Abstract
Objective:
The current review aimed to synthesise the literature on food literacy interventions among adolescents in secondary schools, the attitudes and perceptions of food literacy interventions in secondary schools, and their effects on dietary outcomes.
Design:
The systematic review searched five electronic databases from the earliest record to present.
Setting:
The studies selected for the review were from sixteen countries: Australia (n 10), Canada (n 1), China (n 1), France (n 1), Greece (n 2), Iran (n 1), South Africa (n 1), South India (n 1), Kenya (n 1), Norway (n 2), Portugal (n 1), Denmark (n 1), Northern Ireland (n 1), USA (n 17), UK (n 1) and Sweden (n 2).
Participants:
Adolescents aged 10–19 years.
Results:
Forty-four studies were eligible for inclusion. Adolescents with greater nutritional knowledge and food skills showed healthier dietary practices. Studies found a mixed association between food literacy and long-term healthy dietary behaviour. Two studies showed an improvement in adolescents’ cooking skills and food safety knowledge; six studies showed an improvement in overall food safety knowledge; six studies showed an improvement in overall food and nutritional knowledge; and two studies showed an improvement in short-term healthy dietary behaviour.
Conclusions:
Food literacy interventions conducted in a secondary-school setting have demonstrated a positive impact on healthy food and nutritional knowledge. However, there appears to be limited evidence supporting food literacy interventions and long-term dietary behaviours in adolescents. More evidence-based research is required to adequately measure all domains of food literacy and more age-specific food literacy interventions.
Keywords: Adolescents, Secondary school, Food literacy, Systematic review, Dietary behaviours
Obesity has been identified as a significant health concern in the 21st century( 1 , 2 ). Poor dietary practices developed in childhood have been identified as a critical contributor to the development of preventable lifestyle diseases, including overweight and obesity and CVD( 3 , 4 ). In Australia, over one-quarter of adolescents are overweight or obese( 5 ). The importance of developing a healthy dietary behaviour during adolescence is critical in the prevention of obesity( 3 ).
Healthy dietary intake is essential for physical development, growth and normal weight management throughout adolescence( 2 ). Adolescents aged 12–18 years are advised to consume three servings of fruit and four servings of vegetables each day( 6 ). Globally and in Australia, the majority of adolescents do not consume sufficient fruit and vegetables, instead consuming high-fat, energy-dense, nutrient-poor foods( 7 , 8 ). Among adolescents aged 14–18 years, nearly three-quarters (73 %) were consuming below the recommended guideline amounts and over half (59 %) were having fewer than 1·5 servings of fruit and vegetables daily, including 41 % who usually consumed less than 1 serving/d( 5 ).
In response to the prevalence of inadequate dietary practices among adolescents, secondary schools have implemented numerous healthy food policies to promote healthy dietary behaviours( 9 , 10 ). However, interventions focusing on improving food and nutrition knowledge have been limited to changing only short-term dietary behaviour( 11 ). Food literacy is a relatively new and emerging concept used to describe a range of skills and knowledge around food, its uses, and daily dietary behaviours associated with healthy eating( 12 ). The term ‘food literacy’ is defined as: ‘a collection of interrelated knowledge, skills, and behaviours required to plan, manage, select, prepare and eat foods to meet needs and determine food intake’( 13 ) (p. 72). This term has been used increasingly in food and nutrition policy and research. Food literacy has emerged as a framework to connect food-related knowledge, cooking skills, and capacity to foster and develop food and nutritional knowledge to assist in changing dietary behaviour( 14 ).
Critical attributes of food literacy consist of nutrition knowledge, cooking skills, eating behaviours, knowledge of where food originates from and the ability to prepare healthy nutritious foods( 15 ). The school environment has been identified by the WHO as an ideal setting in which youth consume approximately one-third to one-half of their daily food intake( 16 , 17 ). Research exploring food literacy in secondary schools has emerged as a promising approach to fostering healthy dietary behaviours and educating students on health literacy knowledge( 18 ). Research into schools adopting a health-promoting approach suggests that nutrition programmes using a health-promoting school approach can increase participants’ consumption of high-fibre foods, healthier snacks, water, milk, fruit and vegetables( 19 ). Primary studies examining the effectiveness of food literacy programmes and interventions have identified an overall increase in nutrition-related knowledge and cooking skills, but minimal change in long-term healthy dietary behaviours( 20 , 21 ).
To date, only two literature reviews have explored food literacy programmes in secondary schools and the relationship between food literacy and dietary intake for adolescents( 20 , 21 ). Brooks and Begley( 20 ) explored the effectiveness of food literacy programmes targeting adolescents, their food literacy components and programme effectiveness in predominantly in Western countries. Vaitkeviciute et al. ( 21 ) conducted a systematic review from a global perspective to investigate the relationship between food literacy and adolescents’ dietary intake, and identified that food literacy might play a role in shaping adolescents’ dietary intake. Furthermore, the review identified that more rigorous research methods are required to assess the causality between food literacy and adolescent dietary intake to confirm the extent of the relationship( 21 ). Schoolyard garden programmes targeted to adolescents are emerging as a potential strategy in the school setting to increase preference for and improve dietary intake of fruit and vegetables( 22 ). Reviewing interventions in the school environment with the addition of a school-based garden and students’ and home-economics teachers’ attitudes and perceptions of food literacy interventions may provide an additional insight into the field of food literacy. Given the fact that food literacy has emerged recently in academia and government policies as an essential topic over the past decade, a comprehensive overview of studies that report on the effects and perceptions of food literacy interventions in secondary schools would provide an insight into food literacy interventions in secondary schools( 23 , 24 ).
The primary aim of the current review was to synthesise the literature on food literacy interventions in secondary schools and report on the associations among adolescents. Second, the review aimed to explore adolescents’ and home-economics teachers’ perceptions of food literacy interventions in secondary schools and their effects on dietary outcomes. Home-economics teachers predominantly provide education on culinary skills, food and nutrition in secondary schools. Although on a global scale culinary skills and nutrition can be taught by other topics in schools, home economics is the dominant topic in which food literacy can be taught in the secondary-school setting. Therefore, the objectives of the current review were to:
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1.
Report on the effect of food literacy interventions conducted in a secondary-school setting.
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2.
Explore adolescents’ attitudes and perceptions of food literacy programmes and the topic of home economics.
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3.
Explore home-economics teachers’ perspectives on food literacy programmes and the topic of home economics.
