Skip to main content
The Cochrane Database of Systematic Reviews logoLink to The Cochrane Database of Systematic Reviews
. 2020 May 25;2020(5):CD008552. doi: 10.1002/14651858.CD008552.pub7

Interventions for increasing fruit and vegetable consumption in children aged five years and under

Rebecca K Hodder 1,2,3,4,, Kate M O'Brien 1,2,3,4, Flora Tzelepis 2,3,4, Rebecca J Wyse 2,3,4, Luke Wolfenden 1,3,4,5
Editor: Cochrane Heart Group
PMCID: PMC7273132  PMID: 32449203

Abstract

Background

Insufficient consumption of fruits and vegetables in childhood increases the risk of future non‐communicable diseases, including cardiovascular disease. Testing the effects of interventions to increase consumption of fruit and vegetables, including those focused on specific child‐feeding strategies or broader multicomponent interventions targeting the home or childcare environment is required to assess the potential to reduce this disease burden.

Objectives

To assess the effectiveness, cost effectiveness and associated adverse events of interventions designed to increase the consumption of fruit, vegetables or both amongst children aged five years and under.

Search methods

We searched CENTRAL, MEDLINE, Embase and two clinical trials registries to identify eligible trials on 25 January 2020. We searched Proquest Dissertations and Theses in November 2019. We reviewed reference lists of included trials and handsearched three international nutrition journals. We contacted authors of included trials to identify further potentially relevant trials.

Selection criteria

We included randomised controlled trials, including cluster‐randomised controlled trials and cross‐over trials, of any intervention primarily targeting consumption of fruit, vegetables or both among children aged five years and under, and incorporating a dietary or biochemical assessment of fruit or vegetable consumption. Two review authors independently screened titles and abstracts of identified papers; a third review author resolved disagreements.

Data collection and analysis

Two review authors independently extracted data and assessed the risks of bias of included trials; a third review author resolved disagreements. Due to unexplained heterogeneity, we used random‐effects models in meta‐analyses for the primary review outcomes where we identified sufficient trials. We calculated standardised mean differences (SMDs) to account for the heterogeneity of fruit and vegetable consumption measures. We conducted assessments of risks of bias and evaluated the quality of evidence (GRADE approach) using Cochrane procedures.

Main results

We included 80 trials with 218 trial arms and 12,965 participants. Fifty trials examined the impact of child‐feeding practices (e.g. repeated food exposure) in increasing child vegetable intake. Fifteen trials examined the impact of parent nutrition education only in increasing child fruit and vegetable intake. Fourteen trials examined the impact of multicomponent interventions (e.g. parent nutrition education and preschool policy changes) in increasing child fruit and vegetable intake. Two trials examined the effect of a nutrition education intervention delivered to children in increasing child fruit and vegetable intake. One trial examined the impact of a child‐focused mindfulness intervention in increasing vegetable intake.

We judged 23 of the 80 included trials as free from high risks of bias across all domains. Performance, detection and attrition bias were the most common domains judged at high risk of bias for the remaining trials.

There is low‐quality evidence that child‐feeding practices versus no intervention may have a small positive effect on child vegetable consumption, equivalent to an increase of 5.30 grams as‐desired consumption of vegetables (SMD 0.50, 95% CI 0.29 to 0.71; 19 trials, 2140 participants; mean post‐intervention follow‐up = 8.3 weeks). Multicomponent interventions versus no intervention has a small effect on child consumption of fruit and vegetables (SMD 0.32, 95% CI 0.09 to 0.55; 9 trials, 2961 participants; moderate‐quality evidence; mean post‐intervention follow‐up = 5.4 weeks), equivalent to an increase of 0.34 cups of fruit and vegetables a day. It is uncertain whether there are any short‐term differences in child consumption of fruit and vegetables in meta‐analyses of trials examining parent nutrition education versus no intervention (SMD 0.13, 95% CI −0.02 to 0.28; 11 trials, 3050 participants; very low‐quality evidence; mean post‐intervention follow‐up = 13.2 weeks). We were unable to pool child nutrition education interventions in meta‐analysis; both trials reported a positive intervention effect on child consumption of fruit and vegetables (low‐quality evidence).

Very few trials reported long‐term effectiveness (6 trials), cost effectiveness (1 trial) or unintended adverse consequences of interventions (2 trials), limiting our ability to assess these outcomes. Trials reported receiving governmental or charitable funds, except for four trials reporting industry funding.

Authors' conclusions

Despite identifying 80 eligible trials of various intervention approaches, the evidence for how to increase children's fruit and vegetable consumption remains limited in terms of quality of evidence and magnitude of effect. Of the types of interventions identified, there was moderate‐quality evidence that multicomponent interventions probably lead to, and low‐quality evidence that child‐feeding practice may lead to, only small increases in fruit and vegetable consumption in children aged five years and under. It is uncertain whether parent nutrition education or child nutrition education interventions alone are effective in increasing fruit and vegetable consumption in children aged five years and under. Our confidence in effect estimates for all intervention approaches, with the exception of multicomponent interventions, is limited on the basis of the very low to low‐quality evidence. Long‐term follow‐up of at least 12 months is required and future research should adopt more rigorous methods to advance the field.

This is a living systematic review. Living systematic reviews offer a new approach to review updating, in which the review is continually updated, incorporating relevant new evidence as it becomes available. Please refer to the Cochrane Database of Systematic Reviews for the current status of this review.

Plain language summary

Interventions for increasing eating of fruit and vegetables in children aged five years and under

Background

Not eating enough fruit and vegetables is a considerable health burden in developed countries. Eating adequate amounts of fruit and vegetables is associated with a reduced risk of future non‐communicable diseases (such as heart and circulatory disease). Early childhood represents a critical period for the establishment of dietary habits that track into adulthood. Interventions to increase consumption of fruit and vegetables in early childhood may therefore be an effective strategy to reduce this disease burden.

Review question

To assess the impact of interventions designed to increase eating of fruit or vegetables or both among children aged five years and under.

Methods

We searched various electronic databases and relevant journals to find trials. We contacted authors of included trials for additional potentially relevant trials. Any randomised trial (participants have the same chance of being assigned to treatment or control) of interventions aiming to increase the intake of fruit or vegetables or both by children aged five years and under that measured intake was eligible. Two review authors independently searched for and extracted information from trials. The evidence is current to January 2020.

Results

We included 80 trials with 12,965 people taking part. Fifty trials examined child‐feeding practice interventions (e.g. repeated exposure to vegetables), 15 examined parent nutrition education interventions, 14 examined multicomponent interventions (e.g. combining preschool policy changes with parent education), two examined child nutrition education interventions and one examined a child‐focused mindfulness intervention. Child‐feeding practice interventions may lead to, and multicomponent interventions probably lead to, small increases in children's intake of fruit and vegetables in the short term (less than 12 months). It is uncertain whether parent or child nutrition education interventions alone are effective in increasing children's eating of fruit and vegetables. There was not enough information to assess long‐term effectiveness, cost effectiveness or unintended harms. Trials reporting funding support received governmental or charitable funds, except for four trials that received industry funding.

Conclusions

Child‐feeding practices may increase fruit and vegetable intake by children (by 5.30 grams a day), but this conclusion is based on low‐quality evidence and our confidence in this effect is limited. Multicomponent interventions probably increase fruit and vegetable intake by children (by 0.34 cups a day), based on moderate‐quality evidence. It is uncertain whether parent nutrition education interventions increase children's fruit and vegetable intake.

This is a living systematic review. Living systematic reviews offer a new approach to review updating, in which the review is continually updated, incorporating relevant new evidence as it becomes available. Please refer to the Cochrane Database of Systematic Reviews for the current status of this review.

Summary of findings

Background

Description of the condition

Insufficient consumption of fruit and vegetables is associated with a range of non‐communicable diseases, such as cancer and cardiovascular disease (Boeing 2012; Branca 2019; Global Burden of Disease 2017; Hartley 2013; Micha 2015; World Health Organization 2011; World Health Organization 2019). Globally, 2.8% of all deaths and 1.0% of all disability‐adjusted life years (DALYs) each year are attributable to inadequate fruit and vegetable intake (World Health Organization 2017). Low fruit and vegetable consumption is responsible for 14% of gastrointestinal cancer deaths, 11% of all ischaemic heart disease and 9% of all stroke deaths (World Health Organization 2017) and as a result is a public health priority.

The daily amount of fruit and vegetables recommended for children aged five years and younger varies internationally. For example, in the USA 1 cup of fruit and 1½ cups of vegetables is recommended respectively for children aged two to three years and four to eight years (US Department of Health and Human Services 2015). In Australia, 0.5 to 1.15 servings of fruit (75 g to 113 g) and 2 to 4½ servings of vegetables (150 g to 338 g) are recommended for children aged one to two years, two to three years and four to eight years (National Health and Medical Research Council 2013). Population surveys of children indicate that such recommendations are not currently being met and there is a need to increase children's intake of fruit and vegetables (Australian Bureau of Statistics 2014; Inchley 2016; Lynch 2014; Lock 2005; National Cancer Institute 2015; World Health Organization 2014); for example, just over a third of school‐aged children from European nations report consuming vegetables on a daily basis (Inchley 2016). Data from younger children are similar. A survey conducted in 2007 to 2010 in the USA reported that 33% of children aged one to three years met fruit recommendations and 13% met vegetable recommendations (National Cancer Institute 2015). A national survey conducted in 2011 and 2012 in Australia reported that 90% of children aged two to eight years consumed the recommended number of fruit servings a day, but only 49% of children aged two to three years consumed the recommended servings of vegetables (Australian Bureau of Statistics 2014). Globally, the mean intake of fruit and vegetables is below the World Health Organization (WHO) recommendations across all WHO regions. South American, African, and South‐East Asian nations report the lowest quantities of child fruit and vegetable intake, where school‐aged children typically consume less than 300 g a day (Lock 2005).

There is some evidence from longitudinal trials to suggest that eating behaviours established in childhood are likely to persist into adulthood (Albuquerque 2018; Craigie 2011; Winpenny 2018). Follow‐up data at 37 years from the Boyd Orr cohort trial of British children, for example, found lower rates of all‐cause cardiovascular mortality among children with greater intake of vegetables in childhood (Ness 2005). Additionally, longitudinal trials have shown that fruit and vegetable consumption in childhood is associated with reductions in non‐communicable diseases in adulthood (Maynard 2003; Ness 2005). Encouraging healthy eating among children may therefore represent an effective primary prevention strategy for reducing the risk of non‐communicable diseases (Boeing 2012; Centers for Disease Control and Prevention 2011; Maynard 2003; Ness 2005; World Health Organization 2004). Adequate fruit and vegetable intake during childhood may also have a number of immediate benefits, including reducing the risk of micronutrient deficiencies and a number of respiratory illnesses (Antova 2003; Boeing 2012; Forastiere 2005; World Health Organization 2003).

Description of the intervention

The aetiology of fruit and vegetable consumption is complex, involving the dynamic interaction of a variety of factors. Given such complexity, a number of frameworks have been produced to guide the development of interventions to increase fruit and vegetable intake (Centers for Disease Control and Prevention 2011; Klepp 2005; Miller 2000; World Health Organization 2004). For example, the conceptual framework developed for the international Pro Children Project suggests that a variety of cultural, physical, social environment and personal factors, that operate at multiple levels, influence children's intake of fruit and vegetables (Klepp 2005). These can include macro national‐level influences such as national‐level food policies, the availability of promotion of fruits and vegetables in community settings and organisations, family child‐feeding practices, and individual habit, liking, self‐efficacy and knowledge (Rasmussen 2006).

Despite the range of potential intervention targets, previous trials have tended to focus on those determinants more amenable to intervention, such as nutrition knowledge and skills, or the food environment of settings such as childcare services and the home (Hendrie 2017). Previous reviews in children aged five years and younger (Campbell 2007; Hesketh 2010; Tedstone 1998), have found some evidence for multicomponent interventions and interventions that were undertaken across a broader range of settings (Hendrie 2017). For example, an intervention aiming to prevent the onset of cardiovascular disease in preschoolers targeted multiple risk factors, including child fruit and vegetable consumption (Peñalvo 2013a; Peñalvo 2013b). The multicomponent intervention including curriculum, school environment and family components successfully improved preschoolers' fruit and vegetable habits, which were also maintained over time (Peñalvo 2013a; Peñalvo 2013b; Peñalvo 2015). Interventions that target improved availability of fruits and vegetables in home and community settings have also been suggested as effective in reviews of interventions in low‐ and middle‐income countries (Sirasa 2019). Similarly a review of methods for increasing vegetable consumption in two‐ to five‐year‐old children reported that strategies such as repeated exposure, modelling and incentivising tasting with non‐food rewards represented the most promising approaches parents could use to improve child vegetable intake (Holley 2017).

How the intervention might work

A number of theories have been used to explain the mechanisms by which interventions may influence children's fruit and vegetable consumption (Rasmussen 2006). In most instances, psychosocial theories such as Social Cognitive Theory (Bandura 1986), the Theory of Planned Behaviour (Ajzen 1991), or the Stages of Change Trans‐theoretical Model (Prochaska 1984), have been used to explain possible causal pathways to fruit and vegetable consumption (Rasmussen 2006). Collectively, such theories assert that changes in attitudes, knowledge and skills and perceived norms and expectancies are required for behavioural change. Despite their use, we were unable to identify any trials reporting the extent to which these theoretical constructs explain changes in fruit and vegetable consumption in children aged under five years following intervention. However, mediation analysis of broader dietary intervention for mothers of infants revealed that higher maternal feeding knowledge and lower use of foods as rewards mediate the effects of the intervention on the nutritional quality of child diet (Spence 2014). In school‐aged children there is some support for theoretically‐based interventions, including the theory of planned behaviour (Gratton 2007), but systematic reviews examining the theoretical mechanisms of dietary behavior change in youth suggest they are relatively unsuccessful in changing mediators, with self‐efficacy and outcome expectations the mechanisms most consistently associated with dietary behaviour change (Cerin 2009).

The international Pro Children Project incorporated Social‐Ecological Model in its conceptual theoretical framework of determinants of children's fruit and vegetable consumption (Klepp 2005). Interventions derived from Social‐Ecological Model recognise the importance of more structural influences on children's intake of fruit and vegetable consumption, for example, the availability or accessibility of fruit and vegetables in the home or in settings frequented by children, such as schools. To our knowledge, only one trial of a fruit and vegetable intervention has examined factors that mediate intervention effects. The randomised trial of a telephone‐based intervention for parents of children aged three to five years was developed based on socio‐ecological theory. Mediation analysis found that parent fruit and vegetable intake and parent provision of these foods mediated the effects of the intervention (Wyse 2015).

More recently, system science approaches have sought to describe broader systems‐based determinants of fruit and vegetable intake in children aged 2 to 14 years and catalyse community action to increase intake through community‐based participatory research processes. In New Zealand, for example, system maps have been developed by community coalitions including students, parents, community leaders, health promotion practitioners and retailers specifying the causal pathways for identifying actions that may be taken to improve child intake of fruit and vegetables at the population level (Gerritsen 2019a). The process identified a range of factors suggested to be causally related to child fruit and vegetable consumption, including food marketing, price of fruit and vegetables, and limited food preparation time and skills of parents. Similarly, qualitative systems dynamics' method of cognitive mapping applied with national food system actors on New Zealand identified subsidising fruit and vegetables and intervention in early childhood as particularly promoting strategies to improve child fruit and vegetable intake. However, such system maps are yet to be empirically tested (Gerritsen 2019b).

In addition to improving the dietary outcomes of children, there remains the potential that fruit and vegetable interventions could have unintended adverse outcomes. While it has been recommended that intervention logic models also consider potential adverse effects (Bonell 2015), these are rarely included in programme theories, measured or reported in trials of health interventions (Hopewell 2008; Wolfenden 2019a). A range of potential adverse outcomes could, however, be hypothesised for interventions targeting children under five years. For example, the costs of fruit and vegetables is frequently reported as a barrier to their intake (Chapman 2017). Promotion of greater consumption could therefore increase financial stress and hardship among socio‐economically disadvantaged families. Furthermore, the introduction of fruit and vegetable curricula into childcare services may displace other important learning opportunities for children in these settings. The potential benefits of public health interventions must be weighed against their potential for harm. To adequately inform public‐health decision‐making, measures of benefit and potential harm, including cost effectiveness, should be hypothesised and reported in trials of fruit and vegetable interventions, and reviews that synthesise this evidence.

Why it is important to do this review

Previous reviews have identified a number of factors associated with fruit and vegetable consumption among children (Blanchette 2005; Pearson 2008; Rasmussen 2006; Van der Horst 2007). While such reviews provide important information for the development of interventions, only systematic reviews of intervention trials can determine the effectiveness of strategies to increase child fruit and vegetable consumption. A number of such reviews have been published (Burchett 2003; Ciliska 2000; Delgado‐Noguera 2011; De Sa 2008; Evans 2012; French 2003; Hendrie 2017; Howerton 2007; Knai 2006; Savoie‐Roskos 2017; Van Cauwenberghe 2010). However, only a few have focused specifically on children aged five years and under (Campbell 2007; Hesketh 2010; Tedstone 1998), with the most recent of these conducted in 2010. Despite these reviews reporting a positive effect of such interventions (Hesketh 2010; Tedstone 1998), most lacked important information relevant to practice, such as the effectiveness of interventions for various subpopulations (such as minority groups), the cost effectiveness of interventions, or the presence of any unintended adverse effects of the intervention. Similarly, as positive impacts of health behaviour interventions may not be sustained, an examination of the longer‐term effectiveness of interventions (more than 12 months post‐intervention) is important for policy‐makers and practitioners to assess the potential health benefits of fruit and vegetable interventions (Fjeldsoe 2011; Jones 2011). Previous reviews have not specifically examined the impact of interventions based on the length of post‐intervention follow‐up. A comprehensive systematic review on this issue is therefore required to provide guidance for practitioners and policy‐makers interested in implementing strategies to promote the consumption of fruits and vegetables in early childhood.

Following the publication of the 2017 update of this review, we will maintain it as a living systematic review. This means we will be continually running the searches and rapidly incorporating any newly‐identified evidence into the review; for more information about the living systematic review approach piloted by Cochrane that this review was a part of, see Appendix 1. We believe a living systematic review approach is appropriate for this review, for three reasons. First, the review addresses a particularly important public health issue; the growing burden of disease and mortality attributable to low fruit and vegetable intake. Insufficient consumption of fruits and vegetables is associated with a range of non‐communicable diseases such as cancer and cardiovascular disease, and in most regions of the globe current daily consumption of fruits and vegetables is well below the recommended intake to reduce the risk of non‐communicable diseases. Early childhood represents a critical period for the establishment of healthy eating behaviours, such as fruit and vegetable intake, as dietary habits developed early are likely to persist into adulthood. It is therefore important to better understand how to improve intake of fruits and vegetables during childhood. Secondly, there remains uncertainty in the existing evidence; despite searches including the current update (up to 25 January 2020) identifying 80 trials for inclusion in the review, no high‐quality evidence exists about effective interventions to increase the fruit and vegetable consumption of children. Thirdly, we are aware of multiple ongoing trials in this area of research that will be important to incorporate, and we expect that future research will have an impact on the conclusions.

Objectives

To assess the effectiveness, cost effectiveness and unintended adverse events of interventions designed to increase the consumption of fruit or vegetables or both among children aged five years and under.

Methods

Criteria for considering studies for this review

Types of studies

Eligible trials were randomised controlled trials (RCTs), including cluster‐randomised controlled trials (C‐RCTs) and cross‐over trials, that:

  1. compared two or more alternative intervention programmes to increase the consumption of fruit or vegetables or both of children aged five years and under;

  2. compared an intervention programme to increase the consumption of fruit or vegetables or both of children aged five years and under with a standard‐care or no‐intervention control group.

We excluded trials which did not include fruit or vegetable intake as a primary trial outcome, to avoid the potential confounding effects of other interventions, and because publication bias and selective outcome reporting are more predominant among secondary trial outcomes (or outcomes that were not otherwise stated). We included trials that did not state a primary trial outcome but did assess an eligible fruit or vegetable intake outcome. We included eligible cross‐over trials in the review, as we deemed them a suitable and common method for assessing the effect of interventions to increase the fruit and vegetable consumption of children.

Types of participants

Participants could include:

  1. children aged five years and under. Trials including children older than five years were included only if the mean age of the trial sample at baseline was five years or less;

  2. parents, guardians and families responsible for the care of children aged five years and under;

  3. professionals responsible for the care of children aged five years and under, including childcare staff and health professionals.

Types of interventions

We considered any educational, experiential, health promotion and/or psychological or family or behavioural therapy or counselling or management or structural or policy or legislative reform interventions, designed to increase consumption of fruit or vegetables or both in children aged five years and under (as defined in types of participants). Interventions could be conducted in any setting including the home, childcare/preschool services, health services, or community settings. 

Comparison: Any alternative intervention to encourage fruit and vegetable consumption as described above, or a no‐intervention control, usual care, or attention control or wait‐list control. Attention controls in randomised trials for behavioural interventions are those that include clinical attention and induce the expectation of therapeutic benefit for control for non‐specific effects of the intervention (Freedland 2011). Wait‐list control groups that are also designed to control for non‐specific effects involve participants being allocated to receive an intervention at trial conclusion (delayed start) (Whitehead 2004).

Types of outcome measures

We included trials with evaluated outcomes, measuring biomedical or dietary indices, or both, of the review's primary outcome.

Primary outcomes

The primary outcome was children's fruit and vegetable intake. Fruit and vegetable intake could be assessed using a variety of measures, including:

  1. change in the number of portions or serves of daily fruit or vegetable or both at follow‐up, as measured by diet recalls, food diaries, food frequency questionnaires or diet records completed by an adult on behalf of the child. We grouped the interventions by short‐term effects (less than 12 months post‐intervention) and long‐term effects (at least 12 months post‐intervention);

  2. change in grams of fruit or vegetables or both at follow‐up, as measured by diet recalls, food diaries, food frequency questionnaires or diet records completed by an adult on behalf of the child. We grouped them by short‐term effects (less than 12 months post‐intervention) and long‐term effects (at least 12 months post‐intervention);

  3. changes in biomedical markers of consumption of fruit or vegetables or both, such as α‐carotene, β‐carotene, cryptoxanthin, lycopene and lutein. We grouped them by short‐term effects (less than 12 months post‐intervention) and long‐term effects (12 months or more post‐intervention).

Outcomes of fruit or vegetable juice intake alone were not eligible. Outcomes that included child fruit and vegetable juice intake as part of an aggregate measure of child fruit or vegetable intake were eligible.

Secondary outcomes
  1. Estimates of absolute costs and cost effectiveness of interventions to increase the consumption of fruits and vegetables reported in identified trials.

  2. Any reported adverse effects of an intervention to increase the consumption of fruits and vegetables reported in identified trials. This could include any physical, behavioural, psychological or financial impact on the child, parent or family, or the service or facility where an intervention may have been implemented.

Search methods for identification of studies

This review represents the fifth update of a review first published in 2012 (Wolfenden 2012), and updated in 2017 (Hodder 2017), January 2018 (Hodder 2018a), May 2018 (Hodder 2018b), and November 2019 (Hodder 2019).

Electronic searches

We searched the following electronic databases between 25 August 2019 and 25 January 2020 to identify any relevant trials added since the last published review (Hodder 2019):

  1. Cochrane Central Register of Studies (CENTRAL, via CRS‐Web);

  2. Epub Ahead of Print, In‐Process & Other Non‐Indexed Citations, MEDLINE Daily and MEDLINE (Ovid, 1946 to 24 January 2020);

  3. Embase (Ovid, 1980 to 2020 Week 4).

As this is a living systematic review, we are conducting monthly searches of these databases, for which we have set up auto‐alerts to deliver monthly search yields, where possible.

We had previously conducted electronic searches of CINAHL (EBSCO, 1937 to 5 July 2016; searched 5 July 2016) and PsycINFO (Ovid, 1806 to June week 5 2016; searched 5 July 2016; Hodder 2017).

The search strategies are described in Appendix 2. We applied the sensitivity‐maximising version of the Cochrane RCT filter (Lefebvre 2011) to MEDLINE, and adaptations of it to the other databases except for CENTRAL. We imposed no restrictions by date or language of publication.

Searching other resources

We searched the reference lists of included articles and handsearched all articles published between September 2017 and September 2019 in three relevant international peer‐reviewed journals (Journal of Nutrition Education and Behavior, Public Health Nutrition, and Journal of the Academy of Nutrition and Dietetics (previously titled Journal of the American Dietetic Association)). 

We are now running monthly trial registry searches of the WHO International Clinical Trials Registry Platform (www.who.int/ictrp/) and ClinicalTrials.gov (www.clinicaltrials.gov), which we last conducted in January 2020. In September 2016 we also searched a third clinical trials register, the metaRegister of clinical trials (www.isrctn.com/page/mrct).

We also searched a database of published dissertations (Proquest Dissertations and Theses) in November 2019 and GoogleScholar in December 2019.

We contacted the authors of included trials to try to obtain other eligible trials published in peer‐reviewed journals, as well as ongoing trials. We describe ongoing trials, where available, detailing the primary author, research question(s), methods and outcome measures (Characteristics of ongoing studies).

As this is a living systematic review, we will continue to handsearch the three journals listed above, and the database of published dissertations and 'grey literature' in GoogleScholar manually every six months.

As additional steps to inform the living systematic review, we will contact corresponding authors of ongoing trials as they are identified and ask them to advise when results are available, or to share early or unpublished data. We will contact the corresponding authors of any newly‐included trials for advice as to other relevant trials. We will conduct citation tracking of included trials in Web of Science Core Collection on an ongoing basis. For that purpose, we have set up citation alerts in Web of Science Core Collection. We will manually screen the reference lists of any newly‐included trials.

We will review search methods and strategies approximately yearly, to ensure they reflect any terminology changes in the topic area, or in the databases.

Data collection and analysis

Selection of studies

Two review authors (RH, KO) independently screened titles and abstracts of identified papers. Review authors were not blinded to the details of the trial author or journal. Review authors applied a standardised screening tool to assess eligibility. We screened articles against the eligibility criteria of participants (mean age of children more than five years), outcome (primary outcome was not fruit and vegetable intake), comparator (was not a no‐intervention, usual care, attention, wait‐list control or alternate intervention), intervention (did not aim to increase child fruit or vegetable intake) and trial type (was not RCT, C‐RCT or cross‐over trial with random allocation to group). Based on the title and abstract, we excluded papers which clearly did not meet the eligibility criteria of the review. Two review authors (RH, KO) then independently examined the full text of all remaining articles. We documented Information about the reason for the ineligibility of any paper for which we reviewed the full text, and present it in the table 'Characteristics of excluded studies'. A third review author with expertise in review methodology (LW) resolved any disagreements between review authors on trial eligibility. For those papers which did not provide sufficient information to determine eligibility, we contacted the trial authors for clarification.

We will immediately screen any new citations retrieved by the monthly searches. As the first step of monthly screening, we will apply the machine learning classifier (RCT model) (Wallace 2017), available in the Cochrane Register of Studies (CRS‐Web) (Cochrane 2017a). The classifier assigns a probability (from 0 to 100) to each citation of being a true RCT. For citations that are assigned a probability score of less than 10, the machine learning classifier currently has a specificity/recall of 99.987% (Wallace 2017). We will screen in duplicate and independently all citations that have been assigned a score from 10 to 100. Cochrane Crowd will screen citations that score 9 or less (Cochrane 2017b) and will return any citations that they deem to be potential RCTs to the review authors for screening.

Data extraction and management

Two review authors (KO, RW) independently extracted data from each included trial for the review update. Review authors were not blinded to the details of the trial author or journal. We recorded data on data extraction forms designed and piloted specifically for this review. Consultation with a third review author with expertise in review methodology (RH) resolved discrepancies between review authors about data extraction. We tried to contact authors of included papers in instances where the information required for data extraction was not available from the published report, or was unclear. One review author entered extracted data into the systematic review software Review Manager 5 (Review Manager 2014) (KO) and another review author checked it (RH). Where available, we extracted the following information from included trials: 

  1. Information on the trial, research design and methods, such as the trial authors; date of publication; date of trial initiation; trial duration; setting; number of participants; participants' age, gender, ethnicity, and socioeconomic position;

  2. Information on the experimental conditions of the trial, such as the number of experimental conditions; intervention and comparator components; duration; number of contacts; modalities; interventionist; and integrity;

  3. Information on the trial outcomes and results, such as rates of recruitment and attrition; sample size; number of participants per experimental condition; mean and standard deviation of the primary or secondary outcomes described above; any subgroup analyses by gender, population group or intervention characteristics; and analyses (including whether trials appropriately adjusted for clustering).

Assessment of risk of bias in included studies

Two review authors (KO, FT) independently assessed the risks of bias in the included trials for the review update. We consulted a third review author (RH) with expertise in review methodology to resolve any disagreements between review authors. Review authors used the tool outlined in the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2017), to assess the risks of bias. The tool requires an explicit judgement by the review authors, based on trial information, about the risks of bias attributable to the generation of the random sequence, the allocation concealment, the blinding of participants, personnel and outcome assessors, the completeness of outcome data, selective reporting, and any other potential threats to validity. We also judged recruitment bias, baseline imbalance, loss of clusters and incorrect analysis for C‐RCTs. Judgements on the risks of bias for each trial are recorded in the ‘Risk of bias’ tables accompanying the review.

Measures of treatment effect

Where meta‐analyses were performed, we expressed the intervention effect for continuous outcomes as a mean difference (MD) where outcomes were reported using a standard metric (such as grams), and as a standardised mean difference (SMD) where outcomes were reported using different methods or metrics of fruit and vegetable intake (such as grams, grams per kilogram of body weight, and serves per day). Should dichotomous outcome data be reported in included trials in future updates, we will attempt to synthesise them in meta‐analyses and express the intervention effect as odds ratios.

Unit of analysis issues

We assessed cluster‐randomised trials in the review for unit‐of‐analysis errors. Where cluster‐randomised trials did not account for clustering, we contacted trial authors to provide intra‐class correlation coefficients (ICCs) to allow calculation of design effects and effective sample sizes to enable individual‐level pooling. Where ICCs were not available, we estimated a mean ICC from reported ICCs of included trials, and used it to calculate effective sample sizes.

Dealing with missing data

Where available, we reported outcomes of trials using an intention‐to‐treat analysis. If trials did not report intention‐to‐treat analyses, we reported as‐treated analysis of trial outcomes. We explored the impact of including as‐treated trial outcomes in meta‐analysis for trials with a high rate of attrition (more than 20% for short‐term outcomes) in sensitivity analyses (see below Sensitivity analysis). We contacted trial authors to obtain any missing data (e.g. standard deviations).

Assessment of heterogeneity

We assessed statistical heterogeneity by visual inspection of forest plots of the included trials, and calculation of the I2 statistic where we were able to pool data from included trials (Higgins 2003). Due to the similarity in trial characteristics (e.g. type of participants, intervention or outcomes), we could not conduct subgroup analyses by trial characteristics to identify the source of substantial heterogeneity (defined as I2 greater than 50%).

Assessment of reporting biases

We checked for reporting bias by visual inspection of the funnel plots.

Data synthesis

We assessed trial outcomes using a variety of dietary assessment tools and reported in various metrics, including vitamin C from fruit, fruit or vegetable serves, and grams of fruit or vegetable consumption, or both. We calculated SMDs (to account for variable outcome measures) for each comparison, using the generic inverse variance method in a fixed‐effect meta‐analysis model where there was no or low statistical heterogeneity in the primary analysis, or a random‐effects meta‐analysis model where there was unexplained heterogeneity in the primary analysis, using the Review Manager 5 (RevMan 5) software (Review Manager 2014). We selected post‐intervention values over change‐from‐baseline data for inclusion in meta‐analysis, to reduce the risk of selective reporting and to maximise the number of trials that could be pooled.

We synthesised trials that provided data suitable for pooling in meta‐analyses grouped by intervention type (infant feeding, parent nutrition education, and multicomponent interventions). For trials with multiple intervention arms testing different intervention types, we included the relevant intervention arm and comparison group data in each relevant meta‐analysis (for example, intervention versus control data were available and included in the infant feeding and multicomponent meta‐analyses for Nekitsing 2019b). When trials reported multiple fruit or vegetable outcomes, we selected the stated primary trial outcome for inclusion in our meta‐analyses, or if a primary outcome was not stated we selected the first reported outcome for inclusion. For trials that reported multiple follow‐up points, we extracted data from the longest follow‐up period for inclusion in meta‐analyses.

We selected reported trial estimates that adjusted for potential confounding variables for inclusion in meta‐analysis over reported estimates that did not adjust for potential confounding variables. Similarly, for C‐RCTs that reported trial estimates that were unadjusted and adjusted for clustering, we preferred estimates that adjusted for clustering for inclusion in meta‐analyses. For C‐RCTs that did not report post‐intervention trial estimates (and a relevant measure of variance) that accounted for clustering, we calculated a design effect and effective sample size using trial data (number of clusters, number of participants analysed) and a reported ICC from one of the included trials (vegetable intake: ICC 0.014, fruit intake: ICC 0.016; De Bock 2012). For such C‐RCTs (De Coen 2012; Hong 2018b; Kobel 2019; Lee 2015; Martinez‐Andrade 2014; Namenek Brouwer 2013; Nekitsing 2019b; Nicklas 2017; O'Connell 2012; Roset‐Salla 2016; Smith 2017; Verbestel 2014; Williams 2014; Zeinstra 2017; Zeinstra 2018), we entered the reported post‐intervention outcome data (e.g. mean and standard deviation) and author‐calculated effective sample sizes into RevMan 5 to calculate individual‐level adjusted trial estimates to enable inclusion in meta‐analyses. We tried to pool trials separately that compared two or more alternative interventions.

For cross‐over trials, we tried to synthesise results separately from parallel RCTs, by pooling results from paired analyses that adjust for within‐individual comparisons. If such data were not available, we combined results by pooling data from the first cross‐over period (i.e. essentially a parallel RCT) with parallel RCTs.

In all instances where we could not combine data in a meta‐analysis, we have provided a narrative summary of the trial findings according to the review objectives.

Whenever we find new evidence (i.e. trials, data or information) meeting the review inclusion criteria, we will continue to extract the data, assess risks of bias and incorporate it into the synthesis every three months, or as appropriate.

We will continue to incorporate any new trial data into existing meta‐analyses using the standard approaches outlined in the Data synthesis section.

We did not adjust the meta‐analyses to account for multiple testing, given that the methods related to frequent updating of meta‐analyses are under development (Simmonds 2017).

Subgroup analysis and investigation of heterogeneity

Where possible, we conducted subgroup analyses of interventions for the following subgroups:

  1. Interventions targeting boys and girls (planned and defined a priori, not conducted)

  2. Interventions targeting minority groups including indigenous populations (planned and defined a priori, not conducted, described narratively)

  3. Interventions delivered in various settings including health and children’s services (planned and defined a priori, conducted where possible for some comparisons and settings)

  4. Interventions of varying intensities, defined in terms of the number and duration of intervention contacts or components (planned and defined a priori, not conducted)

  5. Interventions delivered in different modes, such as by telephone, the Internet or face‐to‐face (planned and defined a priori, conducted for some comparisons and modalities, otherwise described narratively)

  6. Interventions targeting children < 12 months of age and children ≥ 12 months of age (post hoc, conducted where possible)

Sensitivity analysis

Where possible, we conducted sensitivity analyses to explore the impact on the overall assessment of treatment effects.

  1. Excluding trials at high risk of bias (defined a priori)

  2. Excluding trials not reporting an intention‐to‐treat analysis, with high rates of participant attrition defined as greater than 20% (defined a priori)

  3. Excluding trials that did not have a primary outcome of child fruit and vegetable, fruit or vegetable consumption (post hoc)

For the sensitivity analysis excluding trials that did not have a primary outcome of child fruit and vegetable, fruit or vegetable consumption, we considered trials to have a primary outcome of children's fruit and vegetable intake even when this was not explicitly stated if: children's fruit and vegetable intake was the only reported outcome, a sample size calculation for children's fruit and vegetable intake was reported, or children's fruit and vegetable intake was the first reported outcome.

Other

We will continue to review our scope and methods if appropriate in the light of potential changes in the topic area, or the evidence being included in the review (e.g. additional comparisons, interventions or outcomes, or new review methods available).

The review was piloted as a living systematic review up until March 2018 and continues to be maintained as a living systematic review.

Summary of findings and assessment of the certainty of the evidence

We created 'Summary of findings' tables using the following outcomes.

  1. Child fruit and vegetable intake. This could include changes in the number of portions or serves or grams of daily fruit or vegetable or both at follow‐up, as measured by diet recalls, food diaries, food frequency questionnaires or diet records completed by an adult on behalf of the child; or changes in biomedical markers of consumption of fruit or vegetables or both, such as α‐carotene, β‐carotene, cryptoxanthin, lycopene and lutein.

  2. Estimates of absolute costs and cost effectiveness of interventions to increase the consumption of fruit and vegetables reported in the included trials.

  3. Any reported adverse events of an intervention to increase the consumption of fruit and vegetables reported in the included trials. This could include any physical, behavioural, psychological or financial impact on the child, parent or family, or the service or facility where an intervention may have been implemented.

We have produced four 'Summary of findings' tables, one for each of the following comparisons:

  1. Child‐feeding interventions compared to no‐intervention control;

  2. Parent nutrition education interventions compared to no‐intervention control;

  3. Multicomponent interventions compared to no‐intervention control;

  4. Child nutrition education interventions compared to no‐intervention control.

We used the five GRADE considerations (trial limitations, consistency of effect, imprecision, indirectness and publication bias) to assess the quality of a body of evidence as it relates to the trials that contribute data to the meta‐analyses for the prespecified outcomes. We used methods and recommendations described in Section 8.5 (Higgins 2017), and Chapter 11 (Schünemann 2017), of the Cochrane Handbook for Systematic Reviews of Interventions, using GRADEpro GDT software (GRADEpro GDT). We justified all decisions to downgrade the quality of trials using footnotes, and made comments to aid the reader's understanding of the review where necessary. For each comparison where we had calculated a SMD, we re‐expressed it based on the instrument used in the lowest risk of bias in that comparison (e.g. grams of vegetable intake or serves of vegetables a day), by multiplying the post‐intervention standard deviation of the control group by the pooled SMD.

Two review authors (RH, KO), working independently, judged the quality of the evidence, with disagreements resolved by discussion or by involving a third review author (LW). We justified, documented and incorporated the judgements into the reporting of results for each outcome.

We extracted trial data, formatted our comparisons in data tables and prepared a 'Summary of findings' table before writing the results and conclusions of our review.

Results

Description of studies

See: Characteristics of included studies; Characteristics of excluded studies; Characteristics of ongoing studies.

Results of the search

We ran searches for the previous reviews (Wolfenden 2012; Hodder 2017; Hodder 2018a; Hodder 2018b; Hodder 2019), and this review update, which together generated a total of 29,079 citations (27,751 previous reviews; 1328 this review update). Screening of titles and abstracts for the review update identified 46 records (1620 in total, including 1574 from the previous reviews) for formal inclusion or exclusion (see Figure 1). Of these, 80 trials (Ahern 2019; Anzman‐Frasca 2012; Bakırcı‐Taylor 2019; Barends 2013; Baskale 2011; Black 2011; Blissett 2016; Campbell 2013; Carney 2018; Caton 2013; Cohen 1995; Cooke 2011; Correia 2014; Coulthard 2014; Cravener 2015; Daniels 2014; De Bock 2012; De Coen 2012; de Droog 2014; de Droog 2017; de Wild 2013; de Wild 2015a; de Wild 2015b; de Wild 2017; Duncanson 2013; Farrow 2019; Fildes 2014; Fildes 2015; Fisher 2012; Forestell 2007; Gerrish 2001; Haire‐Joshu 2008; Harnack 2012; Hausner 2012; Heath 2014; Hetherington 2015; Hong 2018a; Hong 2018b; Hunsaker 2017; Keller 2012; Kim 2018; Kling 2016; Kobel 2019; Kristiansen 2019; Lanigan 2017; Lee 2015; Martinez‐Andrade 2014; Mennella 2008; Namenek Brouwer 2013; Natale 2014a; Nekitsing 2019a; Nekitsing 2019b; Nicklas 2017; O'Connell 2012; Owen 2018; Remington 2012; Remy 2013; Roe 2013; Roset‐Salla 2016; Savage 2012; Segura‐Perez 2017; Sherwood 2015; Skouteris 2015; Smith 2017; Spill 2010; Spill 2011a; Spill 2011b; Staiano 2016; Sullivan 1994; Tabak 2012; Vazir 2013; Verbestel 2014; Vereecken 2009; Wardle 2003a; Watt 2009; Williams 2014; Witt 2012; Wyse 2012; Zeinstra 2017; Zeinstra 2018) met the inclusion criteria, two of which were new trials identified in the most recent update (Coulthard 2014; Lee 2015). We contacted authors of the included trials for any missing outcome data, to permit meta‐analysis.

1.

1

Study flow diagram

Included studies

There were 218 trial arms and 12,965 participants randomised across the 80 included trials. We give full details of the trials in the Characteristics of included studies table. Thirty‐five trials were undertaken in the USA, 15 in the UK, nine in the Netherlands, five in Australia, three in Belgium, two each in Germany and Korea, and one each in Turkey, Norway, Denmark, Mexico, France, Spain, Honduras, and India, and one trial that was undertaken in the UK, Greece and Portugal. Thirty‐eight of the included trials were RCTs, of which 22 compared an intervention to a no‐intervention control group; 30 were C‐RCTs, of which 26 compared an intervention to a no‐intervention control group; and 12 were cross‐over trials. The unit of randomisation in C‐RCTs included childcare centres or preschools (n = 18), parent groups (n = 2), preschool classrooms (n = 2), kindergartens (n = 2), primary schools (n = 1), primary school classrooms (n = 2), kindergarten classrooms (n = 1), primary care clinics (n = 1) and villages (n = 1).

Thirty‐seven trials were conducted in a preschool or school setting; 19 in a home setting; five in a healthcare setting (e.g. primary care); seven in a home and laboratory setting; two in a laboratory setting; five in a preschool or school and home setting; three in a home and healthcare setting; one in a library and home setting; and one in a community setting. Included trials examined the impact of various types of interventions to increase child fruit and vegetable consumption. Seventy‐six of the included trials assessed intake of vegetables, and 36 assessed intake of fruit. Trials used various objective and subjective measures to assess fruit and vegetable intake, such as as‐desired intake and mean daily intake as reported by parents. One trial reported information about intervention costs and two trials reported information on any adverse events or unintended adverse consequences of the intervention. Fourteen trials reported information on the reliability and validity of selected fruit and vegetable intake outcome measures in children. Post‐intervention follow‐up periods ranged from immediate to 3.5 years. Of the 80 included trials, 12 did not report whether funding support was received to undertake the trial, two trials reported no funding support (Baskale 2011; Kim 2018), and the remaining 66 trials reported a source of funding. Funding support for such trials were governmental or charitable, with the exception of four trials that reported receiving funding from food industry sources (Fisher 2012; Gerrish 2001; Sullivan 1994; Tabak 2012).

Child‐feeding practice interventions

Fifty trials tested the impact of specific child‐feeding practice interventions (e.g. repeated exposure) in increasing children's intake of fruit or vegetables (Anzman‐Frasca 2012; Ahern 2019; Barends 2013; Blissett 2016; Carney 2018; Caton 2013; Cohen 1995; Cooke 2011; Correia 2014; Coulthard 2014; Cravener 2015; Daniels 2014; de Droog 2014; de Droog 2017; de Wild 2013; de Wild 2015a; de Wild 2015b; de Wild 2017; Farrow 2019; Forestell 2007; Fildes 2014; Fildes 2015; Fisher 2012; Gerrish 2001; Harnack 2012; Hausner 2012; Heath 2014; Hetherington 2015; Keller 2012; Kim 2018; Kling 2016; Lanigan 2017; Lee 2015; Mennella 2008; Nekitsing 2019a; Nekitsing 2019b; O'Connell 2012; Owen 2018; Remington 2012; Remy 2013; Roe 2013; Savage 2012; Spill 2010; Spill 2011a; Spill 2011b; Staiano 2016; Sullivan 1994; Wardle 2003a; Zeinstra 2017; Zeinstra 2018). Of the trials testing the impact of specific feeding‐practice interventions, 28 compared the effectiveness of two or more interventions and 22 trials compared one or more interventions with a no‐intervention control group; 12 of these were cross‐over trials.

Nineteen trials examined the effect of repeated exposure compared to an alternate or no intervention. Five compared the effect of a repeated exposure intervention to one or more alternative interventions (including associative conditioning, flavour‐flavour learning, flavour‐nutrient learning, choice of vegetable versus no choice; Anzman‐Frasca 2012; Barends 2013; Caton 2013; Hausner 2012; Remy 2013), two trials compared the effect of repeated exposure of offering a variety of vegetables to a single vegetable (Ahern 2019; Coulthard 2014); one compared the effect of repeated exposure choice offering of vegetable to no choice (de Wild 2015a), one trial compared the effect of repeated exposures and variety (Mennella 2008), and one trial compared the effect of repeated exposure to a target vegetable using different preparation methods compared to a control vegetable (de Wild 2017), one compared the effect of repeated exposures and food‐specific phrases (Lanigan 2017). The other eight trials examined the effect of a repeated exposure intervention compared to no‐intervention control, of which two trials examined the effect of repeated exposure alone (Nekitsing 2019b; O'Connell 2012), and one each examined the effect of taste exposure plus rewards (Fildes 2014), exposure plus social reward and exposure plus tangible reward (Remington 2012), exposure and nutrition information (Wardle 2003a), exposure plus tangible reward, exposure plus social reward and exposure alone (Cooke 2011), repeated exposure over six months within early‐intervention agencies for children with autism spectrum disorder (Kim 2018), and repeated exposure over five months within a childcare setting (Zeinstra 2018).

Two trials examined the effect of flavour nutrient learning, of which one trial compared the effects of low‐energy vegetable soup versus high‐energy vegetable soup (de Wild 2013), and the other trial compared incorporation of vegetable puree into meals at three different levels of energy density (Spill 2011a). A further trial examined the effect of six different levels of portion size and energy density on vegetable intake (Kling 2016).

Five trials examined the effect of parent‐feeding interventions. One trial compared the effects of advice to the parent about introducing vegetables to no‐intervention control (Fildes 2015), one trial compared the effects of an early feeding intervention targeting complementary feeding practices to a no‐intervention control (Daniels 2014), one trial compared the effects of early and repeated exposure to vegetables during complementary feeding to a no‐intervention control (Hetherington 2015), one trial compared parent prompting and modelling, parent prompting alone and modelling alone (Blissett 2016), and the other trial compared exclusive breastfeeding, complementary feeding with breastfeeding, and complementary feeding with breastfeeding on demand (Cohen 1995).

Nine trials examined the effect of pairing fruit and vegetables with positive stimuli. One trial compared pairing vegetables with stimuli such as stickers and cartoon packaging to a no‐intervention control (Cravener 2015), one trial compared pairing fruit and vegetables with character branding to a no‐intervention control (Keller 2012), one trial compared pairing of vegetables with a modelling DVD to a non‐food DVD and a no‐DVD control group (Staiano 2016), one trial compared the effects of visual familiarisation (fruit or vegetable story‐book) compared to a control group (Owen 2018), one trial compared pairing vegetables with a vegetable maths game (app) to a non‐vegetable focused maths game (app; Farrow 2019), one trial compared the effect of pairing passive and interactive story‐telling (about a character that eats carrots) featuring either a product‐congruent (a rabbit) or product‐incongruent (a turtle) character across four experimental groups compared to a control group (de Droog 2014), one trial compared the effect of pairing story telling and sensory play featuring a congruent food (celeriac) or incongruent food (carrot) across four experimental groups (Nekitsing 2019a), and one trial compared the effects of passive and interactive story‐telling (about a rabbit that eats carrots) with or without the use of a hand puppet (de Droog 2017). The ninth trial compared pairing carrots with a convivial eating condition (modelling DVD) to a positive restriction group plus convivial eating condition (modelling DVD without carrot consumption followed by modelling DVD with carrot consumption) and a no‐DVD control group (Zeinstra 2017).

Four trials examined the effect of pairing target vegetables with liked foods (Correia 2014; de Wild 2015b; Fisher 2012; Forestell 2007). Two trials examined the effect of varying serving sizes (Savage 2012; Spill 2011b). One trial examined the effects of dietary experience (salted or unsalted vegetables; Sullivan 1994). One trial examined the effect of variety of herbs and spice on vegetable consumption (variety or no variety; Carney 2018). The remaining three trials examined the effect of different serving methods; one trial compared serving fruit and vegetables first before other menu items to a specific plate of prepared food (Harnack 2012), one trial compared three different portion sizes of vegetables served at the beginning of a meal to a control meal (Spill 2010), and the third trial of eight arms compared the impact of a single type of vegetable, a variety of vegetables, a single type of fruit, and a variety of fruits on consumption (Roe 2013).

One trial examined the effect of introducing a variety of flavours when introducing vegetables, which compared exposure to target vegetable (carrot), an alternate vegetable (potato), and a variety of vegetables that did not include the target vegetable (Gerrish 2001). One trial compared exposure to a picture book of a liked, disliked and unfamiliar vegetable on vegetable consumption (Heath 2014). One trial compared the effect of play activities with vegetables (e.g. cutting vegetables into favourite shapes, sorting vegetables into colour groups, craft activities using vegetables) to a control group (Lee 2015).

Parent nutrition education interventions

Fifteen trials tested the impact of parent nutrition education interventions in increasing children's intake of fruit or vegetables (Bakırcı‐Taylor 2019; Black 2011; Campbell 2013; Duncanson 2013; Haire‐Joshu 2008; Hunsaker 2017; Martinez‐Andrade 2014; Roset‐Salla 2016; Sherwood 2015; Skouteris 2015; Tabak 2012; Vazir 2013; Verbestel 2014; Watt 2009; Wyse 2012). Four trials were conducted in a healthcare setting: one trial compared a parenting practices intervention to a maternal diet and physical activity intervention to control (Black 2011), one trial compared a dietitian‐delivered intervention in a first‐time parents' group regarding infant feeding, physical activity and sedentary behaviours to control (Campbell 2013), one trial compared a six‐week parent intervention on obesity awareness and prevention to control (Martinez‐Andrade 2014), and the fourth trial compared a multistrategy parent intervention including health snack exposure to control (Skouteris 2015). Five trials were conducted within a home setting: one trial compared the provision of an interactive nutrition education CD and parenting DVD to parents to wait‐list control (Duncanson 2013), one trial compared a parent intervention inclusive of a tailored newsletter, home visits and materials to usual care (Haire‐Joshu 2008), one trial compared a dietitian‐delivered parent intervention on vegetable availability, picky eating, modelling and family meals to control (Tabak 2012); one trial compared a parent health report on fruit and vegetable consumption compared to control (Hunsaker 2017), and the fifth compared a parent intervention on infant‐feeding practices to usual care (Watt 2009). Two trials were conducted in a preschool setting; one trial compared a parent education intervention on dietary knowledge and changing habits to control (Roset‐Salla 2016), and one trial compared a parent intervention including a poster with guidelines and tips, and tailored feedback about child dietary behaviours versus control (Verbestel 2014). One trial, predominantly conducted in a home setting, compared a parent intervention including a resource kit and telephone calls to improve parent knowledge and skills about the home food environment versus control (Wyse 2012). One trial conducted in both a home and health setting compared a parent complementary feeding intervention to parent complementary feeding and home visit intervention to control (Vazir 2013). One trial compared a paediatrician counselling and home‐based programme delivered to parents of children at risk of obesity compared to a safety and injury prevention control (Sherwood 2015). One trial compared a mHealth nutrition intervention for parents inclusive of a mobile website, social media and text messages compared to control (text messages only regarding physical activity; Bakırcı‐Taylor 2019).

Multicomponent interventions

Fourteen trials tested the impact of multicomponent interventions (e.g. teacher and parent education, preschool policy changes) in increasing children's intake of fruit or vegetables (De Bock 2012; De Coen 2012; Hong 2018b; Kobel 2019; Kristiansen 2019; Namenek Brouwer 2013; Natale 2014a; Nekitsing 2019b; Nicklas 2017; Segura‐Perez 2017; Smith 2017; Vereecken 2009; Williams 2014; Witt 2012). Five trials were conducted in a preschool setting; one trial compared an intervention combining familiarisation, preparation and cooking of meals with children, teachers and parents and parent education regarding modelling and nutrition needs of children to control (De Bock 2012); one trial compared a garden‐based intervention and curriculum materials about targeted fruits or vegetables to control (Namenek Brouwer 2013); one trial compared a teacher curriculum, parent curriculum, and preschool policy intervention to control (Natale 2014a); one trial compared a nutrition education intervention targeting children, parents and preschool staff to control (Williams 2014); and the fifth compared a taste exposure and nutrition education intervention to control (Nekitsing 2019b). Two trials were conducted in a school setting; one trial compared a community, school and parent intervention for nutrition and physical activity health targets to control (De Coen 2012); and the other trial compared a preschool environment, child, parent and teacher intervention to control (Vereecken 2009). One trial, conducted in both a school and a home setting, compared an interactive education intervention about physical activity and healthful eating inclusive of teacher guides and parent newsletters to control (Witt 2012). An additional trial, conducted in both a preschool and a home setting, compared a motivational theatre intervention, which included the screening of four DVDs of a puppet show aimed at persuading children to increase vegetable consumption, and provision of resources to parents including ingredients for a vegetable snack, to a no‐intervention control (Nicklas 2017). One trial conducted in both a preschool and home setting compared provision of fruit and vegetables for consumption at home to a parent and child nutrition education with fruit and vegetable provision and a no‐intervention control (Smith 2017). One trial conducted in a home setting, compared a family nutrition intervention for parents and children and a no‐intervention control (Hong 2018b). One trial conducted in a kindergarten setting, compared a teacher‐centred health promotion programme targeting nutrition, physical activity and screen time to a no‐intervention control (Kobel 2019). One trial conducted in a home and kindergarten setting, compared a multicomponent intervention (including resources and training for staff and parents) to a no‐intervention control (Kristiansen 2019). The last trial, which was conducted in a community setting, compared a nutrition education programme with incentives and marketing text messages to a text message‐only control group (Segura‐Perez 2017).

Child nutrition education interventions

Two trials tested the impact of an intervention involving the delivery of nutrition education to children; both trials compared a nutrition intervention to control with one in nursery classrooms (Baskale 2011), and the other in preschools (Nekitsing 2019b).

Other child‐focused interventions

One trial conducted in schools tested the impact of a mindfulness intervention compared to control (Hong 2018a).

Of note, one four arm trial (Nekitsing 2019b) tested the impact of a child‐feeding practice intervention, a multicomponent intervention and a child nutrition education intervention to control. Each of the three intervention arms for this trial are described in the relevant section above.

Excluded studies

Following an assessment of trial titles and abstracts for the update, we sought the full texts of 46 records for further review for trial eligibility (975 in total, when combined with 929 from previous reviews; Figure 1). We were able to locate the full texts of 43 articles (915 in total, when combined with 872 from previous reviews). We considered 38 records from 29 trials (766 records from 643 trials in total) to be ineligible in this review update following the trial screening process (reasons for exclusion of records included participants n = 9; outcomes n = 17; comparator n = 0; trial design n = 11; intervention n = 1). See Characteristics of excluded studies for further details.

Studies awaiting classification

We identified 20 new trials that we were unable to classify (17 from previous reviews and three new). See Characteristics of studies awaiting classification.

Ongoing studies

We identified 16 ongoing trials with a published protocol (Characteristics of ongoing studies), for which neither published nor unpublished data were available (all from the previous reviews). These include: a C‐RCT testing the effect of a multicomponent intervention involving community partnerships and healthy eating training for staff in early childcare centres compared to a no‐intervention control (Belanger 2016); a RCT testing the effect of a child‐feeding intervention focused on maternal self‐efficacy during feeding and appropriate feeding styles compared to usual care (Horodynski 2011); a C‐RCT testing the effect of a multicomponent home and childcare intervention compared to a no‐intervention control (Østbye 2015); a RCT testing the effect of a multicomponent healthy lifestyle programme delivered to parent‐child dyads compared to a wait list or a no‐intervention control (Sobko 2016); a RCT testing the effect of a multicomponent intervention involving parents and childcare staff compared to a no‐intervention control (Watt 2014); a RCT testing the effect of an eHealth intervention delivered to parents to promote healthy food habits to a no‐intervention control (Helle 2017); a RCT testing the effect of a community‐based and cost‐offset community‐supported agricultural intervention to a no‐intervention control (Seguin 2017); a factorial RCT testing the effect of 65 differing levels of support for family meals delivered to families recruited from disadvantaged preschools to a no‐intervention control (Brophy‐Herb 2017); a C‐RCT testing the effect of a multicomponent intervention (including social marketing, child healthy eating and physical activity education, and home components) delivered to preschool teachers and parents to a wait‐list control (Hennink‐Kaminski 2017); a RCT testing the efficacy of a multicomponent family‐based intervention (incorporating a dialogue approach to adult learning and self‐determination theory) delivered to parent‐child dyads to a no‐intervention control (Hughes 2016a); a C‐RCT cross‐over trial testing the effect of a garden‐based early care and education centre intervention to an attention control (Lee 2018a); a RCT testing customised health promotion intervention (Iran Healthy Start) delivered to educators, children, and parents to usual care (Mehdizadeh 2018); a C‐RCT testing the effect of improving nutrition and physical activity environments of family child care homes to an attention control (Risica 2019); a RCT testing the effect of a home‐visiting programme (Family Spirit Nurture) delivered to parents to an attentional control (Ingalls 2019); a RCT testing the effect of a repeated‐exposure intervention to an infant feeding‐schedule intervention to a repeated‐exposure and infant‐feeding intervention to attention‐control (Van der Veek 2019); and a C‐RCT testing the effect of a warm lunch with a variety of vegetables to a sensory lesson, meal practice and feeding‐style intervention to a no‐intervention control (Blomkvist 2018).

We identified a further three new ongoing trials in trials registries (all from the previous reviews), but no published protocol, nor published or unpublished data were available (Characteristics of ongoing studies). These include a factorial RCT testing the effect of five interventions to increase complementary feeding behaviour by mothers to a no‐intervention control (NCT03229629); a C‐RCT testing the effect of vegetable juice on children’s vegetable consumption to a no‐intervention control (UMIN000033818); and a RCT testing the effect of an intervention targeting healthy introduction of complementary foods delivered to parents to a no‐intervention control (NCT03597061).

Risk of bias in included studies

None of the 80 included trials were at low risk in all 'Risk of bias' domains (Figure 2; Figure 3).

2.

2

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies

3.

3

Risk of bias summary: review authors' judgements about each risk of bias item for each included study

Random sequence generation

We rated 27 of the 80 trials at low risk of bias for random sequence generation, with all random‐number sequences created using various computer‐based software (Bakırcı‐Taylor 2019; Campbell 2013; Cooke 2011; Coulthard 2014; Cravener 2015; Daniels 2014; Duncanson 2013; Fildes 2015; Haire‐Joshu 2008; Hong 2018b; Kling 2016; Kristiansen 2019; Lanigan 2017; Martinez‐Andrade 2014; Namenek Brouwer 2013; Nekitsing 2019a; Nekitsing 2019b; Roe 2013; Skouteris 2015; Spill 2010; Spill 2011a; Spill 2011b; Staiano 2016; Vazir 2013; Vereecken 2009; Watt 2009; Wyse 2012). We rated one trial (Cohen 1995), at high risk of bias for random sequence generation due to allocation being conducted according to infant's week of birth. The method of sequence generation in the remaining 52 trials was unclear (Ahern 2019; Anzman‐Frasca 2012; Barends 2013; Baskale 2011; Black 2011; Blissett 2016; Carney 2018; Caton 2013; Correia 2014; De Bock 2012; De Coen 2012; de Droog 2014; de Droog 2017; de Wild 2013; de Wild 2015a; de Wild 2015b; de Wild 2017; Farrow 2019; Fildes 2014; Fisher 2012; Forestell 2007; Gerrish 2001; Harnack 2012; Hausner 2012; Heath 2014; Hetherington 2015; Hong 2018a; Hunsaker 2017; Keller 2012; Kim 2018; Kobel 2019; Lee 2015; Mennella 2008; Natale 2014a; Nicklas 2017; O'Connell 2012; Owen 2018; Remington 2012; Remy 2013; Roset‐Salla 2016; Savage 2012; Segura‐Perez 2017; Sherwood 2015; Smith 2017; Sullivan 1994; Tabak 2012; Verbestel 2014; Wardle 2003a; Williams 2014; Witt 2012; Zeinstra 2017; Zeinstra 2018).

Allocation

Only six of the 80 trials reported that participant allocation to the experimental group was concealed (low risk of bias) from those conducting the research (Bakırcı‐Taylor 2019; De Bock 2012; Duncanson 2013; Remington 2012; Wardle 2003a; Watt 2009). We judged three trials to have a high risk of selection bias (de Droog 2017; Haire‐Joshu 2008; Nekitsing 2019b). The remaining 71 trials had an unclear risk of selection bias (Ahern 2019; Anzman‐Frasca 2012; Barends 2013; Baskale 2011; Black 2011; Blissett 2016; Campbell 2013; Carney 2018; Caton 2013; Cohen 1995; Cooke 2011; Correia 2014; Coulthard 2014; Cravener 2015; Daniels 2014; De Coen 2012; de Droog 2014; de Wild 2013; de Wild 2015a; de Wild 2015b; de Wild 2017; Farrow 2019; Fildes 2014; Fildes 2015; Fisher 2012; Forestell 2007; Gerrish 2001; Harnack 2012; Hausner 2012; Heath 2014; Hetherington 2015; Hong 2018a; Hong 2018b; Hunsaker 2017; Keller 2012; Kling 2016; Kim 2018; Kobel 2019; Kristiansen 2019; Lanigan 2017; Lee 2015; Martinez‐Andrade 2014; Mennella 2008; Namenek Brouwer 2013; Natale 2014a; Nekitsing 2019a; Nicklas 2017; O'Connell 2012; Owen 2018; Remy 2013; Roe 2013; Roset‐Salla 2016; Savage 2012; Segura‐Perez 2017; Sherwood 2015; Skouteris 2015; Smith 2017; Spill 2010; Spill 2011a; Spill 2011b; Staiano 2016; Sullivan 1994; Tabak 2012; Vazir 2013; Verbestel 2014; Vereecken 2009; Williams 2014; Witt 2012; Wyse 2012; Zeinstra 2017; Zeinstra 2018).

Blinding

Performance bias

In 32 of the trials, we judged the potential for trial outcomes to be influenced by participants or personnel delivering the intervention to be high, due to the lack of blinding and the method used for outcome assessment (e.g. self‐report) (Anzman‐Frasca 2012; Barends 2013; Baskale 2011; Black 2011; Campbell 2013; Cohen 1995; Daniels 2014; De Bock 2012; De Coen 2012; de Wild 2017; Fildes 2014; Fildes 2015; Gerrish 2001; Haire‐Joshu 2008; Hetherington 2015; Hong 2018b; Kobel 2019; Kristiansen 2019; Martinez‐Andrade 2014; Natale 2014a; Owen 2018; Roset‐Salla 2016; Segura‐Perez 2017; Sherwood 2015; Skouteris 2015; Tabak 2012; Vazir 2013; Verbestel 2014; Vereecken 2009; Watt 2009; Williams 2014; Wyse 2012). We rated 40 trials at low risk of performance bias, due to blinding or the use of objective outcome assessments, which were unlikely to be influenced by awareness of group allocation (e.g. weighing food on electronic scales) (Ahern 2019; Bakırcı‐Taylor 2019; Blissett 2016; Carney 2018; Caton 2013; Cooke 2011; Correia 2014; Cravener 2015; de Droog 2014; de Droog 2017; de Wild 2013; de Wild 2015a; de Wild 2015b; Duncanson 2013; Farrow 2019; Fisher 2012; Hausner 2012; Heath 2014; Keller 2012; Kim 2018; Kling 2016; Lanigan 2017; Lee 2015; Namenek Brouwer 2013; Nekitsing 2019a; Nekitsing 2019b; O'Connell 2012; Remington 2012; Remy 2013; Roe 2013; Savage 2012; Smith 2017; Spill 2010; Spill 2011a; Spill 2011b; Sullivan 1994; Wardle 2003a; Witt 2012; Zeinstra 2017; Zeinstra 2018). For the eight remaining trials the risk of performance bias was unclear (Coulthard 2014; Forestell 2007; Harnack 2012; Hong 2018a; Hunsaker 2017; Mennella 2008; Nicklas 2017; Staiano 2016).

Detection bias

We rated 29 trials at high risk of detection bias, due to participants or assessors not being blind to group allocation and the use of self‐report measures (Baskale 2011; Black 2011; Campbell 2013; Cohen 1995; Daniels 2014; De Bock 2012; De Coen 2012; de Wild 2017; Fildes 2014; Forestell 2007; Heath 2014; Hong 2018b; Hunsaker 2017; Kobel 2019; Kristiansen 2019; Martinez‐Andrade 2014; Namenek Brouwer 2013; Natale 2014a; Owen 2018; Roset‐Salla 2016; Segura‐Perez 2017; Sherwood 2015; Skouteris 2015; Spill 2010; Tabak 2012; Verbestel 2014; Vereecken 2009; Williams 2014; Wyse 2012). Blinding of assessors, or the objective measurement of child's fruit and vegetable intake, which is unlikely to be impacted by lack of blinding (e.g. the food was weighed or counted), meant that 42 trials had a low risk of detection bias (Anzman‐Frasca 2012; Bakırcı‐Taylor 2019; Blissett 2016; Carney 2018; Caton 2013; Cooke 2011; Correia 2014; Coulthard 2014; de Droog 2014; de Droog 2017; de Wild 2013; de Wild 2015a; de Wild 2015b; Duncanson 2013; Farrow 2019; Fisher 2012; Gerrish 2001; Haire‐Joshu 2008; Hausner 2012; Keller 2012; Kim 2018; Kling 2016; Lanigan 2017; Lee 2015; Mennella 2008; Nekitsing 2019a; Nekitsing 2019b; Nicklas 2017; O'Connell 2012; Remy 2013; Remington 2012; Savage 2012; Smith 2017; Spill 2011a; Spill 2011b; Sullivan 1994; Vazir 2013; Wardle 2003a; Watt 2009; Witt 2012; Zeinstra 2017; Zeinstra 2018). The remaining nine trials had an unclear risk of detection bias (Ahern 2019; Barends 2013; Cravener 2015; Fildes 2015; Harnack 2012; Hetherington 2015; Hong 2018a; Roe 2013; Staiano 2016).

Incomplete outcome data

Nine trials reported no attrition, and therefore had a low risk of bias (Anzman‐Frasca 2012; Cravener 2015; Farrow 2019; Gerrish 2001; Nicklas 2017; O'Connell 2012; Savage 2012; Spill 2010; Staiano 2016). A further 29 trials reported a low loss of participants (usually less than 10%) and similar losses across arms and we considered them also to be at low risk (Barends 2013; Carney 2018; Cooke 2011; Coulthard 2014; de Wild 2015a; Fildes 2015; Fisher 2012; Haire‐Joshu 2008; Harnack 2012; Heath 2014; Hetherington 2015; Hong 2018b; Kling 2016; Lanigan 2017; Lee 2015; Namenek Brouwer 2013; Remington 2012; Roe 2013; Segura‐Perez 2017; Sherwood 2015; Skouteris 2015; Smith 2017; Spill 2011b; Sullivan 1994; Tabak 2012; Vazir 2013; Wardle 2003a; Wyse 2012; Zeinstra 2017). Thirty‐six trials had a high risk of bias due to high attrition rates, unequal attrition across experimental arms, or an intention‐to‐treat analysis not being used (Ahern 2019; Baskale 2011; Bakırcı‐Taylor 2019; Blissett 2016; Campbell 2013; Caton 2013; Correia 2014; Daniels 2014; De Bock 2012; De Coen 2012; de Droog 2017; de Wild 2013; de Wild 2015b; Duncanson 2013; Fildes 2014; Forestell 2007; Hausner 2012; Hunsaker 2017; Keller 2012; Kim 2018; Kobel 2019; Kristiansen 2019; Martinez‐Andrade 2014; Mennella 2008; Natale 2014a; Nekitsing 2019a; Nekitsing 2019b; Owen 2018; Remy 2013; Roset‐Salla 2016; Spill 2011a; Verbestel 2014; Watt 2009; Williams 2014; Witt 2012; Zeinstra 2018). Six trials had an unclear risk of attrition bias (Black 2011; Cohen 1995; de Droog 2014; de Wild 2017; Hong 2018a; Vereecken 2009).

Selective reporting

Most trials had an unclear risk of selective reporting (Ahern 2019; Anzman‐Frasca 2012; Bakırcı‐Taylor 2019; Barends 2013; Baskale 2011; Black 2011; Blissett 2016; Carney 2018; Caton 2013; Cohen 1995; Cooke 2011; Correia 2014; Coulthard 2014; Cravener 2015; De Bock 2012; De Coen 2012; de Droog 2014; de Wild 2015a; de Wild 2015b; Farrow 2019; Fildes 2014; Fildes 2015; Fisher 2012; Forestell 2007; Gerrish 2001; Haire‐Joshu 2008; Harnack 2012; Hausner 2012; Heath 2014; Hetherington 2015; Hong 2018a; Hong 2018b; Hunsaker 2017; Keller 2012; Kim 2018; Lanigan 2017; Lee 2015; Mennella 2008; Natale 2014a; Nekitsing 2019b; O'Connell 2012; Owen 2018; Remington 2012; Roset‐Salla 2016; Savage 2012; Skouteris 2015; Smith 2017; Staiano 2016; Sullivan 1994; Tabak 2012; Vazir 2013; Verbestel 2014; Vereecken 2009; Wardle 2003a; Williams 2014; Witt 2012; Zeinstra 2017; Zeinstra 2018). We judged three trials (Campbell 2013; Kobel 2019; Segura‐Perez 2017) to be at high risk of bias due to outcomes referred to in the protocol not being reported. The remaining 19 trials reported all expected outcomes and we rated them at low risk of bias (Daniels 2014; de Droog 2017; de Wild 2013; de Wild 2017; Duncanson 2013; Kling 2016; Kristiansen 2019; Martinez‐Andrade 2014; Namenek Brouwer 2013; Nekitsing 2019a; Nicklas 2017; Remy 2013; Roe 2013; Sherwood 2015; Spill 2010; Spill 2011a; Spill 2011b; Watt 2009; Wyse 2012).

Other potential sources of bias

Of the 38 RCTs, 36 had a low risk of bias (Anzman‐Frasca 2012; Bakırcı‐Taylor 2019; Barends 2013; Blissett 2016; Caton 2013; Cohen 1995; Cravener 2015; Coulthard 2014; Daniels 2014; de Droog 2014; de Droog 2017; de Wild 2015a; de Wild 2017; Duncanson 2013; Farrow 2019; Fildes 2014; Fildes 2015; Forestell 2007; Gerrish 2001; Heath 2014; Hetherington 2015; Hong 2018a; Hunsaker 2017; Keller 2012; Mennella 2008; Owen 2018; Remy 2013; Remington 2012; Savage 2012; Segura‐Perez 2017; Sherwood 2015; Skouteris 2015; Sullivan 1994; Tabak 2012; Wardle 2003a; Watt 2009) and two had an unclear risk of bias (Black 2011; Staiano 2016).

Of the 30 C‐RCTs, 12 had a low risk of bias (Baskale 2011; Campbell 2013; Cooke 2011; Haire‐Joshu 2008; Hong 2018b; Lee 2015; Nekitsing 2019a; Smith 2017; Vazir 2013; Vereecken 2009; Wyse 2012; Zeinstra 2017), 14 had unclear risk of bias (Ahern 2019; De Bock 2012; Fisher 2012; Hausner 2012; Kobel 2019; Kristiansen 2019; Martinez‐Andrade 2014; Namenek Brouwer 2013; Natale 2014a; Nicklas 2017; Roset‐Salla 2016; Williams 2014; Witt 2012; Zeinstra 2018), and four had high risk of bias (De Coen 2012; Kim 2018; Nekitsing 2019b; Verbestel 2014). Both De Coen 2012 and Verbestel 2014 had high risk of bias due to recruitment bias, as they randomised communities first, before they invited schools, childcare centres and participants to participate. Kim 2018 and Nekitsing 2019b were assessed as high risk of bias due to baseline imbalances.

Of the 12 cross‐over trials, 11 had a low risk of bias (Carney 2018; Correia 2014; de Wild 2013; de Wild 2015b; Harnack 2012; Kling 2016; Lanigan 2017; Roe 2013; Spill 2010; Spill 2011a; Spill 2011b), and one trial had high risk of bias (O'Connell 2012), due to differences in baseline vegetable consumption that were not adjusted for in the analysis.

Effects of interventions

See: Table 1; Table 2; Table 3; Table 4

Summary of findings 1. Child‐feeding interventions compared to no intervention for children aged five years and under.

Child‐feeding interventions compared to no intervention for children aged five years and under
Patient or population: children aged five years and under
Setting: various: preschool (n = 5), school (n = 1), home + lab (n = 3), child health clinic (n = 1), home (n = 4), home + health facility (n = 2), preschool + primary school (n = 1), early intervention agency (n = 1), kindergartens (n = 1)
Intervention: child‐feeding interventions
Comparison: no intervention
Outcomes Anticipated absolute effects* (95% CI) Relative effect
(95% CI) № of participants
(trials) Quality of the evidence
(GRADE) Comments
Risk with no intervention Risk with child‐feeding interventions
Child vegetable intake
Short‐term impact (< 12 months)
The mean as‐desired vegetable intake was 7.7 gramsa The mean as‐desired vegetable intake (grams) in the intervention group was 5.30higher (3.08 higher to 7.53 higher) 2140
(19 RCTs) ⊕⊕⊝⊝
Lowb,c Scores estimated using a standardised mean difference of 0.50 (0.29 to 0.71) and a standard deviation of 10.61a
The mean duration of follow‐up post‐intervention for trials included in the meta‐analysis was 8.3 weeks.
We could not synthesise 1 study in meta‐analysis. Harnack 2012 compared ≥ 1 child‐feeding practice interventions to a no‐treatment control and reported a significant increase in intake of fruit.
Cost effectiveness
Short‐term impact (< 12 months)
Not reported
No child‐feeding interventions reported this outcome
Unintended adverse events
Short‐term impact (< 12 months)
One trial (Spill 2011a) reported no adverse effects on amount of meals consumed 39
(1 RCT) ⊕⊝⊝⊝
Very low,d,e,f
*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI)

CI: confidence interval; RCT: randomised controlled trial
GRADE Working Group grades of evidenceHigh quality: we are very confident that the true effect lies close to that of the estimate of the effect
Moderate quality: we are moderately confident in the effect estimate: the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different
Low quality: our confidence in the effect estimate is limited: the true effect may be substantially different from the estimate of the effect
Very low quality: we have very little confidence in the effect estimate: the true effect is likely to be substantially different from the estimate of effect

aWe used the post‐intervention mean and standard deviation of the control group from Wardle 2003a for the risk with no intervention and to re‐express the standardised mean difference in terms of grams of intake.
bDowngraded by one level for unexplained heterogeneity: Analysis 1.1 (main analysis): I2 = 77%; test for subgroup differences by modality: Chi2 = 0.63, df = 1 (P = 0.43), I2 = 0%, Analysis 1.5; test for subgroup differences by setting: Chi2 = 6.43, df = 3 (P = 0.09), I2 = 53.4%, Analysis 1.6; test for subgroup difference by age: Chi2 = 3.18, df = 1 (P = 0.07), I2 = 68.8%, Analysis 1.7.
cDowngraded by one level for risk of bias: fewer than half of the included trials were rated at low risk of bias for two of four criteria.
dDowngraded by one level for risk of bias: due to being assessed as high risk of bias across multiple domains.
eDowngraded by one level for imprecision: total sample size was fewer than 400 participants.
fDowngraded by one level for high probability of publication bias: no other trials reported assessing adverse events, so selective reporting suspected.

Summary of findings 2. Parent nutrition education interventions compared to no intervention for children aged five years and under.

Parent nutrition education interventions compared to no intervention for children aged five years and under
Patient or population: children aged five years and under
Setting: various: parenting group (n = 1), home (n = 4), primary care clinic (n = 1), community health centre (n = 1), preschool (n = 2), preschool + home (n = 1), clinic + home (n = 1)
Intervention: parent nutrition education interventions
Comparison: no intervention
Outcomes Anticipated absolute effects* (95% CI) Relative effect
(95% CI) № of participants
(trials) Quality of the evidence
(GRADE) Comments
Risk with no intervention Risk with parent nutrition education interventions
Child fruit and vegetable intake
Short‐term impact (< 12 months)
The mean servings of vegetables per day was 1.6a The mean servings of vegetables per day in the intervention group was 0.13 higher (0.02 lower to 0.28 higher) 3050
(11 RCTs) ⊕⊝⊝⊝
Very lowb,c,d Scores estimated using a standardised mean difference of 0.13 (−0.02 to 0.28) and a standard deviation of 1.0a
The mean duration of follow‐up post‐intervention for trials included in the meta‐analysis was 13.2 weeks.
We were unable to pool results of 4 trials that reported mixed results in the meta‐analysis. 1 trial found a mHealth nutrition intervention to be effective in increasing skin carotenoid levels compared to control (Bakırcı‐Taylor 2019). 1 trial found a parent‐responsivity and behaviour‐management intervention to be effective in increasing total fruit intake compared to control (Black 2011); 1 study found a parent health report on fruit and vegetable consumption to be effective in increasing total vegetable intake compared to control, but not fruit (Hunsaker 2017); and 1 study found both a parent‐complementary feeding intervention and a parent‐complementary feeding and home‐visit intervention to be effective in increasing both fruit and vegetable intake compared to control (Vazir 2013).
Cost effectiveness
Short‐term impact (< 12 months)
1 trial (Campbell 2013) reported information regarding intervention costs 389
(1 RCT) ⊕⊝⊝⊝
Very lowe,f,g
Unintended adverse events
Short‐term impact (< 12 months)
One trial (Wyse 2012) reported no adverse effect on family food expenditure 343
(1 RCT) ⊕⊝⊝⊝
Very lowe,f,h
*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).

CI: Confidence interval; RCT: randomised controlled trial
GRADE Working Group grades of evidenceHigh quality: we are very confident that the true effect lies close to that of the estimate of the effect
Moderate quality: we are moderately confident in the effect estimate: the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different
Low quality: our confidence in the effect estimate is limited: the true effect may be substantially different from the estimate of the effect
Very low quality: we have very little confidence in the effect estimate: the true effect is likely to be substantially different from the estimate of effect

aWe used the post‐intervention mean and standard deviation of the control group from Skouteris 2015 for the risk with no intervention and to re‐express the standardised mean difference in terms of servings of vegetables per day.
bDowngraded by one level for unexplained heterogeneity: Analysis 2.1 (main analysis): I2 = 67%; test for subgroup differences by modality: Chi2 = 2.22, df = 2 (P = 0.3), I2 = 10.0%, Analysis 2.4; test for subgroup differences by setting: Chi2 = 0.96, df = 2 (P = 0.62), I2 = 0% Analysis 2.5; test for subgroup differences by setting: Chi2 = 0.36, df = 1 (P = 0.55), I2 = 0% Analysis 2.6.
cDowngraded by one level for risk of bias: most trials were at high risk of bias for lack of blinding, and fewer than half were at low risk of bias for other methodological limitations.
dDowngraded by one level for imprecision: the confidence intervals contained the null value.
eDowngraded by one level for risk of bias: study assessed as high risk of bias for a number of domains.
fDowngraded by one level for imprecision: total sample size was fewer than 400 participants.
gDowngraded by one level for high probability of publication bias: no other trials reported cost effectiveness, so selective reporting suspected.
hDowngraded by one level for high probability of publication bias: no other trials reported assessing adverse events, so selective reporting suspected.

Summary of findings 3. Multicomponent interventions compared to no intervention for children aged five years and under.

Multicomponent interventions compared to no intervention for children aged five years and under
Patient or population: children aged five years and under
Setting: various: preschool (n = 3), school (n = 1), preschool + home (n = 2), home (n = 1), kindergartens (n = 1), home + kindergartens (n = 1)
Intervention: multicomponent interventions
Comparison: no intervention
Outcomes Anticipated absolute effects* (95% CI) Relative effect
(95% CI) № of participants
(trials) Quality of the evidence
(GRADE) Comments
Risk with no intervention Risk with multicomponent interventions
Child fruit and vegetable intake
Short‐term impact (< 12 months)
The mean cups of vegetables per day was 1.08a The mean cups of vegetables per day in the intervention group was 0.34 higher (0.09 higher to 0.58 higher) 2961
(9 RCTs) ⊕⊕⊕⊝
Moderateb Scores estimated using a standardised mean difference of 0.32 (0.09 to 0.55) and a standard deviation of 1.05a
The mean duration of follow‐up post‐intervention for trials included in the meta‐analysis was 5.4 weeks
We could not pool 5 trials in meta‐analysis. 3 reported significant increases in both fruit and vegetable consumption, 1 reported a significant increase in fruit but not vegetable consumption, and 1 reported a significant increase in fruit consumption in the intervention but not control group, with no between‐group comparisons reported.
Cost effectiveness
Short‐term impact (< 12 months)
Not reported
No trials reported this outcome
Unintended adverse events
Short‐term impact (< 12 months)
Not reported
No trials reported this outcome
*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).

CI: Confidence interval
GRADE Working Group grades of evidenceHigh quality: we are very confident that the true effect lies close to that of the estimate of the effect
Moderate quality: we are moderately confident in the effect estimate: the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different
Low quality: our confidence in the effect estimate is limited: the true effect may be substantially different from the estimate of the effect
Very low quality: we have very little confidence in the effect estimate: the true effect is likely to be substantially different from the estimate of effect

aWe used the post‐intervention mean and standard deviation of the control group from Williams 2014 for the risk with no intervention and to re‐express the standardised mean difference in terms of cups of vegetables per day.
bDowngraded by one level for risk of bias: fewer than half of the included trials were rated at low risk of bias for two of four criteria.

Summary of findings 4. Child nutrition education interventions compared to no intervention for children aged five years and under.

Child nutrition education interventions compared to no intervention for children aged five years and under
Patient or population: children aged five years and under
Setting: preschool (n = 2)
Intervention: child nutrition education interventions
Comparison: no intervention
Outcomes Anticipated absolute effects* (95% CI) Relative effect
(95% CI) № of participants
(trials) Quality of the evidence
(GRADE) Comments
Risk with no intervention Risk with child nutrition education interventions
Child fruit and vegetable intake
Short‐term impact (< 12 months)
292
(2 RCTs) ⊕⊕⊝⊝
Lowa,b We could not synthesise these 2 trials in meta‐analysis.
One study (Baskale 2011), reported an increase in some of the fruits and vegetables assessed in the intervention group and no significant differences in the control group. The other study reported a positive effect on vegetable intake (Nekitsing 2019b).
The mean duration of follow‐up post‐intervention was 16 weeks.
Cost or cost effectiveness
Not reported
No trials reported this outcome
Unintended adverse events
Not reported
No trials reported this outcome
*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).

CI: Confidence interval; RCT: randomised controlled trial
GRADE Working Group grades of evidenceHigh quality: we are very confident that the true effect lies close to that of the estimate of the effect
Moderate quality: we are moderately confident in the effect estimate: the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different
Low quality: our confidence in the effect estimate is limited: the true effect may be substantially different from the estimate of the effect
Very low quality: we have very little confidence in the effect estimate: the true effect is likely to be substantially different from the estimate of effect

aDowngraded by one level for risk of bias: high risk of bias due to lack of blinding and loss to follow‐up.
bDowngraded by one level for imprecision: total sample size fewer than 400 participants.

Primary outcome. Effectiveness of interventions in increasing the consumption of fruit or vegetables, or both

All the included trials reported the impact of the effectiveness of the intervention on a measure of children's fruit or vegetable intake. Variability in the measurement and reporting of intervention effects as change from baseline or final value scores precluded statistical examination of heterogeneity. Nonetheless, examination of the interventions tested, trial settings and trial populations suggested that the included trials were heterogeneous and we conducted meta‐analyses pooling data from trials where we considered interventions to be similar. Otherwise, we have provided a narrative synthesis of trial findings.

Child‐feeding practice interventions
Short‐term impact (less than 12 months)

The effects of interventions targeting child‐feeding practices were mixed. Meta‐analysis pooling post‐intervention data (follow‐up period range: immediate to nine months) from trials comparing child‐feeding practices to no intervention (Cohen 1995; Cooke 2011; Cravener 2015; Daniels 2014; Farrow 2019; Fildes 2014; Fildes 2015; Hetherington 2015; Keller 2012; Kim 2018; Lee 2015; Nekitsing 2019b; O'Connell 2012; Owen 2018; Remington 2012; Staiano 2016; Wardle 2003a; Zeinstra 2017; Zeinstra 2018) revealed an overall small positive effect on vegetable consumption (SMD 0.50, 95% CI 0.29 to 0.71; I2 = 77%; 19 trials, 2140 participants; low‐quality evidence; Analysis 1.1), which was equivalent to an increase of 5.30 grams (g) as‐desired consumption of vegetables. Results were similar in sensitivity analyses of trials at low or unclear risk of bias (SMD 0.54, 95% CI 0.18 to 0.90; I2 = 77%; 8 trials, 701 participants; Analysis 1.2), of trials with a primary outcome of child fruit or vegetable consumption (SMD 0.61, 95% CI 0.35 to 0.88; I2 = 80%; 14 trials, 1697 participants; Analysis 1.3), and of trials with no or low attrition and trials with high attrition that undertook intention‐to‐treat analyses (SMD 0.49, 95% CI 0.22 to 0.77; I2 = 71%; 11 trials, 971 participants; Analysis 1.4). One trial that compared one or more child‐feeding practice interventions to a no‐intervention control did not report sufficient data to enable pooling. Harnack 2012 reported a significant increase in intake of fruit compared to a control group for an intervention where fruit and vegetables were served prior to a meal.

1.1. Analysis.

1.1

Comparison 1: Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention, Outcome 1: Vegetable intake

1.2. Analysis.

1.2

Comparison 1: Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention, Outcome 2: Vegetable intake ‐ sensitivity analysis ‐ risk of bias

1.3. Analysis.

1.3

Comparison 1: Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention, Outcome 3: Vegetable intake ‐ sensitivity analysis ‐ primary outcome

1.4. Analysis.

1.4

Comparison 1: Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention, Outcome 4: Vegetable intake ‐ sensitivity analysis ‐ missing data

Thirty trials compared the effectiveness of two or more child‐feeding interventions but we could not synthesise them in meta‐analyses due to variability in the compared interventions (Ahern 2019; Anzman‐Frasca 2012; Barends 2013; Blissett 2016; Carney 2018; Caton 2013; Correia 2014; Coulthard 2014; de Droog 2014; de Droog 2017; de Wild 2013; de Wild 2015a; de Wild 2015b; de Wild 2017; Fisher 2012; Forestell 2007; Gerrish 2001; Hausner 2012; Heath 2014; Kling 2016; Lanigan 2017; Mennella 2008; Nekitsing 2019a; Remy 2013; Roe 2013; Savage 2012; Spill 2010; Spill 2011a; Spill 2011b; Sullivan 1994). The interventions compared in these trials varied greatly; 12 of the 30 trials reported evidence of an increase in fruit or vegetable consumption for one intervention compared to another (de Droog 2014; de Droog 2017; de Wild 2013; Forestell 2007; Gerrish 2001; Heath 2014; Lanigan 2017; Nekitsing 2019a; Roe 2013; Spill 2010; Spill 2011a; Spill 2011b).

Long‐term impact (12 months or longer)

Two trials tested the long‐term effect of a child‐feeding practice intervention. One trial reported no long‐term effect on either fruit or vegetable intake as measured by 24‐hour recall 3½ years after a complementary feeding intervention compared to usual care (Daniels 2014). The other trial (Cohen 1995), which compared exclusive breastfeeding, complementary feeding with breastfeeding, and complementary feeding with breastfeeding on demand reported no difference between groups at 12 months' follow‐up compared to the positive effect that was reported at nine months' follow‐up.

Parent nutrition education interventions
Short‐term impact (less than 12 months)

Interventions targeting parent nutrition education were generally not effective. Meta‐analysis pooling post‐intervention data (follow‐up period range: immediate to six months) from trials comparing parent nutrition education interventions to no intervention (Campbell 2013; Duncanson 2013; Haire‐Joshu 2008; Martinez‐Andrade 2014; Roset‐Salla 2016; Sherwood 2015; Skouteris 2015; Tabak 2012; Verbestel 2014; Watt 2009; Wyse 2012) revealed no overall effect on child consumption of fruit and vegetables (SMD 0.13, 95% CI −0.02 to 0.28; I2 = 67%; 11 trials, 3050 participants; very low‐quality evidence; Analysis 2.1). Results were similar in sensitivity analyses of trials with a primary outcome of children's fruit or vegetable consumption (SMD 0.05, 95% CI −0.07 to 0.16; I2 = 39%; 8 trials, 2764 participants; Analysis 2.2), and of trials with no or low attrition and trials with high attrition that undertook intention‐to‐treat analyses (SMD 0.12, 95% CI −0.00 to 0.24; I2 = 40%; 7 trials, 2518 participants; Analysis 2.3). We did not conduct sensitivity analyses by risk of bias, as we judged all trials to be at high risk of bias in at least one domain.

2.1. Analysis.

2.1

Comparison 2: Short‐term impact (< 12 months) of parent nutrition education intervention versus no intervention, Outcome 1: Fruit and vegetable intake

2.2. Analysis.

2.2

Comparison 2: Short‐term impact (< 12 months) of parent nutrition education intervention versus no intervention, Outcome 2: Fruit and vegetable intake ‐ sensitivity analysis ‐ primary outcome

2.3. Analysis.

2.3

Comparison 2: Short‐term impact (< 12 months) of parent nutrition education intervention versus no intervention, Outcome 3: Fruit and vegetable intake ‐ sensitivity analysis ‐ missing data

We were unable to pool four trials in the meta‐analysis, which all reported positive intervention effects. Bakırcı‐Taylor 2019 reported a positive effect of a mHealth nutrition intervention on child skin carotenoid levels compared to control. Black 2011 found an intervention targeting parent responsivity and behaviour management to be effective in increasing total fruit intake compared to control. Hunsaker 2017 found a parent health report on fruit and vegetable consumption to be effective in increasing total vegetable intake (but not fruit intake) compared to control. Vazir 2013 reported both the parent complementary‐feeding intervention and a parent complementary‐feeding and home‐visit intervention to be effective in increasing both fruit and vegetable intake compared to control.

Long‐term impact (12 months or longer)

Four trials reported the long‐term impact of a parent nutrition education intervention (Duncanson 2013; Skouteris 2015; Watt 2009; Wyse 2012). Of these, only one trial reported a significant long‐term effect on children's fruit and vegetable consumption (Watt 2009). This trial, which examined the impact of a parent intervention targeting infant‐feeding practice found a short‐term effect at nine months and long‐term effect at 15‐month follow‐up on fruit and vegetable consumption compared to usual care (Watt 2009). Two other trials reporting long‐term impacts of parent interventions either reported a short‐term effect that was not sustained at long‐term follow‐up (Skouteris 2015), or no effect at either short‐ or long‐term follow‐up on children's fruit or vegetable consumption (Duncanson 2013). One other trial, reported a short‐term effect on child fruit and vegetable intake that was sustained at 12‐month but not 18‐month follow‐up, and reported positive effects on additional measures of child fruit and vegetable intake at 18 months that were not reported for short‐term or 12‐ month follow up (Wyse 2012).

Multicomponent interventions
Short‐term impact (less than 12 months)

The effects of multicomponent interventions were mixed. Meta‐analysis pooling post‐intervention data (follow‐up period range: immediate to three months) from multicomponent intervention trials (De Coen 2012; Hong 2018b; Kobel 2019; Kristiansen 2019; Namenek Brouwer 2013; Nekitsing 2019b; Nicklas 2017; Smith 2017; Williams 2014) revealed an overall small positive effect on child consumption of fruit and vegetables (SMD 0.32, 95% CI 0.09 to 0.55; I2 = 78%; 9 trials, 2961 participants; moderate‐quality evidence; Analysis 3.1). This was equivalent to an increase of 0.34 cups of fruit and vegetables a day. Results were similar in sensitivity analyses of trials with a primary outcome of children's fruit or vegetable consumption (SMD 0.37, 95% CI 0.10 to 0.64; I2 = 81%; 8 trials, 2267 participants; Analysis 3.2) and trials with no or low attrition or high attrition that undertook intention‐to‐treat analyses (SMD 0.66, 95% CI 0.40 to 0.91; I2 = 0%; 4 trials, 455 participants; Analysis 3.3). We did not conduct a sensitivity analysis to examine the impact of high risk of bias, as all but one trial had a high risk of bias in at least one domain.

3.1. Analysis.

3.1

Comparison 3: Short‐term impact (< 12 months) of multicomponent intervention versus no intervention, Outcome 1: Fruit and vegetable intake

3.2. Analysis.

3.2

Comparison 3: Short‐term impact (< 12 months) of multicomponent intervention versus no intervention, Outcome 2: Fruit and vegetable intake ‐ sensitivity analysis ‐ primary outcome

3.3. Analysis.

3.3

Comparison 3: Short‐term impact (< 12 months) of multicomponent intervention versus no intervention, Outcome 3: Fruit and vegetable intake ‐ sensitivity analysis ‐ missing data

We were unable to pool five trials in meta‐analysis, due to insufficient data (De Bock 2012; Natale 2014a; Segura‐Perez 2017; Vereecken 2009; Witt 2012). Three trials (De Bock 2012; Natale 2014a; Witt 2012) reported significant effects of the interventions tested on both fruit and vegetable consumption, and one trial reported significant effects of the intervention on fruit but not vegetable consumption (Vereecken 2009). A fifth trial reported a significant increase in fruit consumption in the intervention but not control group, with no between‐group comparisons reported (Segura‐Perez 2017).

One of the trials (Smith 2017) that was pooled in the multicomponent intervention meta‐analysis additionally compared an intervention of provision of fruit and vegetables to a no‐intervention control group. The trial reported a significant effect of the intervention on vegetable consumption.

Long‐term impact (12 months or longer)

No trials testing the multicomponent interventions reported long‐term impact.

Child nutrition education interventions
Short‐term impact (less than 12 months)

We were unable to pool the two trials that tested child nutrition interventions in meta‐analysis (low‐quality evidence). One trial that tested the effect of a nutrition education intervention targeting children reported an increase in some of the fruits and vegetables assessed in the intervention group and no significant differences in the control group, but did not report analyses comparing treatment groups (Baskale 2011). The other trial reported a positive effect of a child nutrition education intervention compared to control on vegetable intake (Nekitsing 2019b).

Long‐term impact (12 months or longer)

Neither trial that tested the effect of a nutrition education intervention reported long‐term impact.

Other child‐focused interventions

One trial reported a positive effect of a mindfulness intervention delivered to children to increase child eating enjoyment and diverse eating behaviours on vegetable intake compared to control (Hong 2018a).

Long‐term impact (12 months or longer)

The only other child‐focused trial did not report long‐term impact.

Subgroup analyses

Interventions targeting boys and girls

All the included trials in this review covered both boys and girls. None of the included trials reported the impact of intervention on gender subgroups, so subgroup analyses on this basis was not possible.

Interventions targeting minority groups and indigenous populations

Subgroup analysis of trials that targeted minority groups and indigenous populations was not possible, due to the limited number of included trials for each comparison; we therefore present them narratively. Nine of the 80 included trials examined the impact of interventions on predominantly disadvantaged populations (Black 2011; Cohen 1995; Cooke 2011; de Droog 2017; Haire‐Joshu 2008; Natale 2014a; Nicklas 2017; Smith 2017; Watt 2009). Three trials of child‐feeding interventions recruited predominantly disadvantaged populations (Cohen 1995; Cooke 2011; de Droog 2017). One trial recruited participants from low‐income neighbourhoods (Cohen 1995) and found that a complementary feeding with breastfeeding‐on‐demand intervention increased the consumption of vegetables compared to exclusive breastfeeding at short‐term follow‐up (nine months), but found no effect at long‐term follow‐up (12 months). One trial recruited participants through schools, where the proportion of children who had English as a second language, came from minority ethnic backgrounds or were eligible for free school meals was above average (Cooke 2011). This trial demonstrated that repeated food exposure coupled with reward significantly increased the consumption of a target vegetable. The third trial recruited participants predominantly from low socioeconomic status households (de Droog 2017). The trial found an interactive‐reading intervention significantly increased the consumption of a target vegetable.

Three trials of parent interventions recruited participants from disadvantaged communities including underserved families, single or minority parent homes, those living in poverty or low‐income families (Black 2011; Haire‐Joshu 2008; Watt 2009). Two trials found no improvement in overall child fruit or vegetable intake based on the primary trial outcome measures (Haire‐Joshu 2008; Watt 2009); the other trial found the intervention targeting parent responsivity and behaviour management to be effective in increasing total fruit intake (Black 2011).

Three trials of multicomponent interventions recruited participants from subsidised childcare centres (Natale 2014a; Nicklas 2017; Smith 2017). One trial found an intervention targeting teachers, parents and childcare policies to increase both fruit and vegetable consumption (Natale 2014a), one trial found a theatre performance intervention involving both parents and teachers increased vegetable consumption (Nicklas 2017), and the other trial found both a fruit and vegetable provision intervention and an intervention involving parent and child nutrition education plus fruit and vegetable provision increased fruit and vegetable consumption (as assessed by skin carotenoid levels) compared to a no‐intervention control (Smith 2017).

Interventions delivered in various settings

Subgroup analyses of child‐feeding practice interventions by setting comparing school or preschool, home, home and laboratory, and other settings (one each in child health clinics, and home or health facilities) suggested no differences in effect by setting (test for subgroup differences: Chi2 = 6.43, df = 3 (P = 0.09), I2 = 53.4%; Analysis 1.6).

1.6. Analysis.

1.6

Comparison 1: Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention, Outcome 6: Vegetable intake ‐ subgroup analysis ‐ setting

Subgroup analyses of parent nutrition education interventions by setting comparing home, preschool and other settings (one each in parenting groups, primary care clinics or community health centres) suggested no difference between group (test for subgroup differences: Chi2 = 0.96, df = 2 (P = 0.62), I2 = 0%; Analysis 2.5), which suggested no difference in effect by setting.

2.5. Analysis.

2.5

Comparison 2: Short‐term impact (< 12 months) of parent nutrition education intervention versus no intervention, Outcome 5: Fruit and vegetable intake ‐ subgroup analysis ‐ setting

Subgroup analyses of multicomponent interventions comparing school or preschool, preschool and home, and other settings (one each in home setting, or home and kindergarten) suggested there was a differential intervention effect by setting (test for subgroup differences: Chi2 = 7.84, df = 2 (P = 0.02), I2 = 74.5%; Analysis 3.5). Examination within the subgroups revealed an overall positive effect for those interventions delivered in preschool and home settings (SMD 0.69, 95% CI 0.41 to 0.97; 2 trials, 401 participants), but no effect for interventions delivered in school or preschool settings (SMD 0.21, 95% CI −0.07 to 0.49; 5 trials, 2221 participants).

3.5. Analysis.

3.5

Comparison 3: Short‐term impact (< 12 months) of multicomponent intervention versus no intervention, Outcome 5: Fruit and vegetable intake ‐ subgroup analysis ‐ setting

The two child nutrition education interventions (Baskale 2011; Nekitsing 2019b), and the only other child‐focused intervention (Hong 2018a) were implemented in the preschool setting and reported mixed results. Other trials that we could not synthesise in meta‐analyses, incorporating various intervention settings, reported mixed findings.

Interventions of varying intensities

We did not conduct subgroup analyses of trials based on interventions of varying intensities, due to the limited information across included trials about the number and duration of intervention contacts or components.

Interventions delivered in different modalities

Fifty‐seven of the 80 trials used face‐to‐face intervention delivery only (Ahern 2019; Anzman‐Frasca 2012; Barends 2013; Baskale 2011; Black 2011; Blissett 2016; Carney 2018; Caton 2013; Cohen 1995; Cooke 2011; Correia 2014; Coulthard 2014; Cravener 2015; Daniels 2014; De Bock 2012; de Droog 2014; de Droog 2017; de Wild 2013; de Wild 2015a; de Wild 2015b; de Wild 2017; Fildes 2014; Fisher 2012; Forestell 2007; Gerrish 2001; Harnack 2012; Hausner 2012; Heath 2014; Hetherington 2015; Hong 2018a; Keller 2012; Kim 2018; Kling 2016; Lanigan 2017; Lee 2015; Martinez‐Andrade 2014; Mennella 2008; Namenek Brouwer 2013; Nekitsing 2019a; Nekitsing 2019b; O'Connell 2012; Remington 2012; Remy 2013; Roe 2013; Roset‐Salla 2016; Savage 2012; Skouteris 2015; Spill 2010; Spill 2011a; Spill 2011b; Sullivan 1994; Vazir 2013; Verbestel 2014; Wardle 2003a; Watt 2009; Witt 2012; Zeinstra 2018), reporting mixed findings.

Subgroup analysis of child‐feeding practice interventions versus control by modality comparing face‐to‐face and other modalities (including face‐to‐face combined with various other modalities, audiovisual only, telephone and mail) suggested no difference in intervention effect by modality (test for subgroup differences: Chi2 = 0.63, df = 1 (P = 0.43), I2 = 0%; Analysis 1.5).

1.5. Analysis.

1.5

Comparison 1: Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention, Outcome 5: Vegetable intake ‐ subgroup analysis ‐ modality

Subgroup analysis of parent nutrition education interventions versus control by modality comparing face‐to‐face only, audiovisual only, and other modalities (including face‐to‐face combined with various other modalities, DVD and CD) suggested no differences in intervention effect by modality (test for subgroup differences: Chi2= 2.22, df = 2 (P = 0.33), I2 = 10.0%; Analysis 2.4).

2.4. Analysis.

2.4

Comparison 2: Short‐term impact (< 12 months) of parent nutrition education intervention versus no intervention, Outcome 4: Fruit and vegetable intake ‐ subgroup analysis ‐ modality

Subgroup analysis of multicomponent interventions versus control by modality comparing face‐to‐face only, face‐to‐face and written materials, and other modalities (including face‐to‐face combined with various other modalities) suggested there was a differential intervention effect by setting (test for subgroup differences: Chi2 = 7.20, df = 2 (P = 0.03), I2 = 72.2%, Analysis 3.4). Examination within subgroups revealed an overall positive intervention effect on fruit and vegetable intake of face‐to‐face only interventions (SMD 1.06, 95% CI 0.13 to 1.99; 2 trials, 67 participants), whereas there was no overall intervention effect for interventions that combined face‐to‐face delivery with written materials or other modalities (Analysis 3.4).

3.4. Analysis.

3.4

Comparison 3: Short‐term impact (< 12 months) of multicomponent intervention versus no intervention, Outcome 4: Fruit and vegetable intake ‐ subgroup analysis ‐ modality

Face‐to‐face intervention delivery alone was used in the two child nutrition education interventions (Baskale 2011; Nekitsing 2019b), and the only other child‐focused intervention (Hong 2018a), for which mixed results were reported. Other trials that we could not synthesise in meta‐analyses, incorporating other intervention modalities, reported mixed findings.

Interventions targeting children by age

Subgroup analyses of child‐feeding practice interventions comparing those targeting children less than 12 months of age and children aged 12 months or older suggested no differences in effect by age group targeted (test for subgroup differences: Chi2 = 3.18, df = 1 (P = 0.07), I2 = 68.6%; Analysis 1.7).

1.7. Analysis.

1.7

Comparison 1: Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention, Outcome 7: Vegetable intake ‐ subgroup analysis ‐ age

Subgroup analysis of parent nutrition education interventions comparing those targeting children less than 12 months of age and children aged 12 months or older, suggested no differences in intervention effect by age group targeted (test for subgroup differences: Chi2 = 0.36, df = 1 (P = 0.55), I2 = 0%; Analysis 2.6).

2.6. Analysis.

2.6

Comparison 2: Short‐term impact (< 12 months) of parent nutrition education intervention versus no intervention, Outcome 6: Fruit and vegetable intake ‐ subgroup analysis ‐ age

We did not conduct subgroup analyses of multicomponent trials based on age group targeted, as all included trials targeted children aged 12 months or older.

Secondary outcome 1. Cost or cost effectiveness of interventions to increase the consumption of fruit or vegetables or both

Information about intervention costs was reported in one trial (Campbell 2013; very low‐quality evidence). The parent nutrition education trial reported the total estimated cost of delivering a parent intervention for infant feeding, physical activity and sedentary behaviours delivered by a dietitian as approximately AUD 500 per family.

Secondary outcome 2. Adverse effects of interventions to increase the consumption of fruit or vegetables or both

Two trials reported information on any adverse events or unintended adverse consequences of the intervention. One child‐feeding practice intervention trial reported no adverse effects on the amount of the meal consumed following implementation of an intervention involving incorporation of vegetable puree into meals at three different levels of energy density (Spill 2011a; very low‐quality evidence). The other trial, on parent nutrition education, reported no adverse effect on family food expenditure following implementation of a multicomponent intervention delivered over the telephone to improve parental knowledge and skills about the home food environment (Wyse 2012; very low‐quality evidence).

Discussion

Summary of main results

In line with the importance of encouraging fruit and vegetable consumption among children in early childhood, this updated review has identified a number of new RCTs of interventions investigating this health behaviour. Overall, the findings suggest that child‐feeding practice and multicomponent interventions are effective in increasing fruit and vegetable consumption by children aged five and younger. Of the included trials, most examined specific child‐feeding practices, with meta‐analysis of 19 of the 50 trials suggesting these interventions were effective in increasing fruit and vegetable consumption in the short term. The second and third most common interventions were parent nutrition education and multicomponent interventions, for which we found evidence of effect in the short term in meta‐analyses for multicomponent interventions but not for parent nutrition interventions. Only two trials assessed the effect of a child nutrition education intervention and one trial assessed the effect of a child‐focused mindfulness intervention. Subgroup analyses on the basis of setting, modality and targeted age group suggested no differential effectiveness for child‐feeding practices and parent nutrition education interventions, whereas subgroup analyses of multicomponent interventions revealed a differential effect by both setting and modality. Insufficient evidence was available to determine the long‐term effectiveness of all approaches, or the cost effectiveness or any adverse consequences of the interventions tested.