Methods
The current systematic literature review is registered with PROSPERO, the International Prospective Register of Systematic Reviews (CRD42017074204). As food literacy is a relatively new emerging term, changes were made to the protocol registered on PROSPERO. Our original inclusion criteria were: (i) studies focused on adolescents with low literacy; and (ii) to report valid and reliable measures of food literacy. However, as the review unfolded, two things became clear: in many cases, the evidence adhering to these two requirements is sparse given the notable diversity of study designs and intervention outcomes on food literacy research. Second, we could not gain critical insight from the parameters that we initially set. We therefore extended our criteria to a broader range of literature focusing on qualitative studies exploring secondary-school food literacy interventions regarding the social, biochemical and non-nutritional aspects.
A comprehensive systematic literature review search was conducted following the reporting recommendations outlined in the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) statement( 25 ). As recommended in the PRISMA statement, we completed the standard PRISMA checklist to provide further details of the implementation of the study (see online supplementary material). For the present systematic review, ‘food literacy’ was defined as ‘a collection of inter-related knowledge, skills and behaviours required to plan, manage, select, prepare and eat foods to meet needs and determine food intake’( 13 ) (p. 54). In light of the ubiquitous term of food literacy, the key components and attributes that the review focuses on are cooking skills, dietary behaviours, healthy food choices, food culture and knowledge.
Databases and keywords
The emerging concept of food literacy broadly consists of food and nutrition knowledge, skills and capacity to assist in making informed food choices and improve dietary behaviours( 12 ). Due to the multifaceted definition of food literacy, relevant search terms based on each component of food literacy were informed by the food literacy definition of Vidgen and Gallegos( 13 ) and encompass the following factors: knowledge, skills and behaviours with food planning, management, selection, preparation and eating. The following databases were selected as they offer broad coverage of allied health topics, including nutrition and public health literature: Medline, CINAHL, PsycINFO, Scopus and Web of Science (Science Citations Index and Social Citations Index). All electronic databases were searched from the earliest record to present. The PICOS (problem, intervention, comparison, outcome and setting) approach was applied to the quantitative and qualitative search( 26 ). For quantitative studies: problem = (effects of food literacy interventions), intervention = (food literacy intervention), outcome = (behaviours, healthy food choices, culture) and setting = (interventions conducted in secondary schools). For qualitative studies, the PICOS was reformulated with outcome = (changes in, or perceptions about, food literacy in secondary schools, or associations between food literacy and dietary intake and perceptions about secondary school-based food literacy programmes).
Students attending primary schools and/or outside the age range of 10–19 years were excluded from the study. Primary schools in some countries may end at age 12 years; middle school may consist of youth aged 12–14 years; and high school may end at the age of 16–17 years. To ensure that only students in secondary schools were included, the age of the participants was identified as the key exclusion criterion. Search terms and MeSH headings in the title, abstract and index terms were initially identified in SCOPUS, and the resulting keywords were used for the remaining databases (Table 1). An academic librarian who had expertise in health-related literature assisted with the development of MeSH headings and keywords, and wild cards were applied to words in the plural.
Table 1.
Advanced search |
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TITLE-ABS-KEY(Adolescen* OR Teen* OR Youth* OR Student* OR ‘young adult*’ OR ‘high school*’ OR Highschool* OR ‘secondary school*’ OR child* OR ‘pre-adolescen*’ OR preadolescen*) AND TITLE-ABS-KEY(REALM OR ‘rapid estimate of adult literacy in medicine’ OR ‘test of functional health literacy in adults’ OR TOFHLA OR ‘newest vital signs’ OR NVS OR ‘short range achievement test’ OR SAHLSA OR ‘Wide range achievement test’ OR WRAT OR ‘Food literac*’ OR ‘nutrition* literac*’ OR ‘health literac*’) AND TITLE-ABS-KEY(((school OR class*) W/3 food W/2 (program* OR initiative* OR project*)) OR (cook* W/3 (program* or class*)) OR ‘home economics’) |
Eligibility criteria
Studies were included in the current systematic review if they met the following inclusion criteria: (i) peer-reviewed and primary, original research; (ii) written in English; (iii) adolescents aged between 10 and 19 years old; (iv) the outcome of a programme related to an improvement in dietary habits, healthy food choices, nutrition knowledge and cooking skills; (v) cross-sectional, mixed-methods, quantitative and or qualitative; and (vi) no restriction on the year of publication. Studies were excluded if they were a personal opinion; a systematic review and meta-analysis; and if they focused on disease-related nutrition interventions for adolescents, such as for obesity, anorexia nervosa or type 2 diabetes mellitus, or included participants with dietary, medical conditions, mental health conditions and learning difficulties.
Procedures and synthesis
One researcher (C.J.B.) conducted the systematic literature search, full-text screening and extraction of studies. A PRISMA flow diagram was used to document the systematic review’s search and selection process of studies for inclusion (see Fig. 1). A list of potentially relevant articles from each database was identified, exported and saved into EndNote® version X8. Duplicates were identified and removed; potentially relevant articles were scanned to confirm relevance for full review by two authors independently (C.J.B. and P.R.W.). Both researchers (C.J.B. and P.R.W.) independently assessed and extracted the quantitative and qualitative data from papers included in the review using the standardised data extraction tool JBI-MASt-ARI and JBI-QARI, respectively( 27 ). Two independent reviewers conducted each stage of the review. Any reviewer conflicts were discussed to arrive at a consensus decision with the aid of the third reviewer (M.J.D). Ineligible articles were removed from the list after noting the reason for exclusion. Due to the various study designs and outcome measures, a meta-analysis was not conducted.
Outcomes assessed
The effects of food literacy interventions were based on measures of dietary outcomes (such as changes in students’ nutrition knowledge, cooking self-efficacy, fruit and vegetable choice, preference and consumption) and dietary intake (dietary recalls, FFQ) was assessed. Qualitative research was investigated to understand adolescents’ and home-economics teachers’ attitudes, understandings and perspectives on food literacy programmes in the secondary-school environment.
Risk of bias assessment
Studies were assessed for risk of bias in methodological quality by two independent researchers (C.J.B. and P.R.W.). The Academy of Nutrition and Dietetics’ Quality Criteria Checklist (QCC)( 28 ) was utilised to check the risk of bias in the included quantitative studies. The QCC consists of ten criteria that assess the quality of each quantitative study. The QCC tool was used to assess the scientific rigour of included quantitative nutritional studies. Each study’s attributes were assessed by the QCC and were classified as positive, negative or neutral. An overall quality score was given to each individual study. If individual QCC criteria were not appropriate, the overall score was based only on the appropriate QCC criteria. Qualitative studies were assessed for their methodological rigour and quality based on the critical appraisal checklist for qualitative studies provided by the National Institute for Health and Care Excellence( 29 ). The checklist includes fourteen criteria under the following domains: the theoretical approach and clarity of its aims; the rigour of the methods; how well the data collection was carried out; the relationship between the researcher and participants and reliability of the methods; the richness of the data and rigour and reliability of the analysis and findings; and the reporting of ethical issues( 29 ).
Results
A total of 382 papers were retrieved from five databases. From these studies, 285 did not qualify for review as they were not relevant to the topic, did not incorporate adolescents, the interventions were not conducted on school grounds or were not of empirical evidence (e.g. personal opinions). A full-article review was conducted on the remaining ninety-seven articles, after which fifty-two articles did not meet all the criteria and were excluded. Forward and backward searching, as well as a screening of Brooks and Begley( 20 ) and Vaitkeviciute et al.( 21 ), resulted in a total of forty-four publications (qualitative studies, n 7; quantitative studies, n 37). The flow diagram of the systematic review is presented in Fig. 1. A narrative synthesis was used to report the associations of the findings.
Overview of studies
The studies in the systematic review were published between 1990 and early 2017. Studies were conducted in Australia (n 10)( 30 – 39 ), Canada (n 1)( 40 ), China (n 1)( 41 ), France (n 1)( 42 ), Greece (n 2)( 43 , 44 ), Iran (n 1)( 45 ), South Africa (n 1)( 46 ), South India (n 1)( 47 ), Kenya (n 1)( 48 ), Norway (n 2)( 49 , 50 ), Portugal (n 1)( 51 ), Denmark (n 1)( 52 ), Northern Ireland (n 1)( 53 ), the USA (n 17)( 54 – 70 ), the UK (n 1)( 71 ) and Sweden (n 2)( 72 , 73 ).
Study designs included cross-sectional (n 16), quasi-experimental (n 13), pre–post intervention (n 1), randomised controlled trial (n 1) and longitudinal cohort study (n 1), observational (n 1), mixed methods (n 4) and qualitative (n 7). The number of adolescent participants ranged from twenty-two to 1488. The number of home-economics staff ranged from five to 118. Tables 2 and 3 provide an overview of the included studies, consisting of: country in which the study was conducted; study design; target group/sample size; duration of programme; theoretical underpinning; dietary outcome measure; food literacy attributes; and key findings.
Table 2.
Study details, country | Study design | Sample | Duration of intervention or study | Theory | Food literacy intervention | Food literacy attributes | Outcome measure | Key findings | |
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1 | Dewhurst and Pendergast (2011)( 31 ), Australia | Cross-sectional | Home-economics teachers (n 186) | Not stated | Not stated | Not applicable | Home-economics teachers’ perceptions on home economics and its relationship to sustainable development | Survey | There is agreement in the cross-cultural comparison findings on the importance of education for sustainable development |
2 | Dewhurst and Pendergast (2008)( 32 ), Australia | Cross-sectional | Home-economics teachers (n 186) | Not stated | Not stated | Not applicable | Teachers’ perspective on home economics | Survey | The field of sustainable development education has neglected studies of Home Economics education and its teachers’ perceptions about sustainable development education |
3 | Gracey et al. (1996)( 33 ), Australia | Cross-sectional | 15–16 years (n 391) | Not stated | SCT, TPB, HBM | Not applicable | Nutritional knowledge, beliefs and behaviours | 30-item food variety score; fat, fish, soft drinks and water consumption questionnaire | Nutritional knowledge scores were significantly greater in females |
4 | Jaenke et al. (2012)( 34 ), Australia | Quasi-experimental | 11–12 years of age (n 127) | 10 weeks | Not stated | Classes assigned to wait-list control, nutrition education only (NE) or nutrition education plus garden (NE+G) groups | F&V intake | Five-item food preference performance assessment tool; 24 h recalls | In the post hoc analysis by gender, both boys and girls in NE+G and NE groups were more willing to taste vegetables compared with control boys and girls post-intervention (P < 0·001, P = 0·02). Boys in the NE+G group were more willing to taste all vegetables overall compared with NE boys at post-test (P = 0·05) and this approached significance for girls (P = 0·07). For overall tasting scores, a group effect was seen in girls only (P = 0·05) |
5 | Morgan et al. (2010)( 35 ), Australia | Quasi-experimental | 11–12 years (n 127), 54 % boys | 10 weeks | Not stated | 10-week intervention with nutrition education and garden (NE&G), nutrition education (NE) only and control groups. F&V knowledge | Taste vegetables, identify vegetables, willingness to taste vegetables | 24 h recalls | School gardens can positively improve primary-school students’ willingness to taste vegetables and their vegetable taste ratings |
6 | Pendergast and Dewhurst (2012)( 36 ), Australia | Cross-sectional | Home-economics teachers (n 1188) | Not stated | Not stated | Not applicable | Provide insights on food literacy curriculum | Online survey | Differences in home-economic teachers’ understanding on food literacy |
7 | Ronto et al. (2016)( 37 ), Australia | Mixed method | Home-economics teachers (n 205) | Not stated | Not stated | Not applicable | Examines home-economics teachers’ perspectives of the importance, curriculum, self-efficacy and food environments | 20-item cross-sectional survey | Many environmental barriers were reported that could influence food literacy education in Australian high schools such as: lack of teaching materials, facilities and human resources; the perceived inadequacy of the Australian school curriculum; non-supportive school canteens; and negative role modelling |
8 | Ronto et al. (2016)( 38 ), Australia | Cross-sectional | Home-economics teachers (n 205) | Not stated | ANGELO framework | Not applicable | Home economic teachers’ experience of food literacy education in Australian high schools | Survey | Home economic teachers rated aspects of food literacy including preparing and cooking food, knowing about healthy foods, and food safety and hygiene practices as very important. They indicated animal welfare, where food comes from, and plan and manage time for food shopping to be the least important aspects of food literacy. Home-economics teachers reported that students’ involvement in food literacy activities resulted in healthier diets and improved food practices, but the schools’ food environments are not comprehensively supportive of food literacy |
9 | Ronto et al. (2016)( 39 ), Australia | Mixed method | Home-economics teachers (n 205) | Not stated | Not stated | Not applicable | Examines home-economics teachers’ perspectives of the importance, curriculum, self-efficacy and food environments | 20-item cross-sectional survey | Many environmental barriers were reported that could influence food literacy education in Australian high schools such as: lack of teaching materials, facilities and human resources; the perceived inadequacy of the Australian school curriculum; non-supportive school canteens; and negative role modelling |
10 | Slater (2013)( 40 ), Canada | Mixed methods | Teachers (n 13) | 10 years | Not stated | Not applicable | Examined the experiences and perceptions of Home Economics Food and Nutrition (HEFN) programming by teachers and school officials | Administrative records, in-depth interviews and surveys | Results revealed that although enrolment, including boys, increased slightly over the study period, the majority of children do not take HEFN classes. Further, enrolment decreased significantly from grades 7 (45·77 %) to 12 (7·61 %). HEFN education faces significant challenges |