Overall completeness and applicability of evidence

The review update identified a number of newly‐published RCTs, in line with efforts globally to increase fruit and vegetable intake (World Health Organization 2003). Such trials predominantly focused on fruit and vegetable consumption determinants such as nutrition knowledge and skills, and food environments. Only one of the included trials in this review reported cost analyses and only two reported any unintended adverse effects. These factors are important considerations for health practitioners and policy makers, but are often not reported in randomised trials (Waters 2011), or examined in systematic reviews (Hopewell 2008; Wolfenden 2010b).

Furthermore, the limited number of relevant trials identified for inclusion also prevented thorough examination of the impact of the interventions by gender, indigenous or disadvantaged populations, setting, varying intensity and modality. We found a number of trial protocols (see Characteristics of ongoing studies) that may address some of these gaps in the literature, and are likely to be eligible for inclusion in future updates of the review, including a RCT of an eight‐lesson in‐home intervention in economically and educationally disadvantaged parents of children aged one to three years (Horodynski 2011).

The external validity of the review findings is limited. Most of the trials were conducted in the USA, Western Europe or the UK. Trial attrition varied between trials, ranging from 0% to 68%.

Quality of the evidence

We used the GRADE approach to assess the quality of the evidence for the primary outcome of fruit and vegetable intake, which we conducted separately for each intervention type. See Table 1; Table 2; Table 3; Table 4. The quality of the evidence for fruit and vegetable intake across intervention types varied from very low to moderate.

We rated the quality of evidence for specific child‐feeding interventions as low, downgraded for unexplained heterogeneity and methodological limitations (Table 1; Figure 4). Methodological limitations for child‐feeding interventions related to allocation concealment and selective reporting being at unclear or high risk for most of the trials. The true effect of child‐feeding interventions may be substantially different from our reported effect estimate.

4.

4

Funnel plot of comparison 1. Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention on child consumption of target fruit or vegetable, outcome 1.1, fruit and/or vegetable intake

We assessed the quality of evidence for parent nutrition education interventions as very low, downgraded for unexplained heterogeneity, methodological limitations and imprecision (Table 2; Figure 5). The methodological limitations related to most of the trials being at high risk of bias for lack of blinding, and at unclear or high risk for allocation concealment, loss to follow‐up, and selective reporting. Imprecision related to the confidence intervals crossing the null value of zero. The true effect is likely to be substantially different from the intervention effects reported in the review.

5.

5

Funnel plot of comparison 3. Short‐term impact (< 12 months) of parent nutrition education intervention versus usual care, outcome 3.1, fruit and/or vegetable intake

We rated the quality of evidence for multicomponent interventions as moderate, downgraded for methodological limitations only (Table 3; Figure 6). The methodological limitations related to most of the trials being at high risk of bias for lack of blinding, and at unclear or high risk for allocation concealment, loss to follow‐up, and selective reporting. Such assessment suggests that the true effect is likely to be close to the intervention effects reported in the review.

6.

6

Funnel plot of comparison 4. Short‐term impact (< 12 months) of multicomponent intervention versus usual care, outcome 4.1, fruit and/or vegetable intake

We rated the quality of the evidence for child nutrition interventions as low, downgraded for methodological limitations and imprecision (Table 4). The methodological limitations related to a high risk of bias due to lack of blinding and loss to follow‐up, and imprecision related to a sample size of fewer than 400 participants.

Potential biases in the review process

The review used a comprehensive and rigorous methodology, including a broad search strategy, the screening of trials and extraction of data by two independent review authors, and the appraisal of risks of bias within the included trials. Furthermore, the review did not restrict publications by language. Five aspects of selection bias, however, are worth noting. First, we excluded trials where fruit and vegetable intake was not considered to be a primary trial outcome, to avoid any potential confounding effects of other behavioural interventions (such as physical activity). This restriction may lead to overestimates of intervention effects if in practice they are delivered in the context of other health initiatives. Second, the inclusion of trials that did not explicitly state a primary outcome but did assess fruit or vegetable intake in the review may have biased the results. However sensitivity analyses excluding trials that did not state fruit and vegetable intake as a primary outcome suggested this was limited, as results were similar. Third, trials that were conducted predominantly in disadvantaged populations were included within the overall synthesis. It is possible that effects of the interventions tested may differ between disadvantaged and general populations, which may limit the generalisability of the review findings. Fourth, the mean age of participants of included trials for some intervention types, such as child‐feeding practice interventions, was broad (ranging from four months to five years). Whilst the WHO recommends that solid foods are introduced from six months of age (World Health Organization 2003), the effects of child‐feeding interventions in particular may differ by child age and we will consider subgroup analysis to explore this potential differential impact in future review updates. Finally, the review was restricted to RCTs and cross‐over trials, with trials included in the review tending to focus on interventions targeting fruit and vegetable consumption determinants, such as nutrition knowledge and skills, or the food environment of settings. Other trials targeting fruit and vegetable intake that may be less amenable to evaluation using randomised controlled designs, such as those requiring macro‐environmental changes, may have been overlooked.

Agreements and disagreements with other studies or reviews

The equivocal findings of the infant‐feeding interventions, such as repeated food exposure, are similar in part to previous reviews. An early systematic review of healthy eating interventions for children aged under five years (Tedstone 1998), published by the Health Education Authority, concluded that repeated food exposure is effective in enhancing children's willingness to consume novel foods provided tasting was included as a part of the exposure. Enhanced food acceptance following repeated food exposure has also been reported in other reviews and controlled trials (Contento 1995). As Cooke 2011 points out in the Background review of research for their randomised trial, evidence about the use of rewards to encourage children's consumption of targeted foods appears more equivocal. The positive impact of both social and non‐tangible rewards reported in Cooke 2011, were however consistent with previous trials in community settings using tangible non‐food rewards and social rewards targeting the fruit or vegetable intake of school‐aged children (Hendy 1999). The large number of trials comparing alternative and heterogenous child‐feeding practice interventions are difficult to interpret, given that they did not include a no‐intervention control group, and few reported one intervention to be more effective than another.

The largely null findings of this review for the impact of parent interventions are consistent with those reported in previous reviews of dietary interventions. For example, a comprehensive review of the impact of home‐visiting programmes delivered to parents concluded that there was little evidence to recommend such interventions as means of improving children's diet, given the mixed findings of the reviewed trials (Elkan 2000). Among the trials with a positive intervention effect included in the Elkan 2000 review was a pre‐post trial of an intensive intervention provided to low‐income mothers of children aged one to four years (James 1992). In this trial, dietician‐trained general practitioners and health visitors provided advice and support as part of a primary‐care home‐visiting intervention lasting up to 20 weeks. Post‐intervention improvements in diet were reported, including the consumption of fruits and vegetables. Similarly, a systematic review that examined the effectiveness of parental interventions on the diets of children aged two to five found mixed results for children’s diets or feeding practices or both (Peters 2012).

The positive findings for multicomponent interventions are consistent with some previous reviews of interventions. For example, a systematic review of interventions to improve diet, physical activity or to prevent weight gain for children of five years or under, and which included both randomised and non‐randomised designs, identified nine trials of interventions implemented in preschool or childcare settings (Hesketh 2010). Three trials included some assessment of dietary outcome. In the first, Head Start preschools were assigned to either a menu intervention to reduce the fat content of meals provided to children in care; the same menu intervention plus nutrition education; or a third usual‐care control condition (Williams 2004). Both intervention arms of the trial reduced the fat content of foods served to children compared with the preschools in the control condition. The remaining two trials assessed the impact of a healthy eating and physical activity obesity‐prevention programme ‘Hip‐Hop to Health Jr’, implemented in two different populations attending Head Start preschools (Fitzgibbon 2005; Fitzgibbon 2006). In Fitzgibbon 2005, intervention children reported less saturated fat intake at the one‐year follow‐up, but not total fat or dietary fibre. No improvements in dietary intake were reported in the second trial (Fitzgibbon 2006). Similarly, systematic reviews of school‐based fruit and vegetable interventions have frequently concluded that multicomponent initiatives are the most effective in increasing fruit and vegetable consumption in older children, but such effects are only modest and reported to be driven largely by increased fruit intake (Burchett 2003; Ciliska 2000; French 2003; Knai 2006). A systematic review of European school‐based interventions also concluded that multicomponent interventions are effective for improving children’s fruit and vegetable intakes (Van Cauwenberghe 2010).

In contrast to the findings of this review, a number of other reviews have found multicomponent interventions not to be effective. A recent meta‐analysis showed no significant differences between multicomponent interventions that promoted fruit and vegetable consumption and control conditions in a primary school setting (Delgado‐Noguera 2011). Another systematic review that focused on the fruit and vegetable intake of children aged five to 12 found that school‐based interventions had only a minimal effect on vegetable consumption, whereas they found a moderate impact on children’s fruit intake (Evans 2012). A recent systematic review that examined interventions aimed at increasing children’s (aged two to 12 years) vegetable intake in home and community settings found that only a minority of interventions that targeted children’s vegetable intake alone were effective in the short term (Hendrie 2017). In contrast, when vegetable intake was addressed as part of a healthy diet or lifestyle intervention, most interventions showed short‐term effectiveness (Hendrie 2017). The comparison of the findings of this review to each of these previous reviews of multicomponent interventions is limited by their inclusion of older children, which may explain the contrasting findings.

Authors' conclusions

Implications for practice.

We found little evidence of effect for interventions to increase the fruit and vegetable consumption of children aged five years and under, to provide direction for health policy‐makers and practitioners. The effect of parent nutrition education is uncertain. Low‐quality evidence for specific child‐feeding interventions (such as repeated exposure and rewards) suggests such interventions may be effective, but such findings should be interpreted with caution, given that no data were reported for important outcomes such as costs and unintended consequences of such interventions. We found moderate‐quality evidence for multicomponent interventions, suggesting that such interventions are probably effective, and therefore could be considered a priority approach for implementation by practitioners and policy‐makers. The multicomponent interventions that reported positive effects on fruit and vegetable consumption were largely those that focused exclusively on fruit and vegetable consumption (rather than nutrition generally), involved parents in some component of the intervention and included nutrition education. However, similar to child‐feeding interventions no data were reported for important outcomes such as costs and unintended consequences for multicomponent interventions, which are important factors when considering implementation. Additionally, the effect sizes for both child‐feeding and multicomponent interventions were small (equivalent to an increase in as‐desired vegetable intake of 5.30 g and 0.34 cups of fruit and vegetables consumed a day respectively), which may limit the potential public health benefits of implementing these types of interventions.

Implications for research.

Despite the large number of trials, the lack of high‐quality research in this area demonstrates the continuing considerable scope for policy‐makers, researchers and practitioners to develop and evaluate the impact of a variety of initiatives to improve fruit and vegetable intake in children aged five years and under. Behavioural interventions delivered by health professionals, telephone‐ or computer‐based programmes, interventions delivered through preschools, play‐groups, sports clubs, or co‐operatives, and those that address access issues through subsidies or other incentives all have merit, and rigorous evaluation of such interventions for children aged five years. Importantly, testing the effectiveness of these interventions under more pragmatic conditions may provide evidence of their potential real‐world impact, particularly when implemented at scale (McCrabb 2019; Wolfenden 2020). Additionally, trials should seek to test interventions that are based on logic models of change, appropriate theoretical frameworks and evidence, and build on existing knowledge to optimise the potential impact (Wolfenden 2019b). As the aetiology of child diet is complex, interventions that target multiple determinants across a number of settings may be most likely to be effective. Additionally, future trials should rigorously assess and report the cost effectiveness and adverse effects of any tested intervention approaches to ensure that essential evidence is generated for, and accessible to, clinicians and policy‐makers to aid decision‐making about selection of interventions focused on child fruit and vegetable consumption that are most likely to be of benefit.

This review identified a number of opportunities for future or continued intervention research targeting the fruit and vegetable consumption of children aged five years and under, including:

  1. the exploration and development of intervention strategies that can achieve larger effect sizes;

  2. the investigation of potential adverse effects of interventions (e.g. increased family grocery costs, or adverse effects on parental self‐esteem or sense of competence) as a routine part of intervention trials;

  3. examination of the cost effectiveness of interventions found to be effective;

  4. interventions with extended periods of follow‐up to assess sustainability of intervention effects;

  5. interventions delivered using electronic modalities such as the Internet or mobile phones;

  6. interventions implemented across a broader range of settings, including health services and sports clubs;

  7. the investigation of the impact of interventions for children from low‐income, minority or indigenous communities (including by subgroup analyses).

What's new

Date Event Description
25 March 2022 Amended This is a Living Systematic Review. Searches are run and screened monthly. Search results up to 25 January 2020 are included in the current update (published May 2020). In addition, the team continues with the monthly screening (last search date 25 March 2022) and has found a further 15 new studies that will be included in a future update.

History

Protocol first published: Issue 6, 2010
Review first published: Issue 11, 2012

Date Event Description
13 December 2021 Amended This is a Living Systematic Review. Searches are run and screened monthly. Search results up to 25 January 2020 are included in the current update (published May 2020). In addition, the team continues with the monthly screening (last search date 25 October 2021) and has found a further 13 new studies that will be included in a future update.
13 March 2020 New search has been performed We conducted an update of the review, which includes 2 new trials based on a search from 25 January 2020 (Coulthard 2014; Lee 2015).
This is a Living Systematic Review. Searches are run and screened monthly. The last search for the regular monthly screenings was 25 March 2020 and no additional new studies have been identified.
13 March 2020 New citation required and conclusions have changed There remains moderate‐quality evidence that multicomponent interventions increase the consumption of fruit and vegetables amongst children aged five years and under. There is low‐quality evidence that specific child‐feeding practice interventions increase fruit and vegetable consumption of children aged five years and under. There remains very low‐quality that parent nutrition education interventions may not be effective in increasing fruit and vegetable consumption of children aged five and under.
25 October 2019 New search has been performed We conducted an update of the review, which includes 15 new trials based on a search from 25 August 2019 (Ahern 2019; Bakırcı‐Taylor 2019; Carney 2018; Farrow 2019; Hong 2018a; Hong 2018b; Kim 2018; Kobel 2019; Kristiansen 2019; Lanigan 2017; Nekitsing 2019a; Nekitsing 2019b; Owen 2018; Segura‐Perez 2017; Zeinstra 2017).
This is a Living Systematic Review. Searches are run and screened monthly. The last search for the regular monthly screenings was 25 September 2019 and we found an additional 2 new trials that will be included in the next update.
15 October 2019 New citation required and conclusions have changed There is moderate‐quality evidence that multicomponent interventions increase the consumption of fruit and vegetables amongst children aged five years and under. There remains very low‐quality evidence that specific child‐feeding practice interventions increase, and parent nutrition education interventions may not be effective in increasing, fruit and vegetable consumption of children aged five and under.
15 March 2018 New search has been performed We conducted an update of the review, which includes eight new trials based on a search from 25 January 2018 (Cohen 1995; Forestell 2007; Gerrish 2001; Heath 2014; Kling 2016; Sherwood 2015; Smith 2017; Zeinstra 2018).
This is a Living Systematic Review. Searches are run and screened monthly. The last search for the regular monthly screenings was 25 March 2018 and we found an additional four new studies and one ongoing study that will be included after the May 2018 update.
15 March 2018 New citation required and conclusions have changed There is low‐quality and very low‐quality evidence respectively that multicomponent and specific child‐feeding practice interventions increase the consumption of fruit and vegetable amongst children aged five years and under. There is very low‐quality evidence that parent nutrition education interventions may not be effective in increasing fruit and vegetable consumption of children aged five and under.
25 February 2018 New search has been performed This is a Living Systematic Review. Searches are run and screened monthly. Search results up to 25 September 2017 are included in the current update (published January 2018). In addition, the team continues with the monthly screening (last search date 25 January 2018) and has found a further 8 new studies and 4 new ongoing studies that will be included in the next update (expected in May 2018).
25 September 2017 New search has been performed We conducted an update of the review, which includes five new trials based on a search from 25 September 2017.
This is a Living Systematic Review. Searches are run and screened monthly. The last search for the regular monthly screenings was 25 November 2017 and we found an additional seven new studies and four new ongoing studies that will be included after the January 2018 update.
25 September 2017 New citation required but conclusions have not changed There remains very low‐quality evidence that specific child‐feeding practice interventions increase the consumption of vegetables amongst children aged five years and under. There is very low‐quality evidence that parent nutrition education interventions and multicomponent interventions respectively may not be effective in increasing fruit and vegetable consumption of children aged five and under.
30 September 2016 New citation required and conclusions have changed There is very low‐quality evidence that specific child‐feeding practice interventions increase the consumption of vegetables amongst children aged five years and under. There is very low‐quality evidence that parent nutrition education interventions and multicomponent interventions respectively may not be effective in increasing fruit and vegetable consumption of children aged five and under.
30 September 2016 New search has been performed We conducted an update of the review which identified 45 new trials eligible for inclusion.

Notes

Acknowledgements

Cochrane Heart supported the authors in the development of this systematic review.  

The following people conducted the editorial process for this review.  

• Co‐ordinating Editor/Sign‐off Editor (final editorial decision): Professor Rui Providencia, Cochrane Heart, University College London. 

• Managing Editors (selected peer reviewers, collated peer reviewer comments, provided editorial guidance to authors, edited the review): Ghazaleh Aali, Cochrane Heart, University College London. 

• Copy Editor (copy‐editing and production): Cochrane Copy Edit Unit.

• Information Specialist: Charlene Bridges, Cochrane Heart, University College London. 

• Peer‐reviewers (provided comments and recommended editorial decisions): Authors would like to acknowledge the efforts and assistance of the peer and consumer reviewers and editors including,  Nicole Martin (previous Managing Editor), Mahmood Ahmad (Contact Editor), Sarah Hodgkinson (Associate Editor) for their editorial support; peer reviewers Elizabeth Smith, Alyssa Moran, Emmanuel Androulakis and Sarah Gerritsen; and Sarah Haley, Juan Adriano Moran, and Filipe Oliveira Dos Santos, Jeff Kim, who provided translation services.

The authors would like to thank and acknowledge the support of Nicole Martin, Anneliese Synnott, Anna Noel‐Storr, James Thomas, and Julian Elliott in conducting the Living Systematic Review Pilot. We would also like to acknowledge the following Cochrane Crowd members who contributed to the title and abstract screening: Therese Dalsbø, Nikolaos Sideris, Susanna Wisniewski, Riccardo Guarise, Ghaleb Muhammad Mehyar, Stefanie Rosumeck, Donald Bourne, Karen Ma, Tina Jurén, Julia G Lavenberg, Anna Maria Paloma Lohikko, Bernardo Costa, Sarah Robinson, and Siddhant Parekh.

We also would like to thank the authors who contributed to the 2010 original review: Ben Britton, Karen Campbell and Patrick McElduff; and the previous review updates: Courtney Barnes, Kate M Bartlem, Erica L James, Tara Clinton‐McHarg, Nicole K Nathan, Emma Robson, Fiona G Stacey, Rachel Sutherland, and Sze Lin Yoong. We would also like to acknowledge the contribution of health promotion practitioners, community dieticians, Children's Services staff who provided comments on the scope and focus of the review protocol, and authors of trials who provided further information to the review team to facilitate assessments of trial eligibility and analysis.

Appendices

Appendix 1. Cochrane's living systematic review pilots

Living systematic reviews offer a new approach to review updating in which the review is continually updated, incorporating relevant new evidence as it becomes available (Elliott 2017). Cochrane is exploring the feasibility of preparing and publishing living systematic reviews in a series of pilots, which includes this review. For the Cochrane pilots, searching is being conducted monthly, and we will incorporate new relevant evidence (studies, data or other information) into the review in a timely manner, so that the findings of the review remain current.

For the most up‐to‐date information about the review, the results of the searches and any new evidence being incorporated, we encourage readers to check the update status information. We will revise the update status information whenever the searches are re‐run. We will update the review with a new citation whenever we find a new trial, or relevant information about already‐included trials (e.g. new outcome data).

Appendix 2. Search strategies

CENTRAL

#1 MeSH descriptor Fruit explode all trees

#2 MeSH descriptor Citrus explode all trees

#3 MeSH descriptor Vegetables explode all trees

#4 fruit*

#5 vegetable*

#6 orange*

#7 apple*

#8 (pear or pears)

#9 (grape or grapes)

#10 banana*

#11 (berry or berries):ti,ab,kw

#12 citrus

#13 carrot*

#14 "greens"

#15 cabbage*

#16 brassica*

#17 blackberr*

#18 blueberr*

#19 cranberr*

#20 kiwi*

#21 guava*

#22 lingonberr*

#23 mango*

#24 melon*

#25 papaya*

#26 pineapple*

#27 raspberr*

#28 strawberr*

#29 tomato*

#30 grapefruit*

#31 mandarin*

#32 satsuma*

#33 tangerine*

#34 (plum or plums)

#35 apricot*

#36 (cherry or cherries)

#37 nectarine*

#38 (peach or peaches)

#39 celery

#40 spinach*

#41 (salad or salads)

#42 (pea or peas)

#43 (bean or beans)

#44 broccoli

#45 cauliflower*

#46 beetroot*

#47 (turnip* or potato* or onion*)

#48 rhubarb

#49 MeSH descriptor Food Habits, this term only

#50 MeSH descriptor Food Preferences, this term only

#51 (health* next eating) or (food next habit*) or (food next preference*) or (eating next habit*) or (eating next preference*) or (eating next behavi*)

#52 (#1 OR #2 OR #3 OR #4 OR #5 OR #6 OR #7 OR #8 OR #9 OR #10)

#53 (#11 OR #12 OR #13 OR #14 OR #15 OR #16 OR #17 OR #18 OR #19 OR #20)

#54 (#21 OR #22 OR #23 OR #24 OR #25 OR #26 OR #27 OR #28 OR #29 OR #30)

#55 (#31 OR #32 OR #33 OR #34 OR #35 OR #36 OR #37 OR #38 OR #39 OR #40)

#56 (#41 OR #42 OR #43 OR #44 OR #45 OR #46 OR #47 OR #48 OR #49 OR #50 OR #51)

#57 (#52 OR #53 OR #54 OR #55 OR #56)

#58 MeSH descriptor Health Education explode all trees

#59 MeSH descriptor Health Promotion explode all trees

#60 MeSH descriptor Behavior Therapy explode all trees

#61 MeSH descriptor Counseling explode all trees

#62 MeSH descriptor Organizational Policy, this term only

#63 MeSH descriptor Public Policy, this term only

#64 MeSH descriptor Health Policy explode all trees

#65 MeSH descriptor Inservice Training explode all trees

#66 promot*

#67 educat*

#68 program*

#69 (policy or policies)

#70 train*

#71 (diet* near/6 intervention*)

#72 (behavi* near/6 intervention*)

#73 (#58 OR #59 OR #60 OR #61 OR #62 OR #63 OR #64 OR #65 OR #66)

#74 (#67 OR #68 OR #69 OR #70 OR #71 OR #72)

#75 (#73 OR #74)

#76 MeSH descriptor Infant explode all trees

#77 MeSH descriptor Child, Preschool, this term only

#78 (child or children)

#79 (pre‐school* or preschool*)

#80 (infant or infants or infancy)

#81 (nursery or nurseries or kindergarten)

#82 MeSH descriptor Parents explode all trees

#83 (parent or parents)

#84 (toddler* or baby or babies)

#85 MeSH descriptor Nurseries, this term only

#86 (#76 OR #77 OR #78 OR #79 OR #80 OR #81 OR #82 OR #83 OR #84 OR #85)

#87 (#57 AND #75 AND #86)

MEDLINE (Ovid)

1. exp Fruit/

2. exp Citrus/

3. exp Vegetables/

4. fruit*.tw.

5. vegetable*.tw.

6. orange*.tw.

7. apple*.tw.

8. (pear or pears).tw.

9. (grape or grapes).tw.

10. banana*.tw.

11. (berry or berries).tw.

12. citrus.tw.

13. carrot*.tw.

14. greens.tw.

15. cabbage*.tw.

16. brassica*.tw.

17. blackberr*.tw.

18. blueberr*.tw.

19. cranberr*.tw.

20. guava*.tw.

21. kiwi*.tw.

22. lingonberr*.tw.

23. mango*.tw.

24. melon*.tw.

25. papaya*.tw.

26. pineapple*.tw.

27. raspberr*.tw.

28. strawberr*.tw.

29. tomato*.tw.

30. potato*.tw.

31. onion*.tw.

32. grapefruit*.tw.

33. mandarin*.tw.

34. satsuma*.tw.

35. tangerine*.tw.

36. (plum or plums).tw.

37. apricot*.tw.

38. (cherry or cherries).tw.

39. nectarine*.tw.

40. (peach or peaches).tw.

41. celery.tw.

42. spinach*.tw.

43. (salad or salads).tw.

44. (pea or peas).tw.

45. (bean or beans).tw.

46. broccoli.tw.

47. cauliflower*.tw.

48. beetroot*.tw.

49. turnip*.tw.

50. rhubarb.tw.

51. Food Habits/

52. Food Preferences/

53. ((food or eating) adj (habit* or preference*)).tw.

54. eating behavi*.tw.

55. (health* adj eating).tw.

56. or/1‐55

57. exp Health Education/

58. exp Health Promotion/

59. exp Behavior Therapy/

60. exp Counseling/

61. organizational policy/

62. Public Policy/

63. exp Health Policy/

64. exp Inservice Training/

65. promot*.tw.

66. educat*.tw.

67. program*.tw.

68. (policy or policies).tw.

69. train*.tw.

70. (diet* adj6 intervention*).tw.

71. (behavi* adj6 intervention*).tw.

72. or/57‐71

73. exp Infant/

74. Child, Preschool/

75. (child or children).tw.

76. (pre‐school* or preschool*).tw.

77. (infant or infants).tw.

78. infancy.tw.

79. (nursery or nurseries).tw.

80. exp Parents/

81. (parent or parents).tw.

82. toddler*.tw.

83. Nurseries/

84. (baby or babies).tw.

85. or/73‐84

86. 56 and 72 and 85

87. randomized controlled trial.pt.

88. controlled clinical trial.pt.

89. randomized.ab.

90. placebo.ab.

91. drug therapy.fs.

92. randomly.ab.

93. trial.ab.

94. groups.ab.

95. 87 or 88 or 89 or 90 or 91 or 92 or 93 or 94

96. exp animals/ not humans.sh.

97. 95 not 96

98. 86 and 97

Embase Classic and Embase (Ovid)

1. exp Fruit/

2. exp Vegetables/

3. fruit*.tw.

4. vegetable*.tw.

5. orange*.tw.

6. apple*.tw.

7. (pear or pears).tw.

8. (grape or grapes).tw.

9. banana*.tw.

10. (berry or berries).tw.

11. citrus.tw.

12. carrot*.tw.

13. greens.tw.

14. cabbage*.tw.

15. brassica*.tw.

16. blackberr*.tw.

17. blueberr*.tw.

18. cranberr*.tw.

19. guava*.tw.

20. kiwi*.tw.

21. lingonberr*.tw.

22. mango*.tw.

23. melon*.tw.

24. papaya*.tw.

25. pineapple*.tw.

26. raspberr*.tw.

27. strawberr*.tw.

28. tomato*.tw.

29. grapefruit*.tw.

30. mandarin*.tw.

31. satsuma*.tw.

32. tangerine*.tw.

33. (plum or plums).tw.

34. apricot*.tw.

35. (cherry or cherries).tw.

36. nectarine*.tw.

37. (peach or peaches).tw.

38. celery.tw.

39. spinach*.tw.

40. (salad or salads).tw.

41. (pea or peas).tw.

42. (bean or beans).tw.

43. onion*.tw.

44. broccoli.tw.

45. cauliflower*.tw.

46. beetroot*.tw.

47. turnip*.tw.

48. rhubarb.tw.

49. potato*.tw.

50. exp feeding behavior/

51. ((food or eating) adj (habit* or preference*)).tw.

52. eating behavi*.tw.

53. (health* adj eating).tw.

54. or/1‐53

55. exp health education/

56. consumer health information/

57. behavior therapy/

58. exp counseling/

59. policy/

60. health care policy/

61. in service training/

62. promot*.tw.

63. educat*.tw.

64. program*.tw.

65. (policy or policies).tw.

66. train*.tw.

67. (diet* adj6 intervention*).tw.

68. (behavi* adj6 intervention*).tw.

69. lifestyle modification/

70. or/55‐69

71. exp infant/

72. preschool child/

73. (child or children).tw.

74. (pre‐school* or preschool*).tw.

75. (infant or infants).tw.

76. infancy.tw.

77. (nursery or nurseries).tw.

78. exp parent/

79. (parent or parents).tw.

80. toddler/

81. toddler*.tw.

82. nursery/

83. kindergarten/

84. (baby or babies).tw.

85. or/71‐84

86. 54 and 70 and 85

87. random$.tw.

88. factorial$.tw.

89. crossover$.tw.

90. cross over$.tw.

91. cross‐over$.tw.

92. placebo$.tw.

93. (doubl$ adj blind$).tw.

94. (singl$ adj blind$).tw.

95. assign$.tw.

96. allocat$.tw.

97. volunteer$.tw.

98. crossover procedure/

99. double blind procedure/

100. randomized controlled trial/

101. single blind procedure/

102. 87 or 88 or 89 or 90 or 91 or 92 or 93 or 94 or 95 or 96 or 97 or 98 or 99 or 100 or 101

103. (animal/ or nonhuman/) not human/

104. 102 not 103

105. 86 and 104

PsycINFO (Ovid)

1. fruit*.tw.

2. vegetable*.tw.

3. orange*.tw.

4. apple*.tw.

5. (pear or pears).tw.

6. (grape or grapes).tw.

7. banana*.tw.

8. (berry or berries).tw.

9. citrus.tw.

10. carrot*.tw.

11. greens.tw.

12. cabbage*.tw.

13. brassica*.tw.

14. blackberr*.tw.

15. blueberr*.tw.

16. cranberr*.tw.

17. guava*.tw.

18. kiwi*.tw.

19. lingonberr*.tw.

20. mango*.tw.

21. melon*.tw.

22. papaya*.tw.

23. pineapple*.tw.

24. raspberr*.tw.

25. strawberr*.tw.

26. tomato*.tw.

27. grapefruit*.tw.

28. mandarin*.tw.

29. satsuma*.tw.

30. tangerine*.tw.

31. (plum or plums).tw.

32. apricot*.tw.

33. (cherry or cherries).tw.

34. nectarine*.tw.

35. (peach or peaches).tw.

36. celery.tw.

37. spinach*.tw.

38. (salad or salads).tw.

39. (pea or peas).tw.

40. (bean or beans).tw.

41. broccoli.tw.

42. cauliflower*.tw.

43. beetroot*.tw.

44. turnip*.tw.

45. rhubarb.tw.

46. onion*.tw.

47. potato*.tw.

48. eating behavior/

49. food preferences/

50. eating attitudes/

51. (health* adj eating).tw.

52. eating behavi*.tw.

53. ((food or eating) adj (habit* or preference*)).tw.

54. or/1‐53

55. health education/

56. health promotion/

57. health literacy/

58. lifestyle changes/

59. exp behavior therapy/

60. exp counseling/

61. organizational policy/

62. exp policy making/

63. exp inservice training/

64. promot*.tw.

65. educat*.tw.

66. program*.tw.

67. (policy or policies).tw.

68. train*.tw.

69. (diet* adj6 intervention*).tw.

70. (behavi* adj6 intervention*).tw.

71. or/55‐70

72. (child or children).tw.

73. (pre‐school* or preschool*).tw.

74. (infant or infants).tw.

75. (nursery or nurseries or kindergarten*).tw.

76. (parent or parents).tw.

77. toddler*.tw.

78. (baby or babies).tw.

79. exp parents/

80. exp nursery school students/

81. kindergarten students/

82. infancy.tw.

83. (“120” or “140” or “160”).ag.

84. or/72‐83

85. 54 and 71 and 84

86. random$.tw.

87. factorial$.tw.

88. crossover$.tw.

89. cross‐over$.tw.

90. placebo$.tw.

91. (doubl$ adj blind$).tw.

92. (singl$ adj blind$).tw.

93. assign$.tw.

94. allocat$.tw.

95. volunteer$.tw.

96. control*.tw.

97. “2000”.md.

98. or/86‐97

99. 85 and 98

CINAHL Plus with Full Text

S102 S83 and S101

S101 S84 or S85 or S86 or S87 or S88 or S89 or S90 or S91 or S92 or S93 or S94 or S95 or S96 or S97 or S98 or S99 or S100

S100 TX cross‐over*

S99 TX crossover*

S98 TX volunteer*

S97 (MH “Crossover Design”)

S96 TX allocat*

S95 TX control*

S94 TX assign*

S93 TX placebo*

S92 (MH “Placebos”)

S91 TX random*

S90 TX (doubl* N1 mask*)

S89 TX (singl* N1 mask*)

S88 TX (doubl* N1 blind*)

S87 TX (singl* N1 blind*)

S86 TX (clinic* N1 trial?)

S85 PT clinical trial

S84 (MH “Clinical Trials+”)

S83 S55 and S69 and S82

S82 S70 or S71 or S72 or S73 or S74 or S75 or S76 or S77 or S78 or S79 or S80 or S81

S81 TI kindergarten or AB kindergarten

S80 (MH “Schools, Nursery”)

S79 TI (baby or babies) or AB (baby or babies)

S78 TI toddler* or AB toddler*

S77 TI (parent or parents) or AB (parent or parents)

S76 (MH “Parents+”)

S75 TI (nursery or nurseries) or AB (nursery or nurseries)

S74 TI (infant or infants or infancy) or AB (infant or infants or infancy)

S73 TI (pre‐school* or preschool* or “pre school*”) or AB (pre‐school* or preschool* or “pre school*”)

S72 TI (child or children) or AB (child or children)

S71 (MH “Child, Preschool”)

S70 (MH “Infant+”)

S69 S56 or S57 or S58 or S59 or S60 or S61 or S62 or S63 or S64 or S65 or S66 or S67 or S68

S68 TI (behavi* N5 intervention*) or AB (behavi* N5 intervention*)

S67 TI (diet* N5 intervention*) or AB (diet* N5 intervention*)

S66 TI train* or AB train*

S65 TI (policy or policies) or AB (policy or policies)

S64 TI program* or AB program*

S63 TI educat* or AB educat*

S62 TI promot* or AB promot*

S61 (MH “Public Policy+”)

S60 (MH “Organizational Policies+”)

S59 (MH “Counseling+”)

S58 (MH “Behavior Therapy+”)

S57 (MH “Health Promotion+”)

S56 (MH “Health Education+”)

S55 S1 or S2 or S3 or S4 or S5 or S6 or S7 or S8 or S9 or S10 or S11 or S12 or S13 or S14 or S15 or S16 or

S17 or S18 or S19 or S20 or S21 or S22 or S23 or S24 or S25 or S26 or S27 or S28 or S29 or S30 or S31 or S32 or S33 or S34 or S35

or S36 or S37 or S38 or S39 or S40 or S41 or S42 or S43 or S44 or S45 or S46 or S47 or S48 or S49 or S50 or S51 or S52 or S53 or

S54

S54 TI (“food habit*” or “food preference*” or “eating habit*” or “eating preference*”) or AB (“food habit*” or “food preference*” or

“eating habit*” or “eating preference*”)

S53 TI “health* eating” or AB “health* eating”

S52 (MH “Food Preferences”)

S51 (MH “Food Habits”)

S50 TI rhubarb or AB rhubarb

S49 TI onion* or AB onion*

S48 TI potato* or AB potato*

S47 TI turnip* or AB turnip*

S46 TI beetroot* or AB beetroot*

S45 TI cauliflower* or AB cauliflower*

S44 TI broccoli or AB broccoli

S43 TI (bean or beans) or AB (bean or beans)

S42 TI (pea or peas) or AB (pea or peas)

S41 TI (salad or salads) or AB (salad or salads)

S40 TI spinach* or AB spinach*

S39 TI celery or AB celery

S38 TI (peach or peaches) or AB (peach or peaches)

S37 TI nectarine* or AB nectarine*

S36 TI (cherry or cherries) or AB (cherry or cherries)

S35 TI apricot* or AB apricot*

S34 TI (plum or plums) or AB (plum or plums)

S33 TI tangerine* or AB tangerine*

S32 TI satsuma* or AB satsuma*

S31 TI mandarin* or AB mandarin*

S30 TI grapefruit* or AB grapefruit*

S29 TI tomato* or AB tomato*

S28 TI strawberr* or AB strawberr*

S27 TI raspberr* or AB raspberr*

S26 TI pineapple* or AB pineapple*

S25 TI papaya* or AB papaya*

S24 TI melon* or AB melon*

S23 TI mango* or AB mango*

S22 TI lingonberr* or AB lingonberr*

S21 TI guava* or AB guava*

S20 TI kiwi* or AB kiwi*

S19 TI cranberr* or AB cranberr*

S18 TI blueberr* or AB blueberr*

S17 TI blackberr* or AB blackberr*

S16 TI brassica* or AB brassica*

S15 TI cabbage* or AB cabbage*

S14 TI “greens” or AB “greens”

S13 TI carrot* or AB carrot*

S12 TI citrus or AB citrus

S11 TI (berry or berries) or AB (berry or berries)

S10 TI banana* or AB banana*

S9 TI (grape or grapes) or AB (grape or grapes)

S8 TI (pear or pears) or AB (pear or pears)

S7 TI apple* or AB apple*

S6 TI orange* or AB orange*

S5 TI vegetable* or AB vegetable*

S4 TI fruit* or AB fruit*

S3 (MH “Vegetables+”)

S2 (MH “Citrus+”)

S1 (MH “Fruit+”)

WHO International Clinical Trials Registry Platform

fruit* or citrus or vegetable* or food habits or food preference* AND infant or child* or preschool or pre‐school or parents or nurser*

ClinicalTrials.gov

child* or preschool or infant

Proquest Dissertations & Theses

(fruit or citrus or vegetable or food habits or food preferences) AND (infant or child, preschool or parents or nurser*)

GoogleScholar

(infant or child* or preschool or pre‐school) AND (fruit* or vegetable* or food habit or food preference)

Appendix 3. Living systematic review protocol

The methods outlined below are specific to maintaining the review as a living systematic review on the Cochrane Library (1). They will be used immediately upon publication of this update. Core review methods, such as the criteria for considering studies in the review and assessment of risk of bias, are unchanged. As such, below we outline only those areas of the Methods for which additional activities or rules apply.

Search methods for identification of studies

We will re‐run electronic database and trial registry searches monthly. For the electronic databases (CENTRAL, Epub Ahead of Print, In‐Process & Other Non‐Indexed Citations, MEDLINE Daily and MEDLINE and Embase) and other electronic sources (WHO International Clinical Trials Registry Platform and clinicaltrials.gov), we will set up auto‐alerts (where possible) to deliver a monthly search yield by email.

We will search other resources (articles published in three relevant international peer reviewed journals: Journal of Nutrition Education and Behavior, Public Health Nutrition, and Journal of the Academy of Nutrition and Dietetics; database of published dissertations; and grey literature in GoogleScholar) manually every six months.

As additional steps to inform the living systematic review, we will contact corresponding authors of ongoing studies as they are identified and ask them to advise when results are available, or to share early or unpublished data. We will contact the corresponding authors of any newly‐included studies for advice about other relevant studies. We will conduct citation tracking of included studies in Web of Science Core Collection on an ongoing basis. For that purpose, we have set up citation alerts in Web of Science Core Collection. We will manually screen the reference list of any newly‐included studies and systematic reviews. Also, we will use the 'related citation' feature in PubMed to identify additional articles.

We will review search methods and strategies approximately yearly, to ensure they reflect any terminology changes in the topic area, or in the databases.

Selection of studies

We will immediately screen any new citations retrieved by the monthly searches. As the first step of monthly screening, we will apply the machine learning classifier (RCT model) (Wallace 2017) available in the Cochrane Register of Studies (CRS‐Web) (Cochrane 2017a). The classifier assigns a probability (from 0 to 100) to each citation for being a true randomised controlled trial (RCT). For citations that are assigned a probability score of less than 10, the machine learning classifier currently has a specificity/recall of 99.987% (Wallace 2017). We will screen citations assigned a score from 10 to 100 in duplicate and independently. Cochrane Crowd (Cochrane 2017b) will screen citations that score 9 or less. Any citations that are deemed to be potential RCTs by Cochrane Crowd will be returned to the authors for screening.

Data synthesis

Whenever we find new evidence (i.e. studies, data or information) meeting the review inclusion criteria, we will extract the data, assess risk of bias and incorporate it in the synthesis every three months, as appropriate.

We will incorporate any new study data into existing meta‐analyses using the standard approaches outlined in the Data synthesis section.

Sensitivity analysis

We will not adjust the meta‐analyses to account for multiple testing, given that the methods related to frequent updating of meta‐analyses are under development (Simmonds 2017).

Other

We will consider the review scope and methods if appropriate in light of potential changes in the topic area, or the evidence being included in the review (e.g. additional comparisons, interventions or outcomes, or new review methods available).

The review is being piloted as a living systematic review up until March 2018.

Data and analyses

Comparison 1. Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention.

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
1.1 Vegetable intake 19 2140 Std. Mean Difference (IV, Random, 95% CI) 0.50 [0.29, 0.71]
1.2 Vegetable intake ‐ sensitivity analysis ‐ risk of bias 8 701 Std. Mean Difference (IV, Random, 95% CI) 0.54 [0.18, 0.90]
1.3 Vegetable intake ‐ sensitivity analysis ‐ primary outcome 14 1697 Std. Mean Difference (IV, Random, 95% CI) 0.61 [0.35, 0.88]
1.4 Vegetable intake ‐ sensitivity analysis ‐ missing data 11 971 Std. Mean Difference (IV, Random, 95% CI) 0.49 [0.22, 0.77]
1.5 Vegetable intake ‐ subgroup analysis ‐ modality 19 2140 Std. Mean Difference (IV, Random, 95% CI) 0.50 [0.29, 0.71]
1.5.1 Face‐to‐face 14 1715 Std. Mean Difference (IV, Random, 95% CI) 0.54 [0.27, 0.82]
1.5.2 Other modality 5 425 Std. Mean Difference (IV, Random, 95% CI) 0.40 [0.20, 0.61]
1.6 Vegetable intake ‐ subgroup analysis ‐ setting 19 2140 Std. Mean Difference (IV, Random, 95% CI) 0.50 [0.29, 0.71]
1.6.1 School or preschool 8 810 Std. Mean Difference (IV, Random, 95% CI) 0.63 [0.23, 1.03]
1.6.2 Home 4 516 Std. Mean Difference (IV, Random, 95% CI) 0.46 [0.13, 0.79]
1.6.3 Home + Lab 3 75 Std. Mean Difference (IV, Random, 95% CI) 0.88 [0.40, 1.36]
1.6.4 Other settings 4 739 Std. Mean Difference (IV, Random, 95% CI) 0.18 [‐0.15, 0.50]
1.7 Vegetable intake ‐ subgroup analysis ‐ age 19   Std. Mean Difference (IV, Random, 95% CI) 0.50 [0.29, 0.71]
1.7.1 < 12 months 4   Std. Mean Difference (IV, Random, 95% CI) 0.20 [‐0.14, 0.54]
1.7.2 >= 12 months 15   Std. Mean Difference (IV, Random, 95% CI) 0.58 [0.34, 0.83]

Comparison 2. Short‐term impact (< 12 months) of parent nutrition education intervention versus no intervention.

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
2.1 Fruit and vegetable intake 11 3050 Std. Mean Difference (IV, Random, 95% CI) 0.13 [‐0.02, 0.28]
2.2 Fruit and vegetable intake ‐ sensitivity analysis ‐ primary outcome 8 2764 Std. Mean Difference (IV, Random, 95% CI) 0.05 [‐0.07, 0.16]
2.3 Fruit and vegetable intake ‐ sensitivity analysis ‐ missing data 7 2518 Std. Mean Difference (IV, Random, 95% CI) 0.12 [‐0.00, 0.24]
2.4 Fruit and vegetable intake ‐ subgroup analysis ‐ modality 11 3050 Std. Mean Difference (IV, Random, 95% CI) 0.13 [‐0.02, 0.28]
2.4.1 Face‐to‐face only 5 826 Std. Mean Difference (IV, Random, 95% CI) 0.12 [‐0.20, 0.45]
2.4.2 Audio visual only 2 386 Std. Mean Difference (IV, Random, 95% CI) 0.40 [‐0.04, 0.85]
2.4.3 Other modality 4 1838 Std. Mean Difference (IV, Random, 95% CI) 0.04 [‐0.12, 0.21]
2.5 Fruit and vegetable intake ‐ subgroup analysis ‐ setting 11 3050 Std. Mean Difference (IV, Random, 95% CI) 0.13 [‐0.02, 0.28]
2.5.1 Home 5 2019 Std. Mean Difference (IV, Random, 95% CI) 0.07 [‐0.14, 0.27]
2.5.2 Preschool 2 243 Std. Mean Difference (IV, Random, 95% CI) 0.43 [‐0.27, 1.13]
2.5.3 Other settings 4 788 Std. Mean Difference (IV, Random, 95% CI) 0.09 [‐0.07, 0.25]
2.6 Fruit and vegetable intake ‐ subgroup analysis ‐ age 11   Std. Mean Difference (IV, Random, 95% CI) 0.13 [‐0.02, 0.28]
2.6.1 < 12 months 2   Std. Mean Difference (IV, Random, 95% CI) 0.06 [‐0.17, 0.29]
2.6.2 >= 12 months 9   Std. Mean Difference (IV, Random, 95% CI) 0.15 [‐0.04, 0.35]

Comparison 3. Short‐term impact (< 12 months) of multicomponent intervention versus no intervention.

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
3.1 Fruit and vegetable intake 9 2961 Std. Mean Difference (IV, Random, 95% CI) 0.32 [0.09, 0.55]
3.2 Fruit and vegetable intake ‐ sensitivity analysis ‐ primary outcome 8 2267 Std. Mean Difference (IV, Random, 95% CI) 0.37 [0.10, 0.64]
3.3 Fruit and vegetable intake ‐ sensitivity analysis ‐ missing data 4 455 Std. Mean Difference (IV, Random, 95% CI) 0.66 [0.40, 0.91]
3.4 Fruit and vegetable intake ‐ subgroup analysis ‐ modality 9 2961 Std. Mean Difference (IV, Random, 95% CI) 0.32 [0.09, 0.55]
3.4.1 Face‐to‐face only 2 67 Std. Mean Difference (IV, Random, 95% CI) 1.06 [0.13, 1.99]
3.4.2 Face‐to‐face + written materials 4 2196 Std. Mean Difference (IV, Random, 95% CI) 0.03 [‐0.08, 0.14]
3.4.3 Other modality 3 698 Std. Mean Difference (IV, Random, 95% CI) 0.44 [‐0.03, 0.91]
3.5 Fruit and vegetable intake ‐ subgroup analysis ‐ setting 9 2961 Std. Mean Difference (IV, Random, 95% CI) 0.32 [0.09, 0.55]
3.5.1 School or preschool 5 2221 Std. Mean Difference (IV, Random, 95% CI) 0.21 [‐0.07, 0.49]
3.5.2 Preschool and home 2 401 Std. Mean Difference (IV, Random, 95% CI) 0.69 [0.41, 0.97]
3.5.3 Other settings 2 339 Std. Mean Difference (IV, Random, 95% CI) 0.16 [‐0.18, 0.50]

Characteristics of studies

Characteristics of included studies [ordered by study ID]

Ahern 2019.

Study characteristics
Methods Study design
C‐RCT
Funding
"Research leading to these results has received funding from the European Community's Seventh Framework Programme (FP7/2007–2013) under the grant agreement no. 245012‐HabEat; coordinated by Dr Sylvie Issanchou.”
Participants Description
Children aged 24 to 60 months attending 5 nurseries located in the West and South Yorkshire areas, UK
N (randomised)
5 nurseries, 184 children
Age
Child (mean): repeated exposure = 45.6 months, variety = 40.0 months
Parent: not reported
% female
Child: repeated exposure = 45%, variety = 43%
Parent: not reported
SES and ethnicity
“All five nurseries served areas located within the 50% most deprived (small areas) in England according to the Index of Multiple Deprivation scores [https://www.gov.uk/government/collections/english‐indices‐ofdeprivation].”
“Children attending two of the nurseries were predominantly White British, while children at the remaining three were predominantly South Asian.”Inclusion/exclusion criteria
No explicit inclusion/exclusion criteria stated for this trial, however, children were screened for food allergies (as reported by parents).
Recruitment
“Parents of pre‐school children aged 24‐60 months were recruited through local day care nurseries in the West and South Yorkshire areas, UK.”
Recruitment rate
Child: not reported
Nursery: 50% (5/10)
Region
West and South Yorkshire areas (UK)
Interventions Number of experimental conditions
2
Number of participants (analysed)
40 children (not reported by group)
Description of intervention
3 target vegetables were selected for the intervention that were familiar but were not typically eaten as snacks: baby sweet corn, celery, and red pepper.
“The target vegetables were offered as the single snacks (in the RE condition) and included in the mixed vegetable snack (in the V condition). To ensure variety, a further 2 vegetables, radish and green pepper, were also selected to be included in the mixed vegetable snack based on the same criteria (familiar, but were not typically consumed as snacks).”
“The single vegetable snack consisted of 100 g of one of the three target vegetables (baby sweet corn, celery or red pepper). The variety snack was a mix of 20 g of each of the five vegetables (baby sweet corn, celery, red pepper, green pepper and radish).”
Duration
3 weeks
Number of contacts
6 exposures (twice/week)
Setting
Preschool
Modality
Face‐to‐face
Interventionist
Nursery staff (researcher present for first session)
Integrity
“In total, 115 children received at least 5 of the 6 exposures and were present for all pre‐intervention and post‐intervention measures.”
Date of study
Not reported
Description of control
N/A
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of vegetable snacks (grams). Unclear how vegetable snacks weighed and recorded
Outcome relating to absolute costs/cost‐effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
5 and 10 weeks
Length of follow‐up postintervention
< 1 (2 to 5 days) and 5 weeks
Subgroup analyses
“In order to identify differences in the age, BMI and gender of the two groups a one way analysis of variance and also chi‐square tests were conducted.”
“No main effects or interactions involving age or BMI z‐scores were found.”
Loss to follow‐up (at < 1 week and 5 weeks)
Overall = 48%, 78%
Analysis
Adjusted for clustering
Sample size calculation was performed
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Quote: “Nursery classes were randomly assigned to a condition (RE or V) and then randomly assigned to a target vegetable (baby corn, red pepper, or celery) using a block approach.”
No further information
Allocation concealment (selection bias) Unclear risk No information provided re concealment
Blinding of participants and personnel (performance bias)
All outcomes Low risk Outcome group: intake (grams) – no blinding but objective measure of child’s vegetable intake and unlikely to be influenced by performance bias
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Outcome group: all/objective measure – unlikely personnel influence intake however unclear if the researcher or nursery staff completed the measurements
Incomplete outcome data (attrition bias)
All outcomes High risk Loss to follow‐up: 69/184 = 38%
Same reason, did not receive at least 5 exposures, no ITT reported
Not provided by group
Selective reporting (reporting bias) Unclear risk Unclear – no protocol or trial registration
Other bias Unclear risk Recruitment bias (low risk): randomised after recruitment
Baseline imbalance (unclear risk): to control for significant differences in age and BMI z‐scores, analyses included these factors as covariates. Age was first recalculated to be mean centred.
Loss of clusters (low risk): no evidence of loss of clusters
Incorrect analysis (low risk): adjusted for clustering. “In order to investigate whether the nursery conditions produced any clustering, the intra cluster correlation for the pre intervention intake was assessed by calculating a mixed model using lmer in R with only nursery as a random factor. This produced an ICC of 0.04, VIF=1.72. In order to ensure this did not impact the result, all the main analyses were recalculated using multilevel models with nursery and child as random factors. This produced no change in the pattern of results reported, and for simplicity the simpler ANCOVA results are reported here.”
Contamination bias (low risk): no contamination bias evident.

Anzman‐Frasca 2012.

Study characteristics
Methods Study design
RCT
Funding
Not reported
Participants Description
Children aged 3 to 6 years attending an independent childcare facility in Central Pennsylvania, USA
N (randomised)
47 children
Age
Child: 3 to 6 years (mean = 4.7 years)
Parent: not reported
% female
Child: 51%
Parent: not reported
SES and ethnicity
Child: White 83%, Asian 10%
Parent: “Most parents were well‐educated (median education = bachelor’s degree) and were currently employed. The majority of parents reported being married (88%), and the majority of the families reported annual combined family incomes greater than $60,000 (89%).”
Inclusion/exclusion criteria
No explicit inclusion criteria stated for this trial
Exclusion criteria: “Children were excluded if they had intolerance to study foods, a chronic illness affecting food intake, or if they were non‐English speaking. Additionally, individuals with extended absences were excluded from the results.”
Recruitment
Not reported
Recruitment rate
Not reported
Region
Central Pennsylvania (USA)
Interventions Number of experimental conditions
2
Number of participants (analysed)
41 (not reported by group)
Description of intervention
“All children in each classroom received the same vegetable throughout the study”.
“children were asked twice weekly over a period of 4 weeks to take a taste of a very small portion (~4 g) of the vegetable in its assigned condition.”
Repeated exposure: vegetable intake without dip
Flavor‐flavor associative conditioning: vegetable intake with dip. “Dips served in this experiment included two savory dips (ketchup and ranch‐flavored) and one sweet‐tasting dip (cinnamon sugar)”
Duration
4 weeks
Number of contacts
8 exposure sessions (2 exposures/week)
Setting
Preschool
Modality
Face‐to‐face
Interventionist
Research staff
Integrity
No information provided
Date of study
Not reported
Description of control
N/A
Outcomes Outcome relating to children's fruit and vegetable consumption
Consumption of target vegetable (grams). Children were served a bowl containing 60 g of the vegetable, and children in the AC condition were also served ~60 g of dip in 3.25 oz soufflé cups, which accompanied the vegetable…. Instructions to children prior to the meal were to eat as much as they wanted, not to share food with others, and to remain in their seats…. When children finished snack, spilled or dropped foods were returned to the correct dish and snack trays were cleared. Vegetables were weighed before serving and were weighed after the intake session was complete, and the difference was recorded as vegetable intake.”
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
9 weeks
Length of follow‐up postintervention
2 weeks
Subgroup analyses
None
Loss to follow‐up
There was no loss to follow‐up.
Analysis
Not reported if sample size calculation was performed.
Notes Sensitivity analysis ‐ primary outcome: primary outcome not stated. Child fruit and vegetable intake second listed outcome measure
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomly allocated to experimental group but the random sequence generation procedure is not described
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes High risk Participants were not blinded and it seems likely that children may have been influenced by those children around them and whether or not other children had a flavoured dip
Blinding of outcome assessment (detection bias)
All outcomes Low risk Food was weighed and it is unlikely to be influenced by whether the researchers were blinded to condition
Incomplete outcome data (attrition bias)
All outcomes Low risk There does not appear to be any attrition and therefore very low risk of attrition bias
Selective reporting (reporting bias) Unclear risk There is no study protocol so it is unclear if there was selective outcome reporting
Other bias Low risk Contamination bias that could threaten the internal validity is unlikely to be an issue

Bakırcı‐Taylor 2019.

Study characteristics
Methods Study design
RCT
Funding
“The Helen Jones Foundation at Texas Tech University provided partial funding for this research.”
Participants Description
Children aged 3 to 8 years and their parent
N (randomised)
30 parent‐child dyads
Age
Child (mean): intervention = 3.77 years, control = 3.64 years
Parent: mothers age reported (years)
18 to 24: intervention = 0%, control = 20%
25 to 30: intervention = 20%, control = 40%
31 to 35: intervention = 40%, control = 33%
36 to 45: intervention = 40%, control = 7%
% female
Child: intervention = 40%, control = 60%
Parent: 100%
SES and ethnicity
Parent: incomes of ≥ USD 75,000, overall = 40%
Had at least a bachelor’s degree: intervention = 73%, control = 74%
Ethnicity
White: intervention = 67%, control = 80%;
Hispanic or Latino: intervention = 20%, control = 7%;
Black or African American: intervention = 7%, control = 0%;
Asian or Pacific Islander: intervention = 7%, control = 7%;
Other: intervention = 0, control = 7%
Inclusion/exclusion criteria
Inclusion criteria: “Inclusion criteria included having a child aged 3−8 years, owning a smartphone or tablet, and having a parent and child available to attend study measurement sessions.”
No explicit exclusion criteria stated
Recruitment
“A convenience sample of parents with children was recruited during 2 weeks at story time sessions at 3 libraries in Lubbock, TX through research staff on‐site and posted flyers.”
Recruitment rate
100% (30/30)
Region
Texas (USA)
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention = 11 parent‐child dyads, control = 14 parent‐child dyads
Description of intervention
“The mobile Jump2Health intervention included 3 components: a mobile website (Jump2Health) which included content on the more fruits and vegetables healthy habit, social media (Facebook page) which provided information that was unavailable on the mobile website and also reinforced information and text found on the website and promoted linked resources on the website, and 12 short message service or text messages about ways to encourage more vegetable and fruit consumption through increased accessibility.”
Duration
10 weeks
Number of contacts
Unclear (unlimited access to mobile website, 177 posts on fruits and vegetables to Facebook, 12 text messages)
Setting
Home and library
Modality
Multiple (website, Facebook, text messages)
Interventionist
Trained research staff
Integrity
Recorded reach and engagement
Mobile website: 64% created an account on the password‐protected mobile Jump2Health website and 86% visited the mobile website an average of 1 to 2 times/week.
Facebook: all 11 participants who completed the intervention indicated that they had visited the Facebook page or had seen content from the page on their Facebook News Feed.
Date of study
Not reported
Description of control
“Parents in the control group did not receive access to the website or social media; they received 12 text messages only about physical activity.”
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s intake of fruits and vegetables assessed using the ‘The Veggie Meter’ which measures the (diet‐derived) carotenoid concentration in the skin
Outcome relating to absolute costs/cost‐effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
5 (midpoint) and 10 weeks (follow‐up)
Length of follow‐up postintervention
Immediate
Subgroup analyses
None
Loss to follow‐up (at immediate)
Intervention = 27%, control = 7%
Analysis
Not reported if sample size calculation was performed
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Quote: “During the on‐site enrolment process, participants were randomly assigned to 2 groups (control or intervention) via simple randomization. The statistical software R (version 3.1.2, R Foundation for Statistical Computing, Vienna, Austria) was used to determine a large number (approximately 100) of equally likely random group assignments through a fixed seed.”
Allocation concealment (selection bias) Low risk Quote: “Those assignments were then printed out and individually stored in serially numbered, opaque, sealed envelopes. Research staff opened 1 envelope at a time to reveal the assignment for each participant when she arrived for baseline measurements.”
Blinding of participants and personnel (performance bias)
All outcomes Low risk Personnel, parents not blinded. Intervention delivered via webpage, Facebook and text message. Objective biomedical measure and unlikely to be influenced by performance bias
Blinding of outcome assessment (detection bias)
All outcomes Low risk Objective measure of carotenoid concentrations in the skin
Incomplete outcome data (attrition bias)
All outcomes High risk Overall: 17%, significantly more participants in intervention (27%) than control (7%) group, no ITT reported
Reasons for noncompletion were the same in both groups (change in family schedules and unspecified)
Selective reporting (reporting bias) Unclear risk No protocol or trial registration
Other bias Low risk Contamination bias that could threaten the internal validity is unlikely to be an issue

Barends 2013.

Study characteristics
Methods Study design
RCT
Funding
“This project was funded by Wageningen University and Research Centre.”
Participants Description
Healthy infants between 4 and 7 months (not being weaned yet) and their parent
N (randomised)
101 parent‐infant pairs
Age
Child (mean): green beans group = 162 days, artichoke group = 160 days, apple group = 165 days, plum group = 162 days
Parent (mean): green beans group = 31 years, artichoke group = 30 years, apple group = 31 years, plum group = 32 years
% female
Child: green beans group = 54%, artichoke group = 41%, apple group = 56%, plum group = 44%
Parent: 96%
SES and ethnicity
Parent: low education = 17%, middle education = 32%, high education = 50%
Inclusion/exclusion criteria
Inclusion criteria: “Only healthy Children between 4 and 7 months old, who were not being weaned yet, were included in the study.”
Exclusion criteria: “Children with known food allergies, swallowing or digestion problems, or other medical problems that could influence the ability to eat, were excluded.”
Recruitment
“The participants were recruited from the area of Wageningen and Almere in the Netherlands where both the research locations were. They were recruited via local newspapers, maternity or children welfare centers, postnatal care groups, and a mailing to subscribers of babyinfo.nl (a Dutch advertisement website that gives a box with free products for subscribers expecting a baby).”
Recruitment rate
Not reported
Region
Wageningen and Almere (The Netherlands)
Interventions Number of experimental conditions
4
Number of participants (analysed)
Green beans group = 24
Artichoke group = 27
Apple group = 24
Plum group = 24
Description of intervention
At the lab (days 1,2,17,18 and 19): “A bowl with two jars of vegetable purée was handed to the mother and the mother fed the infant at their usual rate until the end of the feeding was indicated by the infant (i.e. when it rejected the spoon more than three successive times).”
At the home (days 3 to 16): “At the end of the 2nd test‐day at the lab, the mothers received the jars of puréed vegetables or fruits for the home exposure period. Each jar was labelled with the date on which it had to be fed to the infant and numbered from 3 to 16 corresponding to the respective days of the intervention period. The feeding was carried out every day at about the same time and in the same way as during days 1 and 2 in the lab.”
Duration
19 days
Number of contacts
9 exposure sessions
Setting
Lab and home
Modality
Face‐to‐face
Interventionist
Researchers trained parents to offer the target vegetable or fruit puree to their child
Integrity
No information provided
Date of study
Not reported
Description of control
N/A
Outcomes Outcome relating to children's fruit and vegetable consumption
Consumption of target vegetable and fruit purees (grams).
At the lab: “The pre‐ and post‐weight of the bowl including the spoon and bib was weighted to measure the actual intake.”
At the home: “The mother was instructed to empty both jars completely on a plate and to put all what was left over after the feeding, including the vegetable purée that was spilled on the table, floor, bib, child’s face, etc. back in the jar and to seal the jar with the lid and put it in the refrigerator…. In order to have a standardized measure of home intake, the jars had been pre‐weighted in the lab before the home exposure period, and after they were collected and were post‐weighted again in the lab.”
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
19 days
Length of follow‐up postintervention
Immediately
Subgroup analyses
None
Loss to follow‐up
Overall = 2% (not reported by group)
Analysis
Not reported if sample size calculation was performed
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomly allocated to experimental group but the random sequence generation procedure is not described
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes High risk There is no indication whether the mother who fed the child was blind to group allocation. Given the mother fed the child, at high risk of performance bias
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk There is no indication whether the mother who fed the child and weighed the food was blinded to group allocation. Given the food was weighed by the mother the risk of detection bias is unclear
Incomplete outcome data (attrition bias)
All outcomes Low risk 94% retention and therefore risk of attrition bias is low
Selective reporting (reporting bias) Unclear risk There is no study protocol, therefore it is unclear if there was selective outcome reporting
Other bias Low risk Contamination bias that could threaten the internal validity is unlikely to be an issue

Baskale 2011.

Study characteristics
Methods Study design
C‐RCT
Funding
“No external or intramural funding was received.”
Participants Description
Children 5 years of age in 12 nursery schools connected to the Izmir Provincial Directorate of National Education
N (randomised)
6 preschools, 238 children
Age
Child: 5 years of age
Parent (mean): intervention mothers = 33.4 years, control mothers = 33.4 years, intervention fathers = 36.9 years, control fathers = 36.8 years
% female
Child: intervention = 60%, control = 48%
Parent: not reported
SES and ethnicity
Family SES: low = 16%, medium = 73%, upper = 11%
Parent: education levels reported.
Mother: primary = 9%, secondary school = 15%, high school = 38%, university = 38%.
Father: primary = 10%, secondary school = 14%, high school = 37%, university = 40%
Inclusion/exclusion criteria
Not reported
Recruitment
Not reported
Recruitment rate
Child: not reported
Nursery: not reported
Region
Izmir (Turkey)
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention = 141, control = 97
Description of intervention
“The content of the education guided by Piaget’s theory included play and visual materials. Thus, healthy food choices were created by means of play/games. Following age‐appropriate education carried out using Piaget’s theory, improvements are observed in food selection and consumption”
Duration
Initial intervention = 6 weeks and at 1 year follow‐up a 3 week refresher intervention (20 to 30 minutes per session)
Number of contacts
9 sessions (1 per week)
Setting
Preschool
Modality
Face‐to‐face
Interventionist
“The researcher (H.B.), who is a nurse educator, was the interventionist for all sessions.”
Integrity
No information provided
Date of study
February 2007 to June 2008
Description of control
“The children in the control group had not received nutrition education but they had received a general program of education (the nutrition education prescribed by the Ministry of National Education preschool). The yearly syllabus of the Ministry includes subjects on nutrition every 2 months. This time frame, however, may be insufficient for nutrition education.”
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of fruits and vegetables assessed using food frequency questionnaire (FFQ) completed by parents
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
Post‐test: 4 months (pre‐test February 2007 – post‐test June 2007)
Post‐test 2: 16 months (post‐test 2 June 2008)
Length of follow‐up postintervention
Post‐test: 2 months
Post‐test 2: 14 months
Subgroup analyses
None
Loss to follow‐up (at 2 and 14 months)
Intervention: 1%, 52%
Control: 9%, 51%
Analysis
Did not adjust for clustering
Sample size calculation was performed.
Notes Sensitivity analysis ‐ primary outcome: Primary outcome not stated, power calculation conducted on knowledge only
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomly allocated to experimental group but the random sequence generation procedure is not described
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes High risk Nutrition knowledge & food frequency (self‐reported)
There is no blinding to group allocation of participants or personnel described and this is likely to influence performance
Blinding of outcome assessment (detection bias)
All outcomes High risk Nutrition knowledge & food frequency
There is no mention that participants were blinded to group allocation and therefore the risk of detection bias is high
Incomplete outcome data (attrition bias)
All outcomes High risk 67/141 (48%) in experimental group and 48/97 (49%) in control group completed post‐test 2 and therefore risk of attrition bias is high
Selective reporting (reporting bias) Unclear risk There is no study protocol therefore it is unclear if there was selective outcome reporting
Other bias Low risk Contamination, baseline imbalance, & other bias that could threaten the internal validity do not appear to be an issue

Black 2011.

Study characteristics
Methods Study design
RCT
Funding
Not reported
Participants Description
Low‐income mother/toddler (12 to 30 months) dyads
N (randomised)
Not reported
Age
Child (mean): 20 months
Parent (mean): 27.4 years
% female
Child: 59%
Parent: 100%
SES and ethnicity
Parent: “67.3% below poverty index, 34% married, 68% black”
Inclusion/exclusion criteria
Low‐income mother (criteria not stated) with toddler 12 to 30 months
Recruitment
Recruited from WIC (Women, Infants and Children) Clinics
Recruitment rate
Not reported
Region
USA
Interventions Number of experimental conditions
3
Number of participants (analysed)
Preliminary = 151
Description of intervention
“Interventions (5 group & 3 individual sessions) used goal setting to promote: 1) parenting practices or 2) maternal diet and physical activity (PA)"
Duration
Not reported
Number of contacts
Not reported
Setting
WIC Clinic
Modality
Face‐to‐face
Interventionist
Unclear
Integrity
No information provided
Date of study
Not reported
Description of control
Placebo group, sessions provided on toddler safety
Outcomes Outcome relating to children's fruit and vegetable consumption
Change in vegetable and fruit intake (mypyramid equivalent per 1000 kcal) assessed using 24‐h diet recall completed by parents
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
6 and 12 months
Length of follow‐up postintervention
Unclear
Subgroup analyses
None
Loss to follow‐up
Not reported
Analysis
Not reported if sample size calculation was performed.
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomly allocated to experimental group but the random sequence generation procedure is not described
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes High risk 24‐h diet recall
There is no blinding to group allocation of participants or personnel described and this is likely to influence performance
Blinding of outcome assessment (detection bias)
All outcomes High risk 24‐h diet recall
There is no mention that participants were blinded to group allocation and therefore the risk of detection bias is high
Incomplete outcome data (attrition bias)
All outcomes Unclear risk There is no information provided about attrition rates at follow‐up
Selective reporting (reporting bias) Unclear risk There is no study protocol therefore it is unclear if there was selective outcome reporting
Other bias Unclear risk There is insufficient information to determine the risk of other bias

Blissett 2016.

Study characteristics
Methods Study design
RCT
Funding
“Funded by the Feeding For Life Foundation (grant reference number 11‐1170).”
Participants Description
Children aged 2 to 4 years and their principle caregiver (parent)
N (randomised)
120 parent‐child dyads
Age
Child (mean): prompting no modelling = 27 months, prompting and modelling = 29 months, modelling ‘control’ group = 31 months
Parent (mean): mothers age reported.
Prompting no modelling = 34 years, prompting and modelling = 26 years, modelling ‘control’ group = 35 years
% female
Child: 45%
Parent: 98%
SES and ethnicity
Not reportedInclusion/exclusion criteria
“Inclusion criteria for children included the absence of known food allergies or disorders affecting eating, current or recent major illness or diagnosed intellectual disabilities.”
Recruitment
“Caregivers and their children were recruited through the Children and Child Laboratory database, which contains information on families in which caregivers have indicated an interest in research participation at the University of Birmingham.”
Recruitment rate
Not reported
Region
UK
Interventions Number of experimental conditions
3
Number of participants (analysed)
Prompting no modelling = 35 dyads
Prompting and modelling = 37 dyads
Modelling ‘control’ group = 27 dyads
Description of intervention
Prompting no modelling: “Caregivers were asked to use physical prompts to eat the novel fruit (NF) (including passing the food to the child, moving the food towards the child, holding the NF up to the child’s face, encouraging the child to touch the NF).”
Prompting and modelling: as well as using physical prompts as in PNM, “The caregivers assigned to this condition were also asked to try the NF themselves.”
Modelling ‘control’ group: “Caregivers in this condition were not given any information about prompting, but were simply asked to taste the NF themselves.”
Duration
1 day
Number of contacts
1
Setting
Lab
Modality
Face‐to‐face
Interventionist
Parents
Integrity
Prompting no modelling: “Of an original sample of fifty, fifteen were classed as non‐compliant: ten caregivers failed to prompt a minimum of three times, and five caregivers were removed from the group because they ate the NF. This left a sample of thirty‐five parents who physically prompted but did not model eating the fruit.”
Prompting and modelling: “Of an original sample of forty‐three dyads, six were non‐compliant because the parent failed to prompt three times or more, leaving a sample of thirty‐seven parents who prompted and modelled eating the fruit.”
Modelling ‘control’ group: “There were twenty‐seven dyads in this condition, in which the parent modelled eating of the fruit; all were compliant with this request.”
Date of study
Not reported
Description of control
N/A
Outcomes Outcome relating to children's fruit and vegetable consumption
Consumption of novel fruit (grams): “All meal items were weighed on scientific scales before and after consumption.”
“Owing to differences in weights of the different NF offered, it was not possible to compare conditions based on simple weight of consumption. Therefore, we calculated consumption of the NF based on the percentage consumed of the whole portion offered.”
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events:
Not reported
Length of follow‐up from baseline
< 1 day
Length of follow‐up postintervention
Same day
Subgroup analyses
None
Loss to follow‐up
Prompting no modelling = 30%, prompting and modelling = 14%, modelling ‘control’ group = no loss to follow‐up
Analysis
Not reported if sample size calculation was performed
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk The random sequence generation procedure is unclear. The authors indicate that block randomisation was used to allocate to groups in blocks of 10 participants with conditions changing each week, allocated in order of recruitment
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes Low risk Fruit intake is an objective measure of child’s fruit intake and unlikely to be influenced by performance bias
Blinding of outcome assessment (detection bias)
All outcomes Low risk Fruit intake
All meals were weighed on scientific scales before and after consumption therefore at low risk of detection bias
Incomplete outcome data (attrition bias)
All outcomes High risk Used a per‐protocol analysis rather than an intention‐to‐treat analysis and therefore at high risk of attrition bias
Selective reporting (reporting bias) Unclear risk There is no study protocol therefore it is unclear if there was selective outcome reporting
Other bias Low risk Contamination bias that could threaten the internal validity is unlikely to be an issue

Campbell 2013.

Study characteristics
Methods Study design
C‐RCT
Funding
“National Health and Medical Research Council Grant No. 425801"
Participants Description
First‐time mothers and their infants
N (randomised)
62 parent groups, 542 parent‐child pairs
Age
Child (mean): intervention = 3.9 months, control = 3.9 months
Parent (mean): intervention = 32.5 years, control = 32.1 years
% female
Child: Intervention = 48%, control = 47%
Parent: 100%
SES and ethnicityParent: education levels (has completed university degree or beyond)
Intervention = 52%, control = 57%
Born in Australia
Intervention = 78%, control = 78%
Inclusion/exclusion criteria
Parent groups inclusion criteria: “Parent groups were eligible if ≥8 parents enrolled or ≥6 parents enrolled in areas of low socioeconomic position (SEP) because mothers in areas of low SEP are less likely to attend first‐time parent groups.”
No explicit exclusion criteria stated for this trial
Parents inclusion criteria: “Parents will be eligible to participate if they are able to freely give informed consent, are first‐time parents, members of a participating 'first‐time parents group' and are able to communicate in English.”
Exclusion criteria: “Parents will be excluded from the study if they are unable to give informed consent or are unable to communicate in English. Infants with chronic health problems that are likely to influence height, weight, levels of physical activity or eating habits will be excluded from analyses but will be permitted to participate in the study.”
Recruitment
“A two‐stage random sampling process will be used to select first‐time parent groups. At the first stage, twelve local government areas within a 60 km radius of the research centre (Deakin University in Burwood, Victoria, Australia) will be randomly selected.”
“At the second stage, first‐time parent groups within selected local government areas will be randomly selected, proportional to the total number of first‐time parent groups within each area. The first‐time parents group currently underway will then be invited to participate.”
Recruitment rate
Parent: 86% (542/630)
Region
Melbourne (Australia)
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention = 195, control = 194
Description of intervention
“The dietitian‐delivered intervention comprised six 2‐hour sessions delivered quarterly during the first‐time parents’ group regular meeting.”
The intervention “sought to build knowledge, skills, and social support regarding infant feeding, physical activity, and sedentary behaviors. Messages were anticipatory in nature, such that concepts were presented before the associated child developmental phase.”
“Intervention materials incorporated 6 purpose‐designed key messages (for example, “Color Every Meal With Fruit and Veg,” “Eat Together, Play Together,” “Off and Running”) within a purpose‐designed DVD and written materials. A newsletter reinforcing key messages was sent to participants between sessions.”
Duration
15 months
Number of contacts
6 sessions at 3‐monthly intervals (2 hours per session)
Setting
Parenting group
Modality
Multiple (face‐to‐face, visual and written materials)
Interventionist
Experienced Dietitian
Integrity
“Program fidelity was audited via checklists by researchers attending but not delivering the intervention.” No further information reported
Date of study
June 2008 to February 2010
Description of control
“Control parents received usual care from their MCH nurse, who may have provided lifestyle advice.”
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of fruits and vegetable (grams) assessed using 3 x 24hr recalls (3 days, including 1 weekend day) conducted by trained nutritionists via telephone interview with parents
Outcome relating to absolute costs/cost effectiveness of interventions
Intervention cost per family reported that adjusted “for the fact that a trial setting sees an artificially small number of families included relative to the workforce employed”
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
6 (mid‐intervention) and 15 months (postintervention)
Length of follow‐up postintervention
Immediately
Subgroup analyses
None
Loss to follow‐up (Immediately postintervention)
Intervention = 28%
Control = 28%
Analysis
Adjusted for clustering.
Sample size calculation was performed.
Notes First reported outcome (grams fruit/day) was extracted for inclusion in the meta‐analysis. Sample size per group was not reported and instead calculated based on assumption of equal loss to follow‐up per group, and reported baseline sample per group and total sample for diet outcomes at follow‐up.
Sensitivity analysis ‐ primary outcome: primary outcome not stated, however power calculation was conducted on fruit or vegetable intake
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Randomly allocated to condition using a computer‐generated random number schedule developed by a statistician with no contact with the centres
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes High risk 24‐h dietary recall (parent reported)
Parents were not blinded to group allocation and therefore the risk of performance bias is high
Blinding of outcome assessment (detection bias)
All outcomes High risk 24‐h dietary recall (parent reported)
Parents were not blinded to group allocation and because this is a self‐reported measure the risk of detection bias is high, even though the dietary recalls were administered by telephone by staff blinded to participant’s group allocation
Incomplete outcome data (attrition bias)
All outcomes High risk 389/542 (72%) completed the diet outcomes during this long‐term assessment. However the number and reasons for dropout is not reported by study group and so cannot establish if reasons for dropouts are similar across groups. >20% attrition therefore high risk of bias.
Selective reporting (reporting bias) High risk There are physical activity outcomes referred to in the protocol that are not reported
Other bias Low risk There are no differences in baseline characteristics between trial arms and contamination and other bias unlikely to be an issue

Carney 2018.

Study characteristics
Methods Study design
RCT– cross‐over (as confirmed by the trial author)
Funding
“This project was funded by the USDA National Institute of Food and Agriculture via a Childhood Obesity Prevention Training Grant [#2011670013011], as well as USDA Hatch Act [PEN04565] funds.”
Participants Description
Children aged 4 to 5 years old and their parent
N (randomised)
48 parent‐child dyads
Age
Child (mean): 54.2 months
Parent: not reported
% female
Child: 43%
Parent: 95%
SES and ethnicity
Parents: predominantly white (n = 41), college educated (n = 39) with an annual household income > USD 50,000 (n = 27)
Inclusion/exclusion criteria
No explicit inclusion criteria stated
Exclusion criteria: “children were excluded at screening for not meeting eligibility criteria (i.e. parents reported they would not eat the test meal foods, would not be comfortable in a room without a parent, were taking medication that can affect taste or appetite, etc.)”
Recruitment
“child/parent dyads were screened over the phone based on responses to flyers and advertisements posted on local parent/family websites.”
Recruitment rate
75% (48/64)
Region
Pennsylvania (USA)
Interventions Number of experimental conditions
2
Number of participants (analysed)
44 parent‐child dyads
Description of intervention
“On each of the two visits, children consumed an ad libitum multiitem test meal consisting of macaroni and cheese (175 g), unsweetened applesauce (115 g), 2% milk (240 g), water (465 g), and three servings of microwave‐steamed crinkle cut carrots (40 g each).”
“In the Variety condition, each serving of carrots was seasoned with one of three spice blends (Cinnamon‐Nutmeg‐Ginger, Cardamom‐Cumin‐Allspice, and Garlic‐Black Pepper‐Oregano). In the No Variety condition, carrots were all seasoned with the cinnamon blend, but were served in separate bowls to be consistent in appearance with the Variety condition.”
Duration
1 week
Number of contacts
2 (2‐h) visits
Setting
Lab
Modality
Face‐to‐face
Interventionist
Research assistant
Integrity
No information provided
Date of study
February 2015 to November 2016
Description of control
N/A
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of carrots (grams). “Foods were weighed to the nearest±0.1 g in their serving container just before the meal, and again immediately following the meal. Intake was calculated as the difference between these weights. All food preparation and weighing occurred out of sight from the child or parent.”
Outcome relating to absolute costs/cost‐effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
1 week
Length of follow‐up postintervention
Immediate
Subgroup analyses
None
Loss to follow‐up (at immediate)
Overall = 8% (not reported by group)
Analysis
Unknown if sample size calculation was performed
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Trial author confirmed meal intake order was randomised and counterbalanced between groups but no other detail in manuscript
Allocation concealment (selection bias) Unclear risk No information provided
Blinding of participants and personnel (performance bias)
All outcomes Low risk Personnel and children were not blinded but objective measure of child’s vegetable intake and unlikely to be influenced by performance bias
Blinding of outcome assessment (detection bias)
All outcomes Low risk No blinding but consumption of carrots objectively measured using weight (grams) by trained researcher
Incomplete outcome data (attrition bias)
All outcomes Low risk 8% attrition, no ITT reported. Children were excluded after first visit because child refused to participate and/or would not taste any of the carrots
Selective reporting (reporting bias) Unclear risk Unclear: no protocol, trial registration
Other bias Low risk Contamination bias: cross‐over trial, no risk

Caton 2013.

Study characteristics
Methods Study design
RCT
Funding
"This research has received funding from the European Community’s Seventh Framework Programme (FP7/2007‐3) under grant agreement no. 245012‐HabEat coordinated by Dr Sylvie Issanchou. (INRA, UMR 1324, Centre de Sciences du Gouˆt et de l’Alimentation, F‐21000 Dijon France)."
Participants Description
Children aged 6 to 36 months in private daycare nurseries in West and South Yorkshire, UK
N (randomised)
Unclear: “Of the 108 recruited, fourteen children were excluded due to food allergies (n 3) and for being older than 40 months (n 11). Of the ninety‐four children, six children refused to take part in the study, fifteen were excluded due to lack of attendance at nursery and one was removed for incomplete exposures. Table 2 provides characteristics of the children who took part in the intervention. Out of the potential sample, seventy‐two completed the Study.”
Age
Child (mean): repeated exposure = 24 months, flavour‐flavour learning = 23 months, flavour‐nutrient learning = 24 months
Parent: not reported
% female
Child: repeated exposure = 55%, flavour‐flavour learning = 48%, flavour‐nutrient learning = 68%
Parent: not reported
SES and ethnicity
Unclear, “to ensure good representation of ethnic background and SES we selected nurseries in a variety of different locations in West and South Yorkshire, UK”
Inclusion/exclusion criteria
No explicit inclusion criteria stated for this trial
“All children reported to have any food allergies were excluded from taking part in the investigation.”
Recruitment
“In the first instance, nursery managers were given details of the study to check their interest in the study. If the nursery managers expressed an interest, then the participant information sheets and consent forms were distributed to parents.”
Recruitment rate
Not reported
Region
West and South Yorkshire (UK)
Interventions Number of experimental conditions
3
Number of participants (analysed)
Repeated exposure = 22
Flavour‐flavour learning = 25
Flavour‐nutrient learning = 25
Description of intervention
“Around 2–4 d after the pre‐intervention period, each child was offered one pot (100 g) of artichoke for ten exposures.”
Repeated exposure: “The RE recipe was a basic vegetable puree.”
Flavour‐flavour learning: “For the FFL puree, the chosen unconditioned stimulus was sweetness. The selected sweet ingredient was sucrose.”
Flavour‐nutrient learning: “For the FNL puree, the chosen unconditioned stimulus was a higher energy density. The selected energy‐dense ingredient was sunflower oil, because of its relatively neutral taste.”
Duration
10 days
Number of contacts
10
Setting
Preschool
Modality
Face‐to‐face
Interventionist
Nursery staff
Integrity
No information provided
Date of study
Recruitment took place February to May 2011
Description of control
N/A
Outcomes Outcome relating to children's fruit and vegetable consumption
Consumption of novel vegetable (artichoke) (grams) and changes in intake (grams) between a familiar (carrot) and novel vegetable (artichoke)
“All pots were weighed before and after to determine intake (g) throughout the experiment. Any spillage on tables and bibs were collected after the session and were added back in to the pots before re‐weighing.”
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
Unclear
Length of follow‐up postintervention
5 weeks
Subgroup analyses
None
Loss to follow‐up
Repeated exposure = 27%
Flavour‐flavour learning = 40%
Flavour‐nutrient learning = 46%
Analysis
Unknown if sample size calculation was performed.
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomly allocated to experimental group but the random sequence generation procedure is not described
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes Low risk Vegetable intake (objective)
Objective measure of child’s vegetable intake and staff were blinded to the target vegetable being offered to the children
Blinding of outcome assessment (detection bias)
All outcomes Low risk Vegetable intake (objective)
Food was weighed to determine intake and staff were blinded to the target vegetable being offered to the children
Incomplete outcome data (attrition bias)
All outcomes High risk Of the 72 children taking part in the study 45 (63%) completed the follow‐up and so the risk of attrition bias is high
Selective reporting (reporting bias) Unclear risk There is no study protocol therefore it is unclear if there was selective outcome reporting
Other bias Low risk Contamination bias that could threaten the internal validity is unlikely to be an issue

Cohen 1995.

Study characteristics
Methods Study design
RCT
Funding
“Supported jointly by the Thrasher Research Fund; the World Health Organization; UNICEF/Honduras and the Institute for Reproductive Health (formerly the Institute for International Studies in Natural Family Planning), Georgetown University, under a Co‐operative Agreement with the U.S. Agency for International Development (A.I.D.) (DPE‐3040‐A‐00‐5064‐00 and DPE‐3061‐A‐00‐1029‐00).”
Participants Description
Low‐income, first‐time mothers and their infants
N (randomised)
152 children
Age
Child: infants were randomised at 16 weeks of age
Parent (mean): 20.2 years
% female
Child: 55%
Parent: 100%
SES and ethnicity
Child: “Subjects came from low income neighborhoods in which environmental sanitation was poor (only 60% of the households had indoor piped water).”
Parent: “Mean household income was $120/mo.”
Inclusion/exclusion criteria
Inclusion criteria: “Selection criteria were that mothers be primiparous, willing to exclusively breast‐feed for 26 week, not employed outside the home prior to 6 mo postpartum, low income (less than $150/mo), at least 16 years old and healthy (not taking medication on a regular basis), and that infants be healthy, term, and weigh at least 2000g at birth.”
Exclusion criteria: “Multiparous and working mothers were excluded because the intervention required a 3‐d stay in the La Leche League unit on three occasions to measure breast milk intake.”
Recruitment
Child: “Subjects were recruited from two public hospitals in San Pedro Sula, Honduras”
Hospitals: not reported
Recruitment rate
86% (152/176)
Region
San Pedro Sula, Honduras
Interventions Number of experimental conditions
3
Number of participants (analysed)
Solid foods: 42
Solid foods and maintenance: 39
Exclusive breastfeeding: 42
Description of intervention
Solid foods: introduction of solid foods at 4 months, with breastfeeding as required 4 to 6 months.
Solids foods and maintenance: introduction of solid foods at 4 months, with mothers told to continue breastfeeding as often as they had prior to the intervention.
Exclusive breastfeeding: exclusive breastfeeding to 6 months; no other liquids (water, milk, formula) or solids
In addition all mothers:
1. stayed at the la Leche League unit at 16 weeks for 3‐days and returned to the unit at weeks 21 and 26 weeks for repeated measurements.
2. received weekly home visits during the intervention period to collect data on breastfeeding and infant morbidity.
In the solid food groups these weekly visits also were used to monitor use of the foods provided and encourage mothers in the maintenance group to maintain their pre‐intervention breastfeeding frequency.
Duration
2 months
Number of contacts
13 (10 weekly home visits and 5 hospital visits)
Setting
Home and hospital
Modality
Face‐to‐face
Interventionist
Mothers
Integrity
“To encourage compliance with study procedures, mothers recorded the number of breastfeeds each day from 16 to 26 weeks on a simple form provided weekly. This was especially important for the SF‐M mothers, who were asked to maintain breastfeeding frequency. At 19 and 24 weeks, 12‐hour in‐home observations were conducted to record breastfeeding frequency and duration, and adherence to the feeding instructions.”
Date of study
Recruited from October 1991 to January 1993
Description of control
N/A
Outcomes Outcome relating to children's fruit and vegetable consumption
Consumption of fruit (grams): “the amount of food offered and consumed at the midday meal was measured (using an electronic scale, to the nearest gram)”
Outcome relating to absolute costs/cost‐effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
9 and 12 months
Length of follow‐up postintervention
2.5 and 5.5 months
Subgroup analyses
None
Loss to follow‐up (at 9 and 12 months)
Unclear ‐ states “for a subsample of infants, n=60 at 9 months and n= 123 at 12 months”
Analysis
Unknown if sample size calculation was performed
Notes First reported outcome (frequency of consuming fruit) at 9 months for the < 12 months was extracted for inclusion in meta‐analysis.
Sensitivity analysis ‐ primary outcome: primary outcome not stated, fruit or vegetable consumption was not first reported outcome (first reported outcome was dairy).
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) High risk Quote: "At 16 weekk, subjects were randomly assigned, by week of infant's birth, to one of three groups: 1) control: Exclusive breast‐feeding to 26 week (EBF); 2) Solid Foods: Introduction of solid foods at 16 week (SF), with ad libitum breast‐feeding; or 3) Solid Foods‐M: Introduction of solid foods at 16 week (SF‐M), with mothers told to continue breast‐feeding as often as they had prior to the intervention.”
Allocated to group by week of birth.
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed from those conducting the research.
Blinding of participants and personnel (performance bias)
All outcomes High risk Quote: ”Subjects were not informed of their assignment until they had completed the first 16 week of the study.”
Quote: “All women were visited weekly during the first 4 mo postpartum to assist them in maintaining exclusive breast‐feeding.”
Due to the nature of the intervention, both participants and personnel were aware of group allocation after 16 weeks.
Blinding of outcome assessment (detection bias)
All outcomes High risk Quote: “During the 9‐ and 12‐mo visits, the amount of food offered and consumed at the midday meal was measured (using an electronic scale, to the nearest gram) for a subsample of infants (n = 60 at 9 mo, n = 123 at 12 mo), and their mothers were interviewed regarding the infants' usual daily food intake and acceptance and frequency of consumption of a variety of common foods.”
It is unclear whether outcome assessors visiting the home were aware of group allocation. Mothers self‐reported food intake and acceptance.
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Quote: “Home visits were conducted for a subsample only (total n=141). 9mth n=60; 12 mth n=123.” Unclear if this is actual subsample or if this reflects attrition/non‐response
It is unclear whether the n value for the subsample represents everyone who was eligible (i.e. had infants younger than 12 months prior to May 1993) with 100% consent rate, or if there were refusals.
Selective reporting (reporting bias) Unclear risk There is no trial registration or protocol.
Other bias Low risk Contamination bias that could threaten the internal validity is unlikely to be an issue

Cooke 2011.

Study characteristics
Methods Study design
C‐RCT
Funding
"This research was supported by a grant from the Medical Research Council National Prevention Research Initiative."
Participants Description:
422 children in reception (4 to 5 years) and Year 1 (5 to 6 years) from 16 classes in 8 schools.
N (randomised)
16 classes, 472 children
% female
Child: 47%
Parent: not reported
Age
Child: 4 to 6 years of age. Reception: 4 to 5 years (N = 216). Year 1: 5 to 6 years (N = 206)
Parent: not reported
SES and ethnicity
Uunclear
“To ensure adequate representation of children from families of low socioeconomic status, we selected schools in which the proportions of pupils who were eligible for free school meals, who spoke English as a second language, and who came from minority ethnic backgrounds were above the national average." No individual child data on these variables were reported.
Inclusion/exclusion criteria
Not stated
Recruitment
Recruited from 16 classes in 8 schools (492 children, 472 consented)
Recruitment rate
Child: 96% (472/492)
School: not reported
Region
United Kingdom
Interventions Number of experimental conditions
4
Number of participants (analysed)
Exposure and tangible non‐food reward (sticker) = 91
Exposure and social reward (praise) = 101
Exposure alone = 97
Control = 106
Description of interventions
“Children in the intervention conditions (ETR, EP, EA)* were seen individually from Day 3 to Day 14 and offered a small piece of their target vegetable.”
Exposure + tangible non‐food reward: “Children in the ETR condition were told that if they tasted the vegetable, they could choose a sticker as a reward.”
Exposure + social reward: “Children in the EP condition were praised if they tasted the vegetable (e.g. “Brilliant, you're a great taster”)
Exposure alone: “Children in the EA condition were invited to taste the target vegetable but received minimal social interaction.”
Duration
3 weeks
Number of contacts
12 exposure sessions
Setting
School
Modality
Face‐to‐face, exposure
Interventionist
Trained researchers
Integrity
“Children in the three intervention groups agreed to taste their target vegetable in most sessions"
Exposure and tangible non‐food reward (sticker): mean = 11.34 sessions, SD = 1.45
Exposure and social reward (praise): mean = 10.45 sessions, SD = 1.94;
Exposure alone: mean = 9.97 sessions, SD = 2.87.
“Post hoc analyses showed higher compliance in the ETR condition than in the EP or EA conditions (p < 0.05), and compliance in the latter two conditions did not differ.”
Date of study
Unknown
Description of control
No‐treatment control: “Children in the control group did not receive taste exposure to the target vegetable during the intervention period.”
Outcomes Outcome relating to children's fruit and vegetable consumption
As‐desired consumption of target vegetable (grams). The child was then invited to eat as much of the vegetable as he or she wanted, with intake (in grams) assessed by weighing the dish before and after consumption using a digital scale” (NB. “Care was taken to ensure that children in the ETR condition understood that the sticker reward was no longer available.”)
Length of follow‐up from baseline
Acquisition data: day 15
Maintenance data: 1 month and 3 months later
Subgroup analyses
None
Loss to follow‐up (at 1 month and 3 months follow‐up)
Exposure and tangible non‐food reward (sticker): 7%, 9%
Exposure and social reward (praise): 8%, 5%
Exposure alone: 8%, 8%
Control: 11%, 6%
Analysis
Analysis adjusted for clustering Clustering by school was minimal; therefore, the final analyses adjusted only for clustering by class."
Sample size calculation was performed
"On the basis of evidence that 10 exposures are needed to alter preferences, we decided to repeat all analyses for a restricted subset of children who tasted their target vegetable on at least 10 days (n=365). Because there were no significant differences between the restricted and the full samples, results are reported for the full sample."
Notes Exposure alone vs. control included in the meta‐analysis.
Sensitivity analysis ‐ primary outcome: primary outcome not stated, fruit and vegetable intake second listed outcome after liking
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Contact with the author indicated that the study used blocked randomisation performed using an online randomiser programme.
Allocation concealment (selection bias) Unclear risk Randomisation occurred prior to consent. Head teachers were not aware of group allocation. It is unclear if study personnel knew of allocation.
Blinding of participants and personnel (performance bias)
All outcomes Low risk Contact with the author indicated that personnel were not blind to group allocations and that there was the potential that participants became aware of group allocation. However, given the objective outcome measure, review authors judged that the outcome would not be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
All outcomes Low risk Contact with the author indicated that some, but not all of the outcome assessors were blind to group allocation. The outcome measurement (grams of target vegetable consumed, as measured by a digital scale) was objective and unlikely to have been influenced by lack of blinding
Incomplete outcome data (attrition bias)
All outcomes Low risk Although reasons for missing data were not provided by group, rates of loss to follow‐up were low and similar across all experimental arms of the trial at both follow‐up points (Exposure+sticker = 6.5%, 8.8%; Exposure+praise = 8.2%, 5.0%; Exposure alone = 8.2%, 8.2%; Control = 10.9%, 5.7%, provided by the author). No reasons were reported for loss to follow‐up
Selective reporting (reporting bias) Unclear risk Insufficient information to permit judgement
Trial was registered, but not prospectively (ISRCTN42922680)
Other bias Low risk No further risks of bias identified

Correia 2014.

Study characteristics
Methods Study design
RCT– cross‐over
Funding
"This project was part of a larger study funded by the Robert Wood Johnson Foundation Healthy Eating Research program."
Participants Description
Preschoolers enrolled in a Child and Adult Care Food Programme‐participating childcare centre
N (randomised)
57 children
Age
Child (mean): 4.4 years
Parent: not reported
% female
Child: 35%
Parent: not reported
SES and ethnicity
“Among the children’s racial and ethnic backgrounds, 41.1% were non‐Hispanic black, 37.5% were non‐Hispanic white, 14.3% were Hispanic, and 7.1% were Asian. The median total family income was $33,600 (interquartile range, $19,337–$57,000).”
Inclusion/exclusion criteria
“Preschool children enrolled full time were eligible for participation in the study."
No explicit exclusion criteria stated for this trial
Recruitment
“One large, racially diverse child care center in Connecticut was recruited for participation in the study in 2011.”
Recruitment rate
Child: 79% (57/72)
Region
Connecticut (USA)
Interventions Number of experimental conditions
2
Number of participants (analysed)
Condition 1: the pairing of a vegetable with a familiar, well‐liked food (lunch) = 43
Condition 2: enhancing the visual appeal of a vegetable (snack) = 42
Description of intervention
“Classrooms were randomly assigned to first participate in either the intervention or control condition for lunch (condition 1) and snack (condition 2).”
“The children participated in the second condition one week after the first condition for each meal.”
Condition 1: “Steamed broccoli on top of the pizza”
Condition 2: “Raw cucumbers arranged as a caterpillar with chive antennae and an olive eye.”
Duration
2 days (1 day per condition)
Number of contacts
2 (1 per condition)
Setting
Preschool
Modality
Face‐to‐face
Interventionist
Teachers and researchers
Integrity
No information provided
Date of study
2011
Description of control
Condition 1: “Steamed broccoli on the side of the pizza”
Condition 2: “Raw cucumbers as semicircular half‐slices with chive and an olive on the side.”
Outcomes Outcome relating to children's fruit and vegetable consumption
The two primary outcome measures were:
1. willingness to taste (defined as consumption of 3 grams or more of the test vegetable) and
2. total consumption of the test vegetable (grams)
“Researchers weighed the children’s meals in the center’s cafeteria in accordance with the CACFP‐recommended preschool serving sizes for all meal components before delivering them to the classrooms. After the meal was completed, researchers weighed the plate waste of meal components in the cafeteria. All weights were recorded to the nearest 0.1 g on a digital electronic balance.”
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
< 1 day
Length of follow‐up postintervention
Same day
Subgroup analyses
None
Loss to follow‐up
Condition 1 = 25%, condition 2 = 26%
Analysis
Sample size calculation was performed.
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomly allocated to experimental group but the random sequence generation procedure is not described
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes Low risk Vegetable intake (objective)
Objective measure of child’s vegetable intake and unlikely to be influenced by performance bias
Blinding of outcome assessment (detection bias)
All outcomes Low risk Vegetable intake (objective)
Food was weighed to determine intake, but it is unlikely to be influenced by whether the researchers were blinded to condition
Incomplete outcome data (attrition bias)
All outcomes High risk Of the 57 participants 43 (75%) and 42 (74%) were present for both days of lunch and/or snack data collection respectively. Attrition > 20% for short‐term assessments
Selective reporting (reporting bias) Unclear risk There is no study protocol therefore it is unclear if there was selective outcome reporting
Other bias Low risk Contamination bias that could threaten the internal validity is unlikely to be an issue

Coulthard 2014.

Study characteristics
Methods Study design
RCT
Funding
Funded by a grant from the Feeding for Life Foundation.
Participants Description
Children aged 4 to 6 months old and their parents
N (randomised)
61 parent‐child dyads
Age
Child (mean): overall = 5.18 months, early introduction = 4.50 months, later introduction = 5.91 months
Parent (mean): early introduction = 31.11 years, later introduction 34.07 years
%female
Child: overall = 47%, early introduction = 48%, later introduction = 45%
Parent: 100%
SES and ethnicity
Child: “This is an inner city area with mixed ethnicity and social groups.”
Parent: maternal education (years) Early introduction = 15.96 Later introduction = 15.93 
Inclusion/exclusion criteria
Inclusion criteria: “All infants had to be healthy, full term (38+ weeks), had been breast fed from birth and had been breastfed exclusively until the age of introduction of complementary feeding.” “All mother–infant dyads were recruited if they had stated the intention of weaning at either 4 months (early) or 6 months of age (recommended). In reality some weaned slightly before or after these ages, but they were still included in the study.”
Exclusion criteria: “Infants who had eaten pea (n = 1), were not exclusively breast fed until complementary feeding (n = 5), had been weaned earlier than anticipated (n = 7) or were being weaned directly onto finger foods (baby‐led weaning, n = 3) were excluded.”
Recruitment
“Initially 77 parent and infant dyads were recruited from children’s centres, playgroups and post‐natal groups around the South Birmingham area of the UK.”
Recruitment rate
100%
Region
South Birmingham, UK
Interventions Number of experimental conditions
2
Number of participants (analysed)
60
Description of intervention
Single taste: “Infants in the single taste group were given carrot puree (Ca) every day for 9 consecutive days”
Variety taste: “infants in the variety group were given parsnip (Pa), courgette (Co) and sweet potato (Sp) with daily changes for 9 consecutive days”
Duration
11 days
Number of contacts
11 exposures (9 day home exposure and 2 home test days)
Setting
Home
Modality
Face‐to‐face
Interventionist
Mothers
Integrity
Video tape: “The infants were video recorded at home whilst eating, and researcher weighed the foods to measure intake. The video re‐ cordings were taken to ensure the instructions for feeding the infants was complied with and were consistent across the sample. “
Food diary: “Mothers were asked to record in a food diary how much of each 50 g pot was eaten (as a fraction of the pot consumed), and the infant’s enjoyment of the food on a five point scale (5 = eager, 4 = takes well, 3 = accepts, 2 = slow, 1 = spits out/refuses). This scale was based on a diary measure used in other studies (e.g. Harris & Booth, 1985), and was used to ensure that the infant has successfully had a taste exposure of at least one teaspoonful on each day of the exposure period.”
Date of study
Not reported
Description of control
N/A
Outcomes Outcome relating to children's fruit and vegetable consumption
Vegetable (pea puree) consumption (grams). “The scale used was a Seca 852 digital food scale (accurate to 1 g). The amount of test food provided for each infant was 200 g, to ensure that the infant would not finish the full amount given to get a true reflection of intake. After feeding, the bib was used to wipe any access food from the baby’s face and hands, and this was weighed, along with the spoon, bowl and any remaining, uneaten food. The foods given and procedure for the two experimental groups on these testing days were identical.”
Outcome relating to absolute costs/cost‐effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
10 days
Length of follow‐up postintervention
1 day
Subgroup analyses
By early vs. later exposure to weaning (4 months vs. 6 months). “For intake of the novel vegetable, pea, after the 9 day exposure, there was no main effect age of introduction on pea intake.”
Loss to follow‐up
Overall = 2%, 1/61 (not specified by group)
Analysis
Sample size calculations performed
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Quote: “Randomisation was achieved using a simple number generation technique, with the age of infants being stratified within this method, to ensure a fairly even distribution across the factors.”
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed.
Blinding of participants and personnel (performance bias)
All outcomes Unclear risk Objective measure
There is no mention that the participants and personnel were blinded. The mother fed their infant but it is unclear the extent to which the mother knew that the research was examining vegetable variety (and so knew which condition was in) and so performance bias is unclear.
Blinding of outcome assessment (detection bias)
All outcomes Low risk Objective measure of child’s vegetable intake and unlikely to be influenced by detection bias
Incomplete outcome data (attrition bias)
All outcomes Low risk Loss to follow‐up 2%, low risk of bias
Selective reporting (reporting bias) Unclear risk There is no trial registration or protocol paper, therefore it is unclear if there was selective outcome reporting
Other bias Low risk Intervention delivered at home by individuals, contamination bias unlikely to be an issue

Cravener 2015.

Study characteristics
Methods Study design
RCT
Funding
"College of Health and Human Development (Pennsylvania State University)"
Participants Description
Children aged 3 to 5 years with low vegetable intake
N (randomised)
24 children
Age
Child (mean): intervention = 3.8 years, control = 4.0 years
Parent: not reported
% female
Child: intervention = 50%, control = 50%
Parent: not reported
SES and ethnicity
“The majority of the participants were white (92%)”
Parent: “83.3% of mothers and 82.6% of fathers reported graduating from college and/or graduate school.”
Inclusion/exclusion criteria
Inclusion criteria: children aged 3 ‐ 5 years, categorised as “at risk for obesity” based on family history, defined as having at least one parent with a body mass index > 25 and consuming 2 or fewer servings of vegetables per day (according to parent report)
Exclusion criteria: pre‐existing medical conditions (including relevant food allergies)
Recruitment
“recruited via flyers posted around the university community and in local newspapers and websites (e.g. Craigslist).”
Recruitment rate
Not reported
Region
Pennsylvania (USA)
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention = 12, control = 12
Description of intervention
“children in the treatment group (n=12) received vegetables packaged in containers decorated with their four favorite cartoon characters (selected on the first visit) and granola bars in generic packaging. All vegetable packages contained sticker incentives and children could collect stickers on a special game board and trade them for small prizes at the end of the study. This was done to simulate the concept of promotions that often come with packaged foods. Parents were in charge of deciding when children had eaten enough of a vegetable to be awarded the sticker for their game boards.”
Duration
2 weeks
Number of contacts
Parents were instructed “to offer children a choice between either a vegetable or granola bar for at least three snacks and/or meals per day.”
Setting
Home and lab
Modality
Face‐to‐face
Interventionist
Parents
Integrity
“To assess compliance, parents completed daily checklists across the intervention to report when vegetables and granola bars were offered and record what children selected. In addition, parents could also report additional comments on these checklists to report other concerns or deviations. Parents were also responsible for keeping daily food diaries for children (data to be reported elsewhere). These logs were reviewed with parents during weekly home visits to assess progress.”
Date of study
Recruitment August 2012 to June 2013
Description of control
“children in the control group (n=12) received weekly supplies of generic‐packaged vegetables and granola bars presented as part of a free choice at meals and snacks..”
Outcomes Outcome relating to children's fruit and vegetable consumption
Children’s intake of vegetables (grams), “Intake was measured as the difference between pre‐ and post‐weights of the foods provided.”
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
4 weeks
Length of follow‐up postintervention
1 week
Subgroup analyses
None
Loss to follow‐up
There was no loss to follow‐up
Analysis
Sample size calculation was performed.
Notes First reported outcome (broccoli intake grams/day) at the longest follow‐up (4‐week follow‐up) was extracted for inclusion in meta‐analysis
Sensitivity analysis ‐ primary outcome: fruit or vegetable intake is primary outcome
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Randomly assigned to condition using a random‐number generator.
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes Low risk Outcome group: All/ Children’s vegetable and granola bar intake
Families and researchers were not blinded to condition but it is unlikely that this influenced child consumption
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Outcome group: All/ Children’s vegetable and granola bar intake
Families and researchers were not blinded to condition and it is unclear if this had an impact on the weighing of food. The extent to which parents were compliant with instructions to return all leftovers is unknown
Incomplete outcome data (attrition bias)
All outcomes Low risk Outcome group: All/ 100% retention rate and so risk of attrition bias is very low
Selective reporting (reporting bias) Unclear risk There is no study protocol therefore it is unclear if there was selective outcome reporting
Other bias Low risk Contamination bias that could threaten the internal validity is unlikely to be an issue

Daniels 2014.