11 | Zhou et al. (2016)( 41 ), China | Mixed study | 10–15 years of age (n 1058) | 9 months | Not stated | Educational intervention consisted of both prize quiz game about nutrition and food safety | Nutrition knowledge, good personal eating habits, the prevention of nutrient deficiency diseases and food safety knowledge | Effectiveness evaluation questionnaires | Nutrition knowledge scores increased for the intervention group |
12 | Turnin et al. (2016)( 42 ), France | Quasi-experimental | 13–16·4 years of age (n 580) | 1 year | Not stated | Nutri-Advice Kiosk – nutrition skills and food choices | Nutrition skills and food choice | Children’s food choice competency changes and BMI | Across the study, children chose significantly less cheese and pastry or desserts, and significantly more starchy food and dairy, and tended to choose F&V more often |
13 | Petralias et al. (2016)( 42 ), Greece | Quasi-experimental | 10·4 years of age (n 25 349) | 8-month intervention | Not stated | Students received a daily healthy meal designed by nutrition specialists | Food insecurity | Food Security Survey Module Questionnaire (FSSM) | About 64·2 % of children’s households experienced food insecurity at baseline. The study findings suggest that participation in a school-based food aid programme may reduce food insecurity for children and their families in a developed country in times of economic hardship |
14 | Tsartsali et al. (2009)( 44 ), Greece | Cross-sectional | 15–17 years (n 200) | Not stated | Not stated | Not applicable | Adherence to the Mediterranean diet pattern (MDP) | MDP questionnaire, FFQ and KIDMED index score | More than half of participants had poor or very poor actual MDP knowledge. Actual knowledge was the only predictor of MDP adherence |
15 | Mirmiran et al. (2007)( 45 ), Iran | Cross-sectional | 10–18 years (mean age 14 (SD 1) years; n 7669) | Not stated | Not stated | Not applicable | Nutritional knowledge and dietary intake | Willett semi-quantitative FFQ; nutritional knowledge, attitudes and practice (KAP) questionnaire; BMI | Significant difference between genders in KAP, with females having higher nutrition knowledge scores. Males had better nutritional practices |
16 | Venter and Winterbach (2010)( 46 ), South Africa | Cross-sectional | 17–18 years (n 168) | Not stated | Not stated | Not applicable | Dietary fat knowledge questionnaire | A screening questionnaire for fat intake | The association between fat knowledge scores and intake of the participants was significant |
17 | Gewa et al. (2013)( 48 ), Kenya | Randomised controlled trial | 2–15 years of age (n 182) | 2 years | Not stated | Schools randomised to one of four snack groups: (i) control (no food supplement); (ii) vegetarian supplement (a feeding based on a traditional local dish); (iii) milk supplement; and (iv) meat supplement | Diet quality, nutrient intake | 24 h recalls | There was no evidence that schoolchildren who received supplementary snacks at school experienced reduced intakes at home or that intakes by other family members were increased at the expense of the schoolchild’s intake |
18 | Klepp and Wilhelmsen (1993)( 49 ), Norway | Quasi-experimental | Age not stated (n 447) | 12 months | A theoretical framework, organising factors believed to influence the changes in eating patterns of adolescents into four structures: available food products, social environment, personality factors and behavioural factors | Education programme, followed up by a survey | Healthy eating behaviour between males and females | Short FFQ, healthy eating knowledge score | Programme demonstrated ability to integrate curriculum activities designed to modify students’ eating behaviour in home economics courses |
19 | Øverby et al. (2012)( 50 ), Norway | Cross-sectional | Age 10–12 years (n 1488) | 7 years | Not stated | No intervention | Frequency of consumption of unhealthy snacks (soda, candy, potato chips) from 2001 to 2008 | Questionnaire surveys | Between 2001 to 2008, the frequency of unhealthy snack consumption decreased from 6·9 to 4·6 times/week (P = 0·001). The decrease was largest in the schools that had been included in the national free school fruit programme (22·8 times/week). The effect of the school fruit programmes was significant in reducing the frequency of unhealthy snack consumption in children of parents without higher education (from 7·8 to 4·0 times/week; P = 0·004) |
20 | da Rocha Leal et al. (2011)( 51 ), Portugal | Cross-sectional | 7th, 8th, 9th grade (mean age 13·5 years; n 390) | 2 months | Not stated | Not applicable | Cooking habits and skills, adherence to the Mediterranean diet | KIDMED index score | One in ten adolescents did not know how to cook. Better cooking habits and skills were positively related with adolescents’ adherence to the Mediterranean diet |
21 | Osler and Hansen (1993)( 52 ), Denmark | Cross-sectional | 12–14 years (n 674) | Not applicable | Not stated | Not applicable | Nutrition, sugar, fat, fibre | Frequency questionnaire assessing the consumption of fourteen different food items | Adolescents had better knowledge about fat and sugar than dietary fibre. The mean nutrition knowledge increased with healthier dietary habits |
22 | Chapman et al. (1997)( 56 ), USA | Pre–post intervention | 14–18 years (n 72, females only) | Not stated | Not stated | Two groups, one control and one experimental. Experimental group received nutrition education | Nutrition knowledge | 24 h dietary recall and modified version of nutrition knowledge and attitudes questionnaire | Post-test nutrition knowledge scores increased significantly and were higher than in the control group |
23 | Evans et al. (2012)( 57 ), USA | Quasi-experimental | Low-income adolescents aged 12–14 years (n 214) in 6th grade | 10 weeks; three 1 h nutrition education sessions in regular class time, 45 min four times per week in school garden | SCT | The Sprouting Healthy Kids intervention consisted of six components: (i) in-class lessons; (ii) after-school gardening programme; (iii) farm-to-school; (iv) farmers’ visits to schools; (v) taste testing; (vi) field trips to farms | F&V consumption | F&V consumption; motivation for eating F&V; self-efficacy for eating F&V; F&V preference; preference for unhealthy foods; knowledge. Student SHK Questionnaire | Students who were exposed to two or more intervention components scored significantly higher on self-efficacy, knowledge, preferences for unhealthy foods and increased intake of F&V (P < 0·05) |
24 | Gans et al. (1990)( 58 ), USA | Observational | Age not stated (n 105) | 1 year | Not stated | Heart Healthy Cook-off programme | Nutrition, food purchasing techniques and heart-healthy cooking methods and education on the relationship between diet and blood cholesterol | Blood cholesterol SCORE (screening, counselling and referral event) | Forty per cent had elevated blood cholesterol level of 170 mg/dl or above. A statistically significant decrease in blood cholesterol level was observed during a 12-week time period. The Cook-off is a fun, effective programme for teaching secondary-school students about heart healthy |
25 | Huang et al. (2004)( 59 ), USA | Cross-sectional | 10–19 years (n 301) | Not stated | Not stated | Not applicable | Reading nutrition labels | Fat screener | Boys reading nutrition labels was associated with higher fat intake. Frequency of reading nutrition labels was not associated with healthier diet |
26 | Jarpe-Ratner et al. (2016)( 60 ), USA | Quasi-experimental | 8–13 years of age (n 271) | 10 weeks | Not stated | Ten-week (2 h/week) chef-instructor-led programme held in cafeteria kitchens after school | Nutrition knowledge, cooking self-efficacy, F&V liking and consumption, and communication to family about healthy eating | Quasi-experimental pre–post survey design | Nutrition knowledge score increased from 0·6 to 0·8, cooking self-efficacy score from 3·2 to 3·6, and vegetable consumption score from 2·2 to 2·4 (all P < 0·05). Increased score for communication about healthy eating (4·1 to 4·4; P < 0·05) 6 months after the end of the course |
27 | Larson et al. (2006)( 61 ), USA | Cross-sectional | 11–18 years (n 4746) | Not stated | Not stated | Not applicable | Preparation and shopping for food | Youth/Adolescent FFQ | Greater involvement in food tasks was significantly related gender, school grade, race, SES, family meal frequency and weight status |
28 | Laska et al. (2012)( 62 ), USA | Longitudinal cohort | 15–28 years (n 1321) | 10 years | Not stated | Not appropriate | Enjoyment of cooking, food preparation, relationship between food practices in adolescence | Youth/Adolescence FFQ and Willett semi-quantitative FFQ | Adolescents who helped prepare food for dinner were more likely to engage in food preparation as emerging adults (19–23 years old) |
29 | Long and Stevens (2004)( 63 ), USA | Quasi-experimental | 12–16 years old (n 121) | 1 month | SCT and TM | Combination of 5 h of web-based instruction and 10 h of classroom curriculum, compared with nutrition education embedded in the standard school curriculum during a 1-month period | Self-efficacy for healthy eating and eating behaviour | Six questionnaires; Youth/Adolescence FFQ | The intervention group had significantly higher scores for self-efficacy for F&V, self-efficacy for lower fat, usual food choices and dietary knowledge of fat compared with the control group. No difference was found between groups in food consumption. Self-efficacy was significantly associated with dietary knowledge of lower fat, usual food choices, and was inversely associated with lower fat consumption in the hypothesised model of eating behaviour. The intervention was tailored to the social and developmental preferences of adolescents and effectively increased self-efficacy for healthy eating |
30 | McAleese and Fada (2007)( 64 ), USA | Quasi-experimental | 10–13 years of age (mean age 11·11 years; n 99) | 12 weeks | Not stated | Control group: three 24 h food recall workbooks before and after the intervention. Two treatment groups: (i) garden-based activities; (ii) 12-week nutrition education programme | F&V consumption | 24 h recall food workbooks | Greater increase in F&V servings in adolescents in the garden-based nutrition group (0·8 (sd 0·8) to 1·0 (sd 1·4), P < 0·001 for fruit; 1·9 (sd 0·6) to 2·6 (sd 1·7), P < 0·001 for vegetables) compared with controls. Also, significant increases in vitamin A (P = 0·004), vitamin C (P = 0·016) and fibre (P = 0·001) intakes |
31 | Miller (2014)( 65 ), USA | Cross-sectional | Age not stated, 12th grade (n 1800) | 2 months | Not stated | Observation of students’ food item choices | Food choice of breakfast selection of milk, juice and yoghurt | Observations and checklists | Secondary-school females were more likely to choose yoghurt than males (OR = 1·931, P = 0·0033). Elementary students who chose no milk were more likely to choose yoghurt than students who chose either white milk (OR = 3·592, P ≤ 0·0001) or chocolate milk (OR = 2·273, P = 0·0005). Secondary students who chose no milk were more likely to choose yoghurt than students who chose white milk (OR = 3·494, P = 0·0060) |
32 | Pirouznia (2001)( 66 ), USA | Cross-sectional | 10–13 years (n 532) | Not stated | Not stated | Not applicable | Nutritional knowledge and eating behaviour | CANKAP questionnaire | Females had higher mean nutrition knowledge scores than boys in the 7th and 8th grades. There was no correlation between nutrition knowledge and eating behaviour in both genders in the 6th grade, and a correlation only for males in the 7th and 8th grades |
33 | Ratcliffe et al. (2011)( 67 ), USA | Pre–post quasi-experimental study | 11–13 years (n 232) | 13 weeks | SCT | 236 students completed the Garden Vegetable Frequency Questionnaire and 161 students completed a taste test | Knowledge, attitudes, vegetable consumption | Vegetable Frequency Questionnaire; Garden Vegetable Frequency Questionnaire; 24 h recall | Students were able to identify vegetables and had an increased preference for vegetables generally |
34 | Schober et al. (2016)( 68 ), USA | Quasi-experimental | Age not stated (24 districts) | 1 week | Not stated | The LiveWell@School Food Initiative consisted of: (i) a 1 d food services operation seminar for the FSD and financial director and a 2 d culinary workshop for the FSD and their kitchen staff; (ii) on-site chef consultation in school districts; (iii) action planning; and (iv) and equipment grant | Culinary training, action planning and equipment grants | Questionnaire, in-person review of school food records with FSD | Data show that districts changed an average of 17·4 entrées and 19·7 side dishes over the course of the year |
35 | Trexler and Sargent (1993)( 69 ), USA | Cross-sectional | 14–18 years (n 600) | Not stated | Not stated | Nutrition knowledge questionnaire | Cholesterol, saturated fat, total fat and sodium | 24 h dietary recall | Physiological knowledge of sodium was significantly associated with sodium intake, but other dietary knowledge scores were not associated with dietary intakes |
36 | Williams et al. (2016)( 70 ), USA | Quasi-experimental | 8–11 years of age (n 225) | Unclear | SCT, TRA, positive feedback loops | One control school and two intervention schools (three 1 h, assembly-style, hip-hop themed, multimedia classes) | Food purchases and calorie labels | Hip Hop HEAL multimedia classes | A mean total of 225 children participated in two baseline pre-intervention sales with and without calorie labels; 149 children participated in immediate post-intervention food sales; while 133 children participated in the delayed sales. No significant change in purchased energy was observed in response to labels alone before the intervention. However, a mean decline in purchased energy of 20 % (P < 0·01) and unhealthy foods (P < 0·01) was seen immediately following the intervention compared with baseline purchases, and this persisted without significant decay after 7 d and 12 d |
37 | Caraher et al. (2013)( 71 ), UK | Quasi-experimental intervention | 9–11 years (n 169) | 2–4 weeks | Not stated | Professional chefs delivered three sessions to one class over a year | Food, health, nutrition and cookery skills | Vegetable consumption scale, cooking confidence, food preparation | There was an improvement in cooking skills and confidence to prepare food, and average reported vegetable consumption increased after the session with the chef |
SCT, Social Cognitive Theory; TPB, Theory of Planned Behaviour; HBM, Health Belief Model; ANGELO, Analysis Grid for Environments Linked to Obesity; TM, Transtheoretical Model; TRA, Theory of Reasoned Action; F&V, fruit(s) and vegetable(s); FSD, food service director; SES, socio-economic status.