Study characteristics
Methods Study design
RCT
Funding
"Research relating to this article was funded 2008‐2014 by two consecutive grants from the Australian National Health and Medical Research Council (426704, APP1021065); HJ Heinz (to KM); Meat and Livestock Australia; Department of Health South Australia; Food Standards Australia New Zealand; and Queensland University of Technology."
Participants Description
First‐time mothers with healthy term infants
N (randomised)
698 mother‐infant dyads
Age
Child (mean): intervention = 4.3 months, control = 4.3 months
Parent (mean): intervention = 30.2 years, control = 29.9 years
% female
Child: intervention = 51%, control = 50%
Parent: 100% female
SES and ethnicity
Parent: education (university degree) = 59%, origin (born in Australia) = 79%, SEIFA Index of Relative Advantage and Disadvantage (relative disadvantage ≤ 7th decile) = 33%
Inclusion/exclusion criteria
Inclusion criteria: “Inclusion criteria were ≥18 years of age, infants >35 weeks gestation, and birth weight ≥2500 g, living in the study cities, facility with written and spoken English”
Exclusion criteria: “Mother‐infant dyads will be excluded if the infant has any diagnosed congenital abnormality or chronic condition likely to influence normal development (including feeding behaviour) or the mother has a documented history of domestic violence or intravenous substance abuse or self‐reports eating, psychiatric disorders or mental health problems.”
Recruitment
“A consecutive sample of first‐time mothers with healthy term infants was approached at seven maternity hospitals”
“Consenting mothers were recontacted for full enrolment when their infant was four (range 2‐7) months old.”
Recruitment rate
16% (698/4376)
Region
Brisbane and Adelaide (Australia)
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention = 266, control = 249
Description of intervention
“The first intervention module started immediately after baseline (children aged 4‐7 months) with the second module commencing 6 months after completion of the first (children aged 13‐16 months). Each module comprised six interactive group sessions (10‐15 mothers per group, total 40 groups) of 1‐1.5 hours duration, co‐facilitated by a dietitian (n=13) and psychologist (n=13). Developmentally appropriate content addressed: (i) repeated neutral exposure to unfamiliar foods combined with limiting exposure to unhealthy foods to promote healthy food preferences and (ii) responsive feeding that recognizes and responds appropriately to cues of hunger and satiety to promote self‐regulation of energy intake to need. A third theme was “feeding is parenting” and positive parenting (encouragement of autonomy, warmth, self‐efficacy).”
Duration
12 months (12 weeks duration for Modules 1 and 2 respectively, with 6‐month gap between Module 1 and 2)
Number of contacts
12 group sessions
Setting
Child health clinics
Modality
Face‐to‐face, group sessions
Interventionist
Co‐facilitated by a dietitian and psychologists
Integrity
No information provided
Date of study
2008 to 2011
Description of control
“The control group had access to universal community child health services, which, at the mother’s initiative, could include child weighing and web‐ or telephone‐based information. An important distinction was that controls did not receive anticipatory guidance but sought advice on a specific problem.”
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of fruits and vegetables, “assessed using a three‐pass 24‐hour dietary recall conducted via telephone by a dietitian trained”
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
20 months and 4.5 years
Length of follow‐up postintervention
6 months and 3.5 years
Subgroup analyses
None
Loss to follow‐up
Intervention = 26%, control = 19%
Analysis
Sample size calculation was performed.
Notes First reported outcome (vegetable intake grams/kg body weight) at the longest follow‐up < 12 months (6 months after intervention completion) and ≥ 12 months (3.5 years after intervention completion) was extracted for inclusion in meta‐analysis.
Sensitivity analysis ‐ primary outcome: primary outcome not stated, however power calculation was conducted on fruit or vegetable consumption
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Randomly assigned to condition using permuted‐blocks randomisation schedule generated by the Institute’s Research Methods Group, which includes this study’s statistician, all of whom will otherwise not be involved in data collection or intervention delivery
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes High risk Outcome group: All/ Food intake records, food preference, feeding behaviour (self‐reported)
There is no blinding to group allocation of participants or personnel described and this is likely to influence performance
Blinding of outcome assessment (detection bias)
All outcomes High risk There is no blinding to group allocation of participants described, and because self‐reported measures at high risk of detection bias
Incomplete outcome data (attrition bias)
All outcomes High risk There was 22% attrition at short‐term follow‐up and dropout was significantly higher in the intervention than the control group
Selective reporting (reporting bias) Low risk The measures reported in the protocol paper align with those reported in the outcome papers
Other bias Low risk Contamination bias that could threaten the internal validity is unlikely to be an issue

De Bock 2012.

Study characteristics
Methods Study design
C‐RCT
Funding
"This work was supported by a grant from the Baden‐Württemberg Stiftung.” “F.D.B. is supported by the European Social Fund and by the Ministry of Science, Research and the Arts Baden‐Württemberg.”
Participants Description
Children aged 3 to 6 years in 18 preschools from 3 south German regions
N (randomised)
18 preschools, 377 children
Age
Child (mean) = 4.26 years
Parent: not reported
% Female
Child: 47%
Parent: not reported
SES and ethnicity
Child: 32.4% came from an immigrant background
Parent: education levels (mother)
Low = 16%, middle = 56%, high = 21%
Inclusion/exclusion criteria
“Pre‐schools were eligible to participate in the study if they were located in one of three predefined regions and had applied to participate in the nutritional intervention module of a state‐sponsored health promotion programme ‘Komm mit in das gesunde Boot’ (‘Come aboard the health boat’), with at least fifteen children participating.”
“Children between 3 and 6 years of age attending one of the participating pre‐schools and participating in the programme were considered eligible for our study.”
No explicit exclusion criteria stated for this trial
Recruitment
Preschools: selected from a group of preschools who had already “applied to participate in the nutritional intervention module of a state‐sponsored health promotion programme.”
Recruitment rate
Child: 80% (377/473)
Preschool: 64% (18/28)
Region
3 regions in Baden‐Württemberg (Germany)
Interventions Number of experimental conditions
2
Number of participants (analysed)
202 children (not reported by group)
Description of intervention
“Intervention activities consisted of familiarizing with different food types and preparation methods as well as cooking and eating meals together in groups of children, teachers and parents. One session additionally focused on healthy drinking behaviours.”
Of the 15 sessions, five actively involved “parents by targeting them alone (discussions on parents’ modelling role and nutritional needs of children) or together with their children.”
“Models for healthy eating within the intervention included: (i) use of nutrition experts; (ii) play acting with ‘pirate dolls’ used as props enjoying fruit and vegetables; (iii) active parental involvement; and (iv) involvement of other pre‐school peers. The exposure effect was taken into account by repeatedly offering healthy snacks like fruit and vegetables and water to the children every week.”
Duration
6 months
Number of contacts
15 sessions (1/week, 2h per session)
Setting
Preschool
Modality
Face‐to‐face
Interventionist
“The intervention was delivered by external nutrition experts”
“Pre‐school group teachers assisted the external nutrition expert during each session to enable them to sustain intervention‐related activities after the study end.”
Integrity
“Implementation rate was high with all modules delivered completely (5.0/5); no session was cancelled.”
“Intervention fidelity was high with the majority of interventions delivered as planned.”
Date of study
2008 to 2009
Description of control
Waiting‐list control, “received the same intervention 6 months later than the intervention arm”
Outcomes Outcome relating to children's fruit and vegetable consumption
Change in child’s consumption of fruits and vegetables (portions/day) assessed using a questionnaire by parent self‐report
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
6 and 12 months
Length of follow‐up postintervention
Immediately and 6 months
Subgroup analyses
None
Loss to follow‐up
“Of 348 pre‐school children, 29.6% completed all three measurements, 51.4% two measurements and 19% one measurement with 58% providing both pre‐ and post‐intervention measurements.” Individual loss to follow‐up data not reported.
Analysis
Sample size calculation was performed.
Analysis was not adjusted for clustering, but justification was provided. “As our data stemmed from natural pre‐school‐bound clusters of children, we first determined the extent of clustering. Intraclass correlation coefficients (ICC) on the level of pre‐schools were 0.016 and 0.014 for the primary outcomes of fruit intake and vegetable intake, respectively. With an average cluster size of 19.5 children per pre‐school, the design effect (d = 1 + (average cluster size ‐1) x ICC) did not exceed 2, allowing us to ignore the issue of clustering in our analyses.”
Notes Sensitivity analysis ‐ primary outcome: fruit or vegetable intake is primary outcome.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomly allocated to experimental group but the random sequence generation procedure is not described
Allocation concealment (selection bias) Low risk Preschool assignment was concealed through the use of sequentially‐numbered, sealed envelopes.
Blinding of participants and personnel (performance bias)
All outcomes High risk Outcome group: All/ Fruit & vegetable intake (parent self‐reported survey)
Due to the nature of the intervention, it was not possible to blind participants or intervention providers and this is likely to influence performance
Blinding of outcome assessment (detection bias)
All outcomes High risk Fruit & vegetable intake (parent self‐reported survey)
Parents were not blinded to group allocation and therefore the risk of detection bias is high
Incomplete outcome data (attrition bias)
All outcomes High risk Of 348 preschool children, 29.6% completed all 3 measurements, 51.4% 2 measurements and 19% 1 measurement, with 58% providing both pre‐ and post‐intervention measurements
Selective reporting (reporting bias) Unclear risk There is no study protocol therefore it is unclear if there was selective outcome reporting
Other bias Unclear risk The design effect did not exceed 2 and so the authors ignored clustering in the analyses. The impact of this on the analyses is unclear

De Coen 2012.

Study characteristics
Methods Study design
C‐RCT
Funding
“The study was commissioned, financed and steered by the Ministry of the Flemish Community (Department of Economics, Science and Innovation; Department of Welfare, Public Health and Family).”
Participants Description
Children attending pre‐primary and primary schools from 6 communities in Flanders, Belgium
N (randomised)
31 schools, 1589 children
Age
Child (mean): intervention = 4.86 years, control = 5.04 years
Parent: not reported
% female
Child: intervention = 47%, control = 55%
Parent: not reported
SES and ethnicity
intervention lower SES = 34%, control lower SES = 29%
Inclusion/exclusion criteria
Not reported
Recruitment
“All pre‐primary and primary schools in the six communities were invited to participate in the study.”
Recruitment rate
Child: 49% (1589/3242)
School: 64% (31/49)
Region
Flanders (Belgium)
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention = 396, control = 298
Description of intervention
“The intervention was based on the ‘Nutrition and Physical Activity Health Targets’ of the Flemish Community clustered into: (i) increasing daily consumption of water and decreasing soft drinks consumption; (ii) increasing daily milk consumption; (iii) increasing daily consumption of vegetables and fruit; (iv) decreasing daily consumption of sweets and savoury snacks; and (v) increasing daily PA and decreasing screen‐time behaviour.”
The community
“Each intervention year, information brochures and posters regarding the five topics of the project were distributed through general practitioners, pharmacists, social services and at relevant community events by the regional health boards and the research team.”
The schools
“All intervention schools were requested to (i) implement five Healthy Weeks per intervention year (one for each cluster of topics) with a minimum 1 h of classroom time dedicated to the topic together with extracurricular activities (e.g. during the vegetables and fruits week only fruits could be brought to school as a snack; schools organized fruit and vegetable tastings), (ii) evaluate and improve their playground and snack and beverage policy, and (iii) communicate with the parents on the programme and distribute materials to the parents. The intervention started with a meeting with the teachers during which they received manuals and guidelines and an implementation plan was discussed.”
The parents
“The intervention materials for the parents were newly developed for the project. The parents received a poster visualizing the target messages and containing short tips regarding parenting practices and styles to encourage children to stick to the healthy eating and PA targets. Parents also received five letters, containing detailed information on the intervention topics and a website link with practical information such as tips and recipes. Based on the FFQ in the parental questionnaire, parents received a written, normative individual tailored advice on their child’s consumption of water, milk, fruits, vegetables, soft drinks and sweet and savoury snacks, and their PA and screen‐time behaviour.”
The regional health boards
“They contacted each school at least twice per year assisting them in selecting relevant intervention materials and supervising the implementation progress.”
Duration
“The intervention was implemented over two school years (2008–2009 and 2009–2010) on different levels.”
Number of contacts
Unclear (multi‐component)
Setting
School
Modality
Multiple (face‐to‐face, educational materials, resources (posters, brochures), letters)
Interventionist
Multiple
Integrity
“Process evaluation data revealed that all schools implemented the requested classroom hour. Regarding the snack and playground policy, it was clear that the requested adjustments asked for more time investment and at the time of observation, most schools did not yet meet up to the standard.”
Date of study
2008 to 2010
Description of control
Not reported
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of fruits and vegetables (grams/day) assessed using a validated 24‐item semiquantitative food frequency questionnaire (FFQ) completed by parents
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
2 years
Length of follow‐up postintervention
Immediately
Subgroup analyses
None
Loss to follow‐up
Overall = 56% (not reported by group)
Analysis
Did not adjust for clustering
Sample size calculation was performed
Notes First reported outcome (fruit consumption grams/day) was extracted for inclusion in meta‐analysis. The reported estimate did not account for clustering, therefore we used postintervention data and calculated an effective sample size using ICC of 0.016 to enable inclusion in meta‐analysis.
Sensitivity analysis ‐ primary outcome: primary outcome not stated, fruit or vegetable intake second listed outcome after BMI
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomly allocated to experimental group but the random sequence generation procedure is not described
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes High risk Outcome group: All/ Fruit and vegetable intake (self‐reported)
There is no blinding to group allocation of participants described and this is likely to influence performance
Blinding of outcome assessment (detection bias)
All outcomes High risk Fruit and vegetable intake (self‐reported)
There is no mention that participants were blinded to group allocation and therefore the risk of detection bias is high
Incomplete outcome data (attrition bias)
All outcomes High risk 694/1589 (44%) completed 2‐year assessment. Long‐term attrition > 30% therefore at high risk of attrition bias
Selective reporting (reporting bias) Unclear risk There is no study protocol therefore it is unclear if there was selective outcome reporting
Other bias High risk High risk of recruitment bias as communities were randomised and then schools within each community were invited to participate
Unclear baseline imbalance as communities differed on nutrition and PA policy, raising awareness for these topics and health promotion expertise

de Droog 2014.

Study characteristics
Methods Study design
RCT (as confirmed by the study author)
Funding
"Grant from The Netherlands Organisation for Scientific Research (NWO)."
Participants Description
Children aged 4 to 6 years from 6 primary schools in both urban and suburban districts in the Netherlands
N (randomised)
160 children
Age
Child: 4 to 6 years (no mean provided)
Parent: not reported
% Female
Child: 49%
Parent: not reported
SES and ethnicity
No explicit data. “The sample consisted of various socioeconomic and cultural backgrounds.”
Inclusion/exclusion criteria
“Only schools without formal fruit and vegetable programs were selected.”
Recruitment
Not reported
Recruitment rate
Not reported
Region
Urban and suburban districts of the Netherlands
Interventions Number of experimental conditions
5
Number of participants (analysed)
Interactive and congruent = 26
Interactive and incongruent = 26
Passive and congruent = 26
Passive and incongruent = 26
Baseline group = 56
Description of intervention
Children were read a picture book in a quiet room near their class. The picture book story described a main character rescuing his friend. The main character in this story is able to rescue his friend only after eating carrots to make him fit and strong.
Passive vs interactive
In the interactive sessions, the storyteller used a reading manual to ask children questions about the story and its characters before, during, and after the session. In the passive sessions, children were not asked any questions, but encouraged to sit quietly and listen.
Congruent vs incongruent
1 book featured a product–congruent character (a rabbit), and the other featured a product–incongruent character (a turtle)
Duration
5 days
Number of contacts
5 sessions
Setting
School
Modality
Face‐to‐face
Interventionist
Female daycare worker
Integrity
No information provided
Date of study
October to December 2011
Description of control
Baseline ‘control’ group “not exposed to the book”
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s proportional consumption of vegetables. “Children’s proportional product consumption was measured by dividing the number of pieces of each food eaten by the total number of pieces of foods eaten, for example: number of carrots eaten/total number of foods eaten.”
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
5 days
Length of follow‐up postintervention
Immediately
Subgroup analyses
None
Loss to follow‐up
There was no loss to follow‐up
Analysis
Unknown if sample size calculation was performed
Notes "Children in the experimental groups were randomly assigned to the four experimental conditions (n = 26 per cell)" whereas the children in the baseline control group were not randomised. Therefore the study was classified as a comparative effectiveness trial and we did not consider the data from the baseline control group
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomly allocated to experimental group but the random sequence generation procedure is not described.
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed.
Blinding of participants and personnel (performance bias)
All outcomes Low risk Vegetable intake:
Objective measure of child’s vegetable intake and unlikely to be influenced by performance bias
Blinding of outcome assessment (detection bias)
All outcomes Low risk Vegetable intake
The experimenter counted the number of pieces of each snack eaten and therefore given it is an objective measure unlikely to be influenced by detection bias
Incomplete outcome data (attrition bias)
All outcomes Unclear risk There is no information about attrition provided
Selective reporting (reporting bias) Unclear risk There is no study protocol therefore it is unclear if there was selective outcome reporting
Other bias Low risk Contamination bias that could threaten the internal validity is unlikely to be an issue

de Droog 2017.

Study characteristics
Methods Study design
RCT
Funding
“This work was supported by a grant from the Dutch Ministry of Health, Welfare and Sport (grant number: 201400117.014.013). The Ministry's sole role was funding, and, thus, was not involved in the design, data collection, data analyses, data interpretation, and writing of the report. None of the authors had a potential conflict of interest.”
Participants Description
Children aged 2 to 3 years in nursery schools in Rotterdam, the Netherlands
N (randomised)
163 children
Age
Child (mean): 2.63 years
Parent: not reported
% female
Child: 48%
Parent: not reported
SES and ethnicity
“The sample consisted of toddlers from mostly low‐SES households with various cultural backgrounds.”Inclusion/exclusion criteria
“Only schools without formal fruit and vegetables programs were selected”
Recruitment
Not reported
Recruitment rate
99% (197/199)
Region
The Netherlands
Interventions Number of experimental conditions
4
Number of participants (analysed)
Passive with puppet: 36
Passive without puppet: 40
Interactive with puppet: 41
Interactive without puppet: 37
Description of intervention
Children were read a picture book “Rabbit’s brave rescue”. The embedded message in the book was that “eating carrots makes you strong”. Reading sessions were conducted in a quiet room within the nursery school during one workweek. The reading sessions were being held in small groups of 3 to 5 toddlers, and took about 10 minutes. Reading was performed either with or without a hand puppet (hand puppets were developed that resembled the physical appearance of the main character in the picture book, ‘Rabbit’). Children allocated to the passive groups (with or without a puppet) were not asked questions during reading time and children allocated to the interactive groups (with or without a puppet) were asked questions during reading time.
Duration
4 days
Number of contacts
4 reading sessions (1 per day)
Setting
Preschool
Modality
Face‐to‐face
Interventionist
Women with pedagogical education
Integrity
The reading sessions were monitored.
Date of study
Recruited in February and March 2015
Description of control
NA
Outcomes Outcome relating to children's fruit and vegetable consumption
Consumption of carrots (proportion): “The proportion of consumed carrots was calculated by dividing the pieces of carrots the child had eaten by the total number of pieces of foods the child had eaten.”
“Proportional scores were used, rather than absolute scores, because the proportional scores take into account the total amount of foods eaten.”
Outcome relating to absolute costs/cost‐effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
4 days
Length of follow‐up postintervention
Immediately
Subgroup analyses
None
Loss to follow‐up
“Children who were absent on the last reading day (n = 34), were excluded from the analyses.”
“The total dropout was evenly spread across conditions.”
Overall: 17% (not specified by group)
Analysis
Unknown if sample size calculation was performed.
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Quote: “On the first day, the storytellers picked up the children from class in order of the name list provided by the school, and randomly assigned them to one of the four reading conditions, ensuring balance in gender.”
No mention of how the randomisation sequence was generated.
Allocation concealment (selection bias) High risk The allocation was done by the person delivering the intervention.
Blinding of participants and personnel (performance bias)
All outcomes Low risk Quote: “For the reading sessions, four women with a pedagogical education were recruited and trained to perform all the different reading styles and puppetry conditions. These storytellers were teamed up with four female experimenters who observed the toddlers during the readings. With each team being allocated to a specific day of the week, all the toddlers in the study were exposed to all the storytellers and observers.”
Those delivering the intervention were aware of group allocation, however this is unlikely to have impacted the outcomes.
Blinding of outcome assessment (detection bias)
All outcomes Low risk Quote: “The experimenter conducting the eating task was blinded to group assignment, because the reading sessions and eating tasks took place in different rooms.”
Incomplete outcome data (attrition bias)
All outcomes High risk Dropouts were 23% at short‐term follow‐up (in text). However in Consort flowchart, it appears that people were excluded prior to randomisation. In the text it says that most were excluded due to not attending on the final measurement day. This sounds like the dropouts should be removed at the analysis/data collection stage.
Selective reporting (reporting bias) Low risk All outcomes are reported as pre‐specified in the trial registration.
Other bias Low risk No other sources of bias identified

de Wild 2013.

Study characteristics
Methods Study design
RCT – cross‐over
Funding
"European Community’s Seventh Framework Programme (FP7/2007‐2013) under the Grant agreement No. 245012‐HabEat."
Participants Description
Preschool‐aged children recruited from 3 daycare centres in Wageningen, the Netherland
N (randomised)
40 children
Age
Child: 21 to 46 months (mean = 36 months)
Parent: not reported
% Female
Child: 50%
Parent: not reported
SES and ethnicity
Not reportedInclusion/exclusion criteria
Inclusion criteria: “Inclusion into the study required presence of the child at the day care‐centre for at least 2 days per week.”
Exclusion criteria: “Participants were screened for food allergies and health problems (as reported by the parents)”
Recruitment
“A total of 40 healthy children aged 2–4 years were recruited from 2 day care‐centres in Wageningen, The Netherlands. Participation was voluntary and parents and day care‐centres were thoroughly informed about the study. Written parental consent was given for the participating children.”
Recruitment rate
Unknown
Region
Wageningen (The Netherlands)
Interventions Number of experimental conditions
2
Number of participants (analysed)
Spinach high energy/endive low energy = 15
Endive high energy/spinach low energy = 13
Description of intervention
“During the intervention period, half of the participants (n = 20) received vegetable soup flavour A low in energy content (LE) consistently paired with vegetable soup flavour B high in energy content (HE), whereas the other half of the participants received the reverse (i.e. flavour A HE + flavour B LE).”
Duration
7 weeks
Number of contacts
14 exposures (twice/week)
Setting
Preschool
Modality
Face‐to‐face
Interventionist
Daycare leaders
Integrity
No information provided
Date of study
Not reported
Description of control
N/A
Outcomes Outcome relating to children's fruit and vegetable consumption
As‐desired consumption of vegetable soup (grams). “Consumption was measured by pre‐ and post‐weighing on a digital scale with a precision of 0.1 g.”
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
8 weeks and 4 and 8 months
Length of follow‐up postintervention
1 week and at 2 and 6 months
Subgroup analyses
None
Loss to follow‐up (at 2 and 6 months)
Overall: 32%, 39% (not specified by group)
Analysis
Sample size calculation was performed.
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomly allocated to experimental group but the random sequence generation procedure is not described
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes Low risk Vegetable intake (objective):
The children and the daycare leaders were blinded to the treatment, i.e. they were unaware which product was high or low in energy and therefore low risk of performance bias
Blinding of outcome assessment (detection bias)
All outcomes Low risk Vegetable intake (objective):
Outcome was pre‐post weight of soup bowl assessed by researcher. Researchers were not blinded to group allocation (as they served the soup (2 x green soups varying in energy intake)) and researcher was not present in room during consumption of soup
Incomplete outcome data (attrition bias)
All outcomes High risk Of 40 eligible children, 12 were excluded from data analysis due to low intake levels during the conditioning period. Of 28 children 17 (61%) completed the 6‐month follow‐up
Selective reporting (reporting bias) Low risk The primary outcomes reported in the paper align with those specified in the trial registration
Other bias Low risk Contamination bias that could threaten the internal validity is unlikely to be an issue

de Wild 2015a.

Study characteristics
Methods Study design
RCT
Funding
"European Community’s Seventh Framework Programme (FP7/2007‐2013) under the Grant agreement No. 245012‐HabEat."
Participants Description
Preschool‐aged children recruited from 3 daycare centres in Wageningen, the Netherlands
N (randomised)
75 children
Age
Child:1.9 to 5.9 years (mean = 3.7 years)
Parent: not reported
% Female
Child: 50%
Parent: not reported
SES and ethnicity
Not reported
Inclusion/exclusion criteria
No explicit inclusion/exclusion criteria. “Participants were screened for food allergies and health problems (as reported by the parents)”
Recruitment
“Parents with children in the targeted age range received an information letter and an invitation to register their child(ren) for participation via the day‐cares. Participation was voluntary and parents and day care‐centres were thoroughly informed about the study.”
Recruitment rate
Child: not reported
Region
Wageningen (The Netherlands)
Interventions Number of experimental conditions
2
Number of participants (analysed)
Choice condition = 34
No‐choice condition = 36
Description of intervention
“Each child was exposed 12 times to six familiar target vegetables at home during dinner, which is the traditional hot meal including vegetables in The Netherlands….the choice group received two types of vegetables from which to choose, or they could choose to eat both vegetables during the meal.”
Duration
12 days
Number of contacts
12
Setting
Home
Modality
Face‐to‐face
Interventionist
Parents
Integrity
No information provided
Date of study
Unknown
Description of control
The no‐choice group received only one type of vegetable per dinner session”
Outcomes Outcome relating to children's fruit and vegetable consumption
“The main outcome of the study was the children’s intake (in gram) of the vegetables. Vegetable intake was measured by weighing their plates before and after dinner (left overs).”
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
12 days
Length of follow‐up postintervention
Immediately
Subgroup analyses
None
Loss to follow‐up
Overall = 6% (not specified by group)
Analysis
Sample size calculation was performed
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomly allocated to experimental group but the random sequence generation procedure is not described
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes Low risk Vegetable intake (objective measure):
Children’s vegetable intake was measured by weighing their plates before and after dinner (left‐overs). There is a low risk of performance bias
Blinding of outcome assessment (detection bias)
All outcomes Low risk Vegetable intake (objective measure):
Children’s vegetable intake was measured by weighing their plates before and after dinner (left‐overs). There is a low risk of detection bias
Incomplete outcome data (attrition bias)
All outcomes Low risk 70/75 (93%) children completed the study and therefore risk of attrition bias is low
Selective reporting (reporting bias) Unclear risk The primary outcomes reported in the paper align with those specified in the trial registration. However in the trial registration the food diary is listed as a secondary outcome but the results are not reported in the outcome paper
Other bias Low risk Contamination bias that could threaten the internal validity is unlikely to be an issue

de Wild 2015b.

Study characteristics
Methods Study design
RCT– semi‐cross‐over
Funding
"European Community’s Seventh Framework Programme (FP7/2007‐2013) under the Grant agreement No. 245012‐HabEat."
Participants Description
Preschool‐aged children recruited from 2 daycare centres in Wageningen, the Netherland
N (randomised)
45 children
Age
Child: 18 to 45 months (mean = 32.6 months)
Parent: not reported
% Female
Child: 49%
Parent: not reported
SES and ethnicity
Not reported
Inclusion/exclusion criteria
No explicit inclusion/exclusion criteria. “Participants were screened for food allergies and health problems (as reported by the parents)”
Recruitment
“recruited from two day‐care centres in Wageningen, the Netherlands. Parents signed an informed consent for their child’s participation.”
Recruitment rate
Not reported
Region
Wageningen (The Netherlands)
Interventions Number of experimental conditions
2
Number of participants (analysed)
26 in total
Parsnip crisps‐tomato ketchup/red beet crisps‐white sauce = 19
Red beets crisps‐tomato ketchup/parsnip crisps‐white sauce = 20
Description of intervention
“Half of the participants received red beet crisps combined with tomato ketchup (TK [C]) consistently paired with parsnip crisps combined with white sauce (WS [UC]). The other half of the participants received the reverse, i.e. red beet crisps + WS(UC) and parsnip crisps + TK(C).”
Duration
7 weeks
Number of contacts
14 exposures (twice/week)
Setting
Preschool
Modality
Face‐to‐face
Interventionist
Daycare leaders
Integrity
No information provided
Date of study
Unknown
Description of control
NA
Outcomes Outcome relating to children's fruit and vegetable consumption
As‐desired consumption of vegetable crisps (grams). “Consumption of crisps and dip sauces were measured by pre‐ and post‐weighing on a digital scale with a precision of 0.1 g.”
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
Post‐test 1: 9 weeks
Post‐test 2: 4 months (2 months after conditioning)
Post‐test 3: 8 months (6 months after conditioning)
Length of follow‐up postintervention:
Post‐test 1: immediate
Post‐test 2: 2 months
Post‐test 3: 6 months after conditioning
Subgroup analyses
None
Loss to follow‐up (at 2 and 6 months)
Overall: 5%, 33% (not specified by group)
Analysis
Unknown if sample size calculation was performed
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomly allocated to experimental group but the random sequence generation procedure is not described
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes Low risk Vegetable crisps intake (objective):
The children were not aware that their intake was measured or which condition they participated in and so the risk of performance bias is low
Blinding of outcome assessment (detection bias)
All outcomes Low risk Vegetable crisps intake (objective):
The outcome was vegetable chip and dip intake (each assessed separately) by weighing amount before and after consumption. It is not clear who (i.e. researchers or daycare centre staff) weighed the chips & dip, and whether or not they were blinded. Blinding of outcome assessors unlikely to influence outcome
Incomplete outcome data (attrition bias)
All outcomes High risk Of the 45 children, 6 were excluded because they had no intake at all of the dip sauces. Of the remaining 39 children, 26 (67%) completed the 6‐month follow‐up. The risk of attrition bias is high
Selective reporting (reporting bias) Unclear risk The trial registration reports a secondary outcome that is not reported in the outcome paper
Other bias Low risk Contamination bias that could threaten the internal validity is unlikely to be an issue

de Wild 2017.

Study characteristics
Methods Study design
RCT
Funding
“The research leading to the results presented here received funding from the European Community’s Seventh Framework Programme (FP7/2007‐2013) under grant agreement no. 245012‐HabEat.”
Participants Description
Children aged 2 to 4 years in 6 day‐care centres in Wageningen, the Netherlands
N (randomised)
103 children
Age
Child: mean age (group)
Plain spinach = 34.5 months
Creamed spinach = 36.1 months
Spinach ravioli = 35.4 months
Green beans = 35.8 months
% female
Child: reported by group
Plain spinach = 50%
Creamed spinach = 52%
Spinach ravioli = 46%
Green beans = 42%
Parent: not reported
SES and ethnicity
Not reported
Inclusion/exclusion criteria
No explicit inclusion/exclusion criteria stated for this trial, “Participants were screened for food allergies and health problems (as reported by the parents).”
Recruitment
Not specified, recruited from 6 child care centres
Recruitment rate
99% (103/104)
Region
Wageningen (the Netherlands)
Interventions Number of experimental conditions
4
Number of participants (analysed)
Plain spinach = 26
Creamed spinach = 25
Spinach ravioli = 26
Green beans = 26
Description of intervention
“Families received a weekly vegetable parcel, including their vegetable product for one meal (main meal), cooking instructions, and a food diary. A standardized weighing scale with a precision of 1 g (Fiesta; Soehnle) was supplied to all participating families together with the first delivery of the vegetable parcel.”
Duration
6 weeks
Number of contacts
6 (once per week)
Setting
Home
Modality
Face‐to‐face
Interventionist
Parents
Integrity
No information provided
Date of study
The study was conducted between September 2014 and January 2015
Description of control
N/A
Outcomes Outcome relating to children's fruit and vegetable consumption
As‐desired intake of plain cooked spinach (grams): “Spinach intake was measured by weighing the bowls before and after lunch (leftovers) on a digital scale with a precision of 0.1 g.”
Outcome relating to absolute costs/cost‐effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
7 weeks
Length of follow‐up postintervention
1 week
Subgroup analyses
None
Loss to follow‐up
“There were no lost to follow up or withdrawals”
Analysis
Sample size calculations performed
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Quote: “Children were randomly assigned to one of the four groups using a four‐block design: green beans (control), plain spinach (pure spinach), creamed spinach (diluted), and spinach ravioli (hidden). Randomization was done by a person who was not involved in study recruitment, enrollment, or assignment of participants.”
No mention of how the randomisation sequence was generated
Allocation concealment (selection bias) Unclear risk There is no mention of allocation concealment.
Blinding of participants and personnel (performance bias)
All outcomes High risk Outcome group primary outcomes – preference and intake
Quote: “Day‐care center staff members were instructed to behave as they usually did and not to alter their daily routine. The researchers were absent while children ate their spinach at lunch, to not disturb the normal daily lunch routine.”
It is unclear whether the day‐care centre staff or researchers were blind to experimental group allocation.
Outcome group: secondary outcomes – intake and liking
Quote: "The products in the plain spinach, creamed spinach, and green beans groups were commercially available (frozen green beans [2.5 kg], frozen chopped spinach [2.5 kg], and frozen spinach a la crème [1 kg]) and were repacked in family portions and delivered frozen via the day‐care centers on a weekly basis.”
It is likely parents knew their experimental group allocation and this could have affected the outcome.
Blinding of outcome assessment (detection bias)
All outcomes High risk Outcome group primary outcomes – preference and intake
Quote: “Spinach intake was measured by weighing the bowls before and after lunch (leftovers) on a digital scale with a precision of 0.1 g (model S‐4001; Denver Instruments, and model Kern‐572; Kern & Sohn).”
It is unclear whether the researchers were blind to group allocation, how the outcome assessment procedure is unlikely to have been impacted.
Outcome group: secondary outcomes – intake and liking
Quote: “Parents weighed the childs vegetable portion before and after the meal to determine vegetable intake.”
“After the main meal, parents completed a food diary, in which information was collected; for example, on deviations from the described procedures, dinnertime, consumption of other meal components, the childs health status, and the childs liking of the vegetables (parents perception and rated on a 9‐point scale (where 1= extremely disgusting and 9= extremely delicious).”
All outcome data was collected by the parents themselves – self‐report
Incomplete outcome data (attrition bias)
All outcomes Unclear risk There were 10 children who had only 1 or 2 data points for intake of the 6 meals, with no reasons reported.
Not enough information reported about the reasons for missing data.
Selective reporting (reporting bias) Low risk All outcomes are reported as pre‐specified in the trial registration.
Other bias Low risk No other sources of bias were identified.

Duncanson 2013.

Study characteristics
Methods Study design
RCT
Funding
“C Collins is supported by a National Health and Medical Research Council Australian Career Development Research Fellowship (#6315005). K Duncanson is supported by a Clinical Education and Training Institute Rural Research Capacity Building Program Grant and New Staff Research Grant (University of Newcastle).”
Participants Description
Parents of children aged 2 to 5 years living in a rural area of New South Wales, Australia
N (randomised)
146 parents
Age
Children (mean): intervention = 4.0 years, control = 4.0 years
Parents: younger than 30 years
Intervention = 34%, control = 17%
30 years or older
Intervention = 66%, control = 83%
% Female
Child: intervention = 47%, control = 48%
Parent: intervention = 100%, control = 99%
SES and ethnicity
Child: Aboriginal = 4%
Parent: Aboriginal = 2%
Education
Secondary = 46%, Tertiary = 55%
Inclusion/exclusion criteria
Inclusion criteria: “Inclusion criteria were eldest child in family ages 2 to 5 years, without a chronic health condition that affected dietary intake.”
Exclusion criteria: “A child was excluded if he or she had a chronic disease, such as coeliac disease or a food allergy that has a significant effect on dietary intake. The eldest child within the eligible age range was selected as the study child for consistency and simplicity.”
Kids were also excluded if they began primary school
Recruitment
“parents of young children were recruited from child care facilities in 5 rural, low socioeconomic localities in NSW, Australia.”
Recruitment rate
81% (146/180)
Region
New South Wales (Australia)
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention = 45, control = 43
Description of intervention
“The intervention involved dissemination of the Tummy Rumbles interactive CD (16) and the Raising Children DVD (17) at baseline in September 2009, accompanied by written instructions for optimal use. The only prompt provided to parents to use the resources was a reminder note delivered by post with the 3‐month follow‐up surveys. To simulate population‐level resource dissemination, further prompting of parents was not conducted.”
“The tummy rumbles interactive nutrition education CD is a self‐directed resource for childcare staff and parents, Raising children is a guide to parenting from birth to 5”
Duration
12 months
Number of contacts
DVD and CD played at parents' leisure, 1 contact from researchers at 3 months by phone
Setting
Home
Modality
DVD/CD
Interventionist
N/A (provision of DVD)
Integrity:
“Intervention group participants were considered to have adhered to the study protocol if they reported using both Tummy Rumbles and Raising Children for at least 1 hour each during the intervention period.”
Date of study:
September 2009 to September 2010
Description of control:
Wait‐list control, A generic nutrition brochure and the Active Alphabet physical activity resource were distributed to the control group to simulate real‐life exposure to control resources and facilitate retention and blinding of the control group. Tummy Rumbles and Raising Children were provided to the control group at trial completion.”
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of fruits and vegetables (servings) assessed using a semi‐quantitative food frequency questionnaire (FFQ), the Australian Toddler Eating Survey (ATES) completed by parents
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
3 and 12 months
Length of follow‐up postintervention
Immediately
Subgroup analyses
None
Loss to follow‐up (at 3 and 12 months)
Intervention = 17%, 40%, control = 24%, 39%
Analysis
Sample size calculation was performed.
Notes First reported outcome (serves fruit/day) at 3‐month follow‐up was for inclusion in the short‐term meta‐analysis and 12 month follow‐up for the ≥ 12 months meta‐analysis. Additional data were provided by the author to allow pooling in meta‐analysis
Sensitivity analysis ‐ primary outcome: primary outcome not stated, power calculation conducted fruit or vegetable intake
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk The random sequence was created by computer‐generated random numbers
Allocation concealment (selection bias) Low risk Allocation was concealed given that sequentially‐numbered unopened returned baseline survey envelopes were matched with computer‐generated random numbers
Blinding of participants and personnel (performance bias)
All outcomes Low risk Participants were blinded to group allocation throughout the trial
Blinding of outcome assessment (detection bias)
All outcomes Low risk Participants were blinded to group allocation throughout the trial. The protocol indicates that assessors of the main outcome measures were blinded to participant group allocation
Incomplete outcome data (attrition bias)
All outcomes High risk Short‐term attrition was 21% and long‐term attrition was 40%. No imputation of missing data was carried out
Selective reporting (reporting bias) Low risk The primary outcomes published in the protocol align with the results reported in the outcomes paper
Other bias Low risk Contamination bias that could threaten the internal validity is unlikely to be an issue

Farrow 2019.

Study characteristics
Methods Study design
RCT
Funding
“British Psychological Society and Aston University.”
Participants Description
Children aged 3 to 6 years old attending preschools and primary schools in the West Midlands, UK
N (randomised)
74 children
Age
Child (mean): intervention (Vegetable Maths Masters) = 4.4, control (Turtle Maths) = 4.3 years of age
Parent: not reported
% female
Child: 50%
Parent: not reported
SES and ethnicity
Not reported
Inclusion/exclusion criteria
Inclusion criteria: “In order to participate in the study children needed to be able to read, write and/or speak in English.”
No explicit exclusion criteria: “Parents and teachers/child caregivers were asked to indicate if any children had allergies to the study foods.”
Recruitment
“Children were recruited from preschools and primary schools in the West Midlands, UK.”
Recruitment rate
Unknown
Region
West Midlands (UK)
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention (Vegetable Maths Masters) = 40, control (Turtle Maths) = 34
Description of intervention
Children played with the Vegetable Maths Masters app which consisted of maths games with real images of vegetables (sweetcorn and carrot)
Duration
1 day
Number of contacts
1
Setting
Preschool and primary school
Modality
Multiple (app game on tablet, face‐to‐face)
Interventionist
Researcher
Integrity
No information provided
Date of study
Unknown
Description of control
Children played with a different maths app called ‘Turtle Maths’ which did not include images of food, but utilised similar counting and adding maths games
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of vegetables (grams). “All foods were presented in pre‐cut standardised bite sized pieces in small bowls and the researcher recorded how many pieces children had eaten (pieces were standardised in size and had been pre‐weighed using Salter digital scales).”
Outcome relating to absolute costs/cost‐effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
< 1 day
Length of follow‐up postintervention
Same day
Subgroup analyses
None
Loss to follow‐up (at same day)
No loss to follow‐up
Analysis
Sample size calculation was performed
Notes Intake post‐play (exposed food) was extracted for inclusion in meta‐analysis
Sensitivity analysis ‐ primary outcome: Primary outcome not stated, fruit and vegetable intake 1st reported outcome
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Quote: “Children were randomly allocated sequentially to one of two conditions”.
Assigned as recruited, unclear what methods used, however no further detail
Allocation concealment (selection bias) Unclear risk Not enough information
Blinding of participants and personnel (performance bias)
All outcomes Low risk Personnel and participants not blinded but objective measure of child’s vegetable intake and unlikely to be influenced by performance bias
Blinding of outcome assessment (detection bias)
All outcomes Low risk Researcher not blinded, objective outcome ‐ grams (pieces) consumed. Unclear if weighed leftovers or if counted pieces. Either way unlikely to influence detection bias
Incomplete outcome data (attrition bias)
All outcomes Low risk No loss to follow‐up, very low risk of bias
Selective reporting (reporting bias) Unclear risk No protocol, trial registration
Other bias Low risk Contamination bias: children then played their game individually on a tablet in a quiet area near to, or in, their usual classroom or play area for 10 min. Unlikely the control group received the intervention game

Fildes 2014.

Study characteristics
Methods Study design
RCT
Funding
"The recruitment of the Gemini cohort was funded by a grant from Cancer Research UK (no. C1418/A7974), and the design and production of the packs used in this study was funded by Weight Concern (registered charity no. 1059686)."
Participants Description
Families with 3‐ to 4‐year‐old children from a larger cohort study (the Gemini study)
N (randomised)
1006 families
Age
Child (mean): intervention = 3.9 years, control = 3.8 years
Parent (mean): intervention = 38.0 years, control = 37.3 years
% Female
Child: intervention = 49%, control = 50%
Parent: not reported
SES and ethnicity
Parent: maternal education reported (below university level)
Intervention = 49%, control = 49%
Inclusion/exclusion criteria
Not specified
Recruitment
“Participants were families with 3‐ to 4‐year‐old children from the Gemini study, a cohort of 2,402 families with twins born during 2007 in England and Wales. Currently active families (n=2,321) were sent information about a study to test a method of increasing children’s acceptance of vegetables”
Recruitment rate
43% (1006/2321)
Region
England and Wales
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention = 98, control = 123
Description of intervention
“The intervention pack contained an exposure instruction leaflet, progress charts, and stickers. The exposure instructions asked parents to offer the child a single very small piece of their target vegetable every day for 14 days, allowing the child to choose a sticker as a reward if they tried it. They were asked to do this separately with each child and outside mealtimes.”
Duration
14 days
Number of contacts
14
Setting
Home
Modality
Face‐to‐face
Interventionist
Parents
Integrity
“Among the 175 returned (89%), the mean number of exposure sessions was 13.8 (range=11 to 14), and children tasted their target vegetables a mean of 12.4 times (range=0 to 14). Children complied with the intervention by trying their target vegetable on an average of 90% (range 0% to 100%) of the exposure days during the experiment phase.”
Date of study
Unknown
Description of control
Received no intervention, “Control families were sent the intervention materials on completion of the study.”
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s intake of the target vegetable (number of pieces). Parents “recorded the number of pieces (including half‐pieces) of vegetable the child ate; this comprised the intake measure.”
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
14 days
Length of follow‐up postintervention
Immediately
Subgroup analyses
None
Loss to follow‐up
Intervention = 68%, control = 68%
Analysis
Unknown if sample size calculation was performed
Notes Mean and SEM were estimated from a study figure using an online resource (Plot Digitizer: plotdigitizer.sourceforge.net) for intervention and control groups at the end of the experimental phase (T3).
Sensitivity analysis ‐ primary outcome: fruit or vegetable intake is listed as primary outcome
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomly allocated to experimental group but the random sequence generation procedure is not described
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes High risk Vegetable intake:
There is no mention that the parents were blinded and they were cutting and offering the pieces to the child and this could have influenced performance
Blinding of outcome assessment (detection bias)
All outcomes High risk Vegetable intake:
There is no mention that the parents were blinded and they were cutting and offering the pieces to the child and so at high risk of detection bias
Incomplete outcome data (attrition bias)
All outcomes High risk 472 (47%) out of the 1006 randomised returned the outcome data sheets and therefore high risk of attrition bias
Selective reporting (reporting bias) Unclear risk There are secondary outcomes reported in the trial registration that are not presented in the outcomes paper
Other bias Low risk Contamination bias that could threaten the internal validity is unlikely to be an issue

Fildes 2015.

Study characteristics
Methods Study design
RCT
Funding
"This research is supported by European Community’s Seventh Framework Programme (FP7/2007‐2013) under the grant agreement no. 245012‐HabEat. The purees offered to participants in this study and the artichoke and peach purees used as a test food were donated by Danone Nutricia Research."
Participants Description
Mothers and their 4‐ to 6‐month‐old infants in the UK, Greece and Portugal
N (randomised)
146 parent‐infant dyads
Age
Child (mean): intervention = 39.0 weeks, control = 38.9 weeks
Parent (mean, at child’s birth): intervention = 33.0 years, control = 32.7 years
% Female
Child: 52%
Parent: 100%
SES and ethnicity
Parent: below university education = 27%
Inclusion/exclusion criteria
“Mothers were eligible to participate if they were over 18 years old at recruitment, they were sufficiently proficient in each country’s respective native language to understand the study materials and their infant was born after 37 weeks’ gestation, without diagnosed feeding problems.”
Recruitment
“Women in the final trimester of their pregnancy and mothers of infants aged less than 6 months were recruited from antenatal clinics (n 327), primary care, paediatricians and hospitals in London (UK), Athens (Greece) and Porto (Portugal) to a larger study exploring children’s fruit and vegetable acceptance during weaning.”
Recruitment rate
45% (146/327)
Region
London (UK), Athens (Greece) and Porto (Portugal)
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention = 71, control = 68
Description of intervention
“In the intervention group, a researcher or health professional explained to the participant: (1) the importance of introducing vegetables early in the weaning process, (2) the beneficial effects of offering different single vegetables each day, (3) the techniques of exposure feeding, (4) interpreting infants’ facial reactions to food and (5) the need for persistence when an infant initially rejects a food.
“five vegetables were selected as the first foods to be introduced. They were asked to offer the five vegetables in a sequence over 15 d as follows: A,B,C,D,E, A,B,C,D,E, A,B,C,D,E and to record progress on a chart provided. For a further 5 d, participants were told to continue to offer vegetables, but in addition, to start to introduce additional age‐appropriate foods.”
Duration
20 days (15 days exposure, 5 days veg plus other foods)
Number of contacts
20 (15 veg feeding exposures, 5 veg plus other food exposures)
Setting
Home or health facility
Modality
Face‐to‐face and leaflet
Interventionist
Parent
Integrity
“Completed intervention charts were returned by 86% of intervention families (UK; 100 % (28/28), Greece; 100 % (16/16), Portugal; 63% (17/27)). Completed charts revealed that over the 15‐d intervention period, parents recorded their infants consuming vegetables on 89% (mean 13·3 (SD 3·0)) of the fifteen possible eating occasions.”
Date of study
February 2011 and July 2012
Description of control
Received no intervention, ‘usual care’
Outcomes Outcome relating to children's fruit and vegetable consumption
Infant consumption of fruits and vegetables (grams). The contents of the jars of fruit and vegetable puree were weighed prior to and following the taste test to calculate the weight of food consumed.
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
1 month
Length of follow‐up postintervention
2 weeks
Subgroup analyses
None
Loss to follow‐up
Intervention = 5%
Control = 4%
Analysis
Sample size calculation was performed.
Notes First reported outcome (vegetable intake) was extracted for inclusion in meta‐analysis.
Sensitivity analysis ‐ primary outcome: fruit or vegetable intake is primary outcome
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Randomised to experimental group using a block randomisation matrix created by an independent statistician
Allocation concealment (selection bias) Unclear risk Allocation was revealed to the researcher, but unclear how or when
Blinding of participants and personnel (performance bias)
All outcomes High risk Infant’s consumption of novel vegetable:
Mothers offered and fed the vegetable to infants. Given the nature of the intervention, parents in the intervention arm were not blinded and therefore this could have influenced performance
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Infant’s consumption of novel vegetable:
The outcome was weighed, but it is not clear who weighed the food (mother who fed the child, or researcher who observed the mother feeding the child). The researcher who was present during outcome assessment was the same researcher who delivered the intervention to the mother. The impact on detection bias is unclear
Incomplete outcome data (attrition bias)
All outcomes Low risk 139/146 (95%) completed the follow‐up and therefore low risk of attrition bias
Selective reporting (reporting bias) Unclear risk There is no study protocol therefore it is unclear if there was selective outcome reporting
Other bias Low risk Contamination bias that could threaten the internal validity is unlikely to be an issue

Fisher 2012.

Study characteristics
Methods Study design
C‐RCT
Funding
“This work was funded by an investigator‐initiated grant to J.O.F. from the Clorox Company, which owns the Hidden Valley, The Original Ranch brand of dressing used in this research. The authors attest to having full scholarly authority over this work and responsibility for the research design and methods, the integrity of the data, the analyses, and the interpretation of the findings.”
Participants Description
Preschool‐aged children in Head Start classrooms and their parent
N (randomised)
155 parent‐child dyads
Age
Child: 3 to 5 years (mean = 4 years)
Parent: not reported
% female
Child: 48%
Parent: not reported
SES and ethnicity
Child: “predominately Hispanic (88%) children”
Parent: “Of participating parents, close to a majority (n=89) reported being married and slightly greater than one‐third (n=51) reported schooling beyond high school.”
Inclusion/exclusion criteria
No explicit inclusion criteria stated for this trial
Exclusion criteria: “Exclusion criteria included severe food allergies and/or other medical conditions (e.g. diabetes) that might influence the ability to participate in an as‐desired snack and absences at 75% or more of the vegetable exposure trials.”
Recruitment
“To achieve a target sample size of 37 children per experimental dip condition, eight preschool classrooms within three Head Start Centers were approached to participate. Parents of 166 children were sent letters to request written consent for their own and their child’s participation in the study.”
Recruitment rate
Parent‐child dyads = 93% (155/166)
Region
Houston, TX (USA)
Interventions Number of experimental conditions
4
Number of participants (analysed)
Plain = 39, Regular = 39, Light = 36, Sauce = 38
142 parents (not specified by group)
Description of intervention
“At each trial, raw broccoli was presented with 2% milk (8 oz [246 g]) to children in the condition to which they were assigned. Children were instructed to eat as much or as little as desired.”
Plain: “broccoli was served without dressing.”
Regular: “broccoli was served with 2.5 oz of a regular ranch‐flavored salad dressing.”
Light: “broccoli was served with 2.5 oz of a reduced‐energy/fat ranch‐flavored salad dressing.”
Sauce: “2.5 oz of the regular dressing was mixed together with broccoli as a sauce”
Duration
7 weeks
Number of contacts
“Thirteen exposure trials (twice per week) took place in children’s classrooms across a 7‐week period.”
Setting
Preschool
Modality
Face‐to‐face
Interventionist
Trained research staff
Integrity
No information provided
Date of study
2008
Description of control
N/A
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of target vegetables (broccoli) (grams) with/without dressing/sauce. “Weights of broccoli, milk, and the salad dressing (except in the plain condition) were recorded to the nearest 0.1 g once a stable reading was indicated using a calibrated, research grade digital electronic balance before and following the snacks. In the sauce condition, broccoli and the dressing intakes were estimated from the amount of the mixture consumed based on the proportionate contributions of each to the total pre‐weight.”
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
7 weeks
Length of follow‐up postintervention
Immediately
Subgroup analyses
None
Loss to follow‐up
Overall = 2% (not specified by group)
Analysis
Adjusted for clustering
Sample size calculation was performed
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk (Authors describe as a quasi‐experimental design although appear to have randomised classrooms).
Randomly allocated to experimental group but the random sequence generation procedure is not described
Allocation concealment (selection bias) Unclear risk (Authors describe as a quasi‐experimental design although appear to have randomised classrooms).
There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes Low risk Vegetable intake (objective):
Objective measure of child’s vegetable intake and unlikely to be influenced by performance bias
Blinding of outcome assessment (detection bias)
All outcomes Low risk Vegetable intake (objective):
Objective measure of child’s vegetable intake and whether those who weighed the food were blinded is unlikely to have an impact on detection bias
Incomplete outcome data (attrition bias)
All outcomes Low risk 152/155 (98%) completed the study and therefore risk of attrition bias is low
Selective reporting (reporting bias) Unclear risk There is no study protocol therefore it is unclear if there was selective outcome reporting
Other bias Unclear risk There is insufficient information about baseline imbalances and whether clustering was adjusted for in the analyses

Forestell 2007.

Study characteristics
Methods Study design
RCT
Funding
“This work was supported by National Institutes of Health grant HD37119. Dr Forestell was the recipient of a Canadian Institutes of Health research postdoctoral fellowship.”
Participants Description
Children aged 4 to 8 months and their mother
N (randomised)
45 mother‐infant dyads
Age
Child (mean): green bean group = 5.6 months, green bean/peaches group = 5.9 months
Parent (mean): green bean group = 32.2 years, green bean/peaches group = 31.6 years
% Female
Child: green bean group = 38%, green bean/peaches group = 52%
Parent: 100%
SES and ethnicity
Parent: years of schooling reported (mean)
Green bean group = 14.7 years, green bean/peaches group = 14.8 years
Inclusion/exclusion criteria
Inclusion criteria: infants had to be born at term, healthy, currently aged between 4 and 8 months and had been weaned to cereal with very little experience with fruits and vegetables.
Recruitment
“….recruited through advertisements in local newspapers, breastfeeding support groups, and the Supplemental Nutrition Program for Women, Infants, and Children in Philadelphia, Pennsylvania.”
Recruitment rate
Not reported
Region
Pennsylvania, USA
Interventions Number of experimental conditions
2
Number of participants (analysed)
Green bean group: 12
Green bean/peaches group: 26
Description of intervention
Green bean group: fed greens beans throughout the 8‐day home exposure period.
Green bean/peaches group: fed greens beans and then within 1 h peaches throughout the 8‐day home exposure period.
Both groups were fed green beans in the lab on days 1 and 2 and peaches on days 11 and 12.
Duration
12 days
Number of contacts
12 exposures (8‐day home exposure and 3 lab exposures/test days)
Setting
Home and lab
Modality
Face‐to‐face
Interventionist
Mother
Integrity
“To increase compliance, telephone contact was made with the mothers, who recorded the time of day and types and quantities of foods and liquids they fed their infants throughout the study. All of the mothers complied with these instructions.”
Date of study
Not reported
Description of control
N/A
Outcomes Outcome relating to children's fruit and vegetable consumption
Consumption of green beans and peaches (grams) assessed by weighing the amount
of the food in the jar before and after consumption
Outcome relating to absolute costs/cost‐effectiveness of interventions
Not reported
Outcome relating to reported adverse events:
Not reported
Length of follow‐up from baseline
12 days
Length of follow‐up postintervention
Immediately
Subgroup analyses
None
Loss to follow‐up
Green bean group: 25%
Green bean/peaches group: 10%
Analysis
Unknown if sample size calculation was performed
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Quote: “Infants were assigned randomly to 1 of 2 treatment groups.”
It is unclear how randomisation occurred.
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed from those conducting the research.
Blinding of participants and personnel (performance bias)
All outcomes Unclear risk Quote: “One group (group GB) was fed green beans, whereas the other (group GB‐P) was fed green beans and then (within 1 hour) peaches throughout the 8‐day home‐exposure period (days 3–10).”
Quote: “To increase compliance, telephone contact was made with the mothers, who recorded the time of day and types and quantities of foods and liquids they fed their infants throughout the study.”
Blinding of outcome assessment (detection bias)
All outcomes High risk Quote: “Mothers fed at their customary pace until the child rejected the food 3 consecutive times or finished 2 jars of food.”
Due to the nature of the intervention, mothers would have been aware of the infant’s group allocation, and this may have impacted the results.
Incomplete outcome data (attrition bias)
All outcomes High risk Quote: “Four infants were excluded from the analyses of green bean acceptance (4/16)and 3 from those of peach acceptance (3/29) because mothers were non‐compliant with test procedures (n=2), infants were sick during testings or exposure (n=2), or infants ate the maximum amount of food offered during their initial exposure (n=3)”
Selective reporting (reporting bias) Unclear risk There is no trial registration or protocol.
Other bias Low risk None identified

Gerrish 2001.

Study characteristics
Methods Study design
RCT
Funding
“Supported by grants HD37119 and HD08428 from the National Institutes of Health and by a grant from the Gerber Companies Foundation. The Gerber Products Company supplied the baby foods used in this study.”
Participants Description
Mothers with healthy, term infants
N (randomised)
48 mother‐infant dyads
Age
Child (mean): carrot group = 4.6 months, potato group = 4.5 months, variety group = 4.8 months
Parent (mean): carrot group = 27.4 years, potato group = 25.4 years, variety group = 29.9 years
% Female
Child: carrot group = 50%, potato group = 50%, variety group = 50%
Parent: 100%
SES and ethnicity
“The racial background of the mothers and their infants was 45.8% African American, 39.6% white, 2.1% Hispanic, and 12.5% other ethnic groups.”
Inclusion/exclusion criteria
Inclusion criteria: non‐smoking mothers, began feeding cereal to their infants in the past month and planned on introducing other solid foods during the next few weeks, and only mothers of formula‐fed infants.
Recruitment
“recruited from advertisements in local newspapers and from Women, Infant and Children programs in Philadelphia.”
Recruitment rate
Not reported
Region
Philadelphia, USA
Interventions Number of experimental conditions
3
Number of participants (analysed)
Carrot group: 16
Potato group: 16
Variety group: 16
Description of intervention
Carrot group: during the home exposure period infants were fed pureed carrots only (the target vegetable).
Potato group: during the home exposure period infants were fed pureed potatoes only.
Variety group: during the home exposure period infants were fed a variety of vegetables that did not include carrots (potato, squash, peas).
All groups were fed pureed carrots in the lab on days 1 and 11.
Duration
11 days
Number of contacts
11 exposures (9 day home exposure and 2 lab exposures/test days)
Setting
Home and lab
Modality
Face‐to‐face
Interventionist
Mothers
Integrity
“To encourage compliance, each mother kept a daily record of what they fed their infants, and daily phone contact was made with each mother during the exposure period.”
Date of study
Not reported
Description of control
N/A
Outcomes Outcome relating to children's fruit and vegetable consumption
Consumption of pureed carrots (grams): assessed by weighing the amount of the food in the jar before and after consumption using a top‐loading balance.
Outcome relating to absolute costs/cost‐effectiveness of interventions
Not reported
Outcome relating to reported adverse events:
Not reported
Length of follow‐up from baseline
11 days
Length of follow‐up postintervention
Immediately
Subgroup analyses
None
Loss to follow‐up
No loss to follow‐up
Analysis
Unknown if sample size calculation was performed
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Quote: “Randomly assigned to one of 3 experimental groups” not enough information reported.
Randomly allocated to experimental group but the random sequence generation procedure is not described.
Allocation concealment (selection bias) Unclear risk No information reported
There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed.
Blinding of participants and personnel (performance bias)
All outcomes High risk Mothers fed their infants and there is no mention of blinding and so high risk of performance bias
Blinding of outcome assessment (detection bias)
All outcomes Low risk Vegetable intake was determined by weighing vegetables and therefore low risk of detection bias.
Incomplete outcome data (attrition bias)
All outcomes Low risk No loss to follow‐up – 16 dyads per group
All participants recruited completed the study and therefore at very low risk of attrition bias
Selective reporting (reporting bias) Unclear risk No trial protocol is available
Other bias Low risk Low risk of other bias

Haire‐Joshu 2008.

Study characteristics
Methods Study design
C‐RCT
Funding
"Funding for this work was provided by National Cancer Institute (R01 CA68398)."
Participants Description
Parents and their children participating in the 'Parents as Teachers' (PAT) programme sites in rural Missouri (USA)
N (randomised)
16 PAT sites, 1658 families
Age
Child: reported age categories
1 to 3 years: intervention = 67%, control = 61%.
4 to 6 years: intervention = 33%, control = 40%
Parent: reported age in categories
< 25 years intervention = 28%, control = 21%
25 to 29 years: intervention = 35%, control = 33%
30 to 34 years: intervention = 21%, control = 24%
35+ years: intervention = 17%, control = 23%
% female
Child: intervention = 47%, control = 49%
Parent: intervention = 99%, control = 98%
SES and ethnicity
Parent: educational attainment reported
Not high school graduate: intervention = 16%, control = 11%. College graduate: intervention = 20%, control = 25%
Household income
< USD 20K: intervention = 30%, control = 25%
USD 20K to 35K: intervention = 30%, control = 25%
USD 35K to 50K: intervention = 13%, control = 18%
USD 50+K: intervention = 28%, control = 32%
Ethnicity ‐ White: intervention = 86%, control = 80%
Inclusion/exclusion criteria
Not specified
Recruitment
"16 PAT programs from rural, southeast Missouri were recruited into the study. Within these sites 2012 families enrolled were assessed for eligibility and willingness to participate by parent educators." PAT is a "parenting and child development program with over 3000 sites across all 50 states and 8 US territories." PAT provides free services on "an annual basis to parents at the time of pregnancy until the youngest child is 3 years of age. However, PAT extends services until the youngest child is 5 years of age in the case of underserved families, defined as single or minority parent homes, those living in poverty or low parent education. In addition, underserved families may receive additional home visits as a means of ensuring complete delivery of the curriculum."
Recruitment rate
Families: 79%
PAT sites: not reported
Region
Rural southeast Missouri (USA)
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention = 605, control = 701
Description of intervention
Intervention families received the standard PAT program plus the 'Hi 5 for Kids' (H5‐KIDS) protocol. "H5‐KIDS was comprised of three components: a tailored newsletter, a series of home visits, and materials for the parent and child, including storybooks."
Computer‐tailored nutrition newsletter
"To develop the tailored newsletter, parents were first formally enrolled in H5‐KIDS and completed a pretest interview. Relevant data was then imported into an in‐house computer‐based tailoring program. Scores were calculated based on FV knowledge and intake, frequency of parental modeling, style of parenting (coercive or non‐coercive), and quality of the home food environment (FV availability). Each newsletter began with a bulleted tailored statement that included the self reported servings of FVs the parent and the child consumed per day. Additional parent data (e.g. FV knowledge, parental role modeling, non‐coercive parenting skills, FV availability) were each uniquely used to individualize messages and describe the themes of each of the four storybook sets the family would receive at their home visits. For example, if participant data indicated a parent did not eat FV in front of their child very often (< 7/week), the tailored messages would emphasize the importance of modeling FV intake in front of the child as a means of improving consumption, and provide relevant examples of how this could be accomplished. The parent was then referred to H5‐KIDS storybooks that provided examples of modeling for the child. In contrast, parents who scored appropriately in each individual area received messages of praise encouraging them to continue their behaviors. Newsletters were mailed to the parent's home at the beginning of the program."
Home visits
"Parent educators delivered four H5‐KIDS home visits, each of which addressed the core program areas (knowledge, parental modeling of FV intake, non‐coercive feeding practices, FV availability). Parent educators then reinforced the core content in subsequent visits. Consistent with the philosophy of the PAT program, each visit provided examples of parent–child activities designed around healthy nutrition, that the parent could use to promote the child's language and cognitive ability, and fine and gross motor skill development (e.g. having the child learn the names and colors of various FV; child assists with selecting a variety of FV for breakfast). As part of each visit, parents also received materials and informational handouts with suggestions for improving feeding practices and the food environment in the home. Consistent with the standard PAT program, each home visit was designed to allow for 60 min of contact."
Sing‐a‐long storybooks with audio cassette
"At each home visit children received a H5‐KIDS sing‐a‐long storybook with audio cassette tape and a coloring book. Each storybook reinforced one of the core areas of the H5‐KIDS program through the use of child friendly characters and appealing storylines presented through songs."
Duration
60 minutes per home visit
Number of contacts
4 H5‐KIDS home visits plus 5 standard PAT home visits
Setting
Home
Modality
Multiple (face‐to‐face, computer‐tailored newsletters and storybooks)
Interventionist
Parent educators who received 4 hours of training on nutrition content and overview of materials
Integrity
"The H5‐KIDS program was delivered in its entirety to 78% of intervention families."
Date of study
2001 to 2006
Description of control
"Parent educators deliver a standardized curriculum via at least five home visits, on‐site group activities and newsletters." ("PAT ... empowers parents ... by encouraging positive parent‐child communication and increasing parents' knowledge of ways to stimulate children's social and physical development.")
Outcomes Outcome relating to children's fruit and vegetable consumption
Child's daily servings of fruits and of vegetables assessed using the Saint Louis University for Kids Food Frequency Questionnaire (SLU4Kids FFQ) administered by parent telephone survey
Length of follow‐up from baseline
Average time to follow‐up was 7 months (range 6 to 11 months)
Subgroup analyses
Normal weight vs overweight children
Loss to follow‐up
Intervention: 15% (+ 5% missing or inconsistent data)
Control: 17% (+ 5% missing or inconsistent data)
Analysis
Analysis was not adjusted, but justification was provided. "There was minimal impact of grouping by site on the principle measures of impact in this study (ICC child fruit and vegetable servings = 0.00095 and ICC parent fruit and vegetable servings = 0.01). Therefore, the analyses did not adjust for group."
Sample size calculation was performed.
Notes The proportion of normal weight vs overweight children not reported, making it difficult to interpret the subgroup analysis. First reported outcome (fruit intake) was extracted for inclusion in meta‐analysis.
Sensitivity analysis ‐ primary outcome: primary outcome not stated, fruit or vegetable intake only reported outcome.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Quote: "A computer generated number table was used for random assignment to intervention or control."
Allocation concealment (selection bias) High risk Quote: "Families enrolled in PAT were assessed for eligibility and willingness to participate by parent educators." Contact with the author indicated that parent educators were aware of site allocation when they were enrolling participants to the trial
Blinding of participants and personnel (performance bias)
All outcomes High risk Study personnel were aware of allocation ‐ "Sites were not blind to assignment." Contact with the author indicated that parent participants completed a consent form which described the activities of their experimental condition, and were therefore unlikely to be blind to allocation. Given the trial outcomes were based on parental report, the review authors judged there was potential for performance bias
Blinding of outcome assessment (detection bias)
All outcomes Low risk Contact with the author indicated that outcome assessors were blind to group allocation
Incomplete outcome data (attrition bias)
All outcomes Low risk Rates of loss to follow‐up (intervention = 15%, control = 17%) and missing/ inconsistent data (intervention = 5%, control = 5%) were similar across groups. No information was provided about reasons for loss to follow‐up
Selective reporting (reporting bias) Unclear risk A subgroup analysis was conducted based on child's weight status (normal vs overweight). "A final limitation of the study is the limited power to definitely assess the impact of the intervention of children within weight status subgroups." It is unclear whether the subgroup analysis was pre‐specified.
Other bias Low risk Rationale provided for not adjusting analysis for clustering.
Quote: "There was minimal impact of grouping by site on the principle measures of impact in this study (ICC child fruit and vegetable servings = 0.00095 and ICC parent fruit and vegetable servings = 0.01). Therefore, the analyses did not adjust for group."
No further risks of bias identified.

Harnack 2012.

Study characteristics
Methods Study design
RCT – cross‐over
Funding
"Funded by a grant from the Robert Wood Johnson Foundation Healthy Eating Research program."
Participants Description
Preschool‐aged children attending a Head Start centre in Minneapolis, Minnesota, USA
N (randomised)
57 children
Age
Child: 2 to 3 years = 51%, 4 to 5 years = 49%
Parent: not reported
% female
Child: not reported
Parent: not reported
SES and ethnicity
Child: Non‐Hispanic African‐American = 76%, Hispanic or Latina/Latino = 6%, Multi‐racial = 13%, American Indian = 4%, Non‐Hispanic White = 2%
Parent: less than high school = 9%, high school graduate = 42%, some college = 49%
Inclusion/exclusion criteria
Not specified
Recruitment
“Children in three preschool classrooms were recruited. A consent form and letter explaining the study was sent to parents.”
Recruitment rate
98% (57/58)
Region
Minneapolis, Minnesota (USA)
Interventions Number of experimental conditions
3
Number of participants (analysed)
Overall = 53
Description of intervention
Fruit and vegetable first: “During the fruit and vegetable first experimental weeks all fruits and non‐starchy vegetables on the lunch menu were served traditional family style five minutes in advance of other menu items. Children were allowed to begin eating the fruit and vegetable items served first, with the remaining menu items (e.g. milk, entrée, side dishes) placed on the tables for traditional family style meal service five minutes following distribution of the first course. All other usual meal service practices remained the same during the fruit and vegetable first experimental condition.”
Provider portioned: “During the provider portioned experimental condition, a plate was prepared for each child that contained a specific quantity of each menu item.”
Duration
“Each condition was implemented for two one‐week periods over the six week period, for a total of two weeks per condition”
Number of contacts
Unclear, each day of the 6‐week period (dependent on how many days children attend)
Setting
Preschool
Modality
Face‐to‐face
Interventionist
Classroom teachers
Integrity
No information provided
Date of study
Not reported
Description of control
Usual ‘control’ meal service: “
"During each day of the control weeks, the usual traditional family style meal service approach to serving lunch meals at the center was followed. During usual lunch meals at the center children are seated around tables, and each food item on the menu is passed around the table from child to child in serving bowls for self‐service.”
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of fruit and vegetable serves (1 cup equivalents).
Study staff trained and certified in conducting lunch observations recorded food intake on a meal observation form. “The lunch observation data were entered into Nutrition Data System for Research (NDSR), a dietary analysis software program.”
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
6 weeks
Length of follow‐up postintervention
Immediately
Subgroup analyses
None
Loss to follow‐up
Overall = 7%
Analysis
Unknown if sample size calculation was performed
Notes Sensitivity analysis ‐ primary outcome: primary outcome not stated, fruit and vegetable intake is the only outcome
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomly allocated to experimental group but the random sequence generation procedure is not described
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes Unclear risk Intake: there is no mention if children were blinded and so it is unclear how this may impact children’s vegetable intake
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Intake: observers made visual estimations of food amounts to determine the amount taken but it is unclear if observers were blinded to condition. Food amounts may not be accurately estimated by observers
Incomplete outcome data (attrition bias)
All outcomes Low risk 3/57 (93%) completed the study and therefore the risk of attrition bias is low
Selective reporting (reporting bias) Unclear risk There is no study protocol therefore it is unclear if there was selective outcome reporting
Other bias Low risk Contamination bias that could threaten the internal validity is unlikely to be an issue

Hausner 2012.

Study characteristics
Methods Study design
C‐RCT
Funding
"The research leading to these results has received funding from the European Community’s Seventh Framework Programme (FP7/2007‐2013) under the Grant Agreement No. FP7‐245012‐HabEat.”
Participants Description
Children aged 2 to 3 years from 5 nurseries in the Copenhagen area and suburbs
N (randomised)
104 children (“from 5 nurseries, involving 17 groups”)
Age
Child (mean): mere exposure group = 27.8 months, flavour‐flavour learning group = 27.5 months, flavour‐nutrient learning group = 30.8 months
Parent: not reported
% female
Child: mere exposure group = 63%, flavour‐flavour learning group = 42%, flavour‐nutrient learning group = 54%
Parent: not reported
SES and ethnicity
Not reported
Inclusion/exclusion criteria
Not reported
Recruitment
“Children aged 2–3 years were recruited for the experiment from five nurseries, involving 17 groups, in the Copenhagen area and suburbs.”
Recruitment rate
Child: not reported
Nursery: not reported
Region
Denmark
Interventions Number of experimental conditions
3
Number of participants (analysed)
Mere exposure group = 20
Flavour‐flavour learning group = 30
Flavour‐nutrient learning group = 21
Description of intervention
Mere exposure group, exposed to unmodified artichoke puree 10 times
Flavour‐flavour learning group, exposed to a sweetened artichoke puree 10 times
Flavour‐nutrient learning group, exposed 10 times to an energy dense artichoke puree with added fat
Duration
4 weeks
Number of contacts
10 exposures
Setting
Preschool
Modality
Face‐to‐face
Interventionist
Nursery staff
Integrity
No information provided
Date of study
Unknown
Description of control
N/A
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of unmodified artichoke puree (grams). “Testing took part in group rooms. The children were seated at tables where they would normally eat their lunch to mimic the natural eating environment. The purées were served in preweighted plastic cups at room temperature. The standard serving size was 100 g for artichoke and 130 g carrot. Intake was measured individually and recorded for all sessions with a precision of 1 g.”
Outcome relating to absolute costs/cost‐effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
5 and 8 months
Length of follow‐up postintervention
3 and 6 months
Subgroup analyses
None
Loss to follow‐up (at 3 and 6 months)
Mere exposure group = 9%, 38%
Flavour‐flavour learning group = 21%, 9%
Flavour‐nutrient learning group = 23%, 46%
Analysis
Adjusted for clustering (ANOVA proc mixed models).
Unknown if sample size calculation was performed.
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomly allocated to experimental group but the random sequence generation procedure is not described
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes Low risk Vegetable intake: objective measure of child’s vegetable intake and unlikely to be influenced by performance bias
Blinding of outcome assessment (detection bias)
All outcomes Low risk Vegetable intake: intake was weighed and therefore it is unlikely that this would be influenced by detection bias
Incomplete outcome data (attrition bias)
All outcomes High risk Of 104 children, 71 (68%) completed the 6‐month follow‐up and therefore at high risk of attrition bias
Selective reporting (reporting bias) Unclear risk There is no study protocol therefore it is unclear if there was selective outcome reporting
Other bias Unclear risk The groups differed in age, but age was included as a covariate to correct for the possible influence on intake. Therefore the risk of other bias is unclear

Heath 2014.

Study characteristics
Methods Study design
RCT ‐ within subject
Funding
“This work was supported by a University of Reading Life Sciences Studentship to the first author.”
Participants Description
Families with children aged between 20 and 24 months
N (randomised)
60 parent‐child dyad
Age
Child (mean): 22 months (range 20‐24 months)
Parent: not reported
% female
Child: 48%
Parent: Not reported
SES and ethnicity
“78% came from a household where at least one parent was educated to graduate level.”“88% of families were white"
Inclusion/exclusion criteria
Not specified
Recruitment
“families with children aged between 20 and 24 months were recruited from the University of Reading’s Child Development Group database”
“Parents were contacted by telephone and given a brief overview of the experiment. If a parent gave consent to their participation, the child was randomly allocated to one of three initial status”
Recruitment rate
100%
Region
UK
Interventions Number of experimental conditions
3
Number of participants (analysed)
57
Description of intervention
Parents were asked whether their child liked, disliked or had not tried each vegetable listed in the Vegetable Liking and Familiarity Questionnaire. For each child, two vegetables were randomly selected from those for which the parent’s responses matched the initial status set to which the child had been assigned; these became the target (exposed) and control (non‐exposed) foods for that child. Parents were sent a picture book about their child’s target vegetable ‐ the books consisted of pictures and information about the target vegetable.
Duration
2 weeks
Number of contacts
14 readings (5 minutes/day, 2 weeks)
Setting
Home and lab
Modality
Face‐to‐face
Interventionist
Parents
Integrity
“the last page contained a tick‐sheet reading record upon which parents were asked to note how many times they looked at the book with their child.”
“According to the reading records provided by parents, children saw their book an average of 14.9 times (SD = 9.9) during the exposure phase”
Date of study
Not reported
Description of control
N/A
Outcomes Outcome relating to children's fruit and vegetable consumption
Consumption of target vegetable they had seen in their book and a non‐exposed control vegetable of the same initial status (proportion): “amount consumed” was coded as a proportion of the portion provided, again using a 5‐point scale (0 = none, 1 = nibble, 2 = less than ½ tsp, 3 = ½ tsp, 4 = whole portion).”
Outcome relating to absolute costs/cost‐effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
14 days (unless rescheduled)
Length of follow‐up postintervention
Immediately
Subgroup analyses
None
Loss to follow‐up
5%
Analysis
Unknown if sample size calculation was performed
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomly allocated to experimental group but the random sequence generation procedure is not described.
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed.
Blinding of participants and personnel (performance bias)
All outcomes Low risk The likelihood of performance bias in relation to vegetable consumption is low, given the children’s age.
Blinding of outcome assessment (detection bias)
All outcomes High risk No blinding. The coder was not blind to the liked/disliked or target/control food on each trial and so high risk of detection bias even though a second blind coder independently coded 20% of the recorded test sessions.
Incomplete outcome data (attrition bias)
All outcomes Low risk There were 57/60 infants who completed the study. Attrition rate < 20% and therefore low risk of attrition bias.
Selective reporting (reporting bias) Unclear risk No trial protocol
Other bias Low risk Low risk of other bias

Hetherington 2015.

Study characteristics
Methods Study design
RCT
Funding
“Funding received through the EC Seventh Framework Programme (FP7/2007‐2013) under the IAPP 230637 “VIVA: V is for Vegetable – Applying Learning theory to increase liking and intake of vegetables”
Participants Description
Mothers with infants under 12 weeks old
N (randomised)
40 mother‐infant dyads (20 intervention, 20 control)
Age
Child (mean): intervention = 4.78 months, control = 4.88 months
Parent (mean): intervention = 33.7 years, control = 30.9 years
% female
Child: 57%
Parent: 100%
SES and ethnicity
Not reported
Inclusion/exclusion criteria
Not reported
Recruitment
“Mothers were recruited from the local community using widespread advertising within mother and baby groups and a recruitment agency.”
Recruitment rate
83% (40/48)
Region
UK
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention = 17, control = 18
Description of intervention
“IG infants received 12 daily exposures to vegetable puree added to milk (days 1–12), then 12 x 2 daily exposures to vegetable puree added to baby rice at home (days 13–24). Then both groups received 11 daily exposures to vegetable puree (days 25‐35). They were each given a pack containing a 35 day diary and all of the equipment and foodstuffs they would need to complete the study. They were informed that breast or formula feeding should continue as normal.”
Duration
24 days
Number of contacts
24 exposures (daily)
Setting
Home and lab
Modality
Face‐to‐face
Interventionist
Parents
Integrity
“Another possible limitation of the study was that most of the intervention was conducted at home. It is then difficult to ensure that instructions were strictly followed.”
Date of study
Recruitment took place between September 2011 and May 2012.
Description of control
“Plain milk and cereal were given to the control group (days 1‐24)”.
Outcomes Outcome relating to children's fruit and vegetable consumption
Consumption of vegetables (grams) measured by “a small set of portable digital pocket scales (MYCO MZ‐100, Dalman) to weigh accurately intakes (i.e. by weighing bottles or bowls before and after each feed) of all feeds consumed across the day.”
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
35 days, 6 months and 18 months
Length of follow‐up postintervention
Immediate, ~5 months and ~17 months
Subgroup analyses
None
Loss to follow‐up (immediate, ~5 months, ~17 months)
Intervention = 15%, 25%, 45%
Control = 10%, 20%, 15%
Analysis
Unknown if sample size calculation was performed.
Notes First reported outcome (vegetable intake grams during laboratory session) at immediate follow‐up was extracted for inclusion in meta‐analysis. Data not reported at ~5 months, and not enough participants to analyse data at ~17 months.
Sensitivity analysis ‐ primary outcome: primary outcome not stated, fruit and vegetable intake first listed outcome in abstract
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Quote: “Mothers were randomised to either the intervention (n = 20) or control group (n = 20) after they had consented to the study and before they had completed any questionnaires.”
No information provided about the randomisation procedure
Allocation concealment (selection bias) Unclear risk No information provided about allocation concealment
Blinding of participants and personnel (performance bias)
All outcomes High risk The participants were aware of whether or not they were adding vegetable puree to milk and rice cereal
No blinding, and the outcome is likely to be influenced by lack of blinding
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Food intake was weighed which would be low risk. However,
Quote: "the researcher and mother made a joint decision on when 3 refusals were reached".
This may have impacted on outcome assessment
Incomplete outcome data (attrition bias)
All outcomes Low risk Quote: “Forty parents provided informed consent for their infants to take part in the study; however, complete data were collected on 36 mother–infant dyads.”
For outcome of vegetable intake grams during laboratory session 17 mothers in the intervention group and 18 mothers in the control group provided data.
Quote: “At 6 months follow‐up, 15 mothers in the IG completed the two feeding sessions, while 16 mothers completed them in the CG (86% return rate).”
Selective reporting (reporting bias) Unclear risk No protocol listing prespecified outcomes
Other bias Low risk Contamination bias that could threaten the internal validity is unlikely to be an issue

Hong 2018a.

Study characteristics
Methods Study design
RCT
Funding
“Phan Y. Hong received summer funding from the University of Wisconsin Oshkosh Office of Faculty Development and Grants to complete this study during the summer months. No external funding was received for the study. The second and fourth author, Matthew Hanson and Shelby Kelso, received some university funding to aid in the study design and data collection of this study.”
Participants Description
Children aged 3 to 5 years old attending 2 preschools (1 Montessori private and 1 traditional public)
N (randomised)
20 children
Age
Child (mean): not reported by group allocation
Site 1 = 4.2 years, site 2 = 3.8 years.
Parent: not reported
% female
Child: not reported by group allocation
Site 1 = 50%, site 2 = 60%.
Parent: not reported
SES and ethnicity
Child: not reported by group allocation
Site 1 = 80% white, site 2 = 70% white
Inclusion/exclusion criteria
Not reported
Recruitment
Not reported
Recruitment rate
Not reported
Region
USA
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention = 9, control = 11
Description of intervention
Children engaged in 3 separate mindfulness activities: energising mindful activities (e.g. grass movement), mindfulness of food and eating (e.g. observe and describe food), and calming mindful activities (e.g. breathing or listening exercises). All children completed 4 energetic‐, 4 eating‐, and 4 calming‐mindfulness‐based activities each week.
Duration
4 weeks
Number of contacts
16 (30 min/day for 4 days each week)
Setting:
Preschool
Modality
Face‐to‐face
Interventionist
Graduate student group leaders
Integrity
Fidelity: “Materials presented by group leaders were scripted for each session to promote uniformity in the intervention delivery across sessions and school research sites. Although group leaders approached the mindfulness and control condition in different ways as highlighted below, in both conditions across all sessions, children engaged in the eating activity for 5 min, and the eating activity always followed the energizing activity and was always followed by the calming activity.”
No other information provided
Date of study
Unknown
Description of control
The control condition mirrored the mindfulness, except during the eating task, the group leader refrained from directing the children to observe and non‐judgmentally describe the food. Instead, the group leader allowed the children to guide the conversation, allowed them to freely talk about the food, and did not redirect them to use non‐judgmental words during the eating period.
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of vegetables (pieces) assessed using self‐report, “children in both the mindfulness and control condition reported on the amount eaten by circling 0, 1, 2, or 3 to indicate pieces consumed.”
Outcome relating to absolute costs/cost‐effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
4 weeks
Length of follow‐up postintervention
Immediate
Subgroup analyses
None
Loss to follow‐up (at 2 and 14 months)
No loss to follow‐up
Analysis
Sample size calculations not performed, “there may be a lack of statistical power due to the small number of children involved in the study”
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Children were randomly assigned to either a mindfulness or control condition within each site.
No more information
Allocation concealment (selection bias) Unclear risk No information
Blinding of participants and personnel (performance bias)
All outcomes Unclear risk Unclear if children were aware of the purpose of the intervention
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Unclear if children were aware of the purpose of the intervention: self‐reported outcome
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Unclear if loss to follow‐up
Selective reporting (reporting bias) Unclear risk No protocol, registration
Other bias Low risk Contamination bias: unlikely children in control received any mindfulness intervention

Hong 2018b.

Study characteristics
Methods Study design
C‐RCT
Funding
Not reported
Participants Description
Children aged 4 to 5 years old enrolled at a private pre‐kindergarten programme in the southeastern USA, and their parents
N (randomised)
6 classrooms, 49 parent/child dyads
Age
Child: reported age (year)
4: intervention = 54.5%, control = 40%
5: Intervention = 45.5%, control = 60%
Parent: reported age group (years)
18 to 24: intervention = 9%, control = 15%
25 to 34: intervention = 41%, control = 30%
35 to 44: intervention = 50%, control = 55%
% female
Child: intervention = 32%, control = 50%
Parent: not reported
SES and ethnicity
Parent: education and marital status reported
Bachelor’s degree/Master’s/PhD: intervention = 68%, control = 50%
Married: intervention = 77%, control = 90%
Inclusion/exclusion criteria
Not reported
Recruitment
“Families were recruited from six classrooms in the pre‐kindergarten program.”
Recruitment rate
Not reported
Region
Southeastern USA
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention = 22 parent/child dyads, control = 20 parent/child dyads
Description of intervention
“All backpacks included a children’s picture book, instructions and supplies for three hands‐on activities, a short parent feedback form about the activities, and a brief letter explaining how to use the backpack.”
“Families in the experimental group received a family backpack focused on eating fruits and vegetables.”
Duration
1‐2 weeks, “Although each family was allowed to keep the backpack for up to 2 weeks, the average amount of time families kept the backpacks was about 7 days, from a Monday afternoon to the following Monday morning.”
Number of contacts
Unclear, unknown used of backpack activities by parent/child
Setting
Home
Modality
Multiple (face‐to‐face, hands‐on activities, written materials)
Interventionist
Parent
Integrity
No information provided
Date of study
Unknown
Description of control
“Families in the control group received a family backpack focused on handwashing, with no nutrition information included.”
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of fruit and vegetables (self‐reported). “Parents reported the number of fruits and vegetables their child typically consumes in a day, using a 6‐point scale (0, 1, 2, 3, 4, and 5 or more).”
Outcome relating to absolute costs/cost‐effectiveness of interventions
Not reported
Outcome relating to reported adverse events:
Not reported
Length of follow‐up from baseline
4 weeks
Length of follow‐up postintervention
2 weeks
Subgroup analyses
None
Loss to follow‐up (at 2 weeks)
Overall = 14% (not specified by group)
Analysis
Unknown if adjusted for clustering
Sample size calculations not performed. “Because of the exploratory nature of this pilot study, a power analysis was not conducted prior to data collection.”
Notes First reported outcome (fruit intake) was extracted for inclusion in meta‐analysis.
Unclear if adjustment was made for clustering; we therefore used postintervention data and calculated an effective sample size using ICC of 0.016 to enable inclusion in meta‐analysis
Sensitivity analysis ‐ primary outcome: Primary outcome not stated, fruit and vegetable intake 1st reported outcome
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Classrooms in 1 building were randomly assigned to the experimental group and classrooms in the other building to the control group using a coin flip. 3 classrooms were randomly selected from each building to participate, using random numbers drawn from a list of all eligible classrooms.
Allocation concealment (selection bias) Unclear risk No information for allocation concealment provided
Blinding of participants and personnel (performance bias)
All outcomes High risk Parents were provided information about the study, unclear if knowledge of other group, may influence reported child consumption (not actual consumption)
Blinding of outcome assessment (detection bias)
All outcomes High risk Unclear if parents were blinded, no description described on information they received. Parent self‐reported survey on fruit and vegetable consumption therefore at high risk
Incomplete outcome data (attrition bias)
All outcomes Low risk 7/49 = 14%, not reported by group, no ITT reported
Quote: “A total of 42 families completed both pre‐ and post‐surveys and were included in the study sample. An additional seven families who did not complete all parts of the study were excluded from data analyses.”
Selective reporting (reporting bias) Unclear risk Unclear, not protocol, registration
Other bias Low risk Recruitment bias (low risk): each classroom was designated a backpack group and circulated over the 12 weeks for children
Baseline imbalance (low risk): independent T tests were conducted to examine demographic differences between the experimental and control groups; no significant differences were found between groups on any demographic measure
Loss of clusters (low risk): no
Incorrect analysis (low risk): not adjusted for clustering. The review auythors adjusted for in the meta‐analysis
Contamination bias (low risk): no

Hunsaker 2017.

Study characteristics
Methods Study design
RCT
Funding
Not reported
Participants Description
Children enrolled in the university‐based preschool during the 2013 to 2014 academic year and their parents
N (randomised)
65 parent‐child dyads
Age
Child (mean): intervention = 5 years, control = 5 years
Parent: not reported
% female
Child: intervention = 38%, control = 64%
Parent: not reported
SES and ethnicity
Parent: monthly income (mean)
Intervention = USD 6100, control = USD 5336 Education
High school: intervention = 0%, control = 3%
Some college: intervention = 0%, control = 6%
Bachelor’s degree: intervention = 45%, control = 55% Graduate degree: intervention = 45%, control 30%
Ethnicity
Non‐Hispanic white: intervention = 84%, control = 94%; Hispanic: intervention = 3%, control = 0%
Asian: intervention = 6%, control = 0%
Biracial: intervention = 6%, control = 6%
Inclusion/exclusion criteria
No explicit inclusion/exclusion criteria stated for this trial, however the children had to be enrolled in the university‐based preschool during academic year 2013 to 2014 and were excluded if they participated in the 2012 to 2013 academic year.
Recruitment
“The parent who self‐identified as most responsible for preparing the child's meals was invited to complete the surveys. Preschool personnel sent an email inviting parents to consent to participate. Consent was obtained through an online survey.”
Recruitment rate
65% (65/100)
Region
USA
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention = 32 parent‐child dyads, control = 33 parent‐child dyads
Description of intervention
Parents received a health report describing their child’s average daily fruit and vegetable consumption along with the guidelines that children should consume 5 fruits and vegetables per day. Parents were also given a standardized set of recommendations for increasing fruit and vegetable intake as well as more comprehensive recommendations for how to increase their child’s fruit and vegetable intake (i.e. a more detailed list of parent behaviours to increase consumption).
Duration
4 weeks
Number of contacts
Parents received one health report
Setting
Home
Modality
Written materials
Interventionist
Preschool personnel provided the report
Integrity
No information provided
Date of study
2013 to 2014 academic year
Description of control
“A delayed intervention group completed the initial baseline assessment but received no intervention until after the completion of the week 4 assessment.”
Outcomes Outcome relating to children's fruit and vegetable consumption
Children’s consumption of fruit and vegetables (servings per day): “Parents of both groups completed the NCI Fruit and Vegetable Screener Questionnaire…. This measure was adapted to ascertain fruit and vegetable consumption over the previous week to allow for more frequent measurement of intake.”
Outcome relating to absolute costs/cost‐effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
4 weeks
Length of follow‐up postintervention
Immediately
Subgroup analyses
None
Loss to follow‐up
There was no loss to follow‐up
Analysis
Unknown if sample size calculation was performed
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Quote: “Participants were randomly assigned to either an intervention (n=32) or a control (n=33) group using a random number generator.”
Unclear how the sequence was generated
Allocation concealment (selection bias) Unclear risk There is no mention of allocation concealment.
Blinding of participants and personnel (performance bias)
All outcomes Unclear risk It is unclear whether those delivering the intervention, or the parents receiving the intervention were aware of their experimental group allocation.
Blinding of outcome assessment (detection bias)
All outcomes High risk Quote: “Parents completed the NCI Fruit and Vegetable Screener Questionnaire as an online survey.”
Child fruit and vegetable consumption assessed via parent self‐report
Incomplete outcome data (attrition bias)
All outcomes High risk Quote: “In study 2, 22.6%, 44.4%, and 14% of combined fruit and vegetable data were missing at times 1, 2, and 3, respectively. Missing values analysis determined that data were missing at random; thus the researchers used full information maximum likelihood estimation.”
Greater than 20% missing data at two time points, with over 40% of data missing at Time 2
Selective reporting (reporting bias) Unclear risk There is no trial registration or protocol paper.
Other bias Low risk No other source of bias was identified.

Keller 2012.

Study characteristics
Methods Study design
RCT
Funding
"Funding for this study came from NIH grant K01DK068008 and a St. Luke's Roosevelt Hospital Pilot Award. Additional support came from the Obesity Research Center Grant"
Participants Description
Healthy children aged 4 to 5 years from diverse ethnic backgrounds
N (randomised)
19 children
Age
Child: 4 to 5 years
Parent: not reported
% female
Child: not reported
Parent: not reported
SES and ethnicity
Unclear, “from diverse ethnic backgrounds.”
Inclusion/exclusion criteria
“All the children were “at risk for obesity,” based on having at least one parent with a BMI≥25 kg/m2, and they had to consume fewer than two servings of F&V per day, based on parental report during a screening phone call.”
Recruitment
Not specified
Recruitment rate
Not reported
Region
Pennsylvania (USA)
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention = 7, control = 9
Description of intervention
“Families in both groups attended weekly, small‐group sessions with the researchers where baseline measures were taken and family‐based nutrition education was delivered.”
Children in the intervention group were “given F&V in containers decorated with their favorite cartoon characters. In addition, a sticker was included inside each decorated container to simulate the practice of premiums used by the food industry; children were allowed to collect these stickers on a game board to cash in for a prize the following week.”
Duration
7 weeks
Number of contacts
Weekly group sessions and offered F&V containers 3 times a day
Setting
Home and Lab
Modality
Face‐to‐face
Interventionist
Parents and researchers
Integrity
No information provided
Date of study
Not reported
Description of control
“Children who were in the control group received F&V in plain plastic containers throughout the study”
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of fruit and vegetables (grams, servings per day). F&V containers were stored by parents throughout the study period and taken back to the lab to be weighed
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
7 weeks
Length of follow‐up postintervention
Immediately
Subgroup analyses
None
Loss to follow‐up
Overall = 16% (not specified by group)
Analysis
Unknown if sample size calculations performed.
Notes First reported outcome (grams vegetables/week) was extracted for inclusion in the meta‐analysis.
Sensitivity analysis ‐ primary outcome: primary outcome not stated, fruit or vegetable intake only outcome reported
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk There is not enough information to determine the sequence generation
Allocation concealment (selection bias) Unclear risk There is not enough information to determine allocation concealment
Blinding of participants and personnel (performance bias)
All outcomes Low risk The outcome is objective consumption of fruit and veg which is unlikely to be influenced by lack of participant and personnel blinding
Blinding of outcome assessment (detection bias)
All outcomes Low risk Objective assessment (weight) of fruit and vegetable consumption therefore low risk
Incomplete outcome data (attrition bias)
All outcomes High risk 16/19 (84%) children completed the 7‐week study, however 3 children were excluded from the analysis. Intention‐to‐treat analysis was not used, therefore high risk of bias
Selective reporting (reporting bias) Unclear risk There is not enough information to determine if there is any reporting bias
Other bias Low risk Contamination bias that could threaten the internal validity is unlikely to be an issue

Kim 2018.

Study characteristics
Methods Study design
C‐RCT
Funding
“there has been no significant financial support for this work that could have influenced its outcome.”
Participants Description
Children aged 2 to 5.5 years with confirmed autism spectrum disorder (ASD) attending applied behaviour analysis (ABA) early intervention agencies for children
N (randomised)
5 agencies, 35 children
Age
Child (mean): intervention = 4.4 years, control = 4.0 years
Parent: not reported
% female
Child: intervention = 15%, control = 7%
Parent: not reported
SES and ethnicity
Not reported
Inclusion/exclusion criteria
“inclusion criteria: 1) aged between two and five and a half years, 2) confirmed ASD diagnosis via parental report, 3) reported no extreme food restrictions or medical conditions impeding any kind of food consumption, and 4) received no additional feeding‐related interventions”
Recruitment
“Participants were recruited via five ABA early intervention agencies for children with ASD located in the metropolitan area of Seoul, Korea.”
Recruitment rate
Child: not reported
Intervention agencies: not reported
Region
Seoul (Korea)
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention = 13, control = 14
Description of intervention
“The exposure program was administered as one of the ABA curriculum activities. The therapists and assistants (hereafter referred to as ‘staff’) were instructed to conduct a 5–10 min activity designed for a one‐week basis, one activity a day, for four days a week. The one‐week activity set—comprising four different activities—was repeated for four weeks in a month until a new one‐week activity set was started the next month.”
“The final program consisted of 24 play activities, grouped into three levels by the degree of exposure, which was determined based on the time of contact, as well as the size and number of the stimuli. Each activity was repeated four times with three different vegetable and the expected time of contact, as well as the number of vegetables, had increased along with the level process.”
Duration
6 months
Number of contacts
96 sessions
Setting
Early intervention agencies
Modality
Face‐to‐face
Interventionist
Therapists and assistants
Integrity
“The first author and an undergraduate research assistant checked treatment fidelity using a 7‐item checklist on a regular basis (twice a week) during agency visits. Interrater agreement for treatment fidelity ranged from 85% to 100%.”
Date of study
Not reported
Description of control
“In this study, the control group received their usual treatment. The training manual was provided to the control group after the completion of this study.”
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of vegetables (pieces) assessed by staff counting the number of pieces consumed
Outcome relating to absolute costs/cost‐effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
6 months
Length of follow‐up postintervention
Immediate
Subgroup analyses
None
Loss to follow‐up (at immediate)
Overall = 23% (8/35)
Analysis
Unknown if adjusted for clustering
Sample size calculation not performed
“The biggest limitation of this study is the small sample size and the selection of participants using convenient sampling method.”
Notes Unclear if adjustment was made for clustering; we therefore used post‐intervention data and calculated an effective sample size using ICC of 0.014 to enable inclusion in meta‐analysis
Sensitivity analysis ‐ primary outcome: primary outcome not stated, fruit and vegetable intake 3rd reported outcome (after touch, taste)
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Agencies were randomly assigned to either the exposure or control
No further information provided
Allocation concealment (selection bias) Unclear risk No information provided
Blinding of participants and personnel (performance bias)
All outcomes Low risk Objective measure of child’s vegetable intake and unlikely to be influenced by performance bias
Blinding of outcome assessment (detection bias)
All outcomes Low risk The experimenter recorded the number of pieces of each food item taken by the child and it is unlikely that this would be influenced by detection bias
Incomplete outcome data (attrition bias)
All outcomes High risk Overall loss to follow‐up is: 8/35 (23%), no ITT reported
Selective reporting (reporting bias) Unclear risk Unclear, no protocol, trial registration
Other bias High risk Recruitment bias (low risk): the parents were blind to the group assignment to avoid confounding variables
Baseline imbalance (high risk): from demographic table appears to be no imbalance between groups. However, in table 3 the consumption of vegetable in the exposure group looks significantly higher which trial authors don’t report accounting for
Loss of clusters (low risk): all clusters analysed
Incorrect analysis (low risk): no clustering adjustment reported. The review authors adjusted for in the meta‐analysis
Contamination bias (low risk): agencies at different locations

Kling 2016.

Study characteristics
Methods Study design
C‐RCT– cross‐over
Funding
“Supported by NIH Grant R01‐DK082580 and USDA National Institute for Food and Agriculture Grant 2011‐67001‐30117 Program A2121‐Childhood Obesity Prevention: Transdisciplinary Graduate Education and Training in Nutrition and Family Sciences”
Participants Description
Children aged 3 to 6 years enrolled in 3 childcare centres near University Park, Pennsylvania
N (randomised)
11 classrooms, 31 children
Age
Child (overall mean): 4.4 years
Parent: not reported
% Female
Child: 49%
Parent: not reported
SES and ethnicity
Child: “The sample of children was 69% white, 21% Asian, 3% black or African American, and 7% of mixed or another race; 4% were of Hispanic or Latino origin.”
Parent: “Based on the 106 parents (88%) who provided family information, household incomes and education levels were above average: 69% of households had an annual income of above $50,000 and 92% of mothers and 90% of fathers had a Bachelor's degree or higher.”
Inclusion/exclusion criteria
Inclusion criteria: children had to be enrolled in participating childcare centres
Exclusion criteria: children with an allergy or intolerance to the foods or milk being served
Recruitment
“Children were recruited by giving letters to parents with 3‐ to 6‐year‐old children enrolled at three childcare centers near University Park, PA.”
Recruitment rate
Child: not reported
Childcare centre: not reported
Region
Pennsylvania, USA
Interventions Number of experimental conditions
6
Number of participants (analysed)
Overall = 120
Description of intervention
Across the 6 meals (groups), all foods and milk were served at 3 levels of portion size (100%, 150%, or 200% of reference amounts) and 2 levels of energy density (100% or 142%) and were consumed ad libitum”
“The experimental meal consisted of chicken (grilled breast or breaded nuggets), macaroni and cheese, a green vegetable (broccoli or peas), applesauce, ketchup, and milk.”
Duration
6 weeks
Number of contacts
6 (1 meal/week)
Setting
Preschool
Modality
Face‐to‐face
Interventionist
Teachers and undergraduate research assistants
Integrity
No information provided
Date of study
“enrolled in the study from May 2013 to July 2014.”
Description of control
N/A
Outcomes Outcome relating to children's fruit and vegetable consumption
Consumption of vegetables (grams): “To determine the amount consumed, all foods and beverages were weighed before and after the meal in a separate room out of the children's view. Food weights were recorded to the nearest 0.1 g using digital scales”
Outcome relating to absolute costs/cost‐effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
6 weeks
Length of follow‐up postintervention
Immediately
Subgroup analyses
None
Loss to follow‐up
Overall 8% (11/131)
Analysis
Unknown if adjusted for clustering
Sample size calculations performed
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Quote: “The order of the six conditions was counterbalanced across classrooms using Latin squares, and classrooms were randomly assigned one of the condition sequences using a random number generator.”
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed from those conducting the research.
Blinding of participants and personnel (performance bias)
All outcomes Low risk Quote: “Neither parents nor children informed about the purpose of the study.”
Quote: “During each meal, adults, including teachers and undergraduate research assistants who did not know the purpose of the study, were instructed to redirect conversations about food‐related topics to minimize peer influence on children's lunch intake.”
Blinding of outcome assessment (detection bias)
All outcomes Low risk Quote: “During each meal, adults, including teachers and undergraduate research assistants who did not know the purpose of the study”
Researchers who weighed all food and drink before and after the meal. Researchers were blinded to the purpose of the study.
Incomplete outcome data (attrition bias)
All outcomes Low risk Quote: ”A total of 131 children from 11 classrooms at the 3 childcare centers were enrolled in the study from May 2013 to July 2014. Eleven children were excluded from the analysis because they were absent for 3 or more of the 6 experimental meals. Thus, intake data was analyzed for 120 children (61 boys and 59 girls).”
No attrition is reported.
Selective reporting (reporting bias) Low risk All proposed outcomes in trial registry are reported.
Other bias Low risk No other bias was identified

Kobel 2019.

Study characteristics
Methods Study design
C‐RCT
Funding
“The kindergarten‐based health promotion programme “Join the Healthy Boat” and its evaluation study was financed by the Baden‐Württemberg Foundation (grant number BWS_1.479.00_2009)”
Participants Description
Children attending kindergartens in southwest Germany
N (randomised)
57 kindergartens, 973 children
Age
Child (mean): both groups = 3.6 years
Parent: not reported
% female
Child: intervention = 44%, control = 53%
Parent: not reported
SES and ethnicity
Migration background (%)
Intervention = 31%, control = 37%
Inclusion/exclusion criteria
Kindergarten: “Only kindergartens which have not previously taken part in the programme were included in the study.”
Children: “Children within the recruited kindergartens were eligible if they were between three and five years old at the time of baseline measurements and their parents provided a signed consent form.”
Recruitment
“Participating kindergartens were recruited from all kindergartens in southwest Germany, which have received written information about programme and study, asking interested kindergarten teachers to participate.”
Recruitment rate
Child: not reported
Kindergarten: not reported
Region
Southwest Germany
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention = 318, control = 240
Description of intervention
“Join the Healthy Boat” is a Kindergarten‐based, teacher centered health promotion programme which aims at a healthy lifestyle of kindergarten children and supports among others the prevention of overweight and obese children.””The three key topics of the programme are the promotion of physical activity, the reduction of screen media consumption, and a more healthy diet including the reduction of sweetened drinks and an increased fruit and vegetable intake.”
Intervention materials included activities and games, lessons, family homework, materials for parents and instructional and behavioural education materials for teachers
Duration
1 year
Number of contacts
Unclear, multilevel multicomponent programme
Setting
Kindergarten
Modality
Multiple (face‐to‐face, written materials, educational resources, family homework, parental resources)
Interventionist
Teachers
Integrity
No information provided
Date of study
Autumn 2016 to Autumn 2017
Description of control
“the control group followed the regular kindergarten life with no contact during that year.”
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of fruits and vegetables (portions/day) assessed using a parental questionnaire based on the German Health Interview and Examination Survey for Children and Adolescents (KiGGS)
Outcome relating to absolute costs/cost‐effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
1 year
Length of follow‐up postintervention
Immediate
Subgroup analyses
None
Loss to follow‐up (at immediate)
Overall: 43% (415/973)
Analysis
Unknown if adjusted for clustering
Sample size calculation performed
Notes Unclear if adjustment was made for clustering; we therefore used post‐intervention data and calculated an effective sample size using ICC of 0.015 to enable inclusion in meta‐analysis
Sensitivity analysis ‐ primary outcome: fruit or vegetable intake is primary outcome as in trial registry
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk From protocol ‐ "to ensure a similar number of children in intervention and control group, stratification of randomisation was carried out on three levels on the basis of kindergarten size, that is, kindergartens with ≤ 15 participating children, with 16–25 participating children, and with > 25 participating children"
No further information about sequence generation process
Allocation concealment (selection bias) Unclear risk No information provided
Blinding of participants and personnel (performance bias)
All outcomes High risk Teachers were not blinded. Materials were also provided to the parents in the intervention group. Child intake parent‐reported, likely to influence performance
Blinding of outcome assessment (detection bias)
All outcomes High risk Does not report if parents were aware of intervention allocation, child intake parent‐reported, likely to influence detection bias
Incomplete outcome data (attrition bias)
All outcomes High risk 43% loss to follow‐up, no ITT reported
Selective reporting (reporting bias) High risk Change in variables for nutrition (consumption of sugar‐sweetened beverages, fruit, vegetables, high‐calorie food; all variables are ordinal), change in child’s time spent with screen media, change in child’s physical activity/energy expenditure (physical activity: dichotomous, energy expenditure: continuous variables), change in health knowledge and attitude of parents and kindergarten teachers (nominal/ordinal variables)
Trial authors did not report high‐calorie food, energy expenditure or parent outcomes
Other bias Unclear risk Recruitment bias (unclear risk): schools were randomised and then parents asked for consent, although unclear if parents were made aware of allocation
Baseline imbalance (unclear risk): some baseline imbalance, accounted for in the follow‐up analysis
Loss of clusters (low risk): no loss of clusters
Incorrect analysis (low risk): not adjusted for clustering. The review authors adjusted for in the in meta‐analysis.
Contamination bias (low risk): group allocation different schools

Kristiansen 2019.