Table 3.
Study details, country | Population | Key findings | Theoretical underpinnings | Attitudes/perceptions | Recommendations for interventions/programmes | |
---|---|---|---|---|---|---|
1 | Ronto et al. (2017)( 30 ), Australia | Home-economics teachers (n 22) | Home-economics teachers stated that time was insufficient to develop sustainable food-related life skills and introduce broader concepts of food literacy such as environmental sustainability | Not stated | Lack of financial resources, non-supportive school food environments, including school canteens, were reportedly major factors that prevented food literacy education and healthy dietary behaviour of adolescents | Increasing the status of food literacy education in schools would assist in changing dietary behaviour in the home setting |
2 | Swaminathan et al. (2009)( 47 ), South India | 7–15 years of age (n 307) | Interviews of participants revealed seven concepts. Older children from higher SES’s perception of the meaning of healthy eating was largely based on diet composition. Unhealthy foods were not related to age group and SES. Knowledge did not translate into eating choice, with no difference in intake of fried foods/snacks, aerated drinks, fast foods, sweets and chocolates evident across age, group, gender, SES and mother’s education level | Not stated | Difficulties in changing dietary behaviour | More targeted programmes on healthy eating education are required for people from low-SES areas |
3 | McKinley et al. (2005)( 53 ), Northern Ireland | 11–12 years old (52 boys, 54 girls) | A number of barriers to, and motivations for, healthy eating that should be accounted for when planning nutrition intervention strategies aimed at children moving into adolescence | Not stated | Major barriers to healthy eating were taste, appearance of food, filling power, time/effort, cost, choice/availability, risk rebellion and body image/weight concerns | Changes at a policy level are required to attempt to address some of the barriers to, and motivations for, healthy eating. Addressing barriers such as available, attractive and affordable healthy foods in the school canteen may prove more difficult without changes at policy level |
4 | Chatterjee et al. (2016)( 54 ), USA | 9–12 years of age, 13–19 years of age (n 32) | Ten themes emerged from focus groups and interviews, in three categories: impressions of the food, insufficient potion size, dislike of the taste, appreciation of the freshness, increased unhealthy food consumption outside school), impact of learning (learning what’s healthy, the programme’s innovativeness, control v. choice), concerns about stakeholder engagement (lack of student/family engagement, culturally incompatible foods) | Not stated | Major barriers identified: changes to improve taste, stakeholder engagement, large school food programme changes to address stakeholder concerns, and advocacy activities to address larger regulatory and environmental issues | Programmes consisting of incorporating culturally appropriate recipes in the school’s menus and working with local restaurants to promote healthier offerings |
5 | Lukas and Cunningham-Sabo (2011)( 55 ), USA | 86 girls and 92 boys (n 178). Teachers and food educators. Age not stated | Students in cooking interventions described positive experiences with curriculum integration into academic subjects and were more likely to consider classmates friends | Not stated | The perceived influences of home and school environments can assist in improving nutrition education programmes | Students’ voices can be used as an evaluation of school-based programmes |
6 | Bohm et al. (2016)( 73 ), Sweden | 10–16 years (n 59) | Meat was seen as ‘central’ to nutritional health, sensory experience, culture and social relationships | Gee’s (2010) ‘D’ discourse analysis | Gendered discourses of absence, deviance and unattainability restricted some students’ access to vegetarian foods | To counteract restricted access to vegetarian foods, Home and Consumer Studies teachers can redesign activities in the subject with the help of critical food literacy |
7 | Bohm et al. (2015)( 74 ), Sweden | Students 10–16 years of age (n 59); teachers (n 5) | Results indicated that gender discourse of absence, deviance and unattainability restricted some students’ access to vegetarian foods | Gee’s (2013) big ‘D’ | Not applicable | A redesign of discourse could facilitate a reduction in meat consumption |
SES, socio-economic status.
Risk of bias assessment
Table 4 provides an overall risk score for the quantitative studies. The majority of quantitative studies were identified as positive, with two studies being average( 45 , 59 ) in rating quality. Table 5 provides an overall evidence grading for the qualitative studies. The majority of studies were identified as positive ‘++’, with one being ‘+’( 47 ).
Table 4.