Study characteristics
Methods Study design
C‐RCT
Funding
“The Research Council of Norway (project number 228452) with supplementary funds from the Throne Holst Nutrition Research Foundation, University of Oslo, supported this work.”
Participants Description
Preschool children with year of birth 2010 and 2011, attending public or private kindergartens in the counties of Vestfold and Buskerud, Norway
N (randomised)
73 kindergartens, 633 children
Age
Child: year of birth (both groups)
2010 = 52%, 2011 = 48%
Parent: not reported
% female
Child: intervention = 51%, control = 52%
Parent: not reported
SES and ethnicity
Parent: high education (college/university)
Intervention = 67%, control = 70%
Inclusion/exclusion criteria
Inclusion/exclusion criteria not explicitly stated. Kindergartens: public or private with at least 10 children attending who were born in 2010 or 2011, excluded family‐based Kindergartens. Parents: able to read and write Norwegian and have access to the internet
Recruitment
“All regular kindergartens (n 479) in the two counties were invited by letter followed‐up by a phone call”
Parental consent obtained (approach not specified)
Recruitment rate
Child: 39% (633/1631)
Kindergarten: 15% (73/479)
Region
Vestfold and Buskerud (Norway)
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention = 137, control = 160
Description of intervention
Multiple intervention components aimed to improve children’s vegetable consumption both at home and in the kindergarten focused at influencing availability, accessibility, encouragement and role modelling. Each kindergarten received a 1‐day inspirational course, which included practical training, theoretical session, action plans, materials and resources (both practical and written) for kindergarten and families, and access to a website and closed Facebook group.
Duration
6 months
Number of contacts
Unclear (1‐day workshop, resources, website and Facebook group, booster activities)
Setting
Kindergarten and home
Modality
Multiple (face‐to‐face, materials/resources, online)
Interventionist
Multiple: cook, principal investigator, postdoc/PhD, kindergarten staff
Integrity
Fidelity: “it is also likely that there was considerable variation in how the intervention was implemented.”
Date of study
September 2015 to February 2016
Description of control
“The control kindergartens and families continued as normal for the duration of the study and participated only by providing data, however they were offered access to the intervention website resources in September 2017.”
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of vegetables assessed using 24‐h recall when at home (completed by parents) and direct observation when in kindergarten
Outcome relating to absolute costs/cost‐effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
12 months
Length of follow‐up postintervention
2 to 4 months
Subgroup analyses
None
Loss to follow‐up (at 2 to 4 months)
Intervention: 56%
Control: 50%
Analysis
Adjusted for clustering
Sample size calculation performed
Notes Estimates adjusted for clustering so entered "total vegetable amount (grams/day)” from Table 2 as first reported outcome
Sensitivity analysis ‐ primary outcome: primary outcome was vegetable consumption
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk An external statistician conducted a stratified block randomisation in order to produce an equal distribution of kindergartens within ownership (public and private) in the 2 groups and total number of participating children in each group.
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed.
Blinding of participants and personnel (performance bias)
All outcomes High risk There is no indication whether participants were blind to group allocation and researchers were not blinded to intervention group. Given the nature of the intervention, at high risk of performance bias.
Blinding of outcome assessment (detection bias)
All outcomes High risk Child vegetable frequency and variety (parent self‐reported survey)
There is no mention that participants were blinded to group allocation and therefore the risk of detection bias for this parent self‐reported measure is high.
Incomplete outcome data (attrition bias)
All outcomes High risk 50% of children in the control group and 56% in the intervention group were lost to follow‐up, no ITT reported
Selective reporting (reporting bias) Low risk The outcomes reported align with those listed in the trial registration.
Other bias Unclear risk Recruitment bias (low risk): participants were recruited prior to randomisation
Baseline imbalance (unclear risk): significantly more children in the intervention group attended a public kindergarten than children in the control group. Children in the intervention group had a significantly higher frequency and variety of vegetable intake at baseline compared to children in the control group. However these baseline imbalances were accounted for in the analysis.
Loss of clusters (low risk): no loss of clusters reported
Incorrect analysis (low risk): adjusted for clustering
Contamination bias (low risk): kindergartens were stratified and randomised to condition so risk of contamination is low.

Lanigan 2017.

Study characteristics
Methods Study design
RCT ‐ cross‐over
Funding
“This project was funded by a Washington State University College of Agricultural, Human, and Natural Resource Sciences Research Initiative for Human Sciences Grant.”
Participants Description
Children aged 3 to 6 years in 2 early childhood education centres located in the Northwestern USA
N (randomised)
98 children
Age
Child: overall = 55 months (not specified by group)
Parent: not reported
% female
Child: overall = 51% (not specified by group)
Parent: not reported
SES and ethnicity
Child: 67% were white
Parent: “from middle‐ to upper‐income homes (51% earned > $74,000/y), with highly educated parents (67% from homes with parents who had a bachelor’s degree or higher).”
Inclusion/exclusion criteria
Not specified
Recruitment
Teachers: “Teachers who volunteered to have their classroom participate in the study received a $100 gift card (n = 5).”
Parents: “A letter and consent form were sent to all families (n = 121) of children in participating classrooms.”
Recruitment rate
Child: 81% (98/121)
Region
Northwestern USA
Interventions Number of experimental conditions
2
Number of participants (analysed)
87
Description of intervention
“Two days per week during the 6‐week intervention, trained RAs [research assistants] operated a tasting station in the classroom. The children who participated in the intervention visited the tasting station individually and were offered 1 food to taste.”
“On the CCNP + RE (child‐centered nutrition phrases + repeated exposure) day, the RA integrated the food‐specific phrases into the conversation 2 times as the tasting was conducted”
“On the RE day, the RA engaged in general non−food related conversation.”
Duration
6 weeks
Number of contacts
12 (twice/week)
Setting
Preschool
Modality
Face‐to‐face
Interventionist
Trained research assistants
Integrity
No information provided
Date of study
Unknown
Description of control
N/A
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of vegetables (grams). “The researchers measured food intake by the child using a plate waste assessment method. Food containers were weighed (in grams) after the meal to determine intake”
Outcome relating to absolute costs/cost‐effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
6 and 10 weeks
Length of follow‐up postintervention
Immediate and 1 month
Subgroup analyses
None
Loss to follow‐up (at immediate and 1 month)
Overall = 11%
Analysis
Sample size calculation not performed
“The small sample likely limited the power of the study to detect differences.”
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Randomly assigned to condition using a coin toss
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed.
Blinding of participants and personnel (performance bias)
All outcomes Low risk Objective measure of child’s healthful food consumption and unlikely to be influenced by performance bias
Blinding of outcome assessment (detection bias)
All outcomes Low risk Food was weighed to determine consumption and it is unlikely to be influenced by whether the researchers were blinded to condition.
Incomplete outcome data (attrition bias)
All outcomes Low risk Of 98 families who agreed to participate 87 children completed the study (88%), no ITT reported
Selective reporting (reporting bias) Unclear risk There is no study protocol therefore it is unclear if there was selective outcome reporting.
Other bias Low risk Cross‐over design, low risk of contamination bias

Lee 2015.

Study characteristics
Methods Study design
C‐RCT
Funding
This paper was supported by the BK21 Plus project (Global Creative Psychology and Psychology).
Participants Description
Children aged 1 to 4 years attending 4 children’s homes in the metropolitan area, South Korea
N (randomised)
58
Age
Child (mean): 2.62 years, range = 1 to 4 years
Parent (mean): intervention = 31.20 years, control = 30.95 years
% female
Child: overall = 55%, intervention = 50%, control = 59%
Parent: not reported
SES and ethnicity
Parent: Korean Socioeconomic ranking based on annual income (million won: 1 = < 10, 2 = 10 ‐ 29, 3 = 30 ‐ 49, 4 = 50 ‐ 69, 5 = > 70), intervention = 3.22, control = 3.10
Inclusion/exclusion criteria
Inclusion: “Children aged 1 to 4 years old who attended four children’s homes in the metropolitan areas”
Exclusion: “children who already consumed more than 90% of the vegetables before the program were deemed not suitable for the study”
Recruitment
"Before the experiment began, a consent form explaining the purpose of the study was passed on to the child's parents through the children's teachers and data collected only from children with parental consent."
Recruitment rate
Not reported
Region
Seoul, South Korea
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention = 24, control = 23
Description of intervention
“Program was conducted using rotating three of the 10 vegetables each week, and vegetables used for program was delivered to Children’s home each Monday.”
“Through the exposure program in this study, the participants were able to experience using real vegetables by play activities, touching vegetables and smelling vegetables.”
Duration
6 months
Number of contacts
48 exposures (from 14 exposure programmes delivered twice a week, for 6 months)
Setting
Preschool
Modality
Face‐to‐face
Interventionist
Teachers
Integrity
“To ensure that the teachers proceeded with the program the same as they were taught for six months, the researchers visited the children's home twice a month to film the program, and then one researcher and one research assistant saw the video taken and confirmed the program fidelity (treatment fidelity) through the checklist. The checklist consists of a total of five questions, designed to determine whether the program is performed on the date, whether the supplies are used, whether the program is selected, whether it is timely, and whether the program is recorded (e.g. did you perform the program assigned to the date?). The observer‐to‐observer consensus on teacher program fidelity was 100%, and teachers performed 85‐100% consistent with the manual.”
Date of study
2013 to 2014
Description of control
No intervention, normal classroom activities
Outcomes Outcome relating to children's fruit and vegetable consumption
Vegetable intake “Each vegetable was cut by 1 g to make it easier for the child to pick up and consume, and a total of 30 g per 5 pieces of vegetables was served.”
“The child's intake was used as an average of two measures, and the maximum intake of the child was 30 per session, and the minimum intake was 0.”
Outcome relating to absolute costs/cost‐effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
6 months
Length of follow‐up postintervention
Immediately
Subgroup analyses
None
Loss to follow‐up
Overall = 19%
Analysis
Sample size calculation was not performed
Unclear if adjusted for clustering
Notes Unclear if adjustment was made for clustering; so we used postintervention data and calculated an effective sample size using ICC of 0.014 to enable inclusion in meta‐analysis
Sensitivity analysis ‐ primary outcome: primary outcome not stated, fruit or vegetable first outcome reported
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk The authors state that children were randomly allocated according to which house they went to, but how the random sequence was generated is not specified
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes Low risk There is no mention that the participants were blinded to group allocation, but children were able to eat independently and so low risk of performance bias
Blinding of outcome assessment (detection bias)
All outcomes Low risk Objective
Observers recorded vegetable intake consumed by the child by counting the number of pieces consumed. It is unlikely to be influenced by detection bias
Incomplete outcome data (attrition bias)
All outcomes Low risk 11/58 (19%) completed the 6‐month follow‐up assessment (< 20%)
Selective reporting (reporting bias) Unclear risk There is no study protocol, so it is unclear if there was selective outcome reporting
Other bias Low risk Recruitment bias (low risk): Before the experiment began, a consent form explaining the purpose of the study was passed to the child’s parents, so it appears that participants were recruited before randomisation
Baseline imbalance (low risk): There were no significant differences between groups at baseline
Loss of clusters (low risk): No evidence of loss of clusters
Incorrect analysis (low risk): There is no mention that clustering has been adjusted for in the analysis. The review authors adjusted for it in the meta‐analysis.
Contamination bias (low risk): Groups at different locations, so unlikely the control group received the intervention

Martinez‐Andrade 2014.

Study characteristics
Methods Study design
C‐RCT
Funding
Not reported
Participants Description
Children aged 2 to 5 years at 4 primary care clinics and their parent
N (randomised)
4 primary care clinics, 306 children
Age
Child (mean): intervention = 40.1 months, control = 41.1 months
Parent (mean): intervention = 29.3 years, control = 29.5 years
% female
Child: 47%
Parent: not reported
SES and ethnicity
Parent: no schooling = 0.3%, primary school = 8.9%, junior high = 33.7%, high school = 39.3%, professional school = 12.5%, postgraduate = 1.7%
Inclusion/exclusion criteria
Inclusion criteria: “Participants comprised children aged 2 to < 5 years of age whose BMI (calculated as weight in kilograms divided by height in meters squared) was above the median for age and sex (BMI z‐score 0 ‐ 3); who attended one of the participating IMSS clinics during the recruitment period for pediatric care, vaccination, or accompanying a family member; and whose parent or caregiver gave written consent to participate.”
Exclusion criteria: “Families were excluded if they planned to move residences or change primary care clinics during the study period; the child had motor limitations (e.g. physical disability or delay); or required a special diet by medical indication.”
Recruitment
“The project manager approached the directors of the 6 primary care clinics in Mexico City with the greatest proportion of preschoolers (approximately 5% children < 5 years) to request their support for the project.”
Recruitment rate
Child = 10% (306/3095) (using number of participants approached as denominator)
Primary care clinic = 67% (4/6)
Region
Mexico City
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention = 99, control = 102
Description of intervention
Intervention participants received a 6‐week curriculum focused on obesity awareness and prevention. 5 aspects dealt with throughout the 6 sessions: 1) dietary culture, risk‐benefit practices; 2) the process of feeding acquisition/preparation/service/eating behaviours; 3) physical activity habits; 4) importance of weighing/measuring oneself and its meaning; 5) feedback and evaluations
Duration
6 weeks
Number of contacts
6 sessions (2‐h session)
Setting
Primary care clinics
Modality
Face‐to‐face, group sessions
Interventionist
Nutritionist, nurse and health educator
Integrity
Delivery of intervention: “To ensure fidelity, a small group of study staff (nutritionist, nurse and health educator) administered all intervention sessions and completed all screening, baseline and follow‐up assessments. No quantitative measure of delivery of intervention components”
Attendance: “Only 52% (88 of the 168 who agreed to participate) attended ≥ 1 educational session (405 sessions attended in total). The total number of expected attendances at educational sessions was 1008 (168 participants attending 6 sessions each). Thus, compliance in the intervention group was 40% (405/1008) of total expected attendances. However, of the 88 receiving any intervention content, 67% (59/88) attended 5‐6 of the intended 6 workshops”
Date of study
March 2012 to April 2013
Description of control
Usual‐care control ‐ received no intervention
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of fruits and vegetables (servings per week), “staff assisted parents in completing a child Food Frequency Questionnaire (FFQ) adapted from the FFQ used to assess dietary intake among 1‐4 year old children in the 2006 Mexican National Nutrition Survey.”
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
3 and 6 months
Length of follow‐up postintervention
1½ and 4½ months
Subgroup analyses
None
Loss to follow‐up (at 1 ½ and 4 ½ months)
Intervention = 41%, 35%, control = 26%, 26%
Analysis
Adjusted for clustering
Unknown if sample size calculation was performed
Notes First reported outcome (fruit servings/week) at the longest follow‐up < 12 months (3 months after intervention completion ‐ as 6‐months follow‐up did not report retention values by group) was extracted for inclusion in meta‐analysis
The reported estimate which adjusted for clustering assessed change from baseline, we therefore used postintervention data and calculated an effective sample size using ICC of 0.016 to enable inclusion in meta‐analysis
Sensitivity analysis ‐ primary outcome: fruit or vegetable intake listed as primary outcome
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk A computer‐generated randomisation list designed by a statistician with no connection to the intervention was used for random allocation to experimental group
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes High risk Child dietary intake (parent‐reported):
Quote: “Only after informed consent did participants learn of their treatment assignment”.
There is no blinding to group allocation of participants at follow‐up described and this is likely to influence performance
Blinding of outcome assessment (detection bias)
All outcomes High risk Child dietary intake (parent reported):
Quote: “Only after informed consent did participants learn of their treatment assignment”.
There is no blinding to group allocation of participants at follow‐up described and because self‐reported measures were used this is likely to influence detection bias
Incomplete outcome data (attrition bias)
All outcomes High risk Quote: “Non‐participation was greater in the intervention (75 (45%) of 168 participants) than in the usual care (42 (30%) of 138 participants) arm (Figure 1).”
Attrition rate was high with >35% of families not completing follow‐up at 3 months. Multiple imputations were performed to address missing data however non‐participation was greater in the intervention than in the usual care condition
Selective reporting (reporting bias) Low risk The primary outcomes reported in the paper align with those specified in the trial registration
Other bias Unclear risk There were baseline imbalances between the groups, but results were adjusted.
Unclear risk of recruitment bias as individuals were recruited to the trial after clusters have been randomised

Mennella 2008.

Study characteristics
Methods Study design
RCT
Funding
Not reported
Participants Description
Children aged 4 to 9 months and their mother
N (randomised)
88 parent‐children dyads
Age
Child (mean): study 1 fruits = 6.7 months, study 2 vegetables = 6.3 months
Parent (mean): study 1 fruits = 29 years, study 2 vegetables = 28 years
% female
Child: study 1 fruits = 49%, study 2 vegetables = 43%
Parent: 100%
SES and ethnicity
“Their ethnic background was 55.4% (N =41) Black; 29.7% (N =22) White; 2.7% (N =2) Hispanic and 12.2% (N =9) Other/Mixed Ethnicity.”
Inclusion/exclusion criteria
“To qualify the Children had to have at least two weeks of experience eating cereal or fruit from a spoon and little experience with the target fruits and vegetables.”
Recruitment
“Seventy‐four mothers whose Children were between the ages of 4 and 9 months were recruited from advertisements in local newspapers and from Women, Children and Children Programs in Philadelphia, PA.”
Recruitment rate
Not reported
Region
Philadelphia (USA)
Interventions Number of experimental conditions
5
Number of participants (analysed)
Study 1: fruits
Pear group = 20 dyads, between‐meal (BM) group = 19 dyads
Study 2: vegetables
Green bean group = 11 dyads, between‐meal (BM) group = 12 dyads, between‐meal and within‐meal (BM‐WM) group = 12 dyads
Description of intervention
Study 1: fruits
“During the home exposure period, one group fed only pears at the target meal (Pear Group, N=20) whereas the other group fed a fruit which was different than the one experienced during the previous 2 days (Between‐Meal (BM) Fruit Variety Group, N=19).”
Study 2: vegetables
“The three groups differed in the type, amount and variety of foods that infants were fed during the target meal during the 8‐day home exposure period. The infants in the Green Bean Group (N=11) were fed only the target vegetable, green beans, whereas those in the Between‐Meal variety group (BM Vegetable Variety Group, N=12) and the Between‐Meal and Within‐Meal Variety Group (BM–WM Vegetable Variety Group, N=12) were fed a variety of vegetables. The BM Variety Group was fed only one vegetable each day and green and orange vegetables were alternated daily, whereas the BM–WM Variety Group was fed two vegetables each day (one green, one orange). In the latter group, the pair of vegetables varied from day‐to‐day but one of the pair was experienced the prior day.”
Duration
8 days
Number of contacts
8 exposures
Setting
Home
Modality
Face‐to‐face
Interventionist
Mothers
Integrity
“All of the mothers complied with these instructions.”
Date of study
Not reported
Description of control
N/A
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of fruit and vegetable purees (grams). Mother resealed jars and returned them after the exposure period to be weighed
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
12 days (4 days of test food(s))
Length of follow‐up postintervention
2 days
Subgroup analyses
None
Loss to follow‐up
Condition 1: fruits
Overall = 15% (not specified by group)
Condition 2: vegetables
Overall = 17% (not specified by group)
Analysis
Unknown if sample size calculation was performed.
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomly allocated to experimental group but the random sequence generation procedure is not described
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes Unclear risk Fruit & vegetable intake:
The mother fed the child and there is no mention of blinding, therefore at unclear risk of performance bias
Blinding of outcome assessment (detection bias)
All outcomes Low risk The mother fed the child and there is no mention of blinding. However, this is an objective measure of intake, and therefore low risk of detection bias
Incomplete outcome data (attrition bias)
All outcomes High risk Mother‐infant pairs were excluded from the study because they did not comply with experimental procedures or ate less than 5 grams on the testing days. An intention‐to‐treat approach was not adopted and therefore at high risk of attrition bias
Selective reporting (reporting bias) Unclear risk There is no study protocol therefore it is unclear if there was selective outcome reporting
Other bias Low risk Contamination bias that could threaten the internal validity is unlikely to be an issue

Namenek Brouwer 2013.

Study characteristics
Methods Study design
C‐RCT
Funding
Not reported
Participants Description
Children and centre directors from 4 licensed childcare centres in North Carolina
N (randomised)
4 childcare centres
Age
Child: < 3 years = 27%; 3 to 5 years = 73%
Parent: not reported
% female
Child: not reported
Parent: not reported
Directors: 100%
SES and ethnicity
“All centers had at least some subsidized children enrolled.”
Directors: “75% were African American, and 50% had a college degree.”
Inclusion/exclusion criteria
“To participate in the study, centers had to provide all foods and beverages to children in care (i.e. parents could not send food from home), not have an open case of abuse or neglect with the state licensing agency, and have at least three children between the ages of three and five years in care on a regular basis.”
Recruitment
“We mailed a letter of invitation to every licensed center (n = 6) in the city limits of a small community near our research offices. The letter was followed by a telephone call from the study team. We enrolled the first four centers that agreed to participate. Center directors provided written informed consent to participate in the study; parents were provided a fact sheet describing the study and were asked to contact the project director if they did not want their children observed during the dietary assessment.”
Recruitment rate
Child: not reported
Childcare centres: 100%
Region
Central North Carolina (USA)
Interventions Number of experimental conditions
2
Number of participants (analysed)
4 childcare centres, “An average of 19.0 (7.9) children were enrolled per center”
Description of intervention
“The Watch Me Grow program is a garden‐based intervention aimed to increase the number of vegetables and fruits provided to and consumed by children in child care. The intervention took place in spring 2011. The program includes a “crop‐a‐month” structured curriculum for child‐care providers, consultation by a gardener, and technical assistance from a health educator. Over the course of the four‐month‐long intervention, providers and children in the intervention centers grew (1) lettuce, (2) strawberries, (3) spinach, and (4) broccoli. We designed the garden to yield one crop per month, and provided classrooms in the intervention centers with corresponding curriculum materials highlighting the target fruit or vegetable of the month.”
Duration
4 months
Number of contacts
Health educators (technical assistance): monthly
Visits from study gardener: at least monthly
Centre staff provided curriculum activities: 1 activity per week
Setting
Preschool
Modality
Face‐to‐face
Interventionist
Health educator/Gardener provided intervention to childcare centres
Centre Staff provided curriculum/activities to children
Integrity
No information provided
Date of study
2011
Description of control
Received no intervention
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of fruits and vegetables (mean servings, consumed by 3 children in each centre). Registered dietitians observed all meals and snacks over 2 full days and recorded all foods consumed for each of the 3 target children
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
~ 5 months
Length of follow‐up postintervention
1 month
Subgroup analyses
None
Loss to follow‐up
N/A: “the same three children may not have been observed pre‐ to post‐intervention.”
Analysis
Did not adjust for clustering
Unknown if sample size calculation was performed
Notes First reported outcome (daily vegetable servings consumed) was extracted for inclusion in meta‐analysis.
No adjustment was made for clustering; we therefore used postintervention data and calculated an effective sample size using ICC of 0.014 to enable inclusion in meta‐analysis
Sensitivity analysis ‐ primary outcome: fruit or vegetable intake is primary outcome as in trial registry
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Quote: “either the intervention or control condition on a 1:1 ratio, using the Research Randomizer (www.randomizer.org/form.htm)” The research randomiser was used to generate the random sequence
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes Low risk Dietary observation: a trained registered dietitian blinded to treatment group conducted the dietary assessments
Blinding of outcome assessment (detection bias)
All outcomes High risk Dietary observation: the outcome is observation of foods served and consumed at mealtimes at the childcare centre undertaken by blinded dietitians. However, there is no blinding of childcare centre staff, cooks, children etc., because they were provided with a garden at their centre, curriculum materials and lessons, and staff met with research team about the garden and how to incorporate it into all aspects of the centre
Incomplete outcome data (attrition bias)
All outcomes Low risk Randomly selected a classroom and then 3 children within classroom at centres to observe pre‐ and post‐intervention; it did not need to be the same 3 children observed pre‐ and post‐intervention
Selective reporting (reporting bias) Low risk The primary outcomes reported in the paper align with those specified in the trial registration
Other bias Unclear risk Quote: “Due to sample size limitations, we did not conduct formal statistical analysis beyond comparing crude differences in mean servings of vegetables and fruits.”
Insufficient information was reported to determine whether childcare centres were similar at baseline or recruitment bias. No statistical method to account for clustering, but we calculated an effective sample size prior to inclusion in meta‐analysis to account for this

Natale 2014a.

Study characteristics
Methods Study design
C‐RCT
Funding
"This research was funded by the Miami‐Dade County Children’s Trust (grant number 764‐287)."
Participants Description
Children aged 2 to 5 years enrolled in 8 subsidised childcare centres in Miami‐Dade County, Florida
N (randomised)
8 childcare centres, 307 children
Age
Child: “the average age for boys was 3.82 years, the average age for girls was 3.91 years”
Parent: not reported
% female
Child: intervention = 49%, control = 48%
Parent: not reported
SES and ethnicity
Child: “Thirty‐six percent identified their child as black, 34% identified their child as white, 18% chose other, and 14% were unknown. The ethnicity of the sample mirrors that of Miami‐Dade County, with 32% of the parents identifying their child as Hispanic/other, 25% as Hispanic/Cuban, 22% as African American, and 2% as Caucasian.
Parent: Thirty‐five percent of the sample were primarily Spanish speaking and completed the measures in Spanish, and 65% of the sample were primarily English speaking and completed the measures in English”
Inclusion/exclusion criteria
“Center study inclusion criteria consisted of (a) serve >30 children, (b) serve low‐income children, and (c) ethnic makeup had to be reflective of the county as a whole (minority majority). Low income was determined based on whether or not the child received subsidized child care.”
No inclusion/exclusion criteria specified for children.
Recruitment
“All participants were recruited at the child care center. Parents were approached during drop‐off or pickup times. Consent forms were attached to the interview packets, and parent data were collected during the initial visit.”
Recruitment rate
Child: 98%
Childcare centre: not reported
Region
Miami‐Dade County, Florida (USA)
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention = 238, control = 69
Description of intervention
Teacher curriculum
Modeled after a modified version of Hip‐Hop to Health Jr., included implementation of lessons and a low‐fat, high‐fibre diet that included more fruits and vegetables with an emphasis on cultural barriers.
Parent curriculum
Modeled after a modified version of the Eating Right Is Basic and Hip‐Hop to Health Jr., included a monthly educational dinner (run by dietitians) in which nutrition and physical activity were discussed, monthly newsletters, and at‐home activities, also information on how to introduce new foods and how to encourage eating more fruits and vegetables. Parents were encouraged to reduce TV viewing, increase physical activity, and model healthy eating behaviours for their child at home.
Centre‐based modifications
These included: the development of policies to increase physical activity and healthy eating; modifying menus to make them compliant with the policies and also to ensure that the U.S. Department of Agriculture (USDA) nutritional requirements were met; agreeing on a drink policy that included providing water as the primary beverage, not allowing juice or sweetened beverages more than one time per week; changing from whole milk to 1% milk; having a snack policy which consisted of substituting healthy snacks, such as fresh fruit and/or vegetables, for cookies and other high‐lipid snacks; having a physical activity policy to increase physical activity to more than one hour per day and to decrease TV viewing to less than 60 minutes two times a week.
Duration
6 months
Number of contacts
Unclear, multiple contacts
Setting
Preschool, home
Modality
Multiple (face‐to‐face, newsletters)
Interventionist
Teachers, parents and registered dieticians
Integrity
No information provided
Date of study
Not reported
Description of control
“The Attention control group centers received a visit from an injury prevention education mobile. The mobile provided parents and teachers with hands‐on safety education and information, as part of an ongoing injury prevention program at the University of Miami.”
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of fruit and vegetables assessed using a 16‐item food frequency questionnaire (FFQ) completed by parents and teachers
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
3, 6 and 12 months
Length of follow‐up postintervention
Immediately and 6 months
Subgroup analyses
None
Loss to follow‐up (immediately postintervention and 12 months)
Overall = 25%, 42%
Analysis
Unclear if adjusted for clustering
Unknown if sample size calculation performed
Notes Sensitivity analysis ‐ primary outcome: primary outcome not stated, BMI first listed outcome
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomly allocated to experimental group but the random sequence generation procedure is not described
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes High risk Food intake: there is no blinding to group allocation of participants or personnel described and this is likely to influence performance
Blinding of outcome assessment (detection bias)
All outcomes High risk Food intake (parent and teacher reported): there is no blinding to group allocation of participants or personnel described and this is likely to influence detection bias
Incomplete outcome data (attrition bias)
All outcomes High risk Of the 318 child‐parent dyads at baseline, there were 185 (58%) at the 1‐year follow‐up
Selective reporting (reporting bias) Unclear risk There is no study protocol therefore it is unclear if there was selective outcome reporting
Other bias Unclear risk Some evidence of baseline imbalance (e.g. ethnicity)
Unclear recruitment bias
Unclear whether potential clustering within childcare centres accounted for

Nekitsing 2019a.

Study characteristics
Methods Study design
C‐RCT
Funding
“This research is funded by a White Rose Doctoral Training Centre (WRDTC) Economic and Social Research Council (ESRC) Collaborative Award. The collaborative partner is Purely Nutrition Ltd. Contribution in kind which includes storybooks and photo cards were received from the collaborative partner PhunkyFoods; Purely Nutrition Ltd.”
Participants Description
Children aged 2 to 5 attending private preschools in West Yorkshire, UK
N (randomised)
12 preschools, 337 children
Age
Child (mean): group A = 39.6 months, group B = 39.8 months, group C = 37.7 months, group D = 38.8 months
Parent: not reported
% female
Child: Group A = 54%, Group B = 39%, Group C = 46%, Group D = 40%
Parent: not reported
SES and ethnicity
Not reported
Inclusion/exclusion criteria
Preschool inclusion: “Preschools were eligible to take part if they were able to integrate the study requirements into their curriculum over 2 weeks in November 2017.”
No explicit exclusion criteria for preschools
Children inclusion/exclusion criteria: “Children were eligible to take part if they were aged 2 to 5 years and attended the preschool class on the celeriac intake assessment days. They were excluded from the study if they had any relevant food allergies, a medical condition that prevented them from eating the study vegetable, their parents did not want them to participate, or if the child indicated that they did not want to participate at the time of assessment”
Recruitment
“Consent to participate was sought from the preschool man‐ ager at the cluster level and individually from parents using an opt‐out approach in 11 preschools and opt‐in approach in 1 preschool”
Recruitment rate
Child = 98% (339/346)
Preschool = 75% (12/16)
Region
West Yorkshire, UK
Interventions Number of experimental conditions
4
Number of participants (analysed)
Group A = 59, group B = 66, group C = 65, group D = 77
Description of intervention
“Over a 2‐week period, children in all four conditions were read a vegetable storybook featuring celeriac or carrot. In addition, two conditions received sensory play with either carrot or celeriac added to the storybook method.”
“The storybooks were specifically designed for the present study and were the main experimental stimuli.”
“The staff were provided with a kit that included six different forms of celeriac or carrot, along with some instructions on how to use them for the sensory activity.”
Group A (congruent storybook) and group B (congruent storybook and congruent sensory play) learned about the unfamiliar 'target' vegetable (celeriac)
Group C (incongruent storybook) and group D (incongruent storybook and incongruent sensory play) learned about a familiar vegetable (carrot)
Duration
2 weeks (9 preschool days)
Number of contacts
Unclear, 2 activities on the first and final day and staff requested to keep storybooks on clear acrylic stands to increase visual exposure and read the book a minimum of 5 times
Setting
Preschool
Modality
Face‐to‐face
Interventionist
Preschool staff
Integrity
“The researcher was present to observe preschool staff on days 1 and 15, as well as several interceding occasions, taking notes on delivery and compliance with the intervention. The story session lasted between 5 and 12 minutes, depending on the children’s age, attention span, and interest in the story.”
“staff were also asked to keep a register of attendance so that children who were absent during the story times could be identified. On average, individual children were read their story on five occasions (ranging from two to seven) and this did not vary by condition.”
Date of study
November 2017
Description of control
N/A
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of vegetables (celeriac, grams). “Forty grams (1 of their “5 a day”) of the celeriac was placed in clear snack bags then labeled for each child and weighed individually (to the nearest 0.01 g), before and after eating sessions using a digital scale (Mettler, PJ4000) by the researcher.”
Outcome relating to absolute costs/cost‐effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
2 weeks
Length of follow‐up postintervention
Immediate
Subgroup analyses
“In order to examine whether the intervention was effective specifically for those children who ate nothing at the baseline test (baseline non‐eaters), a subgroup analysis was performed with 85 children who ate none of the celeriac at baseline.”
Loss to follow‐up (at immediate)
Group A = 31%, group B = 15%, group C = 24%, group D = 13%
Analysis
Adjusted for clustering
Sample size calculation performed
Notes Author provided mean (SD) by group
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Stratified randomisation was used and the random sequence was created using a random number generation function within Excel.
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed.
Blinding of participants and personnel (performance bias)
All outcomes Low risk Preschool managers and staff were unaware of the study design and condition assignment was concealed between clusters.
Blinding of outcome assessment (detection bias)
All outcomes Low risk Vegetable (celeriac) intake was measured in grams and therefore the risk of detection bias is low.
Incomplete outcome data (attrition bias)
All outcomes High risk 70/337 (21%) did not complete the post‐intervention assessment, no ITT reported and so the risk of attrition bias is high
Selective reporting (reporting bias) Low risk The outcomes reported align with those outlined in the trial registration.
Other bias Low risk Recruitment bias (low risk): participants were recruited prior to randomisation
Baseline imbalance (low risk): no between‐group differences observed for baseline characteristics
Loss of clusters (low risk): no clusters were lost to follow‐up
Incorrect analysis (low risk): the analysis described is appropriate and adjusts for clustering.
Contamination bias (low risk): preschools were randomised to condition so risk of contamination is low.

Nekitsing 2019b.

Study characteristics
Methods Study design
C‐RCT
Funding
“funded by a White Rose Doctoral Training Centre (WRDTC) Economic and Social Research Council (ESRC) Collaborative Award. The collaborative partner is Purely Nutrition Ltd. Contribution in kind, which includes storybooks and photo cards, were received from Purely Nutrition Ltd”
Participants Description
Children aged 2 to 5 years attending preschools in West Yorkshire, UK
N (randomised)
11 preschools, 219 children
Age
Child (mean): taste exposure (TE) = 38.1 months, nutrition education (NE) = 43.4 months, TE and NE = 40.5 months, control = 41.8 months
Parents: not reported
% female
Child: TE = 51%, NE = 66%, TE and NE = 64%, control = 38%
Parent: not reported
SES and ethnicity
Not reported
Inclusion/exclusion criteria
Inclusion criteria
Preschool: “Preschools were eligible to take part in the case that they were not participating in other nutrition health programs and were able to commit to the time frame of the study (9 months).”
Child: “All children aged 2 to 5 years attending their preschool class on the agreed test day were included.”
Exclusion criteria (child): “They were excluded from the study in the case that they had any relevant food allergies, a medical condition that would prevent them from eating the test vegetable, or if their parents opted out of the study.”
Recruitment
“Fifty‐five preschools from Leeds, Brighouse, and Halifax (West Yorkshire, UK) were sent a recruitment e‐mail in July 2016, followed by a telephone call.”
“Consent to participate was sought from the preschool manager at the cluster level and individually by parents using an opt‐out approach.”
Recruitment rate
Child = 99% (220/223)
Preschool = 20% (11/55)
Region
West Yorkshire (UK)
Interventions Number of experimental conditions
4
Number of participants (analysed)
TE = 47, NE = 38, TE and NE = 39, control = 16
Description of intervention
Taste exposure: “involved offering mooli during usual snack time once per week, every week for 10 weeks (Weeks 2 to 11).”
Nutrition education: for the NE clusters, preschool staff members were trained by the PhunkyFoods team to deliver the existing nutrition education programme, designed for preschool‐aged children and provided preschools with ideas and inspiration for classroom carousel play activities (e.g. stories, role play, and games), practical food handling/preparation activities, educational displays for the classroom and parental involvement opportunities. “For the NE clusters, staff members were instructed to teach two specific components of the PFP as often as possible during the 10‐week period: Eat Well and Strive for 5!, then to record these activities on a checklist.”
Duration
10 weeks
Number of contacts
TE: 10 (once/week)
NE: unclear, “staff members were instructed to teach two specific components of the PFP as often as possible during the 10‐week period:”
Setting
Preschool
Modality
Face‐to‐face
Interventionist
Preschool staff
Integrity
In total, 6 preschools using the PFP delivered ≥T 35% of the required contents (delivery of the intervention was 100% (n = 2), 50% (n = 2), 40% (n = 1), and 35% (n = 1).
Date of study
September 2016 to December 2017
Description of control
“The control condition did not receive any intervention during the study period but were offered the education program on completion of the study (after Week 36).”
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of mooli (grams). “Each vegetable portion was weighed (to the nearest 0.01 g) before and after each snack time using a digital scale (Mettler PJ4000; Mettler‐Toledo LLC) by the research team.”
Outcome relating to absolute costs/cost‐effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
12, 14 and 36 weeks
Length of follow‐up postintervention
Immediate, 12 and 24 weeks
Subgroup analyses
“Analyses also undertaken only among those children classified as ‘eaters’ at baseline”
Loss to follow‐up (at 24 weeks)
TE = 24%, NE = 44%, TE and NE = 29%, control = 53%
Analysis
Adjusted for clustering
Unclear if sample size calculation performed
“however the anticipated sample size was not fully met for the final analysis.”
Notes Data reported in Figure 3 only, no measures of variance were available. We therefore estimated means and SDs by groups at follow‐up from a study figure using an online resource (Plot Digitizer: plotdigitizer.sourceforge.net). By group comparisons didn’t adjust for clustering; we therefore used post‐intervention data and calculated an effective sample size using ICC of 0.014 to enable inclusion in meta‐analysis
Data extracted was included in multiple comparisons
Sensitivity analysis ‐ primary outcome: primary outcome was vegetable consumption
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Trial used stratified randomisation and created the random sequence using an online list generator.
Allocation concealment (selection bias) High risk The researcher generated the random allocation sequence for each preschool and so allocation judged as not being concealed
Blinding of participants and personnel (performance bias)
All outcomes Low risk Condition allocation was concealed between clusters and so the risk of performance bias is low.
Blinding of outcome assessment (detection bias)
All outcomes Low risk Mooli intake was weighed in grams and so the risk of detection bias is low.
Incomplete outcome data (attrition bias)
All outcomes High risk 79/219 (36%) were lost to follow‐up, no ITT reported and so the risk of attrition bias is high.
Selective reporting (reporting bias) Unclear risk The primary outcome reported aligns with that outlined in the trial registration, however there is a secondary outcome (intake of usual vegetables) listed in the trial registration that does not appear to be reported in the paper.
Other bias High risk Recruitment bias (unclear risk): unclear if there is recruitment bias as preschool managers chose the day and time that was most convenient to them and thus which children would be included in the study.
Baseline imbalance (high risk): there were no differences across intervention conditions in sex or mean BMI z‐score but there were differences in mean age.
Loss of clusters (low risk): no clusters were lost to follow‐up.
Incorrect analysis (low risk): the analysis described is appropriate and adjusts for clustering.
Contamination bias (low risk): preschools were randomised to condition and allocation was concealed between clusters and so risk of contamination is low.

Nicklas 2017.

Study characteristics
Methods Study design
C‐RCT
Funding
“This study was sponsored by the National Institutes of Health (NIH)/National Institute of Child Health and Human Development through grant number R21‐HD073608. Partial support was received from the USDA Agriculture Research Service through specific cooperative agreement 58‐6250‐0‐008.”
Participants Description
Preschool‐aged children who were predominantly low‐income African‐American and Hispanic
N (randomised)
6 Head Start centres, 253 children
Age
Child (mean): intervention = 4.47 years, control = 4.38 years
Parent: not reported
% female
Child: intervention = 49%, control = 52%
Parent: not reported
SES and ethnicity
Child: Hispanic (intervention = 46%, control = 54%) and African‐American (intervention = 59%, control = 41%)
Inclusion/exclusion criteria
Not specified
Recruitment
“Recruitment strategies included flyers that were sent to the home with the children, presentations at parent meetings, face‐to‐face recruitment during child drop‐off and pickup at Head Start, and active involvement of the Head Start manager and staff in the recruitment process”
Recruitment rate
Children: 65% (253/391)
Childcare centre: not reported
Region:
Houston, TX (USA)
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention = 128, control = 125
Description of intervention
The intervention included 4 DVDs (videos) theatre‐based puppet shows that aimed at persuading children to increase vegetable consumption through encouragement, rationale/reason, reinforcement, and role modelling that were delivered over 4 consecutive weeks at preschools. Additionally, "each intervention child took home a bag including the DVD video for that week, a pamphlet, main ingredients to prepare a simple vegetable snack, crayons, and a disposable camera (if parents did not have a smart phone) to use as instructed in the booklets."
The intervention was “based on the theoretical framework “transportation into a narrative world”, three professionally developed characters, unique storylines and an engaging, repetitious song were incorporated in four 20‐min videotaped puppet shows.”
Duration
4 weeks
Number of contacts
6 contacts/week
Setting
Preschool, home
Modality
Multiple (face‐to‐face, visual/audio – DVD)
Interventionist
Teachers and parents
Integrity
No information provided
Date of study
Not reported
Description of control
“During the 4‐week intervention period the control group did not receive any alternate intervention.”
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of vegetables assessed using digital photography and plate weight before and after consumption (grams)
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
4 weeks and 2 days
Length of follow‐up postintervention
2 days
Subgroup analyses
None
Loss to follow‐up
No loss to follow‐up
Analysis
Adjusted for clustering
Unknown if sample size calculation performed
Notes Reported estimates accounted for clustering, but CIs or other measures of variance were not available. We therefore estimated means and SDs by groups at follow‐up from a study figure using an online resource (Plot Digitizer: plotdigitizer.sourceforge.net) and calculated an effective sample size using ICC of 0.014 to enable inclusion in meta‐analysis.
Sensitivity analysis ‐ primary outcome: primary outcome was vegetable consumption
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk The random sequence generation was not described
Allocation concealment (selection bias) Unclear risk No information about allocation concealment is provided and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes Unclear risk Participants and teachers in intervention preschools were not blinded to the intervention, as children viewed a DVD, and teachers were asked to identify the vegetable components served in the lunch. It is unclear whether this resulted in performance bias.
Blinding of outcome assessment (detection bias)
All outcomes Low risk Children’s vegetable intake was assessed using the digital photography method and plates were weighed and therefore unlikely to be influenced by detection bias
Incomplete outcome data (attrition bias)
All outcomes Low risk 253 children were enrolled and all of them completed the follow‐up assessment, so risk of attrition bias is very low.
Selective reporting (reporting bias) Low risk The primary outcomes reported in the paper align with those specified in the trial registration.
Other bias Unclear risk There is potential recruitment bias, as it is not clear when or how clusters were randomised, and whether recruitment occurred before or after.

O'Connell 2012.

Study characteristics
Methods Study design
C‐RCT– cross‐over
Funding
“Financial support was provided by the Rudd Foundation.”
Participants Description
Children aged 3 to 6 years attending 2 private preschools in a small north‐eastern city
N (randomised)
2 preschools (number of children not specified, 96 children recruited)
Age
Child: “Age ranged from 3 to 6 years old, but most (85%) children were 4 or 5 years old.”
Parent: not reported
% female
Child: 44%
Parent: not reported
SES and ethnicity
Child: “Race/ethnicity was white (69%), Asian (8%), African American (5%), Hispanic (6%), and other (12%).”
Parent: “These preschools primarily serve highly educated households; nearly all (93%) of the children had at least one parent with a bachelor’s degree and 75% had at least one parent with a graduate or professional degree.”
Inclusion/exclusion criteria
Not reported
Recruitment
Not reported
Recruitment rate
Child: not reported
Preschool: not reported
Region
New Haven (USA)
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention = 43, control = 53
Description of intervention
“During the intervention, the children at Preschool A were served one of the new vegetables every day for 30 days in a 3‐day cycle (e.g. Monday, cauliflower; Tuesday, snow peas; Wednesday, green pepper) until they had received each vegetable a total of 10 times.”
Duration
6 weeks
Number of contacts
30 (1 per day for 30 days)
Setting
Preschool
Modality
Face‐to‐face
Interventionist
Teachers
Integrity
No information provided
Date of study
2007
Description of control
Control/delayed intervention (Preschool B).
"Preschool B continued routine practices during the first 6 weeks of the study, and then switched conditions with Preschool A for the second 6 weeks”
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of new vegetables (grams). “Researchers picked up the bags of vegetables later from the schools, weighed them, and calculated intake to the nearest gram.”
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
12 weeks
Length of follow‐up postintervention
Immediately
Subgroup analyses
None
Loss to follow‐up
No loss to follow‐up
Analysis
Adjusted for clustering (multilevel modelling)
Sample size calculations performed
Notes Post‐intervention data were extracted following the first phase of the trial (Time 2) prior to cross‐over. As an estimate was not reported for the Time 2 follow‐up that adjusted for clustering, we used postintervention data and calculated an effective sample size using ICC of 0.014 to enable inclusion in meta‐analysis.
Sensitivity analysis ‐ primary outcome: fruit or vegetable only outcome reported
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomly allocated to experimental group but the random sequence generation procedure is not described
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes Low risk Vegetable consumption: objective measure of child’s vegetable intake and unlikely to be influenced by performance bias
Blinding of outcome assessment (detection bias)
All outcomes Low risk Vegetable consumption: objective measure of child’s vegetable intake and unlikely to influence detection bias
Incomplete outcome data (attrition bias)
All outcomes Low risk There is no reported attrition. Data from 96 children were analysed, very low risk of attrition bias
Selective reporting (reporting bias) Unclear risk There is no study protocol therefore it is unclear if there was selective outcome reporting
Other bias High risk Baseline imbalances were reported. There were differences in vegetable consumption at baseline, did not adjust for.

Owen 2018.

Study characteristics
Methods Study design
RCT
Funding
“This research was funded by an award to the last author by the Economic and Social Research Council (Award Ref: RES‐000‐22‐3891”
Participants Description
Children aged 18 to 24 months and their parent
N (randomised)
127 children
Age
Child (mean): fruit book = 21.8 months, vegetable book = 21.7 months, control = 21.3 months
Parent: not reported
% female
Child: fruit book = 48%, vegetable book = 50%, control = 56%
Parent: not reported
SES and ethnicity
Parent: education (% degree)
Fruit book = 60%, vegetable book = 48%, control = 59%
Household income (% GBP 50k + pa)
Fruit book = 55%, vegetable book = 50%, control = 42%
Inclusion/exclusion criteria
Not reported
Recruitment
“recruited from the University's Child Development Group's database of parents who had expressed an interest in participating in research with their child (n=103), or via adverts placed on the parenting websites Mumsnet and BabyCentre (n=13), flyers placed in local nurseries (n=7) or word of mouth (n=4).”
Recruitment rate
Not reported
Region
UK
Interventions Number of experimental conditions
3
Number of participants (analysed)
Fruit book = 21, vegetable book = 27, control = 29
Description of intervention
Visual familiarisation phase: “parents of children in the ‘fruit book’ and ‘vegetable book’ groups were sent a picture book about their child's target fruit or vegetable, respectively. Each book contained 6 pages of color photographs and basic information about the food, presented as a ‘farm to fork’ story showing how the food grows, how it is sold in shops, and what it looks like when it is cut open, prepared and served Parents were asked to look at the book with their child for 5min every day for 14 consecutive days.”
Taste‐exposure phase: “families in all conditions participated in two weeks of taste exposure. Parents were asked to offer their child a taste of both target foods every day for 15 consecutive days.”
Duration
4 weeks
Number of contacts
~29 exposures (visual familiarisation 5min/day for 14 days and taste‐exposure for 15 consecutive days)
Setting
Home
Modality
Multiple (face‐to‐face, story book)
Interventionist
Parent
Integrity
“On each day of taste exposure, parents were asked to record in a daily diary whether they had been able to offer their child a taste of each food and, if so, whether the child had tasted it.”
“During the taste‐exposure phase, parents provided a mean of 13.0 (SD=1.97) exposures to the target fruit and 12.3 (SD=2.32) exposures to the target vegetable, indicating a high level of adherence to instructions.”
Date of study
Not reported
Description of control
“Families in the control group did not receive a book and were told that they would be contacted two weeks later”and took part in the taste‐exposure phase.
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of fruits and vegetables assessed using the Child Food Frequency Questionnaire (CFFQ) completed by parents
Outcome relating to absolute costs/cost‐effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
4 weeks and 4 months
Length of follow‐up postintervention
Immediate and 3 months
Subgroup analyses
None
Loss to follow‐up (at immediate and 3 months)
Fruit book: 19%, 50%
Vegetable book: 22%, 41%
Control: 10%, 26%
Analysis
Unknown if sample size calculation performed
Notes The control group was shared across both outcomes (fruit and vegetable). Data for the fruit and vegetable interventions groups were combined, and data from the control groups were combined and halved between arms.
Sensitivity analysis ‐ primary outcome: primary outcome not stated, fruit and vegetable intake second reported outcome (after liking)
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk The random sequence generation procedure is not described.
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed.
Blinding of participants and personnel (performance bias)
All outcomes High risk There is no indication whether participants were blind to group allocation and so judged to be at high risk of performance bias.
Blinding of outcome assessment (detection bias)
All outcomes High risk There is no mention that participants were blinded to group allocation and therefore the risk of detection bias for this parent self‐reported measure is high.
Incomplete outcome data (attrition bias)
All outcomes High risk 78/127 (61%) parents returned the follow‐up survey 3 months later, no ITT reported and so risk of attrition bias is high.
Selective reporting (reporting bias) Unclear risk There is no study protocol therefore it is unclear if there was selective outcome reporting.
Other bias Low risk Delivered at home, risk of contamination bias low

Remington 2012.

Study characteristics
Methods Study design
RCT
Funding
"Supported by Medical Research Council/National Preventive Research Initiative grant G0701864"
Participants Description
Children aged 3 to 4 years attending nursery school and their primary caregiver
N (randomised)
173 parent‐child dyads
Age
Child (mean): tangible reward = 3.96 years, social reward = 3.99 years, control = 3.90 years
Primary caregiver (mean): tangible reward = 37.44 years, social reward = 37.35 years, control = 37.52 years
% female
Child: tangible reward = 48%, social reward = 54%, control = 55%
Parent: primary caregiver (mother) reported. Tangible reward = 85%, social reward = 88%, control = 77%
SES and ethnicity
Parent: primary caregiver
Education level
Nongraduate = 24%, degree level of higher = 62%
Ethnicity
White = 66%, Black = 2.9%, South Asian = 6%
Inclusion/exclusion criteria
Not reported
Recruitment
Children aged 3–4 years and their primary caregivers were recruited through nursery schools in North London, United Kingdom.
Recruitment was done in 3 waves in 2010. At each wave, teachers distributed consent forms and information letters about the “Tiny Tastes” study, and families were asked to return their contact details in a prepaid envelope if they were interested in taking part. Potential participants were then contacted by telephone.”
Recruitment rate
Parent‐child dyads: 82% (173/212)
Region
North London (UK)
Interventions Number of experimental conditions
3
Number of participants (analysed)
Taste exposure and tangible reward = 47
Taste exposure and social reward = 46
No treatment control = 47
Description of intervention
Taste exposure and tangible reward: “The parents were asked to offer their child a small piece (~2.5g) of their target vegetable every day for 12 weekdays and to tell them that they could choose a sticker if they tried it. No tastings were done over the weekends.”
Taste exposure and social reward: “Parents were asked to offer the vegetable as described above and to praise their child with phrases such as “brilliant, you're a great vegetable taster” if they tasted it. The parents were to emphasize that the praise was being given for tasting the vegetable”
Duration
3 weeks
Number of contacts
12 taste exposures
Setting
Home
Modality
Face‐to‐face
Interventionist
Primary caregiver
Integrity
“The parents were also given a diary to record whether each day’s trial was performed, whether the child tried the vegetable, and whether the reward was given; space was allowed for comment.”
“No differences in the number of days that the child was offered or tried the target vegetable were found between the intervention groups”
Date of study
2010
Description of control
“Families assigned to the control group did not perform any daily tastings and were given no instructions or materials for the intervention period, but were told that they would be taught a special technique to help their child to eat more vegetables after the last visit.”
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of target vegetable (grams). “Intake (in g) was recorded by weighing the bowl containing pieces of the target vegetable before and after consumption with a digital scale (Mettler Toledo).”
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
3 weeks, ~ 2 months and ~ 4 months
Length of follow‐up postintervention
Immediately and at 1 and 3 months
Subgroup analyses
None
Loss to follow‐up (immediately postintervention, and at 1 and 3 months)
Taste exposure and tangible reward = 0%, 0%, 3%
Taste exposure and social reward = 0%, 3%, 2%
No treatment control = 0%, 5%, 2%
Analysis
Sample size calculations performed.
Notes Data from the longest follow‐up < 12 months (3 month follow‐up) were extracted for inclusion in meta‐analysis. Estimates were reported comparing the tangible reward and control conditions, but not social reward condition. We estimated mean and SEM from a study figure using an online resource (Plot Digitizer: plotdigitizer.sourceforge.net) for all 3 groups. The tangible reward and social reward conditions were combined into a single intervention group for inclusion in meta‐analysis.
Sensitivity analysis ‐ primary outcome: fruit or vegetable intake is primary outcome according to trial registry.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomly allocated to experimental group but the random sequence generation procedure is not described
Allocation concealment (selection bias) Low risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes Low risk Consumption of target vegetable: there is insufficient information to determine the likelihood of performance bias
Blinding of outcome assessment (detection bias)
All outcomes Low risk Consumption of target vegetable: there is insufficient information to determine the likelihood of detection bias
Incomplete outcome data (attrition bias)
All outcomes Low risk The proportion that completed the follow‐up assessments is not reported and therefore the risk of attrition bias is unclear
Selective reporting (reporting bias) Unclear risk The primary outcomes reported align with those specified in the trial registration. However the secondary outcomes specified on trial registry do not appear to be reported in the abstract
Other bias Low risk Contamination bias that could threaten the internal validity is unlikely to be an issue

Remy 2013.

Study characteristics
Methods Study design
RCT
Funding
Not reported
Participants Description
Children aged 4 to 8 months old and their parent
N (randomised)
100 parent‐child dyads
Age
Child (mean): repeated exposure = 6.3 months, flavour‐flavour learning = 6.6 months, flavour‐nutrient learning = 6.2 months
Parent: not specified
% female
Child: repeated exposure = 47%, flavour‐flavour learning = 35%, flavour‐nutrient learning = 38%
Parent: mostly mothers (exact % not reported)
SES and ethnicity
Not reported
Inclusion/exclusion criteria
“The criteria for children inclusion were as follows: age between 4 and 8 mo, introduction of complementary foods was started at >2 week and < 2 mo before the start of the study, no health problems or food allergies at the beginning of the study, and gestational age ≥36 week.”
Recruitment
“Parents in the Dijon area of France were recruited using leaflets or posters distributed in health professionals consulting rooms, pharmacies, and day‐care centers.”
Recruitment rate
Parent‐child dyads = 81% (100/123)
Region
Dijon (France)
Interventions Number of experimental conditions
3
Number of participants (analysed)
Repeated exposure = 32
Flavour‐flavour learning = 30
Flavour‐nutrient learning = 30
Description of intervention
“During the exposure period, infants were exposed 10 times to a basic (RE group), a sweet (FFL group), or an energy‐dense (FNL group) artichoke puree according to their group.”
Duration
~ 41 days
Number of contacts
2 to 3 times per week
Setting
Home
Modality
Face‐to‐face
Interventionist
Parents
Integrity
“parents were given precise instructions, and data collected in the notebook revealed that they complied with the instructions.”
Date of study
October 2010 and May 2011
Description of control
N/A
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of varied artichoke purees (grams). “To measure intake, parents were asked to weigh each jar before and after consumption, using a digital kitchen scale (61 g, Soehnle) that we provided them with, and to record the weight in a notebook. After each observation, parents were required to reseal the jar(s) of food, freeze them, and bring the used jars back to the laboratory to check compliance with the study procedure and data accuracy.”
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
Unclear
Length of follow‐up postintervention
2 weeks, 3 months and 6 months
Subgroup analyses
None
Loss to follow‐up (at 2 weeks, 3 and 6 months)
Overall = 5%, 7%, 8%
Analysis
Sample size calculations performed.
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomly allocated to experimental group but the random sequence generation procedure is not described
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes Low risk Vegetable intake: the interventions are all artichoke puree with different nutrient content. Parents would be unable to determine study group from feeding the child, and therefore this would be unlikely to influence the outcome
Blinding of outcome assessment (detection bias)
All outcomes Low risk Vegetable intake: this is objective assessment. Parents would be unable to determine study group from feeding the child, and therefore this would be unlikely to influence the outcome
Incomplete outcome data (attrition bias)
All outcomes High risk 5 families dropped out during the exposure period and were excluded. An intention‐to‐treat approach was not used and therefore at high risk of attrition bias
Selective reporting (reporting bias) Low risk The outcomes reported in the paper align with those specified in the trial registration
Other bias Low risk Contamination bias that could threaten the internal validity is unlikely to be an issue

Roe 2013.

Study characteristics
Methods Study design
C‐RCT – cross‐over
Funding
"Supported by NIH grant R01 DK082580"
Participants Description
Children 3 to 5 years attending the Bennett Family Center on campus at The Pennsylvania State University
Age
Child (mean): 4.4 years
Parent: not reported
% Female
Child: 52%
Parent: not reported
SES and ethnicity
Child: “The children were racially diverse: 56% were white, 29% Asian, 11% black or African American, and 4% Pacific Islander.”
Inclusion/exclusion criteria
No explicit inclusion criteria stated for this trial
Exclusion criteria: “Children who were allergic to any of the foods to be served at the snack were not included in the study.”
Recruitment
“Participants in the study were recruited by distributing letters to parents of children in 4 classrooms of the childcare facility that included children aged 3–5 y; these classrooms had a total of ~75 children present at snack time.”
Recruitment rate
Not reported
Region
Pennsylvania (USA)
Interventions Number of experimental conditions
8
Number of participants (analysed)
Overall = 61
Description of intervention
Variety type serve
1 occasion: a variety of all 3 vegetables offered (cucumber, sweet pepper, tomato)
1 occasion: a variety of all 3 fruits offered (apple, peach, pineapple)
Single‐type serve
3 occasions: a single type of vegetable offered (cucumber, sweet pepper, tomato)
3 occasions: a single type of fruit offered (apple, peach, pineapple)
Duration
4 weeks
Number of contacts
8
Setting
Preschool
Modality
Face‐to‐face
Interventionist
Childcare helper
Integrity
No information provided
Date of study
February to April 2011
Description of control
N/A
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of fruit and vegetables (number of pieces). “The number of pieces of vegetables or fruit selected by each child in the study was recorded independently by 2 observers seated near each table.”
“After the meal, the number of uneaten pieces on each child’s plate was recorded as well as any dropped pieces. All uneaten food and beverage items were weighed after the meal with digital scales (models PR5001 and XS4001S; Mettler‐Toledo Inc).”
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
Unclear
Length of follow‐up postintervention
Immediately
Subgroup analyses
None
Loss to follow‐up
No loss to follow‐up
Analysis
Unclear if adjusted for clustering
Unclear if sample size calculations performed
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Random sequence created using a computerised random‐number generator.
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes Low risk Vegetable and fruit intake
Child’s vegetable and fruit intake unlikely to be influenced by performance bias
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Vegetable and fruit intake:
2 observers independently recorded the number of pieces of vegetables or fruit selected by each child. However it is unclear whether these observers were blinded to condition and whether this influenced detection bias. This was observation of the number of pieces of fruit or veg selected and eaten by each child, and weight of any uneaten pieces of fruit/veg on the plate at end of meal. It was assessed by 2 independent observers, but it is not clear if they were blinded or not. Childcare staff sat at table with children and passed around fruit and veg bowls but were unaware of the study hypotheses
Incomplete outcome data (attrition bias)
All outcomes Low risk 54 (89%) of the 61 children completed the liking ratings and therefore the risk of attrition bias is low
Selective reporting (reporting bias) Low risk The primary outcomes reported in the paper align with those specified in the trial registration
Other bias Low risk Contamination, baseline imbalance, and other bias that could threaten the internal validity are unlikely to be an issue

Roset‐Salla 2016.

Study characteristics
Methods Study design
C‐RCT
Funding
"This work was supported by a grant for investigation in nursing from Collegi Oficial d’ Infermeria de Barcelona, 2009 (grant number PR‐5001/09); Primer Premio Nacional de Investigación en Enfermería, 2009, from Hospital Universitario Marqués de Valdecilla; and a grant for investigation in nursing from Acadèmia de Ciències Mèdiques de Catalunya i Balears, filial Maresme, 2010. The funders had no role in the design, analysis or writing of this article."
Participants Description
Children aged 1 to 2 years attending 12 daycare centres and their parent
N (randomised)
12 day‐care centres, 206 children, 195 parents
Age
Child (mean): intervention = 1.3 years, control = 1.4 years
Parent (mean): intervention = 35 years, control = 35 years
% female
Child: intervention = 37%, control = 49%
Parent: intervention = 93%, control = 85%
SES and ethnicity
Parent: educational level
Primary = 10%, secondary = 35%, university = 55%
Inclusion/exclusion criteria
No explicit inclusion criteria stated for this trial
Exclusion criteria: “Children still exclusively breast‐feeding at the time of the study, children whose parents were not responsible for their alimentation, children with special diets due to chronic diseases (such as coeliac disease, food intolerances or allergies, inflammatory bowel disease), parents with language difficulties, parents unable to attend the educational workshops and those who did not sign the informed consent.”
Recruitment
“At the beginning of the school term, all parents of the children attending the participating day‐care centres were invited to informative meetings regarding the study with the use of pamphlets and posters.”
Recruitment rate
Child: 35% (206/581)
Day‐care centre: not reported
Region
The city of Mataró (north of Barcelona), Spain
Interventions Number of experimental conditions
2
Number of participants (analysed)
Child: intervention = 75, control = 67
Parent: intervention = 74, control 72
Description of intervention
“All parents from the day‐care centres in the intervention group (IG) were invited to attend four educational workshops on alimentation at the beginning of the study and one reminder at 4 months. A model of participatory‐active education was used, in order to achieve practical skills in addition to nutritional knowledge. Cognitive (teaching how to improve diet), emotional (addressing beliefs and attitudes of the participants through discussion and analysis techniques) and skill areas (developing dietary skills) were included. The aim was to incorporate new and better dietary knowledge and to change the habits of the participants.”
Duration
6 months (workshops in October to November and a reminder in March)
Number of contacts
5 workshops
Setting
Preschool
Modality
Face‐to‐face
Interventionist
Nurses trained in nutrition
Integrity
No information provided
Date of study
October 2010 to May 2011
Description of control
“The parents included in the control group (CG) did not receive any education related to nutrition. In order to avoid drop outs, the participants of the CG were invited to a workshop on a subject not related to the study or nutritional education (manipulation and conservation.”
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of fruits and vegetables (servings per day) assessed using a 78‐item food frequency questionnaire (FFQ) completed by parents
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
8 months
Length of follow‐up postintervention
2 months
Subgroup analyses
None
Loss to follow‐up
Child: intervention = 32%, control = 35%
Parent: intervention = 9%, control = 8%
Analysis
Did not adjust for clustering.
Unknown if sample size calculation performed.
Notes First reported outcome (changes in vegetable and garden produce servings per day) was extracted for inclusion in the meta‐analysis. To enable inclusion in meta‐analysis, we calculated postintervention means by group by summing baseline and change from baseline means, assuming baseline SDs for postintervention SDs, and we calculated an effective sample size using ICC of 0.014 to account for clustering
Sensitivity analysis ‐ primary outcome: primary outcome not stated, fruit or vegetable intake second listed outcome after adherence to Mediterranean diet
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomly allocated to experimental group but the random sequence generation procedure is not described
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes High risk Dietary intake (self‐reported): there is no blinding to group allocation of participants and this is likely to influence performance
Blinding of outcome assessment (detection bias)
All outcomes High risk Dietary intake (self‐reported): there is no blinding to group allocation of participants and because this is a self‐reported measure this is likely to introduce detection bias
Incomplete outcome data (attrition bias)
All outcomes High risk Quote: “Of the parents randomized to the IG only sixty‐seven (65 %) attended three or more workshops, with the remaining parents considered drop outs. The reasons for not attending the workshops were mainly difficulties in family timetables and illness of the children”.
35% of the intervention group did not attend the minimum of 3 workshops and were considered dropouts. Therefore analysis was not undertaken according to intention‐to‐treat principles and risk of attrition bias is high
Selective reporting (reporting bias) Unclear risk There is no study protocol therefore it is unclear if there was selective outcome reporting
Other bias Unclear risk There were baseline imbalances for certain characteristics between the conditions (e.g. servings of legumes), although adjusted for in the analysis and so the impact of this is unclear.
Analysis did not accounted for effect of clustering, but we calculated an effective sample size prior to pooling in meta‐analysis to account for this

Savage 2012.

Study characteristics
Methods Study design
RCT
Funding
Not reported
Participants Description
Children aged 3 to 5 years attending full‐day childcare at the Child Development Laboratory located at The Pennsylvania State University
N (randomised)
21 children
Age
Child (mean): 4.3 years
Parent: not reported
% female
Child: 59%
Parent: not reported
SES and ethnicity
“most of the families (60%) reported combined family incomes of US>$50,000.”
Inclusion/exclusion criteria
“Exclusion criteria were the presence of food intolerance to study foods, chronic illness affecting food intake, consuming < 22 g of the entree (< 10% of the 220‐g entree portion), dislike of the main entree, uncooperative behavior during lunch, non‐English speaking, or extended absences.”
Recruitment
Not reported
Recruitment rate
Not reported
Region
Pennsylvania (USA)
Interventions Number of experimental conditions
6
Number of participants (analysed)
Overall = 17 (not specified by group)
Description of intervention
“Children were served a series of 6 lunches in a random order, once per week, which varied only in entrée portion size (entree portion size order: 100, 160, 220, 280, 320, and 400 g). Children were served lunch on the same day of the week at their regularly scheduled time in an eating laboratory dining room facility near their classroom.”
“The menu at all lunches included the portion‐manipulated macaroni and cheese entree and fixed portions of 2% milk and other foods served with the entree (eg, green beans with butter, whole‐wheat roll, and unsweetened applesauce).”
Duration
6 days
Number of contacts
6 (1 lunch per day)
Setting
Preschool
Modality
Face‐to‐face
Interventionist
Research staff
Integrity
No information provided
Date of study
2007
Description of control
N/A
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of fruit and vegetable for different entree portion sizes (grams). “Food and milk weights were recorded before and after consumption to the nearest 0.1 g by using digital scales (Mettler‐Toledo PR5001 and Mettler‐Toledo XS4001S; Mettler‐Toledo Inc). The amount of each food item consumed (g) was determined by subtracting postmeal weights from premeal weights.”
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
6 days
Length of follow‐up postintervention
Immediately
Subgroup analyses
None
Loss to follow‐up
Overall = 19% (not specified by group)
Analysis
Unknown if sample size calculations performed.
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomly allocated but the random sequence generation procedure is not described
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes Low risk Food and milk intake: objective measure of child’s food intake and unlikely to be influenced by performance bias
Blinding of outcome assessment (detection bias)
All outcomes Low risk Food and milk intake (weighed before and after consumption): objective measure of child’s food intake because food was weighed before and after consumption. Low risk of detection bias
Incomplete outcome data (attrition bias)
All outcomes Low risk There is no reported attrition. Data are reported for all of the 17 children who met predetermined inclusion criteria, very low risk of bias
Selective reporting (reporting bias) Unclear risk There is no study protocol therefore it is unclear if there was selective outcome reporting
Other bias Low risk Contamination bias that could threaten the internal validity is unlikely to be an issue

Segura‐Perez 2017.

Study characteristics
Methods Study design
RCT
Funding
“USDA Food and Nutrition Service via Cornell University”
Participants Description
Children < 5 years of age and their low‐income parent attending a SNAP‐Ed education session in Hartford, USA
N (randomised)
193 parent‐child dyads
Age
Child: < 5 years of age
Parent (mean): overall = 32 years
% female
Child: not reported
Parent: overall = 96%
SES and ethnicity
low income, 80% receiving ‘SNAP benefits’
“79% were Hispanic”
Inclusion/exclusion criteria
Inclusion criteria: “SNAP eligible participants with children under 5 years old living at home, Living in Hartford, CT, Having a cell phone with unlimited smart phone data plans.”
Exclusion criteria: “Not living in Hartford, Less than 18 years old.”
Recruitment
“Participants were recruited and screened for eligibility at WIC offices and other community settings”
Recruitment rate
83% (240/290)
Region
Hartford (USA)
Interventions Number of experimental conditions
2
Number of participants (analysed)
Overall = 169 (not specified by group)
Description of intervention
“four $5 coupons for use at the MM [mobile market] during the next 6 weeks plus a month of daily text messages informing them about MM stop locations, tips on preparing/eating more fruit and vegetables, and reminders to use their coupons.”
Duration
4 weeks
Number of contacts
Daily contacts for 1 month
Setting
Community
Modality
Text messaging
Interventionist
Not reported, assume researcher sends text messages
Integrity
No information provided
Date of study
October 2015 to September 2016
Description of control
“received text messages about free family community events.”
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of fruits and vegetables “measured with one question [for fruit / vegetable] about daily consumption of fruits from a seven item fruit and vegetable checklist developed by Townsend et.al.” completed as part of a telephone interview with parents
Outcome relating to absolute costs/cost‐effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
6 weeks
Length of follow‐up postintervention
2 weeks
Subgroup analyses
None
Loss to follow‐up (at 2 weeks)
Overall = 12% (not specified by group)
Analysis
Unknown if sample size calculation performed
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk The random sequence generation procedure is not described.
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed.
Blinding of participants and personnel (performance bias)
All outcomes High risk There is no indication whether participants were blind to group allocation and so judged to be at high risk of performance bias.
Blinding of outcome assessment (detection bias)
All outcomes High risk There is no mention that participants were blinded to group allocation and therefore the risk of detection bias for this self‐reported measure is high.
Incomplete outcome data (attrition bias)
All outcomes Low risk 169/193 (88%) completed the 6‐week follow‐up assessment, no ITT reported and so the risk of attrition bias is low.
Selective reporting (reporting bias) High risk Vegetable consumption (a primary outcome in the trial registration) is not reported in the published abstracts.
Other bias Low risk Delivered via text messages, low risk of contamination bias

Sherwood 2015.

Study characteristics
Methods Study design
RCT
Funding
“The project described was supported by grant numbers A1R21DK078239 (principal investigator [PI]: Sherwood), P30DK050456 (PI: Levine), and P30DK092924 (PI: Schmittdiel) from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK).”
Participants Description
Parents with children aged 2 to 4 years
N (randomised)
60 parent‐child dyads
Age
Child (mean): Busy Bodies/Better Bites = 2.60 years, Healthy Totes/Safe Spots: 2.90 years
Parent (mean): Busy Bodies/Better Bites = 34.4 years, Healthy Totes/Safe Spots = 33.4 years
% female
Child: Busy Bodies/Better Bites = 50%, Healthy Totes/Safe Spots = 40%
Parent: Busy Bodies/Better Bites = 97%, Healthy Totes/Safe Spots = 90%
SES and ethnicity
Child: Busy Bodies/Better Bites
White = 77%, Hispanic = 7%
Healthy Totes/Safe Spots
White = 83%, Hispanic = 7%
Inclusion/exclusion criteria
Inclusion criteria: BMI between eighty‐fifth and ninety‐fifth percentile for age and gender OR BMI between fiftieth and eighty‐fifth percentile and at least 1 overweight parent (BMI ≥ 25kg/m2) and receives care at a HealthPartners Clinic in the Twin Cities Metropolitan Area.
Exclusion criteria: children with chronic disease, children who within the last 6 months or currently taking Prednisone, Prednisolone, Decadron, families who have limited English skills, and families who plan to move out of the Metropolitan area within the next 6 months
Recruitment
“Parent‐child dyads were recruited through 20 clinics in the greater Minneapolis–St. Paul area
“…a study invitation letter was sent to parents. A subsequent phone call assessed interest and preliminary eligibility, confirmed in a home visit.”
Recruitment rate
94% (60/64)
Region
USA
Interventions Number of experimental conditions
2
Number of participants (analysed)
Busy Bodies/Better Bites: 26
Healthy Totes/Safe Spots: 29
Description of intervention
All participants received pediatric primary care provider counselling during their well‐child visit to raise parental awareness of their child’s obesity risk and provide messaging regarding obesity and injury prevention behaviours.
Busy Bodies/Better Bites: participants received an 8‐session phone‐coaching programme focused on healthy eating and PA and an associated workbook and busy bag, which included “a child focused book on television (TV) habits, activity and dinner table conversation idea cards, portion placement and plate, a kid‐friendly, healthy recipe pamphlet, small plastic cones, sidewalk chalk, stickers, a child‐focused dance music CD, and an inflatable beach ball.”
Healthy Totes/Safe Spots: participants received an 8‐session phone‐coaching programme focused on safety and injury prevention and an associated workbook and safety tote, which included “a similar number of items [to the busy bag] relevant to the safety and injury prevention topics (e.g. travel‐size sunscreen or fire safety book).”
Duration
6 months
Number of contacts
9 (1 primary care component and 8 phone coaching sessions)
Setting
Clinic and home
Modality
Multiple (face‐to‐face, telephone, written materials)
Interventionist
PCP (face‐to‐face) and experienced interventionists (telephone)
Integrity
Provider adherence: “Well‐child visit protocol adherence was assessed by phone survey with parents 1–2 weeks post‐well‐child visit. Parents reported whether their provider talked about BMI percentile, whether they received the HHHK pamphlet, and whether the provider addressed specific PA, sedentary behavior, healthy eating, and safety/injury prevention issues.”
Phone coaches: “Phone coaches completed a self‐assessment of session fidelity (e.g. use of behavioral adherence strategies and time spent discussing specific target areas) after each session. Phone sessions were audio recorded, and recordings were utilized during supervision sessions and subsequently coded by independent raters to provide a more in‐depth examination of fidelity.”
Well‐child visit intervention component: “Parents reported that 78% of providers discussed BMI percentile. The majority of parents (87%) received the HHHK pamphlet, but less than half (44%) reported that their provider used the HHHK flipchart. The most frequently discussed obesity prevention topics included fruit and vegetable intake (27%), PA (24%), junk food, including sweetened beverages (11%), and media use (7%). Fewer parents reported that the provider discussed family meals (5%), eating breakfast (4%), and eating out at restaurants (0%).”
“80% of participants in both arms completed the eight‐session intervention.”
Date of study
Not reported
Description of control
N/A
Outcomes Outcome relating to children's fruit and vegetable consumption
Consumption of fruits and vegetables (servings) using a multipass 24‐h recall completed by parents.
Outcome relating to absolute costs/cost‐effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
6 months
Length of follow‐up postintervention
Immediately
Subgroup analyses
None
Loss to follow‐up
Busy Bodies/Better Bites: 13%
Healthy Totes/Safe Spots: 3%
Analysis
Unknown if sample size calculation was performed.
Notes Sensitivity analysis ‐ primary outcome: primary outcome as per trial registry included fruit and vegetable intake
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Quote: “Sixty parent‐child dyads were randomized equally to the Busy Bodies/Better Bites Obesity Prevention and the Healthy Tots/Safe Spots Contact control arms.”
It is unclear how the randomisation occurred
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed from those conducting the research.
Blinding of participants and personnel (performance bias)
All outcomes High risk Quote: “After the well‐child visit, parents received a randomized group assignment notification letter…”
Quote: “Coaches worked with parents to address behavior change areas in order of parent preference, setting goals and discussing challenges and successes at subsequent sessions.”
Participants were aware of their group allocation. Due to the nature of the intervention, staff would also have been aware of participant group allocation.
Blinding of outcome assessment (detection bias)
All outcomes High risk Quote: “A multipass 24‐hour dietary recall was administered by staff trained and certified to use the Nutrition Data System for Research software versions 2009, 2010, and 2011”
It is unclear whether outcome assessors visiting the home were aware of group allocation. Parents self‐reported child dietary intake.
Incomplete outcome data (attrition bias)
All outcomes Low risk The number of parents who completed the follow‐up assessments is reported and there was only a small loss to follow‐up that was similar across experimental arms.
Selective reporting (reporting bias) Low risk All outcomes reported as per protocol, except for “Paediatrician participation and satisfaction at 6 months” This was reported after 3 HHHK visits, not at 6 months.
Other bias Low risk No other bias was identified.

Skouteris 2015.

Study characteristics
Methods Study design
RCT
Funding
"Australian Research Council Linkage Grant (ARC LP100100049)"
Participants Description
Children aged 20 to 42 months and their parent
N (randomised)
201 parent‐child dyads
Age
Child (mean): intervention = 2.7 years, control = 2.8 years
Parent (mean): intervention = 35 years, control = 35 years
% female
Child: intervention = 49%, control = 37%
Parent: not reported
SES and ethnicity
Parent: highest level of education
Bachelor degree or higher: intervention = 57%, control = 60%
Annual family income (AUD)
AUD < 450,000: intervention = 14%, control = 21%
AUD 45,001 to 85,000: intervention = 41%, control = 33%
AUD 85,001 to 125,000: intervention = 27%, control = 27%
AUD > 125,000: intervention = 17%, control = 19%
Location of parents' birth
Australia or New Zealand: intervention = 77%, control = 74%
Europe: intervention = 3%, control = 4%
Asia: intervention = 11%, control = 9%
Inclusion/exclusion criteria
Inclusion criteria: “Families were eligible if their child was aged 20–42 months at baseline (waitlist children would still be ≤ 4 years when receiving the programme), and if parents were aged ≥ 18 years and could read and write English (with the assistance of an interpreter if required). There were no other qualifying or exclusion criteria.”
Recruitment
“We sourced participants through community events, local newspaper and magazine advertisements, flyers distributed through kindergartens/pre‐schools/childcares, maternal and child health centres, and medical centres.”
Recruitment rate
Parent‐child dyads = 97% (201/207)
Region
Victoria (Australia)
Interventions Number of experimental conditions
2
Number of participants (analysed)
Time 2: intervention = 80, control = 72
Time 3: intervention = 74, control = 69
Time 4: intervention = 73, control = 63
Description of intervention
MEND (Mind, Exercise, Nutrition…Do it!) 2 to 4 intervention: “Each session included three sections: (i) 30 min of guided active play; (ii) 15 min of healthy snack time based on an evidence‐based, exposure technique to promote acceptance of fruit and vegetables and (iii) 45 min of supervised creative play activities for the children while parents attended an interactive education and skill development session. Guided active play involved games played with children and parents together that could be easily replicated at home. Healthy snack time centred on a role model (puppet called ‘Max Moon’) who encouraged children to sniff, touch, lick and taste fresh fruit and vegetables. Parents received weekly handouts.”
Duration
10 weeks
Number of contacts
10 (1 per week, 90 minutes a session)
Setting
Community health centres
Modality
Face‐to‐face
Interventionist
Trained program leader
Integrity
“Programme leaders were monitored regularly to ensure their practice was in accordance with guidelines.”
Date of study
Between May 2010 and December 2012
Description of control
Wait‐list control:
"The WLC group did not receive any intervention, but were offered the programme at study completion.”
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of fruit and vegetables (usual servings) assessed by the Eating and Physical Activity Questionnaire completed by parents.
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
Postintervention: 10 weeks
Time 2: ~ 8 to 9 months
Time 3: ~ 15 months
Length of follow‐up postintervention
Immediately
Time 2: 6 months
Time 3: 12 months
Subgroup analyses
None
Loss to follow‐up (Immediately postintervention and at 6 and 12 months)
Intervention = 12%, 4%, 4%
Control = 5%, 6%, 6%
Analysis
Sample size calculations performed
Notes First reported outcome (usual servings a day of vegetables) at the longest follow‐up < 12 months (6 months) and ≥ 12 months (12 months) was extracted for inclusion in meta‐analysis
Sensitivity analysis ‐ primary outcome: fruit or vegetable intake listed as primary outcome in trial registry.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Quote: ”conducted by a researcher not involved in data management using a randomized treatment allocation schedule produced by computer algorithm.”
The random sequence was produced by computer algorithm
Allocation concealment (selection bias) Unclear risk Although the authors indicate that participants were informed of group allocation by opaque envelopes, there is no indication if these envelopes were sealed and sequentially numbered
Blinding of participants and personnel (performance bias)
All outcomes High risk Dietary intake (includes fruit and vegetables): there is no blinding to group allocation of participants described and this is likely to influence performance
Blinding of outcome assessment (detection bias)
All outcomes High risk Dietary intake (includes fruit and vegetables) (self‐report): there is no blinding to group allocation of participants described and because of the self‐report measure this is likely to influence detection bias
Incomplete outcome data (attrition bias)
All outcomes Low risk Attrition rate was < 20% at follow‐up T4 and missing values of baseline measurements were imputed using mean imputation
Selective reporting (reporting bias) Unclear risk Quote: “Outcomes not addressed here will be presented in future papers.”
Insufficient evidence to determine, as it appears that future papers with additional outcomes are planned
Other bias Low risk Contamination bias that could threaten the internal validity is unlikely to be an issue

Smith 2017.

Study characteristics
Methods Study design
C‐RCT
Funding
Not reported
Participants Description
Low socio‐economic children aged 3‐5 years attending Head Start preschools in Marion County, Ohio
N (randomised):
4 Head Start centres, 240 children
Age
Child: “All clusters combined had a total of 80 (38.3%) three year old children, 116 (55.5%) four year old children, and 13 (6.2%) five year old children in the study sample.”
Parent: not reported
% female
Child: access‐only cluster = 56%, access and education = 45%, control = 55%
Parent: not reported
SES and ethnicity
Child: low socio‐economic
“There were 9 (4.3%) Hispanic children, 152 (72.7%) white children, 36 (17.2%) multi‐racial, and 12 (5.7%) black children in the study sample”
Inclusion/exclusion criteria
No explicit inclusion criteria
Exclusion criteria: “Children or parents were excluded if a medical issue prohibited them from participating in the study. Children who were unable to eat solid foods were asked not to participate in this study. Children with chronic diseases, such as diabetes, were excluded from the study, as children with chronic diseases are known to have reduced carotenoid concentrations”
Recruitment
“Participants were recruited from the Head Start program in a rural county in Ohio during the fall of 2016."
Recruitment rate
Chiled: 83% (240/290)
Region
Marion County, Ohio
Interventions Number of experimental conditions
3
Number of participants (analysed)
Access only = 61
Access and education = 82
Control = 66
Description of intervention:
Access only: “received the take home weekly fruits and vegetables, without the educational intervention.”
Access and education: “received weekly take home fruits and vegetables, education for the children, and supplemental materials, such as newsletters and recipes, for the families about the produce being provided.”
The Supplemental Nutrition Assistance Program Education (SNAP‐Ed) was provided each week. “The Harvest for Healthy Kids curriculum was used and each week the focus was on a high carotenoid fruit or vegetable. Storybooks, activities such as making pumpkin pudding in a bag, and tastings were the foundation of the class sessions.”
Duration
8 weeks
Number of contacts
8
Setting
Preschool and home
Modality
Access only: provision of fruit and vegetable
Access and education: multiple (provision of fruit and vegetable, face‐to‐face education, written materials)
Interventionist
Access only: unclear
Access and education: Supplemental Nutrition Assistance Program Education (SNAP‐Ed) programme staff member delivered education
Integrity
No information provided
Date of study
October to December 2016
Description of control
“the control group did not receive either the produce or education during the eight weeks.”
“The group received education following the study.”
Outcomes Outcome relating to children's fruit and vegetable consumption
Consumption of fruit and vegetable consumption measured by carotenoid levels in the skin
Outcome relating to absolute costs/cost‐effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
8 weeks
Length of follow‐up postintervention
Immediately
Subgroup analyses
None
Loss to follow‐up
Access only = 18%
Access and education = 10%
Control = 12%
Analysis
Adjusted for clustering
Sample size calculations performed
Notes We included the access + education intervention arm compared to the no‐intervention control group in meta‐analysis of multicomponent interventions. We described the access‐only intervention compared to the no‐intervention control group narratively.
We calculated effective sample size at follow‐up using an ICC of 0.0379, as reported in Smith 2019, to enable inclusion in meta‐analysis.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Quote: “Classrooms were randomly assigned to 1 of 3 groups: comparison (6 classrooms), treatment A (access; 5 classrooms), and treatment B (access plus education; 6 classrooms)." Randomly allocated to experimental group but the random sequence generation procedure is not described.
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed.
Blinding of participants and personnel (performance bias)
All outcomes Low risk Participants and researchers were not blinded to treatment. Objective biomedical measure and unlikely to be influenced by performance bias
Blinding of outcome assessment (detection bias)
All outcomes Low risk Objective measure of carotenoid concentrations in the skin
Incomplete outcome data (attrition bias)
All outcomes Low risk 13% attrition (31/240). Similar among groups; access only = 18%, access + education = 10%, control = 12%
Selective reporting (reporting bias) Unclear risk No trial protocol is available
Other bias Low risk Recruitment bias (low risk): baseline measurements were completed before randomisation
Baseline imbalance (low risk): “Demographic variables were not significantly different among groups”
Loss of clusters (low risk): no evidence of loss of clusters
Incorrect analysis (low risk): Analysis in Smith 2017 does not appear to account for clustering, however Smith 2019 analysis does account for clustering
Contamination bias (low risk): randomised by classroom, contamination is unlikely an issue

Spill 2010.

Study characteristics
Methods Study design
C‐RCT– cross‐over
Funding
"Supported by the National Institute of Diabetes and Digestive and Kidney Diseases (R01 DK082580) and the Robert Wood Johnson Foundation"
Participants Description
Children aged 3 to 6 years enrolled in daycare at the Bennett Family Center on campus at The Pennsylvania State University
N (randomised)
5 classrooms, 51 children
Age
Child (mean): 4.4 years
Parent: not reported
% female
Child: 57%
Parent: not reported
SES and ethnicity
Child: “Of the 51 children in the study, 46 parents provided demographic information for their children. Of these 46 children, 28 (61%) were white, 14 (30%) were Asian, 3 (7%) were black or African American, and 1 (2%) was American Indian or Alaska Native.”
Parent: “Parents of the children had above‐average educational levels and household incomes; 90% of mothers and 85% of fathers had a college degree, and 79% of households had an annual income >$50,000.”
Inclusion/exclusion criteria
Provided by study author: "Children with an allergy to the foods being served were not eligible to participate in the study. Parents and guardians provided informed written consent for both their own participation and that of their child."
Recruitment
“Recruitment began in April 2008 by distributing letters to parents who had children aged 3–6 years enrolled in daycare at the Bennett Family Center at the University Park campus of The Pennsylvania State University.”
Recruitment rate
Provided by study author: "100% of children whose parents signed consent form were included in the study"
Region
Pennsylvania (USA)
Interventions Number of experimental conditions
4
Number of participants (analysed)
Overall = 51
Description of intervention
One day a week for 4 weeks, children were provided with a first course and main course at lunch. Across the weeks the portion size of raw carrots and dip served as the first course of lunch was varied (30 g, 60 g, or 90 g) and during 1 week no first course was provided. Cooked broccoli was served as the vegetable with the main lunch course
Duration
4 weeks
Number of contacts
4 (1 day a week)
Setting
Preschool
Modality
Face‐to‐face
Interventionist
Preschool teacher
Integrity
Provided by study author: "All children were served the food assigned in the experimental condition. There was no deviation from study protocol. No unplanned or unintended interventions."
Date of study
Recruitment began in April 2008
Description of control
N/A
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of vegetables for different first course portion sizes (grams). “Uneaten items were removed, and weights were recorded to the nearest 0.1 g with digital scales. Consumption of the foods and milk was determined by subtracting postmeal weights from premeal weights.”
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
Unclear
Length of follow‐up postintervention
Immediately
Subgroup analyses
Provided by study author: "Differences between girls and boys in age, body weight, height, BMI percentile, and BMI z‐score were analyzed by using T tests. Analysis of covariance was used to assess the influence of continuous variables (age, body weight, height, BMI percentile, and BMI z‐score) on the relation between carrot portion size and the main study outcomes. Children who consumed all of the carrots (95% of the weight served) at any meal were identified, and data were analyzed both with and without these children to determine whether they influenced the results. The effect of individual children who were influential on the main study outcomes was assessed."
Loss to follow‐up
There was no loss to follow‐up
Analysis
Unclear if adjusted for clustering
Sample size calculations performed.
Notes Sensitivity analysis ‐ primary outcome: vegetable intake listed as primary outcome in trial registry.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Quote: “Children were enrolled from 5 classrooms; the order of the experimental conditions across study weeks was assigned to classrooms by using a Latin square design.”
Provided by study authors: "The orders of the experimental conditions across study weeks were created using Latin squares and then assigned to classrooms using a random number generator."
Allocation concealment (selection bias) Unclear risk It is not clear who undertook randomisation of classrooms.
Provided by study authors: "Classrooms (and the associated condition order) were assigned a color coding so that participants and teachers were uninformed of the experimental condition."
Blinding of participants and personnel (performance bias)
All outcomes Low risk Quote: “Incidents of food and drink spillage were recorded by researchers. Teachers were instructed to redirect conversations pertaining to food to nonfood‐related topics to minimize the influence on lunch intake.”
Objective outcome measurement. Children were not blinded and it seems unlikely that this would influence their intake. Staff present during the meal and staff who served the food to children were not blinded and it seems unlikely this would influence child intake
Blinding of outcome assessment (detection bias)
All outcomes High risk Quote: “Uneaten items were removed, and weights were recorded to the nearest 0.1 g with digital scales”. “Incidents of food and drink spillage were recorded by researchers.”
Appears that researchers who weighed the food were the same researchers who recorded incidents of food and drink spillage. Researchers were not blinded and this may have had an impact on how the outcome was recorded in different classrooms
Incomplete outcome data (attrition bias)
All outcomes Low risk “A total of 51 children were enrolled, and all of them completed the study”
There were no children who dropped out over the study, very low risk of bias
Selective reporting (reporting bias) Low risk There is no study protocol and unable to determine if all prespecified outcomes have been reported as described
Provided by study authors: "All outcomes collected were reported in the paper (vegetable and food intake)"
Other bias Low risk There are no other sources of potential bias

Spill 2011a.

Study characteristics
Methods Study design
RCT – cross‐over
Funding
Provided by study author: "Supported by the National Institute of Diabetes and Digestive and Kidney Diseases (R01 DK082580)."
Participants Description
Children aged 3 to 6 years attending 2 daycare centres at the University Park campus of The Pennsylvania State University
N (randomised)
49 children
Age
Child (mean): 4.7 years
Parent: not reported
% Female
Child: 54%
Parent: not reported
SES and ethnicity
Child: “Of the 39 children, 28 children (72%) were white, 9 children (23%) were Asian, and 2 children (5%) were black or African American.”
Parent: “Parents of the children had above average education levels and household incomes; ~90% of mothers and 80% of fathers had a college degree, and 76% of households had an annual income >$50,000.”
Inclusion/exclusion criteria
Provided by study author: "Children with an allergy to the foods being served were not eligible to participate in the study. Parents and guardians provided informed written consent for both their own participation and that of their child."
Recruitment
“Recruitment began by distributing letters to parents with children aged 3–6 years who were enrolled in daycare at the Bennett Family Center or the Child Development Laboratory at the University Park campus of The Pennsylvania State University.”
Recruitment rate
Provided by study author: "100% of children whose parents signed consent form were included in the study"
Region
Pennsylvania (USA)
Interventions Number of experimental conditions
3
Number of participants (analysed)
Overall = 39
Description of intervention
“The 3 experimental entrees were manipulated by adding pureed vegetables to a standard recipe (100% energy dense (ED) condition) to reduce the ED by either 15% (85% ED condition) or 25% (75% ED condition). Manipulated entrees were zucchini bread at breakfast, pasta with tomato‐based sauce at lunch, and chicken noodle casserole at dinner and evening snack.”
In addition unmanipulated side dishes and snacks were served, including fruit, vegetables, milk and cheese and crackers
Duration
3 weeks
Number of contacts
3 (1 day a week)
Setting
Preschool
Modality
Face‐to‐face
Interventionist
Provided by study author: "Preschool teacher"
Integrity
Provided by study author: "All children were served the food assigned in the experimental condition. There was no deviation from study protocol. No unplanned or unintended interventions."
Date of study
Between January and May 2010
Description of control
N/A
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of vegetable for difference energy density entrees (grams). “Food and beverage weights were recorded to the nearest 0.1 g with digital scales (PR5001 and XS4001S; Mettler‐Toledo Inc). The consumption of foods and beverages was determined by subtracting postmeal weights from premeal weights.”
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Effect of intervention on amount of meal consumed
Length of follow‐up from baseline
Unclear
Length of follow‐up postintervention
Immediately
Subgroup analyses
Provided by study author: "ANCOVA was used to assess the influence of continuous subject variables (age, body weight, height, and BMI percentile) on the relation between entree energy dense (ED) and the main study outcomes. T tests were used to test differences between girls and boys in ages, body weights, heights, BMI percentiles, and BMI z scores."
Loss to follow‐up
Overall = 18%
Analysis
Sample size calculations performed
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk The random sequence was generated with computer software
Allocation concealment (selection bias) Unclear risk Quote: ”Random orders were generated with computer software and assigned to a list of participant identification numbers”
The random sequence was assigned to a list of participant identification number, but it is unclear if allocation was concealed.
Provided by study author: "Allocation was concealed to participants and teachers by assigning each child an ID number that was associated with their random order."
Blinding of participants and personnel (performance bias)
All outcomes Low risk Vegetable intake:
Objective measure of child’s vegetable intake and unlikely to be influenced by performance bias
Blinding of outcome assessment (detection bias)
All outcomes Low risk Vegetable intake:
Objective measure of child’s vegetable intake and unlikely to be influenced by detection bias
Incomplete outcome data (attrition bias)
All outcomes High risk 49 children were enrolled, but 9 were excluded because they had difficulty following the protocol. Given an intention‐to‐treat approach to analysis was not used, the risk of attrition bias is high
Selective reporting (reporting bias) Low risk The primary outcomes reported in the paper align with those specified in the trial registration
Other bias Low risk Contamination bias that could threaten the internal validity is unlikely to be an issue

Spill 2011b.

Study characteristics
Methods Study design
C‐RCT– cross‐over
Funding
Provided by study author: "Supported by the National Institute of Diabetes and Digestive and Kidney Diseases (R01 DK082580)."
Participants Description
Children aged 3 to 5 years attending 2 daycare centres at the University Park campus of The Pennsylvania State University
N (randomised)
5 classrooms, 73 children
Age
Child: range 3.3 to 5.7 years (mean = 4.7 years)
Parent: not reported
% female
Child: 57%
Parent: not reported
SES and ethnicity
Child: “Parents provided demographic information for 66 of the 72 children; of these, 42 (67%) were white, 17 (27%) were Asian, and 4 (6%) were black or African American”
Parent: “Parents of the children had above average education levels and household incomes; approximately 95% of mothers and 88% of fathers had a college degree and 70% of households had an annual income above $50,000.”
Inclusion/exclusion criteria
Provided by study author: "Children with an allergy to the foods being served were not eligible to participate in the study. Parents and guardians provided informed written consent for both their own participation and that of their child."
Recruitment
“Recruitment began by distributing letters to parents who had children within the age range of three to six years enrolled in two daycare centers on the University Park campus of The Pennsylvania State University.”
Recruitment rate
Provided by study author: "100% of children whose parents signed consent form were included in the study"
Region
Pennsylvania (USA)
Interventions Number of experimental conditions
4
Number of participants (analysed)
Overall = 72
Description of intervention
“On one day a week for four weeks, children in a daycare setting were provided with breakfast, lunch, and afternoon snack. Across the weeks, the portion size of soup (tomato soup) served in the first course of lunch was varied (150, 225, or 300 g) and during one week no first course was provided. The foods and beverages served in the main course of lunch, as well as the foods and beverages served at breakfast and snack, were not varied in portion size.”
Duration
4 weeks
Number of contacts
4 (1 day per week)
Setting
Preschool
Modality
Face‐to‐face
Interventionist
Teachers
Integrity
No information provided.
Date of study
Provided by study author: "Data was collected from Dec. 2008 to Mar. 2009."
Description of control
N/A
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of vegetable (grams): tomato consumed from soup and broccoli from main course, broccoli only, afternoon snack, total (soup, broccoli and afternoon snack). Portion sizes of foods were provided and researchers recorded the amount consumed
Outcome relating to absolute costs/cost effectiveness of interventions
Provided by study author: "Outside scope of this study; data not collected"
Outcome relating to reported adverse events
Provided by study author: "Outside scope of this study; data not collected"
Length of follow‐up from baseline
Unclear
Length of follow‐up postintervention
Immediately
Subgroup analyses
Provided by study author: "Analysis of covariance was used to assess the influence of continuous subject variables (age, body weight, height, and BMI percentile) on the relationship between soup portion size and the main study outcomes. T‐tests were used to test differences between girls and boys in age, body weight, height, and BMI percentile."
Loss to follow‐up
Overall = 1%
Analysis
Provided by study author: "Classroom was tested as a factor in the model, but it was not significant and was removed."
Sample size calculations performed.
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Provided by study author:
Quote: "The orders of the experimental conditions across study weeks were created using Latin squares and then assigned to classrooms using a random number generator."
Allocation concealment (selection bias) Unclear risk Provided by study author:
Quote: "Classrooms (and the associated condition order) were assigned a color coding so that participants and teachers were uninformed of the experimental condition."
Blinding of participants and personnel (performance bias)
All outcomes Low risk Vegetable intake: objective measure of child’s vegetable intake and unlikely to be influenced by performance bias
Blinding of outcome assessment (detection bias)
All outcomes Low risk Vegetable intake: researchers recorded the number of pieces of each food item taken by the child and it is unlikely that this would be influenced by detection bias
Incomplete outcome data (attrition bias)
All outcomes Low risk 72 out of 73 children were included in the vegetable intake analysis and therefore the risk of attrition bias is low
Selective reporting (reporting bias) Low risk Provided by study author: "All outcomes collected were reported in the paper (soup and food intake)"
Other bias Low risk Contamination, baseline imbalance, & other bias that could threaten the internal validity are unlikely to be an issue

Staiano 2016.

Study characteristics
Methods Study design
RCT
Funding
“AES is supported, in part, by the 1 U54 GM104940 grant from the National Institute of General Medical Sciences of the National Institutes of Health, which funds the Louisiana Clinical and Translational Science Center (July, 2015 to June, 2017).”
Participants Description
Children aged 3 to 5 years attending at 2 full‐day preschools
N (randomised)
42 children
Age
Child (mean): food modelling DVD = 4.5 years, non‐food DVD = 4.1 years, no DVD (Control) = 4.3 years
Parent: not reported
% female
Child: 50%
Parent: not reported
SES and ethnicity
Child: White = 74%, African American = 5%, Asian = 10%, Hispanic = 10%
Inclusion/exclusion criteria
Not reported
Recruitment
Not reported
Recruitment rate
Child: 39% (42/108)
Preschool: not reported
Region
LA (USA)
Interventions Number of experimental conditions
3
Number of participants (analysed)
Food modelling DVD = 14
Non‐food DVD = 14
No DVD (Control) = 14
Description of intervention
Food modelling group = Copy‐Kids Eat Fruits and Vegetables DVD
Non‐food DVD group = Copy‐Kids Brush Teeth.
Day 1: “Depending on the condition, on day 1 the child viewed 1 of 2 video clips or sat quietly for 7.5 minutes. Two plates of snacks (the modelled vegetable and a comparison food) were placed in front of the participant in a standardized format (green bell peppers on the right and dry cereal on the left) on separate, identical white Styrofoam plates. Children were instructed to eat as much or as little as they wished during this time. The video segments were played concurrently during the food presentation”
Day 2 and 7: “food items were presented for 7.5 minutes without the concurrent video presentation”.
Duration
1 week ± 2 days
Number of contacts
3
Setting
Preschool
Modality
Visual/audio ‐ DVD
Interventionist
Unclear
Integrity
No information provided
Date of study
Not reported
Description of control
No DVD control: food items were presented the same way as in the intervention but no DVD was played on any of the 3 exposure days
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of vegetable (grams). “Study staff weighed 0.5 cups of the modeled vegetable (ie, approximately 80 g of raw, sliced green bell pepper) and 0.5 cups of the comparison food (ie, approximately 16 g of Multi Grain Cheerios; General Mills, Minneapolis, MN) using a transportable scale before and after snack presentation on days 1, 2, and 7.”
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
1 week ± 2 days
Length of follow‐up postintervention
Immediately
Subgroup analyses
None
Loss to follow‐up
There was no loss to follow‐up
Analysis
Unknown if sample size calculations performed.
Notes Outcome data from the longest follow‐up < 12 months (day 7). We estimated the mean and SEM from a study figure using an online resource (Plot Digitizer: plotdigitizer.sourceforge.net) for all 3 groups. We combined the control DVD and control conditions into a single control group for inclusion in meta‐analysis.
Sensitivity analysis ‐ primary outcome: primary outcome not stated, fruit or vegetable intake first listed outcome in abstract
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Quote: “used block randomization to distribute age and sex evenly across conditions using a randomization schedule generated with SAS programming”
The random sequence was generated using statistical software, SAS
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes Unclear risk Vegetable intake (weighed): objective measure of child’s vegetable intake and unlikely to be influenced by performance bias
Parent reported fruit and vegetable consumption: there is no blinding to group allocation of participants or personnel described and this is likely to influence performance. However, it does appear that parents were blinded to the food provided to their children. Quote: “Researchers did not inform parents regarding which foods were presented to the children.”
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Vegetable intake (weighed): objective measure of child’s vegetable intake and unlikely to be influenced by detection bias
Parent reported fruit and vegetable consumption: there is no blinding to group allocation of participants or personnel described and these are self‐reported measures. However,
Quote: “Researchers did not inform parents regarding which foods were presented to the children.”
Incomplete outcome data (attrition bias)
All outcomes Low risk All participants randomised completed the study. Therefore very low risk of attrition bias
Selective reporting (reporting bias) Unclear risk There is no study protocol therefore it is unclear if there was selective outcome reporting
Other bias Unclear risk The authors state that limitations included potential for within‐school contamination across conditions. No other evidence presented about this potential bias

Sullivan 1994.

Study characteristics
Methods Study design
RCT
Funding
Supported by the Gerber Products company and National Institutes of Health Grant 2RO0HD197S2‐07
Participants Description
Mothers and their 4 to 6‐month old infants
N (randomised)
36 children
Age
Child (mean): 22 weeks (17 to 27 weeks)
Parent: not reported
% Female
Child: 56%
Parent: 100%
SES and ethnicity
Not reported
Inclusion/exclusion criteria
“The 36 infants and their mothers who participated met the following criteria: 1. Infants were between 4 and 6 months of age at the beginning of the study; 2. Parents had just begun feeding solid foods and had only given cereals or cereals and fruits; 3. Parents indicated readiness to begin or continue introducing solid foods to the infant; and 4. Absence of medical complications or physical problems.”
Recruitment
“Subjects were solicited through birth records and advertisements in local newspapers.”
“Parents were contacts and informed of the study before the time their infants would be expected to be introduced to solid foods and contact was reestablished when they were ready to participate.”
Recruitment rate
Not reported
Region
USA
Interventions Number of experimental conditions
4
Number of participants (analysed)
Peas salted: 9
Peas unsalted: 10
Green beans salted: 8
Green beans unsalted: 9
Description of intervention
“Foods used throughout the study, pureed peas and green beans, were prepared especially for the study by the Gerber Products Company. Salted and unsalted versions of the two vegetables were prepared. The salted version of each food contained 0.3g NaCI/100g. The foods were presented to the mothers in jars, containing 71g of food and labels did not indicate the presence or absence of salt.”
Duration
10 days
Number of contacts
10 (once per day)
Setting
Home
Modality
Face‐to‐face
Interventionist
Parents
Integrity
“On each feeding occasion, parents completed a brief form noting information on the number of the jar used (1through 10), date of feeding, time at the start and end of the feed, infant state of alertness at the beginning of the feed, health of the infant, and the overall quality of the interaction during the feeding.”
Date of study
Not reported
Description of control
N/A
Outcomes Outcome relating to children's fruit and vegetable consumption
Children’s consumption of vegetable (grams): weighed jars of off before feeding session, resealed and frozen once feeding was finished. Jars collected and weighed by research team to determine grams of intake.
Outcome relating to absolute costs/cost‐effectiveness of interventions
Not reported
Outcome relating to reported adverse events
No adverse reactions were observed
Length of follow‐up from baseline
25 days
Length of follow‐up postintervention
Immediately and at 1 week
Subgroup analyses
None
Loss to follow‐up
There was no loss to follow‐up
Analysis
Unknown if sample size calculation was performed
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Quote: “The 36 infants were randomly assigned to receive either salted or unsalted peas or green beans; thus forming a total of four treatment groups.”
No mention of how the randomisation sequence was generated.
Allocation concealment (selection bias) Unclear risk There is no mention of allocation concealment.
Blinding of participants and personnel (performance bias)
All outcomes Low risk Quote: “The foods were presented to the mothers in jars, containing 71 g of food, and labels did not indicate the presence or absence of salt.”
Blinding of outcome assessment (detection bias)
All outcomes Low risk Quote: “All ratings were made while mothers and the research assistant were blind to whether infants were fed peas or beans, whether the feedings observed occurred before or after the repeated exposures, and whether or not the infants were being fed salted or unsalted vegetables.”
Incomplete outcome data (attrition bias)
All outcomes Low risk There is no attrition reported.
Selective reporting (reporting bias) Unclear risk There is no trial registration or protocol paper.
Other bias Low risk No other sources of bias were identified.

Tabak 2012.

Study characteristics
Methods Study design
RCT
Funding
“Funding for this research was provided by an unrestricted grant from ‘‘Get Kids in Action,’’ a partnership between the Gatorade Corporation and the University of North Carolina.”
Participants Description
Children aged 2 to 5 years and their parent
N (randomised)
50 parent‐child dyads
Age
Child (mean): intervention = 3.9 years, control = 3.3 years
Parent (mean): intervention = 36.6 years, control = 36.2 years
% female
Child: intervention = 59%, control = 67%
Parent: intervention = 86%, control = 90%
SES and ethnicity
Parent: Income (USD)
< 50,000: intervention = 18%, control = 81%
≥ 50,000: intervention = 77%, control = 19%
Education
College or less: intervention = 36%, control = 43%
Non‐white: intervention = 18%, control = 10%
Inclusion/exclusion criteria
At least 1 child 2 to 5 years old, “Additional eligibility criteria included having lived in their current residence and planning to stay in that residence for at least 6 months. If the family had more than 1 eligible child, the eldest was selected as the reference child”
Recruitment
“A convenience sample of 50 parent‐child dyads, with at least 1 child 2‐5 years old, was recruited through child care centers, listservs, and community postings. Interested parents responded to recruitment materials and were screened by phone.”
Recruitment rate
Not reported
Region
USA
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention = 22, control = 21
Description of intervention
“addressed vegetable and food issues based on the baseline surveys, and the dietitian helped parents select 1 primary target area for improvement during the intervention from 4 possible options (vegetable availability; picky eating; modeling; family meals). These areas were selected based on Social Cognitive Theory, which posits that there is reciprocal interaction between an individual and his/her environment. This theory also highlights the importance of self‐efficacy, which was thus a target of the intervention as well.”
Duration
4 months
Number of contacts
6 (2 phone calls, 4 newsletters)
Setting
Home
Modality
Multiple (telephone, newsletters)
Interventionist
A registered dietitian
Integrity
No information provided
Date of study
April and December 2009
Description of control
“Control group families received 4 non‐health/nutrition related children's books, 1 per month.”
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of vegetables (servings per day) assessed using a Block Kids food frequency questionnaire (FFQ) completed by parents.
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
5 months
Length of follow‐up postintervention
Immediate
Subgroup analyses
None
Loss to follow‐up
Intervention = 12%, control = 16%
Analysis
Unknown if sample size calculations performed
Notes To enable inclusion in meta‐analysis, we calculated postintervention means by group by summing baseline and change from baseline means, and assumed baseline SDs for postintervention SDs.
Sensitivity analysis ‐ primary outcome: primary outcome not stated, fruit or vegetable intake second listed outcome after height and weight
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomly allocated to experimental group but the random sequence generation procedure is not described
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes High risk Child vegetable intake (parent reported): there is no blinding to group allocation of participants or personnel described and this is likely to influence performance
Blinding of outcome assessment (detection bias)
All outcomes High risk Child vegetable intake (parent reported): there is no blinding to group allocation of participants or personnel described and because this is a parent‐reported measure at high risk of detection bias
Incomplete outcome data (attrition bias)
All outcomes Low risk 43 (86%) of the 50 parent‐child dyads recruited completed the study. Therefore at low risk of attrition bias
Selective reporting (reporting bias) Unclear risk There is no study protocol therefore it is unclear if there was selective outcome reporting
Other bias Low risk Contamination bias that could threaten the internal validity is unlikely to be an issue

Vazir 2013.

Study characteristics
Methods Study design
C‐RCT
Funding
“Indian Council of Medical Research, India and the NIH/NICHD (5 R01 HD042219‐S1); additional funding from UNICEF, New York.”
Participants Description
Mothers and their infants from 60 villages in India
N (randomised)
60 villages (clusters), 607 mother‐infant dyads
Age
Child: “The intervention began with infants are about 3 months old”
Parent (mean): Complementary feeding group = 22.3 years, responsive complementary feeding and play group = 22.3 years, control group = 21.9 years
% Female
Child: complementary feeding group = 52%, responsive complementary feeding and play group = 51%, control group = 49%
Parent: 100%
SES and ethnicity
Parent: maternal education levels
% mothers finished secondary or high school: complementary feeding group = 25%; responsive complementary feeding and play group = 32%; control group = 27%
Mean standard of living index score: complementary feeding group = 25.6, responsive complementary feeding and play group = 25.3, control group = 26.3
Inclusion/exclusion criteria
Inclusion: had to be part of the ‘Integrated Child Development Services’ project areas, be pregnant in their third trimester
No exclusion criteria mentioned in text but in figure states “excluded as per criteria: microcephaly, physical handicap, mother mentally handicapped, cerebral palsy, thalassemia, child passes away.”
Recruitment
“We explained the study objectives to all the pregnant women in the villages and asked if they would like to participate in the study. There were no refusals.”
Recruitment rate
Child: 100%
Villages: not reported
Region
India
Interventions Number of experimental conditions
3
Number of participants (analysed)
Complementary feeding group = 170
Responsive complementary feeding and play group = 145
Control group = 168
Description of intervention
Complementary feeding group: “In addition to the ‘Integrated Child Development Services’, mothers in this group received 11 nutrition education messages on sustained breastfeeding and complementary feeding through twice‐a‐month or four times a month (depending on the age of the infant) home‐visits over 12 months by the trained village women using flip charts, other visual material, demonstrations and counselling sessions.”
Responsive complementary feeding and play group: “In addition to the ‘Integrated Child Development Services’, mothers in this group received education on complementary feeding as in the complementary feeding group (11 messages), eight messages and skills on responsive feeding, and eight developmental stimulation messages using five simple toys. This group of mothers also received developmentally appropriate toys five times during the intervention with instructions on how to use them to engage and play with their children.”
Duration
12 months
Number of contacts
30 planned visits “The first visits were in the fourth month, after the baseline when infants were 3 months old. From 4 to 6 months, mothers were visited twice per month, or 6 visits; from 7 to 9 months, they were visited 4 times a month, or 12 visits; and from 10 to 14 months, they were visited twice a month, or 12 visits,”
Setting
Home and centre‐based supplemental food
Modality
Face‐to‐face
Interventionist
The trained village women
Integrity
“Trained graduates in nutrition supervised the village women, examined their records of visits and asked mothers independently what they were told in the village woman’s’ last visit. They also held periodic reinforcement training sessions with the village women.”
Date of study
Not reported
Description of control
“Control group (CG): Mothers and infants in this group received only the routine ‘Integrated Child Development Services’, which were operating across all study groups. These services consist mainly of centre‐based supplemental food provided to 1–6‐year‐olds, pregnant and nursing mothers, home‐visit counselling on breastfeeding and complementary feeding, monthly growth monitoring, and non‐formal preschool education for children 3–5 years of age.”
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of banana, spinach, pulses (legumes): “Dietary intake was evaluated by the 24‐h recall method using standard cups with specified volume to help recall the food serving amounts.”
Outcome relating to absolute costs/cost‐effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
12 months
Length of follow‐up postintervention
Immediately
Subgroup analyses
None
Loss to follow‐up
Overall: 15%
Analysis
Adjusted for clustering
Sample size calculations performed
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Quote: “The random allocation using a random number generator (facilitated through a tailor‐made syntax programme in the Statistical Package for the Social Sciences (SPSS), which uses the select cases function) was undertaken by a researcher who was not familiar with the villages or their characteristics other than what could be derived from the 2001 census data.”
Allocation concealment (selection bias) Unclear risk There is no mention of allocation concealment.
Blinding of participants and personnel (performance bias)
All outcomes High risk Both the village women (VW) delivering the intervention, and mothers receiving the intervention were likely to be aware of their experimental group allocation.
Blinding of outcome assessment (detection bias)
All outcomes Low risk Quote: “The assessment teams (psychologists and nutritionists) were blinded to the intervention and had no interaction with the VWs. They did not meet as they used different transport and timetable of activities. The villages had no identification mark to indicate the group to which they had been randomized.”
Incomplete outcome data (attrition bias)
All outcomes Low risk Quote: “After 12 months of intervention and consequent attrition (15%), the sample comprised 511 mothers and children with 182 in CG, 176 in CFG and 153 in the RCF&PG. All 60 clusters remained in the study. Loss to follow‐up was greater in the RCF&PG (22%) compared with the CG (9%) and CFG (16%) although this difference was not statistically significant.”
Quote: “Reasons for follow‐up losses during the study were migration (9.2%), house found locked on repeated visits (4.7%) and death of the child (1%). The demographic characteristics of those lost to follow‐up and those who remained were not different.”
Loss to follow‐up was uneven across the study arms (not statistically significant), but were not due to the trial. No loss of clusters
Selective reporting (reporting bias) Unclear risk There is no trial registration or protocol paper.
Other bias Low risk Recruitment bias: (low) “We explained the study objectives to all the pregnant women in the villages and asked if they would like to participate in the study. There were no refusals.”
Baseline imbalance: (low) “There were no significant differences among the three groups in any of the baseline characteristics"
Loss of clusters: (low) “All 60 clusters remained in the study.”
Incorrect analysis: (low) “Values presented in the text and tables are means & standard deviations at the individual level and ICCs are presented to quantify the clustering effects”

Verbestel 2014.

Study characteristics
Methods Study design
C‐RCT
Funding
"The work was supported by the Ministry of the Flemish Community (Department of Economics, Science and Innovation; Department of Welfare, Public Health and Family)."
Participants Description
Children aged 9 to 24 months enrolled at daycare centres in 6 different communities in Flanders (Belgium)
N (randomised)
70 daycare centres, 203 children
Age
Child (mean): intervention = 15.8 months, control = 14.9 months
Parent: not reported
% female
Child: intervention = 47%, control = 44%
Parent: not reported
SES and ethnicity
Parent: intervention low SES = 13%, control low SES = 24%
Inclusion/exclusion criteria
No explicit inclusion criteria stated for this trial
Children were excluded if they were not present in daycare on the measurement day for objective height and weight at baseline (i.e. not fulfilling the minimum criteria to be included in the study)
Recruitment
“Within each day‐care centre, parents of all children aged 9–24 months were invited to enrol their child in the study.”
Recruitment rate
Child: 50% (203/404)
Daycare centre: not reported
Region
Flanders (Belgium)
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention = 58, control = 36
Description of intervention
“The intervention aimed at increasing daily consumption of water (instead of soft drinks), milk, fruit and vegetables, increasing daily physical activity and decreasing daily consumption of sweets and savoury snacks and daily screen‐time behaviour.”
“programme that consisted of two components: (i) guidelines and tips presented on a poster and (ii) a tailored feedback form for parents about their children’s activity‐ and dietary related behaviours.”
Duration
12 months
Number of contacts
Unclear
Setting
Preschool
Modality
Face‐to‐face
Interventionist
Researchers
Integrity
No information provided
Date of study
2008 to 2009
Description of control
No information provided
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of fruit and vegetables assessed using a 24‐item semi‐quantitative food frequency questionnaire (FFQ) completed by parents.
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
12 months
Length of follow‐up postintervention
Immediate
Subgroup analyses
None
Loss to follow‐up
Intervention = 21%, control = 14%
Analysis
Did not adjust for clustering
Unknown if sample size calculations performed
Notes First reported outcome (grams fruit/day) was extracted for inclusion in the meta‐analysis. The reported estimate that adjusted for clustering did not report 95% CI or SEM. Therefore we used final values and calculated an effective sample size using ICC of 0.016 to enable inclusion in meta‐analysis.
Sensitivity analysis ‐ primary outcome: primary outcome not stated, fruit or vegetable intake second listed outcome after BMI
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomly allocated to experimental group but the random sequence generation procedure is not described
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes High risk Fruit and vegetable intake (parent reported): parents were not blinded to group allocation and this is likely to influence performance
Blinding of outcome assessment (detection bias)
All outcomes High risk Fruit and vegetable intake (parent reported): parents were not blinded to group allocation and this is likely to influence performance
Incomplete outcome data (attrition bias)
All outcomes High risk FT: Of 203 children, 156 (77%) were re‐examined 12 months later at follow‐up (this is the first follow‐up post‐intervention). If we define this as short‐term follow‐up, this is high risk of bias as > 20% dropout
Selective reporting (reporting bias) Unclear risk There is no study protocol therefore it is unclear if there was selective outcome reporting
Other bias High risk Baseline imbalance: baseline differences were observed between the control and intervention groups in sociodemographic characteristics and body composition. However although this was adjusted for in the analysis the impact of this imbalance is unclear.
Quote: “The analyses were adjusted for SES, age of the child and BMI z‐score at baseline to control for the observed baseline imbalance in these variables between intervention and control groups.”
Recruitment bias: appears that parents and childcare centres were recruited after communities had been matched and randomised ‐ high risk
Incorrect analyses: linear mixed models adjusted for clustering within daycare centres, but standard errors were not reported. Reported mean (SD) by group at follow‐up and calculation of effective sample sizes prior to inclusion in meta‐analyses accounted for this, therefore low risk.

Vereecken 2009.

Study characteristics
Methods Study design
C‐RCT
Funding
"The development of the intervention was funded by the PWO(Project‐related Scientific Research)‐funding of University College Arteveldehogeschool. Funds for the evaluation were provided by the Provincial Government East‐Flanders."
Participants Description
Children attending 16 preschools in East Flanders (Belgium)
N (randomised)
16 preschools, 1432 preschoolers
Age
Child: date of birth reported
< 2002: intervention = 41%, control = 51%
2002: intervention = 28%, control = 24%
2003: intervention = 31%, control = 26%
Parent: not reported
% female
Child: intervention = 53%, control = 44%
Parent: not reported
SES and ethnicity
Parent: predominantly low parental education
Low education (mother): intervention = 49%, control = 49%
Low education (father): intervention = 60%, control = 57%
Inclusion/exclusion criteria
Not specified
Recruitment
Schools were approached by mail for consent. All parents of preschoolers attending the consenting schools were asked to fill in a food frequency questionnaire
Recruitment rate
Parents: 54%
Schools: 10% (40 out of 403 schools consented, although only 8 were selected in the end)
Region
East Flanders (Belgium)
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention = 308, control = 168
Description of intervention
8 preschools received a multi‐component intervention to assist schools to implement a healthy school food policy. "The main objectives were to increase the consumption of fruit, vegetables and water and to decrease the consumption of sugared milk drinks and fruit juice."
The main strategies to influence the child and the different environmental factors included:
"Child: Guided and self‐guided activities based on experiential education (e.g. tasting) and developmental education (e.g. explanation of concepts of food triangle); Role model, feed back and reinforcement by teachers; Educational role‐model story and characters; Availability of healthy foods; Availability of cooking equipment.
Parents: Newsletters; Suggestions for the back and forth diary; Work sheets and creations by children; Parent evenings and other school activities with parents
Teacher: Training sessions; Manual including didactic and policy aspects; Digital learning environment; Newsletters; Group discussions with teachers; Examples of good practices
School environment: Newsletters; Training sessions for principals and cafeteria staff; Help on demand via e‐mail; Examples of good practices; Policy aspects in the teachers’ manual; Feedback to schools."
Duration
6 months
Number of contacts
Unclear (multi‐component)
Setting
Preschool
Modality
Multiple (staff training, experiential education, newsletters, email support, resources)
Interventionist
Not reported
Integrity
No information provided
Date of study
Sept 2006 to April 2007
Description of control
8 preschools received the control: no information provided
Outcomes Outcome relating to children's fruit and vegetable consumption
Daily consumption of fresh fruit and vegetables (grams) as reported by parents in a written food frequency questionnaire
Length of follow‐up from baseline
6 months (March/April 2007)
Length of follow‐up postintervention
Immediate
Subgroup analyses
None
Loss to follow‐up
Intervention = 47%, control = 45%
Analysis
Contact with the author indicated that the analysis was adjusted for clustering by school
Unknown if sample size calculation was performed
Notes Trial results are reported as change from baseline in mean daily consumption of fruit and vegetables and postintervention values. No standard deviations were reported for postintervention data to enable inclusion in meta‐analysis
Sensitivity analysis ‐ primary outcome: fruit or vegetable intake is primary outcome
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Contact with the author indicated that a computerised random‐number generator was used
Allocation concealment (selection bias) Unclear risk Contact with the author indicated that schools did not know their allocation prior to consenting to the study. It is unclear if study personnel responsible for recruitment were aware of group allocation
Blinding of participants and personnel (performance bias)
All outcomes High risk Contact with the author indicated that parents and school staff were not blind to group allocation and that parents could have attended information sessions organised by the researchers, or observed posters, newsletters or intervention materials in intervention schools. Given that the relevant trial outcomes were based on parental reports, the review authors judged that there was a risk of bias
Blinding of outcome assessment (detection bias)
All outcomes High risk Contact with the author indicated that parents and school staff were not blind to group allocation and that parents could have attended information sessions organised by the researchers, or observed posters newsletters or intervention materials in intervention schools. Given that the relevant trial outcomes were based on parental reports, the review authors judged that there was a risk of bias. (NB. There were no independent outcome assessors in this trial; the parents completed and returned a food frequency questionnaire about their child's food intake)
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Although similar across groups (intervention = 47%, control = 45%), rates of loss to follow‐up were high. Contact with the author indicated that no information was collected on reasons for loss to follow‐up
Selective reporting (reporting bias) Unclear risk Insufficient information to permit judgement
Other bias Low risk Contact with the author indicated that analysis was adjusted for clustering
No further risk of bias identified

Wardle 2003a.

Study characteristics
Methods Study design
RCT
Funding
Not reported
Participants Description
Children aged 2 to 6 years and their principal caregiver (parent) who were recruited from a larger study
N (randomised)
156 children
Age
Child: 34 to 82 months (mean = 53 months)
Parent (mean): 36 years
% female
Child: exposure = 34%, nutrition information = 58%, control = 51%
Parent (overall): 95%
SES and ethnicity
Child: “Families were predominantly White” (74%)
Parent: "68% of parents had left full‐time education at the age of 21 or over" and "the majority of parents held further education qualifications."
Inclusion/exclusion criteria
No explicit inclusion/exclusion criteria stated for this trial, or for the trial from which participants were recruited. 13 children (1 girl, 12 boys) were excluded when they did not comply with the experimental procedures during the pre‐experimental taste test
Recruitment
Participants were recruited from a larger study on the predictors of children's fruit and vegetable intake and expressed an interest in participating in further research to modify their children’s acceptance of vegetables
Recruitment rate
Parents: 28%
Region
United Kingdom
Interventions Number of experimental conditions
3
Number of participants (analysed)
i) Restricted to at least 10 out of 14 exposures
Exposure = 34, nutrition information = 48, control = 44
ii) All available data
Exposure = 48, nutrition information = 48, control = 44
Description of intervention
Exposure: taste exposure intervention carried out in the home where parents were asked to offer their child a taste of a target vegetable daily for 14 consecutive days. Parents were given suggestions to encourage the child to taste the vegetable. Parents were given a vegetable diary to record their experiences, and children could record their liking for the vegetable after each session using 'face' stickers.
Nutrition Information: parents were informed about the ‘5 a day’ recommendations and given a leaflet with advice and suggestions for increasing children’s fruit and vegetable consumption
Duration
14 days
Number of contacts
14 (daily for 14 consecutive days)
Setting
The home
Modality
Face‐to‐face, exposure
Interventionist
Researchers trained parents to offer the target vegetable to their child
Integrity
14 participants in the exposure group failed to complete a minimum of 10 out of 14 tasting sessions.
‐ 4 children completed 9 sessions, 2 completed 8 sessions, 2 completed 7 sessions, 1 completed 6 sessions, 4 completed 5 or less sessions
Date of study
Not reported
Description of control
"No treatment" control ‐ parents received no further intervention
Outcomes Outcome relating to children's fruit and vegetable consumption
As‐desired consumption of target vegetable (grams) assessed by weighing the amount of the vegetable on the plate before and after consumption using a professional digital scale (Tanita Corporation, Japan)
Length of follow‐up from baseline
Approximately 2 weeks
Length of follow‐up postintervention
Immediate
Subgroup analyses
Restricted sample to only those in the taste exposure group who received 10 or more exposures. This restricted the Exposure group from 48 to 34 children.
Loss to follow‐up
2% (140 provided follow‐up data of 143 who were eligible and provided data at baseline).
Exposure: 4% (children withdrawn from their study by their parents following collection of baseline data).
Nutrition information: 0%
Control: 2% (children withdrawn from their study by their parents following collection of baseline data).
Analysis
Adjustment for clustering not applicable
Unknown if sample size calculation was performed
Notes "Two sets of analyses were carried out: (a) on a restricted sample which excluded those in the Exposure group who completed less than 10 tasting sessions (n=126) and (b) on the whole sample (n=140). Results below refer to the reduced sample size ... results for the whole sample are only included where they differed from these."
Sensitivity analysis ‐ primary outcome: primary outcome not stated, fruit or vegetable intake third listed outcome after rated and ranked liking.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Quote: "Participants were randomly assigned to one of three experimental treatment groups". No further information provided regarding sequence generation
Allocation concealment (selection bias) Low risk Contact with the author indicated that allocation was concealed in an opaque envelope opened at participant's homes after baseline data collection
Blinding of participants and personnel (performance bias)
All outcomes Low risk Contact with the author indicated that personnel delivering the intervention were not blind to group allocation and that parents may not have been blind to group allocation. However, given the objective assessment of outcome (electronic scales), the review authors judged that the study outcome was unlikely to be affected by lack of blinding
Blinding of outcome assessment (detection bias)
All outcomes Low risk Contact with the author indicated that the outcome assessors were not blind to group allocation. Given the objective measure of outcome (electronic scales), assessment is unlikely to have been influenced by lack of blinding
Incomplete outcome data (attrition bias)
All outcomes Low risk Rates of loss to follow‐up were similar and low across the exposure (4%), nutrition information (0%) and the control conditions (2%). Reasons for loss to follow‐up were provided and were similar
Selective reporting (reporting bias) Unclear risk Insufficient information to permit judgement
Other bias Low risk No further risk of bias identified

Watt 2009.

Study characteristics
Methods Study design
RCT
Funding
"This work was commissioned by the Food Standards Agency in 2009 and supported by the Department of Health (UK) from 2010."
Participants Description
New mothers attending baby clinics in disadvantaged London neighbourhoods
N (randomised)
312 mothers
Age
Child: mean = 10 weeks
Parent: mean = 30 years
% female
Children: not reported
Parent: 100%
SES and ethnicity
Parent: 28% lone parents, 57% living in social housing,
33% receiving income support/job seeker's allowance
Ethnicity: 50% from an ethnic minority
Inclusion/exclusion criteria
Inclusion criteria: "Women from Registrar General occupational classes II‐V (non‐professional); babies born >/= 37 weeks; babies' birth weight above 2500g; singletons; women able to understand written and spoken English; and resident in the study area."
Exclusion criteria: "Women aged under 17 years; infants were diagnosed with a serious medical condition or were on special diets; infants aged over 12 weeks; women or their partners were from social class I (professional). Originally their intention was to restrict the sample to first‐time mothers over the initial 12 week recruitment period. The inclusion criteria was therefore changed to include all new‐mothers."
Recruitment
"Women were recruited from December 2002 to February 2004 at baby clinics located in the more disadvantaged neighbourhoods across Camden and Islington where Surestart (a national social welfare initiative targeting families with young children) programmes existed. A standardised technique was used to approach new mothers attending the baby clinics. An overview of the study was given and randomisation explained. If the women were interested, a short screening questionnaire was then used to assess their eligibility."
Recruitment rate
82%
Region
London, UK
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention = 124, control = 115 (12 months)
Intervention = 108, control = 104 (18 months)
Description of intervention
A monthly home visiting programme (from 3 to 12 months) delivered by trained local mothers, providing practical support on infant‐feeding practices.
Duration
9 months (duration of each visit = 60 min)
Number of contacts
Monthly from 3 to 12 months (maximum = 10 contacts)
Setting
The home
Modality
Face‐to‐face, via home‐visiting
Interventionist
Trained local volunteers "A group of local mothers were recruited and trained to provide the support in a 12‐session programme delivered over a 4‐week period."
Integrity
"On average each woman in the intervention group received five volunteer home visits (range 1‐10). A small number of women were also contacted by telephone when home visits were not possible."
Date of study
Recruited from Dec 2002 to Feb 2004
Description of control
Usual care. "Women in the control group only received standard professional support from health visitors and GPs."
Outcomes Outcome relating to children's fruit and vegetable consumption
Children's intake of vitamin C from fruit
Secondary outcome: proportion of children who consumed specific fruits and vegetables more than once a week
Length of follow‐up from baseline
9 months and 15 months (when children aged 12 months and 18 months, respectively)
Subgroup analyses
None
Loss to follow‐up: (at 9 and 15 months)
Intervention = 27%, 34%
Control = 20%, 30%
Analysis
Adjustment for clustering not applicable
Sample size calculation was performed
Notes Vitamin C (mg) from fruit at the longest follow‐up < 12 months (9 months ‐ children aged 12 months) and ≥ 12 months (15 months ‐ children aged 18 months old) was extracted for inclusion in meta‐analysis.
Sensitivity analysis ‐ primary outcome: vitamin C intake from fruit listed as primary outcome
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Quote: "A random allocation schedule was prepared in advance using random digit computer tables."
Allocation concealment (selection bias) Low risk Quote: "Those responsible for recruiting ... were all masked to group assignment."
Blinding of participants and personnel (performance bias)
All outcomes High risk Contact with the author indicated that parent participants and intervention personnel were not blind to group allocation. Given that the trial outcome was based on parental reports of children's fruit intake, the review authors judged that there was a risk of performance bias in this study
Blinding of outcome assessment (detection bias)
All outcomes Low risk Quote: "Those responsible for ... assessing outcomes were all masked to group assignment."
Incomplete outcome data (attrition bias)
All outcomes High risk Rates of loss to follow‐up were similar across intervention (27%, 34%) and control (20%, 30%) groups at both time points and were moderate. There were no substantial differences in the reasons for loss to follow‐up
Selective reporting (reporting bias) Low risk All primary or secondary outcomes of interest were reported according to the information provided in the trial register (ISRCTN 55500035)
Other bias Low risk Contamination bias that could threaten the internal validity is unlikely to be an issue

Williams 2014.

Study characteristics
Methods Study design
C‐RCT
Funding
"This research was supported by US Department of Agriculture’s (USDA) Food and Nutrition Service (FNS)."
Participants Description
Children attending childcare centres participating in the Child and Adult Care Food Program and their parent
N (randomised)
24 childcare centres, 1143 parent‐child dyads
Age
Child (mean): 4.4 years
Parent: “Overall, 67% of respondents were between the ages of 18 and 34”
% female
Child = 48%
Parent: not reported
SES and ethnicity
“40% were Hispanic or Latino; 24% were white, non‐Hispanic; 27% were black, non‐Hispanic; and 9% were another race or more than one race”
Inclusion/exclusion criteria
Not reported
Recruitment
“The study sampled child‐care centers participating in the Child and Adult Care Food Program in New York”
“Approximately 5 to 6 weeks before the start of the intervention in spring 2010, teachers sent children home with a study invitation and the baseline survey. Parents who agreed to participate in the study were asked to return a contact information card and the completed questionnaire in a separate envelope to preserve confidentiality.”
Recruitment rate
Parent: 75% (1143/1518)
Region
New York (USA)
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention = 440, control = 462
Description of intervention
Eat Well Play Hard in Child Care Settings program “is a Supplemental Nutrition Assistance Program (SNAP) Education program that allows states to receive funding for nutrition education to improve the likelihood that SNAP participants will make healthy food choices.”
“The program includes multilevel messaging targeted to preschool children, their parents, and the childcare center staff who shape the policies and practices in their child‐care environment.”
“Some of the most frequently taught modules used for this intervention included trying new foods (Food Mood); eating a variety of vegetables (Vary Your Veggies); eating a variety of fruits (Flavorful Fruit); incorporating more healthy dairy products into the diet (Dairylicious); eating healthier snacks (Smart Snacking); and engaging in physical activity (Fitness Is Fun).”
Duration
6 to 10 weeks
Number of contacts
6 classes for children and parents separately (30 to 60 minutes per session)
2 classes for centre’s staff “Finally, the RDN works with each centre director to identify areas of policy improvement that can enhance nutrition at the centre and teaches at least two classes to the centre’s staff to help them integrate the program’s messages into their classroom activities”
Setting
Preschool
Modality
Multiple (face‐to‐face, printed materials/resources)
Interventionist
Registered dietitian nutritionist
Integrity
No information provided
Date of study
March and June 2010
Description of control
Wait‐list control:
“control centers received the intervention after the evaluation was completed, but within the same calendar year.”
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of fruit and vegetables (cups per day) by parent self‐report via mail or telephone survey using modified questions from the University of California Cooperative Extension Food and Behaviour Checklist.
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
Unclear, ~ 7 to 10 weeks
Length of follow‐up postintervention
1 week
Subgroup analyses
None
Loss to follow‐up
Intervention = 20%, control = 22%
Analysis
Adjusted for clustering
Sample size calculations performed
Notes First reported outcome (cups of vegetables child consumed at home a day) was extracted for inclusion in the meta‐analysis. We selected postintervention values over change from baseline estimates, and calculated effective sample size at follow‐up using an ICC of 0.014 to enable inclusion in meta‐analysis.
Sensitivity analysis ‐ primary outcome: primary outcome not stated, power calculation conducted on fruit or vegetable intake
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomly allocated to experimental group but the random sequence generation procedure is not described
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes High risk Child’s fruit and vegetable intake (parent survey): there is no blinding to group allocation of participants or personnel described and this is likely to influence performance
Blinding of outcome assessment (detection bias)
All outcomes High risk Child’s fruit and vegetable intake (parent survey): there is no blinding to group allocation of participants or personnel described and because this is a parent‐reported survey this is likely to influence detection bias
Incomplete outcome data (attrition bias)
All outcomes High risk 902 (79%) out of 1143 parents completed the follow‐up. Given this was a short‐term follow‐up, the risk of attrition bias is high
Selective reporting (reporting bias) Unclear risk There is no study protocol therefore it is unclear if there was selective outcome reporting
Other bias Unclear risk At baseline, children in the intervention group were statistically significantly older than children in the control group, but unclear what impact this may have had.
Quote: “At baseline, children in the intervention group were statistically significantly older than children in the control group (difference=0.2 years; 95% CI 0.1 to 0.3). Otherwise, there were no statistically significant differences in the characteristics of respondents and their households or in outcome measures between the intervention and control groups at baseline”.
Analyses accounted for clustering

Witt 2012.

Study characteristics
Methods Study design
C‐RCT
Funding
Not reported
Participants Description
Children aged 4 or 5 years at 17 childcare centres
N (randomised)
17 childcare centres, 263 children
Age
“The researchers were not permitted to obtain specific ages of each child but were informed by the centers’ directors that the majority of the children were 4 or 5 years old.”
% Female
Child: 47%
Parent: not reported
SES and ethnicity
Not reported
Inclusion/exclusion criteria
Not reported
Recruitment
Not reported
Recruitment rate
Child: not reported
Childcare centre: not reported
Region
Boise Idaho (USA)
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention: fruit = 83, vegetable = 70
Control: fruit = 70, vegetable = 52
Description of intervention
“Color Me Healthy comes in a ‘‘toolkit’’ that includes a teacher’s guide, 4 sets of picture cards, classroom posters, a music CD that contains 7 original songs, a hand stamp, and reproducible parent newsletters. Color Me Healthy is composed of 12 circle‐time lessons and 6 imaginary trips. The majority of the CMH circle‐time lessons focus on fruits and vegetables of different colors. Several of the lessons provide opportunities for children to try fruits and vegetables. The 6 imaginary trips included in CMH encourage children to use their imagination to explore places, be physically active, and eat fruits and vegetables. Six interactive take home activities were developed for the current evaluation. These interactive activities coincided with the circle‐time lessons.”
Duration
6 weeks
Number of contacts
24 (preschool = 2 circle‐time and 1 imaginary trip per week, each 15 to 30 minutes, home = 6 interactive take home activities)
Setting
Preschool and home
Modality
Face‐to‐face
Interventionist
Lead teachers
Integrity
No information provided
Date of study
Not reported
Description of control
No treatment control: “During the study, comparison classrooms did not incorporate nutrition curriculum into their lesson plans.”
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of fruit and vegetable snacks (grams). “To determine the amount of fruit and vegetable snack consumed, the fruit and vegetable snacks were weighed (in grams) before they were served to children and then weighed again after children had had an opportunity to consume the snack. Percentage of fruit and vegetable snack consumed was calculated for each child.”
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
7 weeks (1 week postintervention) and ~ 5 months (3 months postintervention)
Length of follow‐up postintervention
1 week and 3 months
Subgroup analyses
None
Loss to follow‐up (at 3 months)
Intervention: fruit = 50%, vegetable = 58%
Control: fruit = 29%, vegetable = 47%
Analysis
Adjusted for clustering
Unknown sample size calculations performed
Notes First reported outcome (mean number of pineapple snacks remaining) at the longest follow‐up (3 month follow‐up) was extracted for inclusion in meta‐analysis. Insufficient data available to enable inclusion in meta‐analysis (standard deviation not reported, nor available from authors)
Sensitivity analysis ‐ primary outcome: primary outcome not stated, fruit or vegetable intake is only reported outcome.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomly allocated to experimental group but the random sequence generation procedure is not described
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes Low risk Fruit and vegetable snacks (weighed): objective measure of child’s fruit and vegetable intake and unlikely to be influenced by performance bias
Blinding of outcome assessment (detection bias)
All outcomes Low risk Fruit and vegetable snacks (weighed): objective measure of child’s fruit and vegetable intake and unlikely to be influenced by detection bias
Incomplete outcome data (attrition bias)
All outcomes High risk Attrition rate > 20% for short‐term follow‐up. Only 58% of consenting children received fruit snacks at all 3 time points
Selective reporting (reporting bias) Unclear risk There is no study protocol therefore it is unclear if there was selective outcome reporting
Other bias Unclear risk Recruitment bias: it appears that parents were invited to participate after centres had been randomised, so unclear risk of bias
Baseline imbalance: there are no baseline data comparing study groups, so we cannot tell if groups were balanced at baseline, so unclear risk of bias
Incorrect analysis: “The current evaluation was a nested design; children were nested within classrooms. The classrooms were the units of assignment, but the outcome data were collected among the children.”
HLM modelling accounted for clustering, therefore low risk of bias

Wyse 2012.

Study characteristics
Methods Study design
C‐RCT
Funding
"The trial is funded by the Cancer Institute New South Wales (Ref no. 08/ECF/1‐18)."
Participants Description
Children aged 3 to 5 years attending selected preschools, and their parent
N (randomised)
30 preschools, 394 parent‐child dyads
Age
Child (mean): intervention = 4.3 years, control = 4.3 years
Parent (mean): intervention = 35.7 years, control = 35.7 years
% female
Child: intervention = 51%, control = 46%
Parent: intervention = 95%, control = 97%
SES and ethnicity
Child: Aboriginal and/or Torres Strait Islander
Intervention = 1%, Control = 5%
Parent: Aboriginal and/or Torres Strait Islander
Intervention = 1%, Control = 3%
Household income AUD ≥ 100K
Intervention = 42%, control = 40%
University education
Intervention = 45%, control = 50%
Inclusion/exclusion criteria
Preschool
Inclusion criteria: licensed in NSW
Exclusion criteria: “Preschools will be excluded from the trial if they provide meals to children in their care (as this limits parents' capacity to influence the foods their children consume), cater exclusively for children with special needs (given the specialist care required for such children), are Government preschools (as conduct of the research has not been approved by the New South Wales Government Department of Education and Training) or have participated child healthy eating research projects within six months of the commencement of recruitment.”
Parent
Inclusion criteria: “participant must be a parent of a child aged 3 to 5 years attending a participating preschool, must reside with that child for at least four days a week (in order for the child to be sufficiently exposed to the intervention strategies that the parent may implement), must have some responsibility for providing meals and snacks to that child, and must be able to understand spoken and written English.”
Exclusion criteria: “Parents will be excluded from the trial if their children have special dietary requirements or allergies that would necessitate specialised tailoring of the intervention or that may be adversely affected by the intervention. Such exclusions will be determined by an Accredited Practising Dietitian who is independent of the research team.”
Recruitment
Preschools randomly selected
“The supervisors of the selected preschools will be sent letters and consent forms informing them of the study and requesting permission to recruit parents through their services.”
Recruitment packs will be delivered to each participating preschool
Distribution of these packs to parents will occur via methods considered by the preschool supervisor to be most effective and appropriate in engaging parents
Where possible, research staff will attend the preschool, hand out recruitment packs to parents and be available to answer parent questions
Recruitment rate
Child: not reported
Preschool: 51% (30/59)
Region
New South Wales (Australia)
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention = 174, control = 169
Description of intervention
The intervention group will receive a resource kit and weekly scripted telephone contacts.
“The kit comprises a participant workbook containing information and activities, a pad of meal planners, and a cookbook including recipes high in fruit and vegetables.”
“Each telephone contact aims to provide parents with appropriate knowledge and skills to modify three key domains within the home food environment: availability and accessibility of fruit and vegetables; supportive family eating routines, and parental role‐modelling.”
Duration
4 weeks
Number of contacts
4 (one a week)
Setting
Home
Modality
Telephone and mailed resources
Interventionist
Trained telephone interviewers
Integrity
“During each four‐week batch of telephone calls, members of the research team will monitor at least two completed calls made by each interviewer to assess adherence with the intervention protocol.”
“In total, 44 intervention calls were monitored, representing 6% of all completed calls and an average of 9 calls per interventionist. Across all monitored calls, interventionists covered 97% of key content areas, and in.80% of calls they “rarely” deviated from the script. In instances in which calls deviated from the script, interventionists were provided with feedback immediately after the call, and the issue was raised during biweekly supervision.”
Date of study
April to December 2010
Description of control
“Parents allocated to the control group were mailed the Australian Guide to Healthy Eating—a 22‐page booklet outlining the dietary guidelines and ways to meet them.”
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of fruit and vegetables assessed by parent self‐report by telephone survey using items from the Children’s Dietary Questionnaire.
Outcome relating to absolute costs/cost effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Effect of intervention on family food expenditure
Length of follow‐up from baseline
2 and 6 months
Length of follow‐up postintervention
1 and 5 months
Subgroup analyses
None
Loss to follow‐up (at 1 and 5 months)
Intervention = 14%, 16%
Control = 4%, 9%
Analysis
Adjusted for clustering
Sample size calculations performed
Notes The fruit and vegetable score outcome at the longest follow‐up < 12 months (6 months) was extracted for inclusion in meta‐analysis. The reported estimate and 95% CI which adjusted for baseline and clustering were included in meta‐analysis
Sensitivity analysis ‐ primary outcome: = fruit or vegetable intake listed as primary outcome.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk The random sequence was generated using a random‐number function in Microsoft Excel
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed
Blinding of participants and personnel (performance bias)
All outcomes High risk Fruit and vegetable intake (self‐reported): participants were unblinded and this is likely to influence performance
Blinding of outcome assessment (detection bias)
All outcomes High risk Fruit and vegetable intake (self‐reported): participants were unblinded and because self‐reported measure this is likely to influence detection bias
Incomplete outcome data (attrition bias)
All outcomes Low risk Of 394 parents, 343 (87%) completed the 6‐month follow‐up. Sensitivity analyses were also conducted where missing follow‐up data were imputed by using baseline observation carried forward
Selective reporting (reporting bias) Low risk The primary outcomes reported in the outcomes paper align with those specified in the protocol. The 12‐ and 18‐month fruit and vegetable outcomes are reported in Wolfenden 2014
Other bias Low risk Contamination, baseline imbalance, & other bias that could threaten the internal validity are unlikely to be an issue. Analyses adjusted for clustering

Zeinstra 2017.

Study characteristics
Methods Study design
C‐RCT
Funding
“The research leading to these results has received funding from the European Community’s Seventh Framework Programme (FP7/2007‐2013) under the grant agreement n_FP7‐245012‐ HabEat.”
Participants Description
Children aged 4 to 6 years attending a primary school in Arnhem, the Netherlands
N (randomised)
102 children
Age
Child (mean): overall = 4.8 years (not reported by group)
Parent: not reported
% female
Child: overall = 51% (not reported by group)
Parent: not reported
SES and ethnicity
Parent: education levels
Maternal education: high = 56%, medium = 34%, low = 10%
Paternal education: high = 55%, medium = 35%, low = 10%
Inclusion/exclusion criteria
Inclusion/exclusion criteria no explicitly stated, “Healthy children without any allergies for the foods used in the study were allowed to participate.”
Recruitment
“All parents received an information booklet to inform them about the aim and the study procedures.”
Recruitment rate
Child: 91% (102/112)
Region
Amhem (the Netherlands)
Interventions Number of experimental conditions
3
Number of participants (analysed)
Convivial eating (CE) = 35, positive restriction (PR) and CE = 40, control = 18
Description of intervention
CE: “A video film was created specifically for this study with the help of two Dutch children’s TV idols (adults), called Ernst and Bobbie (http://www.ernstbobbie.nl/). In the 4‐min video, they are enthusiastic about vegetables in general, and about carrots in particular. While they eat carrots enthusiastically, the story illustrates that carrots will make you strong and superfast. The film includes a catchy song about vegetables”
PR and CE: “Children in the PR + CE condition were first exposed to five sessions of positive restriction, in which the children watched the role modelling video film while they did not receive carrots themselves. After this PR period, the PR + CE children participated also in eight convivial eating sessions: eating raw carrots while watching the role modelling video”
Duration
CE and control = 4 weeks, PR and CE = 5 weeks
Number of contacts:
CE: 8 (twice/week), PR and CE: 13 (8 CE sessions and 5 PR sessions)
Setting
Primary school
Modality
Video
Interventionist
Teacher
Integrity
“Children from both intervention conditions (CE and PR + CE) attended on average 7.8 ± 0.6 of the eight convivial eating sessions, ensuring sufficient presence to be included in the dataset.”
Date of study
Not reported
Description of control
“The control group ate raw carrots twice without watching the role modelling video.”
Outcomes Outcome relating to children's fruit and vegetable consumption
Child’s consumption of carrots (grams). “Intake was calculated by subtracting the leftover weight from the weight before consumption, using a Kern & Sohn EMB600‐1 weigh‐ ing scales, with a precision of 0.1 g.”
Outcome relating to absolute costs/cost‐effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
9 months
Length of follow‐up postintervention
~7 months
Subgroup analyses
“For the individual analyses, children were assigned into two groups: carrot eaters and carrot non‐eaters.”
Loss to follow‐up (at ~7 months)
Overall = 3% (not reported by group)
Analysis
Unknown if adjusted for clustering
Sample size calculation performed
Notes Unclear if adjustment was made for clustering; we therefore used 9 month post baseline data and calculated an effective sample size using ICC of 0.014 to enable inclusion in meta‐analysis
Sensitivity analysis ‐ primary outcome: Fruit or vegetable intake listed as primary outcome
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Assignment was described as random on condition that school classes that could see each other physically (through large windows between classrooms) were in the same experimental condition.
Allocation concealment (selection bias) Unclear risk Appears allocation was based on whether the classes could see each other physically
Blinding of participants and personnel (performance bias)
All outcomes Low risk Objective measure of child’s vegetable intake and unlikely to be influenced by performance bias
Blinding of outcome assessment (detection bias)
All outcomes Low risk Vegetable intake weighed in grams and so the risk of detection bias is low.
Incomplete outcome data (attrition bias)
All outcomes Low risk 93/99 (94%) children completed the 9‐month follow‐up assessment, no ITT and so the risk of attrition bias is low.
Selective reporting (reporting bias) Unclear risk There is no study protocol therefore it is unclear if there was selective outcome reporting.
Other bias Low risk Recruitment bias (low risk): participants were recruited prior to randomisation
Baseline imbalance (low risk): there were no significant differences between the 3 conditions or between the 5 school classes.
Loss of clusters (low risk): no evidence of loss of clusters.
Incorrect analysis (low risk): there is no mention that clustering has been adjusted for in the analysis. The review authors adjusted for in the meta‐analysis.
Contamination bias (low risk): randomised so children in control could not see intervention classroom, low risk of contamination

Zeinstra 2018.

Study characteristics
Methods Study design
C‐RCT
Funding
“This project received financial support from the Fresh Produce Centre and the Ministry of Economic Affairs (grant number TU 1310‐086). Neither organization had any role in the design, analyses, or writing of this article.”
Participants Description
Infants aged 0 to 4 years in 4 childcare centres in Utrecht, Netherlands
N (randomised)
4 childcare centres
Age
Child (mean): intervention = 25.6 months, control = 25.0 months
Parent: not reported
% female
Child: intervention = 44%, control = 42%
Parent: not reported
SES and ethnicity
Parent: education level* ‐ intervention: low (0%), middle (5%), high (95%), control: low (0%), middle (10%), high (90%)
*low = primary and/or secondary school, middle = vocational education, high = higher vocational education and/or university degree
Inclusion/exclusion criteria
“Healthy children without any allergies to the study products could participate.”
Recruitment
Recruited via 4 childcare centres in Utrecht, Netherlands “Information packs were distributed to 526 parents to inform them about the study aims and procedures.”
Recruitment rate
Child: not reported
Childcare centre: not reported
Region
The Netherlands
Interventions Number of experimental conditions
2
Number of participants (analysed)
Intervention (2 centres): 101 children
Control (2 centres): 91 children
Description of intervention
“To prevent boredom and encourage tasting, each vegetable was presented in two different preparations: pumpkin blanched and as a cracker spread; courgette blanched and as soup; white radish raw and as a cracker spread.”
“The study vegetables were offered during the habitual vegetable snack moment in the afternoon, between 15h00 and16h00.”
“A vegetable song ‐ developed specifically for this study was played to make the vegetable eating occasion recognizable and fun for the children.”
Duration
21 weeks
Number of contacts
Unclear, 21 weeks “was chosen to ensure that each child was exposed to each vegetable at least 10 times”
Setting
Preschool
Modality
Face‐to‐face
Interventionist
Childcare employees
Integrity
“Intervention children received on average six exposures to each vegetable product”
Date of study
Not reported
Description of control
“The control group kept their regular eating routines during this period.”
Outcomes Outcome relating to children's fruit and vegetable consumption
Consumption of vegetables (grams) as desired, assessed by weighing the vegetable cups before and after consumption. “Vegetable intake was calculated by subtracting the leftovers from the pre‐weight.”
Outcome relating to absolute costs/cost‐effectiveness of interventions
Not reported
Outcome relating to reported adverse events
Not reported
Length of follow‐up from baseline
21 weeks
Length of follow‐up postintervention
4 weeks
Subgroup analyses
None
Loss to follow‐up
Unclear
Analysis
Unclear if adjusted for clustering
Sample size calculations performed
Notes We extracted first reported outcome (mean g of pumpkin intake) for inclusion in meta‐analysis.
We estimated mean and SD from a study figure using an online resource (Plot Digitizer: plotdigitizer.sourceforge.net) for intervention and control groups at post‐test.
As an estimate at that adjusted for clustering was not reported, we used postintervention data and calculated an effective sample size using ICC of 0.014 to enable inclusion in meta‐analysis.
Sensitivity analysis ‐ primary outcome: primary outcome not stated, sample size was based on vegetable intake outcome.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Quote: “Two childcare centres were randomly assigned to the intervention condition”
Randomly allocated to experimental group but the random sequence generation procedure is not described.
Allocation concealment (selection bias) Unclear risk There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed.
Blinding of participants and personnel (performance bias)
All outcomes Low risk Parents and child care staff were blinded to the aims of the study.
The likelihood of performance bias in relation to vegetable consumption is low, given the children’s age.
Blinding of outcome assessment (detection bias)
All outcomes Low risk Research assistants present to observe process of weighing food and eating – however this seems unlikely to impact child consumption.
Vegetable cups were weighed before and after consumption and therefore low risk of detection bias.
Incomplete outcome data (attrition bias)
All outcomes High risk Attrition rate > 20% (see Table 3)
Selective reporting (reporting bias) Unclear risk Trial protocol is not available
Other bias Unclear risk There may be potential recruitment bias as intervention and control parents were told different aims of the study (pg 318), which meant that researchers were aware of study group allocation before recruiting parents to study.

BMI: body mass index; EA: exposure alone; EP: exposure plus praise; ETR: exposure plus tangible non‐food reward; DOB: date of birth; FV: fruit and vegetables; ICC: intra‐class correlation;ITT: intention‐to‐treat; N/A: not applicable;PA: physical activity; SD: standard deviation; SEM: standard error of the mean; SES: socioeconomic status

Characteristics of excluded studies [ordered by study ID]

Study Reason for exclusion
Aass 2018 Child mean age 5.4 years
Aboud 2008 This responsive feeding trial was ineligible as its primary outcome was not to increase fruit and vegetable consumption and the study only assessed children's fruit and vegetable consumption post‐hoc in order to describe the mechanism behind a change in weight status among participants in the sample
Adams 2011 No fruit or vegetable intake outcome
Adams 2019 Participants were aged 8 to 16 years, as per trial registry
Agrawal 2012 No fruit or vegetable intake outcome
Ahearn 2001 Not RCT
Ahern 2014 Not RCT
Ajie 2016 Study design: not RCT
Aktac 2019 Not RCT: quasi‐experimental
Al Bashabsheh 2016 No fruit or vegetable intake outcome
Alcazar 2017 Not RCT
Alford 1971 Children aged 6 to 17 years
Amin 2016 Participants were grade 3 to 5 children
Amsel 2019 Primary outcome is change in BMI z‐score for preschoolers
Anderson 2014 Mean age of children 5.3 years
Anez 2013 Participant mean age 5.01 years
Ang 2016 Participants were 2nd and 3rd grade children
Anliker 1993 Children aged 14 to 17 years
Anonymous 2001 Not RCT: editorial
Anonymous 2002 Not RCT: editorial
Anonymous 2007 Not RCT: editorial
Anonymous 2009 Not RCT: editorial
Anonymous 2011a Not RCT: editorial
Anonymous 2011b Children aged 5 to 9 years
Anonymous 2012 Participants were 4th grade children
Anonymous 2019a Not RCT: editorial
Anonymous 2019b Not RCT: editorial
Anonymous 2019c Participants were aged 8 to 16 years, as per trial registry
Anonymous 2019d Not RCT: editorial
Anstrom 2017 Not RCT
Anton‐Păduraru Not RCT
Anzman‐Frasca 2018 Child mean age 6.6 years
Apatu 2016 Participants were adult, no participants aged 0 to 5 years
Aranceta‐Bartrina 2016 Not RCT
Arlinghaus 2018 Not RCT
Armstrong 2019 Primary outcome BMI Z‐score trial rego
Arredondo 2018 Participants were mothers with children aged 7 to 13 years
Arrow 2013 Primary outcome was not fruit or vegetable intake; primary outcome was dental caries incidence and prevalence of obesity
Askelson 2017 Participants were 3rd grade children
Au 2015a No fruit or vegetable intake outcome, only assessed intake of fruit juice
Au 2015b No fruit or vegetable intake outcome
Au 2016 Mean age of participants was 9.8 years
Au 2019 Not RCT
Azevedo 2019 Not RCT: quasi‐experimental
Bai 2012 Participants were elementary school children
Bakke 2018 Not RCT
Bannon 2006 Outcome is food choice (apple or crackers)
Bante 2008 Not RCT
Baranowski 2002 Children aged 9 to 18 years
Barkin 2012 Primary outcome was not fruit or vegetable intake; primary outcome was weight and BMI
Baxter 1998 Not RCT: editorial
Bayer 2009 Child mean age 6 years
Bean 2018 Not RCT: quasi‐experimental
Beasley 2012 Children aged 8 to 12 years
Beets 2016 Participants were aged 6 to 12 years
Beinert 2017 No fruit and vegetable consumption data, related to ongoing trial registration ISRCTN45864056
Bellows 2013 Intervention was not designed to increase fruit and/or vegetable consumption, intervention aimed to explore individual, family and environmental factors and their relationship to child weight status
Bellows 2017 Not RCT
Benjamin 2008 Outcome is quality of meals
Benjamin Neelon 2016 No fruit or vegetable intake outcome, only amount served
Bensley 2011 Quasi‐experiemental design
Bere 2015 Participants were 6th and 7th grade children
Berg 2016 Not RCT: book review
Bergman 2016 Participants were 3rd, 4th and 5th grade children
Berhe 1997 No comparison group
Bernal 2019 Not RCT
Berry 2013 No fruit or vegetable intake outcome
Bessems 2012 Children aged 12 to 14 years
Best 2016 Children aged 7 to 12 years
Bhandari 2004 Intervention not targeting increase in fruits and vegetables
Bibiloni 2017 Study design: allocation to conditions not random
Birch 1980 Not randomised
Birch 1982 No control group
Birch 1987 No F&V outcome
Birch 1998 Not RCT
Black 2013 Child mean age of subgroups ranged from 5.8 to 11 years
Blissett 2012 No comparison group
Blom‐Hoffman 2008 Child mean age 6.2 years
Boaz 1998 Children aged 7 to 9 years
Bocca 2018 Primary outcome BMI
Bollella 1999 Outcome is vitamins and minerals, not fruit and vegetable consumption
Bonvecchio‐Arenas 2010 Participants were primary school children
Borys 2016 Participants were aged 6 to 8 years
Bouhlal 2014 Allocation of groups to condition was not randomised
Bradley 2014 No fruit or vegetable intake outcome, outcome is preference
Brambilla 2010 No fruit and vegetable consumption outcome
Branscum 2013 Children aged 8 to 11 years
Briefel 2006 No comparison group
Briefel 2009 Children aged 6 to 18 years
Briefel 2010 No comparison group
Briefel 2018 Primary outcome of trial is "Very low food security among children according to the U.S. Household Food Security Survey Module"
Briley 1999 No comparison group
Briley 2011 Not RCT: editorial
Briley 2016 Primary outcome was not fruit or vegetable intake; primary outcome was observed servings in packed lunch
Brotman 2012 No fruit and vegetable consumption outcome
Bruening 1999 Non‐equivalent control group design
Brunt 2012 Participants were 4th grade school children
Bryant 2017 Primary outcome not fruit and vegetable consumption, primary outcomes was parent engagement
Burgermaster 2017 Participants were 5th grade students
Buscail 2018 Child mean age 7.5 years
Buttriss 2004 Not RCT: descriptive review
Byrd‐Bredbenner 2012 Primary outcome was not fruit or vegetable intake; primary outcome was BMI and audits of home environment characteristics/lifestyle practice
Byrne 2002 Outcome was willingness to taste kohlrabi
Calancie 2018 Not RCT
Camelo 2016 Participants were children aged 6 to 13 years
Campbell 2016a Primary outcome was not fruit or vegetable intake; primary outcome was body weight and waist circumference
Campbell 2016b Primary outcomes were length for age score and rates of stunting
Campbell 2017 No fruit and vegetable consumption outcome reported
Candido 2013 No fruit or vegetable intake outcome
Capaldi‐Phillips 2014 Allocation of groups to condition was not randomised
Carstairs 2018 Not randomised
Carter 2005 Children aged 9 to 12 years
Carter 2018 Not RCT: uses baseline data only
Cason 2001 No comparison group
Cassey 2016 Participants aged 14 to 19 years
Castro 2013 Child mean age 6 years
Cates 2014 Not RCT
Caton 2014 Study design: results are not reported by study group. Additionally the paper reports data from 3 other included trials: Caton 2013; Hausner 2012; Remy 2013
Céspedes 2012 Primary outcome was not fruit or vegetable intake; primary outcome was knowledge, attitudes and physical activity habits
Chatham 2016 Participants mean age 6.15 years
Chen 2015 Participants were aged 5 to 8 years old
Chen 2019a Participants were 4th and 5th grade school children
Chen 2019b Not RCT
Choi 2018 Not RCT
Chow 2016 No fruit and vegetable consumption outcome reported, related to ongoing study Belanger 2016
Chung 2018 Participants were aged 7 to 10 years old
Ciampolini 1991 No comparison group
Clason 2016 No fruit or vegetable intake outcome, only number of days per week child consumes
Coelho 2012 Children aged 8 to 12 years
Cohen 2014 Child mean age 8.6 years
Cohen 2018 Child mean age 13.3 years
Coleman 2005 No fruit and vegetable outcomes
Collins 2011 Child mean age 8 years
Condrasky 2006 Quasi‐experimental: intervention sample randomly selected from 1 church. Control randomly selected from a separate church
Cooper 2011 Children aged 5 to 11 years
Cooper 2019 Not RCT
Cooperberg 2014 No fruit or vegetable intake outcome
Copeland 2010 Child mean age 9 years
Coppinger 2016 Children aged 5 to 11 years
Corsini 2013 Participants were children with mean age 5.16 years
Cotwright 2017a No comparison group: pretest‐post‐test design
Cotwright 2017b Primary outcome willingness to try fruits and vegetables
Coulthard 2018 No fruit and vegetable consumption outcome
Court 1977 No participants, these are guidelines, not research trial
Crespo 2012 Child mean age 5.9 years
Croker 2012 Child mean age 8.3 years
Cruz 2014 As per trial registry, fruit and vegetable consumption was not the primary outcome
Cullen 2013 Participants were kindergarten‐grade 5 and grade 6 to 8 children
Cullen 2015 Participants were kindergarten‐grade 5
Curtis 2012 No child fruit or vegetable intake outcome
Dai 2015 Child mean age 6 years
Dalton 2011 No child fruit or vegetable intake outcome
Dannefer 2017 Not RCT
Davis 2019 Children in grades 3 ‐ 5
Davoli 2013 Primary outcome was not fruit or vegetable intake; primary outcome was BMI
Day 2008 Child mean age 9 to 10 years
Dazeley 2015 No fruit or vegetable intake outcome, only assessed foods touched and tasted
De Bourdeaudhuij 2015 Child mean age in intervention group 6.05 year and in control group 5.98 years
De Droog 2011 No fruit or vegetable intake outcome, only assessed liking and purchase request intent
De Droog 2012 No fruit and vegetable consumption outcome
de la Haye 2019a No fruit and vegetable intake
de la Haye 2019b Primary outcomes relate to mothers
Delgado 2014 Intervention was not designed to increase fruit and/or vegetable consumption
De Pee 1998 No comparison group
De Silva‐Sanigorski 2010 Quasi‐experimental, repeat cross‐sectional design
Dev 2018 Not RCT
Dick 2016 Not RCT: editorial
Dollahite 2014 No child fruit or vegetable intake outcome
Dorado 2015 Children aged 9 to 10 years
Draper 2010 Participants were 4, 5 and 6 grade children
Duke 2011 Not RCT: descriptive review
Dumas 2019 No child fruit and vegetable intake outcome
Dunn 2004 No fruit and vegetable consumption outcome
Early 2019 Quasi‐experimental
Eicholzer‐Helbling 1986 Outcome no consumption measure
Elder 2014 Child mean age 6.6 years
Elizondo‐Montemayor 2014 Children aged 6 to 12 years
Epstein 2001 Children aged 6 to 11 years
Esfarjani 2013 Children aged 7 years
Esquivel 2016 Not RCT
Estabrooks 2009 Children aged 8 to 12 years
Evans 2005 Children in 4th, 5th grade school
Evans 2011 No child fruit or vegetable intake outcome
Evans 2016 Participants were 3rd grade children
Evenson 2016 No fruit and vegetable consumption outcome
Faber 2002 Cross‐sectional survey
Faith 2006 The intervention programme was not specifically designed to increase consumption of fruit and vegetables; instead primary aim is to illustrate a methodological concept. “This methodological note illustrates the use of co‐twin design for testing substitution, phenomenon, a prominent behavioural economics concept. We test whether fruits and vegetables can substitute for high‐fat snack foods in young children in a single meal laboratory setting.”
Fangupo 2015 Primary outcome as reported in trial registry was not fruit or vegetable intake
Fernandes 2011 Not RCT: measurement tool
Fernández‐Alvira 2013 Child mean age 11 years
Fernando 2018 No infant fruit or vegetable intake outcome
Ferrante 2018 Not RCT
Ferrante 2019 Not RCT
Ferreira 2019 Primary outcome breastfeeding as reported in trial registry
Fialkowski 2013 Intervention was not designed to increase fruit and/or vegetable consumption
Fisher 2007 No fruit and vegetable consumption outcome
Fisher 2013 No fruit and vegetable consumption outcome
Fisher 2014 No child fruit or vegetable intake outcome
Fishman 2016 Not RCT: editorial
Fitzgibbon 2002 Outcome is weight change
Fitzpatrick 1997 Not RCT
Fletcher 2009 Children aged 13 to 19 years
Foerster 1998 Children in 4th, 5th grade school
Folta 2006 Children in grades 1 to 3 school
Fortin‐Miller 2019 Not RCT
Fournet 2014 Children aged 6 to 13 years
Freedman 2010 Outcome is child feeding attitudes and practices
French 2012 Intervention was not designed to increase fruit and/or vegetable consumption
French 2017 Participants ≥ 18 years of age as per trial registration
Frenn 2013 Participants were 5th, 7th and 8th grade students
Friedl 2014 Not RCT: task force report
Friend 2015a Participants were parents of 8 to 12 year‐old children
Friend 2015b No fruit and vegetable consumption outcome reported
Gaglianone 2006 Participants were 1st and 2nd grade children
Galdamez 2017 Not RCT
Gallo 2017 Participants were aged 6 to 11 years
Gallotta 2016 Children aged 8 to 11 years
Garcia‐Lascurain 2006 Participants were aged 9 to 12 years
Garden‐Robinson 2019 Not RCT
Gardiner 2017 Participants were at least 18 years of age
Gaughan 2016 No comparison group
Gay 2019 Children aged 11 to 18 years
Gelli 2016 Child mean age 7.5 years
Gelli 2018 No child fruit or vegetable intake outcome
Gentile 2009 Children in 3rd, 4th, 5th grade school
Gittelsohn 2010 Children aged 8 to 12 years
Glanz 2012 No child fruit or vegetable intake outcome
Glasper 2011 Not RCT: editorial
Glasson 2012 Participants were parents of primary school‐aged children
Glasson 2013 Not RCT
Golley 2012 Child mean age 8.3 years
Gomes 2018 Not RCT: quasi‐experimental
Goncalves 2018 Child mean age > 6 years
Gorham 2015 No comparison group
Gosliner 2010 Quasi‐experimental: childcare centres in existing study matched to other childcare centres, then randomised
Goto 2012 No child fruit or vegetable intake outcome
Gottesman 2003 No participants, not research trial
Graham 2008 Outcome not fruit and vegetable consumption
Granleese 2019 Not RCT
Gratton 2007 Children aged 11 to 16 years
Gregori 2014 No comparison group
Gripshover 2013 Intervention was not designed to increase fruit and/or vegetable consumption
Grupo de Diarios América 2019a Not RCT: editorial
Grupo de Diarios América 2019b Not RCT: editorial
Grupo de Diarios América 2019c Not RCT: editorial
Gucciardi 2019 Not RCT
Guenther 2014 No participants aged 0‐5 years
Guilfoyle 2019 Not RCT
Guldan 2000 Not RCT
Guo 2015 Participants were 3rd to 5th grade students
Haines 2016 No child fruit or vegetable intake outcome
Haines 2018 Primary outcome is BMI
Hambleton 2004 Children aged 9 to 10 years
Hammersley 2017 Primary outcome not fruit and vegetable intake, primary outcome is BMI
Hammons 2013 Children aged 5 to 13 years
Hancocks 2011 Not RCT: editorial
Hanks 2016 No fruit and vegetable consumption outcome
Hannon 2017 No child fruit or vegetable consumption outcome
Hansen 2016 Participants were children aged 6 to 14 years
Hanson 2017 Not a randomised study design
Hardy 2010a No fruit or vegetable intake outcome, only assessed lunchbox contents
Hardy 2010b No child fruit or vegetable intake outcome
Hare 2012 Child mean age 6.3 years
Haroun 2011 Participants were primary school children: aged 4 to 12 years old
Harris 2011 Children aged 5 to 12 years
Hart 2016 No child fruit or vegetable intake outcome
Harvey‐Berino 2003 No fruit and vegetable consumption outcome
Havas 1997 No assessments of children included in study
Havermans 2007 Participants had mean age of 5.2 years
Hawkins 2019 Primary outcome is child BMIz score
Heath 2010 No fruit and vegetable consumption outcome
Heerman 2019 The primary outcome of the trial is child body mass index trajectory over 1 year as per trial registration
Heim 2009 Children in 4th and 6th grade school
Helland 2013 Primary outcome was not fruit or vegetable intake; primary outcome was food neophobia and staff feeding practices
Helland 2016 Primary outcome was not fruit or vegetable intake; primary outcome was food neophobia and staff feeding practices
Helland 2017 No comparison group
Helle 2019 No fruit and vegetable consumption outcome, related to ongoing study Helle 2017
Hendy 2002 No comparison group
Hendy 2011 Participants were 1st, 2nd and 4th grade children
Herbold 2001 Participants were 1st and 6th grade children
Herring 2016 Not RCT: editorial
Hildebrand 2010 No comparison group
Hilpert 2019 Children aged 6.5 ‐ 7.2 years
Hoddinott 2017 Primary outcome not fruit and vegetable intake as per trial registry
Hoffman 2011 Child mean age 6.2 years
Hohman 2017 Fruit and vegetable intake not primary outcome as per trial registry BMI is primary outcome
Hollar 2013 Participants were kindergarten 5th grade children
Holley 2015 Not RCT: allocation was not randomised
Hooft 2013 No child fruit or vegetable intake outcome
Horne 2009 Child mean age 7 years
Horodynski 2004 Non‐equivalent control group study design
Hotz 2012a Intervention was not designed to increase fruit and/or vegetable consumption, intervention aimed to increase the consumption of orange sweet potato over consumption of white and yellow sweet potato
Hotz 2012b Intervention was not designed to increase fruit and/or vegetable consumption, intervention aimed to increase the consumption of orange sweet potato over consumption of white and yellow sweet potato
Howarth 2011 No comparison group
Hu 2010 Outcome was eating behaviours and weight, not fruit and vegetables
Hughes 2007 Outcome was feeding styles and behaviour
Hughes 2016b No fruit and vegetable consumption outcome
Hughes 2019 No child fruit and vegetable intake outcome
Hughes 2020 No fruit and vegetable intake outcome, only 'tried'
Hull 2017 No fruit and vegetable consumption outcome, related to awaiting classification Hull 2014
Iaia 2017 Fruit and vegetable intake not primary outcome, primary outcome combined health behaviour score
IFIC 2002 Children aged 9 to 12 years
Israelashvili 2005 No fruit and vegetable consumption outcome
Issanchou 2017 Not RCT
Izumi 2013 No child fruit or vegetable intake outcome
James 1992 No comparison group
Jancey 2014 No child fruit or vegetable intake outcome
Janicke 2013 Primary outcome was not fruit or vegetable intake; primary outcome was BMI
Jannat 2019 Primary outcome length for age z‐score and diarrhoea prevalence
Jansen 2010 Participants were children with mean age 5.8 years
Jansen 2017 Fruit and vegetable intake not primary outcome
Jayne 2008 Outcome was food choice
Jiménez‐Aguilar 2019 Not RCT
Johansson 2019 Primary outcome was body composition, as reported by trial registration
Johnson 1993 Fruit and vegetable consumption was measured in terms of dietitian‐classified 'appropriate' versus 'inappropriate' consumption levels, and as such, it failed to meet the inclusion criteria relating to the primary outcome
Johnson 2007 Outcome is food preference and ranking
Jordan 2010 No child fruit or vegetable intake outcome
Joseph 2015a No child fruit or vegetable intake outcome
Joseph 2015b No comparison group
Jung 2018 Not RCT
Just 2013 Participants were elementary school children
Kabahenda 2011 No child fruit or vegetable intake outcome
Kain 2012 Participants aged 6 to 12 years
Kalb 2005 No participants, not research trial
Kang 2017 Fruit and vegetable intake not primary outcome
Kannan 2016 Not RCT
Karanja 2012 Primary outcome was not fruit or vegetable intake; primary outcome was BMI
Karpyn 2017 Child mean age 8.55 years
Kashani 1991 Child mean age 10 years
Kaufman‐Shriqui 2016 Participants mean age 5.28 years
Kelder 1995 Children in 6th grade school
Keller 2014 Not RCT: editorial
Kennedy 2011 Participants were adults
Khanna 2019 Not RCT
Khoshnevisan 2004 Dietary outcomes not reported for the control group and no comparison made between experimental conditions
Kidala 2000 Quasi‐experimental: 2 areas, 1 intervention, 1 control, not randomly selected
Kilaru 2005 Outcome is proportion being fed bananas
Kilicarslan 2010 Child mean age 9.3 years
Kim 2019a Child mean age 5.1 years
Kimani‐Murage 2013 Primary outcome was exclusive breastfeeding
Kipping 2014 Participants aged 8 to 9 years
Kipping 2016 The primary outcomes are the acceptability of the intervention and the trial methods as per trial registration
Knoblock‐Hahn 2016 No fruit and vegetable consumption outcome
Knowlden 2015 Child mean age 5.18 years
Koehler 2007 No fruit and vegetable consumption outcome
Koff 2011 No comparison group
Ko Linda 2016 No participants aged < 5
Kolodinsky 2017 No fruit and vegetable intake outcome data reported: related to ongoing study Seguin 2017
Korwanich 2008 Quasi‐experimental: 8 intervention schools; 8 matched control schools
Kotler 2012 No fruit or vegetable intake outcome, only number of pieces of food consumed
Kotz 2010 Not RCT: editorial
Kral 2010 Participants were children with mean age 5.9 years
Krane 2017 Not RCT
Lambrinou 2019 Primary outcome is BMI
Lanigan 2010 Not RCT: review
Laramy 2017 No comparison group
LaRowe 2010 No comparison group
Larson 2011 No child fruit or vegetable intake outcome
Laureati 2014 Child mean age 7.9 years
Leahy 2008a No fruit and vegetable outcome
Leahy 2008b No fruit and vegetable consumption outcome
Leahy 2008c Fruit and vegetable consumption was secondary outcome
Ledoux 2017 No comparison group, pretest‐post‐test design
Lee 2017 Not RCT, related to ongoing study Lee 2018a
Lee 2018b Child mean age 7.7 years
Leme 2015 Participants were adolescents
Leonard 2019 Not RCT
Leroy 2019 Study aim to prevent undernutrition
Lin 2017 No fruit and vegetable outcome
Ling 2016a No child fruit or vegetable intake outcome
Ling 2016b Not RCT
Ling 2019 Quasi‐experimental design
Llargues 2011 Child mean age 6 years
Lloyd 2011 Participants were fathers of children aged 5 to 12 years
Locard 1987 No comparison group
Lohse 2017 Not RCT, editorial
Longacre 2015 No child fruit or vegetable intake outcome
Longley 2013 Not RCT: editorial
Loth 2017 Participants aged 8 to 12 years
Low 2007 Quasi‐experimental, 2 intervention areas, and 1 control area selected, in prospective longitudinal study
Luepker 1996 Child mean age 8.8 years
Lumeng 2012 Intervention was not designed to increase fruit and/or vegetable consumption, intervention aimed to improve children's emotional and behavioural self regulation on preventing obesity
Madden 2018 Not RCT
Maier 2007 Not RCT: treatment group not randomised
Maier 2008 Not RCT
Maier‐Noth 2016 Not RCT
Maier‐Noth 2017 Not RCT
Malden 2018 Primary outcomes: BMI z‐score, nursery and home physical activity, nursery and home sedentary behaviour
Malekafzali 2000 No fruit and vegetable consumption data
Manger 2012 Child mean age 5.7 years
Manios 1999 Not RCT
Manios 2009 No comparison group
Manios 2018 Primary outcome BMI, as reported in trial registration
Mann 2015 No outcome data: related to ongoing study Østbye 2015
Mann 2018 Not RCT
Marcano‐Olivier 2019 Participants were grade 1 to 6 children
Markert 2014 Child mean age 9 years
Marquard 2011 No child fruit or vegetable intake outcome
Martens 2008 Children aged 12 to 14 years
Mathias 2012 Participants were children with mean age 5.4 years
Mbogori 2016 No comparison group
McGowan 2013 Primary outcome was not fruit or vegetable intake; primary outcome was parental habit strength
McKenzie 1996 Child mean age 6.3 to 6.8 years
McSweeney 2017 Fruit and vegetables not primary outcome, primary outcomes were related to feasibility
Mehta 2014 No comparison group
Meinen 2012 Child mean age 9.9 years
Melnick 2018 Not RCT
Mennella 2006 Not RCT
Mennella 2017 No fruit and vegetable consumption outcome
Merida 2019 Quasi‐experimental
Metcalfe 2016 Participants were children aged 8 to 13 years
Metcalfe 2017 Participants aged 8 to 14 years
Mok 2017 Fruit and vegetables not primary outcome, primary outcome Vitamin D plasma concentrations
Molitor 2016 No comparison group: cross‐sectional study
Monterrosa 2013 Not RCT: quasi‐experimental
Moran 2019 Child participant between 6 and 10 years of age
Morgan 2016 Not RCT
Morgan 2017 Participants were aged 5 to 12 years old
Morison 2018 Primary outcome BMI
Morrill 2016 Participants were grade 1 to 5 students
Morshed 2018 No child fruit or vegetable intake outcome
Mozer 2019 Not RCT
Murimi 2017 No fruit and vegetable outcome
Nabors 2015 Participants mean age 6.12 years
Nansel 2016 Participants aged 8.0 to 16.9 years
Nansel 2017 Participants in the CHEF trial were ages 8 to 16 years
NAPNAP 2006 Guidelines not trial, so no participants
Natale 2014b Primary outcome was not fruit or vegetable intake as per trial registry
Nederkoorn 2018 Mean age of participants 5.85 years
Nemet 2007 Child mean age 5.5 years
Nemet 2008 Children aged 8 to 11 years
Nemet 2011 No fruit and vegetable consumption outcome
Nerud 2017 No fruit and vegetable intake outcome
Nguyen 2017 Participants were 4th and 5th grade children
Nicklas 2011 Not fruit and vegetable intake outcome reported, only preference.
Niederer 2011 Child mean age 5.2 years
Noller 2006 No child fruit or vegetable intake outcome
Novotny 2011 Not RCT
Nunes 2017 Primary outcome is frequency of exclusive and total breastfeeding as per trial registry
Nystrom 2017 Fruit and vegetable not primary outcome, primary outcome was BMI
O'Connor 2010 No comparison group
O'Sullivan 2017 Fruit and vegetable not primary outcome: primary outcomes relate to school readiness, physical health etc
Ogle 2016 Participants aged 6 to 9 years
Ojeda‐Rodriguez 2018 Children were aged 7 to 16 years
Olsen 2019 Study design: no random allocation of intervention
Olvera 2010 Children aged 7 to 13 years
Onnerfält 2012 Primary outcome was not fruit or vegetable intake; primary outcome was BMI
Overcash 2017 Children were aged 9 to 12 years
Paineau 2010 Participants were children in 2nd and 3rd grade
Panunzio 2007 Children in 4th grade school
Parcel 1989 Children in 3rd, 4th grade school
Parekh 2018 Study design: combined all baseline data before randomisation
Park 2018 Not RCT
Passehl 2004 Outcome is process evaluation
Peracchio 2016 No fruit and vegetable consumption outcome
Perry 1985 Children in 3rd, 4th grade school
Persky 2018 Child mean age across treatment groups 5.26 to 5.51 years
Persson 2018 Primary outcomes are children's BMI and waist circumference at 4 years
Peters 2012a No child fruit or vegetable intake outcome
Poelman 2019 The average age was 5.1 years (SD 0.8, range 4 to 6.8 years)
Poeta 2019 Mean age follow‐up 5.4 years
Polacsek 2017 No fruit and vegetable consumption outcome
Potter 2019 Not RCT
Prelip 2011 Participants were 3rd to 5th grade children
Presti 2015 Participants aged 5 to 11 years
Price 2015 Children were aged 6 to 12 years
Prosper 2009 Child mean age 11.7 years
Puia 2017 Participants aged 5 to 15 years
Quandt 2013 No child fruit or vegetable intake outcome
Quizan‐Plata 2012 Participants were primary school children
Rackliffe 2016 Not RCT: resource review
Rahman 1994 Outcome asks if vegetables eaten today (yes/no). No amount provided
Raine 2018 Not RCT: editorial
Rangelov 2018 Child mean age 8.5 years
Ransley 2007 Non‐RCT. 1 intervention sample and 1 matched control sample
Ray 2019 Not RCT
Raynor 2012 Child mean age 6.7 years
Reicks 2012 Children aged 9 to 12 years
Reifsnider 2012 No child fruit or vegetable intake outcome
Reinaerts 2007 Quasi‐experimental: consenting schools paired then randomised to 1 of 2 interventions. Control schools in different area identified and then matched
Reinbott 2016 Primary aim (as per trial registry) is mean height for age z‐scores
Reinehr 2011 Primary outcome was not fruit or vegetable intake, primary outcome was weight
Reverdy 2008 Children aged 8 to 10 years
Reynolds 1998 Participants were 4th grade children
Reznar 2013 No fruit or vegetable intake outcome, only assessed diet quality
Ribeiro 2014 Children aged 6 to 11 years
Ridberg 2019 Not RCT
Riggsbee 2018 Quasi‐experimental
Rioux 2018 No fruit and vegetable intake outcome
Ritchie 2010 Children aged 9 to 10 years
Rito 2013 Child mean age 8.6 years
Robertson 2013 Primary outcome was not fruit or vegetable intake; primary outcome was waist circumference and self‐esteem
Robson 2019 Primary outcome BMI z‐score, as reported in trial registration
Roche 2016 Not RCT: quasi‐experimental non‐randomised study
Rogers 2013 Child mean age 11 years
Rohde 2017 As per trial registry, fruit and vegetable not primary outcome, anthropometry is primary outcome
Rohlfs 2013 Not RCT
Romo 2018 Not RCT
Romo‐Palafox 2017 No comparison group
Roychoudhury 2019 Primary outcomes are cognitive development and iron status and other micronutrient status
Rubenstein 2010 No fruit or vegetable intake outcome, only assessed child‐feeding practices
Ruottinen 2008 The intervention programme was not specifically designed to increase consumption of fruit and vegetables.
The aim of intervention, as reported in a separate paper (Lapinleimu 1995) is to investigate the effects of an individually supervised, eucaloric, diet with low content of fat, saturated fat and cholesterol in healthy children”
Russell 2018 Not RCT, review, data drawn from multiple excluded trials Campbell 2013; Taylor 2010
Salminen 2005 Children aged 6 to 17 years
Salvy 2018 Primary outcome weight
Sanders 2014 Primary outcome was not fruit or vegetable intake; primary outcome was BMI
Sanigorski 2008 Child mean age 8 years
Sanjur 1990 No fruit and vegetable outcome
Sanna 2011 Intervention was not designed to increase fruit and/or vegetable consumption, intervention focused on dietary fat quality
Savage 2010 Comparison between treatment groups not reported for fruit and vegetable consumption
Scherr 2017 Participants were 4th grade students
Schmied 2015 Participants were parents of children with mean age of 10 years
Schuler 2019 No child fruit or vegetable intake outcome
Schumacher 2015 Child participants had median age of 12.9 years
Schwartz 2007a Study design used convenience sample
Schwartz 2007b Quasi‐experimental: 2 elementary schools randomly allocated to 1 intervention and 1 control
Schwartz 2015 Not RCT
Serebrennikov 2020 Participant mean age 7.8 years
Shahriarzadeh 2017 Children aged 6 to 12 years, as reported by trial registration
Sharafi 2016 Intervention did not aim to increase consumption of fruit or vegetables
Sharma 2016 Participants were 1st grade children
Sharps 2016 Participants were children aged 6 to 11 years
Sherwood 2013 Primary outcome was not fruit or vegetable intake; primary outcome was BMI
Shilts 2014 Not RCT as confirmed by trial author
Shim 2011 No child fruit or vegetable intake outcome
Shin 2014 Participants were 4th to 6th grade children
Siega‐Riz 2004 No comparison group
Singh 2018 Not RCT
Skouteris 2014 No child fruit or vegetable intake outcome
Slusser 2012 Primary outcome was not fruit or vegetable intake; primary outcome was BMI
Smethers 2019a Primary outcome differences in food and beverage intake by energy, as reported in trial registration
Smethers 2019b Not RCT
Smith 2013 No fruit and vegetable intake outcome
Smith 2015 No comparison group
Snelling 2017 Participants were children in grades K to 5
Sobko 2011 Primary outcome was not fruit or vegetable intake; primary outcome was BMI
Sobko 2017 Not RCT, related to ongoing study Sobko 2016
Sojkowski 2012 No comparison group
Solomons 1999 Review, not trial, no participants
Song 2016 Participants were 4th and 5th grade students
Sotos‐Prieto 2013 Primary outcome was not fruit or vegetable intake; primary outcome was change in overall knowledge, attitudes and habits
Speirs 2013 Participants were parents of elementary school children
Stark 1986 No fruit and vegetable consumption outcome
Stark 2011 Primary outcome was not fruit or vegetable intake; primary outcome was BMI
Steenbock 2017 Not RCT: allocation not randomised
Stern 2018 Participants were parents of children aged 5 to 13 years
Story 2012 Participants mean age 5.84 years
Suarez‐Balcazar 2014 Participants were kindergarten and 1st grade children
Sun 2017 No fruit and vegetable intake outcome
Sweitzer 2010 Primary outcome was not fruit or vegetable intake; primary outcome was observed servings in packed lunch
Tande 2013 No comparison group
Taylor 2007 Child mean age 7.7 years
Taylor 2010 Primary outcome was not fruit or vegetable intake; primary outcome was BMI
Taylor 2013a Participants were primary school‐aged children 4 to 11 years old
Taylor 2013b No child fruit or vegetable intake outcome
Taylor 2013c Primary outcome, as per trial registry, was not fruit or vegetable intake
Taylor 2015a Not RCT: review
Taylor 2015b Participants' mean age 6.5 years
Taylor 2016 Fruit and vegetable intake not primary outcome, primary outcome was anthropometric measures as per trial registry
Te Velde 2008 Children aged 10 to 13 years
Tharrey 2017 Primary outcome was not fruit and vegetable intake
Thomson 2014 Fruit and vegetable intake not primary outcome, primary outcome was weight‐for‐length
Timms 2011 Not RCT: editorial
Tobey 2016 Not RCT: allocation not random
Tomayko 2016 Fruit and vegetable intake not primary outcome, primary outcome was BMI
Tomayko 2017 Not RCT: allocation not random
Tomayko 2019 Primary outcome child and adult adiposity, as per trial registration
Tovar 2017 Not RCT: uses baseline data from an ongoing study, Østbye 2015
Tran 2017 Not RCT
Tucker 2011 Participants were 4th and 5th grade school children
Tucker 2019 Not RCT
Tully 2018 Not RCT
Turnwald 2017 Intervention conducted in a university cafeteria
Tyler 2016 Participants were aged 8 to 12 years
Uicab‐Pool 2009 Outcome was eating habits
Upton 2013 Participants were primary school children aged 4 to 11 years
Urrutia 2017 Not RCT
Utter 2017 Not a RCT
Vandeweghe 2016 No fruit and vegetable intake outcome
Van Horn 2005 Children aged 8 to 10 years
Van Horn 2011 Not RCT: editorial
Van Nassau 2015 Not RCT: commentary
Van Stappen 2019 Children aged 6–9 years
Vaughn 2017 No fruit and vegetable consumption outcome, related to ongoing study Østbye 2015
Vaughn 2019 Primary outcome is change in nutrition and physical activity environment score
Vecchiarelli 2005 Children school‐aged
Vega 2018 Not RCT
Veldhuis 2009 Outcome was weight, not fruit and vegetable consumption
Viggiano 2012 Children aged 9 to 19 years
Vio 2014 Not RCT
Vitolo 2005 Primary outcome is exclusive breastfeeding, as reported in trial registration
Vitolo 2010 Primary outcome was not fruit or vegetable intake; primary outcome was Healthy Eating Index
Vitolo 2014 Fruit and vegetable intake not primary outcome, as per trial registry primary outcome was exclusive breastfeeding
Wald 2017 Participants had mean age of 5.5 years (intervention) or 5.4 years (control)
Walsh 2016 Not RCT
Walton 2015 Primary outcome, as per trial registry, was not fruit or vegetable intake; primary outcome was BMI
Wansink 2013 Participants were middle school children
Wansink 2014 Participants were middle school children
Wansink 2018 Not RCT
Ward 2011 Primary outcome was not fruit or vegetable intake; primary outcome was percent body fat
Ward 2017 Primary outcome is change in centre's nutrition environments
Wardle 2003b Child mean age 6 years
Warschburger 2018 Participants were children aged 8 to 16 years
Wells 2005 Not RCT: cross‐sectional
Wen 2007 Primary outcome was not fruit or vegetable intake; primary outcome was BMI
Wen 2011 Primary outcome: duration of breastfeeding and timing of introduction of solids, as described in the published research protocol
Wen 2013 Primary outcome was not fruit or vegetable intake; primary outcome was good eating behaviour
Wen 2017 Fruit and vegetable intake was secondary outcome
Wengreen 2013 Participants were elementary school children
Wengreen 2018 Participants were 1st to 6th grade students
Whaley 2010 Study design in intervention and matched control site
Whiteside‐Mansell 2017 No fruit and vegetable intake outcome
Wijesinha‐Bettoni 2013 Children aged 6 to 12 years
Williamson 2013 Participants were primary school children
Wilson 2016 No fruit and vegetable consumption outcome
Wilson 2018 Primary outcome is BMI, as reported in trial registration
Woodruff 2019 Participants were adults
Wright 2018 Mean age of children 7.4 years
Wyatt 2013 Children aged 9 to 10 years
Wyse 2014 No child fruit or vegetable intake outcome
Wyse 2019 The primary outcomes are the mean energy content of online canteen lunch order purchases
Yeh 2017 No fruit and vegetable intake outcome
Yin 2012 Intervention was not designed to increase fruit and/or vegetable consumption
Yoong 2017 Fruit and vegetable intake was not primary outcome, primary outcome was children's service compliance with dietary guidelines
Yoong 2019 Primary outcome related to service compliance with nutrition guidelines
Young 2017 No fruit and vegetable intake outcome
Zask 2012 Primary outcome was not fruit or vegetable intake; primary outcome was BMI
Zeinstra 2010 Participants were children with mean age 5.1 to 5.2 years
Zhou 2016 Participants were young adults
Zhou 2017 Not RCT
Zongrone 2018 No fruit and vegetable consumption outcome
Zota 2016 Child mean age as reported by author 8.6 years
Zotor 2008 Children aged 11 to 15 years
Østbye 2012 Primary outcome was not fruit or vegetable intake; primary outcome as per trial registry was BMI
Μιχαλοπούλου 2019 Not RCT

BMI: body mass index; RCT: randomised controlled trial; SD: standard deviation

Characteristics of studies awaiting classification [ordered by study ID]

Bersamin 2019.

Methods  
Participants  
Interventions  
Outcomes  
Notes Insufficient information available in abstract to determine eligibility (abersamin@alaska.edu)

Coulthard 2017.

Methods  
Participants  
Interventions  
Outcomes  
Notes Insufficient information available in trial registry to determine eligibility (hcoulthard@dmu.ac.uk)

Gross 2012.

Methods  
Participants  
Interventions  
Outcomes  
Notes Insufficient information available in abstract to determine eligibility (Mary.Messito@nyulangone.org)

Hoppu 2015.

Methods  
Participants  
Interventions  
Outcomes  
Notes Insufficient information available in trial registry to determine eligibility (mari.sandell@utu.fi)

Hull 2014.

Methods  
Participants  
Interventions  
Outcomes  
Notes No full text available to determine eligibility. Contact with trial author reported chapter describing study currently underway

Huye 2018.

Methods  
Participants  
Interventions  
Outcomes  
Notes Insufficient information in abstract to determine study eligibility regarding outcome: we will contact trial authors to confirm

Karmali 2019.

Methods  
Participants  
Interventions  
Outcomes  
Notes Insufficient information available in trial registry to determine eligibility (jenirwin@uwo.ca)

Kim 2019b.

Methods  
Participants  
Interventions  
Outcomes  
Notes To be contacted to confirm study eligibility regarding participant age and outcome

Martinez 2018.

Methods  
Participants  
Interventions  
Outcomes  
Notes Author contacted to clarify eligibility on basis of outcome (smartinez@iadb.org)

NCT02069249.

Methods  
Participants  
Interventions  
Outcomes  
Notes Insufficient information available in trial registry to determine eligibility (michal.kahn@flinders.edu.au)

NCT02456623.

Methods  
Participants  
Interventions  
Outcomes  
Notes Insufficient information available in trial registry to determine eligibility (hjanisse@emich.edu)

NCT02789215.

Methods  
Participants  
Interventions  
Outcomes  
Notes Insufficient information available in trial registry to determine eligibility (hjanisse@emich.edu)

NCT02975232.

Methods  
Participants  
Interventions  
Outcomes  
Notes Insufficient information available in trial registry to determine eligibility (mpolacsek@une.edu)

NCT03363048.

Methods  
Participants  
Interventions  
Outcomes  
Notes Insufficient information available in trial registry to determine eligibility (harna001@umn.edu)

Rodrigo 2018.

Methods  
Participants  
Interventions  
Outcomes  
Notes Insufficient information available in trial registry to determine eligibility (dinithividanage@gmail.com)

Roed 2019.

Methods  
Participants  
Interventions  
Outcomes  
Notes Insufficient information available in protocol to determine eligibility (margrethe.roed@uia.no; nina.c.overby@uia.no)

Rosas 2017.

Methods  
Participants  
Interventions  
Outcomes  
Notes Insufficient information available in abstract to determine eligibility (imendez@cimat.mx)

Shah 2016.

Methods  
Participants  
Interventions  
Outcomes  
Notes Insufficient information available in trial registry to determine eligibility (marjorie.rosenthal@yale.edu)

Sharkey 2019.

Methods  
Participants  
Interventions  
Outcomes  
Notes Insufficient information available in abstract to determine eligibility (jrsharkey@sph.tamhsc.edu)

Wolnicka 2017.

Methods  
Participants  
Interventions  
Outcomes  
Notes Insufficient information available in abstract to determine eligibility (marjorie.rosenthal@yale.edu)

RCT: randomised controlled trial

Characteristics of ongoing studies [ordered by study ID]

Belanger 2016.

Study name Healthy start‐Départ santé
Methods C‐RCT
Participants Approximately 735 children aged 3‐5 years from 62 Early Childcare Centres
Interventions Intervention: “The intervention is composed of six interlinked components which are presented in more detail in Fig. 1. These components include: 1) intersectoral partnerships conducive to participatory action that leads to promoting healthy weights in communities and ECC; 2) the Healthy Start‐Départ Santé implementation manual for educators on how to integrate healthy eating and physical activity in their centre; 3) customized training, role modelling and monitoring of Healthy Start‐Départ Santé in ECC; 4) the evidence‐based resource, LEAP‐GRANDIR [16], which contains material for both families and educators; 5) supplementary resources from governmental partners; and 6) a knowledge development and exchange (KDE), and communication strategy involving social media and web‐resources to raise awareness and mobilize grassroots organizations and communities.
Healthy Start‐Départ Santé is delivered over 6‐8 months and includes a partnership agreement, an initial training session which orients ECC staff to the concepts, the implementation manual and the use of resources, on‐going support and monitoring over time, one tailored booster session, and a family day to celebrate the ECC’ success at the end of the intervention.”
Control: “Usual practice controls” “Control sites are given the option of receiving the intervention once their participation in the evaluation has been completed”
Outcomes Usual intake of fruit and vegetables assessed via parent‐reported semi‐quantitative, food‐frequency questionnaire
Starting date Participant recruitment began in Autumn 2013
Contact information Anne Leis: Anne.Leis@usask.ca
Notes  

Blomkvist 2018.

Study name A cluster randomized web‐based intervention trial to reduce food neophobia and promote healthy diets among one‐year‐old children in kindergarten: study protocol
Methods Aim: trial aims to develop, measure and compare the effect of 2 different interventions among 1‐year‐old children in kindergartens to reduce food neophobia and promote healthy diets.
Design: 3‐arm C‐RCT
Participants N = 210 children born in 2016 attending one of 46 participating kindergartens
Interventions Intervention group 1: kindergartens will be asked to serve a warm lunch meal with a variety of vegetables 3 days a week during the intervention period which will last for 3 months
Intervention group 2: kindergartens will be asked to use given pedagogical tools including sensory lessons (the Sapere method) and advice on meal practice and feeding styles, in addition to serving the same meals as intervention group 1
Control: control kindergartens will continue their usual practices
Outcomes Primary outcomes:
1. Child vegetable intake assessed at baseline, after the intervention, and at the ages of 36 and 48 months
2. Children’s level of food neophobia assessed at baseline, after the intervention, and at the ages of 36 and 48 months
3. Child dietary habits and food variety assessed at baseline, after the intervention, and at the ages of 36 and 48 months
Starting date The trial started in August 2017
Contact information eli.anne.myrvoll.blomkvist@uia.no
Notes ISRCTN98064772

Brophy‐Herb 2017.

Study name Simply dinner study
Methods Multiphase Optimization Strategy (MOST), where the main, additive and interactive effects of 6 support strategies are first tested in a screening phase to identify the intervention components most robustly associated with increased family meals and improvements in dietary quality.
The MOST factorial design includes 6 intervention components with a Usual Head Start Exposure condition (usual‐care control); thus, individual participants are randomised to one of 64 experimental conditions. The 64 experimental conditions result from the crossing of 6 Simply Dinner intervention components, each of which has 2 conditions (present vs not), and reflect all possible pairings of the intervention components, including a no‐intervention condition.
These components are then tested in the confirming phase via RCT
Participants Families from Head Start preschools (disadvantaged families)
Interventions 6 intervention components ranging from the most to least intense forms of support
  1. Meal delivery (MD): home delivery of pre‐made healthy family meals including recipes that are ready to heat and eat

  2. Ingredient delivery (ID): home delivery of ingredients with recipes to make and cook healthy family meals

  3. Community kitchen (CK): sessions in which families make healthy meals with recipes to take home and cook

  4. Didactics healthy eating classes with recipes via the Parents of Preschoolers (POPS) curriculum

  5. Cooking demonstration (CD): demonstration of meal preparation with recipes; and

  6. Cookware/flatware: delivery of flatware/cookware to utilise for family meals

Outcomes Children’s diet quality over the previous week assessed using the Block Dietary Data Systems Kids Food Screener—Last Week (Version 2)
Starting date Screening design: "planned completion is Dec 2017”
Confirming RCT planned to commence in September 2018
Contact information Holly‐E Brophy‐Herb: hbrophy@hdfs.msu.edu
Notes Clincaltrials.gov Identifier NCT02487251; Registered 26 June 2015

Helle 2017.

Study name Early food for future health: a randomized controlled trial evaluating the effect of an eHealth intervention aiming to promote healthy food habits from early childhood
Methods RCT of parents with children aged 3‐5 months recruited through Norwegian child health centres and announcements on Facebook
Baseline questionnaires assessed eating behaviour and feeding practices, food variety and diet quality. All participants will be followed up at ages 12 and possibly 24 and 48 months, with questionnaires relating to eating behaviour and feeding practices, food variety and diet quality.
Participants Parents of children aged 3‐5 months
Interventions The intervention group received monthly emails with links to an age‐appropriate website when their child was 6 ‐12 months
Outcomes Eating behaviour and feeding practices, food variety and diet quality
Starting date Participant recruitment began in March 2016
Contact information Christine Helle:
christine.helle@uia.no
Notes ISRCTN13601567

Hennink‐Kaminski 2017.

Study name Healthy me, healthy we (HMHW) trial
Methods 2‐arm, C‐RCT, where childcare centres are randomly assigned to an intervention or waitlist control group
Participants 96 childcare centres located in central North Carolina (NC), USA
Classroom teachers of children aged 3‐4 years
768 parents and children dyads (aged 3‐4 years)
Interventions 8‐month social marketing campaign delivered over the year targeting childcare teachers and parents
Childcare component involves a kick‐off event including hanging of study (HMHW) banner, inviting parents to attend, hanging of classroom poster, signing the Fit Family Promise and engaging in classroom activity.
Kick‐off event followed by four 6‐week classroom units targeting healthy eating and physical activity goals through both classroom and home components.
Home components include a family guide (targeted at achieving unit goals) and activity tracker (to track completion of at‐home activities), and aim to help parents partner with the childcare centre.
Control: waitlist control group
Outcomes Primary: children's dietary intakes will be assessed using a combination of direct observation of foods and beverages consumed while at the centre and parent‐completed food diaries. Dietary intake at child care (outside of parent's supervision) will be assessed by trained data collectors during observations of participating children during breakfast/morning snack, lunch, and afternoon snack using the Diet Observation in Child Care protocol. Children’s diet quality will be assessed with Healthy Eating Index (HEI) scores
Starting date October (year unclear)
Contact information Heidi Hennink‐Kaminski: h2kamins@unc.edu
Notes Registered at ClinicalTrials.gov (NCT0233‐345, 23 December 2014)

Horodynski 2011.

Study name The healthy toddlers trial
Methods RCT
Participants Approximately 600 children aged 12‐26 months recruited from community programmes, immunisation clinics and food pantries
Interventions Intervention: “HT addresses core nutrition concepts but moves well beyond basic nutrition to address maternal self‐efficacy during feeding, appropriate feeding styles, and practices, including skill development to increase success in making these behavioural changes.”
“The HT intervention consists of eight in‐home visits by a specially trained paraprofessional instructor plus four weekly telephone follow‐up reinforcement contacts. Particularly for high‐risk families with young children, providing services within the context of the family’s home environment appears to be a useful and effective strategy to provide parents with information, emotional support, access to other services and direct education [19]. The home‐visitation model also engages families who lack transportation or child care, a challenge frequently reported by families with low incomes. Paraprofessional instructors are peer educators who can relate to the target audience. Research shows that people learn best from their peers (people like themselves). Eight home visit sessions have been found to produce behavioral change [20]. At each visit, the paraprofessional spends approximately 1 hour with the mother and toddler dyad. The HT lessons use a variety of techniques and materials to enhance each mother’s learning experience and help reinforce knowledge. Each lesson includes opportunities for discussion, hands‐on activities, and an opportunity for mothers to practice skills covered in the lesson. The eight lessons include a lesson plan, handouts, and recipes. Mothers receive a notebook binder at the beginning of Lesson 1.”
Control: “The control group families receive the usual services provided by Building strong families (BSF) or Expanded Food and Nutrition Education Program (EFNEP) in respective states. These families are newly enrolled into BSF or EFNEP as part of the HT study and have not received home visitation previously. The control lessons are similarly delivered as the HT lessons, such that, a paraprofessional instructor provides eight lessons during an in‐home visit, which last approximately 60 minutes. However, the control lessons focus on parenting (BSF) or nutrition (EFNEP) and do not include extensive content on feeding toddlers. Paraprofessionals who provide the lessons for the control group families are different to prevent cross contamination between the two groups.”
Outcomes Child fruit and vegetable intake will be assessed via 3‐day dietary record of child’s intake
Starting date Unknown
Contact information Mildred Horodynski: millie@msu.edu
Notes  

Hughes 2016a.

Study name Strategies for effective eating development—SEEDS: design of an obesity prevention program to promote healthy food preferences and eating self‐regulation in children From Low‐Income Families
Methods Aims:
1. develop a scientifically based, culturally relevant, 7‐week, family‐based obesity prevention programme focused on supporting child eating self‐regulation and exploration of novel foods; and
2. test programme efficacy by conducting a RCT among Hispanic families with pre‐schoolers at 2 separate locations. Children in the prevention programme are expected to increase eating self‐regulation and increase fruit and vegetable intake and variety, and parents will increase responsive feeding behaviours.
Design: randomised, controlled prevention programme, pretest, post‐test, 6 months, and 12 months
Participants Recruitment at Head Start districts (Texas; n¼160) and Inspire Child Development Center including Early Childhood Education and Head Start (Washington; n ¼ 160). Sixteen trials with 16–20 parent–child dyads per trial will provide adequate power to detect moderate effects.
Interventions Multicomponent family‐based prevention programme incorporating a dialogue approach to adult learning and self‐determination theory
Outcomes Main outcome measure: child assessments will include observed taste preferences, caloric compensation, and eating in the absence of hunger. Parent assessments will include parent‐reported feeding, feeding emotions, acculturation, child eating behaviours, child food preferences, and child dietary intake. Heights and weights will be measured for parent and child.
Starting date Not stated
Contact information shughes@bcm.edu
Notes No trials registration listed

Ingalls 2019.

Study name Family Spirit Nurture (FSN) – a randomized controlled trial to prevent early childhood obesity in American Indian populations: trial rationale and study protocol
Methods Primary research questions include
1) Is the intervention effective in increasing mothers’ likelihood of meeting breastfeeding and complementary feeding recommendations?
2) Does the intervention improve responsive parenting/feeding behaviours?
3) Is the intervention effective in decreasing children’s consumption of sugar sweetened beverages, snacks and desserts, and increasing consumption of age‐appropriate fruit and vegetables?;
4) Is the intervention effective in increasing children’s physical activity levels and decreasing children’s screen time and other sedentary activities?
5) Does the intervention improve children’s BMI z‐scores?
Study design: 2‐arm RCT
Participants N = 338 expectant Native American mothers aged 14–24 who are having their first or second baby
Interventions A home‐visiting programme called Family Spirit Nurture (FSN). The intervention includes 36 lessons delivered one‐on‐one by locally hired Native American Family Health Coaches
Outcomes Primary outcomes: impact on maternal feeding behaviours; children’s healthy diet and physical activity; children’s weight status. Secondary measures include maternal psychosocial factors; household food and water security; infant sleep and temperament; and maternal and child metabolic status.
Starting date 25 September 2017
Contact information aingalls@jhu.edu
Notes NCT03334266 ‐ Preventing Early Childhood Obesity, Part 2: Family
Spirit Nurture, Prenatal ‐ 18 Months

Lee 2018a.

Study name Design and methodology of a cluster‐randomized trial in early care and education centers to meet physical activity guidelines: Sustainability via Active Garden Education (SAGE)
Methods Aim: the primary objective of the SAGE C‐RCT is to determine the impact, transfer, and delivery of a garden‐based early care and education centres' physical activity and fruit and vegetables promotion intervention to improve health habits in Hispanic or Latino children aged 3–5 years. Secondary objectives are to investigate the process of delivery by measuring the reach, adoption, and implementation of the intervention.
Design: cross‐over, C‐RCT, implemented in 28 early care and education centre sites in 3 cohorts over 3 years
Participants Hispanic or Latino children aged 3–5 years attending participating 20 early care and education centres
Interventions A garden‐based early care and education centre physical activity and fruit and vegetables promotion intervention for young children aged 3–5 years in 20 sites. The SAGE curriculum uses the plant lifecycle as a metaphor for human development. Children learn how to plant, water, weed, harvest, and do simple food preparation involving washing, cleaning, and sampling fruit and vegetables along with active learning songs, games, science experiments, mindful eating exercises, and interactive discussions to reinforce various healthy lifestyle topics. Parents will receive newsletters and text messages linked to the curriculum, describing local resources and events, and to remind them about activities and assessments.
Outcomes Primary outcomes
1. Change physical activity; sedentary time (time frame: 4 assessment periods: baseline, 4 months, 8 months weeks, and 12 months) assessed by ActiGraph accelerometers
2. Fruit and vegetable consumption (time frame: 4 assessment periods: baseline, 4 months, 8 months weeks, and 12 months) 24 h diet recalls
Starting date 30 January 2017
Contact information releephd@yahoo.com
Notes NCT03261492

Mehdizadeh 2018.

Study name A customized intervention program aiming to improve healthy eating and physical activity among preschool children: protocol for a randomized controlled trial (Iran Healthy Start Study)
Methods Objectives
  1. To customise and implement the health promotion programme (Iran Healthy Start), aligned with preschool bylaws in Iran

  2. To determine whether Iran Healthy Start programme can:

    1. increase physical activity level and attraction to physical activity among preschoolers

    2. reduce sedentary behaviours at home among preschoolers

    3. improve anthropometric parameters in preschoolers toward healthy weights

    4. improve quality of life in preschoolers

    5. improve eating habits and nutrition risk among preschoolers

  3. To evaluate the feasibility, attrition rate, as well as facilitators and barriers for implementing this programme in Iranian preschools

  4. To calibrate measurement tools: validating the Persian translation of Nutrition Screening Tool for Every Preschooler and Children Attraction toward Physical Activity


Design: RCT
Participants N = 300 children attending 1 of 6 child care centres
Interventions The components of intervention include customised Decoda Web‐based resources for children, an implementation guide for educators and managers, training and
monitoring, communication and knowledge exchange, building partnership, and parent engagement.
Outcomes
  1. Anthropometry (children): weight, height, waist and arm circumference, BMI percentile, BMI z‐scores for age

  2. Nutrition risk (children): Nutrition Screening Tool for Every Preschooler; food intake and eating habits 24‐h recall x 3

  3. Physical activity level (children): Children's attitude toward physical activity; physical activity level at home; physical activity level by pedometers

  4. Quality of life (children): Pediatric Quality of Life Inventory questionnaire

Starting date Expected recruitment start date 4 October 2017
Contact information vatan.h@usask.ca
Notes IRCT2016041927475N1

NCT03229629.

Study name What promotes healthy eating?
Methods Factorial, RCT
Participants 7200 mother‐father‐child pairs
Interventions Group 1: weekly maternal nutrition behaviour‐change communication (BCC) sessions for 4 months
Group 2: weekly maternal nutrition BCC sessions for 4 months and weekly paternal nutrition BCC sessions for 3 months
Group 3: receipt of a food voucher for 6 months (randomly select 1 parent)
Group 4: weekly maternal nutrition BCC sessions for 4 months and receipt of a food voucher for 6 months
Group 5 weekly maternal nutrition BCC sessions for 4 months and weekly paternal nutrition BCC sessions for 3 months and receipt of a food voucher for 6 months
Control group: unspecified
Outcomes Child dietary diversity score
Mean difference in child dietary diversity score defined by consumption of number of food group consumed by a child
Food consumption score
Mean difference in food consumption score calculated using the frequency of consumption of different food groups consumed by a child.
Starting date Registration date: 25 July 2017 – status was recruiting
Contact information Hyuncheol Kim: hk788@cornell.edu
Notes This trial was registered at clinicaltrials.gov as NCT03229629

NCT03597061.