Study details, country | Clear research question | Participant selection free from bias | Comparable study groups | Participant withdrawals or response rate described | Use of blinding | Description of intervention protocol and/or data collection procedures | Outcomes clearly defined | Appropriate statistical analysis | Conclusion supported by results | Unlikely funding bias | Overall score | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Dewhurst and Pendergast (2011)( 31 ), Australia | + | + | N/A | + | N/A | + | + | + | + | N/A | 7/7 |
2 | Dewhurst and Pendergast (2008)( 32 ), Australia | + | + | + | + | N/A | + | + | + | + | N/A | 8/8 |
3 | Gracey et al. (1996)( 33 ), Australia | + | + | N/A | − | N/A | + | + | + | + | + | 7/8 |
4 | Jaenke et al. (2012)( 34 ), Australia | + | + | + | NR | N/A | + | + | + | + | N/A | 7/8 |
5 | Morgan et al. (2010)( 35 ), Australia | + | + | + | + | N/A | + | + | + | + | N/A | 8/8 |
6 | Pendergast and Dewhurst (2012)( 36 ), Australia | + | + | N/A | + | N/A | + | + | + | + | N/A | 7/7 |
7 | Ronto et al. (2016)( 37 ), Australia | + | N/A | N/A | NR | N/A | + | + | + | + | N/A | 5/6 |
8 | Ronto et al. (2016)( 38 ), Australia | + | + | N/A | N/A | N/A | + | + | + | + | N/A | 6/6 |
9 | Ronto et al. (2016)( 39 ), Australia | + | + | N/A | NR | N/A | + | + | N/A | + | N/A | 5/6 |
10 | Slater (2013)( 40 ), Canada | + | + | N/A | NR | N/A | + | + | + | + | N/A | 6/7 |
11 | Zhou et al. (2016)( 41 ), China | + | + | + | + | + | + | + | + | + | N/A | 9/9 |
12 | Turnin et al. (2016)( 42 ), France | + | + | + | NR | + | + | + | + | + | N/A | 8/9 |
13 | Petralias et al. (2016)( 42 ), Greece | + | + | + | NR | N/A | + | + | + | + | N/A | 7/8 |
14 | Tsartsali et al. (2009)( 44 ), Greece | + | + | N/A | + | N/A | + | + | + | + | NR | 7/8 |
15 | Mirmiran et al. (2007)( 45 ), Iran | + | − | N/A | − | N/A | + | + | + | + | NR | 5/8 |
16 | Venter and Winterbach (2010)( 46 ), South Africa | + | + | N/A | + | N/A | + | + | + | + | NR | 7/8 |
17 | Gewa et al. (2013)( 48 ), Kenya | + | + | + | + | + | + | + | + | + | N/A | 9/9 |
18 | Klepp and Wilhelmsen (1993)( 49 ), Norway | + | + | + | + | + | + | + | + | + | N/A | 9/9 |
19 | Øverby et al. (2012)( 50 ), Norway | + | + | + | + | N/A | + | + | + | + | N/A | 8/8 |
20 | da Rocha Leal et al. (2011)( 51 ), Portugal | + | + | N/A | + | N/A | + | + | + | + | + | 8/8 |
21 | Osler and Hansen (1993)( 52 ), Denmark | + | + | N/A | + | N/A | + | + | + | + | + | 8/8 |
22 | Chapman et al. (1997)( 56 ), USA | + | + | + | − | − | + | + | + | + | NR | 7/10 |
23 | Evans et al. (2012)( 57 ), USA | + | + | + | NR | + | + | + | + | + | N/A | 8/9 |
24 | Gans et al. (1990)( 58 ), USA | + | + | + | NR | N/A | + | + | + | + | N/A | 7/8 |
25 | Huang et al. (2004)( 59 ), USA | + | − | N/A | − | N/A | − | + | + | + | NR | 4/7 |
26 | Jarpe-Ratner et al. (2016)( 60 ), USA | + | + | + | N/R | N/A | + | + | + | + | N/A | 7/8 |
27 | Larson et al. (2006)( 61 ), USA | + | + | N/A | − | N/A | + | + | + | + | NR | 6/7 |
28 | Laska et al. (2012)( 62 ), USA | + | + | N/A | + | N/A | + | + | + | + | NR | 7/8 |
29 | Long and Stevens (2004)( 63 ), USA | + | + | + | + | NR | + | + | + | + | N/A | 8/9 |
30 | McAleese and Fada (2007)( 64 ), USA | + | + | + | + | N/A | + | + | + | + | N/A | 8/8 |
31 | Miller (2014)( 65 ), USA | + | + | + | + | + | + | + | + | + | N/A | 9/9 |
32 | Pirouznia (2001)( 66 ), USA | + | + | N/A | − | N/A | + | + | + | + | NR | 6/8 |
33 | Ratcliffe et al. (2011)( 67 ), USA | + | N/A | + | NR | NR | + | + | + | + | NR | 6/8 |
34 | Schober et al. (2016)( 68 ), USA | + | + | + | + | + | + | + | + | + | N/A | 9/9 |
35 | Trexler and Sargent (1993)( 69 ), USA | + | + | N/A | − | N/A | + | + | + | + | + | 7/8 |
36 | Williams et al. (2016)( 70 ), USA | + | + | + | + | + | + | + | + | + | N/A | 9/9 |
37 | Caraher et al. (2013)( 71 ), UK | + | + | N/A | + | − | + | + | + | + | + | 8/9 |
N/A, not applicable (due to study design); +, positive overall score; NR, not reported; −, negative overall score (this score is given if criterion is not met).
Table 5.
1. Is a qualitative approach appropriate? | 2. Is the study clear in what it seeks to do? | Evidence grading | |||||
---|---|---|---|---|---|---|---|
Qualitative study | Appropriate | Inappropriate | Not sure | Clear | Unclear | ||
Ronto et al. (2017)( 30 ), Australia | ✓ | ✓ | ++ | ||||
Swaminathan et al. (2009)( 47 ), South India | ✓ | ✓ | + | ||||
McKinley et al. (2005)( 53 ), Northern Ireland | ✓ | ++ | |||||
Chatterjee et al. (2016)( 54 ), USA | ✓ | ✓ | ++ | ||||
Lukas and Cunningham-Sabo (2011)( 55 ), USA | ✓ | ✓ | ++ | ||||
Bohm et al. (2016)( 73 ), Sweden | ✓ | ✓ | ++ | ||||
Bohm et al. (2015)( 74 ), Sweden | ✓ | ✓ | ++ | ||||
Grading the evidence:
++ All or most of the quality criteria have been fulfilled. Where they have been fulfilled the conclusions of the study or review are thought very unlikely to alter.
+ Some of the criteria have been fulfilled. Where they have been fulfilled the conclusions of the study or review are thought unlikely to alter.
− Few or no criteria fulfilled. The conclusions of the study are thought likely or very likely to alter.