Study name Healthy start to feeding intervention
Methods Aim: the purpose of this research study is to pilot test a prevention programme to promote healthy introduction of solid foods and healthy weight gain among infants.
Design: 2‐arm RCT (no intervention control)
Participants N = 40 infants aged 2‐3 months at study recruitment
Interventions Participants and their parents will participate in a 3‐session intervention targeting healthy introduction of complementary foods. Intervention sessions will occur when the infant is 4, 6, and 9 months of age.
Outcomes Weight‐for‐Length Percentile
Appetite
Fruit and Vegetable Variety
Starting date 1 November 2018
Contact information Cathleen.Stough@uc.edu
Notes NCT03597061

Risica 2019.

Study name Improving nutrition and physical activity environments of family child care homes: the rationale, design and study protocol of the 'Healthy Start/Comienzos Sanos' cluster randomized trial
Methods C‐RCT
Participants N = 132 family child care providers (FCCPs) who care for 2–5‐year old children
Interventions The intervention will integrate:
  1. support from peer counsellors with child care experience who will serve as team leaders for groups of FCCPs;

  2. tailored print and video materials; and

  3. a set of portable active toys.

Outcomes Primary outcomes include children’s dietary quality, physical activity and sedentary behaviours, screen‐time at FCCHs. Secondary outcomes include the food, physical activity and screen‐time environments of FCCHs and the food and activity‐related practices of FCCP.
Starting date December 2015
Contact information patricia_risica@brown.edu
Notes NCT02452645

Seguin 2017.

Study name Farm fresh foods for healthy kids (F3HK)
Methods The Farm Fresh Foods for Healthy Kids community‐based, randomised intervention trial will build on formative and longitudinal research to examine the impact of cost‐offset community supported agriculture on diet and other health behaviours as well as the economic impacts on local economies. In each programme, families will be recruited to join existing community supported agriculture programmes in New York, North Carolina, Vermont, and Washington, and families will be randomised 1:1 to intervention or delayed intervention groups. Data will be collected at baseline, and in the fall and spring for 3 years.
Participants Low‐income families with at least 1 child aged 2‐12 years. Target is 240 families (120 per arm)
Interventions The intervention will involve reduced‐price community supported agriculture shares, which can be paid for on a weekly basis, 9 skill‐based and seasonally tailored healthy eating classes, and the provision of basic kitchen tools.
Outcomes Children’s intake of fruits and vegetables
Starting date Unknown
Contact information rs946@cornell.edu
Notes NCT02770196

Sobko 2016.

Study name Play and grow
Methods RCT
Participants Approximately 240 families with children aged 2‐4 years
Interventions Intervention: “Play & Grow is a 10‐week family‐based, multi‐component healthy lifestyle programme”
"The Play & Grow will have educational strategies including instructions, parental peer support and group discussions, and homework tasks, in accordance with the elements developed in our Play & Grow pilot study. Each session will comprise: (i) 15 min of guided active play involving both children and parents; (ii) 15 min of interactive education and skill development for parents; simultaneous supervised active play with foods for children, to promote acceptance of vegetables, and (iii) 15 min of guided active nature games outdoors, involving both children and parents. The sessions will incorporate a lifestyle component, for example: eating, active play and connectedness to nature). These will target the parents’ knowledge and skills on how to introduce and maintain their child’s correct lifestyle routines. A group leader and co‐leader with healthcare backgrounds (and trained by the PI during the Play & Grow pilot study) will facilitate the sessions involving 4 to 5 parent‐child dyads. The proposed intervention, we will employ environmental education and nature‐related activities to help participating families develop skills conducive to improving playtime and eating habits in children."
Control: “The (waiting list or control group) WLCG children will be offered the Play & Grow programme at study completion”
Outcomes Child fruit and vegetable intake will be assessed using the Eating and Physical Activity Questionnaire (EPAQ) and The Children’s Eating Behaviour Questionnaire (CEBQ)
Starting date Unknown
Contact information Tanja Sobko: tsobko@hku.hk
Notes  

UMIN000033818.

Study name A pilot study for effects of vegetable juice on children's preference and amount of consumption for vegetables
Methods The aim of the current study is to obtain exploratory pilot data about whether children's preference and amount of consumption for vegetables are increased by repetitive intake of vegetable‐juice.
Design: Randomised, cluster trial (no treatment control group)
Participants N = 40, healthy children without any food allergy, aged 3‐8 years, both male and female
Interventions Intervention: with intake of vegetable juice
Outcomes Primary outcome: amount of vegetable consumption and preference of vegetables in children aged 3‐8 years are investigated before/after a 4‐week period of repetitive intake of vegetable juice.
Starting date Anticipated start date 20 August 2018
Contact information shirai@human.niigata‐u.ac.jp
Notes UMIN000033818

Van der Veek 2019.

Study name Baby’s first bites: a randomized controlled trial to assess the effects of vegetable exposure and sensitive feeding on vegetable acceptance, eating behavior and weight gain in infants and toddlers
Methods 4‐armed RCT
Participants 240 first‐time mothers of healthy, term infants
Interventions Intervention A: this intervention repeatedly exposed infants and toddlers to vegetables and involved 2 days of pre‐test, a 15‐day feeding schedule and 2 days of post‐test. During 15 consecutive days, children are exposed to 1 of 2 target vegetables according to a set scheme where 1 target vegetable is offered to the infant every other day. On the days in between, infants receive other vegetables for variety. During the feeding schedule on days 5 and 12, mothers will receive a phone call to motivate them to continue exposing their infant to vegetables. When the children are 8, 13 and 16 months of age, mothers will receive a booster phone call to reinforce daily vegetable intake.
Mothers are asked to keep serving their infant vegetables on a daily basis and receive a folder that emphasises the importance of repeated exposure to vegetables. Mothers also receive 20 vegetable purées a month, until 5 months after the feeding schedule to reinforce exposure to vegetables.
Intervention B: receives an intervention on how to feed their infant, in addition to a 15‐day feeding schedule consisting of mostly fruit. The intervention mothers receive purely focuses on the promotion of responsive feeding practices. The intervention mothers will receive the Video‐feedback Intervention to promote Positive Parenting ‐Feeding Infants (VIPP‐FI) and will be delivered during home visits. VIPP‐FI focuses on improving responsive feeding and sensitive ways of dealing with unwilling infants during the feeding process. Mothers are shown videotapes of their own feeding‐interaction with their infant, and receive feedback on these tapes by a trained intervener.
Intervention C: will receive a combination of Intervention A and Intervention B. Mothers will be asked to feed the infant according to the schedule for the vegetable‐exposure intervention and will also receive feedback on how they should go about feeding their infant according to the VIPP‐FI intervention
Attention‐Control Condition D: receive the same feeding schedule as Intervention B and receive phone calls at the same time‐points as the intervention groups in which they will not receive any specific advice, but will be asked about topics such as the general development of the child. If mothers have questions about weaning or feeding, they are referred to “Het Voedingscentrum” or their infant welfare centre
Outcomes Primary outcomes are vegetable consumption, vegetable liking and self‐regulation of energy intake. Secondary outcomes are child eating behaviours, child anthropometrics and maternal feeding behaviour
Starting date The trial started in April 2016
Contact information gerry.jager@wur.nl
Notes NTR6572 and NCT03348176

Watt 2014.

Study name Choosing healthy eating when really young (CHERRY)
Methods RCT
Participants Approximately 288 parents of children aged 18 months‐5 years from children's centres
Interventions Intervention: “The intervention group participants attended four sessions (one each week) over 4 weeks. Each session lasted 2 h. The first hour of each session involved parents discussing and learning about a variety of aspects of healthy eating while the children attended a free crèche in the adjacent room (the crèche activities were not considered part of CHERRY and were not monitored). The second hour involved parents. and children together for a more practical, ‘hands on’ cook and eat session involving basic food preparation and tasting. Each session began with a recap from the previous week and finished with parents being given a ‘CHERRY at home’ activity to complete before the following week’s session; these were both designed to consolidate parents’ learning.
The intervention group also received SMS reminders via mobile phones between sessions; SMSs included the main messages of the CHERRY programme, as well as reminders to attend each session. The intervention comprised not only individually focused nutrition support, but also encompassed activities directed at developing the capacity of the children’s centre to promote and maintain healthy nutritional practices.
In the intervention centres, a staff training session was offered to all staff working in the centres. The training session covered various aspects of healthy eating and nutrition for early years and included an introduction and overview of the CHERRY programme. Each training session was tailored to the needs of the staff, as identified by heads of each intervention centre. Intervention centres were also given support and advice to revise and develop their centre’s food policies in order to support healthy eating practices and procedures.”
Control: “The children’s centres randomised to the control group did not receive any of the components of the CHERRY programme. During the study period, the control centres agreed not to implement any new nutritional interventions but continued with existing support. On final completion of the study, the CHERRY resources were disseminated to control centres and other early years settings interested in nutrition.”
Outcomes "Child’s fruit and vegetable consumption at home (portions per day). This was defined as the total weight (grams) of fruit and vegetables consumed the number of different types of fruit and vegetables consumed, and the actual types of fruit and vegetables consumed. The child’s diet was assessed using the multiple‐pass 24‐h recall method. As the children concerned were under 5 years of age, the parents completed the interviews on their behalf.”
Starting date Parents were recruited into the study over 5 recruitment waves between September 2010 and November 2011
Contact information Richard Geddie Watt: r.watt@ucl.ac.uk
Notes  

Østbye 2015.

Study name Keys to healthy family child care homes (KEYS)
Methods C‐RCT
Participants Approximately 450 children aged 18 months‐4 years from 150 Family Child Care Homes
Interventions Intervention: “The Keys intervention is delivered over nine months, spending approximately three months on each of three modules. These modules are designed to help providers (1). Modify their own weight‐related behaviours so that they can become role models for children (Module 1: Healthy You), (2) create environments that encourage and support children’s physical activity and healthy eating habits (Module 2: Healthy Home), and (3) adopt sound business practices that will help them sustain the changes introduced (Module 3: Healthy Business).
"The intervention is delivered through workshops, home visits, tailored coaching calls, and educational toolkits."
Control: “Participants in the control arm receive the Healthy Business" only
Outcomes Child intake collected using direct observation at the Family Child Care Homes
Starting date Unknown
Contact information Courtney Mann: courtney.mann@dm.duke.edu
Notes  

BMI: body mass index; C‐RCT: cluster‐randomised controlled trial; LGA: Local Government Area; RCT: randomised controlled trial

Differences between protocol and review

  1. Consistent with the original review (Wolfenden 2012), we excluded trials if fruit or vegetable intake was not the primary trial outcome, to avoid potential confounding effects of other interventions and reduce the risk of publication bias and selective outcome reporting which is more predominate among secondary trial outcomes (or outcomes that were not otherwise stated). This included trials where fruit and vegetable outcomes were assessed within broader targeted interventions. The protocol stated that trials listing fruit and vegetable intake as a secondary trial outcome would also be included. We included trials that did not state a primary outcome, but did report intake of fruit or vegetables or both. We conducted sensitivity analyses to explore the impact on the overall assessment of treatment effects, excluding trials that did not state a primary outcome of children's fruit and vegetable consumption.

  2. Consistent with the original review (Wolfenden 2012), we amended classification of intervention effects as 'short‐term' from 'three to less than 12 months' in the protocol to 'less than 12 months' in the review.

  3. Consistent with the original review (Wolfenden 2012), we did not contact professional associations as part of the review search strategy, nor did we search the National Institute of Health Randomized Trial Records Database.

  4. Consistent with the original review (Wolfenden 2012), we amended the title and text throughout the review to ensure consistent terminology for the description of age. Specifically, we replaced the age description of children as 'preschool' with a more precise description of 'children aged five years and under', to more accurately reflect the scope of the review. We refer only to preschools when discussing the findings of trials conducted in that setting.

  5. Consistent with the original review (Wolfenden 2012), as some trials included children across a range of ages, we included any trial where the mean age of the sample at baseline was five years or under.

  6. For the review update, while two independent review authors extracted data from each trial, the extraction was undertaken by pairs of review authors.

  7. For the review update, we assessed risks of bias on published trial information, and we did not contact authors of included trials to clarify any aspects.

  8. For the review update, we did not conduct planned subgroup analyses by interventions of varying intensities, due to insufficient information being reported across the included trials about the number and duration of intervention contacts or components.

  9. For the review update, pairs of review authors independently screened articles against all prespecified eligibility criteria and assessed risks of bias. We did not adopt the sequential method of screening used in the original review (that is by order: participants, outcome, comparator, intervention, trial type) in the review update.

  10. Whilst not explicitly excluded from the original review, for the review update we specifically considered cross‐over trials to be an eligible trial design. This was due to the many trials that adopt this design to investigate the effectiveness of interventions to increase the fruit and vegetable consumption of children aged five years and under, and the review authors deeming the trial design to be appropriate in this context.

  11. This update includes some new methods relevant for living systematic reviews, which are included in the Methods and also described in Appendix 3.

  12. We did not adopt the planned use of the 'Related citation' feature in PubMed to identify additional articles as a component of the living systematic review methods for the current version of the review.

  13. The machine learning classifier (RCT model) (Wallace 2017), available in the Cochrane Register of Studies (CRS‐Web) (Cochrane 2017a), and Cochrane Crowd (Cochrane 2017b) were not used between May 2018 and August 2019.

  14. We did not screen relevant systematic reviews for the review updates.

  15. For the review update, we undertook an additional subgroup analysis where possible to examine any differential impact of interventions on the basis of the age group of children targeted (< 12 months versus ≥ 12 months of age).

Contributions of authors

All review authors contributed to the conception of the research and were involved in the preparation of the review, including providing critical comment on drafts.
RH led the review update and manuscript drafting.
RH and KO conducted searches of other sources.
RH and KO screened titles and abstracts.
RH and KO screened full texts to determine trial eligibility.
KO and RW extracted data from eligible trials.
KO and FT assessed risk of bias.
RH, KO and LW assessed quality of trials (GRADE).

All review authors reviewed and approved the final manuscript.

Sources of support

Internal sources

  • Hunter Medical Research Institute, Australia

    Infrastructure support

  • The University of Newcastle, Australia

    Salary Support

  • Deakin University, Australia

    Salary Support

  • Hunter New England Area Health Service, Australia

    Salary Support

  • Cancer Council NSW, Australia

    Salary Support

  • Cancer Institute NSW, Australia

    Salary support

External sources

  • No sources of support provided

Declarations of interest

Rebecca K Hodder: none known

Kate M O'Brien: none known

Flora Tzelepis: none known

Rebecca J Wyse: is an author on an included randomised trial of an intervention to increase fruit and vegetable consumption (Wyse 2012); she was not involved in the determination of trial eligibility, data extraction or 'Risk of bias' assessment for Wyse 2012. Otherwise, the author declares no known conflicts of interest. She has not received any benefit, in cash or kind, any hospitality, or any subsidy derived from the food industry or any other source perceived to have an interest in the outcome of the review.

Luke Wolfenden: is an author on an included randomised trial of an intervention to increase fruit and vegetable consumption (Wyse 2012); he was not involved in the determination of trial eligibility, data extraction or 'Risk of bias' assessment for Wyse 2012. Otherwise, the author declares no known conflicts of interest. He has not received any benefit, in cash or kind, any hospitality, or any subsidy derived from the food industry or any other source perceived to have an interest in the outcome of the review.

Edited (no change to conclusions)

References

References to studies included in this review

Ahern 2019 {published data only}

  1. Ahern SM, Caton SJ, Blundell-Birtill P, Hetherington MM. The effects of repeated exposure and variety on vegetable intake in pre-school children. Appetite 2019;132:37-43. [DOI] [PubMed] [Google Scholar]

Anzman‐Frasca 2012 {published data only}

  1. Anzman-Frasca S, Savage JS, Marini ME, Fisher JO, Birch LL. Repeated exposure and associative conditioning promote preschool children's liking of vegetables. Appetite 2012;58(2):543-53. [DOI] [PubMed] [Google Scholar]
  2. Savage JS, Paul IM, Marini ME, Birch LL. Pilot intervention promoting responsive feeding, the division of feeding responsibility, and healthy dietary choices during infancy. Appetite 2010;54(3):673. [Google Scholar]

Bakırcı‐Taylor 2019 {published data only}

  1. Bakırcı-Taylor AL, McCool B, Reed DB, Dawson JA. mHealth improved fruit and vegetable accessibility and intake in young children. Journal of Nutrition Education and Behavior 2019;51(5):556-66. [DOI] [PubMed] [Google Scholar]

Barends 2013 {published data only}

  1. Barends C, De Vries J, Mojet J, De Graaf C. Effects of repeated exposure to either vegetables or fruits on infant's vegetable and fruit acceptance at the beginning of weaning. Food Quality and Preference 2013;29:157-65. [Google Scholar]
  2. Barends C, De Vries J H, Mojet J, De Graaf C. Effects of starting weaning exclusively with vegetables on vegetable intake at the age of 12 and 23 months. Appetite 2014;81:193-9. [DOI] [PubMed] [Google Scholar]
  3. Barends C, Mojet J, De Vries J, De Graaf K. Effects of repeated exposure to either fruits or vegetables during the first 18 days of weaning on infant's fruit and vegetable acceptance. Appetite 2011;57(2):553. [Google Scholar]

Baskale 2011 {published data only (unpublished sought but not used)}

  1. Baskale H, Bahar Z. Outcomes of nutrition knowledge and healthy food choices in 5- to 6-year-old children who received a nutrition intervention based on Piaget's theory. Journal for Specialists in Pediatric Nursing: JSPN 2011;16(4):263-79. [DOI] [PubMed] [Google Scholar]

Black 2011 {published data only}

  1. Black MM, Hurley K, Wang Y, Candelaria M, Latta L, Caulfield L, et al. Toddler obesity prevention study (TOPS) increases toddler health-promoting behaviors. FASEB Journal 2013;27(1 Suppl):37.4. [Google Scholar]
  2. Black MM, Hurley KM, Hager ER, Wang Y, Latta LW, Candelaria M, et al. Toddler obesity prevention: effects of parenting and maternal lifestyles interventions. Obesity 2011;19:S109. [Google Scholar]

Blissett 2016 {published data only}

  1. Blissett J, Bennett C, Fogel A, Harris G, Higgs S. Parental modelling and prompting effects on acceptance of a novel fruit in 2-4-year-old children are dependent on children's food responsiveness. British Journal of Nutrition 2016;115(3):554-64. [DOI] [PubMed] [Google Scholar]

Campbell 2013 {published data only}

  1. Cameron AJ, Ball K, Hesketh KD, McNaughton SA, Salmon J, Crawford DA, et al. Variation in outcomes of the Melbourne Infant, Feeding, Activity and Nutrition Trial (InFANT) Program according to maternal education and age. Preventive Medicine 2014;58:58-63. [DOI] [PubMed] [Google Scholar]
  2. Campbell K, Hesketh K, Crawford D, Salmon J, Ball K, McCallum Z. The Infant Feeding Activity and Nutrition Trial (INFANT) an early intervention to prevent childhood obesity: cluster-randomised controlled trial. BMC Public Health 2008;8:103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Campbell KJ, Lioret S, McNaughton SA, Crawford DA, Salmon J, Ball K, et al. A parent-focused intervention to reduce infant obesity risk behaviors: a randomized trial. Pediatrics 2013;131(4):652-60. [DOI] [PubMed] [Google Scholar]
  4. Hesketh KD, Campbell K, Salmon J, McNaughton SA, McCallum Z, Cameron A, et al. The Melbourne Infant Feeding, Activity and Nutrition Trial (InFANT) Program follow-up. Contemporary Clinical Trials 2013;34(1):145-51. [DOI] [PubMed] [Google Scholar]
  5. Lioret S, Cameron AJ, McNaughton SA, Crawford D, Spence AC, Hesketh K, et al. Association between maternal education and diet of children at 9 months is partially explained by mothers' diet. Maternal & Child Nutrition 2015;11(4):936-47. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Lioret S, Campbell K, McNaughton S, Crawford D, Salmon J, Ball K, et al. Parent focused intervention impacts obesity risk behaviours in infants: results of the Melbourne infant program cluster-randomised controlled trial. Obesity Facts 2012;5:33. [Google Scholar]
  7. Lioret S, Campbell KJ, Crawford D, Spence AC, Hesketh K, McNaughton SA. A parent focused child obesity prevention intervention improves some mother obesity risk behaviors: the Melbourne inFANT program. International Journal of Behavioral Nutrition and Physical Activity 2012;9:100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Spence AC, Campbell KJ, Crawford DA, McNaughton SA, Hesketh KD. Mediators of improved child diet quality following a health promotion intervention: The Melbourne inFANT Program. International Journal of Behavioral Nutrition and Physical Activity 2014;11:137. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Spence AC, Campbell KJ, Lioret S, McNaughton SA. Early childhood vegetable, fruit, and discretionary food intakes do not meet dietary guidelines, but do show socioeconomic differences and tracking over time. Journal of the Academy of Nutrition & Dietetics 2018;23:23. [DOI] [PubMed] [Google Scholar]
  10. Spence AC, McNaughton SA, Lioret S, Hesketh KD, Crawford DA, Campbell KJ, et al. A health promotion intervention can affect diet quality in early childhood. Journal of Nutrition 2013;143(10):1672-8. [DOI] [PubMed] [Google Scholar]
  11. Walsh AD, Lioret S, Cameron AJ, Hesketh KD, McNaughton SA, Crawford D, et al. The effect of an early childhood obesity intervention on father's obesity risk behaviors: the Melbourne InFANT Program. International Journal of Behavioral Nutrition & Physical Activity 2014;11:18. [DOI] [PMC free article] [PubMed] [Google Scholar]

Carney 2018 {published data only}

  1. Carney E. Children's response to flavor variety In herb and spice seasoned vegetables served within a meal [Masters Thesis]. Pennsylvania: Pennsylvania State University, 2017. [Google Scholar]
  2. Carney EM, Stein WM, Reigh NA, Gater FM, Bakke AJ, Hayes JE, et al. Increasing flavor variety with herbs and spices improves relative vegetable intake in children who are propylthiouracil (PROP) tasters relative to nontasters. Physiology and Behavior 2018;188:48-57. [DOI] [PubMed] [Google Scholar]

Caton 2013 {published data only}

  1. Caton SJ, Ahern SM, Remy E, Nicklaus S, Blundell P, Hetherington MM. Repetition counts: repeated exposure increases intake of a novel vegetable in UK pre-school children compared to flavour-flavour and flavour-nutrient learning. British Journal of Nutrition 2013;109(11):2089-97. [DOI] [PubMed] [Google Scholar]

Cohen 1995 {published data only}

  1. Cohen RJ, Rivera LL, Canahuati J, Brown KH, Dewey KG. Delaying the introduction of complementary food until 6 months does not affect appetite or mother's report of food acceptance of breast-fed infants from 6 to 12 months in a low income, Honduran population. Journal of Nutrition 1995;125(11):2787-92. [DOI] [PubMed] [Google Scholar]

Cooke 2011 {published data only}

  1. Cooke LJ, Chambers LC, Anez EV, Croker HA, Boniface D, Yeomans MR, et al. Eating for pleasure or profit: the effect of incentives on children's enjoyment of vegetables. Psychological Science 2011;22(2):190-6. [DOI] [PMC free article] [PubMed] [Google Scholar]

Correia 2014 {published data only}

  1. Correia DC, O'Connell M, Irwin ML, Henderson KE. Pairing vegetables with a liked food and visually appealing presentation: promising strategies for increasing vegetable consumption among preschoolers. Childhood Obesity 2014;10(1):72-6. [DOI] [PubMed] [Google Scholar]

Coulthard 2014 {published data only}

  1. Coulthard H, Harris G, Fogel A. Exposure to vegetable variety in infants weaned at different ages. Appetite 2014;78:89-94. [DOI] [PubMed] [Google Scholar]

Cravener 2015 {published data only}

  1. Cravener TL, Schlechter H, Loeb KL, Radnitz C, Schwartz M, Zucker N, et al. Feeding strategies derived from behavioral economics and psychology can increase vegetable intake in children as part of a home-based intervention: results of a pilot study. Journal of the Academy of Nutrition and Dietetics 2015;115(11):1798-807. [DOI] [PubMed]

Daniels 2014 {published data only}

  1. Byrne R, Yeo MEJ, Mallan K, Magarey A, Daniels L. Is higher formula intake and limited dietary diversity in Australian children at 14 months of age associated with dietary quality at 24 months? Appetite 2018;120:240-5. [DOI] [PubMed] [Google Scholar]
  2. Daniels L, Mallan K, Nicholson J, Meedeniya J, Magarey A. Child behaviour and weight outcomes of NOURISH RCT. Obesity Facts 2013;6:16. [Google Scholar]
  3. Daniels L, Mallan K, Nicholson J, Thorpe K, Magarey A. Longer term child growth and maternal feeding practices outcomes of the NOURISH obesity prevention trial. Obesity Facts 2014;7:39. [Google Scholar]
  4. Daniels LA, Magarey A, Battistutta D, Nicholson JM, Farrell A, Davidson G, et al. The NOURISH randomised control trial: positive feeding practices and food preferences in early childhood - a primary prevention program for childhood obesity. BMC Public Health 2009;9:387. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Daniels LA, Magarey AM, Nicholson JM. The NOURISH early feeding trial: an innovative approach to child obesity prevention. Obesity Research and Clinical Practice 2011;5:S5. [Google Scholar]
  6. Daniels LA, Mallan KM, Battistutta D, Nicholson JM, Meedeniya JE, Bayer JK, et al. Child eating behavior outcomes of an early feeding intervention to reduce risk indicators for child obesity: the NOURISH RCT. Obesity (Silver Spring, Md.) 2014;22(5):E104-11. [DOI] [PubMed] [Google Scholar]
  7. Daniels LA, Mallan KM, Battistutta D, Nicholson JM, Perry R, Magarey A. Evaluation of an intervention to promote protective infant feeding practices to prevent childhood obesity: outcomes of the NOURISH RCT at 14 months of age and 6 months post the first of two intervention modules. International Journal of Obesity 2012;36(10):1292-8. [DOI] [PubMed]
  8. Daniels LA, Mallan KM, Nicholson JM, Battistutta D, Magarey A. Outcomes of an early feeding practices intervention to prevent childhood obesity. Pediatrics 2013;132(1):e109-18. [DOI] [PubMed] [Google Scholar]
  9. Daniels LA, Mallan KM, Nicholson JM, Thorpe K, Nambiar S, Mauch CE, et al. An early feeding practices intervention for obesity prevention. Pediatrics 2015;136(1):e40-9. [DOI] [PubMed]
  10. Daniels LA, Wilson JL, Mallan KM, Mihrshahi S, Perry R, Nicholson JM, et al. Recruiting and engaging new mothers in nutrition research studies: lessons from the Australian NOURISH randomised controlled trial. International Journal of Behavioral Nutrition and Physical Activity 2012;9:129. [DOI] [PMC free article] [PubMed]
  11. Daniels LA. Complementary feeding in an obesogenic environment: behavioral and dietary quality outcomes and interventions. Nestle Nutrition Institute Workshop Series 2017;87:167-81. [DOI] [PubMed] [Google Scholar]
  12. Magarey A, Mauch C, Mallan K, Perry R, Elovaris R, Meedeniya J, et al. Child dietary and eating behavior outcomes up to 3.5 years after an early feeding intervention: the NOURISH RCT. Obesity 2016;24(7):1537-45. [DOI] [PubMed] [Google Scholar]
  13. Mallan KM, Daniels LA, Nicholson JM. Obesogenic eating behaviors mediate the relationships between psychological problems and BMI in children. Obesity 2017;25(5):928-34. [DOI] [PMC free article] [PubMed]

De Bock 2012 {published data only}

  1. De Bock F, Breitenstein L, Fischer JE. Positive impact of a pre-school-based nutritional intervention on children's fruit and vegetable intake: results of a cluster-randomized trial. Public Health Nutrition 2012;15(3):466-75. [DOI] [PubMed] [Google Scholar]
  2. De Bock F, Fischer JE, Hoffmann K, Renz-Polster H. A participatory parent-focused intervention promoting physical activity in preschools: design of a cluster-randomized trial. BMC Public Health 2010;10:49. [DOI] [PMC free article] [PubMed] [Google Scholar]

De Coen 2012 {published data only}

  1. De Coen V, De Bourdeaudhuij I, Vereecken C, Verbestel V, Haerens L, Huybrechts I, et al. Effects of a 2-year healthy eating and physical activity intervention for 3-6-year-olds in communities of high and low socio-economic status: the POP (Prevention of Overweight among Pre-school and school children) project. Public Health and Nutrition 2012;15(9):1737-45. [DOI] [PubMed] [Google Scholar]

de Droog 2014 {published data only}

  1. De Droog SM, Buijzen M, Valkenburg PM. Enhancing children's vegetable consumption using vegetable-promoting picture books. The impact of interactive shared reading and character-product congruence. Appetite 2014;73:73-80. [DOI] [PubMed] [Google Scholar]
  2. De Droog SM. Using picture books to stimulate the appeal of healthy food products among pre-schoolers. Appetite 2012;59(2):624. [Google Scholar]

de Droog 2017 {published data only}

  1. De Droog SM, Van Nee R, Govers M, Buijzen M. Promoting toddlers' vegetable consumption through interactive reading and puppetry. Appetite 2017;116:75-81. [DOI] [PubMed] [Google Scholar]

de Wild 2013 {published data only}

  1. De Wild VW, De Graaf C, Jager G. Effectiveness of flavour nutrient learning and mere exposure as mechanisms to increase toddler’s intake and preference for green vegetables. Appetite 2013;64:89-96. [DOI] [PubMed] [Google Scholar]

de Wild 2015a {published data only}

  1. De Wild VW, De Graaf C, Boshuizen HC, Jager G. Influence of choice on vegetable intake in children: an in-home study. Appetite 2015;91:1-6. [DOI] [PubMed] [Google Scholar]

de Wild 2015b {published data only}

  1. De Wild V, De Graaf C, Jager G. Efficacy of repeated exposure and flavour–flavour learning as mechanisms to increase preschooler's vegetable intake and acceptance. Pediatric Obesity 2015;10(3):205-12. [DOI] [PubMed] [Google Scholar]

de Wild 2017 {published data only}

  1. De Wild VWT, De Graaf C, Jager G. Use of different vegetable products to increase preschool-aged children's preference for and intake of a target vegetable: a randomized controlled trial. Journal of the Academy of Nutrition and Dietetics 2017;117(6):859-66. [DOI] [PubMed] [Google Scholar]

Duncanson 2013 {published and unpublished data}

  1. Duncanson K, Burrows T, Collins C. Effect of a low-intensity parent-focused nutrition intervention on dietary intake of 2- to 5-year olds. Journal of Pediatric Gastroenterology and Nutrition 2013;57(6):728-34. [DOI] [PubMed] [Google Scholar]
  2. Duncanson K, Burrows T, Collins C. Study protocol of a parent-focused child feeding and dietary intake intervention: the feeding healthy food to kids randomised controlled trial. BMC Public Health 2012;12:564. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Duncanson K, Burrows T, Collins C. Twelve month outcomes of the Feeding Healthy Food to Kids Randomised Controlled Trial. Journal of the American Dietetic Association 2011;111(9 Supplement):A105. [Google Scholar]
  4. Duncanson K, Burrows T, Holman B, Collins C. Parents' perceptions of child feeding: a qualitative study based on the theory of planned behavior. Journal of Developmental and Behavioral Pediatrics 2013;34(4):227-36. [DOI] [PubMed] [Google Scholar]
  5. Duncanson K, Lee YQ, Burrows T, Collins C. Utility of a brief index to measure diet quality of Australian preschoolers in the Feeding Healthy Food to Kids Randomised Controlled Trial. Nutrition & Dietetics 2017;74(2):158-66. [DOI] [PubMed]

Farrow 2019 {published data only}

  1. Farrow C, Belcher E, Coulthard H, Thomas JM, Lumsden J, Hakobyan L, et al. Using repeated visual exposure, rewards and modelling in a mobile application to increase vegetable acceptance in children. Appetite 2019;141:6. [DOI] [PubMed] [Google Scholar]

Fildes 2014 {published data only}

  1. Fildes A, Van Jaarsveld CH, Wardle J, Cooke L. Parent-administered exposure to increase children's vegetable acceptance: a randomized controlled trial. Journal of the Academy of Nutrition and Dietetics 2014;114:881-8. [DOI] [PMC free article] [PubMed] [Google Scholar]

Fildes 2015 {published data only}

  1. Fildes A, Lopes C, Moreira P, Moschonis G, Oliveira A, Mavrogianniet C, et al. An exploratory trial of parental advice for increasing vegetable acceptance in infancy. British Journal of Nutrition 2015;114(2):328-36. [DOI] [PubMed] [Google Scholar]

Fisher 2012 {published data only}

  1. Fisher JO, Mennella JA, Hughes SO, Liu Y, Mendoza PM, Patrick H. Offering "dip" promotes intake of a moderately-liked raw vegetable among preschoolers with genetic sensitivity to bitterness. Journal of the Academy of Nutrition and Dietetics 2012;112(2):235-45. [DOI] [PubMed] [Google Scholar]

Forestell 2007 {published data only}

  1. Forestell CA, Mennella JA. Early determinants of fruit and vegetable acceptance. Pediatrics 2007;120(6):1247-54. [DOI] [PMC free article] [PubMed] [Google Scholar]

Gerrish 2001 {published data only}

  1. Gerrish CJ, Mennella JA. Flavor variety enhances food acceptance in formula-fed infants. American Journal of Clinical Nutrition 2001;73(6):1080-5. [DOI] [PubMed] [Google Scholar]

Haire‐Joshu 2008 {published data only}

  1. Haire-Joshu D, Elliott MB, Caito NM, Hessler K, Nanney MS, Hale N, et al. High 5 for Kids: the impact of a home visiting program on fruit and vegetable intake of parents and their preschool children. Preventive Medicine 2008;47(1):77-82. [DOI] [PMC free article] [PubMed] [Google Scholar]

Harnack 2012 {published data only}

  1. Harnack LJ, Oakes JM, French SA, Rydell SA, Farah FM, Taylor GL. Results from an experimental trial at a Head Start center to evaluate two meal service approaches to increase fruit and vegetable intake of preschool aged children. International Journal of Behavioural Nutrition and Physical Activity 2012;9:51. [DOI] [PMC free article] [PubMed]

Hausner 2012 {published data only}

  1. Hausner H, Olsen A, Moller P. Mere exposure and flavour-flavour learning increase 2-3 year-old children's acceptance of a novel vegetable. Appetite 2012;58(3):1152-9. [DOI] [PubMed] [Google Scholar]

Heath 2014 {published data only}

  1. Heath P, Houston-Price C, Kennedy OB. Let's look at leeks! Picture books increase toddlers' willingness to look at, taste and consume unfamiliar vegetables. Frontiers in Psychology 2014;5:191. [DOI] [PMC free article] [PubMed] [Google Scholar]

Hetherington 2015 {published data only}

  1. Hetherington MM, Schwartz C, Madrelle J, Croden F, Nekitsing C, Vereijken CM, et al. A step-by-step introduction to vegetables at the beginning of complementary feeding. The effects of early and repeated exposure. Appetite 2015;84:280-90. [DOI] [PubMed] [Google Scholar]

Hong 2018a {published data only}

  1. Hong PY, Hanson MD, Lishner DA, Kelso SL, Steinert SW. A field experiment examining mindfulness on eating enjoyment and behavior in children. Mindfulness 2018;9(6):1748-56. [Google Scholar]

Hong 2018b {published data only}

  1. Hong J, Bales DW, Wallinga CR. Using family backpacks as a tool to involve families in teaching young children about healthy eating. Early Childhood Education Journal 2018;46(2):209-21. [Google Scholar]

Hunsaker 2017 {published data only}

  1. Hunsaker SL, Jensen CD. Effectiveness of a parent health report in increasing fruit and vegetable consumption among preschoolers and kindergarteners. Journal of Nutrition Education and Behavior 2017;49(5):380-6. [DOI] [PubMed] [Google Scholar]

Keller 2012 {published and unpublished data}

  1. Keller K, Forman J, Lee NM, Kuilema LG, Haldford JC. Use of license spokes-characters to increase intake of fruits and vegetables as part of a childhood obesity prevention program: pilot study results. Obesity 2011;19:S109. [Google Scholar]
  2. Keller KL, Kuilema LG, Lee N, Yoon J, Mascaro B, Combes AL, et al. The impact of food branding on children's eating behavior and obesity. Physiology and Behavior 2012;106(3):379-86. [DOI] [PubMed] [Google Scholar]

Kim 2018 {published data only}

  1. Kim SY, Chung KM, Jung S. Effects of repeated food exposure on increasing vegetable consumption in preschool children with autism spectrum disorder. Research in Autism Spectrum Disorders 2018;47:26-35. [Google Scholar]

Kling 2016 {published data only}

  1. Kling SM, Roe LS, Keller KL, Rolls BJ. Double trouble: portion size and energy density combine to increase preschool children's lunch intake. Physiology and Behavior 2016;162:18-26. [DOI] [PMC free article] [PubMed] [Google Scholar]

Kobel 2019 {published data only}

  1. Kobel S, Wartha O, Lammle C, Dreyhaupt J, Steinacker JM. Intervention effects of a kindergarten-based health promotion programme on obesity related behavioural outcomes and BMI percentiles. Preventive Medicine Reports 2019;15(100931):No pagination. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Kobel S, Wartha O, Wirt T, Dreyhaupt J, Lammle C, Friedemann EM, et al. Design, implementation, and study protocol of a kindergarten-based health promotion intervention. Biomed Research International 2017;2017:4347675. [DOI] [PMC free article] [PubMed] [Google Scholar]

Kristiansen 2019 {published data only}

  1. Kristiansen AL, Bjelland M, Himberg-Sundet A, Lien N, Holst R, Frost Andersen L. Effects of a cluster randomized controlled kindergarten-based intervention trial on vegetable consumption among Norwegian 3-5-year-olds: the BRA-study. BMC Public Health 2019;19(1):1098. [DOI] [PMC free article] [PubMed] [Google Scholar]

Lanigan 2017 {published data only}

  1. Anonymous. Repeated exposure to food makes children adopt healthy eating habit: study. Asian News International 2019.
  2. Lanigan J, Bailey R, Jackson AM, Shea V. Child-centered nutrition phrases plus repeated exposure increase preschoolers' consumption of healthful foods, but not liking or willingness to try. Journal of Nutrition Education and Behavior 2019;51(5):519-27. [DOI] [PubMed] [Google Scholar]
  3. Lanigan J, Bailey R, Ramsay S, Jarvensivu V. Child centered nutrition phrases: messaging increases young children's consumption of healthful foods. Journal of Nutrition Education and Behavior 2017;49(7):S49. [DOI] [PubMed] [Google Scholar]

Lee 2015 {published data only}

  1. Lee CK, Chung KM. Effect of an exposure program to vegetables to increase young children's vegetable consumption. Korean Journal of Health Psychology 2015;20(2):425-44. [Google Scholar]

Martinez‐Andrade 2014 {published data only}

  1. Martinez-Andrade GO, Cespedes EM, Rifas-Shiman SL, Romero-Quechol G, Gonzalez-Unzaga MA, Benitez-Trejo MA, et al. Feasibility and impact of Creciendo Sanos, a clinic-based pilot intervention to prevent obesity among preschool children in Mexico City. BMC Pediatrics 2014;14:77. [DOI] [PMC free article] [PubMed] [Google Scholar]

Mennella 2008 {published data only}

  1. Mennella JA, Nicklaus S, Jagolino AL, Yourshaw LM. Variety is the spice of life: strategies for promoting fruit and vegetable acceptance during infancy. Physiology and Behavior 2008;94(1):29-38. [DOI] [PMC free article] [PubMed] [Google Scholar]

Namenek Brouwer 2013 {published data only}

  1. Namenek Brouwer RJ, Benjamin Neelon SE. Watch me grow: a garden-based pilot intervention to increase vegetable and fruit intake in preschoolers. BMC Public Health 2013;13:363. [DOI] [PMC free article] [PubMed] [Google Scholar]

Natale 2014a {published data only}

  1. Natale RA, Lopez-Mitnik G, Uhlhorn SB, Asfour L, Messiah SE. Effect of a child care center-based obesity prevention program on body mass index and nutrition practices among preschool-aged children. Health Promotion Practice 2014;15(5):695-705. [DOI] [PubMed] [Google Scholar]

Nekitsing 2019a {published data only (unpublished sought but not used)}

  1. Nekitsing C, Blundell-Birtill P, Cockroft J, Hetherington MM. Effects of congruent and incongruent experiential learning on intake of a novel vegetable in preschool children: a cluster randomized trial. Appetite 2018;130:311. [Google Scholar]
  2. Nekitsing C, Blundell-Birtill P, Cockroft JE, Fildes A, Hetherington MM. Increasing intake of an unfamiliar vegetable in preschool children through learning using storybooks and sensory play: a cluster randomized trial. Journal of the Academy of Nutrition and Dietetics 2019;119(12):2014-2027. [DOI] [PubMed] [Google Scholar]

Nekitsing 2019b {published data only}

  1. Nekitsing C, Blundell-Birtill P, Cockroft JE, Hetherington MM. Taste exposure increases intake and nutrition education increases willingness to try an unfamiliar vegetable in preschool children: a cluster randomized trial. Journal of the Academy of Nutrition and Dietetics 2019;119(12):2004-2013. [DOI] [PubMed] [Google Scholar]

Nicklas 2017 {published data only}

  1. Nicklas T, Lopez S, Liu Y, Reiher R. Using motivational theatre to increase vegetable consumption by preschool children. Journal of the Academy of Nutrition and Dietetics 2016;116(9):A35. [Google Scholar]
  2. Nicklas T, Lopez S, Liu Y, Saab R, Reiher R. Motivational theater to increase consumption of vegetable dishes by preschool children. International Journal of Behavioral Nutrition and Physical Activity 2017;14(1):16. [DOI] [PMC free article] [PubMed] [Google Scholar]

O'Connell 2012 {published data only}

  1. O'Connell ML, Henderson KE, Luedicke J, Schwartz MB. Repeated exposure in a natural setting: a preschool intervention to increase vegetable consumption. Journal of the Academy of Nutrition & Dietetics 2012;112(2):230-234. [DOI] [PubMed] [Google Scholar]

Owen 2018 {published data only}

  1. Houston-Price C, Owen LH, Kennedy OB, Hill C. Parents' experiences of introducing toddlers to fruits and vegetables through repeated exposure, with and without prior visual familiarization to foods: evidence from daily diaries. Food Quality and Preference 2019;71:291-300. [Google Scholar]
  2. Owen LH, Houston-Price C, Hill C, Kennedy OB. Peas, please! Food familiarization through picture books helps parents introduce vegetables into preschoolers’ diets. Appetite 2018;128:32-43. [DOI] [PubMed] [Google Scholar]

Remington 2012 {published data only}

  1. Remington A, Añez E, Croker H, Wardle J, Cooke L. Increasing food acceptance in the home setting: a randomized controlled trial of parent-administered taste exposure with incentives. American Journal of Clinical Nutrition 2012;95(1):72-77. [DOI] [PubMed] [Google Scholar]
  2. Remington AM, Anez EV, Cooke LJ, Wardle J. Tiny tastes. A home based intervention promoting acceptance of disliked vegetables. Appetite 2011;57:S35-36. [Google Scholar]

Remy 2013 {published data only}

  1. Remy E, Issanchou S, Chabanet C, Nicklaus S. Repeated exposure of infants at complementary feeding to a vegetable puree increases acceptance as effectively as flavor-flavor learning and more effectively than flavor-nutrient learning. Journal of Nutrition 2013;143(7):1194-1200. [DOI] [PubMed] [Google Scholar]

Roe 2013 {published data only}

  1. Roe LS, Meengs JS, Birch LL, Rolls BJ. Serving a variety of vegetables and fruit as a snack increased intake in preschool children. American Journal of Clinical Nutrition 2013;98(3):693-699. [DOI] [PMC free article] [PubMed] [Google Scholar]

Roset‐Salla 2016 {published data only}

  1. Roset-Salla M, Ramon-Cabot J, Salabarnada-Torras J, Pera Guillem Dalmau A. Educational intervention to improve adherence to the Mediterranean diet among parents and their children aged 1–2 years. EniM clinical trial. Public Health Nutrition 2016;19(06):1131-1144. [DOI] [PMC free article] [PubMed] [Google Scholar]

Savage 2012 {published data only}

  1. Savage JS, Fisher JO, Marini M, Birch LL. Serving smaller age-appropriate entree portions to children aged 3-5 y increases fruit and vegetable intake and reduces energy density and energy intake at lunch. American Journal of Clinical Nutrition 2012;95:335-341. [DOI] [PubMed] [Google Scholar]

Segura‐Perez 2017 {published data only}

  1. Segura-Perez S, Damio G, Perez-Escamilla R. Improving access to fresh fruit and vegetables among low income families in the USA: the neat trial. Annals of Nutrition and Metabolism 2017;71:841. [Google Scholar]
  2. Segura-Perez S, Perez-Escamilla R, Damio G. Improving access to fresh fruit and vegetables among inner-city residents: the NEAT trial. FASEB Journal 2017;31:No pagination. [Google Scholar]

Sherwood 2015 {published data only}

  1. Sherwood NE, JaKa MM, Crain AL, Martinson BC, Hayes MG, Anderson JD. Pediatric primary care-based obesity prevention for parents of preschool children: a pilot study. Childhood Obesity (Print) 2015;11(6):674-682. [DOI] [PMC free article] [PubMed] [Google Scholar]

Skouteris 2015 {published data only}

  1. Skouteris H, Hill B, McCabe M, Swinburn B, Busija L. A parent-based intervention to promote healthy eating and active behaviours in pre-school children: evaluation of the MEND 2-4 randomized controlled trial. Pediatric Obesity 2015;11(1):4-10. [DOI] [PubMed] [Google Scholar]
  2. Skouteris H, McCabe M, Swinburn B, Hill B. Healthy eating and obesity prevention for preschoolers: a randomised controlled trial. BMC Public Health 2010;10:220. [DOI] [PMC free article] [PubMed] [Google Scholar]

Smith 2017 {published data only}

  1. Smith E, Sutarso T, Kaye GL. Access With Education Improves Fruit and Vegetable Intake in Preschool Children. Journal of Nutrition Education & Behavior 2019;05:05. [DOI] [PubMed] [Google Scholar]
  2. Smith E. The Effects of Access and Education on Preschool Children's Fruit and Vegetable Intake [Dissertation]. Vol. 10626889. The Ohio State University, 2017. [Google Scholar]

Spill 2010 {published and unpublished data}

  1. Spill MK, Birch LL, Roe LS, Rolls BJ. Eating vegetables first: the use of portion size to increase vegetable intake in preschool children. American Journal of Clinical Nutrition 2010;91(5):1237-43. [DOI] [PMC free article] [PubMed] [Google Scholar]

Spill 2011a {published and unpublished data}

  1. Spill MK, Birch LL, Roe LS, Rolls BJ. Hiding vegetables to reduce energy density: an effective strategy to increase children's vegetable intake and reduce energy intake. American Journal of Clinical Nutrition 2011;94(3):735-41. [DOI] [PMC free article] [PubMed] [Google Scholar]

Spill 2011b {published and unpublished data}

  1. Spill MK, Birch LL, Roe LS, Rolls BJ. Serving large portions of vegetable soup at the start of a meal affected children's energy and vegetable intake. Appetite 2011;57(1):213-9. [DOI] [PMC free article] [PubMed] [Google Scholar]

Staiano 2016 {published data only}

  1. Staiano AE, Marker AM, Frelier JM, Hsia DS, Martin CK. Influence of screen-based peer modeling on preschool children's vegetable consumption and preferences. Journal of Nutrition Education and Behavior 2016;48(5):331-5.e1. [DOI] [PMC free article] [PubMed] [Google Scholar]

Sullivan 1994 {published data only}

  1. Sullivan SA, Birch LL. Infant dietary experience and acceptance of solid foods. Pediatrics 1994;93(2):271-7. [PubMed] [Google Scholar]

Tabak 2012 {published data only}

  1. Anonymous. Erratum... Tabak et al. Family ties to health program: a randomized intervention to improve vegetable intake in children. Journal of Nutrition Education & Behaviour, 2012 Mar/Apr 44(2):166-71. Journal of Nutrition Education and Behavior 2014;46:202. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Tabak RG, Tate DF, Stevens J, Siega-Riz AM, Ward DS. Family ties to health program: a randomized intervention to improve vegetable intake in children. Journal of Nutrition Education & Behavior 2012;44(2):166-71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Tabak RG, Tate DF, Stevens J, Siega-Riz AM, Ward DS. Family ties to health study: a randomized intervention to improve vegetable intake in children. Obesity 2011;19:S109. [DOI] [PMC free article] [PubMed] [Google Scholar]

Vazir 2013 {published data only}

  1. Vazir S, Engle P, Balakrishna N, Griffiths PL, Johnson SL, Creed-Kanashiro H, et al. Cluster-randomized trial on complementary and responsive feeding education to caregivers found improved dietary intake, growth and development among rural Indian toddlers. Maternal and Child Nutrition 2013;9(1):99-117. [DOI] [PMC free article] [PubMed] [Google Scholar]

Verbestel 2014 {published data only}

  1. Verbestel V, De Coen V, Van Winckel M, Huybrechts I, Maes L, De Bourdeaudhuij I. Prevention of overweight in children younger than 2 years old: a pilot cluster-randomized controlled trial. Public Health Nutrition 2014;17(6):1384-92. [DOI] [PMC free article] [PubMed] [Google Scholar]

Vereecken 2009 {published data only}

  1. Vereecken C, Huybrechts I, Van Houte H, Martens V, Wittebroodt I, Maes L. Results from a dietary intervention study in preschools "Beastly Healthy at School". International Journal of Public Health 2009;54(3):142-9. [DOI] [PubMed] [Google Scholar]

Wardle 2003a {published data only}

  1. Wardle J, Cooke LJ, Gibson EL, Sapochnik M, Sheiman A, Lawson M. Increasing children's acceptance of vegetables; a randomized trial of parent-led exposure. Appetite 2003;40(2):155-62. [DOI] [PubMed] [Google Scholar]

Watt 2009 {published data only}

  1. Scheiwe A, Hardy R, Watt RG. Four-year follow-up of a randomized controlled trial of a social support intervention on infant feeding practices. Maternal and Child Nutrition 2010;6(4):328-37. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Watt RG, Tull KI, Wiggins M, Kelly Y, Molloy B, Dowler E, et al. Effectiveness of a social support intervention of infant feeding practices: randomised controlled trial. Journal of Epidemiology and Community Health 2009;63(2):156-62. [DOI] [PubMed] [Google Scholar]

Williams 2014 {published data only}

  1. Williams PA, Cates SC, Blitstein JL, Hersey J, Gabor V, Ball M, et al. Nutrition-education program improves preschoolers' at-home diet: a group randomized trial. Journal of the Academy of Nutrition and Dietetics 2014;114(7):1001-8. [DOI] [PubMed] [Google Scholar]

Witt 2012 {published data only}

  1. Witt KE, Dunn C. Increasing fruit and vegetable consumption among preschoolers: evaluation of color me healthy. Journal of Nutrition Education and Behavior 2012;44(2):107-13. [DOI] [PubMed] [Google Scholar]

Wyse 2012 {published data only}

  1. Wolfenden L, Wyse R, Campbell E, Brennan L, Campbell KJ, Fletcher A, et al. Randomized controlled trial of a telephone-based intervention for child fruit and vegetable intake: long-term follow-up. American Journal of Clinical Nutrition 2014;99(3):543-50. [DOI] [PubMed] [Google Scholar]
  2. Wyse R, Wolfenden L, Bisquera A. Characteristics of the home food environment that mediate immediate and sustained increases in child fruit and vegetable consumption: mediation analysis from the Healthy Habits cluster randomised controlled trial. International Journal of Behavioral Nutrition and Physical Activity 2015;12:118. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Wyse R, Wolfenden L, Campbell E, Campbell K, Brennan L, Fletcher A, et al. Increasing fruit and vegetable consumption in 3- 5 year old children: results from a cluster randomised controlled trial of a telephone-based parent intervention, Hunter region, NSW, Australia. Obesity Reviews 2011;12:68. [Google Scholar]
  4. Wyse R, Wolfenden L, Campbell E, Campbell KJ, Wiggers J, Brennan L, et al. A cluster randomized controlled trial of a telephone-based parent intervention to increase preschoolers' fruit and vegetable consumption. American Journal of Clinical Nutrition 2012;96(1):102-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Wyse RJ, Wolfenden L, Campbell E, Brennan L, Campbell KJ, Fletcher A, et al. A cluster randomised trial of a telephone-based intervention for parents to increase fruit and vegetable consumption in their 3- to 5-year-old children: study protocol. BMC Public Health 2010;10:216. [DOI] [PMC free article] [PubMed] [Google Scholar]

Zeinstra 2017 {published data only}

  1. Zeinstra GG, Kremer S, Kooijman V. My idol eats carrots, so do I? The delayed effect of a classroom-based intervention on 4–6-year-old children’s intake of a familiar vegetable. Food Quality and Preference 2017;62:352-9. [Google Scholar]

Zeinstra 2018 {published data only}

  1. Zeinstra GG, Vrijhof M, Kremer S. Is repeated exposure the holy grail for increasing children's vegetable intake? Lessons learned from a Dutch childcare intervention using various vegetable preparations. Appetite 2018;121:316-25. [DOI] [PubMed] [Google Scholar]

References to studies excluded from this review

Aass 2018 {published data only}

  1. Aass J. Play with your vegetables! Can playful eating utensils increase children's vegetable consumption in shared kindergarten meals? [Thesis]. OsloMet-storbyuniversitetet. Institutt for sykepleie og helsefremmende arbeid, 2018. [Google Scholar]

Aboud 2008 {published data only}

  1. Aboud FE, Moore AC, Akhter S. Effectiveness of a community-based responsive feeding programme in rural Bangladesh: a cluster randomized field trial. Maternal and Child Nutrition 2008;4(4):275-86. [DOI] [PMC free article] [PubMed] [Google Scholar]

Adams 2011 {published data only}

  1. Adams A, LaRowe T, Cronin KA, Prince RJ, Jobe JB. Healthy children, strong families: results of a randomized trial of obesity prevention for preschool American Indian children and their families. Obesity 2011;19:S110. [Google Scholar]
  2. Adams AK, LaRowe TL, Cronin KA, Prince RJ, Wubben DP, Parker T, et al. The healthy children, strong families intervention: design and community participation. Journal of Primary Prevention 2012;33(4):175-85. [DOI] [PMC free article] [PubMed] [Google Scholar]

Adams 2019 {published data only}

  1. Adams MA, Bruening M, Ohri-Vachaspati P. Use of salad bars in schools to increase fruit and vegetable consumption: where's the evidence? Journal of the Academy of Nutrition and Dietetics 2015;115(8):1233-6. [DOI] [PubMed] [Google Scholar]
  2. Adams MA, Ohri-Vachaspati P, Richards TJ, Todd M, Bruening M. Design and rationale for evaluating salad bars and students’ fruit and vegetable consumption: a cluster randomized factorial trial with objective assessments. Contemporary Clinical Trials 2019;77:37-45. [DOI] [PMC free article] [PubMed] [Google Scholar]

Agrawal 2012 {published data only}

  1. Agrawal T, Hoffman JA, Ahl M, Bhaumik U, Healey C, Carter S, et al. Collaborating for impact: a multilevel early childhood obesity prevention initiative. Family & Community Health 2012;35:192-202. [DOI] [PubMed] [Google Scholar]

Ahearn 2001 {published data only}

  1. Ahearn WH, Kerwin ME, Eicher PS, Lukens CT. An ABAC comparison of two intensive interventions for food refusal. Behavior Modification 2001;25(3):385-405. [DOI] [PubMed] [Google Scholar]

Ahern 2014 {published data only}

  1. Ahern SM, Caton SJ, Blundell P, Hetherington MM. The root of the problem: increasing root vegetable intake in preschool children by repeated exposure and flavour flavour learning. Appetite 2014;80:154-60. [DOI] [PubMed] [Google Scholar]

Ajie 2016 {published data only}

  1. Ajie W. Totally veggies. Journal of Nutrition, Education and Behavior 2016;48(10):753.

Aktac 2019 {published data only}

  1. Aktac S, Kiziltan G, Avci S. The effect of family participation in nutrition education intervention on the nutritional status of preschool age children. Egitim Ve Bilim-Education and Science 2019;44(199):415-31. [Google Scholar]

Al Bashabsheh 2016 {published data only}

  1. Al Bashabsheh Z, Al Bashabsheh Z, Kidd T. Evaluating the effectiveness of nutrition education for WIC service clients in Manhattan, Kansas. Journal of Nutrition Education and Behavior 2016;48(7):S18. [Google Scholar]

Alcazar 2017 {published data only}

  1. Alcazar L, Raber M, Lopez K, Markham C, Sharma S. Examining the impact of a school-based fruit and vegetable co-op in the Hispanic community through documentary photography. Appetite 2017;116:115-22. [DOI] [PubMed] [Google Scholar]

Alford 1971 {published data only}

  1. Alford BB, Tibbets MH. Education increases consumption of vegetables by children. Journal of Nutrition Education 1971;3(7):12-4. [Google Scholar]

Amin 2016 {published data only}

  1. Amin S, Stickle T, Eriksen H, Johnson RK. Nudging pre-school children's fruit and vegetable consumption during afternoon snack time using older child mentors from the Live Y'ers Afterschool Program. Journal of the Academy of Nutrition and Dietetics 2016;116(9):A25. [Google Scholar]

Amsel 2019 {published data only}

  1. Amsel P, Trude A, Castelo R, Ezeonyebuchi C, Black M. Preschoolers are more likely to eat foods they know: a cross-sectional analysis of willingness to try new foods and children's food knowledge. Current Developments in Nutrition 2019;3(Suppl 1):No pagination. [Google Scholar]

Anderson 2014 {published data only}

  1. Anderson LM, Symoniak ED, Epstein LH. A randomized pilot trial of an integrated school-worksite weight control program. Health Psychology 2014;33(11):1421-5. [DOI] [PubMed] [Google Scholar]

Anez 2013 {published data only}

  1. Anez E, Remington A, Wardle J, Cooke L. The impact of instrumental feeding on children's responses to taste exposure. Journal of Human Nutrition and Dietetics 2013;26(5):415-20. [DOI] [PubMed] [Google Scholar]

Ang 2016 {published data only}

  1. Ang I, Trent R, Gray HL, Wolf R, Koch P, Contento I. Comparison of school lunch cut fruit and whole fruit consumption in a naturalistic elementary school cafeteria setting. Journal of Nutrition Education and Behavior 2016;48(7):S14. [Google Scholar]

Anliker 1993 {published data only}

  1. Anliker JA, Drake LT, Pacholski J, Little W. Impacts of a multi-layered nutrition education program: teenagers teaching children. Journal of Nutrition Education 1993;25(3):140-3. [Google Scholar]

Anonymous 2001 {published data only}

  1. Anonymous. Some children baffled by satsumas. Nursing Times 2001;97:5-5. [Google Scholar]

Anonymous 2002 {published data only}

  1. Anonymous. Welfare food scheme to be extended. RCM Midwives 2002;5:404.

Anonymous 2007 {published data only}

  1. Anonymous. Effective dietary interventions for overweight and obese children. Australian Nursing Journal (July 1993) 2007;14:31-4. [PubMed] [Google Scholar]

Anonymous 2009 {published data only}

  1. Anonymous. Web campaign invites children to get involved with healthy eating. Paediatric Nursing 2009;21:5-5. [Google Scholar]

Anonymous 2011a {published data only}

  1. Anonymous. Postscripts. Nutrition Health Review: The Consumer's Medical Journal 2011:20.

Anonymous 2011b {published data only}

  1. Anonymous. Target parents to prevent obesity. Australian Nursing Journal 2011;18:35. [PubMed] [Google Scholar]

Anonymous 2012 {published data only}

  1. Anonymous. European Congress on Obesity, ECO2012. Obesity Facts 2012;5. [DOI] [PubMed]

Anonymous 2019a {published data only}

  1. Anonymous. Denmark: School fruit causes more children to gnaw apples, pears and carrots during school hours. MENA Report 2019:No pagination.

Anonymous 2019b {published data only}

  1. Anonymous. Foodstuffs: vegetables for preschool educational institutions and Berlovo Secondary School I-ii centuries. MENA Report 2019;n/a:No pagination. [Google Scholar]

Anonymous 2019c {published data only}

  1. Anonymous. Clinical trial: family and web-based nutrition intervention to increase vegetable, fruit, and dairy intakes in children. US Federal News Service, Including US State News 2019.

Anonymous 2019d {published data only}

  1. Anonymous. Study finds variation of lead uptake in fruits, veggies; risk highest for children. Newstex 2019:No pagination.

Anstrom 2017 {published data only}

  1. Anstrom C, Kimberlin D, Sunnarborg K, Albrecht K, Fosdal R, Brown K, et al. Parents and teachers acting as change agents: the influence of nutritional knowledge to support the development of healthy behaviors in children in rural Appalachia. Journal of the Academy of Nutrition and Dietetics 2017;117(9):A91. [Google Scholar]

Anton‐Păduraru {published data only}

  1. Anton-Păduraru DT, Bunea E, Druică A, Bocec AS. The role of nutritional education in preschoolers. Revista Societăţii Române de Chirurgie Pediatrică Unknown;Unknown:47. [Google Scholar]

Anzman‐Frasca 2018 {published data only}

  1. Anzman-Frasca S, Braun AC, Ehrenberg S, Epstein LH, Gampp A, Leone LA, et al. Effects of a randomized intervention promoting healthy children's meals on children's ordering and dietary intake in a quick-service restaurant. Physiology & Behavior 2018;192:109-17. [DOI] [PubMed] [Google Scholar]

Apatu 2016 {published data only}

  1. Apatu E, Sealey-Potts C, Diersing J. Cooking classes: are they effective nutrition interventions in low-income settings? Journal of Nutrition Education and Behavior 2016;48(7):S9. [Google Scholar]

Aranceta‐Bartrina 2016 {published data only}

  1. Aranceta-Bartrina J, Perez-Rodrigo C. Determinants of childhood obesity: ANIBES study. Nutricion Hospitalaria 2016;33(Suppl 4):339. [DOI] [PubMed] [Google Scholar]

Arlinghaus 2018 {published data only}

  1. Arlinghaus KR, Vollrath K, Hernandez DC, Momin SR, O'Connor TM, Power TG, et al. Authoritative parent feeding style is associated with better child dietary quality at dinner among low-income minority families. American Journal of Clinical Nutrition 2018;30:30. [DOI] [PMC free article] [PubMed] [Google Scholar]

Armstrong 2019 {published data only}

  1. Armstrong B, Trude AC, Johnson C, Castelo RJ, Zemanick A, Haber-Sage S, et al. CHAMP: A cluster randomized-control trial to prevent obesity in child care centers. Contemporary Clinical Trials 2019;86:No pagination. [DOI] [PMC free article] [PubMed] [Google Scholar]

Arredondo 2018 {published data only}

  1. Arredondo EM, Ayala GX, Soto S, Slymen DJ, Horton LA, Parada H, et al. Latina mothers as agents of change in children's eating habits: findings from the randomized controlled trial Entre Familia: Reflejos de Salud. International Journal of Behavioral Nutrition and Physical Activity 2018;15:95. [DOI] [PMC free article] [PubMed] [Google Scholar]

Arrow 2013 {published data only}

  1. Arrow P, Raheb J, Miller M. Brief oral health promotion intervention among parents of young children to reduce early childhood dental decay. BMC Public Health 2013;13:245. [DOI] [PMC free article] [PubMed] [Google Scholar]

Askelson 2017 {published data only}

  1. Askelson NM, Golembiewski EH, Baquero B, Momany ET, Friberg J, Montgomery D. The importance of matching the evaluation population to the intervention population: using Medicaid data to reach hard-to-reach intervention populations. Evaluation and Program Planning 2017;60:64-71. [DOI] [PubMed] [Google Scholar]

Au 2015a {published data only}

  1. Au LE, Rosen NJ, Ritchie LD. Does eating school meals make a difference in overall diet quality? a comparison study of elementary school students. Journal of the Academy of Nutrition and Dietetics 2015;115(9):A16. [Google Scholar]

Au 2015b {published data only}

  1. Au L, Whaley S, Rosen N, Meza M, Ritchie L. A randomized controlled trial evaluating online to in person education to improve breakfast behaviors, beliefs and knowledge in WIC participants. FASEB Journal. Conference: Experimental Biology Meeting Abstracts 2015;29(1):264.3. [Google Scholar]
  2. Au LE, Whaley S, Rosen NJ, Meza M, Ritchie LD. Online and in-person nutrition education improves breakfast knowledge, attitudes, and behaviors: a randomized trial of participants in the special supplemental nutrition program for women, infants, and children. Journal of the Academy of Nutrition and Dietetics 2016;116(3):490-500. [DOI] [PubMed] [Google Scholar]

Au 2016 {published data only}

  1. Au LE, Rosen NJ, Fenton K, et al. Eating school lunch Is associated with higher diet quality among elementary school students. Journal of the Academy of Nutrition and Dietetics 2016;116(11):1817-24. [DOI] [PubMed] [Google Scholar]

Au 2019 {published data only}

  1. Au LE, Paolicelli C, Gurzo K, Ritchie LD, Weinfield NS, Plank KR, et al. Contribution of WIC-eligible foods to the overall diet of 13- and 24-month-old toddlers in the WIC Infant and Toddler Feeding Practices Study-2. Journal of the Academy of Nutrition and Dietetics 2019;119(3):435-48. [DOI] [PubMed] [Google Scholar]

Azevedo 2019 {published data only}

  1. Azevedo J, Padrão P, Gregório MJ, Almeida C, Moutinho N, Lien N, et al. A web-based gamification program to improve nutrition literacy in families of 3- to 5-year-old children: the Nutriscience Project. Journal of Nutrition Education and Behavior 2019;51(3):326-34. [DOI] [PubMed] [Google Scholar]

Bai 2012 {published data only}

  1. Bai Y, Suriano L, Wunderlich S. Veggiecation for the love of vegetables. Journal of Nutrition Education and Behavior 2012;44(4 Supplement):S23-4. [DOI] [PubMed] [Google Scholar]

Bakke 2018 {published data only}

  1. Bakke AJ, Stubbs CA, McDowell EH, Moding KJ, Johnson SL, Hayes JE. Mary Poppins was right: adding small amounts of sugar or salt reduces the bitterness of vegetables. Appetite 2018;126:90-101. [DOI] [PubMed] [Google Scholar]

Bannon 2006 {published data only}

  1. Bannon K, Schwartz MB. Impact of nutrition messages on children's food choice: pilot study. Appetite 2006;46:124-9. [DOI] [PubMed] [Google Scholar]

Bante 2008 {published data only}

  1. Bante H, Elliott M, Harrod A, Haire-Joshu D. The use of inappropriate feeding practices by rural parents and their effect on preschoolers' fruit and vegetable preferences and intake. Journal of Nutrition Education and Behavior 2008;40(1):28-33. [DOI] [PubMed] [Google Scholar]

Baranowski 2002 {published data only}

  1. Baranowski T, Baranowski J, Cullen KW, DeMoor C, Rittenberry L, Hebert D, et al. 5 a day achievement badge for African-American boy scouts: pilot outcome results. Preventive Medicine 2002;34(3):353-63. [DOI] [PubMed] [Google Scholar]

Barkin 2012 {published data only}

  1. Barkin SL, Gesell SB, Po'e EK, Escarfuller J, Tempesti T. Culturally tailored, family-centered, behavioral obesity intervention for Latino-American preschool-aged children. Pediatrics 2012;130(3):445-56. [DOI] [PMC free article] [PubMed] [Google Scholar]

Baxter 1998 {published data only}

  1. Baxter SD. Are elementary schools teaching children to prefer candy but not vegetables? Journal of School Health 1998;68(3):111-3. [DOI] [PubMed] [Google Scholar]

Bayer 2009 {published data only}

  1. Bayer O, Van Kries R, Strauss A, Mitschek C, Toschke AM, Hose A, et al. Short- and mid-term effects of a setting based prevention program to reduce obesity risk factors in children: a cluster-randomized trial. Clinical Nutrition 2009;28:122-8. [DOI] [PubMed] [Google Scholar]
  2. Strauss A, Herbert B, Mitschek C, Duvinage K, Koletzko B. TigerKids. Successful health promotion in preschool settings. Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz 2011;54(3):322-9. [DOI] [PubMed] [Google Scholar]

Bean 2018 {published data only}

  1. Bean MK, Brady Spalding B, Theriault E, Dransfield K-B, Sova A, Dunne Stewart M. Salad bars increased selection and decreased consumption of fruits and vegetables 1 month after installation in Title I elementary schools: a plate waste study. Journal of Nutrition Education and Behavior 2018;50(6):589-97. [DOI] [PMC free article] [PubMed] [Google Scholar]

Beasley 2012 {published data only}

  1. Beasley N, Sharma S, Shegog R, Huber R, Abernathy P, Smith C, et al. The Quest to Lava Mountain: using video games for dietary change in children. Journal of the Academy of Nutrition and Dietetics 2012;112(9):1334-6. [DOI] [PubMed] [Google Scholar]

Beets 2016 {published data only}

  1. Beets MW, Brazendale K, Weaver RG, Turner-McGrievy GM, Huberty J, Moore JB, et al. Economic evaluation of a group randomized controlled trial on healthy eating and physical activity in afterschool programs. Preventive Medicine 2017;106:60-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Beets MW, Turner-McGrievy B, Weaver RG, Huberty J, Moore JB, Ward DS, et al. Intervention leads to improvements in the nutrient profile of snacks served in afterschool programs: a group randomized controlled trial. Translational Behavioral Medicine 2016;6(3):329-38. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Beets MW, Weaver RG, Turner-McGrievy G, Huberty J, Ward DS, Freedman D, et al. Making healthy eating policy practice: a group randomized controlled trial on changes in snack quality, costs, and consumption in after-school programs. American Journal of Health Promotion 2016;30(7):521-31. [DOI] [PMC free article] [PubMed] [Google Scholar]

Beinert 2017 {published data only}

  1. Beinert C, Hernes S, Haugen M, Øverby NC. No long-term effect of a 2-days intervention on how to prepare homemade food, on toddlers' skepticism for new food and intake of fruits and vegetables and sweet beverages: a randomized, controlled trial. BMC Research Notes 2017;10(1):607. [DOI] [PMC free article] [PubMed] [Google Scholar]

Bellows 2013 {published data only}

  1. Bellows L, Johnson SL, Davies PL, Anderson J, Gavin W, Boles RE. The Colorado LEAP Study: a longitudinal study for obesity prevention in early childhood. Journal of Nutrition Education and Behavior 2013;45(4 Supplement):S78. [Google Scholar]
  2. Bellows L, Johnson SL, Davies PL, Gavin W, Boles RE. Findings from the Colorado LEAP Study: a longitudinal study for obesity prevention in early childhood. Journal of Nutrition Education and Behavior 2014;46(4 Supplement):S189. [Google Scholar]

Bellows 2017 {published data only}

  1. Bellows L, Johnson SL, Bekelman T, Benz C, Chamberlin B, Clark L, et al. The HEROs Study year 2: engaging families to promote healthy eating and activity behaviors in early childhood. Journal of Nutrition Education and Behavior 2017;49(7):S110-1. [DOI] [PMC free article] [PubMed] [Google Scholar]

Benjamin 2008 {published data only}

  1. Benjamin SE, Haines J, Ball SC, Ward DS. Improving nutrition and physical activity in child care: what parents recommend. Journal of the American Dietetic Association 2008;108(11):1907-11. [DOI] [PubMed] [Google Scholar]

Benjamin Neelon 2016 {published data only}

  1. Benjamin Neelon SE, Mayhew M, O’Neill JR, Neelon B, Li F, Pate RR. Comparative evaluation of a South Carolina policy to improve nutrition in child care. Journal of the Academy of Nutrition and Dietetics 2016;116(6):949-56. [DOI] [PubMed] [Google Scholar]

Bensley 2011 {published data only}

  1. Bensley RJ, Anderson JV, Brusk JJ, Mercer N, Rivas J. Impact of internet vs traditional special supplemental nutrition program for women, infants, and children nutrition education on fruit and vegetable intake. Journal of the American Dietetic Association 2011;111(5):749-55. [DOI] [PubMed] [Google Scholar]

Bere 2015 {published data only}

  1. Bere E, Te Velde SJ, Smastuen MC, Twisk J, Klepp KI. One year of free school fruit in Norway--7 years of follow-up. International Journal of Behavioral Nutrition & Physical Activity 2015;12:139. [DOI] [PMC free article] [PubMed] [Google Scholar]

Berg 2016 {published data only}

  1. Berg L. Raising a healthy, happy eater. Journal of Nutrition Education and Behavior 2016;48(5):356. [Google Scholar]

Bergman 2016 {published data only}

  1. Bergman D, Barry C. This is way better than Cheetos; changing children's eating behavior through garden and kitchen-based nutrition education. Journal of Nutrition Education and Behavior 2016;48(7):S9-S10. [Google Scholar]

Berhe 1997 {published data only}

  1. Berhe G. Tulimbe Nutrition Project: a community-based dietary intervention to combat micronutrient malnutrition in rural southern Malawi. SCN news 1997;Dec(15):25-6. [PubMed] [Google Scholar]

Bernal 2019 {published data only}

  1. Bernal R, Ramirez SM. Improving the quality of early childhood care at scale: the effects of "From Zero to Forever". World Development 2019;118:91-105. [Google Scholar]

Berry 2013 {published data only}

  1. Berry DC, Neal M, Hall EG, Schwartz TA, Verbiest S, Bonuck K, et al. Rationale, design, and methodology for the optimizing outcomes in women with gestational diabetes mellitus and their infants study. BMC Pregnancy and Childbirth 2013;13:No pagination. [DOI] [PMC free article] [PubMed] [Google Scholar]

Bessems 2012 {published data only}

  1. Bessems KM, Assema P, Martens MK, Paulussen TG, Raaijmakers LG, De Rooij M, et al. Healthier food choices as a result of the revised healthy diet programme Krachtvoer for students of prevocational schools. International Journal of Behavioral Nutrition and Physical Activity 2012;9:60. [DOI] [PMC free article] [PubMed]

Best 2016 {published data only}

  1. Best JR, Goldschmidt AB, Mockus-Valenzuela DS, Stein RI, Epstein LH, Wilfley DE. Shared weight and dietary changes in parent-child dyads following family-based obesity treatment. Health Psychology 2016;35(1):92-5. [DOI] [PMC free article] [PubMed] [Google Scholar]

Bhandari 2004 {published data only}

  1. Bhandari N, Mazumder S, Bahl R, Martines J, Black RE, Bhan MK. An educational intervention to promote appropriate complementary feeding practices and physical growth in infants and young children in rural Haryana, India. Journal of Nutrition 2004;134(9):2342-8. [DOI] [PubMed] [Google Scholar]

Bibiloni 2017 {published data only}

  1. Bibiloni MDM, Fernandez-Blanco J, Pujol-Plana N, Martin-Galindo N, Fernandez-Vallejo MM, Roca-Domingo M, et al. Improving diet quality in children through a new nutritional education programme: INFADIMED. Gaceta Sanitaria 2017;11:11. [DOI] [PubMed]

Birch 1980 {published data only}

  1. Birch LL. Effects of peer models' food choices and eating behaviors on preschoolers' food preferences. Child Development 1980;51(2):489-96.

Birch 1982 {published data only}

  1. Birch LL, Marlin DW. I don't like it; never tried it: effects of exposure on two-year-old children's food preferences. Appetite 1982;3:353-60. [DOI] [PubMed]

Birch 1987 {published data only}

  1. Birch LL, McPheee L, Shoba BC, Steinberg L, Krehbiel R. “Clean up your plate”: Effects of child feeding practices on the conditioning of meal size. Learning and Motivation 1987;18(3):301-17. [Google Scholar]

Birch 1998 {published data only}

  1. Birch LL. Development of food acceptance patterns in the first years of life. Proceedings of the Nutrition Society 1998;57(4):617-24. [DOI] [PubMed]

Black 2013 {published data only}

  1. Black AP, Vally H, Morris P, Daniel M, Esterman A, Karschimkus CS, et al. Nutritional impacts of a fruit and vegetable subsidy programme for disadvantaged Australian Aboriginal children. British Journal of Nutrition 2013;110(12):2309-17. [DOI] [PubMed] [Google Scholar]

Blissett 2012 {published data only}

  1. Blissett J, Bennett C, Donohoe J, Rogers S, Higgs S. Predicting successful introduction of novel fruit to preschool children. Journal of the Academy of Nutrition and Dietetics 2012;112(12):1959-67. [DOI] [PubMed] [Google Scholar]

Blom‐Hoffman 2008 {published data only}

  1. Blom-Hoffman J, Wilcox KR, Dunn L, Leff SS, Power TJ. Family involvement in school-based health promotion: bringing nutrition information home. School Psychology Review 2008;37(4):567-77. [PMC free article] [PubMed] [Google Scholar]

Boaz 1998 {published data only}

  1. Boaz A, Ziebland S, Wyke S, Walker J. A 'five-a-day' fruit and vegetable pack for primary school children. Part II: controlled evaluation in two Scottish schools. Health Education Journal 1998;57:105-16. [Google Scholar]

Bocca 2018 {published data only}

  1. Bocca G, Kuitert MW, Sauer PJ, Corpeleijn E. Effect of a multidisciplinary treatment program on eating behavior in overweight and obese preschool children. Journal of Pediatric Endocrinology & Metabolism 2018;13:13. [DOI] [PubMed] [Google Scholar]

Bollella 1999 {published data only}

  1. Bollella MC, Spark A, Boccia LA, Nicklas TA, Pittman BP, Williams CL. Nutrient intake of Head Start children: home vs school. Journal of the American College of Nutrition 1999;18(2):108-14. [DOI] [PubMed] [Google Scholar]

Bonvecchio‐Arenas 2010 {published data only}

  1. Bonvecchio-Arenas A, Theodore FL, Hernandez-Cordero S, Campirano-Nunez F, Islas AL, Safdie M, et al. The school as an opportunity for obesity prevention: an experience from the Mexican school system [La escuela como alternativa en la prevencion de la obesidad: La experiencia en el sistema escolar Mexicano]. Revista Española de Nutricion Comunitaria 2010;16:13-6. [Google Scholar]

Borys 2016 {published data only}

  1. Borys JM, Richard P, Ruault du Plessis H, Harper P, Levy E. Tackling health inequities and reducing obesity prevalence: the EPODE community-based approach. Annals of Nutrition & Metabolism 2016;68(Suppl 2):35-8. [DOI] [PubMed] [Google Scholar]

Bouhlal 2014 {published data only}

  1. Bouhlal S, Issanchou S, Chabanet C, Nicklaus S. 'Just a pinch of salt'. An experimental comparison of the effect of repeated exposure and flavor-flavor learning with salt or spice on vegetable acceptance in toddlers. Appetite 2014;83:209-17. [DOI] [PubMed] [Google Scholar]

Bradley 2014 {published data only}

  1. Bradley CL. The effect of a classroom intervention on fruit and vegetable intake in preschoolers in a public school setting. Dissertation Abstracts International Section A: Humanities and Social Sciences 2014;75.

Brambilla 2010 {published data only}

  1. Brambilla P, Bedogni G, Buongiovanni C, Brusoni G, Di Mauro G, Di Pietro M, et al. "Mi voglio bene": a pediatrician-based randomized controlled trial for the prevention of obesity in Italian preschool children. Italian Journal of Pediatrics 2010;36:55. [DOI] [PMC free article] [PubMed] [Google Scholar]

Branscum 2013 {published data only}

  1. Branscum P, Sharma M, Wang LL, Wilson BR, Rojas-Guyler L. A true challenge for any superhero: an evaluation of a comic book obesity prevention program. Family & Community Health 2013;36:63-76. [DOI] [PubMed] [Google Scholar]
  2. Branscum PW. Designing and evaluating an after-school social cognitive theory based comic book intervention for the prevention of childhood obesity among elementary aged school children. Dissertation Abstracts International Section A: Humanities and Social Sciences 2012;73:87. [Google Scholar]

Briefel 2006 {published data only}

  1. Briefel R, Hanson C, Fox MK, Novak T, Ziegler P. Feeding infants and toddlers study: do vitamin and mineral supplements contribute to nutrient adequacy or excess among US infants and toddlers? Journal of the American Dietetic Association 2006;106:S52-S65. [DOI] [PubMed] [Google Scholar]

Briefel 2009 {published data only}

  1. Briefel RR, Crepinsek MK, Cabili C, Wilson A, Gleason PM. School food environments and practices affect dietary behaviors of US public school children. Journal of the American Dietetic Association 2009;109:S91-S107. [DOI] [PubMed] [Google Scholar]

Briefel 2010 {published data only}

  1. Briefel RR. New findings from the Feeding Infants and Toddlers Study: data to inform action. Journal of the American Dietetic Association 2010;110(12, Supplement):S5-7. [DOI] [PubMed] [Google Scholar]
  2. Dwyer JT, Butte NF, Deming DM, Siega-Riz AM, Reidy KC. Feeding Infants and Toddlers Study 2008: progress, continuing concerns, and implications. Journal of the American Dietetic Association 2010;110(12 Supplement):S60-7. [DOI] [PubMed] [Google Scholar]
  3. May AL, Dietz WH. The Feeding Infants and Toddlers Study 2008: opportunities to assess parental, cultural, and environmental influences on dietary behaviors and obesity prevention among young children. Journal of the American Dietetic Association 2010;110(12 Supplement):S11-5. [DOI] [PubMed] [Google Scholar]

Briefel 2018 {published data only}

  1. Briefel RR, Collins AM, Wolf A, Gordon AR, Cabili CL, Klerman JA. Nutrition impacts in a randomized trial of summer food benefits to prevent childhood hunger in U.S. schoolchildren. Journal of Hunger & Environmental Nutrition 2018;13(3):304-21. [Google Scholar]
  2. Collins AM, Klerman JA, Briefel R, Rowe G, Gordon AR, Logan CW, et al. A summer nutrition benefit pilot program and low-income children's food security. Pediatrics 2018;141(4):e20171657. [DOI] [PubMed] [Google Scholar]
  3. Gordon AR, Briefel RR, Collins AM, Rowe GM, Klerman JA. Delivering summer electronic benefit transfers for children through the supplemental nutrition assistance program or the special supplemental nutrition program for women, infants, and children: benefit use and impacts on food security and foods consumed. Journal of the Academy of Nutrition and Dietetics 2016;117(3):367-75. [DOI] [PubMed]

Briley 1999 {published data only}

  1. Briley ME, Jastrow S, Vickers J, Roberts-Gray C. Dietary intake at child-care centers and away: are parents and child care providers working as partners or at cross-purposes? Journal of the American Dietetic Association 1999;99(8):950-4. [DOI] [PubMed] [Google Scholar]

Briley 2011 {published data only}

  1. Briley M, McAllaster M. Nutrition and the child-care setting. Journal of the American Dietetic Association 2011;111(9):1298-300. [DOI] [PubMed] [Google Scholar]

Briley 2016 {published data only}

  1. Briley ME, Romo-Palfox MJ, Sweitzer SJ, Roberts-Gray C, Hoelscher DM, Nanjit N. Percent of energy consumed by preschool children vary by type of food offered. Obesity Reviews 2016;17:127-8. [Google Scholar]

Brotman 2012 {published data only}

  1. Brotman LM, Dawson-McClure S, Huang K-Y, Theise R, Kamboukos D, Wang J, et al. Early childhood family intervention and long-term obesity prevention among high-risk minority youth. Pediatrics 2012;129(3):e621-8. [DOI] [PMC free article] [PubMed] [Google Scholar]

Bruening 1999 {published data only}

  1. Bruening KS, Gilbride JA, Passannante MR, McClowry S. Dietary intake and health outcomes among young children attending 2 urban day-care centers. Journal of the American Dietetic Association 1999;99(12):1529-35. [DOI] [PubMed] [Google Scholar]

Brunt 2012 {published data only}

  1. Brunt A. P136 Do spokes-characters improve consumption of vegetables among children? Journal of Nutrition Education & Behavior 2012;44:S77-8. [Google Scholar]

Bryant 2017 {published data only}

  1. Bryant M, Burton W, Cundill B, Farrin AJ, Nixon J, Stevens J, et al. Effectiveness of an implementation optimisation intervention aimed at increasing parent engagement in HENRY, a childhood obesity prevention programme - the Optimising Family Engagement in HENRY (OFTEN) trial: study protocol for a randomised controlled trial. Trials 2017;3(18):40. [DOI] [PMC free article] [PubMed]

Burgermaster 2017 {published data only}

  1. Burgermaster M, Koroly J, Contento I, Koch P, Gray HL. A mixed-methods comparison of classroom context during food, health & choices, a childhood obesity prevention intervention. Journal of School Health 2017;87(11):811-22. [DOI] [PMC free article] [PubMed] [Google Scholar]

Buscail 2018 {published data only}

  1. Buscail C, Margat A, Petit S, Gendreau J, Daval P, Lombrail P, et al. Fruits and vegetables at home (FLAM): a randomized controlled trial of the impact of fruits and vegetables vouchers in children from low-income families in an urban district of France. BMC Public Health 2018;18(1):1065. [DOI] [PMC free article] [PubMed] [Google Scholar]

Buttriss 2004 {published data only}

  1. Buttriss J. Food promotion to children: the facts. Nutrition Bulletin 2004;29:3-5. [Google Scholar]

Byrd‐Bredbenner 2012 {published data only}

  1. Byrd-Bredbenner C, Olfert M, Shelnutt KP. Advancing and expanding HomeStyles: shaping home environments and lifestyles to prevent childhood obesity. Journal of Nutrition Education and Behavior 2018;50(7):S109-10. [Google Scholar]
  2. Byrd-Bredbenner C, Worobey J, Hongu N, Hernandez G. HomeStyles: shaping home environments and lifestyle practices to prevent childhood obesity: a randomized controlled trial. Journal of Nutrition Education and Behavior 2017;49(7):S112. [Google Scholar]
  3. Byrd-Bredbenner C, Worobey J, Martin-Biggers J, Berhaupt-Glickstein A, Hongu N, Hernandez G, et al. HomeStyles: shaping home environments and lifestyle practices to prevent childhood obesity: a randomized controlled trial. Journal of Nutrition Education and Behavior 2012;44(4 Supplement):S81. [Google Scholar]
  4. Byrd-Bredbenner C, Worobey J, Martin-Biggers J, Berhaupt-Glickstein A, Hongu N, Hernandez G. HomeStyles: shaping home environments and lifestyle practices to prevent childhood obesity: a randomized controlled trial. Journal of Nutrition Education and Behavior 2014;46(4 Supplement):S190. [Google Scholar]

Byrne 2002 {published data only}

  1. Byrne E, Nitzke S. Preschool children’s acceptance of a novel vegetable following exposure to messages in a storybook. Journal of Nutrition Education and Behavior 2002;34:211-4. [DOI] [PubMed] [Google Scholar]

Calancie 2018 {published data only}

  1. Calancie L, Soldavini J, Dawson-McClure S. Partnering to strengthen school meals programs in a Southeastern school district. Progress in Community Health Partnerships 2018;12:289-96. [DOI] [PubMed] [Google Scholar]

Camelo 2016 {published data only}

  1. Camelo R. Ludotecas Saludables: towards healthier lifestyles. Journal of Nutrition Education and Behavior 2016;48(7):S21. [Google Scholar]

Campbell 2016a {published data only}

  1. Campbell KJ, Hesketh KD, McNaughton SA, Ball K, McCallum Z, Lynch J, et al. The extended Infant Feeding, Activity and Nutrition Trial (InFANT Extend) Program: a cluster-randomized controlled trial of an early intervention to prevent childhood obesity. BMC Public Health 2016;16(1):166. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Downing KL, Campbell KJ, Van der Pligt P, Hesketh KD. Facilitator and participant use of Facebook in a community-based intervention for parents: the InFANT Extend Program. Childhood Obesity 2017;13(6):443-54. [DOI] [PubMed] [Google Scholar]

Campbell 2016b {published data only}

  1. Campbell RK, Hurley KM, Shamim AA, Shaikh S, Chowdhury ZT, Mehra S, et al. Effect of complementary food supplementation on breastfeeding and home diet in rural Bangladeshi children. American Journal of Clinical Nutrition 2016;104(5):1450-8. [DOI] [PMC free article] [PubMed]

Campbell 2017 {published data only}

  1. Campbell KJ, Abbott G, Zheng, M, McNaughton SA. Early life protein intake: food sources, correlates, and tracking across the first 5 years of life. Journal of the Academy of Nutrition and Dietetics 2017;117(8):1188-97. [DOI] [PubMed]

Candido 2013 {published data only}

  1. Candido A, Godinho C, Amendoeira J. Health promoting school project as a vehicle for the promotion of healthy lifestyles: the importance of food. Atencion Primaria 2013;45:21. [Google Scholar]

Capaldi‐Phillips 2014 {published data only}

  1. Capaldi-Phillips ED, Wadhera D. Associative conditioning can increase liking for and consumption of brussels sprouts in children aged 3 to 5 Years. Journal of the Academy of Nutrition and Dietetics 2014;114(8):1236-41. [DOI] [PubMed] [Google Scholar]

Carstairs 2018 {published data only}

  1. Carstairs SA, Caton SJ, Blundell-Birtill P, Rolls BJ, Hetherington MM, Cecil JE. Can reduced intake associated with downsizing a high energy dense meal item be offset by increased vegetable variety in 3-5-year-old children? Nutrients 2018;10(12):15. [DOI] [PMC free article] [PubMed] [Google Scholar]

Carter 2005 {published data only}

  1. Carter BJ, Birnbaum AS, Hark L, Vickery B, Potter C, Osborne MP. Gem no. 392. Using media messaging to promote healthful eating and physical activity among urban youth. Journal of Nutrition Education & Behavior 2005;37:98-9. [DOI] [PubMed] [Google Scholar]

Carter 2018 {published data only}

  1. Carter TM. Are feeding practices of family child care home providers related to child fruit & vegetable intake? [Thesis]. Vol. 10789523. Ann Arbor: University of Rhode Island, 2018. [Google Scholar]

Cason 2001 {published data only}

  1. Cason KL. Evaluation of a preschool nutrition education program based on the theory of multiple intelligences. Journal of Nutrition Education 2001;33:161-4. [DOI] [PubMed] [Google Scholar]

Cassey 2016 {published data only}

  1. Cassey HJ, Washio Y, Hantula DA. The Good Nutrition Game: extending the Good Behavior Game to promote fruit and vegetable intake. Delaware Medical Journal 2016;88(11):342-5. [PubMed] [Google Scholar]

Castro 2013 {published data only}

  1. Castro DC, Samuels M, Harman AE. Growing healthy kids: a community garden-based obesity prevention program. American Journal of Preventive Medicine 2013;44(3 Suppl 3):S193-9. [DOI] [PubMed] [Google Scholar]

Cates 2014 {published data only}

  1. Cates S, Williams P, Hersey J, Blitstein J, Kosa K, Singh A, et al. SNAP-Ed interventions can increase children's at-home fruit and vegetable consumption and use of fat-free/low-fat milk. Journal of Nutrition Education and Behavior 2014;46(4 Supplement):S181. [Google Scholar]
  2. Williams PA, Cates SC, Blitstein JL, Hersey JC, Kosa KM, Long VA, et al. Evaluating the impact of six supplemental nutrition assistance program education interventions on children's at-home diets. Health Education & Behavior 2015;42(3):329-38. [DOI] [PubMed] [Google Scholar]

Caton 2014 {published data only}

  1. Caton SJ, Blundell P, Ahern SM, Nekitsing C, Olsen A, Moller P, et al. Learning to eat vegetables in early life: the role of timing, age and individual eating traits. PLoS One 2014;9:e97609. [DOI] [PMC free article] [PubMed] [Google Scholar]

Céspedes 2012 {published data only}

  1. Céspedes J, Briceño G, Farkouh M, Vedanthan R, Leal M, Dennis R, et al. A randomized preschool trial to promote cardiovascular health in Colombia: 12 month follow up. Circulation 2012;125(19):e703. [Google Scholar]
  2. Céspedes J, Briceño G, Farkouh ME, Vedanthan R, Baxter J, Leal M, et al. Promotion of cardiovascular health in preschool children: 36-month cohort follow-up. American Journal of Medicine 2013;126(12):1122-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Céspedes J, Briceño G, Farkouh ME, Vedanthan R, Baxter J, Leal M, et al. Targeting preschool children to promote cardiovascular health: cluster randomized trial. American Journal of Medicine 2013;126(1):27-35. [DOI] [PMC free article] [PubMed] [Google Scholar]

Chatham 2016 {published data only}

  1. Chatham C, Huye HF, Landry AS. Impact of packaging on children's food choices. Journal of the Academy of Nutrition and Dietetics 2016;116(9):A22. [Google Scholar]

Chen 2015 {published data only}

  1. Chen Q, Goto K, Wolff C, Zhao Y. Relationships between children's exposure to ethnic produce and their dietary behaviors. Journal of Immigrant and Minority Health 2015;17(2):383-8. [DOI] [PubMed] [Google Scholar]

Chen 2019a {published data only}

  1. Chen Q, Pei C, Bai Y, Zhao Q. Impacts of nutrition subsidies on diet diversity and nutritional outcomes of primary school students in rural Northwestern China-do policy targets and incentives matter? International Journal of Environmental Research and Public Health 2019;16(16):13. [DOI] [PMC free article] [PubMed] [Google Scholar]

Chen 2019b {published data only}

  1. Chen YY. Designing Playful Technology for Young Children's Mealtime [Dissertation]. Washington: University of Washington, 2019. [Google Scholar]

Choi 2018 {published data only}

  1. Choi EB, Lee JE, Hwang JY. Fruit and vegetable intakes in relation to behavioral outcomes associated with a nutrition education intervention in preschoolers. Nutrition Research and Practice 2018;12(6):521-6. [DOI] [PMC free article] [PubMed] [Google Scholar]

Chow 2016 {published data only}

  1. Chow AF, Leis A, Humbert L, Muhajarine N, Engler-Stringer R. Healthy Start – Départ Santé. Canadian Journal of Public Health / Revue Canadienne de Santé Publique 2016;107(3):e312-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Sari N, Muhajarine N, Chow AF. The Saskatchewan/New Brunswick Healthy Start-Départ Santé intervention: implementation cost estimates of a physical activity and healthy eating intervention in early learning centers. BMC Health Services Research 2017;17(1):57. [DOI] [PMC free article] [PubMed] [Google Scholar]

Chung 2018 {published data only}

  1. Chung LM, Fong SS. Appearance alteration of fruits and vegetables to increase their appeal to and consumption by school-age children: a pilot study. Health Psychology Open 2018;5(2):2055102918802679. [DOI] [PMC free article] [PubMed] [Google Scholar]

Ciampolini 1991 {published data only}

  1. Ciampolini M, Vicarelli D, Bini S. Choices at weaning: main factor in ingestive behavior. Nutrition 1991;7(1):51-4. [PubMed] [Google Scholar]

Clason 2016 {published data only}

  1. Clason ER, Meijer D. "Eat your greens": increasing the number of days that picky toddlers eat vegetables. Social Marketing Quarterly 2016;22(2):119-37. [Google Scholar]

Coelho 2012 {published data only}

  1. Coelho JS, Akker K, Nederkoorn C, Jansen A. Pre-exposure to high- versus low-caloric foods: effects on children's subsequent fruit intake. Eating Behaviors 2012;13(1):71-3. [DOI] [PubMed]

Cohen 2014 {published data only}

  1. Cohen JFW, Kraak VI, Choumenkovitch SF, Hyatt RR, Economos CD. The CHANGE Study: a healthy-lifestyles intervention to improve rural children's diet quality. Journal of the Academy of Nutrition and Dietetics 2014;114(1):48-53. [DOI] [PMC free article] [PubMed] [Google Scholar]

Cohen 2018 {published data only}

  1. Cohen JF, Gorski FM, Rosenfeld L, Smith L, Rimm EB, Hoffman JA. The impact of 1 year of healthier school food policies on students' diets during and outside of the school day. Journal of the Academy of Nutrition and Dietetics 2018;118(12):2296-301. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Hoffman JA, Rosenfeld L, Schmidt N, Cohen JF, Gorski M, Chaffee R, et al. Implementation of competitive food and beverage standards in a sample of Massachusetts schools: the NOURISH Study (Nutrition Opportunities to Understand Reforms Involving Student Health). Journal of the Academy of Nutrition and Dietetics 2015;115(8):1299-1307.e2. [DOI] [PMC free article] [PubMed] [Google Scholar]

Coleman 2005 {published data only}

  1. Coleman G, Horodynski MA, Contreras D, Hoerr SM. Nutrition education aimed at toddlers (NEAT) curriculum. Journal of Nutrition Education and Behavior 2005;37(2):96-7. [DOI] [PubMed] [Google Scholar]
  2. Horodynski MA, Stommel M. Nutrition education aimed at toddlers: an intervention study. Pediatric Nursing 2005;31(5):364-72. [PubMed] [Google Scholar]

Collins 2011 {published data only}

  1. Burrows T, Janet WM, Collins CE. Long-term changes in food consumption trends in overweight children in the HIKCUPS intervention. Journal of Pediatric Gastroenterology & Nutrition 2011;53(5):543-7. [DOI] [PubMed] [Google Scholar]
  2. Burrows T, Warren J, Bau L, Collins C. Impact of a child obesity intervention on dietary intake and behaviors. International Journal of Obesity 2008;32(10):1481-8. [DOI] [PubMed] [Google Scholar]
  3. Collins CE, Okely AD, Morgan PJ, Jones RA, Burrows TL, Cliff DP, et al. Parent diet modification, child activity, or both in obese children: an RCT. Pediatrics 2011;127(4):619-27. [DOI] [PubMed] [Google Scholar]

Condrasky 2006 {published data only}

  1. Condrasky M, Graham K, Kamp J. Cooking with a chef: an innovative program to improve mealtime practices and eating behaviors of caregivers of preschool children. Journal of Nutrition Education and Behavior 2006;38(5):324-5. [DOI] [PubMed] [Google Scholar]

Cooper 2011 {published data only}

  1. Cooper N, Jones C. Improving the quality of packed lunches in primary school children. Journal of Human Nutrition & Dietetics 2011;24:384-5. [Google Scholar]

Cooper 2019 {published data only}

  1. Cooper CC. Nutrition Notes to Go. UMass Extension Nutrition Education Program. Curriculum. Journal of Nutrition Education and Behavior 2019;51(8):1032-3. [Google Scholar]

Cooperberg 2014 {published data only}

  1. Cooperberg J. Food for Thought: a parental internet-based intervention to treat childhood obesity in preschool-aged children. Dissertation Abstracts International: Section B: The Sciences and Engineering 2014;74.

Copeland 2010 {published data only}

  1. Copeland AL, Williamson DA, Kendzor DE, Businelle MS, Rash CJ, Kulesza M, et al. A school-based alcohol, tobacco, and drug prevention program for children: The Wise Mind study. Cognitive Therapy and Research 2010;34:522-32. [Google Scholar]

Coppinger 2016 {published data only}

  1. Coppinger T, Lacey S, O'Neill C, Burns C. 'Project Spraoi': a randomized control trial to improve nutrition and physical activity in school children. Contemporary Clinical Trials Communications 2016;3:94-101. [DOI] [PMC free article] [PubMed] [Google Scholar]

Corsini 2013 {published data only}

  1. Corsini N, Slater A, Harrison A, Cooke L, Cox DN. Rewards can be used effectively with repeated exposure to increase liking of vegetables in 4-6-year-old children. Public Health Nutrition 2013;16(5):942-51. [DOI] [PMC free article] [PubMed] [Google Scholar]

Cotwright 2017a {published data only}

  1. Cotwright C, Bales D, Lee JS, Akin J. Taste & See: improving willingness to try fruit and vegetables among low-income preschool children. Journal of Nutrition Education and Behavior 2017;49(7):S2.
  2. Cotwright CJ, Bales DW, Lee JS, Parrott K, Celestin N, Olubajo B. Like peas and carrots: combining wellness policy implementation with classroom education for obesity prevention in the childcare setting. Public Health Reports 2015;132(Suppl 2):74S-80S. [DOI] [PMC free article] [PubMed] [Google Scholar]

Cotwright 2017b {published data only}

  1. Cotwright C, Celestin N, Delane J, Holcomb D, Motoyasu N, Dupree D. The use of entertainment education to teach nutrition messages to preschool children: a feasibility study. Journal of Nutrition Education and Behavior 2017;49(7):S93. [Google Scholar]

Coulthard 2018 {published data only}

  1. Coulthard H, Williamson I, Palfreyman Z, Lyttle S. Evaluation of a pilot sensory play intervention to increase fruit acceptance in preschool children. Appetite 2018;120:609-15. [DOI] [PubMed] [Google Scholar]

Court 1977 {published data only}

  1. Court JM. Obesity in childhood. The Medical Journal of Australia 1977;1(24):888-91. [DOI] [PubMed] [Google Scholar]

Crespo 2012 {published data only}

  1. Crespo NC, Elder JP, Ayala GX, Slymen DJ, Campbell NR, Sallis JF, et al. Results of a multi-level intervention to prevent and control childhood obesity among Latino children: the Aventuras Para Niños Study. Annals of Behavioral Medicine 2012;43(1):84-100. [DOI] [PMC free article] [PubMed] [Google Scholar]

Croker 2012 {published data only}

  1. Croker H, Lucas R, Wardle J. Cluster-randomised trial to evaluate the 'Change for Life' mass media/ social marketing campaign in the UK. BMC Public Health 2012;12:404. [DOI] [PMC free article] [PubMed] [Google Scholar]

Cruz 2014 {published data only}

  1. Cruz TH, Davis SM, FitzGerald CA, Canaca GF, Keane PC. Engagement, recruitment, and retention in a trans-community, randomized controlled trial for the prevention of obesity in rural American Indian and Hispanic children. Journal of Primary Prevention 2014;35(3):135-49. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Davis SM, Sanders SG, FitzGerald CA, Keane PC, Canaca GF, Volker-Rector R. CHILE: an evidence-based preschool intervention for obesity prevention in Head Start. Journal of School Health 2013;83(3):223-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Keane PC, Davis SM, Myers OB, Wold RS. Effect of an obesity prevention intervention on fruit, vegetable and whole grain intake in American Indian and Hispanic preschoolers. FASEB journal 2011;25:No pagination. [Google Scholar]

Cullen 2013 {published data only}

  1. Cullen KW, Dave JM, Chen A, Elliott L, Walker F, Jensen H. Implementing the new school meal regulations: do elementary school children select and eat 1 fruit and 2 vegetable servings when allowed? Journal of the Academy of Nutrition and Dietetics 2013;113(9):A11. [Google Scholar]

Cullen 2015 {published data only}

  1. Cullen KW, Chen TA, Dave JM, Jensen H. Differential improvements in student fruit and vegetable selection and consumption in response to the new national school lunch program regulations: a pilot study. Journal of the Academy of Nutrition and Dietetics 2015;115(5):743-50. [DOI] [PMC free article] [PubMed]

Curtis 2012 {published data only}

  1. Curtis PJ, Adamson AJ, Mathers JC. Effects on nutrient intake of a family-based intervention to promote increased consumption of low-fat starchy foods through education, cooking skills and personalised goal setting: the Family Food and Health Project. British Journal of Nutrition 2012;107(12):1833-44. [DOI] [PubMed] [Google Scholar]

Dai 2015 {published data only}

  1. Dai C-L. Evaluation of an afterschool obesity prevention program: Children's Healthy Eating and Exercise Program. Dissertation Abstracts International Section A: Humanities and Social Sciences 2015;76(2-A(E)).

Dalton 2011 {published data only}

  1. Dalton WT, Schetzina KE, Holt N, Fulton-Robinson H, Ho AL, Tudiver F, et al. Parent-led activity and nutrition (plan) for healthy living: design and methods. Contemporary Clinical Trials 2011;32(6):882-92. [DOI] [PMC free article] [PubMed] [Google Scholar]

Dannefer 2017 {published data only}

  1. Dannefer R, Power L, Berger R, Sacks R, Roberts C, Bikoff R, et al. Process evaluation of a farm-to-preschool program in New York City. Journal of Hunger & Environmental Nutrition 2018;13(3):396-414. [Google Scholar]

Davis 2019 {published data only}

  1. Davis J, Nikah K, Asigbee FM, Landry MJ, Vandyousefi S, Ghaddar R, et al. Design and participant characteristics of TX sprouts: A school-based cluster randomized gardening, nutrition, and cooking intervention. Contemporary Clinical Trials 2019;85:No pagination. [DOI] [PMC free article] [PubMed] [Google Scholar]

Davoli 2013 {published data only}

  1. Davoli AM, Broccoli S, Bonvicini L, Fabbri A, Ferrari E, D'Angelo S, et al. Pediatrician-led motivational interviewing to treat overweight children: an RCT. Pediatrics 2013;132(5):e1236-46. [DOI] [PubMed]

Day 2008 {published data only}

  1. Day ME, Strange KS, McKay HA, Naylor P. Action schools! BC--Healthy Eating: effects of a whole-school model to modifying eating behaviours of elementary school children. Canadian Journal of Public Health 2008;99(4):328-31. [DOI] [PMC free article] [PubMed] [Google Scholar]

Dazeley 2015 {published data only}

  1. Dazeley P, Houston-Price C. Exposure to foods' non-taste sensory properties. A nursery intervention to increase children's willingness to try fruit and vegetables. Appetite 2015;84:1-6. [DOI] [PubMed] [Google Scholar]

De Bourdeaudhuij 2015 {published data only}

  1. Arvidsson L, Bogl LH, Eiben G, Hebestreit A, Nagy P, Tornaritis M, et al. Fat, sugar and water intakes among families from the IDEFICS intervention and control groups: first observations from i.family. Obesity Reviews 2015;16:127-37. [DOI] [PubMed]
  2. Bammann K, Peplies J, Sjostrom M, Lissner L, De Henauw S, Galli C, et al. Assessment of diet, physical activity and biological, social and environmental factors in a multi-centre European project on diet- and lifestyle-related disorders in children (IDEFICS). Journal of Public Health 2006;14:279-89. [Google Scholar]
  3. De Bourdeaudhuij I, Verbestel V, De Henauw S, Maes L, Huybrechts I, Marild S, et al. Behavioural effects of a community-oriented setting-based intervention for prevention of childhood obesity in eight European countries. Main results from the IDEFICS study. Obesity Reviews 2015;16 Suppl 2:30-40. [DOI] [PubMed] [Google Scholar]
  4. Verbestel V, De Henauw S, Maes L, Haerens L, Mårild S, Eiben G, et al. Using the intervention mapping protocol to develop a community-based intervention for the prevention of childhood obesity in a multi-centre European project: the IDEFICS intervention. International Journal of Behavioral Nutrition & Physical Activity 2011;8:82. [DOI] [PMC free article] [PubMed] [Google Scholar]

De Droog 2011 {published data only}

  1. De Droog SM, Valkenburg PM, Buijzen M. Using brand characters to promote young children's liking of and purchase requests for fruit. Journal of Health Communication 2011;16(1):79-89. [DOI] [PubMed] [Google Scholar]

De Droog 2012 {published data only}

  1. De Droog SM, Buijzen M, Valkenburg PM. Use a rabbit or a rhino to sell a carrot? The effect of character-product congruence on children's liking of healthy foods. Journal of Health Communication 2012;17(9):1068-80. [DOI] [PubMed] [Google Scholar]

de la Haye 2019a {published data only}

  1. la Haye K, Bell BM, Salvy SJ. The role of maternal social networks on the outcomes of a home-based childhood obesity prevention pilot intervention. Journal of Social Structure 2019;20(3):7-28. [DOI] [PMC free article] [PubMed] [Google Scholar]

de la Haye 2019b {published data only}

  1. la Haye K, Fluke M, Laney PC, Goran M, Galama T, Chou CP, et al. In-home obesity prevention in low-income infants through maternal and social transmission. Contemporary Clinical Trials 2019;77:61-9. [DOI] [PMC free article] [PubMed] [Google Scholar]

Delgado 2014 {published data only}

  1. Delgado EG, De Cosso TG, Aragons AC, Pelletier D, Quezada AD, Ramrez SR. Effect of a food aid program on BMI/A of Mexican children, mediated by diet. FASEB Journal 2014;1.

De Pee 1998 {published data only}

  1. De Pee S, Bloem MW, Satoto, Yip R, Sukaton A, Tjiong R, et al. Impact of a social marketing campaign promoting dark-green leafy vegetables and eggs in Central Java, Indonesia. International Journal of Vitamin and Nutrient Research 1998;68(6):389-98. [PubMed] [Google Scholar]

De Silva‐Sanigorski 2010 {published data only}

  1. De Silva-Sanigorski AM, Bell AC, Kremer P, Nichols M, Crellin M, Smith M, et al. Reducing obesity in early childhood: results from Romp & Chomp, an Australian community-wide intervention program. American Journal of Clinical Nutrition 2010;91:831-40. [DOI] [PubMed] [Google Scholar]

Dev 2018 {published data only}

  1. Dev D. Ecological approach to family style dining: a responsive feeding program for child care providers for improving children's dietary intake. Journal of Nutrition Education and Behavior 2018;50(7):S156-7. [Google Scholar]

Dick 2016 {published data only}

  1. Dick L. Sowing seeds for healthy kids. Journal of Nutrition Education and Behavior 2016;48(5):358. [Google Scholar]

Dollahite 2014 {published data only}

  1. Dollahite JS, Pijai EI, Scott-Pierce M, Parker C, Trochim W. A randomized controlled trial of a community-based nutrition education program for low-income parents. Journal of Nutrition Education and Behavior 2014;46(2):102-9. [DOI] [PubMed] [Google Scholar]

Dorado 2015 {published data only}

  1. Dorado J, Azana G, Viajar R, Capanzana M. Improving nutrition knowledge, attitude and behavior of selected Filipino schoolchildren in the Healthy Kids Program. Journal of Nutrition Education and Behavior 2015;47(4):S6-7. [Google Scholar]

Draper 2010 {published data only}

  1. Draper CE, De Villiers A, Lambert EV, Fourie J, Hill J, Dalais L, et al. HealthKick: a nutrition and physical activity intervention for primary schools in low-income settings. BMC Public Health 2010;10:398. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Uys M, Draper CE, Hendricks S, De Villiers A, Fourie J, Steyn NP, et al. Impact of a South African school-based Intervention, HealthKick, on fitness correlates. American Journal of Health Behavior 2016;40(1):55-66. [DOI] [PubMed] [Google Scholar]

Duke 2011 {published data only}

  1. Duke T. Randomised trials in child health in developing countries 2011. Annals of Tropical Paediatrics 2011;31(4):283-5. [DOI] [PubMed] [Google Scholar]

Dumas 2019 {published data only}

  1. Dumas AA, Lemieux S, Lapointe A, Provencher V, Robitaille J, Desroches S. Development of an evidence-informed blog to promote healthy eating among mothers: use of the intervention mapping protocol. JMIR Research Protocols 2017;6(5):e92. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Dumas AA, Lemieux S, Lapointe A, Provencher V, Robitaille J, Desroches S. Effects of an evidence-informed healthy eating blog on dietary intakes and food-related behaviors of mothers of preschool- and school-aged children: a randomized controlled trial. Journal of the Academy of Nutrition & Dietetics 2019;10(10). [DOI] [PubMed]

Dunn 2004 {published data only}

  1. Dunn C, Thomas C, Pegram L, Ward D, Schmal S. Color me healthy, preschoolers moving and eating healthfully. Journal of Nutrition Education and Behavior 2004;36(6):327-8. [DOI] [PubMed] [Google Scholar]
  2. Dunn C, Thomas C, Ward D, Pegram L, Webber K, Cullitan C. Design and implementation of a nutrition and physical activity curriculum for child care settings. Preventing Chronic Disease 2006;3:A58. [PMC free article] [PubMed] [Google Scholar]

Early 2019 {published data only}

  1. Early GJ, Cheffer ND. Motivational interviewing and home visits to improve health behaviors and reduce childhood obesity: a pilot study. Hispanic Health Care International 2019;17(3):103-10. [DOI] [PubMed] [Google Scholar]

Eicholzer‐Helbling 1986 {published data only}

  1. Eicholzer-Helbling M, Ritzel G, Ackermann-Liebrich U, Bachlin A, Muhlemann R. Nutrition education in kindergarten: results of an intervention study [Ernahrungserziehung im kindergarten: resultate einer interventionsstudie]. Sozial- und Praventivmedizin 1986;31(4-5):233-5. [DOI] [PubMed] [Google Scholar]

Elder 2014 {published data only}

  1. Elder JP, Crespo NC, Corder K, Ayala GX, Slymen DJ, Lopez NV, et al. Childhood obesity prevention and control in city recreation centres and family homes: the MOVE/me Muevo Project. Pediatric Obesity 2014;9(3):218-31. [DOI] [PMC free article] [PubMed] [Google Scholar]

Elizondo‐Montemayor 2014 {published data only}

  1. Elizondo-Montemayor L, Moreno-Sanchez D, Gutierrez NG, Monsivais-Rodriguez F, Martinez U, Lamadrid-Zertuche AC, et al. Individualized tailor-made dietetic intervention program at schools enhances eating behaviors and dietary habits in obese Hispanic children of low socioeconomic status. Scientific World Journal 2014;2014:484905. [DOI] [PMC free article] [PubMed] [Google Scholar]

Epstein 2001 {published data only}

  1. Epstein LH, Gordy CC, Raynor HA, Beddome M, Kilanowski CK, Paluch R. Increasing fruit and vegetable intake and decreasing fat and sugar intake in families at risk for childhood obesity. Obesity Research 2001;9(3):171-8. [DOI] [PubMed] [Google Scholar]

Esfarjani 2013 {published data only}

  1. Esfarjani F, Khalafi M, Mohammadi F, Mansour A, Roustaee R, Zamani-Nour N, et al. Family-based intervention for controlling childhood obesity: an experience among Iranian children. International Journal of Preventive Medicine 2013;4(3):358-65. [PMC free article] [PubMed] [Google Scholar]

Esquivel 2016 {published data only}

  1. Esquivel M, Nigg CR, Fialkowski MK, Braun KL, Li F, Novotny R. Head Start wellness policy intervention in Hawaii: a project of the Children's Healthy Living Program. Childhood Obesity 2016;12(1):26-32. [DOI] [PubMed] [Google Scholar]

Estabrooks 2009 {published data only}

  1. Estabrooks PA, Shoup JA, Gattshall M, Dandamudi P, Shetterly S, Xu S. Automated telephone counseling for parents of overweight children. A randomized controlled trial. American Journal of Preventive Medicine 2009;36(1):35-42. [DOI] [PubMed] [Google Scholar]

Evans 2005 {published data only}

  1. Evans AE, Dave J, Tanner A, Duhe S, Condrasky M, Wilson D, et al. Changing the home nutrition environment. Effects of a nutrition and media literacy pilot intervention. Family and Community Health 2005;29(1):43-54. [DOI] [PubMed] [Google Scholar]

Evans 2011 {published data only}

  1. Evans WD, Christoffel KK, Necheles J, Becker AB, Snider J. Outcomes of the 5-4-3-2-1 Go! Childhood obesity community trial. American Journal of Health Behavior 2011;35(2):189-98. [DOI] [PubMed] [Google Scholar]
  2. Evans WD, Wallace J, Snider J. The 5-4-3-2-1 go! Brand to promote nutrition and physical activity: a case of positive behavior change but negative change in beliefs. Journal of Health Communication 2015;20(5):512-20. [DOI] [PubMed] [Google Scholar]

Evans 2016 {published data only}

  1. Evans A, Ranjit N, Hoelscher D, Jovanovic C, Lopez M, McIntosh A, et al. Impact of school-based vegetable garden and physical activity coordinated health interventions on weight status and weight-related behaviors of ethnically diverse, low-income students: study design and baseline data of the Texas, Grow! Eat! Go! (TGEG) cluster-randomized controlled trial. BMC Public Health 2016;16:973. [DOI] [PMC free article] [PubMed]

Evenson 2016 {published data only}

  1. Evenson A, Pulvermacher A, Anderson M. Acceptability of different squash variety recipes to increase red-orange vegetable consumption. Journal of the Academy of Nutrition and Dietetics 2016;116(9):A42. [Google Scholar]

Faber 2002 {published data only}

  1. Faber M, Phungula MAS, Venter SL, Dhansay MA, Spinnler Benade AJ. Home gardens focusing on the production of yellow and dark-green leafy vegetables increases the serum retinol concentrations of 2-5-y-old children in South Africa. American Journal of Clinical Nutrition 2002;76(5):1048-54. [DOI] [PubMed] [Google Scholar]

Faith 2006 {published data only}

  1. Faith MS, Rose E, Matz PE, Pietrobelli A, Epstein LH. Co-twin control designs for testing behavioral economic theories of child nutrition: methodological note. International Journal of Obesity 2006;30(10):1501-5. [DOI] [PubMed] [Google Scholar]

Fangupo 2015 {published data only}

  1. Fangupo LJ, Heath AL, Williams SM, Somerville MR, Lawrence JA, Gray AR, et al. Impact of an early-life intervention on the nutrition behaviors of 2-y-old children: a randomized controlled trial. American Journal of Clinical Nutrition 2015;102(3):704-12. [DOI] [PubMed] [Google Scholar]

Fernandes 2011 {published data only}

  1. Fernandes T. Healthy eating. Nursing Standard 2011;25:58. [Google Scholar]

Fernández‐Alvira 2013 {published data only}

  1. Fernández-Alvira JM, De Bourdeaudhuij I, Singh AS, Vik FN, Manios Y, Kovacs E, et al. Clustering of energy balance-related behaviors and parental education in European children: the ENERGY-project. International Journal of Behavioral Nutrition & Physical Activity 2013;10:5-14. [DOI] [PMC free article] [PubMed] [Google Scholar]

Fernando 2018 {published data only}

  1. Fernando NN, Campbell KJ, McNaughton SA, Zheng MB, Lacy KE. Predictors of dietary energy density among preschool aged children. Nutrients 2018;10(2):17. [DOI] [PMC free article] [PubMed] [Google Scholar]

Ferrante 2018 {published data only}

  1. Ferrante M, Miller J, Johnson SL, Bellows LL. Improving vegetable intake among children in restaurants: the Healthy Bites pilot study. Journal of Nutrition Education and Behavior 2018;50(7):S77-8. [Google Scholar]

Ferrante 2019 {published data only}

  1. Ferrante MJ, Johnson SL, Miller J, Moding KJ, Bellows LL. Does a vegetable-first, optimal default strategy improve children's vegetable intake? A restaurant-based study. Food Quality and Preference 2019;74:112-7. [Google Scholar]

Ferreira 2019 {published data only}

  1. Ferreira VR, Sangalli CN, Leffa PS, Rauber F, Vitolo MR. The impact of a primary health care intervention on infant feeding practices: a cluster randomised controlled trial in Brazil. Journal of Human Nutrition and Dietetics 2019;32(1):21-30. [DOI] [PubMed] [Google Scholar]

Fialkowski 2013 {published data only}

  1. Fialkowski MK, DeBaryshe B, Bersamin A, Nigg C, Leon Guerrero R, Rojas G, et al. A community engagement process identifies environmental priorities to prevent early childhood obesity: the Children's Healthy Living (CHL) program for remote underserved populations in the US Affiliated Pacific Islands, Hawaii and Alaska. Maternal and Child Health Journal 2013;18(10):2261-74. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Novotny R, Areta A, Bersamin A, Deenik J, Kim JH, Leon-Guerrero R. Children's Healthy Living program (CHL) for remote underserved minority populations of the Pacific region. Journal of Nutrition Education and Behavior 2014;46(4 Supplement):S196-7. [Google Scholar]
  3. Novotny R, Wilkens LR, Nigg CR, Braun K, Butel J, Areta A, et al. Effectiveness of the Children's Healthy Living (CHL) multilevel multicomponent community intervention program in 5 US affiliated Pacific jurisdictions. FASEB journal 2017;31:No pagination. [Google Scholar]

Fisher 2007 {published data only}

  1. Fisher JO, Arreola A, Birch LL, Rolls BJ. Portion size effects on daily energy intake in low-income Hispanic and African American children and their mothers. American Journal of Clinical Nutrition 2007;86(6):1709-16. [DOI] [PubMed] [Google Scholar]

Fisher 2013 {published data only}

  1. Fisher JO, Birch LL, Zhang J, Grusak MA, Hughes SO. External influences on children's self-served portions at meals. International Journal of Obesity 2013;37(7):954-60. [DOI] [PubMed] [Google Scholar]

Fisher 2014 {published data only}

  1. Fisher M, Fiese B. Implementation of the Sprouts Growing Healthy Habits Curriculum in preschool and kindergarten classrooms: is it feasible? Journal of Nutrition Education and Behavior 2014;46(4 Supplement):S143. [Google Scholar]

Fishman 2016 {published data only}

  1. Fishman L. Don't be duped by these fruit & veggie fakes. Journal of Nutrition Education and Behavior 2016;48(2):158.e5. [Google Scholar]

Fitzgibbon 2002 {published data only}

  1. Fitzgibbon ML, Stolley MR, Dyer AR, VanHorn L, Kaufer Christoffel K. A community-based obesity prevention program for minority children: rationale and study design for Hip-Hop to Health Jr. Preventive Medicine 2002;34:289-97. [DOI] [PubMed] [Google Scholar]

Fitzpatrick 1997 {published data only}

  1. Fitzpatrick P, Molloy B, Johnson Z. Community mothers' programme: extension to the travelling community in Ireland. Journal of Epidemiology & Community Health 1997;51(3):299-303. [DOI] [PMC free article] [PubMed] [Google Scholar]

Fletcher 2009 {published data only}

  1. Fletcher A, Cooper JR, Helms P, Northington L, Winter K. Stemming the tide of childhood obesity in an underserved urban African American population: a pilot study. The ABNF Journal 2009;20(2):44. [PubMed] [Google Scholar]

Foerster 1998 {published data only}

  1. Foerster SB, Gregson J, Beall DL, Hudes M, Magnuson H, Livingston S, et al. The California Children's 5 a day- power play! campaign: evaluation of a large-scale social marketing initiative. Family and Community Health 1998;21(1):46-64. [Google Scholar]

Folta 2006 {published data only}

  1. Folta SC, Goldberg JP, Economos C, Bell R, Landers S, Hyatt R. Assessing the use of school public address systems to deliver nutrition messages to children: Shape Up Somerville - audio adventures. Journal of School Health 2006;76(9):459-64. [DOI] [PubMed] [Google Scholar]
  2. Goldberg JP, Collins JJ, Folta SC, McLarney MJ, Kozower C, Kuder J, et al. Retooling food service for early elementary school students in Somerville, Massachusetts: The Shape Up Somerville experience. Preventing Chronic Disease 2009;6(3):1-8. [PMC free article] [PubMed] [Google Scholar]

Fortin‐Miller 2019 {published data only}

  1. Fortin-Miller SA. The Effect of the Community Food Environment on Family Child Care Home Meal Quality [Dissertation]. Oklahoma, USA: The University of Oklahoma Health Sciences Center, 2019. [Google Scholar]

Fournet 2014 {published data only}

  1. Fournet RM. Teaching gardening and food choices to children living in a food desert... 2014 Food & Nutrition Conference & Expo, October 18-21, 2014, Atlanta, GA. Journal of the Academy of Nutrition & Dietetics 2014;114:A88. [Google Scholar]

Freedman 2010 {published data only}

  1. Freedman MR, Alvarez KP. Early childhood feeding: assessing knowledge, attitude, and practices of multi-ethnic child-care providers. Journal of the American Dietetic Association 2010;110(3):447-51. [DOI] [PubMed] [Google Scholar]

French 2012 {published data only}

  1. French GM, Nicholson L, Skybo T, Klein EG, Schwirian PM, Murray-Johnson L, et al. An evaluation of mother-centered anticipatory guidance to reduce obesogenic infant feeding behaviors. Pediatrics 2012;130(3):e507-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Groner JA, Skybo T, Murray-Johnson L, Schwirian P, Eneli I, Sternstein A, et al. Anticipatory guidance for prevention of childhood obesity: design of the MOMS Project. Clinical Pediatrics 2009;48(5):483-92. [DOI] [PMC free article] [PubMed] [Google Scholar]

French 2017 {published data only}

  1. French SA, Rydell SA, Mitchell NR, Michael OJ, Elbel B, Harnack L. Financial incentives and purchase restrictions in a food benefit program affect the types of foods and beverages purchased: results from a randomized trial. International Journal of Behavioral Nutrition and Physical Activity 2017;14(1):127. [DOI] [PMC free article] [PubMed] [Google Scholar]

Frenn 2013 {published data only}

  1. Frenn M, Pruszynski JE, Felzer H, Zhang J. Authoritative feeding behaviors to reduce child BMI through online interventions. Journal for Specialists in Pediatric Nursing 2013;18(1):65-77. [DOI] [PubMed] [Google Scholar]

Friedl 2014 {published data only}

  1. Friedl KE, Rowe S, Bellows LL, Johnson SL, Hetherington MM, De Froidmont-Görtz I, et al. Report of an EU-US Symposium on understanding nutrition-related consumer behavior: strategies to promote a lifetime of healthy food choices. Journal of Nutrition Education & Behavior 2014;46(5):445-50. [DOI] [PMC free article] [PubMed] [Google Scholar]

Friend 2015a {published data only}

  1. Friend S, Fulkerson J, Flattum C, Horning M, Olson C, Barlow T, et al. Cooking with kids in rural Minnesota: family meals and interest in family-focused, community-based, healthful-eating programs. Journal of Nutrition Education and Behavior 2015;47(4):S9. [Google Scholar]

Friend 2015b {published data only}

  1. Draxten M, Fulkerson JA, Friend S, Flattum CF, Schow R. Parental role modeling of fruits and vegetables at meals and snacks is associated with children's adequate consumption. Appetite 2014;78:1-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Friend S, Fulkerson JA, Neumark-Sztainer D, Garwick A, Flattum CF, Draxten M. Comparing childhood meal frequency to current meal frequency, routines, and expectations among parents. Journal of Family Psychology 2015;29(1):136-40. [DOI] [PMC free article] [PubMed]

Gaglianone 2006 {published data only}

  1. Gaglianone CP, De Aguiar Carrazedo Taddei JA, Colugnati Fernando AB, Góes Magalhães C, Mochi Davanço G, De Macedo L, et al. Nutrition education in public elementary schools of São Paulo, Brazil: the Reducing Risks of Illness and Death in Adulthood project. Revista de Nutrição 2006;19:309-20. [Google Scholar]

Galdamez 2017 {published data only}

  1. Galdamez I, Cuthbertson C, Aguilar A. Culturally relevant nutrition education for migrant Head Start parents 2016. Journal of Nutrition Education and Behavior 2017;49(7):S49-50. [Google Scholar]

Gallo 2017 {published data only}

  1. Gallo S, Kohn Rhoades S, De Jonge L, Canales J, Sanchez K. Childhood Health, Education, & Wellness (CHEW): a pilot trial for an individualized, family-centered and culturally adapted program targeting childhood obesity among Latino children. Journal of the Academy of Nutrition and Dietetics 2017;117(9):A19.

Gallotta 2016 {published data only}

  1. Gallotta MC, Iazzoni S, Emerenziani GP, Meucci M, Migliaccio S, Guidetti L, et al. Effects of combined physical education and nutritional programs on schoolchildren's healthy habits. PeerJ 2016;4:e1880. [DOI] [PMC free article] [PubMed] [Google Scholar]

Garcia‐Lascurain 2006 {published data only}

  1. Garcia-Lascurain MC, Kicklighter JR, Jonnalagadda SS, Boudolf EA, Duchon D. Effect of a nutrition education program on nutrition-related knowledge of English-as-second-language elementary school students: a pilot study. Journal of Immigrant and Minority Health 2006;8(1):57-65. [DOI] [PubMed] [Google Scholar]

Garden‐Robinson 2019 {published data only}

  1. Garden-Robinson J. New resources for nutrition educators Handout. Journal of Nutrition Education and Behavior 2019;51(8):1028-9. [Google Scholar]

Gardiner 2017 {published data only}

  1. Gardiner CK, Bryan AD. Monetary incentive interventions can enhance psychological factors related to fruit and vegetable consumption. Annals of Behavioral Medicine 2017;51(4):599-609. [DOI] [PubMed] [Google Scholar]

Gaughan 2016 {published data only}

  1. Gaughan M, Brinckman D. Telephonic health coaching: an innovative method to promote health behavior change among participants in Supplemental Nutrition Assistance Program-Education (SNAP-Ed). Journal of the Academy of Nutrition and Dietetics 2016;116(9):A65. [Google Scholar]

Gay 2019 {published data only}

  1. Gay JL, Saunders RP, Rees-Punia E, Dowda M, Van den Berg AE. Role of organizational support on implementation of an environmental change intervention to improve child fruit and vegetable intake: a randomized cross-over design. Prevention Science 2019;20(8):1211-8. [DOI] [PubMed] [Google Scholar]

Gelli 2016 {published data only}

  1. Gelli A, Masset E, Folson G, Kusi A, Arhinful DK, Asante F, et al. Evaluation of alternative school feeding models on nutrition, education, agriculture and other social outcomes in Ghana: rationale, randomised design and baseline data. Trials 2016;17(1):37. [DOI] [PMC free article] [PubMed] [Google Scholar]

Gelli 2018 {published data only}

  1. Gelli A, Margolies A, Santacroce M, Roschnik N, Twalibu A, Katundu M, et al. Using a community-based early childhood development center as a platform to promote production and consumption diversity increases children's dietary intake and reduces stunting in Malawi: a cluster-randomized trial. Journal of Nutrition 2018;148:1587-97. [DOI] [PMC free article] [PubMed] [Google Scholar]

Gentile 2009 {published data only}

  1. Gentile DA, Welk G, Eisenmann JC, Reimer RA, Walsh DA, Russell DW, et al. Evaluation of a multiple ecological level child obesity prevention program: Switch® what you Do, View, and Chew. BMC Medicine 2009;7:49. [DOI] [PMC free article] [PubMed] [Google Scholar]

Gittelsohn 2010 {published data only}

  1. Gittelsohn J, Vijayadeva V, Davison N, Ramirez V, Cheung LWK, Murphy S, et al. A food store intervention trial improves caregiver psychosocial factors and children's dietary intake in Hawaii. Obesity 2010;18(1):S84-S90. [DOI] [PubMed] [Google Scholar]

Glanz 2012 {published data only}

  1. Glanz K, Hersey J, Cates S, Muth M, Creel D, Nicholls J, et al. Effect of a nutrient rich foods consumer education program: results from the nutrition advice study. Journal of the Academy of Nutrition and Dietetics 2012;112(1):56-63. [DOI] [PubMed] [Google Scholar]

Glasper 2011 {published data only}

  1. Glasper A. Does the media promote healthy nutrition for children? British Journal of Nursing 2011;20(15):940-1. [DOI] [PubMed] [Google Scholar]

Glasson 2012 {published data only}

  1. Glasson C, Chapman K, Gander K, Wilson T, James E. The efficacy of a brief, peer-led nutrition education intervention in increasing fruit and vegetable consumption: a wait-list, community-based randomised controlled trial. Public Health Nutrition 2012;15(7):1318-26. [DOI] [PubMed] [Google Scholar]

Glasson 2013 {published data only}

  1. Glasson C, Chapman K, Wilson T, Gander K, Hughes C, Hudson N, et al. Increased exposure to community-based education and 'below the line' social marketing results in increased fruit and vegetable consumption. Public Health Nutrition 2013;16(11):1961-70. [DOI] [PMC free article] [PubMed]

Golley 2012 {published data only}

  1. Golley RK, Hendrie GA. The impact of replacing regular- with reduced-fat dairy foods on children's wider food intake: secondary analysis of a cluster RCT. European Journal of Clinical Nutrition 2012;66(10):1130-4. [DOI] [PubMed] [Google Scholar]

Gomes 2018 {published data only}

  1. Gomes AI, Barros L, Pereira AI, Roberto MS. Effectiveness of a parental school-based intervention to improve young children's eating patterns: a pilot study. Public Health Nutrition 2018;21(13):2485-96. [DOI] [PMC free article] [PubMed] [Google Scholar]

Goncalves 2018 {published data only}

  1. Goncalves S, Ferreira R, Conceicao EM, Silva C, Machado PP, Boyland E, et al. The impact of exposure to cartoons promoting healthy eating on children's food preferences and choices. Journal of Nutrition Education and Behavior 2018;23:23. [DOI] [PubMed] [Google Scholar]

Gorham 2015 {published data only}

  1. Gorham G, Dulin-Keita A, Risica PM, Mello J, Papandonatos G, Nunn A, et al. Effectiveness of Fresh to You, a discount fresh fruit and vegetable market in low-income neighborhoods, on children's fruit and vegetable consumption, Rhode Island, 2010-2011.[Erratum appears in Prev Chronic Dis. 2015;12:E188; PMID: 26542140]. Preventing Chronic Disease 2015;12:E176. [DOI] [PMC free article] [PubMed] [Google Scholar]

Gosliner 2010 {published data only}

  1. Gosliner WA, James P, Yancey AK, Ritchie L, Studer N, Crawford PB. Impact of a worksite wellness program on the nutrition and physical activity environment of child care centers. American Journal of Health Promotion 2010;24(3):186-9. [DOI] [PubMed] [Google Scholar]

Goto 2012 {published data only}

  1. Goto K. UP23 connecting communities and families through locally grown cultural foods for childhood obesity prevention. Journal of Nutrition Education & Behavior 2012;44:S87. [Google Scholar]

Gottesman 2003 {published data only}

  1. Gottesman MM. Healthy eating and activity together (HEAT): weapons against obesity. Journal of Pediatric Health Care 2003;17(4):210-5. [DOI] [PubMed] [Google Scholar]
  2. Gottesman MM. HEAT: Healthy Eating and Activity Together. American Journal of Nursing 2007;107(2):49-50. [DOI] [PubMed] [Google Scholar]

Graham 2008 {published data only}

  1. Graham D, Appleton S, Rush E, McLennan S, Reed P, Simmons D. Increasing activity and improving nutrition through a schools-based programme: Project Energize. 1. Design, programme, randomisation and evaluation methodology. Public Health Nutrition 2008;11(10):1076-84. [DOI] [PubMed] [Google Scholar]

Granleese 2019 {published data only}

  1. Granleese B. How do you get children to eat vegetables? Guardian 2019:20.

Gratton 2007 {published data only}

  1. Gratton L, Povey R, Clark-Carter D. Promoting children’s fruit and vegetable consumption: interventions using the Theory of Planned Behaviour as a framework. British Journal of Health Psychology 2007;12(Pt 4):639-50. [DOI] [PubMed] [Google Scholar]

Gregori 2014 {published data only}

  1. Gregori D, Vecchio MG, Nikolakis A, Galasso F. Even a very intense advertising promoting fruit consumption is not enough to have children eating more fruit: results from an experimental study in Italy. Obesity Facts 2014;7:176. [Google Scholar]

Gripshover 2013 {published data only}

  1. Gripshover SJ, Markman EM. Teaching young children a theory of nutrition: conceptual change and the potential for increased vegetable consumption. Psychological Science 2013;24:1541-53. [DOI] [PubMed] [Google Scholar]

Grupo de Diarios América 2019a {published data only}

  1. Grupo de Diarios América. Stories and positive messages encourage children to eat more fruits and vegetables. CE Noticias Financieras English 2019.

Grupo de Diarios América 2019b {published data only}

  1. Grupo de Diarios América. Pre-school children snacks will have fruit and vegetables. CE Noticias Financieras English 2019.

Grupo de Diarios América 2019c {published data only}

  1. Grupo de Diarios América. Five tips for children to eat vegetables. CE Noticias Financieras English 2019.

Gucciardi 2019 {published data only}

  1. Gucciardi E, Robyn NR, Szwiega S, Yan BY, Butler A. Evaluation of a sensory-based food education program on fruit and vegetable consumption among kindergarten children. Journal of Child Nutrition & Management (Online) 2019;43(1):n1. [Google Scholar]

Guenther 2014 {published data only}

  1. Guenther DC. Nutrition education and scratch cooking changes in schools: a mixed methods study of interventions in Aurora public schools. Dissertation Abstracts International: Section B: The Sciences and Engineering 2014;74.

Guilfoyle 2019 {published data only}

  1. Guilfoyle C. How to get even fussy children to eat their vegetables. Sunday Telegraph 2019:89.

Guldan 2000 {published data only}

  1. Guldan GS, Fan HC, Ma X, Ni ZZ, Xiang X, Tang MZ. Culturally appropriate nutrition education improves infant feeding and growth in rural Sichuan, China. The Journal of Nutrition 2000;130(5):1204-11. [DOI] [PubMed]

Guo 2015 {published data only}

  1. Guo H, Zeng X, Zhuang Q, Zheng Y, Chen S. Intervention of childhood and adolescents obesity in Shantou city. Obesity Research & Clinical Practice 2015;9(4):357-64. [DOI] [PubMed] [Google Scholar]

Haines 2016 {published data only}

  1. Haines J, Rifas-Shiman SL, Gross D, McDonald J, Kleinman K, Gillman MW. Randomized trial of a prevention intervention that embeds weight-related messages within a general parenting program. Obesity 2016;24(1):191-9. [DOI] [PMC free article] [PubMed] [Google Scholar]

Haines 2018 {published data only}

  1. Haines J, Douglas S, Mirotta JA, O'Kane C, Breau R, Walton K, et al. Guelph Family Health Study: pilot study of a home-based obesity prevention intervention. Canadian Journal of Public Health. Revue Canadienne de Sante Publique 2018;25:25. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Mirotta JA, Darlington GA, Buchholz AC, Haines J, Ma DW, Duncan AM, et al. Guelph Family Health Study's home-based obesity prevention intervention increases fibre and fruit intake in preschool-aged children. Canadian Journal of Dietetic Practice & Research 2018;79(2):86-90. [DOI] [PubMed] [Google Scholar]

Hambleton 2004 {published data only}

  1. Hambleton H. Fit 4 Fun. Community Practitioner 2004;77(10):367-8. [Google Scholar]

Hammersley 2017 {published data only}

  1. Hammersley ML, Jones RA, Okely AD. Time2bHealthy - an online childhood obesity prevention program for preschool-aged children: a randomised controlled trial protocol. Contemporary Clinical Trials 2017;61:73-80. [DOI] [PubMed]

Hammons 2013 {published data only}

  1. Hammons AJ, Wiley AR, Fiese BH, Teran-Garcia M. Six-week Latino family prevention pilot program effectively promotes healthy behaviors and reduces obesogenic behaviors. Journal of Nutrition Education & Behavior 2013;45(6):745-50. [DOI] [PubMed] [Google Scholar]

Hancocks 2011 {published data only}

  1. Hancocks S. Suffer the little children. British Dental Journal 2011;210(8):341. [DOI] [PubMed] [Google Scholar]

Hanks 2016 {published data only}

  1. Hanks AS, Just DR, Brumberg A. Marketing vegetables in elementary school cafeterias to increase uptake. Pediatrics 2016;138(2):e20151720. [DOI] [PubMed] [Google Scholar]

Hannon 2017 {published data only}

  1. Hannon B, Villegas E, Luna V, Wiley A, Teran-Garcia M. Healthy eating is a family affair: family-focused nutrition education intervention improves child eating habits. Journal of the Academy of Nutrition and Dietetics 2017;117(9):A25. [Google Scholar]

Hansen 2016 {published data only}

  1. Hansen A, King M, Cabe J, Pleasant A, Lucero-Liu A, Schultz J, et al. Using health literacy and hands-on cooking to improve healthy nutrition behaviors. Journal of the Academy of Nutrition and Dietetics 2016;116(9):A35. [Google Scholar]

Hanson 2017 {published data only}

  1. Hanson KL, Kolodinsky J, Wang W, Morgan EH, Jilcott P, Ammerman SB, et al. Adults and children in low-income households that participate in cost-offset community supported agriculture have high fruit and vegetable consumption. Nutrients 2017;9(7):726. [DOI] [PMC free article] [PubMed]

Hardy 2010a {published data only}

  1. Hardy LL, King L, Kelly B, Farrell L, Howlett S. Munch and Move: evaluation of a preschool healthy eating and movement skill program. International Journal of Behavioral Nutrition and Physical Activity 2010;7:80. [DOI] [PMC free article] [PubMed] [Google Scholar]

Hardy 2010b {published data only}

  1. Hardy S, Lowe A, Unadkat A, Thurtle V. Mini-MEND: an obesity prevention initiative in a children's centre. Community Practitioner 2010;83(6):26-9. [PubMed] [Google Scholar]

Hare 2012 {published data only}

  1. Hare ME, Coday M, Williams NA, Richey PA, Tylavsky FA, Bush AJ. Methods and baseline characteristics of a randomized trial treating early childhood obesity: the Positive Lifestyles for Active Youngsters (Team PLAY) trial. Contemporary Clinical Trials 2012;33(3):534-49. [DOI] [PMC free article] [PubMed] [Google Scholar]

Haroun 2011 {published data only}

  1. Haroun D, Wood L, Harper C, Nelson M. Nutrient-based standards for school lunches complement food-based standards and improve pupils' nutrient intake profile. British Journal of Nutrition 2011;106(4):472-4. [DOI] [PubMed] [Google Scholar]

Harris 2011 {published data only}

  1. Harris JL, Schwartz MB, Ustjanauskas A, Ohri-Vachaspati P, Brownell KD. Effects of serving high-sugar cereals on children's breakfast-eating behavior. Pediatrics 2011;127(1):71-6. [DOI] [PubMed]

Hart 2016 {published data only}

  1. Hart LM, Damiano SR, Li-Wai-Suen CS, Paxton SJ. Confident body, confident child: evaluation of a universal parenting resource promoting healthy body image and eating patterns in early childhood-6- and 12-month outcomes from a randomized controlled trial. International Journal of Eating Disorders 2019;12:12. [DOI] [PubMed] [Google Scholar]
  2. Hart LM, Damiano SR, Paxton SJ. Confident body, confident child: a randomized controlled trial evaluation of a parenting resource for promoting healthy body image and eating patterns in 2- to 6-year old children. International Journal of Eating Disorders 2016;49(5):458-72. [DOI] [PubMed] [Google Scholar]

Harvey‐Berino 2003 {published data only}

  1. Harvey-Berino J, Rourke J. Obesity prevention in preschool native-American children: a pilot study using home visiting. Obesity Research 2003;11(5):606-11. [DOI] [PubMed] [Google Scholar]

Havas 1997 {published data only}

  1. Havas S, Damron D, Treiman K, Anliker J, Langenberg P, Hammad TA, et al. The Maryland WIC 5 A Day Promotion Program Pilot Study: rationale, results, and lessons learned. Journal of Nutrition Education 1997;29(6):343-50. [Google Scholar]

Havermans 2007 {published data only}

  1. Havermans RC, Jansen A. Increasing children's liking of vegetables through flavour-flavour learning. Appetite 2007;48(2):259-62. [DOI] [PubMed] [Google Scholar]

Hawkins 2019 {published data only}

  1. Hawkins KR, Apolzan JW, Staiano AE, Shanley JR, Martin CK. Efficacy of a home-based parent training-focused weight management intervention for preschool children: the DRIVE randomized controlled pilot trial. Journal of Nutrition Education and Behavior 2019;51(6):740-8. [DOI] [PMC free article] [PubMed] [Google Scholar]

Heath 2010 {published data only}

  1. Heath PM, Houston-Price C, Kennedy OB. Can visual exposure impact on children's visual preferences for fruit and vegetables? Proceedings of the Nutrition Society 2010;69.

Heerman 2019 {published data only}

  1. Heerman WJ, Cole J, Teeters L, Lane T, Burgess LE, Escarfuller J, et al. Qualitative analysis of COACH: A community-based behavioral intervention to reduce obesity health disparities within a marginalized community. Contemporary Clinical Trials Communications 2019;16:100452. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Heerman WJ, Teeters L, Sommer EC, Burgess LE, Escarfuller J, Van Wyk C, et al. Competency-based approaches to community health: a randomized controlled trial to reduce childhood obesity among Latino preschool-aged children. Childhood Obesity 2019;15(8):519-31. [DOI] [PMC free article] [PubMed] [Google Scholar]

Heim 2009 {published data only}

  1. Heim S, Stang J, Ireland M. A garden pilot project enhances fruit and vegetable consumption among children. Journal of the American Dietetic Association 2009;109(7):1220-6. [DOI] [PubMed] [Google Scholar]

Helland 2013 {published data only}

  1. Helland S, Bere E, Øverby N. Food for preschoolers. Annals of Nutrition and Metabolism 2013;63:621. [Google Scholar]

Helland 2016 {published data only}

  1. Helland SH, Bere E, Øverby NC. Study protocol for a multi-component kindergarten-based intervention to promote healthy diets in toddlers: a cluster randomized trial. BMC Public Health 2016;16(1):273. [DOI] [PMC free article] [PubMed] [Google Scholar]

Helland 2017 {published data only}

  1. Helland SH, Bere E, Bjørnarå HB, Øverby NC. Food neophobia and its association with intake of fish and other selected foods in a Norwegian sample of toddlers: a cross-sectional study. Appetite 2017;114:110-7. [DOI] [PubMed]

Helle 2019 {published data only}

  1. Helle C, Hillesund ER, Wills AK, Overby NC. Evaluation of an eHealth intervention aiming to promote healthy food habits from infancy -the Norwegian randomized controlled trial Early Food for Future Health. International Journal of Behavioral Nutrition and Physical Activity 2019;16:1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Helle C, Hillesund E R, Wills A K, Overby N C. Examining the effects of an eHealth intervention from infant age 6 to 12 months on child eating behaviors and maternal feeding practices one year after cessation: The Norwegian randomized controlled trial Early Food for Future Health. PLOS One 2019;14(8):e0220437. [DOI] [PMC free article] [PubMed] [Google Scholar]

Hendy 2002 {published data only}

  1. Hendy HM. Effectiveness of trained peer models to encourage food acceptance in preschool children. Appetite 2002;39(3):217-25. [DOI] [PubMed] [Google Scholar]

Hendy 2011 {published data only}

  1. Hendy HM, Williams KE, Camise TS, Alderman S, Ivy J, Reed J. Overweight and average-weight children equally responsive to "Kids Choice Program" to increase fruit and vegetable consumption. Appetite 2007;49(3):683-6. [DOI] [PubMed] [Google Scholar]
  2. Hendy HM, Williams KE, Camise TS. Kid's Choice Program improves weight management behaviors and weight status in school children. Appetite 2011;56(2):484-94. [DOI] [PubMed] [Google Scholar]

Herbold 2001 {published data only}

  1. Herbold NH, Dennis JD. Gem no. 339. Food for thought: a nutrition monitoring project for elementary school children using the Internet. Journal of Nutrition Education 2001;33(5):299-300. [DOI] [PubMed] [Google Scholar]

Herring 2016 {published data only}

  1. Herring D, Chang S, Bard S, Gavey E. Five years of MyPlate; looking back and what's ahead. Journal of the Academy of Nutrition and Dietetics 2016;116(7):1069-71. [DOI] [PubMed] [Google Scholar]

Hildebrand 2010 {published data only}

  1. Hildebrand DA, Shriver LH. A quantitative and qualitative approach to understanding fruit and vegetable availability in low-income African-American families with children enrolled in an urban Head Start program. Journal of the American Dietetic Association 2010;110:710-8. [DOI] [PubMed] [Google Scholar]

Hilpert 2019 {published data only}

  1. Hilpert M. Sociocultural influence on obesity and lifestyle in children: a study of daily activities, leisure time behavior, motor skills and weight status. Obesity Facts 2017;10(3):168-78. [DOI] [PMC free article] [PubMed] [Google Scholar]

Hoddinott 2017 {published data only}

  1. Hoddinott J, Ahmed I, Ahmed A, Roy S. Behavior change communication activities improve infant and young child nutrition knowledge and practice of neighboring non-participants in a cluster-randomized trial in rural Bangladesh. PLOS One 2017;12(6):e0179866. [DOI] [PMC free article] [PubMed]

Hoffman 2011 {published data only}

  1. Hoffman JA, Thompson DR, Franko DL, Power TJ, Leff SS, Stallings VA. Decaying behavioral effects in a randomized, multi-year fruit and vegetable intake intervention. Preventive Medicine 2011;52(5):370-5. [DOI] [PMC free article] [PubMed] [Google Scholar]

Hohman 2017 {published data only}

  1. Hohman EE, Paul IM, Birch LL, Savage JS. INSIGHT responsive parenting intervention is associated with healthier patterns of dietary exposures in infants. Obesity 2017;25(1):185-91. [DOI] [PMC free article] [PubMed]
  2. Hohman EE, Savage JS, Paul IM, Birch LL. INSIGHT study parenting intervention to prevent childhood obesity improves patterns of dietary exposures in infants. FASEB Journal. Conference: Experimental Biology 2016;30.

Hollar 2013 {published data only}

  1. Hollar D, Lombardo M, Heitz C, Hollar L. HOPE2 nutrition-focused policy/curricula improve consumption of nutritious foods and dietetic practices in elementary schools. Journal of Nutrition Education and Behavior 2013;45(4 Supplement):S63-4. [Google Scholar]
  2. Hollar D, Lombardo M, Heitz C, Hollar L. Making a significant impact on weight management among elementary-age children: school-based dietetic and wellness environmental policies and programs successfully promote lifestyle change. Journal of the Academy of Nutrition and Dietetics 2012;112(9):A15. [Google Scholar]

Holley 2015 {published data only}

  1. Holley CE, Farrow C, Haycraft E. Investigating the role of parent and child characteristics in healthy eating intervention outcomes. Appetite 2016;105:291-7. [DOI] [PubMed] [Google Scholar]
  2. Holley CE, Haycraft E, Farrow C. 'Why don't you try it again?' A comparison of parent led, home based interventions aimed at increasing children's consumption of a disliked vegetable. Appetite 2015;87:215-22. [DOI] [PubMed] [Google Scholar]
  3. Holley CE. Increasing vegetable consumption in early childhood: parents as facilitators [Thesis]. Loughborough University (UK), 2016. [Google Scholar]

Hooft 2013 {published data only}

  1. Hooft van Huysduynen E, Van Lee L, Geelen A, Feskens E, Van T Veer P, Van Woerkum C, et al. The effect of an individually tailored nutrition intervention for Dutch parents on dietary intake and physical activity of their children. Annals of Nutrition and Metabolism 2013;63:898. [Google Scholar]

Horne 2009 {published data only}

  1. Horne PJ, Hardman CA, Lowe CF, Tapper K, Le Noury J, Patel P, et al. Increasing parental provision and children’s consumption of lunchbox fruit and vegetables in Ireland: the Food Dudes intervention. European Journal of Clinical Nutrition 2009;63(5):613-8. [DOI] [PubMed] [Google Scholar]

Horodynski 2004 {published data only}

  1. Horodynski MAO, Hoerr S, Coleman G. Nutrition education aimed at toddlers. A pilot program for rural, low-income families. Family and Community Health 2004;27(2):103-13. [DOI] [PubMed] [Google Scholar]

Hotz 2012a {published data only}

  1. Hotz C, Loechl C, De Brauw A, Eozenou P, Gilligan D, Moursi M, et al. A large-scale intervention to introduce orange sweet potato in rural Mozambique increases vitamin A intakes among children and women. British Journal of Nutrition 2012;108(1):163-76. [DOI] [PubMed] [Google Scholar]

Hotz 2012b {published data only}

  1. Hotz C, Loechl C, Lubowa A, Tumwine J K, Ndeezi G, Nandutu Masawi A, et al. Introduction of beta-carotene-rich orange sweet potato in rural Uganda resulted in increased vitamin A intakes among children and women and improved vitamin A status among children. Journal of Nutrition 2012;142(10):1871-80. [DOI] [PubMed] [Google Scholar]

Howarth 2011 {published data only}

  1. Howarth P, James K. Childhood obesity. Communicating Nursing Research 2011;44:489. [Google Scholar]

Hu 2010 {published data only}

  1. Hu C, Ye D, Li Y, Huang Y, Li L, Gao Y, et al. Evaluation of a kindergarten-based nutrition education intervention for pre-school children in China. Public Health Nutrition 2010;13(2):253-60. [DOI] [PubMed] [Google Scholar]

Hughes 2007 {published data only}

  1. Hughes SO, Patrick H, Power TG, Fisher JO, Anderson CB, Nicklas TA. The impact of child care providers’ feeding on children’s food consumption. Journal of Developmental and Behavioral Pediatrics 2007;28(2):100-7. [DOI] [PubMed] [Google Scholar]

Hughes 2016b {published data only}

  1. Hughes L, Cirignano S, Fitzgerald N. Fruit and vegetable tastings in schools offer potential for increasing consumption among kindergarten through sixth grade children. Journal of the Academy of Nutrition and Dietetics 2016;116(9):A19. [Google Scholar]

Hughes 2019 {published data only}

  1. Hughes SO, Power TG, Baker SS, Barale K V, Lanigan JD, Parker L, et al. Pairing feeding content with a nutrition education curriculum: a comparison of online and in-class delivery. Journal of Nutrition Education and Behavior 2019;52(3):314-25. [DOI] [PubMed] [Google Scholar]

Hughes 2020 {published data only}

  1. Hughes SO, Power TG, Beck A, Betz D, Goodell LS, Hopwood V, et al. Short-term effects of an obesity prevention program among low-income hispanic families with preschoolers. Journal of Nutrition Education and Behavior 2020;52(3):224-39. [DOI] [PubMed] [Google Scholar]

Hull 2017 {published data only}

  1. Hull P, Briley C, Schmidt D, Mulvaney S, Silver H, Illukpitiya P, et al. CHEW 2.0: expansion of the Children Eating Well (CHEW) smartphone application for WIC-participating families. Journal of Nutrition Education and Behavior 2017b;49(7):S115-6. [Google Scholar]
  2. Hull P, Emerson J, Quirk M, Schmidt D, Mulvaney S, Beech B, et al. Children Eating Well (CHEW) smartphone application for WIC-participating families with preschool children. Journal of Nutrition Education and Behavior 2016;48(7):S121-2. [Google Scholar]
  3. Hull P, Emerson JS, Quirk ME, Canedo JR, Jones JL, Vylegzhanina V, et al. A smartphone App for families with preschool-aged children in a public nutrition program: prototype development and beta-testing. JMIR Mhealth Uhealth 2017;5(8):e102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Hull P, Shearer E, Weber S, Schmidt D, Jones J, Harris C, et al. NP22 development of the Children Eating Well (CHEW) mobile application for WIC families in Tennessee. Journal of Nutrition Education and Behavior 2019;51(7):S20. [Google Scholar]

Iaia 2017 {published data only}

  1. Iaia M, Pasini M, Burnazzi A, Vitali P, Allara E, Farneti M. An educational intervention to promote healthy lifestyles in preschool children: a cluster-RCT. International Journal of Obesity 2017;41(4):582-90. [DOI] [PubMed]

IFIC 2002 {published data only}

  1. International Food Information Council. Kidnetic.com: tap into the energy: healthful eating and physical activity tips for kids and parents just a click away. Food Insight 2002;1:4-5. [Google Scholar]

Israelashvili 2005 {published data only}

  1. Israelashvili M, Wegman-Rozi O. Mentoring at-risk preschoolers: lessons from the A.R.Y.A. project. Journal of Primary Prevention 2005;26(2):189-201. [DOI] [PubMed] [Google Scholar]

Issanchou 2017 {published data only}

  1. Issanchou S. Determining factors and critical periods in the formation of eating habits: results from the Habeat project. Annals of Nutrition and Metabolism 2017;70(3):251-6. [DOI] [PubMed] [Google Scholar]

Izumi 2013 {published data only}

  1. Izumi B, Hoffman J, Hallman J, Eckhardt C, Barberis D, Stott B. Harvest for Healthy KIds: what factors influence implementation of farm-to-preschool in head start classrooms? Journal of Nutrition Education and Behavior 2013;45(4 Supplement):S49-50. [Google Scholar]

James 1992 {published data only}

  1. James J, Brown J, Douglas M, Cox J, Stocker S. Improving the diet of under fives in a deprived inner city practice. Health Trends 1992;24(4):160-4. [PubMed] [Google Scholar]

Jancey 2014 {published data only}

  1. Jancey JM, Dos Remedios Monteiro SM, Dhaliwal SS, Howat PA, Burns S, Hills AP, et al. Dietary outcomes of a community based intervention for mothers of young children: a randomised controlled trial. International Journal of Behavioral Nutrition & Physical Activity 2014;11:182-98. [DOI] [PMC free article] [PubMed] [Google Scholar]

Janicke 2013 {published data only}

  1. Janicke DM, Lim CS, Mathews AE, Shelnutt KP, Boggs SR, Silverstein JH, et al. The community-based healthy-lifestyle intervention for rural preschools (CHIRP) study: design and methods. Contemporary Clinical Trials 2013;34(2):187-95. [DOI] [PMC free article] [PubMed] [Google Scholar]

Jannat 2019 {published data only}

  1. Jannat K, Luby SP, Unicomb L, Rahman M, Winch PJ, Parvez SM, et al. Complementary feeding practices among rural Bangladeshi mothers: results from WASH Benefits study. Maternal and Child Nutrition 2019;15(1):9. [DOI] [PMC free article] [PubMed] [Google Scholar]

Jansen 2010 {published data only}

  1. Jansen E, Mulkens S, Jansen A. How to promote fruit consumption in children. Visual appeal versus restriction. Appetite 2010;54(3):599-602. [DOI] [PubMed] [Google Scholar]

Jansen 2017 {published data only}

  1. Jansen EC, Kasper N, Lumeng JC, Brophy Herb HE, Horodynski MA, Miller AL, et al. Changes in household food insecurity are related to changes in BMI and diet quality among Michigan Head Start preschoolers in a sex-specific manner. Social Science & Medicine 2017;181:168-76. [DOI] [PMC free article] [PubMed]

Jayne 2008 {published data only}

  1. Jayne CL. Elmo Eats Broccoli: A Look at the Influence of Popular Characters on Children's Food Choices [Thesis]. University of Mississippi, 2008. [Google Scholar]

Jiménez‐Aguilar 2019 {published data only}

  1. Jiménez-Aguilar A, Rodríguez-Oliveros M, Uribe-Carvajal R, González-Unzaga MA, Escalante-Izeta EI, Reyes-Morales H. Design of an educational strategy based on Intervention Mapping for nutritional health promotion in Child Care Centers. Evaluation and Program Planning 2019;76:No pagination. [DOI] [PubMed] [Google Scholar]

Johansson 2019 {published data only}

  1. Johansson U, Ohlund I, Hernell O, Lonnerdal B, Lindberg L, Lind T. Protein-reduced complementary foods based on Nordic ingredients combined with systematic introduction of taste portions increase intake of fruits and vegetables in 9 month old infants: a randomised controlled trial. Nutrients 2019;11(6):19. [DOI] [PMC free article] [PubMed] [Google Scholar]

Johnson 1993 {published data only}

  1. Johnson Z, Howell F, Molloy B. Community mothers' programme: randomised controlled trial of non-professional intervention in parenting. BMJ 1993;306(6890):1449-52. [DOI] [PMC free article] [PubMed] [Google Scholar]

Johnson 2007 {published data only}

  1. Johnson SL, Bellows L, Beckstrom L, Anderson J. Evaluation of a social marketing campaign targeting preschool children. American Journal of Health Behavior 2007;31(1):44-55. [DOI] [PubMed] [Google Scholar]

Jordan 2010 {published data only}

  1. Jordan AB. Children's television viewing and childhood obesity. Pediatric Annals 2010;39(9):569-73. [DOI] [PubMed] [Google Scholar]

Joseph 2015a {published data only}

  1. Joseph S, Stevens AM, Ledoux T, O'Connor TM, O'Connor DP, Thompson D. Rationale, design, and methods for process evaluation in the Childhood Obesity Research Demonstration Project. Journal of Nutrition Education and Behavior 2015;47(6):560-5.e1. [DOI] [PubMed] [Google Scholar]

Joseph 2015b {published data only}

  1. Joseph LS, Gorin AA, Mobley SL, Mobley AR. Impact of a short-term nutrition education child care pilot intervention on preschool children's intention to choose healthy snacks and actual snack choices. Childhood Obesity 2015;11(5):513-20. [DOI] [PubMed] [Google Scholar]

Jung 2018 {published data only}

  1. Jung SE, Shin YH, Niuh A. Effectiveness of grocery store tours to promote intention to consume fruits and vegetables (fv): an application of the theory of planned behavior. Journal of Nutrition Education and Behavior 2018;50(7):S57-8. [Google Scholar]

Just 2013 {published data only}

  1. Just D, Price J. Default options, incentives and food choices: evidence from elementary-school children. Public Health Nutrition 2013;16(12):2281-8. [DOI] [PMC free article] [PubMed] [Google Scholar]

Kabahenda 2011 {published data only}

  1. Kabahenda M, Mullis RM, Erhardt JG, Northrop-Clewes C, Nickols SY. Nutrition education to improve dietary intake and micronutrient nutriture among children in less-resourced areas: a randomized controlled intervention in Kabarole district, Western Uganda. South African Journal of Clinical Nutrition 2011;24:83-8. [Google Scholar]

Kain 2012 {published data only}

  1. Kain J, Uauy R, Concha F, Leyton B, Bustos N, Salazar G, et al. School-based obesity prevention interventions for Chilean children during the past decades: lessons learned. Advances in Nutrition 2012;3(4):616S-21S. [DOI] [PMC free article] [PubMed] [Google Scholar]

Kalb 2005 {published data only}

  1. Kalb C, Springen K. Pump up the family. Newsweek 2005;145(17):62. [PubMed] [Google Scholar]

Kang 2017 {published data only}

  1. Kang Y, Suh Youn K, Debele L, Juon HS, Christian P. Effects of a community-based nutrition promotion programme on child feeding and hygiene practices among caregivers in rural Eastern Ethiopia. Public Health Nutrition 2017;20(8):1461-72. [DOI] [PMC free article] [PubMed]

Kannan 2016 {published data only}

  1. Kannan S, Ganguri HB, Qamar Z, Lakshmanan U, Wittcopp C. From carrots to peas and parsnips: programming flexibility through guided multisensory exploration in an early childhood environment. FASEB Journal. Conference: Experimental Biology 2016;30.

Karanja 2012 {published data only}

  1. Karanja N, Aickin M, Lutz T, Mist S, Jobe JB, Maupome G, et al. A community-based intervention to prevent obesity beginning at birth among American Indian children: study design and rationale for the PTOTS study. Journal of Primary Prevention 2012;33(4):161-74. [DOI] [PMC free article] [PubMed] [Google Scholar]

Karpyn 2017 {published data only}

  1. Karpyn A, Allen M, Marks S, Filion N, Humphrey D, Ye A, et al. Pairing animal cartoon characters with produce stimulates selection among child zoo visitors. Health Education & Behavior 2017;44(4):581-9. [DOI] [PMC free article] [PubMed] [Google Scholar]

Kashani 1991 {published data only}

  1. Kashani IA, Langer RD, Criqui MH, Nader PR, Rupp J, Sallis JF, et al. Effects of parental behavior modification on children’s cardiovascular risks. Annals New York Academy of Sciences 1991;623:447-9. [DOI] [PubMed] [Google Scholar]

Kaufman‐Shriqui 2016 {published data only}

  1. Kaufman-Shriqui V, Fraser D, Friger M, Geva D, Bilenko N, Vardi H, et al. Effect of a school-based intervention on nutritional knowledge and habits of low-socioeconomic school children in Israel: a cluster-randomized controlled trial. Nutrients 2016;8(4):234. [DOI] [PMC free article] [PubMed] [Google Scholar]

Kelder 1995 {published data only}

  1. Kelder SH, Perry CL, Lytle LA, Klepp K-I. Community-wide youth nutrition education: long-term outcomes of the Minnesota Heart Health program. Health Education Research 1995;10(2):119-31. [DOI] [PubMed] [Google Scholar]

Keller 2014 {published data only}

  1. Keller KL. The use of repeated exposure and associative conditioning to increase vegetable acceptance in children: explaining the variability across studies. Journal of the Academy of Nutrition and Dietetics 2014;114:1169-73. [DOI] [PubMed] [Google Scholar]

Kennedy 2011 {published data only}

  1. Kennedy BM, Harsha DW, Bookman EB, Hill YR, Rankinen T, Rodarte RQ, et al. Challenges to recruitment and retention of African Americans in the gene-environment trial of response to dietary interventions (GET READI) for heart health. Health Education Research 2011;26(5):923-36. [DOI] [PMC free article] [PubMed] [Google Scholar]

Khanna 2019 {published data only}

  1. Khanna SK. Food preference, infant and child feeding, and household food security. Ecology of Food and Nutrition 2019;58(6):527-8. [DOI] [PubMed] [Google Scholar]

Khoshnevisan 2004 {published data only}

  1. Khoshnevisan F, Kimiagar M, Kalantaree N, Valaee N, Shaheedee N. Effect of nutrition education and diet modification in iron depleted preschool children in nurseries in Tehran: a pilot study. International Journal for Vitamin and Nutrition Research 2004;74(4):264-8. [DOI] [PubMed] [Google Scholar]

Kidala 2000 {published data only}

  1. Kidala D, Greiner T, Gebre-Medhin M. Five-year follow-up of a food-based vitamin A intervention in Tanzania. Public Health Nutrition 2000;3(4):425-31. [DOI] [PubMed] [Google Scholar]

Kilaru 2005 {published data only}

  1. Kilaru A, Griffiths PL, Ganapathy S, Shanti G. Community-based nutrition education for improving infant growth in rural Karnataka. Indian Pediatrics 2005;42:425-32. [PubMed] [Google Scholar]

Kilicarslan 2010 {published data only}

  1. Kilicarslan Toruner E, Savaser S. A controlled evaluation of a school-based obesity prevention in Turkish school children. Journal of School Nursing 2010;26:473-82. [DOI] [PubMed] [Google Scholar]

Kim 2019a {published data only}

  1. Kim EB, Chen CS, Cheon BK. Using remote peers' influence to promote healthy food choices among preschoolers. Developmental Psychology 2019;55(4):703-8. [DOI] [PubMed] [Google Scholar]

Kimani‐Murage 2013 {published data only}

  1. Kimani-Murage EW, Kyobutungi C, Ezeh AC, Wekesah F, Wanjohi M, Muriuki P, et al. Effectiveness of personalised, home-based nutritional counselling on infant feeding practices, morbidity and nutritional outcomes among infants in Nairobi slums: study protocol for a cluster randomised controlled trial. Trials 2013;14:445. [DOI] [PMC free article] [PubMed] [Google Scholar]

Kipping 2014 {published data only}

  1. Kipping RR, Howe LD, Jago R, Campbell R, Wells S, Chittleborough CR, et al. Effect of intervention aimed at increasing physical activity, reducing sedentary behaviour, and increasing fruit and vegetable consumption in children: Active for Life Year 5 (AFLY5) school based cluster randomised controlled trial. BMJ 2014;348(7960):12. [DOI] [PMC free article] [PubMed] [Google Scholar]

Kipping 2016 {published data only}

  1. Kipping R, Jago R, Metcalfe C, White J, Papadaki A, Campbell R, et al. NAP SACC UK: protocol for a feasibility cluster randomised controlled trial in nurseries and at home to increase physical activity and healthy eating in children aged 2-4 years. BMJ Open 2016;6(4):e010622. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Kipping R, Langford R, Brockman R, Wells S, Metcalfe C, Papadaki A, et al. Child-care self-assessment to improve physical activity, oral health and nutrition for 2-to 4-year-olds: a feasibility cluster RCT. Public Health Research 2019;7(13):No pagination. [PubMed] [Google Scholar]
  3. Langford R, Jago R, White J, Moore L, Papadaki A, Hollingworth W, et al. A physical activity, nutrition and oral health intervention in nursery settings: process evaluation of the NAP SACC UK feasibility cluster RCT. BMC Public Health 2019;19:13. [DOI] [PMC free article] [PubMed] [Google Scholar]

Knoblock‐Hahn 2016 {published data only}

  1. Knoblock-Hahn A, Hand R, Medrow L. Improving food security, nutrition, and healthy family behaviors through the Registered Dietitian Parent Empowerment and Supplemental Food Pilot Program. Journal of the Academy of Nutrition and Dietetics 2016;116(9):A22. [DOI] [PubMed] [Google Scholar]

Knowlden 2015 {published data only}

  1. Knowlden A, Sharma M. A feasibility and efficacy randomized controlled trial of an online preventative program for childhood obesity: protocol for the EMPOWER Intervention. JMIR Research Protocols 2012;1(1):e5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Knowlden A, Sharma M. One-year efficacy testing of Enabling others to Prevent Pediatric Obesity Through Web-Based Education and Reciprocal Determinism (EMPOWER) randomized control trial. Health Education & Behavior 2016;43(1):94-106. [DOI] [PubMed] [Google Scholar]
  3. Knowlden AP, Conrad E. Two-year outcomes of the enabling mothers to prevent pediatric obesity through web-based education and reciprocal determinism (EMPOWER) randomized control trial. Health Education & Behavior 2018;45(2):262-76. [DOI] [PubMed] [Google Scholar]
  4. Knowlden AP, Sharma M, Cottrell RR, Wilson BR, Johnson ML. Impact evaluation of Enabling Mothers to Prevent Pediatric Obesity through Web-Based Education and Reciprocal Determinism (EMPOWER) randomized control trial. Health Education & Behavior 2015;42(2):171-84. [DOI] [PubMed] [Google Scholar]
  5. Knowlden AP. Feasibility and efficacy of the Enabling Mothers to Prevent Pediatric Obesity Through Web-Based Education and Reciprocal Determinism (EMPOWER) randomized control trial. Dissertation Abstracts International Section A: Humanities and Social Sciences 2014;75.

Koehler 2007 {published data only}

  1. Koehler S, Sichert-Hellert W, Kersting M. Measuring the effects of nutritional counseling on total infant diet in a randomized controlled intervention trial. Journal of Pediatric Gastroenterology and Nutrition 2007;45:106-13. [DOI] [PubMed] [Google Scholar]

Koff 2011 {published data only}

  1. Koff L, Mullis R. Nutrition education and technology: can delivering messages via new media technology effectively modify nutrition behaviors of preschoolers and their families? Journal of Nutrition Education and Behavior 2011;43(4 Supplement 1):S40. [Google Scholar]

Ko Linda 2016 {published data only}

  1. Ko LK, Rodriguez E, Yoon J, Ravindran R, Copeland WK. A brief community-based nutrition education intervention combined with food baskets can increase fruit and vegetable consumption among low-income Latinos. Journal of Nutrition Education and Behavior 2016;48(9):609-17. [DOI] [PubMed]

Kolodinsky 2017 {published data only}

  1. Kolodinsky JM, Sitaker M, Morgan EH, Connor LM, Hanson KL, Becot F, et al. Can CSA cost-offset programs improve diet quality for limited resource families? Choices 2017;32(1):No pagination.
  2. Morgan EH, Severs MM, Hanson KL, McGuirt J, Becot F, Wang W, et al. Gaining and maintaining a competitive edge: evidence from CSA members and farmers on local food marketing strategies. Sustainability 2018;10(7):2177. [Google Scholar]

Korwanich 2008 {published data only}

  1. Korwanich K, Sheiham A, Srisuphan W, Srisilapanan P. Promoting healthy eating in nursery schoolchildren: a quasi-experimental intervention study. Health Education Journal 2008;67(1):16-30. [Google Scholar]

Kotler 2012 {published data only}

  1. Kotler JA, Schiffman JM, Hanson KG. The influence of media characters on children's food choices. Journal of Health Communication 2012;17(8):886-98. [DOI] [PubMed] [Google Scholar]

Kotz 2010 {published data only}

  1. Kotz D. Can she end obesity? 5 key steps. Pursuing the first lady's goal may seem pretty straightforward. But it's not. U.S. News & World Report 2010;147:32. [PubMed] [Google Scholar]

Kral 2010 {published data only}

  1. Kral TV, Kabay AC, Roe LS, Rolls BJ. Effects of doubling the portion size of fruit and vegetable side dishes on children's intake at a meal. Obesity 2010;18(3):521-7. [DOI] [PubMed] [Google Scholar]

Krane 2017 {published data only}

  1. Krane K, Burnham L, Snow R, Feldman-Winter L, Bugg K, Taylor E, et al. A catalyst for change: the CHAMPS initiative. Journal of the Academy of Nutrition and Dietetics 2017;117(9):A80. [Google Scholar]

Lambrinou 2019 {published data only}

  1. Lambrinou CP, Van Stralen MM, Androutsos O, Cardon G, De Craemer M, Iotova V, et al. Mediators of the effectiveness of a kindergarten-based, family-involved intervention on pre-schoolers' snacking behaviour: the ToyBox-study. Public Health Nutrition 2019;22(1):157-63. [DOI] [PMC free article] [PubMed] [Google Scholar]

Lanigan 2010 {published data only}

  1. Lanigan J, Barber S, Singhal A. Prevention of obesity in preschool children. Proceedings of the Nutrition Society 2010;69(2):204-10. [DOI] [PubMed] [Google Scholar]

Laramy 2017 {published data only}

  1. Laramy K. A digital approach to behavior change - helping low-income moms to shop, cook, and eat healthy on a budget. Journal of Nutrition Education and Behavior 2017;49(7):S4.

LaRowe 2010 {published data only}

  1. LaRowe TL, Adams AK, Jobe JB, Cronin KA, Vannatter SM, Prince RJ. Dietary intakes and physical activity among preschool-aged children living in rural American Indian communities before a family-based healthy lifestyle intervention. Journal of the American Dietetic Association 2010;110(7):1049-57. [DOI] [PMC free article] [PubMed] [Google Scholar]

Larson 2011 {published data only}

  1. Larson N, Ward DS, Neelon SB, Story M. What role can child-care settings play in obesity prevention? A review of the evidence and call for research efforts. Journal of the American Dietetic Association 2011;111(9):1343-62. [DOI] [PubMed] [Google Scholar]

Laureati 2014 {published data only}

  1. Laureati M, Bergamaschi V, Pagliarini E. School-based intervention with children. Peer-modeling, reward and repeated exposure reduce food neophobia and increase liking of fruits and vegetables. Appetite 2014;83:26-32. [DOI] [PubMed] [Google Scholar]

Leahy 2008a {published data only}

  1. Leahy KE, Birch LL, Fisher JO, Rolls BJ. Reductions in entree energy density increase children's vegetable intake and reduce energy intake. Obesity 2008;16(7):1559-65. [DOI] [PubMed] [Google Scholar]

Leahy 2008b {published data only}

  1. Leahy KE, Birch LL, Rolls BJ. Reducing the energy density of an entree decreases children's energy intake at lunch. Journal of the American Dietetic Association 2008;108(1):41-8. [DOI] [PubMed] [Google Scholar]

Leahy 2008c {published data only}

  1. Leahy KE, Birch LL, Rolls BJ. Reducing the energy density of multiple meals decreases the energy intake of preschool-age children. American Journal of Clinical Nutrition 2008;88(6):1459-68. [DOI] [PubMed] [Google Scholar]

Ledoux 2017 {published data only}

  1. Ledoux T, Silveira S, Le J, Kamal H, Kung S. Investigating the preliminary effects of little foodies: a health promotion program for parents of toddlers. Journal of Nutrition Education and Behavior 2017;49(7):S3.

Lee 2017 {published data only}

  1. Lee RE, Parker NH, Soltero EG, Ledoux TA, Mama SK, McNeill L. Sustainability via Active Garden Education (SAGE): results from two feasibility pilot studies. BMC Public Health 2017;17(1):242. [DOI] [PMC free article] [PubMed] [Google Scholar]

Lee 2018b {published data only}

  1. Lee RM, Giles CM, Cradock AL, Emmons KM, Okechukwu C, Kenney EL, et al. Impact of the Out-of-School Nutrition and Physical Activity (OSNAP) Group randomized controlled trial on children's food, beverage, and calorie consumption among snacks served. Journal of the Academy of Nutrition & Dietetics 2018;118(8):1425-37. [DOI] [PMC free article] [PubMed] [Google Scholar]

Leme 2015 {published data only}

  1. Leme AC, Philippi ST. The "Healthy Habits, Healthy Girls" randomized controlled trial for girls: study design, protocol, and baseline results. Cadernos de Saude Publica 2015;31(7):1381-94. [DOI] [PubMed] [Google Scholar]

Leonard 2019 {published data only}

  1. Leonard B, Campbell M C, Manning K C. Kids, caregivers, and cartoons: the impact of licensed characters on food choices and consumption. Journal of Public Policy & Marketing 2019;38(2):214-31. [Google Scholar]

Leroy 2019 {published data only}

  1. Leroy JL, Olney DK, Bliznashka L, Ruel M. Tubaramure, a food-assisted maternal and child health and nutrition program in Burundi, increased household food security and energy and micronutrient consumption, and maternal and child dietary diversity: a cluster-randomized controlled trial. Journal of Nutrition 2019;150(4):945-7. [DOI] [PMC free article] [PubMed] [Google Scholar]

Lin 2017 {published data only}

  1. Lin S, Gray V, Singh-Carlson S, Cheffer N, Chery S. Community-based study of food, feeding, and opportunity in rural Haiti. Journal of the Academy of Nutrition and Dietetics 2017;117(9):A20.

Ling 2016a {published data only}

  1. Ling J, Robbins LB, Wen F. Interventions to prevent and manage overweight or obesity in preschool children: a systematic review. International Journal of Nursing Studies 2016;53:270-89. [DOI] [PubMed] [Google Scholar]

Ling 2016b {published data only}

  1. Ling J, Robbins LB, Hines-Martin V. Perceived parental barriers to and strategies for supporting physical activity and healthy eating among head start children. Journal of Community Health 2016;41(3):593-602. [DOI] [PubMed] [Google Scholar]

Ling 2019 {published data only}

  1. Ling J, Zahry NR, Robbins LB. Dose-response relationship in a healthy habits study for head start preschoolers. Nursing Research 2019;68(4):329-35. [DOI] [PubMed] [Google Scholar]

Llargues 2011 {published data only}

  1. Llargues E, Franco R, Recasens A, Nadal A, Vila M, Perez M J, et al. Assessment of a school-based intervention in eating habits and physical activity in school children: the AVall study. Journal of Epidemiology & Community Health 2011;65(10):896-901. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Llargues E, Recasens A, Franco R, Nadal A, Vila M, Perez M J, et al. Medium-term evaluation of an educational intervention on dietary and physical exercise habits in schoolchildren: the Avall 2 study. Endocrinologia y Nutricion 2012;59:288-95. [DOI] [PubMed] [Google Scholar]

Lloyd 2011 {published data only}

  1. Lloyd AB, Morgan PJ, Lubans DR, Plotnikoff RC. Investigating the measurement and operationalisation of obesity-related parenting variables of overweight fathers in the Healthy Dads, Healthy Kids community program. Obesity Research and Clinical Practice 2011;5:S72. [Google Scholar]

Locard 1987 {published data only}

  1. Locard E, Boyer M, Beroujon M. Evaluation of an educational campaign on nutrition among five years old children. Archives Francaises de Pediatrie 1987;44:205-9. [PubMed] [Google Scholar]

Lohse 2017 {published data only}

  1. Lohse B. Nutrition education does not stop at the borders. Journal of Nutrition Education and Behavior 2017;49(3):185. [DOI] [PubMed]

Longacre 2015 {published data only}

  1. Longacre MR, Roback J, Langeloh G, Drake K, Dalton MA. An entertainment-based approach to promote fruits and vegetables to young children. Journal of Nutrition Education and Behavior 2015;47(5):480-3.e1. [DOI] [PubMed] [Google Scholar]

Longley 2013 {published data only}

  1. Longley C. LANA Learning about Nutrition through Activities Deluxe Kit. Journal of Nutrition Education and Behavior 2013;45(6):807.e5. [Google Scholar]

Loth 2017 {published data only}

  1. Loth KA, Horning M, Friend S, Neumark-Sztainer D, Fulkerson J. An exploration of how family dinners are served and how service style is associated with dietary and weight outcomes in children. Journal of Nutrition Education and Behavior 2017;49(6):513-518.e1. [DOI] [PMC free article] [PubMed] [Google Scholar]

Low 2007 {published data only}

  1. Low JW, Arimond M, Osman N, Cunguara B, Zano F, Tschirley D. Ensuring the supply of and creating demand for a biofortified crop with a visible trait: lessons learned from the introduction of orange-fleshed sweet potato in drought-prone areas of Mozambique. Food and Nutrition Bulletin 2007;28(2):S258-S270. [DOI] [PubMed] [Google Scholar]

Luepker 1996 {published data only}

  1. Luepker RV, Perry CL, McKinlay SM, Nader PR, Parcel GS, Stone EJ, et al. Outcomes of a field trial to improve children's dietary patterns and physical activity. JAMA 1996;275(10):768-76. [DOI] [PubMed] [Google Scholar]
  2. Perry CL, Lytle LA, Feldman H, Nicklas T, Stone E, Zive M, et al. Effects of the child and adolescent trial for cardiovascular health (CATCH) on fruit and vegetable intake. Journal of Nutrition Education 1998;30:354-60. [Google Scholar]

Lumeng 2012 {published data only}

  1. Brown CL, Perrin EM, Peterson KE, Herb HE, Horodynski MA, Contreras D, et al. Association of picky eating with weight status and dietary quality among low-income preschoolers. Academic Pediatrics 2018;18(3):334-41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Lumeng JC, Miller A, Brophy-Herb H, Horodynski M, Contreras D, Davis R, et al. Enhancing self-regulation as a strategy for obesity prevention in head start preschoolers. Journal of Nutrition Education and Behavior 2012;44(4 Supplement):S89. [Google Scholar]
  3. Lumeng JC, Miller A, Brophy-Herb H, Horodynski MA, Contreras D, Davis R, et al. Enhancing self regulation as a strategy for obesity prevention in head start preschooler. Journal of Nutrition Education and Behavior 2013;45(4 Supplement):S86. [Google Scholar]
  4. Lumeng JC, Miller A, Brophy-Herb H, Horodynski MA, Contreras D, Peterson KE. Enhancing self-regulation as a strategy for obesity prevention in head start preschoolers. Journal of Nutrition Education and Behavior 2014;46(4, Supplement):S195. [Google Scholar]

Madden 2018 {published data only}

  1. Madden GJ, Price J, Wengreen H. Change and maintaining change in school cafeterias: economic and behavioral-economic approaches to increasing fruit and vegetable consumption. In: Change and Maintaining Change. Springer, 2018:101-25. [Google Scholar]

Maier 2007 {published data only}

  1. Maier A, Chabanet C, Schaal B, Issanchou S, Leathwood P. Effects of repeated exposure on acceptance of initially disliked vegetables in 7-month old infants. Food Quality and Preference 2007;18:1023-32. [Google Scholar]

Maier 2008 {published data only}

  1. Maier AS, Chabanet C, Schaal B, Leathwood PD, Issanchou SN. Breastfeeding and experience with variety early in weaning increase infants' acceptance of new foods for up to two months. Clinical Nutrition 2008;27(6):849-57. [DOI] [PubMed] [Google Scholar]

Maier‐Noth 2016 {published data only}

  1. Maier-Noth A, Schaal B, Leathwood P, Issanchou S. The lasting influences of early food-related variety experience: a longitudinal study of vegetable acceptance from 5 months to 6 years in two populations. PLOS One 2016;11(3):e0151356. [DOI] [PMC free article] [PubMed] [Google Scholar]

Maier‐Noth 2017 {published data only}

  1. Maier-Noth A. Nutrition gourmet or soup kasper? What factors affect the dietary behavior in children, and can we steer it in a positive direction early on? Padiatrie Und Padologie 2017;52(6):280-2. [Google Scholar]

Malden 2018 {published data only}

  1. Malden S, Hughes AR, Gibson AM, Bardid F, Androutsos O, De Craemer M, et al. Adapting the ToyBox obesity prevention intervention for use in Scottish preschools: protocol for a feasibility cluster randomised controlled trial. BMJ Open 2018;8(10):No pagination. [DOI] [PMC free article] [PubMed] [Google Scholar]

Malekafzali 2000 {published data only}

  1. Malekafzali H, Abdollahi Z, Mafi A, Naghavi M. Community-based nutritional intervention for reducing malnutrition among children under 5 years of age in the Islamic Republic of Iran. Eastern Mediterranean Health Journal 2000;6(2/3):238-45. [PubMed] [Google Scholar]

Manger 2012 {published data only}

  1. Manger WM, Manger LS, Minno AM, Killmeyer M, Holzman RS, Schullinger JN, et al. Obesity prevention in young schoolchildren: results of a pilot study. Journal of School Health 2012;82(10):462-8. [DOI] [PubMed] [Google Scholar]

Manios 1999 {published data only}

  1. Manios Y, Moschandreas J, Hatzis C, Kafatos A. Evaluation of a health and nutrition education program in primary school children of Crete over a three-year period. Preventive Medicine 1999;28(2):149-59. [DOI] [PubMed] [Google Scholar]

Manios 2009 {published data only}

  1. Manios Y, Kourlaba G, Kondaki K, Grammatikaki E, Birbilis M, Oikonomou E, et al. Diet quality of preschoolers in Greece based on the healthy eating index: the GENESIS study. Journal of the American Dietetic Association 2009;109(4):616-23. [DOI] [PubMed] [Google Scholar]

Manios 2018 {published data only}

  1. Manios Y, Androutsos O, Lambrinou C-P, Cardon G, Lindstrom J, Annemans L, et al. A school- and community-based intervention to promote healthy lifestyle and prevent type 2 diabetes in vulnerable families across Europe: design and implementation of the Feel4Diabetes-study. Public Health Nutrition 2018;21(17):3281-90. [DOI] [PMC free article] [PubMed] [Google Scholar]

Mann 2015 {published data only}

  1. Mann CM, Ward DS, Vaughn A, Benjamin Neelon SE, Long Vidal LJ, Omar S, et al. Application of the Intervention Mapping protocol to develop Keys, a family child care home intervention to prevent early childhood obesity. BMC Public Health 2015;15:1227. [DOI] [PMC free article] [PubMed]

Mann 2018 {published data only}

  1. Mann G. Catch the carrot. Journal of Nutrition Education and Behavior 2018;50(1):100. [DOI] [PubMed] [Google Scholar]

Marcano‐Olivier 2019 {published data only}

  1. Marcano-Olivier M, Pearson R, Ruparell A, Horne PJ, Viktor S, Erjavec M. A low-cost behavioural nudge and choice architecture intervention targeting school lunches increases children's consumption of fruit: a cluster randomised trial. International Journal of Behavioral Nutrition & Physical Activity 2019;16:20. [DOI] [PMC free article] [PubMed] [Google Scholar]

Markert 2014 {published data only}

  1. Markert J, Herget S, Petroff D, Gausche R, Grimm A, Kiess W, et al. Telephone-based adiposity prevention for families with overweight children (T.A.F.F.-Study): one year outcome of a randomized, controlled trial. International Journal of Environmental Research and Public Health 2014;11(10):10327-44. [DOI] [PMC free article] [PubMed] [Google Scholar]

Marquard 2011 {published data only}

  1. Marquard J, Stahl A, Lerch C, Wolters M, Grotzke-Leweling M, Mayatepek E, et al. A prospective clinical pilot-trial comparing the effect of an optimized mixed diet versus a flexible low-glycemic index diet on nutrient intake and HbA(1c) levels in children with type 1 diabetes. Journal of Pediatric Endocrinology & Metabolism 2011;24(7-8):441-7. [DOI] [PubMed]

Martens 2008 {published data only}

  1. Martens MK, Van Assema P, Paulussen TGWM, Van Breukelen G, Brug J. Krachtvoer-: effect evaluation of a Dutch healthful diet promotion curriculum for lower vocational schools. Public Health Nutrition 2008;11(3):271-8. [DOI] [PubMed] [Google Scholar]

Mathias 2012 {published data only}

  1. Mathias KC, Rolls BJ, Birch LL, Kral TV, Hanna EL, Davey A, et al. Serving larger portions of fruits and vegetables together at dinner promotes intake of both foods among young children. Journal of the Acadamy of Nutrition and Dietetics 2012;112(2):266-70. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Mathias KC, Rolls BJ, Birch LL, Kral TVE, Fisher JO. Does serving children larger portions of fruit affect vegetable intake? Obesity (Silver Spring, Md.) 2009;17:S90. [Google Scholar]

Mbogori 2016 {published data only}

  1. Mbogori T, Murimi M. Effects of a nutrition education intervention on maternal nutrition knowledge, child care practices and nutrition status. Journal of Nutrition Education and Behavior 2016;48(7):S3. [Google Scholar]

McGowan 2013 {published data only}

  1. Gardner B, Sheals K, Wardle J, McGowan L. Putting habit into practice, and practice into habit: a process evaluation and exploration of the acceptability of a habit-based dietary behaviour change intervention. International Journal of Behavioral Nutrition and Physical Activity 2014;11:135. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. McGowan L, Cooke LJ, Gardner B, Beeken RJ, Croker H, Wardle J. Healthy feeding habits: efficacy results from a cluster-randomized, controlled exploratory trial of a novel, habit-based intervention with parents. American Journal of Clinical Nutrition 2013;98(3):769-77. [DOI] [PubMed] [Google Scholar]

McKenzie 1996 {published data only}

  1. Dixon LB, McKenzie J, Shannon BM, Mitchell DC, Smiciklas-Wright H, Tershakovec AM. The effect of changes in dietary fat on the food group and nutrient intake of 4- to 10-year-old children. Pediatrics 1997;100(5):863-72. [DOI] [PubMed] [Google Scholar]
  2. Dixon LB, Tershakovec AM, McKenzie J, Shannon B. Diet quality of young children who received nutrition education promoting lower dietary fat. Public Health Nutrition 2000;3(4):411-6. [DOI] [PubMed] [Google Scholar]
  3. McKenzie J, Dixon LB, Smiciklas-Wright H, Mitchell D, Shannon B, Tershakovec A. Change in nutrient intakes, number of servings, and contributions of total fat from food groups in 4- to 10-year-old children enrolled in a nutrition education study. Journal of the American Dietetic Association 1996;96(9):865-72. [DOI] [PubMed] [Google Scholar]

McSweeney 2017 {published data only}

  1. McSweeney L, Araujo-Soares V, Rapley T, Adamson A. A feasibility study with process evaluation of a preschool intervention to improve child and family lifestyle behaviours. BMC Public Health 2017;17(1):248. [DOI] [PMC free article] [PubMed]

Mehta 2014 {published data only}

  1. Mehta M, Ashburn L, Mehta M, Sankavaram K. Family-based behavioral nutrition intervention improves nutrition knowledge, food choices, and BMI in Latino children. Journal of Nutrition Education and Behavior 2014;46(4 Supplement):S136. [Google Scholar]

Meinen 2012 {published data only}

  1. Meinen A, Friese B, Wright W, Carrel A. Youth gardens increase healthy behaviors in young children. Journal of Hunger and Environmental Nutrition 2012;7:192-204. [Google Scholar]

Melnick 2018 {published data only}

  1. Melnick EM, Li M. Association of plate design with consumption of fruits and vegetables among preschool children. JAMA Pediatrics 2018;172(10):982. [DOI] [PMC free article] [PubMed] [Google Scholar]

Mennella 2006 {published data only}

  1. Mennella JA, Kennedy JM, Beauchamp GK. Vegetable acceptance by infants: effects of formula flavors. Early Human Development 2006;82(7):463-8. [DOI] [PMC free article] [PubMed] [Google Scholar]

Mennella 2017 {published data only}

  1. Mennella JA, Daniels LM, Reiter AR. Learning to like vegetables during breastfeeding: a randomized clinical trial of lactating mothers and infants. American Journal of Clinical Nutrition 2017;106(1):67-76. [DOI] [PMC free article] [PubMed] [Google Scholar]

Merida 2019 {published data only}

  1. Merida Rios L, Marquez Serrano M, Jimenez Aguilar A, Barboza Chacon L, Rueda Neria CM, Arenas Monreal L. Promoting fruit, vegetable and simple water consumption among mothers and teachers of preschool children: an Intervention Mapping initiative. Evaluation & Program Planning 2019;76:101675. [DOI] [PubMed] [Google Scholar]

Metcalfe 2016 {published data only}

  1. Metcalfe JJ, McCaffrey J. Pre-testing and refinement of an after school cooking program for children: a pilot study of the Kids in the Kitchen Program. Journal of Nutrition Education and Behavior 2016;48(7):S11. [Google Scholar]

Metcalfe 2017 {published data only}

  1. Metcalfe JJ, Fiese B, Liu R, Emberton, E, McCaffrey J. When kids learn to cook: findings from the Illinois Junior Chefs Effectiveness Trial. Journal of Nutrition Education and Behavior 2017;49(7):S3-4.

Mok 2017 {published data only}

  1. Mok E, Vanstone CA, Gallo S, Li P, Constantin E, Weiler HA. Diet diversity, growth and adiposity in healthy breastfed infants fed homemade complementary foods. International Journal of Obesity 2017;41(5):776-82. [DOI] [PubMed]

Molitor 2016 {published data only}

  1. Molitor F, Sugerman SB, Sciortino S. Fruit and vegetable, fat, and sugar-sweetened beverage intake among low-income mothers living in neighborhoods with Supplemental Nutrition Assistance Program. Journal of Nutrition Education and Behavior 2016;48(10):683-90. [DOI] [PubMed] [Google Scholar]

Monterrosa 2013 {published data only}

  1. Monterrosa EC, Frongillo EA, Gonzalez de Cossio T, Bonvecchio A, Villanueva MA, Thrasher JF, et al. Scripted messages delivered by nurses and radio changed beliefs, attitudes, intentions, and behaviors regarding infant and young child feeding in Mexico. Journal of Nutrition 2013;143:915-22. [DOI] [PubMed] [Google Scholar]

Moran 2019 {published data only}

  1. Moran A, Thorndike A, Franckle R, Boulos R, Doran H, Fulay A, et al. Financial incentives increase purchases of fruit and vegetables among lower-income households with children. Health Affairs 2019;38(9):1557-66,1566A-E. [DOI] [PubMed] [Google Scholar]

Morgan 2016 {published data only}

  1. Morgan R, Edwards Hall LA. Long-term impact of nutrition education on dietary patterns. Journal of the Academy of Nutrition and Dietetics 2016;116(9):A55. [Google Scholar]

Morgan 2017 {published data only}

  1. Morgan PJ, Young MD. The influence of fathers on children's physical activity and dietary behaviors: insights, recommendations and future directions. Current Obesity Reports 2017;6(3):324-33. [DOI] [PubMed] [Google Scholar]

Morison 2018 {published data only}

  1. Morison BJ, Heath AM, Haszard JJ, Hein K, Fleming EA, Daniels L, et al. Impact of a modified version of baby-led weaning on dietary variety and food preferences in infants. Nutrients 2018;10(8):15. [DOI] [PMC free article] [PubMed] [Google Scholar]

Morrill 2016 {published data only}

  1. Jones Brooke A. Incentivizing children's fruit and vegetable consumption: evaluation and modification of the food dudes program for sustainable use in U.S. elementary schools. Dissertation Abstracts International Section A: Humanities and Social Sciences 2016;76(7-A(E)).
  2. Morrill BA, Madden GJ, Wengreen HJ, Fargo JD, Aguilar SS. A randomized controlled trial of the Food Dudes program: tangible rewards are more effective than social rewards for increasing short- and long-term fruit and vegetable consumption. Journal of the Academy of Nutrition & Dietetics 2016;116(4):618-29. [DOI] [PubMed] [Google Scholar]

Morshed 2018 {published data only}

  1. Morshed AB, Tabak RG, Schwarz CD, Haire-Joshu D. The impact of a healthy weight intervention embedded in a home-visiting program on children's weight and mothers' feeding practices. Journal of Nutrition Education & Behavior 2018;29:29. [DOI] [PMC free article] [PubMed] [Google Scholar]

Mozer 2019 {published data only}

  1. Mozer L, Johnson DB, Podrabsky M, Rocha A. School lunch entrées before and after implementation of the Healthy, Hunger-Free Kids Act of 2010. Journal of the Academy of Nutrition and Dietetics 2019;119(3):490-9. [DOI] [PubMed] [Google Scholar]

Murimi 2017 {published data only}

  1. Murimi M, Moyeda Carabaza AF. Effective nutrition interventions for sustainable maternal and child health: lessons from the countries that achieved their MDG 4 and 5 targets. Journal of Nutrition Education and Behavior 2017;49(7):S20.

Nabors 2015 {published data only}

  1. Nabors L, Burbage M, Woodson KD, Swoboda C. Implementation of an after-school obesity prevention program: helping young children toward improved health. Issues in Comprehensive Pediatric Nursing 2015;38(1):22-38. [DOI] [PubMed] [Google Scholar]

Nansel 2016 {published data only}

  1. Nansel TR, Lipsky LM, Eisenberg MH, Liu A, Mehta SN, Laffel LM. Can families eat better without spending more? Improving diet quality does not increase diet cost in a randomized clinical trial among youth with type 1 diabetes and their parents. Journal of the Academy of Nutrition and Dietetics 2016;116(11):1751-9. [DOI] [PMC free article] [PubMed]
  2. Sanjeevi N, Lipsky L, Liu A, Nansel T. Differential reporting of fruit and vegetable intake among youth in a randomized controlled trial of a behavioral nutrition intervention. International Journal of Behavioral Nutrition and Physical Activity 2019;16(1):15. [DOI] [PMC free article] [PubMed] [Google Scholar]

Nansel 2017 {published data only}

  1. Nansel T, Lipsky L. Cultivating Healthful Eating in Families (CHEF): a family-based program targeting whole plant foods. Journal of Nutrition Education and Behavior 2017;49(7):S8-9. [Google Scholar]

NAPNAP 2006 {published data only}

  1. National Association of Pediatric Nurse Practitioners. Healthy Eating and Activity Together (HEAT) Clinical Practice Guideline: identifying and preventing overweight in childhood. Journal of Pediatric Health Care 2006;20(2):1-64. [Google Scholar]

Natale 2014b {published data only}

  1. Natale R, Messiah S, Asfor L, Uhlhorn S, Arheart K, Delamater A. Healthy Caregivers-Healthy Children (HC2): a childcare center based obesity prevention. Journal of Nutrition Education and Behavior 2013;45(4 Supplement):S86-7. [Google Scholar]
  2. Natale R, Messiah S, Lopez-Mitnik G, Uhlhorn S, Scott S, Delamater A. Healthy Caregivers–Healthy Children (HC2): a childcare center–based obesity prevention program. Journal of Nutrition Education and Behavior 2012;44(4 Supplement):S82. [Google Scholar]
  3. Natale R, Scott SH, Messiah SE, Schrack MM, Uhlhorn SB, Delamater A. Design and methods for evaluating an early childhood obesity prevention program in the childcare center setting. BMC Public Health 2013;13:78. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Natale R. Improving the cardiovascular health of preschoolers in a childcare setting. Cardiology 2018;140:229. [Google Scholar]
  5. Natale RA, Messiah SE, Asfour L, Uhlhorn SB, Delamater A, Arheart KL. Role modeling as an early childhood obesity prevention strategy: effect of parents and teachers on preschool children's healthy lifestyle habits. Journal of Developmental and Behavioral Pediatrics 2014;35(6):378-87. [DOI] [PubMed] [Google Scholar]
  6. Natale RA, Messiah SE, Asfour LS, Uhlhorn SB, Englebert NE, Arheart KL. Obesity prevention program in childcare centers: two-year follow-up. American Journal of Health Promotion 2016;13:13. [DOI] [PubMed]

Nederkoorn 2018 {published data only}

  1. Nederkoorn C, Theibetaen J, Tummers M, Roefs A. Taste the feeling or feel the tasting: tactile exposure to food texture promotes food acceptance. Appetite 2018;120:297-301. [DOI] [PubMed] [Google Scholar]

Nemet 2007 {published data only}

  1. Nemet D, Perez S, Reges O, Eliakim A. Physical activity and nutrition knowledge and preferences in kindergarten children. International Journal of Sports Medicine 2007;28(10):887-90. [DOI] [PubMed] [Google Scholar]

Nemet 2008 {published data only}

  1. Nemet D, Barzilay-Teeni N, Eliakim A. Treatment of childhood obesity in obese families. Journal of Pediatric Endocrinology and Metabolism 2008;21(5):461-7. [DOI] [PubMed] [Google Scholar]

Nemet 2011 {published data only}

  1. Nemet D, Geva D, Eliakim A. Health promotion intervention in low socioeconomic kindergarten children. Journal of Pediatrics 2011;158(5):796-801. [DOI] [PubMed] [Google Scholar]

Nerud 2017 {published data only}

  1. Nerud K, Samra HA. Make a move. Intervention to reduce childhood obesity. Journal of School Nursing 2017;33(3):205-13. [DOI] [PubMed]

Nguyen 2017 {published data only}

  1. Nguyen B, Murimi MW. An after-school cultural and age-sensitive nutrition education intervention for elementary schoolchildren. Journal of Nutrition Education and Behavior 2017;49(10):877-880.e1. [DOI] [PubMed] [Google Scholar]

Nicklas 2011 {published data only}

  1. Nicklas TA, Goh ET, Goodell LS, Acuff DS, Reiher R, Buday R, et al. Impact of commercials on food preferences of low-income minority preschoolers. Journal of Nutrition Education and Behavior 2011;43(1):35-41. [DOI] [PMC free article] [PubMed]

Niederer 2011 {published data only}

  1. Niederer I, Burgi F, Ebenegger V, Schindler C, Marques-Vidal P, Kriemler S, et al. Effect of a lifestyle intervention on adiposity and fitness in high-risk subgroups of preschoolers (Ballabeina): a cluster-randomized trial. Endocrine Reviews 2011;32.
  2. Niederer I, Kriemler S, Zahner L, Burgi F, Ebenegger V, Hartmann T, et al. Influence of a lifestyle intervention in preschool children on physiological and psychological parameters (Ballabeina): study design of a cluster randomized controlled trial. BMC Public Health 2009;9:94. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Puder JJ, Marques-Vidal P, Schindler C, Zahner L, Niederer I, Bürgi F, et al. Effect of multidimensional lifestyle intervention on fitness and adiposity in predominantly migrant preschool children (Ballabeina): cluster randomised controlled trial. BMJ 2011;343:d6195. [DOI] [PMC free article] [PubMed] [Google Scholar]

Noller 2006 {published data only}

  1. Noller B, Winkler G, Rummel C. BeKi - an initiative for nutrition education in children: program description and evaluation. Gesundheitswesen 2006;68(3):165-70. [DOI] [PubMed] [Google Scholar]
  2. Winkler G, Noller B, Waibel S, Wiest M. BeKi - an initiative for nutrition education in children in the federal state of Baden-Wurttemberg: description, experiences, and considerations for an evaluation framework. Praventivmed 2005;50(3):151-60. [DOI] [PubMed] [Google Scholar]

Novotny 2011 {published data only}

  1. Novotny R, Vijayadeva V, Ramirez V, Lee SK, Davison N, Gittelsohn J. Development and implementation of a food system intervention to prevent childhood obesity in rural Hawai'i. Hawaii Medical Journal 2011;70(7 Suppl 1):42-6. [PMC free article] [PubMed] [Google Scholar]

Nunes 2017 {published data only}

  1. Nunes LM, Vigo A, Oliveira LD, Giugliani ER. Effect of a healthy eating intervention on compliance with dietary recommendations in the first year of life: a randomized clinical trial with adolescent mothers and maternal grandmothers. Journal of School Nursing 2017;33(6):e00205615. [DOI] [PubMed]
  2. Soldateli B, Vigo A, Giugliani ER. Adherence to dietary recommendations for preschoolers: clinical trial with teenage mothers. Revista de Saude Publica 2016;50:83. [DOI] [PMC free article] [PubMed]
  3. Soldateli B, Vigo A, Giugliani ER. Effect of pattern and duration of breastfeeding on the consumption of fruits and vegetables among preschool children. PlOS One 2016;11(2):e0148357. [DOI] [PMC free article] [PubMed] [Google Scholar]

Nystrom 2017 {published data only}

  1. Nystrom CD, Sandin S, Henriksson P, Henriksson H, Trolle-Lagerros Y, Larsson C, et al. Mobile-based intervention intended to stop obesity in preschool-aged children: the MINISTOP randomized controlled trial. American Journal of Clinical Nutrition 2017;105(6):1327-35. [DOI] [PubMed]

O'Connor 2010 {published data only}

  1. O'Connor TM, Hughes SO, Watson KB, Baranowski T, Nicklas TA, Fisher JO, et al. Parenting practices are associated with fruit and vegetable consumption in pre-school children. Public Health Nutrition 2010;13(1):91-101. [DOI] [PMC free article] [PubMed] [Google Scholar]

O'Sullivan 2017 {published data only}

  1. O'Sullivan A, Fitzpatrick N, Doyle O. Effects of early intervention on dietary intake and its mediating role on cognitive functioning: a randomised controlled trial. Public Health Nutrition 2017;20(1):154-64. [DOI] [PMC free article] [PubMed]

Ogle 2016 {published data only}

  1. Ogle AD, Graham DJ, Lucas-Thompson RG, Christina RA. Influence of cartoon media characters on children's attention to and preference for food and beverage products. Journal of the Academy of Nutrition and Dietetics 2016;117(2):265-70. [DOI] [PMC free article] [PubMed]

Ojeda‐Rodriguez 2018 {published data only}

  1. Ojeda-Rodriguez A, Zazpe I, Morell-Azanza L, Chueca MJ, Azcona-Sanjulian MC, Marti A. Improved diet quality and nutrient adequacy in children and adolescents with abdominal obesity after a lifestyle intervention. Nutrients 2018;10(10):No pagination. [DOI] [PMC free article] [PubMed] [Google Scholar]

Olsen 2019 {published data only}

  1. Olsen A, Hausner H, Julia CS, Møller P. No choice vs free choice: how serving situations influence pre-school children’s vegetable intake. Food Quality and Preference 2019;72:172-6. [Google Scholar]

Olvera 2010 {published data only}

  1. Olvera N, Bush JA, Sharma SV, Knox BB, Scherer RL, Butte NF. BOUNCE: a community-based mother-daughter healthy lifestyle intervention for low-income Latino families. Obesity 2010;18(1):S102-S104. [DOI] [PubMed] [Google Scholar]

Onnerfält 2012 {published data only}

  1. Onnerfält J, Erlandsson LK, Orban K, Broberg M, Helgason C, Thorngren-Jerneck K. A family-based intervention targeting parents of preschool children with overweight and obesity: conceptual framework and study design of LOOPS- Lund overweight and obesity preschool study. BMC Public Health 2012;12:879. [DOI] [PMC free article] [PubMed] [Google Scholar]

Overcash 2017 {published data only}

  1. Overcash F, Ritter A, Vickers Z, Reicks M. Cooking matters for families revised to improve family vegetable outcomes. Journal of Nutrition Education and Behavior 2017;49(7):S118. [Google Scholar]

Paineau 2010 {published data only}

  1. Paineau D, Beaufils F, Boulier A, Cassuto DA, Chwalow J, Combris P, et al. The cumulative effect of small dietary changes may significantly improve nutritional intakes in free-living children and adults. European Journal of Clinical Nutrition 2010;64(8):782-91. [DOI] [PubMed] [Google Scholar]

Panunzio 2007 {published data only}

  1. Panunzio MF, Antoniciello A, Pisano A, Dalton S. Nutrition education intervention by teachers may promote fruit and vegetable consumption in Italian students. Nutrition Research 2007;27:524-8. [Google Scholar]

Parcel 1989 {published data only}

  1. Parcel GS, Simons-Morton B, O’Hara NM, Baranowski T, Wilson B. School promotion of healthful diet and physical activity: impact on learning outcomes and self reported behavior. Health Education & Behavior 1989;16(1):191-9. [DOI] [PubMed] [Google Scholar]
  2. Simons-Morton BG, Parcel GS, O’Hara NM. Implementing organizational changes to promote healthful diet and physical activity at school. Health Education & Behavior 1988;15(1):115-30. [DOI] [PubMed] [Google Scholar]

Parekh 2018 {published data only}

  1. Parekh N, Henriksson P, Delisle Nystrom C, Silfvernagel K, Ruiz JR, Ortega FB, et al. Associations of parental self-efficacy with diet, physical activity, body composition, and cardiorespiratory fitness in Swedish preschoolers: results from the MINISTOP trial. Health Education & Behavior 2018;45(2 RTY - Journal article):238-46. [DOI] [PubMed] [Google Scholar]

Park 2018 {published data only}

  1. Park O-H, Brown R, Murimi M, Hoover L. Let's cook, eat, and talk: encouraging healthy eating behaviors and interactive family mealtime for an underserved neighborhood in Texas. Journal of Nutrition Education and Behavior 2018;50(8):836-44. [DOI] [PubMed] [Google Scholar]

Passehl 2004 {published data only}

  1. Passehl B, McCarroll C, Buechner J, Gearring C, Smith AE, Trowbridge F. Preventing childhood obesity: establishing healthy lifestyle habits in the preschool years. Journal of Pediatric Health Care 2004;18(6):315-9. [DOI] [PubMed] [Google Scholar]

Peracchio 2016 {published data only}

  1. Peracchio H, Jaronko S, Argondezzi T, Latham K, Viteretto C. Growing Gardens, Growing Health Program: a novel approach to nutrition education in a garden setting. Journal of the Academy of Nutrition and Dietetics 2016;116(9):A65. [Google Scholar]

Perry 1985 {published data only}

  1. Perry CL, Mullis RM, Maile MC. Modifying the eating behaviour of young children. Journal of School Health 1985;55(10):399-402. [DOI] [PubMed] [Google Scholar]

Persky 2018 {published data only}

  1. Persky S, Ferrer RA, Klein WM, Goldring MR, Cohen RW, Kistler WD, et al. Effects of fruit and vegetable feeding messages on mothers and fathers: interactions between emotional state and health message framing. Annals of Behavioral Medicine 2018;03:03. [DOI] [PMC free article] [PubMed] [Google Scholar]

Persson 2018 {published data only}

  1. Persson JE, Bohman B, Tynelius P, Rasmussen F, Ghaderi A. Prevention of childhood obesity in child health services: follow-up of the PRIMROSE trial. Childhood Obesity 2018;14(2):7. [DOI] [PubMed] [Google Scholar]

Peters 2012a {published data only}

  1. Peters P, Mobley AR, Procter S, Contreras D, Gold AL, Bruns K, et al. Mobilizing rural low-income communities to assess and improve the ecological environment to prevent childhood obesity. Journal of Nutrition Education and Behavior 2012;44(4 Supplement):S86. [Google Scholar]

Poelman 2019 {published data only}

  1. Poelman A. Understanding and Changing Children's Sensory Acceptance for Vegetables [Dissertation]. Wageningen: Wageningen University, 2016. [Google Scholar]
  2. Poelman AA, Delahunty CM, Broch M, De Graaf C. Multiple vs single target vegetable exposure to increase young children's vegetable intake. Journal of Nutrition Education and Behavior 2019;51(8):985-92. [DOI] [PubMed] [Google Scholar]
  3. Poelman AA, Delahunty CM, Cochet-Broch M, Zwinkels M, De Graaf CZ. The effect of multiple target versus single target vegetable exposure to increase vegetable intake in children. Appetite 2016;101(223):no pagination.

Poeta 2019 {published data only}

  1. Poeta M, Lamberti R, Di Salvio D, Massa G, Torsiello N, Pierri L, et al. Waist circumference and healthy lifestyle preferences/knowledge monitoring in a preschool obesity prevention program. Nutrients 2019;11(9):2139. [DOI] [PMC free article] [PubMed] [Google Scholar]

Polacsek 2017 {published data only}

  1. Polacsek M, Moran A, Thorndike AN, Boulos R, Franckle RL, Greene JC, et al. A supermarket double-dollar incentive program increases purchases of fresh fruits and vegetables among low-income families with children: the Healthy Double Study. Journal of Nutrition Education and Behavior 2017;7:7. [DOI] [PMC free article] [PubMed] [Google Scholar]

Potter 2019 {published data only}

  1. Potter C. If you want children to eat vegetables, don’t tell them they're evil. Guardian 2019:2.

Prelip 2011 {published data only}

  1. Prelip M, Slusser W, Thai CL, Kinsler J, Erausquin JT. Effects of a school-based nutrition program diffused throughout a large urban community on attitudes, beliefs, and behaviors related to fruit and vegetable consumption. Journal of School Health 2011;81(9):520-9. [DOI] [PubMed] [Google Scholar]

Presti 2015 {published data only}

  1. Presti G, Cau S, Oppo A, Moderato P. Increased classroom consumption of home-provided fruits and vegetables for normal and overweight children: results of the Food Dudes program in Italy. Journal of Nutrition Education & Behavior 2015;47(4):338-344 7p. [DOI] [PubMed] [Google Scholar]

Price 2015 {published data only}

  1. Price S, Ferisin S, Sharifi M, Steinberg D, Bennett G, Wolin KY, et al. Development and implementation of an interactive text messaging campaign to support behavior change in a childhood obesity randomized controlled trial. Journal of Health Communication 2015;20(7):843-50. [DOI] [PubMed] [Google Scholar]

Prosper 2009 {published data only}

  1. Prosper M, Moczulski VL, Qureshi A, Weiss M, Bryars T. Healthy for Life/PE4ME: assessing an intervention targeting childhood obesity. Californian Journal of Health Promotion 2009;7:1-10. [Google Scholar]

Puia 2017 {published data only}

  1. Puia A, Leucuta DC. Children's lifestyle behaviors in relation to anthropometric indices: a family practice study. Clujul Medical 2017;90(4):385-91. [DOI] [PMC free article] [PubMed] [Google Scholar]

Quandt 2013 {published data only}

  1. Quandt SA, Dupuis J, Fish C, D'Agostino RB Jr. Feasibility of using a community-supported agriculture program to improve fruit and vegetable inventories and consumption in an underresourced urban community. Preventing Chronic Disease 2013;10:E136. [DOI] [PMC free article] [PubMed] [Google Scholar]

Quizan‐Plata 2012 {published data only}

  1. Quizan-Plata T, Villarreal Meneses L, Esparza Romero J, Anaya Barragan C, Galaviz Moreno S, Orozco Garcia ME, et al. Intervention to promote physical activity and dietary lifestyle changes in students attending public primary schools of Sonora Mexico. FASEB Journal 2012;26.
  2. Quizan-Plata T, Villarreal Meneses L, Esparza Romero J, Bolanos Villar AV, Diaz Zavala RG. Educational program had a positive effect on the intake of fat, fruits and vegetables and physical activity in students attending public elementary schools of Mexico. Nutricion Hospitalaria 2014;30(3):552-61. [DOI] [PubMed] [Google Scholar]

Rackliffe 2016 {published data only}

  1. Rackliffe LJ. Kid approved healthy snacks. Journal of Nutrition Education and Behavior 2016;49(3):268.

Rahman 1994 {published data only}

  1. Rahman MM, Islam MA, Mahalanabis D, Chowdhury S, Biswas E. Impact of health education on the feeding of green leafy vegetables at home to children of the urban poor mothers of Bangladesh. Public Health 1994;108(3):211-8. [DOI] [PubMed] [Google Scholar]

Raine 2018 {published data only}

  1. Raine KD. Making WAVES against a tsunami of childhood obesity. Nature Reviews Endocrinology 2018;14(6):325-6. [DOI] [PubMed] [Google Scholar]

Rangelov 2018 {published data only}

  1. Rangelov N, Della Bella S, Marques-Vidal P, Suggs LS. Does additional support provided through e-mail or SMS in a web-based social marketing program improve children's food consumption? A randomized controlled trial. Nutrition Journal 2018;17(1):24. [DOI] [PMC free article] [PubMed] [Google Scholar]

Ransley 2007 {published data only}

  1. Ransley JK, Greenwood DC, Cade JE, Blenkinsop S, Schagen I, Teeman D, et al. Does the school fruit and vegetable scheme improve children's diet? A non-randomised controlled trial. Journal of Epidemiology and Community Health 2007;61:699-703. [DOI] [PMC free article] [PubMed] [Google Scholar]

Ray 2019 {published data only}

  1. Ray C, Campbell K, Hesketh KD. Key messages in an early childhood obesity prevention intervention: are they recalled and do they impact children's behaviour? International Journal of Environmental Research & Public Health 2019;16:02. [DOI] [PMC free article] [PubMed] [Google Scholar]

Raynor 2012 {published data only}

  1. Raynor HA, Osterholt KM, Hart CN, Jelalian E, Vivier P, Wing RR. Efficacy of U.S. paediatric obesity primary care guidelines: two randomized trials. Pediatric Obesity 2012;7(1):28-38. [DOI] [PMC free article] [PubMed] [Google Scholar]

Reicks 2012 {published data only}

  1. Reicks M, Vickers Z, Mykerezi E, Mann T, Redden J. Using in-home behavioral economic strategies and enhanced food preparation skills to increase vegetable intake and variety among children. Journal of Nutrition Education and Behavior 2012;44(4 Supplement):S90. [DOI] [PubMed] [Google Scholar]

Reifsnider 2012 {published data only}

  1. Reifsnider EA, Militello L. Reducing childhood obesity among WIC recipients. Communicating Nursing Research 2012;45:442. [Google Scholar]

Reinaerts 2007 {published data only}

  1. Reinaerts E, Crutzen R, Candel M, De Vries NK, De Nooijer J. Increasing fruit and vegetable intake among children: comparing long-term effects of a free distribution and multicomponent program. Health Education Research 2008;23(3):987-96. [DOI] [PubMed] [Google Scholar]
  2. Reinaerts E, De Nooijer J, Candel M, De Vries N. Increasing children's fruit and vegetable consumption: distribution or a multicomponent programme? Public Health Nutrition 2007;10(9):939-47. [DOI] [PubMed] [Google Scholar]

Reinbott 2016 {published data only}

  1. Reinbott A, Schelling A, Kuchenbecker J, Jeremias T, Russell I, Kevanna O, et al. Nutrition education linked to agricultural interventions improved child dietary diversity in rural Cambodia. British Journal of Nutrition 2016;116(8):1457-68. [DOI] [PMC free article] [PubMed]

Reinehr 2011 {published data only}

  1. Reinehr T, Schaefer A, Winkel K, Finne E, Kolip P. Development and evaluation of the lifestyle intervention "obeldicks light" for overweight children and adolescents. Journal of Public Health 2011;19:377-84. [Google Scholar]

Reverdy 2008 {published data only}

  1. Reverdy C, Chesnel F, Schlich P, Koster EP, Lange C. Effect of sensory education on willingness to taste novel food in children. Appetite 2008;51(1):156-65. [DOI] [PubMed] [Google Scholar]

Reynolds 1998 {published data only}

  1. Reynolds KD, Raczynski JM, Binkley D, Franklin FA, Duvall RC, Devane-Hart K, et al. Design of 'High 5': a school-based study to promote fruit and vegetable consumption for reduction of cancer risk. Journal of Cancer Education 1998;13(3):169-77. [DOI] [PubMed] [Google Scholar]

Reznar 2013 {published data only}

  1. Reznar MM. Application of behavior change and persuasion theories to a multi-media intervention designed to improve the home food environment and diet quality of resource-limited parents with young children. Dissertation Abstracts International: Section B: The Sciences and Engineering 2013;74.

Ribeiro 2014 {published data only}

  1. Ribeiro RQ, Alves L. Comparison of two school-based programmes for health behaviour change: the Belo Horizonte Heart Study randomized trial. Public Health Nutrition 2014;17:1195-204. [DOI] [PMC free article] [PubMed] [Google Scholar]

Ridberg 2019 {published data only}

  1. Ridberg RA, Bell JF, Merritt KE, Harris DM, Young HM, Tancredi DJ. A pediatric fruit and vegetable prescription program increases food security in low-income households. Journal of Nutrition Education and Behavior 2019;51(2):224-30.e1. [DOI] [PubMed] [Google Scholar]

Riggsbee 2018 {published data only}

  1. Riggsbee K, Spence M, Steeves EA, Zhou W, Colby S. Food environments in the classroom: testing of an experiential learning curriculum intervention on dietary behavior. Journal of Nutrition Education and Behavior 2018;50(7):S116-7. [Google Scholar]

Rioux 2018 {published data only}

  1. Rioux C, Lafraire J, Picard D. Visual exposure and categorization performance positively influence 3-to 6-year-old children's willingness to taste unfamiliar vegetables. Appetite 2018;120:32-42. [DOI] [PubMed] [Google Scholar]

Ritchie 2010 {published data only}

  1. Ritchie LD, Sharma S, Ikeda JP, Mitchell RA, Raman A, Green BS, et al. Taking Action Together: a YMCA-based protocol to prevent type-2 diabetes in high-BMI inner-city African American children. Trials 2010;11:60. [DOI] [PMC free article] [PubMed] [Google Scholar]

Rito 2013 {published data only}

  1. Rito AI, Carvalho MA, Ramos C, Breda J. Program Obesity Zero (POZ) - a community-based intervention to address overweight primary-school children from five Portuguese municipalities. Public Health Nutrition 2013;16(6):1043-51. [DOI] [PMC free article] [PubMed] [Google Scholar]

Robertson 2013 {published data only}

  1. Robertson PB. MEND: A family-based community intervention for childhood obesity and its effectiveness. Dissertation Abstracts International: Section B: The Sciences and Engineering 2013;73.

Robson 2019 {published data only}

  1. Robson SM, Ziegler ML, McCullough MB, Stough CO, Zion C, Simon SL, et al. Changes in diet quality and home food environment in preschool children following weight management. International Journal of Behavioral Nutrition and Physical Activity 2019;16:16. [DOI] [PMC free article] [PubMed] [Google Scholar]

Roche 2016 {published data only}

  1. Roche ML, Marquis GS, Gyorkos TW, Blouin, B, Sarsoza J, Kuhnlein HV. A community-based infant and young child nutrition intervention in Ecuador improved diet and reduced underweight. Journal of Nutrition Education and Behavior 2016;49(3):196-203. [DOI] [PubMed]

Rogers 2013 {published data only}

  1. Rogers VW, Hart PH, Motyka E, Rines EN, Vine J, Deatrick DA. Impact of Let's Go! 5-2-1-0: a community-based, multisetting childhood obesity prevention program. Journal of Pediatric Psychology 2013;38:1010-20. [DOI] [PubMed] [Google Scholar]

Rohde 2017 {published data only}

  1. Rohde JF, Larsen SC, Angquist L, Olsen NJ, Stougaard M, Mortensen EL, et al. Effects of the Healthy Start randomized intervention on dietary intake among obesity-prone normal-weight children. Public Health Nutrition 2017;20(16):1-10. [DOI] [PMC free article] [PubMed]

Rohlfs 2013 {published data only}

  1. Rohlfs DP, Gámiz F, Gil M, Moreno H, Márquez Zamora R, Gallo M, et al. Providing choice increases children’s vegetable intake. Food Quality and Preference 2013;30:108-13. [Google Scholar]

Romo 2018 {published data only}

  1. Romo ML, Abril-Ulloa V. Improving nutrition habits and reducing sedentary time among preschool-aged children in Cuenca, Ecuador: a trial of a school-based intervention. Preventing Chronic Disease 2018;15:E96. [DOI] [PMC free article] [PubMed] [Google Scholar]

Romo‐Palafox 2017 {published data only}

  1. Romo-Palafox MJ, Ranjit N, Sweitzer SJ, Roberts-Gray C, Byrd-Williams CE, Briley ME, et al. Adequacy of parent-packed lunches and preschooler's consumption compared to dietary reference intake recommendations. Journal of the American College of Nutrition 2017;36(3):169-76. [DOI] [PubMed]

Roychoudhury 2019 {published data only}

  1. Roychoudhury D, Nair KM, Balakrishna N, Radhakrishna KV, Ghosh S, Fernandez Rao S. A food synergy approach in a national program to improve the micronutrient status of preschoolers: a randomized control trial protocol. Annals of the New York Academy of Sciences 2019;1438(1):40-9. [DOI] [PubMed] [Google Scholar]

Rubenstein 2010 {published data only}

  1. Rubenstein C. Assessing and Improving Child Feeding Practices through "Take Charge of Your Family's Health" [DPhil thesis]. Villanova University, 2010. [Google Scholar]

Ruottinen 2008 {published data only}

  1. Lagstrom H, Seppanen R, Jokinen E, Ronnemaa T, Salminen M, Tuominen J, et al. Nutrient intakes and cholesterol values of the parents in a prospective randomized child-targeted coronary heart disease risk factor intervention trial--the STRIP project. European Journal of Clinical Nutrition 1999;53(8):654-61. [DOI] [PubMed] [Google Scholar]
  2. Matthews LA, Rovio SP, Jaakkola JM, Niinikoski H, Lagstrom H, Jula A, et al. Longitudinal effect of 20-year infancy-onset dietary intervention on food consumption and nutrient intake: the randomized controlled STRIP study. European Journal of Clinical Nutrition 2019;73(6):937-49. [DOI] [PubMed] [Google Scholar]
  3. Ruottinen S, Niinikoski H, Lagström H, Rönnemaa T, Hakanen M, Viikari J, et al. High sucrose intake is associated with poor quality of diet and growth between 13 months and 9 years of age: The Special Turku Coronary Risk Factor Intervention Project. Pediatrics 2008;121(6):e1676-e1685. [DOI] [PubMed] [Google Scholar]
  4. Talvia S, Räsänen L, Lagström H, Pahkala K, Viikari J, Rönnemaa T, et al. Longitudinal trends in consumption of vegetables and fruit in Finnish children in an atherosclerosis prevention study (STRIP). European Journal of Clinical Nutrition 2006;60(2):172-80. [DOI] [PubMed] [Google Scholar]

Russell 2018 {published data only}

  1. Russell CG, Haszard JJ, Taylor RW, Heath AM, Taylor B, Campbell KJ. Parental feeding practices associated with children's eating and weight: what are parents of toddlers and preschool children doing? Appetite 2018;128:120-8. [DOI] [PubMed] [Google Scholar]

Salminen 2005 {published data only}

  1. Salminen M, Vahlberg T, Ojanlatva A, Kivela SL. Effects of a controlled family-based health education/counseling intervention. American Journal of Health Behavior 2005;29(5):395-406. [DOI] [PubMed] [Google Scholar]

Salvy 2018 {published data only}

  1. Salvy SJ, Dutton GR, Borgatti A, Kim YI. Habit formation intervention to prevent obesity in low-income preschoolers and their mothers: A randomized controlled trial protocol. Contemporary Clinical Trials 2018;70:88-98. [DOI] [PMC free article] [PubMed] [Google Scholar]

Sanders 2014 {published data only}

  1. Sanders LM, Perrin EM, Yin HS, Bronaugh A, Rothman RL, Greenlight Study Team. "Greenlight study": a controlled trial of low-literacy, early childhood obesity prevention. Pediatrics 2014;133(6):e1724-37. [DOI] [PMC free article] [PubMed] [Google Scholar]

Sanigorski 2008 {published data only}

  1. Sanigorski AM, Bell AC, Kremer PJ, Cuttler R, Swinburn BA. Reducing unhealthy weight gain in children through community capacity-building: results of a quasi-experimental intervention program, Be Active Eat Well. International Journal of Obesity 2008;32(7):1060-7. [DOI] [PubMed] [Google Scholar]

Sanjur 1990 {published data only}

  1. Sanjur D, Garcia A, Aguilar R, Furumoto R, Mort M. Dietary patterns and nutrient intakes of toddlers from low-income families in Denver, Colorado. Journal of the American Dietetic Association 1990;90(6):823-9. [PubMed] [Google Scholar]

Sanna 2011 {published data only}

  1. Sanna T, Saarinen M, Lagstrom H. Tracking and clustering of dietary factors in the prospective dietary intervention trial in childhood and adolescence. Annals of Nutrition and Metabolism 2011;58:326. [Google Scholar]

Savage 2010 {published data only}

  1. Savage JS, Paul IM, Marini ME, Birch LL. Pilot intervention promoting responsive feeding, the division of feeding responsibility, and healthy dietary choices during infancy. Appetite 2010;54(3):673. [Google Scholar]

Scherr 2017 {published data only}

  1. Scherr RE, Linnell JD, Dharmar M, Beccarelli L, Bergman JM, Briggs J, et al. A multicomponent, school-based intervention, the Shaping Healthy Choices Program, improves nutrition-related outcomes. Journal of Nutrition Education and Behavior 2017;49(5):368-79. [DOI] [PubMed]

Schmied 2015 {published data only}

  1. Schmied E, Parada H, Horton L, Ibarra L, Ayala G. A process evaluation of an efficacious family-based intervention to promote healthy eating: the Entre Familia: Reflejos de Salud Study. Health Education & Behavior 2015;42(5):583-92. [DOI] [PubMed] [Google Scholar]

Schuler 2019 {published data only}

  1. Schuler BR, Fowler B, Rubio D, Kilby S, Wang Y, Hager ER, et al. Building blocks for healthy children: evaluation of a child care center-based obesity prevention pilot among low-income children. Journal of Nutrition Education and Behavior 2019;19:19. [DOI] [PMC free article] [PubMed] [Google Scholar]

Schumacher 2015 {published data only}

  1. Schumacher TL, Burrows TL, Thompson DI, Spratt NJ, Callister R, Collins CE. Feasibility of recruiting families into a heart disease prevention program based on dietary patterns. Nutrients 2015;7(8):7042-57. [DOI] [PMC free article] [PubMed]

Schwartz 2007a {published data only}

  1. Schwartz RP, Hamre R, Dietz WH, Wasserman RC, Slora EJ, Myers EF, et al. Office-based motivational interviewing to prevent childhood obesity. Archives of Pediatrics and Adolescent Medicine 2007;161(5):495-501. [DOI] [PubMed] [Google Scholar]

Schwartz 2007b {published data only}

  1. Schwartz MB. The influence of a verbal prompt on school lunch fruit consumption: a pilot study. International Journal of Behavioral Nutrition and Physical Activity 2007;4:6. [DOI] [PMC free article] [PubMed] [Google Scholar]

Schwartz 2015 {published data only}

  1. Schwartz MB, O'Connell M, Henderson KE, Middleton AE, Scarmo S. Testing variations on family-style feeding to increase whole fruit and vegetable consumption among preschoolers in child care. Childhood Obesity 2015;11(5):499-505. [DOI] [PubMed] [Google Scholar]

Serebrennikov 2020 {published data only}

  1. Serebrennikov D, Katare B, Kirkham L, Schmitt S. Effect of classroom intervention on student food selection and plate waste: evidence from a randomized control trial. PLOS One 2020;15(1):e0226181. [DOI] [PMC free article] [PubMed] [Google Scholar]

Shahriarzadeh 2017 {published data only}

  1. Shahriarzadeh F, Kelishadi R, Fatehizadeh M, Hassanzadeh A, Askari G. The effect of motivational interviewing and healthy diet on anthropometric indices and blood pressure in overweight and obese school children. Journal of Isfahan Medical School 2017;35(426):412-21. [Google Scholar]

Sharafi 2016 {published data only}

  1. Sharafi M, Peracchio H, Dugdale T, Scarmo S, Huedo-Medina T, Duffy V. Measuring vegetable intake and dietary quality in response to a preschool-based education program. Journal of the Academy of Nutrition and Dietetics 2016;116(9):A86. [Google Scholar]

Sharma 2016 {published data only}

  1. Sharma SV, Markham C, Chow J, Ranjit N, Pomeroy M, Raber M. Evaluating a school-based fruit and vegetable co-op in low-income children: a quasi-experimental study. Preventive Medicine 2016;91:8-17. [DOI] [PubMed] [Google Scholar]

Sharps 2016 {published data only}

  1. Sharps M, Robinson E. Encouraging children to eat more fruit and vegetables: health vs. descriptive social norm-based messages. Appetite 2016;100:18-25. [DOI] [PMC free article] [PubMed]

Sherwood 2013 {published data only}

  1. Sherwood NE, French SA, Veblen-Mortenson S, Crain AL, Berge J, Kunin-Batson A, et al. NET-Works: linking families, communities and primary care to prevent obesity in preschool-age children. Contemporary Clinical Trials 2013;36(2):544-54. [DOI] [PMC free article] [PubMed] [Google Scholar]

Shilts 2014 {published data only}

  1. Shilts M, Ontai L, Townsend M. Efficacy of a guided goal-setting intervention for low-income parents to reduce risk of pediatric obesity: preliminary results. Journal of Nutrition Education and Behavior 2014;46(4 Supplement):S118. [Google Scholar]

Shim 2011 {published data only}

  1. Shim JE, Kim J, Mathai RA. Associations of infant feeding practices and picky eating behaviors of preschool children. Journal of the American Dietetic Association 2011;111(9):1363-8. [DOI] [PubMed] [Google Scholar]

Shin 2014 {published data only}

  1. Shin HS, Valente TW, Riggs NR, Huh J, Spruijt-Metz D, Chou CP, et al. The interaction of social networks and child obesity prevention program effects: the pathways trial. Obesity 2014;22:1520-6. [DOI] [PMC free article] [PubMed] [Google Scholar]

Siega‐Riz 2004 {published data only}

  1. Siega-Riz AM, Kranz S, Blanchette D, Haines PS, Guilkey DK, Popkin BM. The effect of participation in the WIC program on preschoolers' diets. The Journal of Pediatrics 2004;144(2):229-34. [DOI] [PubMed] [Google Scholar]

Singh 2018 {published data only}

  1. Singh A, Klemm RD, Mundy G, Pandey Rana P, Pun B, Cunningham K. Improving maternal, infant and young child nutrition in Nepal via peer mobilization. Public Health Nutrition 2018;21(4):796-806. [DOI] [PMC free article] [PubMed] [Google Scholar]

Skouteris 2014 {published data only}

  1. Skouteris H, Edwards S, Rutherford L, Cutter-MacKenzie A, Huang T, O'Connor A. Promoting healthy eating, active play and sustainability consciousness in early childhood curricula, addressing the Ben10™ problem: a randomised control trial. BMC Public Health 2014;14:548. [DOI] [PMC free article] [PubMed] [Google Scholar]

Slusser 2012 {published data only}

  1. Slusser W, Frankel F, Robison K, Fischer H, Cumberland WG, Neumann C. Pediatric overweight prevention through a parent training program for 2-4 year old Latino children. Childhood Obesity 2012;8(1):52-9. [DOI] [PubMed] [Google Scholar]

Smethers 2019a {published data only}

  1. Smethers AD, Roe LS, Sanchez CE, Zuraikat FM, Keller KL, Kling SM, et al. Portion size has sustained effects over 5 days in preschool children: a randomized trial. American Journal of Clinical Nutrition 2019;109(5):1361-72. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Smethers AD, Roe LS, Sanchez CE, Zuraikat FM, Keller KL, Rolls BJ. Both increases and decreases in energy density lead to sustained changes in preschool children's energy intake over 5 days. Physiology & Behavior 2019;204:210-8. [DOI] [PMC free article] [PubMed]

Smethers 2019b {published data only}

  1. Smethers A. Discover my plate: nutrition education for kindergarten. Journal of Nutrition Education and Behavior 2019;51(8):1030-1. [Google Scholar]

Smith 2013 {published data only}

  1. Smith L, Conroy K, Wen H, Rui L, Humphries D. Portion size variably affects food intake of 6-year-old and 4-year-old children in Kunming, China. Appetite 2013;69:31-8. [DOI] [PMC free article] [PubMed] [Google Scholar]

Smith 2015 {published data only}

  1. Smith E, Wells K, Stluka S, McCormack LA. The impact of a fruit and vegetable intervention on children and caregivers. American Journal of Health Education 2015;46(6):316-22. [Google Scholar]

Snelling 2017 {published data only}

  1. Snelling AM, Newman C, Ellsworth D, Kalicki M, Guthrie J, Mancino L, et al. Using a taste-test intervention to promote vegetable consumption. Health Behavior and Policy Review 2017;4(1):67-75. [Google Scholar]

Sobko 2011 {published data only}

  1. Sobko T, Svensson V, Ek A, Ekstedt M, Karlsson H, Johansson E, et al. A randomised controlled trial for overweight and obese parents to prevent childhood obesity--Early STOPP (STockholm Obesity Prevention Program). BMC Public Health 2011;11:336. [DOI] [PMC free article] [PubMed] [Google Scholar]

Sobko 2017 {published data only}

  1. Sobko T, Jia Z, Kaplan M, Lee A, Tseng CH. Promoting healthy eating and active playtime by connecting to nature families with preschool children: evaluation of pilot study "Play&Grow". Pediatric Research 2017;81(4):572-81. [DOI] [PubMed] [Google Scholar]

Sojkowski 2012 {published data only}

  1. Sojkowski S, Severin S, Kannan S. Sensory exploration of seasonally and locally available vegetables and their effects on vegetable consumption of Western Massachusetts Head Start preschool children. FASEB Journal 2012;26.

Solomons 1999 {published data only}

  1. Solomons NW. Plant sources of vitamin A and human nutrition: how much is still too little? Nutrition Reviews 1999;57(11):350-61. [DOI] [PubMed] [Google Scholar]

Song 2016 {published data only}

  1. Song HJ, Grutzmacher S, Munger AL. Project ReFresh: testing the efficacy of a school-based classroom and cafeteria intervention in elementary school children. Journal of School Health 2016;86(7):543-51. [DOI] [PubMed] [Google Scholar]

Sotos‐Prieto 2013 {published data only}

  1. Sotos-Prieto M, Santos-Beneit G, Penalvo JL, Pocock S, Redondo J, Fuster V. Mediterranean dietary patterns in 3-5 year old children and their parents: the Program Si! study. Annals of Nutrition and Metabolism 2013;63:921-2. [Google Scholar]
  2. Sotos-Prieto M, Santos-Beneit G, Pocock S, Redondo J, Fuster V, Penalvo JL. Parental and self-reported dietary and physical activity habits in pre-school children and their socio-economic determinants. Public Health Nutrition 2015;18(2):275-85. [DOI] [PMC free article] [PubMed] [Google Scholar]

Speirs 2013 {published data only}

  1. Speirs K, Grutzmacher SK. Lessons learned for enrolling parents in a text message-based nutrition education program. Journal of Nutrition Education and Behavior 2013;45(4 Supplement):S1. [Google Scholar]

Stark 1986 {published data only}

  1. Stark LJ, Collins FL Jr, Osnes PG, Stokes TF. Using reinforcement and cueing to increase healthy snack food choices in preschoolers. Journal of Applied Behavior Analysis 1986;19(4):367-79. [DOI] [PMC free article] [PubMed] [Google Scholar]

Stark 2011 {published data only}

  1. Stark LJ, Spear S, Boles R, Kuhl E, Ratcliff M, Scharf C, et al. A pilot randomized controlled trial of a clinic and home-based behavioral intervention to decrease obesity in preschoolers. Obesity 2011;19:134-41. [DOI] [PMC free article] [PubMed] [Google Scholar]

Steenbock 2017 {published data only}

  1. Steenbock B, Buck C, Zeeb H, Rach S, Pischke CR. Impact of the intervention program "JolinchenKids - fit and healthy in daycare" on energy balance related-behaviors: results of a cluster controlled trial. BMC Pediatrics 2019;19(1):432. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Steenbock B, Zeeb H, Rach S, Pohlabeln H, Pischke CR. Design and methods for a cluster-controlled trial conducted at sixty-eight daycare facilities evaluating the impact of "JolinchenKids - Fit and Healthy in Daycare", a program for health promotion in 3- to 6-year-old children. BMC Public Health 2017;18(1):6. [DOI] [PMC free article] [PubMed]

Stern 2018 {published data only}

  1. Stern M, Bleck J, Ewing LJ, Davila E, Lynn C, Hale G, et al. NOURISH-T: targeting caregivers to improve health behaviors in pediatric cancer survivors with obesity. Pediatric Blood & Cancer 2018;19:19. [DOI] [PMC free article] [PubMed] [Google Scholar]

Story 2012 {published data only}

  1. Story M, Hannan PJ, Fulkerson JA, Rock BH, Smyth M, Arcan C, et al. Bright Start: description and main outcomes from a group-randomized obesity prevention trial in American Indian children. Obesity 2012;20(11):2241-9. [DOI] [PMC free article] [PubMed] [Google Scholar]

Suarez‐Balcazar 2014 {published data only}

  1. Suarez-Balcazar Y, Kouba J, Jones LM, Lukyanova VV. A university-school collaboration to enhance healthy choices among children. Journal of Prevention & Intervention in the Community 2014;42(2):140-51. [DOI] [PubMed] [Google Scholar]

Sun 2017 {published data only}

  1. Sun A, Cheng J, Bui Q, Liang Y, Ng T, Chen JL. Home-based and technology-centered childhood obesity prevention for Chinese mothers with preschool-aged children. Journal of Transcultural Nursing 2017;28(6):616-24. [DOI] [PubMed]

Sweitzer 2010 {published data only}

  1. Briley ME, Ranjit N, Holescher DM, Sweitzer SJ, Almansour F, Roberts-Gray C. Unbundling outcomes of a multilevel intervention to increase fruit, vegetables and whole grains parents pack for their preschool children in sack lunches. American Journal of Health Education 2012;43:135-42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Roberts-Gray C, Briley ME, Ranjit N, Byrd-Williams CE, Sweitzer SJ, Sharma SV, et al. Efficacy of the Lunch is in the Bag intervention to increase parents' packing of healthy bag lunches for young children: a cluster-randomized trial in early care and education centers. International Journal of Behavioral Nutrition and Physical Activity 2016;13:3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Roberts-Gray C, Ranjit N, Sweitzer SJ, Byrd-Williams CE, Romo-Palafox MJ, Briley ME, et al. Parent packs, child eats: surprising results of Lunch is in the Bag's efficacy trial. Appetite 2017;24:24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Sharma SV, Rashid T, Ranjit N, Byrd-Williams C, Chuang RJ, Roberts-Gray C, et al. Effectiveness of the Lunch is in the Bag program on communication between the parent, child and child-care provider around fruits, vegetables and whole grain foods: a group-randomized controlled trial. Preventive Medicine 2015;81:1-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Sweitzer SJ, Briley ME, Roberts-Gray C, Hoelscher DM, Harrist RB, Staskel DM, et al. Lunch is in the Bag: increasing fruits, vegetables, and whole grains in sack lunches of preschool-aged children. Journal of the American Dietetic Association 2010;110(7):1058-64. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Sweitzer SJ, Briley ME, Roberts-Gray C, Hoelscher DM, Harrist RB, Staskel DM, et al. Psychosocial outcomes of Lunch is in the Bag, a parent program for packing healthful lunches for preschool children. Journal of Nutrition Education and Behavior 2011;43(6):536-42. [DOI] [PMC free article] [PubMed] [Google Scholar]

Tande 2013 {published data only}

  1. Niemeier BS Tande DL, Hwang J, Stastny S, Hektner JM. Using education, exposure, and environments to increase preschool children's knowledge about fruit and vegetables. Journal of Extension 2010;48(1):No pagination. [Google Scholar]
  2. Tande D, Niemeier BS, Hwang H, Stastny S, Hektner JM. Intervention changes fruit and vegetable intake among preschoolers in pilot study. Journal of Nutrition Education and Behavior 2013;45:S58-9. [Google Scholar]

Taylor 2007 {published data only}

  1. McAuley KA, Taylor RW, Farmer VL, Hansen P, Williams SM, Booker CS. Economic evaluation of a community-based obesity prevention program in children: the APPLE project. Obesity 2009;18(1):131-6. [DOI] [PubMed]
  2. Taylor RW, McAuley KA, Barbezat W, Farmer VL, Williams SM, Mann JI. Two-year follow-up of an obesity prevention initiative in children: the APPLE project. American Journal of Clinical Nutrition 2008;88(5):1371-7. [DOI] [PubMed] [Google Scholar]
  3. Taylor RW, McAuley KA, Barbezat W, Strong A, Williams SM, Mann JI. APPLE project: 2-y findings of a community-based obesity prevention program in primary school-age children. American Journal of Clinical Nutrition 2007;86(3):735-42. [DOI] [PubMed] [Google Scholar]

Taylor 2010 {published data only}

  1. Taylor RW, Brown D, Dawson AM, Haszard J, Cox A, Rose EA, et al. Motivational interviewing for screening and feedback and encouraging lifestyle changes to reduce relative weight in 4-8 year old children: design of the MInT study. BMC Public Health 2010;10:271. [DOI] [PMC free article] [PubMed] [Google Scholar]

Taylor 2013a {published data only}

  1. Taylor C, Darby H, Upton P, Upton D. Can a school-based intervention increase children's fruit and vegetable consumption in the home setting? Perspectives in Public Health 2013;133(6):330-6. [DOI] [PubMed] [Google Scholar]

Taylor 2013b {published data only}

  1. Taylor JC, Johnson RK. Farm to School as a strategy to increase children's fruit and vegetable consumption in the United States: research and recommendations. Nutrition Bulletin 2013;38:70-9. [Google Scholar]

Taylor 2013c {published data only}

  1. Taylor NJ, Sahota P, Sargent J, Barber S, Loach J, Louch G, et al. Using intervention mapping to develop a culturally appropriate intervention to prevent childhood obesity: the HAPPY (Healthy and Active Parenting Programme for Early Years) study. International Journal of Behavioral Nutrition and Physical Activity 2013;10:142. [DOI] [PMC free article] [PubMed] [Google Scholar]

Taylor 2015a {published data only}

  1. Taylor C, Upton P, Upton D. Increasing primary school children's fruit and vegetable consumption: a review of the Food Dudes programme. Health Education 2015;115(2):178-96. [Google Scholar]

Taylor 2015b {published data only}

  1. Taylor RW, Cox A, Knight L, Brown DA, Meredith-Jones K, Haszard JJ, et al. A tailored family-based obesity intervention: a randomized trial. Pediatrics 2015;136(2):282-9. [DOI] [PubMed] [Google Scholar]

Taylor 2016 {published data only}

  1. Taylor RW, Heath AL, Galland BC, Cameron SL, Lawrence JA, Gray AR, et al. Three-year follow-up of a randomised controlled trial to reduce excessive weight gain in the first two years of life: protocol for the POI follow-up study. BMC Public Health 2016;16(1):771. [DOI] [PMC free article] [PubMed]

Te Velde 2008 {published data only}

  1. Te Velde SJ, Brug J, Wind M, Hildonen C, Bjelland M, Pérez-Rodrigo C, et al. Effects of a comprehensive fruit- and vegetable-promoting school-based intervention in three European countries: the Pro Children Study. British Journal of Nutrition 2008;99(4):893-903. [DOI] [PubMed] [Google Scholar]
  2. Te Velde SJ, Wind M, Perez-Rodrigo C, Klepp KI, Brug J. Mothers' involvement in a school-based fruit and vegetable promotion intervention is associated with increased fruit and vegetable intakes - the Pro Children study. International Journal of Behavioral Nutrition and Physical Activity 2008;5(48):15. [DOI] [PMC free article] [PubMed]

Tharrey 2017 {published data only}

  1. Tharrey M, Olaya GA, Fewtrell M, Ferguson E. Adaptation of new Colombian food-based complementary feeding recommendations using linear programming. Journal of Pediatric Gastroenterology and Nutrition 2017;65(6):667-72. [DOI] [PubMed] [Google Scholar]

Thomson 2014 {published data only}

  1. Thomson JL, Tussing-Humphreys LM, Goodman MH. Delta Healthy Sprouts: a randomized comparative effectiveness trial to promote maternal weight control and reduce childhood obesity in the Mississippi Delta. Contemporary Clinical Trials 2014;38(1):82-91. [DOI] [PubMed]

Timms 2011 {published data only}

  1. Timms V. Early intervention and good feeding advice support healthy eating. Nursing Children & Young People 2011;23:9. [Google Scholar]

Tobey 2016 {published data only}

  1. Tobey LN, Koenig HF, Brown NA, Manore MM. Reaching low-income mothers to improve family fruit and vegetable intake: food hero social marketing campaign-research steps, development and testing. Nutrients 2016;8(9):13. [DOI] [PMC free article] [PubMed]

Tomayko 2016 {published data only}

  1. Tomayko EJ, Prince RJ, Cronin KA, Adams AK. The Healthy Children, Strong Families intervention promotes improvements in nutrition, activity, and body weight in American Indian families with young children – ERRATUM. Public Health Nutrition 2016;20(2):380. [DOI] [PMC free article] [PubMed]
  2. Tomayko EJ, Prince RJ, Cronin KA, Adams AK. The Healthy Children, Strong Families intervention promotes improvements in nutrition, activity and body weight in American Indian families with young children. Public Health Nutrition 2016;19(15):2850-9. [DOI] [PMC free article] [PubMed]

Tomayko 2017 {published data only}

  1. Tomayko EJ, Mosso KL, Cronin KA, Carmichael L, Kim K, Parker T, et al. Household food insecurity and dietary patterns in rural and urban American Indian families with young children. BMC Public Health 2017;17(1):611. [DOI] [PMC free article] [PubMed]

Tomayko 2019 {published data only}

  1. Tomayko EJ, Prince RJ, Cronin KA, Kim K, Parker T, Adams AK. The Healthy Children, Strong Families 2 (HCSF2) randomized controlled trial improved healthy behaviors in American Indian families with young children. Current Developments in Nutrition 2019;3(Suppl 2):53-62. [DOI] [PMC free article] [PubMed] [Google Scholar]

Tovar 2017 {published data only}

  1. Tovar A, Vaughn AE, Grummon A, Burney R, Erinosho T, Ostbye T, et al. Family child care home providers as role models for children: cause for concern? Preventive Medicine Reports 2017;5:308-13. [DOI] [PMC free article] [PubMed]

Tran 2017 {published data only}

  1. Tran MTN. Parents and School’s Collaboration for Improving Children Food Well-Being by Knowledge Perspective [Thesis]. Nomi: Japan Advanced Institute of Science and Technology, 2017. [Google Scholar]

Tucker 2011 {published data only}

  1. Tucker S, Lanningham-Foster L, Murphy J, Olsen G, Orth K, Voss J, et al. A school based community partnership for promoting healthy habits for life. Journal of Community Health 2011;36(3):414-22. [DOI] [PubMed] [Google Scholar]

Tucker 2019 {published data only}

  1. Tucker JM, DeFrang R, Orth J, Wakefield S, Howard K. Evaluation of a primary care weight management program in children aged 2-5 years: changes in feeding practices, health behaviors, and body mass index. Nutrients 2019;11:27. [DOI] [PMC free article] [PubMed] [Google Scholar]

Tully 2018 {published data only}

  1. Tully C, Mackey E, Aronow L, Monaghan M, Henderson C, Cogen F, et al. Parenting intervention to improve nutrition and physical activity for preschoolers with type 1 diabetes: a feasibility study. Journal of Pediatric Health Care 2018;25:25. [DOI] [PMC free article] [PubMed] [Google Scholar]

Turnwald 2017 {published data only}

  1. Turnwald BP, Boles DZ, Crum AJ. Association between indulgent descriptions and vegetable consumption: twisted carrots and dynamite beets. JAMA Internal Medicine 2017;177(8):1216-8. [DOI] [PMC free article] [PubMed] [Google Scholar]

Tyler 2016 {published data only}

  1. Tyler DO, Horner SD. A primary care intervention to improve weight in obese children: a feasibility study. Journal of the American Association of Nurse Practitioners 2016;28(2):98-106. [DOI] [PubMed]

Uicab‐Pool 2009 {published data only}

  1. Uicab-Pool GA, Ferriani MGC, Gomes R, Pelcastre-Villafuerte B. Representations of eating and of a nutrition program among female caregivers of children under 5 years old in Tizimin, Yucatan, Mexico. Revista Latino-Americana de Enfermagem 2009;17(6):940-6. [DOI] [PubMed] [Google Scholar]

Upton 2013 {published data only}

  1. Upton D, Taylor C, Upton P. Parental provision and children's consumption of fruit and vegetables did not increase following the Food Dudes programme. Health Education 2014;114:58-66. [Google Scholar]
  2. Upton D, Upton P, Taylor C. Increasing children's lunchtime consumption of fruit and vegetables: an evaluation of the Food Dudes program. Public Health Nutrition 2013;16(6):1066-72. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Upton P, Taylor C, Upton D. The effects of the Food Dudes Programme on children's intake of unhealthy foods at lunchtime. Perspectives in Public Health 2015;135(3):152-9. [DOI] [PubMed] [Google Scholar]

Urrutia 2017 {published data only}

  1. Urrutia CN. Evaluation of a Nutrition Education Program Targeting Home-Based Child Care Centers [Thesis]. El Paso: University of Texas, 2017. [Google Scholar]

Utter 2017 {published data only}

  1. Utter J, Fay AP, Denny S. Child and youth cooking programs: more than good nutrition? Journal of Hunger & Environmental Nutrition 2017;12(4):554-80. [Google Scholar]

Vandeweghe 2016 {published data only}

  1. Vandeweghe L, Verbeken S, Moens E, Vervoort L, Braet C. Strategies to improve the willingness to taste: the moderating role of children's reward sensitivity. Appetite 2016;103:344-52. [DOI] [PubMed] [Google Scholar]

Van Horn 2005 {published data only}

  1. Van Horn L, Obarzanek E, Aronson Friedman L, Gernhofer N, Barton B. Children's adaptations to a fat-reduced diet: The Dietary Intervention Study in Children (DISC). Pediatrics 2005;115(6):1723-33. [DOI] [PubMed] [Google Scholar]

Van Horn 2011 {published data only}

  1. Van Horn L. Nutrition and child care: a healthy head start. Journal of the American Dietetic Association 2011;111(9):1282. [DOI] [PubMed] [Google Scholar]

Van Nassau 2015 {published data only}

  1. Van Nassau F, Singh AS, Van Mechelen W, Brug J, Chinapaw MJM. Implementation evaluation of school-based obesity prevention programmes in youth; how, what and why? Public Health Nutrition 2015;18(09):1531-4. [DOI] [PMC free article] [PubMed] [Google Scholar]

Van Stappen 2019 {published data only}

  1. Van Stappen V, De Lepeleere S, Huys N, Latomme J, Verloigne M, Cardon G, et al. Effect of integrating a video intervention on parenting practices and related parental self efficacy regarding health behaviours within the Feel4Diabetes-study in Belgian primary schoolchildren from vulnerable families: A cluster randomized trial. PLOS One 2019;14(12):e0226131. [DOI] [PMC free article] [PubMed] [Google Scholar]

Vaughn 2017 {published data only}

  1. Tovar A, Vaughn AE, Fisher JO, Benjamin NS, Burney R, Webster K, et al. Modifying the environment and policy assessment and observation (EPAO) to better capture feeding practices of family childcare home providers. Public Health Nutrition 2019;22(2):223-34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Vaughn AE, Mazzucca S, Burney R, Ostbye T, Neelon B, Tovar SE, et al. Assessment of nutrition and physical activity environments in family child care homes: modification and psychometric testing of the Environment and Policy Assessment and Observation. BMC Public Health 2017;17(1):680. [DOI] [PMC free article] [PubMed]

Vaughn 2019 {published data only}

  1. Vaughn AE, Studts CR, Powell BJ, Ammerman AS, Trogdon JG, Curran GM, et al. The impact of basic vs. enhanced Go NAPSACC on child care centers' healthy eating and physical activity practices: protocol for a type 3 hybrid effectiveness-implementation cluster-randomized trial. Implementation Science 2019;14(1):101. [DOI] [PMC free article] [PubMed] [Google Scholar]

Vecchiarelli 2005 {published data only}

  1. Vecchiarelli S, Prelip M, Slusser W, Weightman H, Neumann C. Using participatory action research to develop a school-based environmental intervention to support healthy eating and physical activity. American Journal of Health Education 2005;36(1):35-42. [Google Scholar]

Vega 2018 {published data only}

  1. Vega A, Stark L, Zion C, Ziegler M, Robson S. The relationship between physical activity and diet quality in preschool children with obesity. Journal of the Academy of Nutrition and Dietetics 2018;118(10):A150. [Google Scholar]

Veldhuis 2009 {published data only}

  1. Veldhuis L, Struijk MK, Kroeze W, Oenema A, Renders CM, Bulk-Bunschoten AMW, et al. 'Be active, eat right', evaluation of an overweight prevention protocol among 5-year-old children: design of a cluster randomised controlled trial. BMC Public Health 2009;9:177. [DOI] [PMC free article] [PubMed] [Google Scholar]

Viggiano 2012 {published data only}

  1. Viggiano E, Viggiano A, Vicidomini C, Di Costanzo A, Andreozzi E, Romano V, et al. Kaledo, a new educational board-game for nutrition education: cluster randomized trial of healthy lifestyle promotion. Obesity Facts 2012;5:260. [Google Scholar]

Vio 2014 {published data only}

  1. Vio F, Salinas J, Montenegro E, González CG, Lera L. Impact of a nutrition education intervention in teachers, preschool and basic school-age children in Valparaiso region in Chile. Nutricion Hospitalaria 2014;29(6):1298-304. [DOI] [PubMed] [Google Scholar]

Vitolo 2005 {published data only}

  1. Vitolo MR, Bortolini GA, Feldens CA, Drachler Mde L. Impacts of the 10 steps to healthy feeding in infants: a randomized field trial. Cadernos de Saude Publica / Ministerio da Saude, Fundacao Oswaldo Cruz, Escola Nacional de Saude Publica 2005;21:1448-57. [DOI] [PubMed] [Google Scholar]

Vitolo 2010 {published data only}

  1. Rauber F, Hoffman DJ, Vitolo MR. Diet quality from pre-school to school age in Brazilian children: a 4-year follow-up in a randomised control study. British Journal of Nutrition 2014;111(3):499-505. [DOI] [PubMed] [Google Scholar]
  2. Valmorbida JL, Vitolo MR. Factors associated with low consumption of fruits and vegetables by preschoolers of low socio-economic level. Jornal de Pediatria 2014;90:464-71. [DOI] [PubMed] [Google Scholar]
  3. Vitolo MR, Rauber F, Campagnolo PD, Feldens CA, Hoffman DJ. Maternal dietary counseling in the first year of life is associated with a higher healthy eating index in childhood. Journal of Nutrition 2010;140(11):2002-7. [DOI] [PubMed] [Google Scholar]

Vitolo 2014 {published data only}

  1. Vitolo MR, Louzada ML, Rauber F. Positive impact of child feeding training program for primary care health professionals: a cluster randomized field trial. Revista Brasileira de Epidemiologia [Brazilian journal of epidemiology] 2014;17(4):873-86. [DOI] [PubMed]

Wald 2017 {published data only}

  1. Wald ER, Ewing LJ, Moyer SCL, Eickhoff JC. An interactive web-based intervention to achieve healthy weight in young children. Clinical Pediatrics 2018;57(5):547-557. [DOI] [PMC free article] [PubMed] [Google Scholar]

Walsh 2016 {published data only}

  1. Walsh AD, Cameron AJ, Crawford D, Hesketh KD, Campbell KJ. Dietary associations of fathers and their children between the ages of 20 months and 5 years. Public Health Nutrition 2016;19(11):2033-9. [DOI] [PMC free article] [PubMed] [Google Scholar]

Walton 2015 {published data only}

  1. Walton K, Filion AJ, Darlington G, Morrongiello B, Haines J. Parents and tots together: adaptation of a family-based obesity prevention intervention to the Canadian context. Canadian Journal of Diabetes 2015;39:S72-3. [DOI] [PMC free article] [PubMed] [Google Scholar]

Wansink 2013 {published data only}

  1. Wansink B, Just DR, Hanks AS, Smith LE. Pre-sliced fruit in school cafeterias: children's selection and intake. American Journal of Preventive Medicine 2013;44(5):477-80. [DOI] [PubMed] [Google Scholar]

Wansink 2014 {published data only}

  1. Wansink B, Just D, Dollahite J, Latimer L, Thomas L, Hill T, et al. Smarter lunchrooms - does changing environments really give more nutritional bang for the buck? Journal of Nutrition Education and Behavior 2014;46(4 Supplement):S198-9. [Google Scholar]

Wansink 2018 {published data only}

  1. Wansink B, Just DR, Payne CR, Klinger MZ. Corrigendum to "Attractive names sustain increased vegetable intake in schools" (Prev. Med. (55)(4) (2012) (330-332)(S0091743512003222)(10.1016/j.ypmed.2012.07.012)). Preventive Medicine 2018;107:114-5. [DOI] [PubMed] [Google Scholar]

Ward 2011 {published data only}

  1. Ward DS, Vaughn AE, Bangdiwala KI, Campbell M, Jones DJ, Panter AT, et al. Integrating a family-focused approach into child obesity prevention: rationale and design for the My Parenting SOS study randomized control trial. BMC Public Health 2011;11:431. [DOI] [PMC free article] [PubMed] [Google Scholar]

Ward 2017 {published data only}

  1. Ward DS, Vaughn AE, Mazzucca S, Burney R. Translating a child care based intervention for online delivery: development and randomized pilot study of Go NAPSACC. BMC Public Health 2017;17(1):891. [DOI] [PMC free article] [PubMed] [Google Scholar]

Wardle 2003b {published data only}

  1. Wardle J, Herrera M-L, Gibson EL. Modifying children’s food preferences: the effects of exposure and reward on acceptance of an unfamiliar vegetable. European Journal of Clinical Nutrition 2003;57(2):341-8. [DOI] [PubMed] [Google Scholar]

Warschburger 2018 {published data only}

  1. Warschburger P, Gmeiner M, Morawietz M, Rinck M. Battle of plates: a pilot study of an approach-avoidance training for overweight children and adolescents. Public Health Nutrition 2018;21(2):426-34. [DOI] [PMC free article] [PubMed] [Google Scholar]

Wells 2005 {published data only}

  1. Wells L, Nelson M. The National School Fruit Scheme produces short-term but not longer-term increases in fruit consumption in primary school children. British Journal of Nutrition 2005;93:537-42. [DOI] [PubMed] [Google Scholar]

Wen 2007 {published data only}

  1. Baur L. Effectiveness of a home-based early intervention on children's BMI at age two years: randomised controlled trial. Obesity Facts 2012;5:34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Wen LM, Baur LA, Rissel C, Wardle K, Alperstein G, Simpson JM. Early intervention of multiple home visits to prevent childhood obesity in a disadvantaged population: a home-based randomised controlled trial (Healthy Beginnings Trial). BMC Public Health 2007;7:76. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Wen LM, Baur LA, Simpson JM, Rissel C, Wardle K, Flood VM. Effectiveness of home based early intervention on children's BMI at age 2: Randomised controlled trial. BMJ 2012;344:e3732. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Wen LM, Baur LA, Simpson JM, Rissel C, Wardle K, Flood VM. Healthy Beginnings trial: the journey from the beginning. Obesity Research and Clinical Practice 2013;7:e2. [Google Scholar]

Wen 2011 {published data only}

  1. Wen LM, Baur LA, Simpson JM, Rissel C, Flood VM. Effectiveness of an early intervention on infant feeding practices and "tummy time": a randomized controlled trial. Archives of Pediatrics & Adolescent Medicine 2011;165(8):701-7. [DOI] [PubMed] [Google Scholar]

Wen 2013 {published data only}

  1. Wen J, Wang NR, Zhao Y, Fan X, Ye Y. Effect of eating behavior intervention on infants in the urban area of Chongqing, China. Zhongguo Dangdai Erke Zazhi 2013;15:361-3. [PubMed] [Google Scholar]

Wen 2017 {published data only}

  1. Wen LM, Rissel C, Baur LA, Hayes AJ, Xu H, Whelan A, et al. A 3-arm randomised controlled trial of Communicating Healthy Beginnings Advice by Telephone (CHAT) to mothers with infants to prevent childhood obesity. BMC Public Health 2017;17(1):79. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Wen LM, Rissel C, Xu H, Taki S, Smith W, Bedford K, et al. Linking two randomised controlled trials for Healthy Beginnings©: optimising early obesity prevention programs for children under 3 years. BMC Public Health 2019;19(1):739. [DOI] [PMC free article] [PubMed] [Google Scholar]

Wengreen 2013 {published data only}

  1. Wengreen H, Aguilar S, Madden G. Incentivizing children’s intake of fruits and vegetables at school: a U.S. evaluation of the Food Dudes program. Journal of Nutrition Education and Behavior 2013;45(4 Supplement):S33. [DOI] [PubMed] [Google Scholar]

Wengreen 2018 {published data only}

  1. Jones BA, Madden GJ, Wengreen HJ. The FIT Game: preliminary evaluation of a gamification approach to increasing fruit and vegetable consumption in school. Preventive Medicine 2014;68:76-9. [DOI] [PubMed] [Google Scholar]
  2. Obray HK. The Development, Implementation, and Assessment of a Home Component to the FIT Game Healthy Eating Program [Thesis]. Utah State University, 2019. [Google Scholar]
  3. Wengreen H, Joyner D, Aguilar S, Madden G, Obray H. A randomized four school trial of the FIT Game Healthy Eating Program. Journal of the Academy of Nutrition and Dietetics 2018;118(10):A161. [Google Scholar]

Whaley 2010 {published data only}

  1. Whaley SE, McGregor S, Jiang L, Gomez J, Harrison G, Jenks E. A WIC-based intervention to prevent early childhood overweight. Journal of Nutrition Education and Behavior 2010;42(3S):S47-S51. [DOI] [PubMed] [Google Scholar]

Whiteside‐Mansell 2017 {published data only}

  1. Whiteside-Mansell L, Swindle TM. Together we inspire smart eating: a preschool curriculum for obesity prevention in low-income families. Journal of Nutrition Education and Behavior 2017;49(9):789-92. [DOI] [PMC free article] [PubMed] [Google Scholar]

Wijesinha‐Bettoni 2013 {published data only}

  1. Wijesinha-Bettoni R, Orito A, Löwik M, McLean C, Muehlhoff E. Increasing fruit and vegetable consumption among schoolchildren: efforts in middle-income countries. Food and Nutrition Bulletin 2013;34(1):75-94. [DOI] [PubMed] [Google Scholar]

Williamson 2013 {published data only}

  1. Williamson DA, Han H, Johnson WD, Martin CK, Newton RL Jr. Modification of the school cafeteria environment can impact childhood nutrition. Results from the Wise Mind and LA Health studies. Appetite 2013;61(1):77-84. [DOI] [PMC free article] [PubMed] [Google Scholar]

Wilson 2016 {published data only}

  1. Wilson A, Hartell B, Qu S, Martinez R. A one-year innovative fruit and vegetable sampling program for WIC children: Willow Comes to WIC. Journal of the Academy of Nutrition and Dietetics 2016;116(9):A10. [Google Scholar]

Wilson 2018 {published data only}

  1. Wilson TA, Liu Y, Adolph AL, Sacher PM, Barlow SE, Pont S, et al. Behavior modification of diet and parent feeding practices in a community- vs primary care-centered intervention for childhood obesity. Journal of Nutrition Education and Behavior 2018;20:20. [DOI] [PubMed] [Google Scholar]

Woodruff 2019 {published data only}

  1. Woodruff RC, Haardörfer R, Gazmararian JA, Ballard D, Addison AR, Hotz JA, et al. Home environment-focused intervention improves dietary quality: a secondary analysis from the Healthy Homes/Healthy Families randomized trial. Journal of Nutrition Education and Behavior 2019;51(1):96-100. [DOI] [PubMed] [Google Scholar]

Wright 2018 {published data only}

  1. Wright JA, Whiteley JA, Watson BL, Sheinfeld Gorin SN, Hayman LL. Tailored communications for obesity prevention in pediatric primary care: a feasibility study. Health Education Research 2018;33:14-25. [DOI] [PMC free article] [PubMed] [Google Scholar]

Wyatt 2013 {published data only}

  1. Wyatt KM, Lloyd JJ, Abraham C, Creanor S, Dean S, Densham E, et al. The Healthy Lifestyles Programme (HeLP), a novel school-based intervention to prevent obesity in school children: study protocol for a randomised controlled trial. Trials 2013;14:95. [DOI] [PMC free article] [PubMed] [Google Scholar]

Wyse 2014 {published data only}

  1. Fletcher A, Wolfenden L, Wyse R, Bowman J, McElduff P, Duncan S. A randomised controlled trial and mediation analysis of the 'Healthy Habits', telephone-based dietary intervention for preschool children. International Journal of Behavioral Nutrition and Physical Activity 2013;10:43. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Wyse R, Campbell KJ, Brennan L, Wolfenden L. A cluster randomised controlled trial of a telephone-based intervention targeting the home food environment of preschoolers (The Healthy Habits Trial): the effect on parent fruit and vegetable consumption. International Journal of Behavioral Nutrition and Physical Activity 2014;11:144. [DOI] [PMC free article] [PubMed] [Google Scholar]

Wyse 2019 {published data only}

  1. Wyse R, Delaney T, Gibbins P, Ball K, Campbell K, Yoong S L, et al. Cluster randomised controlled trial of an online intervention to improve healthy food purchases from primary school canteens: a study protocol of the 'click & crunch' trial. BMJ Open 2019;9(9):11. [DOI] [PMC free article] [PubMed] [Google Scholar]

Yeh 2017 {published data only}

  1. Yeh Y, Hartlieb KB, Danford C, Catherine JKL. Effectiveness of nutrition intervention in a selected group of overweight and obese African-American preschoolers. Journal of Racial and Ethnic Health Disparities 2017;11:11. [DOI] [PubMed]

Yin 2012 {published data only}

  1. Yin Z, Parra-Medina D, Cordova A, He M, Trummer V, Sosa E, et al. Miranos! Look at us, we are healthy! An environmental approach to early childhood obesity prevention. Childhood Obesity 2012;8(5):429-39. [DOI] [PMC free article] [PubMed] [Google Scholar]

Yoong 2017 {published data only}

  1. Yoong SL, Grady A, Wiggers J, Flood V, Rissel C, Finch M, et al. A randomised controlled trial of an online menu planning intervention to improve childcare service adherence to dietary guidelines: a study protocol. BMJ Open 2017;7(9):e017498. [DOI] [PMC free article] [PubMed]

Yoong 2019 {published data only}

  1. Yoong SL, Grady A, Seward K, Finch M, Wiggers J, Lecathelinais C, et al. The impact of a childcare food service intervention on child dietary intake in care: an exploratory cluster randomized controlled trial. American Journal of Health Promotion 2019;33(7):991-1001. [DOI] [PubMed] [Google Scholar]

Young 2017 {published data only}

  1. Young L. Under 5 Energize: Improving child nutrition and physical activity through early childhood centres [Thesis]. Auckland: Auckland University of Technology, 2017. [Google Scholar]

Zask 2012 {published data only}

  1. Adams J, Molyneux M, Squires L. Sustaining an obesity prevention intervention in preschools. Health Promotion Journal of Australia 2011;22(1):6-10. [DOI] [PubMed] [Google Scholar]
  2. Adams J, Zask A, Dietrich U. Tooty Fruity Vegie in Preschools: an obesity prevention intervention in preschools targeting children's movement skills and eating behaviours. Health Promotion Journal of Australia 2009;20(2):112-9. [DOI] [PubMed] [Google Scholar]
  3. Zask A, Adams JK, Brooks LO, Hughes DF. Tooty Fruity Vegie: an obesity prevention intervention evaluation in Australian preschools. Health Promotion Journal of Australia 2012;23(1):10-5. [DOI] [PubMed] [Google Scholar]

Zeinstra 2010 {published data only}

  1. Zeinstra GG, Renes RJ, Koelen MA, Kok FJ, De Graaf C. Offering choice and its effect on Dutch children's liking and consumption of vegetables: a randomized controlled trial. American Journal of Clinical Nutrition 2010;91(2):349-56. [DOI] [PubMed] [Google Scholar]

Zhou 2016 {published data only}

  1. Zhou G, Gan Y, Hamilton K, Schwarzer R. The role of social support and self-efficacy for planning fruit and vegetable intake. Journal of Nutrition Education and Behavior 2016;49(2):100-6. [DOI] [PubMed]

Zhou 2017 {published data only}

  1. Zhou N, Cheah CSL, Li Y, Liu J, Sun S. The role of maternal and child characteristics in Chinese children's dietary intake across three groups. Journal of Pediatric Psychology 2017;31:31. [DOI] [PMC free article] [PubMed] [Google Scholar]

Zongrone 2018 {published data only}

  1. Zongrone AA, Menon P, Pelto GH, Habicht JP, Rasmussen KM, Constas MA, et al. The pathways from a behavior change communication intervention to infant and young child feeding in Bangladesh are mediated and potentiated by maternal self-efficacy. Journal of Nutrition 2018;148(2):259-66. [DOI] [PMC free article] [PubMed] [Google Scholar]

Zota 2016 {published data only}

  1. Dalma A, Zota D, Kouvari M, Kastorini CM, Veloudaki A, Ellis-Montalban P, et al. Daily distribution of free healthy school meals or food-voucher intervention? Perceptions and attitudes of parents and educators. Appetite 2018;120:627-35. [DOI] [PubMed] [Google Scholar]
  2. Zota D, Dalma A, Petralias A, Lykou A, Kastorini CM, Yannakoulia M, et al. Promotion of healthy nutrition among students participating in a school food aid program: a randomized trial. International Journal of Public Health 2016;61(5):583–92. [DOI] [PubMed] [Google Scholar]

Zotor 2008 {published data only}

  1. Zotor FB, Amuna P. The food multimix concept: new innovative approach to meeting nutritional challenges in Sub-Saharan Africa. Proceedings of the Nutrition Society 2008;67(1):98-104. [DOI] [PubMed] [Google Scholar]

Østbye 2012 {published data only}

  1. Østbye T, Krause KM, Stroo M, Lovelady CA, Evenson KR, Peterson BL, et al. Parent-focused change to prevent obesity in preschoolers: results from the KAN-DO study. Preventive Medicine 2012;55(3):188-95. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Østbye T, Zucker NL, Krause KM, Lovelady CA, Evenson KR, Peterson BL, et al. Kids and adults now! Defeat Obesity (KAN-DO): rationale, design and baseline characteristics. Contemporary Clinical Trials 2011;32(3):461-9. [DOI] [PMC free article] [PubMed] [Google Scholar]

Μιχαλοπούλου 2019 {published data only}

  1. Μιχαλοπούλου Α. Παιδική παχυσαρκία, ο ρόλος του νοσηλευτή,-τριας [Thesis]. TEI Epirus, School of Health and Welfare Professions, School of Nursing, 2019. [Google Scholar]

References to studies awaiting assessment

Bersamin 2019 {published data only}

  1. Bersamin A, Paschall M, Ohle K, King D, Walch A. NP27 Tundra Gifts: harvesting local and regional resources to prevent obesity among Alaska native children in remote, underserved communities. Journal of Nutrition Education and Behavior 2019;51(7):S22. [Google Scholar]

Coulthard 2017 {published data only}

  1. Coulthard H, Sealy A. Play with your food! Sensory play is associated with tasting of fruits and vegetables in preschool children. Appetite 2017;113:84-90. [DOI] [PubMed] [Google Scholar]

Gross 2012 {published data only}

  1. Gross RS, Mendelsohn AL, Gross M, Taylor Lucas C, Fierman AH, Dreyer BP, et al. Starting Early/Empezando Temprano: randomized control trial (RCT) to test the effectiveness of an early obesity prevention program. Journal of Nutrition Education and Behavior 2012;44(4 Supplement):S82. [Google Scholar]
  2. Gross RS, Mendelsohn AL, Messito MJ. Additive effects of household food insecurity during pregnancy and infancy on maternal infant feeding styles and practices. Appetite 2018;19:19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Messito MJ, Katzow M, Mendelsohn A, Gross R. NP20 Starting Early: expansion of a primary care-based early child obesity prevention program. Journal of Nutrition Education and Behavior 2019;51(7):S19. [Google Scholar]
  4. Messito MJ, Mendelsohn AL, Gross M, Diaz K, Scheinmann R, Chiasson MA, et al. Starting Early/Empezando Temprano: randomized control trial (RCT) to test the effectiveness of an early obesity prevention program. Journal of Nutrition Education and Behavior 2014;46(4 Supplement):S196. [Google Scholar]
  5. Messito MJ, Mendelsohn AL, Gross M, Diaz K, Scheinmann R, Lucas CT, et al. Starting Early/Empezando Temprano: randomized control trial (RCT) to test the effectiveness of an early obesity prevention program. Journal of Nutrition Education and Behavior 2013;45(4 Supplement):S86. [Google Scholar]
  6. Messito MJ, Mendelsohn AL, Lucas CT, Gross M, Gross R. Starting Early: primary care-based obesity prevention beginning in pregnancy. Journal of Nutrition Education and Behavior 2013;45(4 Supplement):S10-1. [Google Scholar]

Hoppu 2015 {published data only}

  1. Hoppu U, Prinz M, Ojansivu P, Laaksonen O, Sandell MA. Impact of sensory-based food education in kindergarten on willingness to eat vegetables and berries. Food and Nutrition Research 2015;59:10.3402/fnr.v59.28795. [DOI] [PMC free article] [PubMed] [Google Scholar]

Hull 2014 {published data only}

  1. Hull PC, Emerson JS, Schmidt D, Vylegzhanina V, Quirk M, Mulvaney S, et al. Nashville Children Eating Well (CHEW) for Health: smartphone application for WIC-participating families. Journal of Nutrition Education and Behavior 2014;46(4 Supplement):S202. [Google Scholar]

Huye 2018 {published data only}

  1. Huye H, Connell C, Dufrene B, Yadrick K, Newkirk C. I-POP! development of a nutrition education and positive behavioral support program in Mississippi Head Start Centers. Journal of the Academy of Nutrition and Dietetics 2018;118(10):A140. [Google Scholar]

Karmali 2019 {published data only}

  1. Karmali S, Ng V, Battram D, Burke S, Morrow D, Pearson ES, et al. Coaching and/or education intervention for parents with overweight/obesity and their children: study protocol of a single-centre randomized controlled trial. BMC Public Health 2019;19(1):345. [DOI] [PMC free article] [PubMed] [Google Scholar]

Kim 2019b {published data only}

  1. Kim J, Kim G, Park J, Wang Y, Lim H. Effectiveness of teacher-led nutritional lessons in altering dietary habits and nutritional status in preschool children: adoption of a NASA Mission X-based program. Nutrients 2019;11(7):13. [DOI] [PMC free article] [PubMed] [Google Scholar]

Martinez 2018 {published data only}

  1. Martinez S, Johannsen J, Gertner G, Franco J, Exposito AB, Bartolini RM, et al. Effects of a home-based participatory play intervention on infant and young child nutrition: a randomised evaluation among low-income households in El Alto, Bolivia. BMJ Global Health 2018;3(3):13. [DOI] [PMC free article] [PubMed] [Google Scholar]

NCT02069249 {published data only}

  1. NCT02069249. Sleep, nutrition and psychological functioning in kindergarten children. clinicaltrials.gov/show/nct02069249 (first recevied 24 Feb 2014).

NCT02456623 {published data only}

  1. NCT02456623. Obesity intervention for low-income African American preschoolers. clinicaltrials.gov/show/nct02456623 (first recevied 28 May 2015).

NCT02789215 {published data only}

  1. NCT02789215. Proposed meal changes for CACFP: impact on child food intake and costs. clinicaltrials.gov/show/nct02789215 (first recevied 2 June 2016).

NCT02975232 {published data only}

  1. NCT02975232. Supermarket science: multipronged approaches to increasing fresh, frozen and canned fruit and vegetable purchases. clinicaltrials.gov/show/nct02975232 (first recevied 29 November 2016).

NCT03363048 {published data only}

  1. NCT03363048. Grocery assistance program study for families. clinicaltrials.gov/show/nct03363048 (first recevied 5 Dec 2017).

Rodrigo 2018 {published data only}

  1. Rodrigo ID, Dias K, Rathnayake G, Thilakarathne R, Shobowale E, De Silva L, et al. Successful adaptation of Myplate method for improving the quality of midday meal of pre-schoolers in Suburban Sri Lanka. Cogent Medicine 2018;5:103. [Google Scholar]

Roed 2019 {published data only}

  1. Roed M, Hillesund ER, Vik FN, Van Lippevelde W, Overby NC. The Food4toddlers study - study protocol for a web-based intervention to promote healthy diets for toddlers: a randomized controlled trial. BMC Public Health 2019;19:563. [DOI] [PMC free article] [PubMed] [Google Scholar]

Rosas 2017 {published data only}

  1. Rosas VM, Levy TS, Tapia BM, Gomez-Humaran IM. Impact of the National Crusade Against Hunger (CNCH) on anemia and dietary diversity among Mexican children. FASEB Journal 2017;31:No pagination. [Google Scholar]

Shah 2016 {published data only}

  1. Shah NB, Fenick AM, Rosenthal MS. A healthy weight for toddlers? Two-year follow-up of a randomized controlled trial of group well-child care. Clinical Pediatrics 2016;55(14):1354-7. [DOI] [PubMed] [Google Scholar]

Sharkey 2019 {published data only}

  1. Sharkey J, Meyer RU, Johnson C, Gomez L, Martinez L, Beltran E, et al. NP5 Salud Para Usted y Su Familia [Health for You and Your Family]: Integration of research, education and extension to promote healthier Mexican-heritage families. Journal of Nutrition Education and Behavior 2019;51(7):S11-2. [Google Scholar]

Wolnicka 2017 {published data only}

  1. Wolnicka K, Taraszewska A, Jaczewska-Schuetz J, Jarosz M, Niewiarowska M. Influence of school fruit and vegetable scheme on fruit and vegetable consumption among school children during 3 years of evaluation. Obesity facts 2017;10:128. [Google Scholar]

References to ongoing studies

Belanger 2016 {published data only}

  1. Belanger M, Humbert L, Vatanparast H, Ward S, Muhajarine N, Chow AF, et al. A multilevel intervention to increase physical activity and improve healthy eating and physical literacy among young children (ages 3-5) attending early childcare centres: the Healthy Start-Depart Sante cluster randomised controlled trial study protocol. BMC Public Health 2016;16(1):313. [DOI] [PMC free article] [PubMed] [Google Scholar]

Blomkvist 2018 {published data only}

  1. Blomkvist EA, Helland SH, Hillesund ER, Overby NC. A cluster randomized web-based intervention trial to reduce food neophobia and promote healthy diets among one-year-old children in kindergarten: study protocol. BMC pediatrics 2018;18(1):232. [DOI] [PMC free article] [PubMed] [Google Scholar]

Brophy‐Herb 2017 {published data only}

  1. Brophy-Herb H, Kerver J, Contreras D. Effectiveness of supports for family mealtimes on obesity prevention among Head Start preschoolers: screening phase results from the Simply Dinner Study. Journal of Nutrition Education and Behavior 2019;51(7 Supplement):S12-S13.
  2. Brophy-Herb HE, Horodynski M, Contreras D, Kerver J, Kaciroti N, Stein M, et al. Effectiveness of differing levels of support for family meals on obesity prevention among Head Start preschoolers: the Simply Dinner study. BMC Public Health 2017;17(1):184. [DOI] [PMC free article] [PubMed] [Google Scholar]

Helle 2017 {published data only}

  1. Helle C, Hillesund ER, Omholt ML, Overby NC. Early food for future health: a randomized controlled trial evaluating the effect of an eHealth intervention aiming to promote healthy food habits from early childhood. BMC Public Health 2017;17(1):729. [DOI] [PMC free article] [PubMed] [Google Scholar]

Hennink‐Kaminski 2017 {published data only}

  1. Hennink-Kaminski H, Ihekweazu C, Vaughn AE. Using formative research to develop the Healthy Me, Healthy We campaign: partnering childcare and home to promote healthy eating and physical activity behaviors in preschool children. Social Marketing Quarterly 2018;24(3):194-215.
  2. Hennink-Kaminski H, Vaughn AE, Hales D, Moore RH, Luecking CT, Ward DS. Parent and child care provider partnerships: protocol for the Healthy Me, Healthy We (HMHW) cluster randomized control trial. Contemporary Clinical Trials 2017;8:8. [DOI] [PubMed] [Google Scholar]
  3. Vaughn AE, Bartlett R, Luecking CT. Using a social marketing approach to develop Healthy Me, Healthy We: a nutrition and physical activity intervention in early care and education. Translational Behavioral Medicine 2018;10. [DOI] [PMC free article] [PubMed]

Horodynski 2011 {published data only}

  1. Horodynski MA, Baker S, Coleman G, Auld G, Lindau J. The Healthy Toddlers Trial protocol: an intervention to reduce risk factors for childhood obesity in economically and educationally disadvantaged populations. BMC Public Health 2011;11:581. [DOI] [PMC free article] [PubMed] [Google Scholar]

Hughes 2016a {published data only}

  1. Hughes SO, Power TG, Beck A, Betz D, Calodich S, Goodell LS, et al. Strategies for Effective Eating Development-SEEDS: design of an obesity prevention program to promote healthy food preferences and eating self-regulation in children from low-income families. Journal of Nutrition Education and Behavior 2016;48(6):405-418.e1. [DOI] [PubMed] [Google Scholar]

Ingalls 2019 {published data only}

  1. Ingalls A, Rosenstock S, Cuddy RF, Neault N, Yessilth S, Goklish N, et al. Family Spirit Nurture (FSN)–a randomized controlled trial to prevent early childhood obesity in American Indian populations: trial rationale and study protocol. BMC Obesity 2019;6(1):18. [DOI] [PMC free article] [PubMed] [Google Scholar]

Lee 2018a {published data only}

  1. Lee RE, Lorenzo E, Szeszulski J, Arriola A, Bruening M, Estabrooks PA, et al. Design and methodology of a cluster-randomized trial in early care and education centers to meet physical activity guidelines: Sustainability via Active Garden Education (SAGE). Contemporary Clinical Trials 2018;77:8-18. [DOI] [PMC free article] [PubMed] [Google Scholar]

Mehdizadeh 2018 {published data only}

  1. Mehdizadeh A, Nematy M, Khadem-Rezaiyan M, Ghayour-Mobarhan M, Sardar MA, Leis A, et al. A customized intervention program aiming to improve healthy eating and physical activity among preschool children: protocol for a randomized controlled trial (Iran Healthy Start Study). JMIR Research Protocols 2018;7:e11329. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Mehdizadeh HA, Nematy M, Khadem-Rezaiyan M, Norouzy A, Sardar MA, Vatanparast H. Implementing and pilot testing of a customized intervention to increase physical activity and healthy eating among preschool children: a randomized controlled trial. Clinical Nutrition 2019;38:S151. [Google Scholar]

NCT03229629 {published data only}

  1. NCT03229629. What promotes healthy eating? The roles of information, affordability, accessibility, gender, and peers on food consumption. clinicaltrials.gov/ct2/show/NCT03229629 (first received 25 July 2017).

NCT03597061 {published data only}

  1. NCT03597061. Healthy start to feeding pilot trial. clinicaltrials.gov/ct2/show/NCT03597061 (first recevied 24 July 2018).

Risica 2019 {published data only}

  1. Risica PM, Tovar A, Palomo V, Dionne L, Mena N, Magid K, et al. Improving nutrition and physical activity environments of family child care homes: the rationale, design and study protocol of the 'Healthy Start/Comienzos Sanos' cluster randomized trial. BMC Public Health 2019;19:419. [DOI] [PMC free article] [PubMed] [Google Scholar]

Seguin 2017 {published data only}

  1. Seguin R, Ammerman A, Hanson K. Farm Fresh Foods for Healthy Kids: innovative cost-offset community-supported agriculture intervention to prevent childhood obesity and strengthen local agricultural economies [2019]. Journal of Nutrition Education and Behavior;51(7, Supplement):S10-S11.
  2. Seguin RA, Morgan EH, Hanson KL, Ammerman AS, Jilcott Pitts SB, Kolodinsky J, et al. Farm Fresh Foods for Healthy Kids (F3HK): an innovative community supported agriculture intervention to prevent childhood obesity in low-income families and strengthen local agricultural economies. BMC Public Health 2017;17(1):306. [DOI] [PMC free article] [PubMed] [Google Scholar]

Sobko 2016 {published data only}

  1. Sobko T, Tse M, Kaplan M. A randomized controlled trial for families with preschool children - promoting healthy eating and active playtime by connecting to nature. BMC Public Health 2016;16(1):505. [DOI] [PMC free article] [PubMed] [Google Scholar]

UMIN000033818 {published data only}

  1. UMIN000033818. A pilot study for effects of vegetable juice on children's preference and amount of consumption for vegetables. WHO clinical trials (first recevied 1 Dec 2018).

Van der Veek 2019 {published data only}

  1. Van der Veek SM, De Graaf C, De Vries JH, Jager G, Vereijken C, Weenen H, et al. Baby's first bites: a randomized controlled trial to assess the effects of vegetable-exposure and sensitive feeding on vegetable acceptance, eating behavior and weight gain in infants and toddlers. BMC Pediatrics 2019;19(1):266. [DOI] [PMC free article] [PubMed] [Google Scholar]

Watt 2014 {published data only}

  1. Watt RG, Draper AK, Ohly HR, Rees G, Pikhart H, Cooke L, et al. Methodological development of an exploratory randomised controlled trial of an early years' nutrition intervention: the CHERRY programme (Choosing Healthy Eating when Really Young). Maternal & Child Nutrition 2014;10(2):280-94. [DOI] [PMC free article] [PubMed] [Google Scholar]

Østbye 2015 {published data only}

  1. Østbye T, Mann C, Namenek Brouwer R, Vaughn A, Bartlett R, Ward D. The keys to healthy family child care homes (KEYS) intervention study: design, rationale and baseline characteristics. Obesity Reviews 2014;15:238. [Google Scholar]
  2. Østbye T, Mann CM, Vaughn AE, Namenek Brouwer RJ, Benjamin Neelon SE, Hales D, et al. The keys to healthy family child care homes intervention: study design and rationale. Contemporary Clinical Trials 2015;40:81-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Tovar A, Vaughn AE, Fallon M, Hennessy E, Burney R, Østbye T, et al. Providers' response to child eating behaviors: a direct observation study. Appetite 2016;105:534-41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Ward DS, Vaughn AE, Burney RV, Hales D, Benjamin-Neelon SE, Tovar A, et al. Keys to healthy family child care homes: Results from a cluster randomized trial. Preventive Medicine 2019;132:105974. [DOI] [PMC free article] [PubMed] [Google Scholar]

Additional references

Ajzen 1991

  1. Ajzen I. The theory of planned behavior. Organizational Behavior and Human Decision Processes 1991;50(2):179-211. [Google Scholar]

Albuquerque 2018

  1. Albuquerque P, Brucks M, Campbell MC, Chan K, Maimaran M, McAlister AR, et al. Persuading children: a framework for understanding long-lasting influences on children’s food choices. Customer Needs and Solutions 2018;5(1-2):38-50. [Google Scholar]

Antova 2003

  1. Antova T, Pattenden S, Nikiforov B, Leonardi GS, Boeva B, Fletcher T, et al. Nutrition and respiratory health in children in six Central and Eastern European countries. Thorax 2003;58(3):231-6. [DOI] [PMC free article] [PubMed] [Google Scholar]

Australian Bureau of Statistics 2014

  1. Australian Bureau of Statistics. 4364.0.55.007 - Australian Health Survey: Nutrition First Results – Food and Nutrients, 2011-12. Canberra: Australian Bureau of Statistics, 2014. [Google Scholar]

Bandura 1986

  1. Bandura A. Social Foundations of Thought and Action: A Social Cognitive Theory. Englewood Cliffs, New Jersey: Prentice Hall, 1986. [Google Scholar]

Blanchette 2005

  1. Blanchette L, Brug J. Determinants of fruit and vegetable consumption among 6-12 year old children and effective interventions to increase consumption. Journal of Human Nutrition and Dietetics 2005;18(6):431-43. [DOI] [PubMed] [Google Scholar]

Boeing 2012

  1. Boeing H, Bechthold A, Bub A, Ellinger S, Haller D, Kroke A, et al. Critical review: vegetables and fruit in the prevention of chronic diseases. European Journal of Nutrition 2012;51(6):637-63. [DOI] [PMC free article] [PubMed] [Google Scholar]

Bonell 2015

  1. Bonell C, Jamal F, Melendez-Torres GJ, Cummins S. ‘Dark logic’: theorising the harmful consequences of public health interventions. Journal of Epidemiology and Community Health 2015;69(1):95. [DOI] [PubMed] [Google Scholar]

Branca 2019

  1. Branca F, Lartey A, Oenema S, Aguayo V, Stordalen GA, Richardson R, et al. Transforming the food system to fight non-communicable diseases. BMJ 2019;364:l296. [DOI] [PMC free article] [PubMed] [Google Scholar]

Burchett 2003

  1. Burchett H. Increasing fruit and vegetable consumption among British primary school children: a review. Health Education 2003;103(2):99-109. [Google Scholar]

Campbell 2007

  1. Campbell KJ, Hesketh KD. Strategies which aim to positively impact on weight, physical activity, diet and sedentary behaviours in children from zero to five years. A systematic review of the literature. Obesity Reviews 2007;8:327-38. [DOI] [PubMed] [Google Scholar]

Centers for Disease Control and Prevention 2011

  1. Centers for Disease Control and Prevention. Strategies to Prevent Obesity and Other Chronic Diseases. www.cdc.gov/obesity/downloads/fandv_2011_web_tag508.pdf 2011 (accessed 31st August 2017).

Cerin 2009

  1. Cerin E, Barnett A, Baranowski T. Testing theories of dietary behavior change in youth using the mediating variable model with intervention programs. Journal of Nutrition Education and Behavior 2009;41(5):309-18. [DOI] [PubMed] [Google Scholar]

Chapman 2017

  1. Chapman K, Goldsbury D, Watson W, Havill M, Wellard L, Hughes C, et al. Exploring perceptions and beliefs about the cost of fruit and vegetables and whether they are barriers to higher consumption. Appetite 2017;113:310-9. [DOI] [PubMed] [Google Scholar]

Ciliska 2000

  1. Ciliska D, Miles E, O'Brien MA, Turl C, Tomasik HH, Donovan U, et al. Effectiveness of community-based interventions to increase fruit and vegetable consumption. Journal of Nutrition Education 2000;32(6):341-52. [Google Scholar]

Cochrane 2017a

  1. The Cochrane Collaboration. CRS (Cochrane Register of Studies). community.cochrane.org/tools/data-management-tools/crs 2017.

Cochrane 2017b

  1. The Cochrane Collaboration. Cochrane Crowd. crowd.cochrane.org 2017.

Contento 1995

  1. Contento I, Balch GI, Bronner YL, Lytle LA, Maloney SK, Olson CM, et al. The effectiveness of nutrition education and implications for nutrition education policy, programs, and research: a review of research. Journal of Nutrition Education 1995;27(6):277-418. [Google Scholar]

Craigie 2011

  1. Craigie AM, Lake AA, Kelly SA, Adamson AJ, Mathers JC. Tracking of obesity-related behaviours from childhood to adulthood: a systematic review. Maturitas 2011;70:266-84. [DOI] [PubMed] [Google Scholar]

Delgado‐Noguera 2011

  1. Delgado-Noguera M, Tort S, Martínez-Zapata MJ, Bonfill X. Primary school interventions to promote fruit and vegetable consumption: a systematic review and meta-analysis. Preventive Medicine 2011;53:3-9. [DOI] [PubMed] [Google Scholar]

De Sa 2008

  1. De Sa J, Lock K. Will European agricultural policy for school fruit and vegetables improve public health? A review of school fruit and vegetable programmes. European Journal of Public Health 2008;18(6):558-68. [DOI] [PubMed] [Google Scholar]

Elkan 2000

  1. Elkan R, Kendrick D, Hewitt M, Robinson JJ, Tolley K, Blair M, et al. The effectiveness of domiciliary health visiting: a systematic review of international studies and a selective review of the British literature. Health Technology Assessment 2000;4(13):1-339. [PubMed] [Google Scholar]

Elliott 2017

  1. Elliott JH, Synnot A, Turner T, Simmonds M, Akl EA, McDonald S, et al. Living Systematic Reviews: 1. Introduction - the why, what, when and how. Journal of Clinical Epidemiology 2017;91:23-30. [DOI] [PubMed]

Evans 2012

  1. Evans CE, Christian MS, Cleghorn CL, Greenwood DC, Cade JE. Systematic review and meta-analysis of school-based interventions to improve daily fruit and vegetable intake in children aged 5 to 12 y. American Journal of Clinical Nutrition 2012;96(4):889-901. [DOI] [PubMed] [Google Scholar]

Fitzgibbon 2005

  1. Fitzgibbon ML, Stolley MR, Schiffer L, Van Horn L, KauferChristoffel K, Dyer A. Two-year follow-up results for Hip-Hop to Health Jr.: a randomized controlled trial. The Journal of Pediatrics 2005;146(5):618-25. [DOI] [PubMed] [Google Scholar]

Fitzgibbon 2006

  1. Fitzgibbon ML, Stolley MR, Schiffer L, Van Horn L, KauferChristoffel K, Dyer A. Hip-Hop to Health Jr. for Latino preschool children. Obesity (Silver Spring) 2006;14(9):1616-52. [DOI] [PubMed] [Google Scholar]

Fjeldsoe 2011

  1. Fjeldsoe B, Neuhaus M, Winkler E, Eakin E. Systematic review of maintenance of behaviour change following physical activity and dietary interventions. Health Psychology 2011;30(1):99-109. [DOI] [PubMed] [Google Scholar]

Forastiere 2005

  1. Forastiere F, Pistelli R, Sestini P, Fortes C, Renzoni E, Rusconi F, et al. Consumption of fresh fruit rich in vitamin C and wheezing symptoms in children. Thorax 2000;55(4):283-8. [DOI] [PMC free article] [PubMed] [Google Scholar]

Freedland 2011

  1. Freedland KE, Mohr DC, Davidson KW, Schwartz JE. Usual and unusual care: existing practice control groups in randomized controlled trials of behavioral interventions. Psychosomatic Medicine 2011;73(4):323-35. [DOI] [PMC free article] [PubMed] [Google Scholar]

French 2003

  1. French SA, Stables G. Environmental interventions to promote vegetable and fruit consumption among youth in school settings. Preventive Medicine 2003;37(6 Pt 1):593-610. [DOI] [PubMed] [Google Scholar]

Gerritsen 2019a

  1. Gerritsen S, Renker-Darby A, Harre S, Rees D, Raroa D A, Eickstaedt M, et al. Improving low fruit and vegetable intake in children: Findings from a system dynamics, community group model building study. PLOS One 2019;14(8):e0221107. [DOI] [PMC free article] [PubMed] [Google Scholar]

Gerritsen 2019b

  1. Gerritsen S, Harré S, Swinburn B, Rees D, Renker-Darby A, Bartos AE, et al. Systemic barriers and equitable interventions to improve vegetable and fruit intake in children: interviews with national food system actors. International Journal of Environmental Research and Public Health 2019;16(8):1387. [DOI] [PMC free article] [PubMed] [Google Scholar]

Global Burden of Disease 2017

  1. GBD 2017 Diet Collaborators. Health effects of dietary risks in 195 countries, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2019;393(10184):1958-72. [DOI] [PMC free article] [PubMed] [Google Scholar]

GRADEpro GDT [Computer program]

  1. McMaster University (developed by Evidence Prime) GRADEpro GDT. Version 30 September 2019. Hamilton (ON): McMaster University (developed by Evidence Prime), 2015. Available at gradepro.org.

Hartley 2013

  1. Hartley L, Iabinedion E, Holmes J, Flowers N, Thorogood M, Clarke A, et al. Increased consumption of fruit and vegetables for the primary prevention of cardiovascular diseases. Cochrane Database of Systematic Reviews 2013, Issue 6. Art. No: CD009874. [DOI: 10.1002/14651858.CD009874.pub2] [DOI] [PMC free article] [PubMed] [Google Scholar]

Hendrie 2017

  1. Hendrie GA, Lease HJ, Bowen J, Baird DL, Cox DN. Strategies to increase children's vegetable intake in home and community settings: a systematic review of literature. Maternal & Child Nutrition 2017;13(1):[Epub 29 February 2016]. [DOI: 10.1111/mcn.12276] [DOI] [PMC free article] [PubMed] [Google Scholar]

Hendy 1999

  1. Hendy HM. Comparison of five teacher actions to encourage children’s new food acceptance. Annals of Behavioral Medicine 1999;21(1):20-6. [DOI] [PubMed] [Google Scholar]

Hesketh 2010

  1. Hesketh KD, Campbell KJ. Interventions to prevent obesity in 0-5 year olds: an updated systematic review of the literature. Obesity 2010;18(Suppl. 1):S27-35. [DOI] [PubMed] [Google Scholar]

Higgins 2003

  1. Higgins JPT, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ 2003;327:557-60. [DOI] [PMC free article] [PubMed] [Google Scholar]

Higgins 2017

  1. Higgins JP, Altman DG, Sterne JA (editors). Chapter 8: Assessing risk of bias in included studies. In: Higgins JPT, Churchill R, Chandler J, Cumpston MS (editors), Cochrane Handbook for Systematic Reviews of Interventions version 5.2.0 (updated June 2017), Cochrane, 2017. Available from www.training.cochrane.org/handbook.

Holley 2017

  1. Holley CE, Farrow C, Haycraft E. A systematic review of methods for increasing vegetable consumption in early childhood. Current Nutrition Reports 2017;6(2):157-70. [DOI] [PMC free article] [PubMed] [Google Scholar]

Hopewell 2008

  1. Hopewell S, Wolfenden L, Clarke M. A survey of adverse event reporting in systematic reviews. Journal of Clinical Epidemiology 2008;61(6):597-602. [DOI] [PubMed] [Google Scholar]

Howerton 2007

  1. Howerton MW, Bell S, Dodd KW, Berrigan D, Stolzenberg-Solomon R, Nebeling L. School-based nutrition programs produced a moderate increase in fruit and vegetable consumption: Meta and pooling analyses from 7 studies. Journal of Nutrition Education and Behavior 2007;39:186-96. [DOI] [PubMed] [Google Scholar]

Inchley 2016

  1. Inchley J, Currie D, Young T, Samdal O, Torsheim T, Augustson L, et al. Growing up unequal: gender and socioeconomic differences in young people's health and well-being. Health Behaviour in School-aged Children (HBSC) study: international report from the 2013/2014 survey. Copenhagen: WHO Regional Office for Europe, 2016. [Google Scholar]

Jones 2011

  1. Jones R, Sinn N, Campbell KJ, Hesketh K, Denney-Wilson E, Morgan PJ, et al. The importance of long-term follow-up in child and adolescent obesity prevention interventions. International Journal of Pediatric Obesity 2011;6(3-4):178-81. [DOI] [PubMed] [Google Scholar]

Klepp 2005

  1. Klepp KI, Pérez-Rodrigo C, De Bourdeaudhuij I, Due PP, Elmadfa I, Haraldsdóttir J, et al. Promoting fruit and vegetable consumption among European schoolchildren: rationale, conceptualization and design of the Pro Children Project. Annals of Nutrition and Metabolism 2005;49(4):212-20. [DOI] [PubMed] [Google Scholar]

Knai 2006

  1. Knai C, Pomerleau J, Lock K, McKee M. Getting children to eat more fruit and vegetables: A systematic review. Preventive Medicine 2006;42(2):85-95. [DOI] [PubMed] [Google Scholar]

Lapinleimu 1995

  1. Lapinleimu H, Viikari J, Jokinen E, Salo P, Routi T, Leino A, et al. Prospective randomised trial in 1062 infants of diet low in saturated fat and cholesterol. Lancet 1995;345(8948):471-6. [DOI] [PubMed] [Google Scholar]

Lefebvre 2011

  1. Lefebvre C, Manheimer E, Glanville J. Chapter 6: Searching for studies. In: Higgins JPT, Green S, editor(s). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 (updated March 2011). The Cochrane Collaboration, 2011. Available from handbook.cochrane.org 2011.

Lock 2005

  1. Lock K, Pomerleau J, Causer L, Altmann DR, McKee M. The global burden of disease attributable to low consumption of fruit and vegetables: implications for the global strategy on diet. Bulletin of the World Health Organization 2005;83(2):100-8. [PMC free article] [PubMed] [Google Scholar]

Lynch 2014

  1. Lynch C, Kristjansdottir AG, Te Velde SJ, Lien N, Roos E, Thorsdottir I, et al. Fruit and vegetable consumption in a sample of 11-year-old children in ten European countries – the PRO GREENS cross-sectional survey. Public Health Nutrition 2014;17(11):2436-44. [DOI] [PMC free article] [PubMed] [Google Scholar]

Maynard 2003

  1. Maynard M, Gunnell D, Emmett PM, Frankel S, Davey Smith G. Fruit, vegetables, and antioxidants in childhood and risk of adult cancer: the Boyd Orr cohort. Journal of Epidemiology and Community Health 2003;57(3):218-25. [DOI] [PMC free article] [PubMed] [Google Scholar]

McCrabb 2019

  1. McCrabb S, Lane C, Hall A, Milat A, Bauman A, Sutherland R, et al. Scaling-up evidence-based obesity interventions: A systematic review assessing intervention adaptations and effectiveness and quantifying the scale-up penalty. Obesity Reviews 2019;20(7):964-82. [DOI] [PubMed] [Google Scholar]

Micha 2015

  1. Micha R, Khatibzadeh S, Shi P, Global Burden of Diseases Nutrition and Chronic Diseases Expert Group. Global, regional and national consumption of major food groups in 1990 and 2010: a systematic analysis including 266 country-specific nutrition surveys worldwide. BMJ 2015;5:e008705. [DOI] [PMC free article] [PubMed] [Google Scholar]

Miller 2000

  1. Miller M, Stafford H. An Intervention Portfolio to Promote Fruit and Vegetable Consumption: The Process and Portfolio. Melbourne: National Public Health Partnership, 2000. [Google Scholar]

National Cancer Institute 2015

  1. National Cancer Institute. Usual Dietary Intakes: Food Intakes, US Population, 2007-10. US, National Cancer Institute, 2015. [Google Scholar]

National Health and Medical Research Council 2013

  1. National Health and Medical Research Council. Australian Dietary Guidelines. Canberra: National Health and Medical Research Council, 2013. [Google Scholar]

Ness 2005

  1. Ness AR, Maynard M, Frankel S, Smith GD, Frobisher C, Leary SD, et al. Diet in childhood and adult cardiovascular and all cause mortality: the Boyd Orr cohort. Heart 2005;91(7):894-8. [DOI] [PMC free article] [PubMed] [Google Scholar]

Pearson 2008

  1. Pearson N, Biddle SJH, Gorely T. Family correlates of fruit and vegetable consumption in children and adolescents: a systematic review. Public Health Nutrition 2008;12(2):267-83. [DOI] [PubMed] [Google Scholar]

Peñalvo 2013a

  1. Peñalvo JL, Santos-Beneit G, Sotos-Prieto M, Martínez R, Rodríguez C, Franco M, et al. A cluster randomized trial to evaluate the efficacy of a school-based behavioral intervention for health promotion among children aged 3 to 5. BMC Public Health 2013;13:656. [DOI] [PMC free article] [PubMed] [Google Scholar]

Peñalvo 2013b

  1. Penalvo JL, Sotos-Prieto M, Santos-Beneit G, Pocock S, Redondo J, Fuster V. The Program SI! intervention for enhancing a healthy lifestyle in preschoolers: first results from a cluster randomized trial. BMC Public Health 2013;13:1208. [DOI] [PMC free article] [PubMed] [Google Scholar]

Peñalvo 2015

  1. Peñalvo J L, Santos-Beneit G, Sotos-Prieto M, Bodega P, Oliva B, Orrit X, et al. The SI! program for cardiovascular health promotion in early childhood: a cluster-randomized trial. Journal of the American College of Cardiology 2015;66:1525-34. [DOI] [PubMed] [Google Scholar]

Peters 2012

  1. Peters J, Sinn N, Campbell K, Lynch J. Parental influences on the diets of 2–5-year-old children: systematic review of interventions. Early Child Development and Care 2012;182:837-57. [Google Scholar]

Prochaska 1984

  1. Prochaska JO, DiClimente CC. The Transtheoretical Approach: Crossing Traditional Boundaries of Therapy. Homewood, Illinois: Dow Jones Irwin, 1984. [Google Scholar]

Rasmussen 2006

  1. Rasmussen M, Krølner R, Klepp KI, Lytle L, Brug J, Bere E, et al. Determinants of fruit and vegetable consumption among children and adolescents: a review of the literature. Part 1: quantitative studies. International Journal of Behavioral Nutrition and Physical Activity 2006;3:22. [DOI: 10.1186/1479-5868-3-22] [DOI] [PMC free article] [PubMed] [Google Scholar]

Review Manager 2014 [Computer program]

  1. Nordic Cochrane Centre, The Cochrane Collaboration Review Manager 5 (RevMan 5). Version 5.3. Copenhagen: Nordic Cochrane Centre, The Cochrane Collaboration, 2014.

Savoie‐Roskos 2017

  1. Savoie-Roskos MR, Wengreen H, Durward C. Increasing fruit and vegetable intake among children and youth through gardening-based interventions: a systematic review. Journal of the Academy of Nutrition and Dietetics 2017;117(2):240-50. [DOI] [PubMed] [Google Scholar]

Schünemann 2017

  1. Schünemann HJ, Oxman AD, Higgins JP, Vist GE, Glasziou P, Akl E, et al, on behalf of the Cochrane GRADEing Methods Group and the Cochrane Statistical Methods Group. Chapter 11: Completing ‘Summary of findings’ tables and grading the confidence in or quality of the evidence. In: Higgins JPT, Churchill R, Chandler J, Cumpston MS (editors), Cochrane Handbook for Systematic Reviews of Interventions version 5.2.0 (updated June 2017). Cochrane, 2017. Available from www.training.cochrane.org/handbook.

Simmonds 2017

  1. Simmonds MM, Salanti G, McKenzie J, Elliott JE, Living Systematic Review Network. Living Systematic Reviews 3: Statistical methods for updating meta-analyses. Journal of Clinical Epidemiology 2017;91:38-46. [DOI] [PubMed]

Sirasa 2019

  1. Sirasa F, Mitchell LJ, Rigby R, Harris N. Family and community factors shaping the eating behaviour of preschool-aged children in low and middle-income countries: a systematic review of interventions. Preventive Medicine 2019;129:105827. [DOI] [PubMed] [Google Scholar]

Spence 2014

  1. Spence AC, Campbell KJ, Crawford DA, McNaughton SA, Hesketh KD. Mediators of improved child diet quality following a health promotion intervention: the Melbourne InFANT Program. International Journal of Behavioral Nutrition and Physical Activity 2014;11(1):137. [DOI] [PMC free article] [PubMed] [Google Scholar]

Tedstone 1998

  1. Tedstone A, Aviles M, Shetty P, Daniels L. Effectiveness of interventions to promote healthy eating in preschool children aged 1 to 5 years: a review. Health Education Authority, London 1998;65.

US Department of Health and Human Services 2015

  1. US Department of Health and Human Services, US Department of Agriculture. 2015-2020 Dietary Guidelines for Americans. 8th Edition. Washington: US Department of Health and Human Services, 2015. [Google Scholar]

Van Cauwenberghe 2010

  1. Van Cauwenberghe E, Maes L, Spittaels H, Van Lenthe FJ, Brug J, Oppert JM, et al. Effectiveness of school-based interventions in Europe to promote healthy nutrition in children and adolescents: systematic review of published and 'grey' literature. British Journal of Nutrition 2010;103(6):781-97. [DOI] [PubMed] [Google Scholar]

Van der Horst 2007

  1. Van der Horst K, Oenema A, Ferreira I, Wendel-Vos W, Giskes K, Van Lenthe F, et al. A systematic review of environmental correlates of obesity related dietary behaviors in youth. Health Education Research 2007;22(2):203-26. [DOI] [PubMed] [Google Scholar]

Wallace 2017

  1. Wallace BC, Noel-Storr A, Marshall IJ, Cohen AM, Smalheiser NR, Thomas J. Identifying reports of randomized controlled trials (RCTs) via a hybrid machine learning and crowdsourcing approach. Journal of the American Medical Informatics Association 2017;24(6):1165-1168. [DOI] [PMC free article] [PubMed]

Waters 2011

  1. Waters E, De Silva-Sanigorski A, Hall BJ, Brown T, Campbell KJ, Gao Y, et al. Interventions for preventing obesity in children. Cochrane Database of Systematic Reviews 2011, Issue 12. Art. No: CD001871. [DOI: 10.1002/14651858.CD001871.pub2] [DOI] [PubMed] [Google Scholar]

Whitehead 2004

  1. Whitehead WE. Control groups appropriate for behavioral interventions. Gastroenterology 2004;126(1 Suppl 1):S159-63. [DOI] [PubMed] [Google Scholar]

Williams 2004

  1. Williams CL, Strobino BA, Bollella M, Brotanek J. Cardiovascular risk reduction in preschool children: the “Healthy Start” project. Journal of the American College of Nutrition 2004;23(2):117-23. [DOI] [PubMed] [Google Scholar]

Winpenny 2018

  1. Winpenny EM, Van Sluijs EM, White M, Klepp K-I, Wold B, Lien N. Changes in diet through adolescence and early adulthood: longitudinal trajectories and association with key life transitions. International Journal of Behavioral Nutrition and Physical Activity 2018;15(1):86. [DOI] [PMC free article] [PubMed] [Google Scholar]

Wolfenden 2010b

  1. Wolfenden L, Wiggers J, Tursan d'Espaignet E, Bell AC. How useful are systematic reviews of child obesity interventions. Obesity Reviews 2010;11(2):159-65. [DOI] [PubMed] [Google Scholar]

Wolfenden 2019a

  1. Wolfenden L, Reilly K, Kingsland M, Grady A, Williams C M, Nathan N, et al. Identifying opportunities to develop the science of implementation for community-based non-communicable disease prevention: a review of implementation trials. Preventive Medicine 2019;118:279-85. [DOI] [PubMed] [Google Scholar]

Wolfenden 2019b

  1. Wolfenden L, Bolsewicz K, Grady A, McCrabb S, Kingsland M, Wiggers J, et al. Optimisation: defining and exploring a concept to enhance the impact of public health initiatives. Health Research Policy and Systems 2019;17(1):108. [DOI] [PMC free article] [PubMed] [Google Scholar]

Wolfenden 2020

  1. Wolfenden L, Barnes C, Jones J, Finch M, Wyse R J, Kingsland M, et al. Strategies to improve the implementation of healthy eating, physical activity and obesity prevention policies, practices or programmes within childcare services. Cochrane Database of Systematic Reviews 2020, Issue 2. Art. No: CD011779. [DOI: 10.1002/14651858.CD011779.pub3] [DOI] [PMC free article] [PubMed] [Google Scholar]

World Health Organization 2003

  1. World Health Organization, UNICEF. Global strategy for infant and young child feeding. Geneva: WHO, 2003. [Google Scholar]

World Health Organization 2004

  1. World Health Organization. Fruit and vegetables for health: report of a joint FAO / WHO workshop, 1-3 September, 2004 Kobe Japan. www.who.int/dietphysicalactivity/publications/fruit_vegetables_report.pdf 2004.

World Health Organization 2011

  1. World Health Organization. Global Status Report on Non Communicable Diseases 2010. Geneva: WHO, 2011. [Google Scholar]

World Health Organization 2014

  1. World Health Organization. Health policy for children and adolescents, no 7. Growing up unequal: gender and socioeconomic differences in young people's health and well-being. Health Behaviour in School-aged Children (HBSC) Study: International Report from the 2013/2014 Survey. Denmark: WHO, 2014. [Google Scholar]

World Health Organization 2017

  1. World Health Organization. Global Strategy on Diet, Physical Activity and Health: Promoting fruit and vegetable consumption around the world. www.who.int/dietphysicalactivity/fruit/en/ (accessed 31st August 2017).

World Health Organization 2019

  1. World Health Organization. Increasing fruit and vegetable consumption to reduce the risk of noncommunicable diseases. www.who.int/elena/titles/fruit_vegetables_ncds/en/ (accessed 17 October 2019).

Wyse 2015

  1. Wyse R, Wolfenden L, Bisquera A. Characteristics of the home food environment that mediate immediate and sustained increases in child fruit and vegetable consumption: mediation analysis from the Healthy Habits cluster randomised controlled trial. International Journal of Behavioral Nutrition and Physical Activity 2015;12(1):118. [DOI] [PMC free article] [PubMed] [Google Scholar]

References to other published versions of this review

Hodder 2017

  1. Hodder RK, Stacey FG, Wyse RJ, O'Brien KM, Clinton-McHarg T, Tzelepis F, et al. Interventions for increasing fruit and vegetable consumption in children aged five years and under. Cochrane Database of Systematic Reviews 2017, Issue 9. Art. No: CD008552. [DOI: 10.1002/14651858.CD008552.pub3] [DOI] [PMC free article] [PubMed] [Google Scholar]

Hodder 2018a

  1. Hodder RK, Stacey FG, O'Brien KM, Wyse RJ, Clinton-McHarg T, Tzelepis F, et al. Interventions for increasing fruit and vegetable consumption in children aged five years and under. Cochrane Database of Systematic Reviews 2018, Issue 1. Art. No: CD008552. [DOI: 10.1002/14651858.CD008552.pub4] [DOI] [PMC free article] [PubMed] [Google Scholar]

Hodder 2018b

  1. Hodder RK, O'Brien KM, Stacey FG, Wyse RJ, Clinton-McHarg T, Tzelepis F, et al. Interventions for increasing fruit and vegetable consumption in children aged five years and under. Cochrane Database of Systematic Reviews 2018, Issue 5. Art. No: CD008552. [DOI: 10.1002/14651858.CD008552.pub5] [DOI] [PMC free article] [PubMed] [Google Scholar]

Hodder 2019

  1. Hodder, RK, O'Brien KM, Stacey FG, Tzelepis F, Wyse RJ, Bartlem KM, et al. Interventions for increasing fruit and vegetable consumption in children aged five years and under. Cochrane Database of Systematic Reviews 2019, Issue 11. Art. No: CD008552. [DOI: 10.1002/14651858.CD008552.pub6] [DOI] [PMC free article] [PubMed] [Google Scholar]

Wolfenden 2010a

  1. Wolfenden L, Wyse RJ, Britton BI, Campbell KJ, Hodder RK, Stacey FG, et al. Interventions for increasing fruit and vegetable consumption in preschool aged children. Cochrane Database of Systematic Reviews 2010, Issue 6. Art. No: CD008552. [DOI: 10.1002/14651858.CD008552] [DOI] [PMC free article] [PubMed] [Google Scholar]

Wolfenden 2012

  1. Wolfenden L, Wyse RJ, Britton BI, Campbell KJ, Hodder RK, Stacey FG, et al. Interventions for increasing fruit and vegetable consumption in children aged 5 years and under. Cochrane Database of Systematic Reviews 2012, Issue 11. Art. No: CD008552. [DOI: 10.1002/14651858.CD008552.pub2] [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from The Cochrane Database of Systematic Reviews are provided here courtesy of Wiley

RESOURCES