Quantitative and mixed-methods studies
Programme type and duration
Thirty-seven quantitative or mixed-methods studies were identified. They consisted of practical cooking classes (n 5)( 58 , 60 , 61 , 68 , 71 ), reading nutritional labels (n 2)( 59 , 70 ), school-based gardens (n 5)( 34 , 35 , 57 , 64 , 67 ), school supplementary food programmes (n 1)( 48 ), technology interventions (n 6)( 42 , 43 , 48 , 63 , 65 ), lectures about nutritional education and food safety (n 14)( 33 , 40 , 41 , 44 – 46 , 49 – 52 , 56 , 62 , 66 , 69 ), and home-economics teachers’ perspectives on food literacy in secondary schools (n 6)( 30 – 32 , 36 , 38 , 40 ). Duration of the interventions varied and was dependent on the type of study intervention and aspects of food literacy being investigated. The shortest duration of a study was 1 week( 68 ) and the most extended duration of a study was 10 years( 62 ).
Theoretical basis for programme development
Theoretical underpinnings used in the studies were Social Cognitive Theory (n 5)( 33 , 57 , 63 , 67 , 70 ), the Transtheoretical Model (n 1)( 63 ), the Health Belief Model (n 1)( 33 ), the Theory of Planned Behaviour (n 1)( 33 ) and the Analysis Grid for Environments Linked to Obesity planning model (n 1)( 39 ).
The review identified four broad approaches in how food literacy programmes have been administered in secondary schools: (i) food knowledge and change in dietary intake and behaviour (self-efficacy)( 33 , 36 , 42 , 44 , 46 , 48 – 50 , 52 , 61 , 63 , 69 ); (ii) garden-based interventions( 34 , 35 , 57 , 64 , 67 ); (iii) gendered differences and nutritional knowledge and behaviour( 33 , 34 , 39 , 45 , 46 , 49 , 56 , 59 , 65 , 66 ); and (iv) adolescent( 37 , 47 , 53 – 55 , 72 , 73 ) and home-economics staff perspectives on food literacy( 30 – 32 , 36 , 38 – 40 ).
Observational and intervention studies
Food knowledge and change in dietary intake and behaviour (self-efficacy)
Nine studies investigated the relationship between food knowledge and dietary intake( 44 , 46 , 48 , 50 , 52 , 56 , 61 , 63 , 69 ) and five studies investigated food knowledge and behaviour( 33 , 42 , 49 , 51 , 69 ). Eight studies showed a positive impact of knowledge( 33 , 44 , 46 , 51 , 52 , 61 , 63 , 66 ). One study showed a negative impact on nutritional knowledge and dietary intake( 45 ). Two studies were not able to indicate a clear relationship between food knowledge and dietary intake( 56 , 69 ).
Two studies investigated adolescent reading ability and nutrition labels( 59 , 70 ). One study identified that nutrition label reading ability does not relate to healthier diets among adolescents( 59 ). Adolescent boys’ reading of nutrition labels was associated with higher fat intake( 59 ). One study investigated the effects of a culturally targeted energy labelling intervention on food purchasing behaviour and found that after the intervention, there was a mean decline in purchased energy of 20 % and unhealthy foods( 70 ).
Garden-based nutrition interventions
Five studies investigated the relationship between school-based garden interventions and fruit and vegetable consumption. Four of the five studies demonstrated positive results( 35 , 57 , 64 , 67 ). One study showed an overall increase from a 10-week intervention with nutrition education and garden for overall willingness to taste vegetables (P < 0·001) and overall taste ratings of vegetables (P < 0·001)( 35 ). Three studies showed a higher fruit and vegetable intake and preference, self-efficacy and knowledge( 57 , 64 , 67 ). One study showed an overall increase in fruit consumption (before to after) by 1·12 servings (P < 0·001) for students at experimental school 2, and vegetable consumption increased significantly by 1·44 servings (P < 0·001)( 64 ). The intervention consisted of a control group and two treatment groups. One group consisted of a 12-week nutrition programme and the other treatment group consisted of garden-based activities. Adolescents who participated in garden-based activities had a significant increase in vitamin A, vitamin C and fibre intake( 64 ). One study was not able to show any significant difference in fruit and vegetable intake between genders( 34 ).
Gender differences in nutritional knowledge and dietary behaviour
Nine studies investigated gender differences on the impact of nutrition knowledge and fruit and vegetable intake( 33 , 34 , 45 , 46 , 49 , 56 , 59 , 65 , 66 ). Four studies revealed that females have greater nutritional knowledge than males( 33 , 45 , 46 , 66 ). One study found a gender difference only in fruit and vegetable preferences, with girls rating carrot higher than boys in taste ratings (P = 0·04)( 34 ). One study identified that although both boys and girls had a reasonable level of nutritional knowledge, only boys had good nutritional practices( 45 ). Two studies investigated nutrition education and behaviour changes. One study explored milk and yoghurt selection in a school breakfast programme and reported females were more likely to choose yoghurt than males( 65 ). One study assessed healthy eating behaviour and healthy eating knowledge before and after the intervention at 5- and 12-month follow-ups( 49 ). The results of the study showed that there was a short-term positive effect on eating behaviours in males, as well as maintaining a positive impact on healthy eating knowledge.
The effectiveness of cooking and food safety
Six studies investigated cooking skills and food safety( 41 , 58 , 60 , 61 , 68 , 71 ). Four out of five studies utilised experienced chefs and hands-on cooking with the adolescents( 58 , 60 , 68 , 71 ) and only one study used lectures and prize-based games about nutrition and food safety( 41 ). Studies that utilised experimental cooking and nutritional education programmes led by chef instructors showed positive results in overall cooking confidence, cooking skills and tasting new foods( 71 ). One study found that experimental cooking and nutrition education programmes led by chef instructors might be an effective way to improve nutrition in low-income communities( 60 ). Nutritional knowledge score increased from 0·6 to 0·8, cooking self-efficacy score from 3·2 to 3·6, and vegetable consumption score from 2·2 to 2·4 (all P < 0·05). Increased score for communication about healthy eating (4·1 to 4·4; P < 0·05) was observed 6 months after the end of the course( 60 ). One study investigated the effects of the LiveWell@School Food Initiative in Colorado and identified an increase in the proportion of fresh, from-scratch cooking foods (using fresh ingredients compared with cooking using processed foods) and a decrease in energy, fat, saturated fat and sodium that contributed to a healthier school food environment( 68 ). One study investigated the effectiveness of a school-based nutrition and food safety education programme among primary- and junior-high-school students in China( 41 ). It found that after adolescents participated in the school-based cooking programme, they enjoyed tasting new foods, making new meals and learning new cooking skills. Participants reported an increase in their food skills, following recipes and preparing foods.
Qualitative studies
Adolescent attitudes and perceptions on food literacy
Seven studies investigated adolescents and their attitudes about cooking classes in secondary schools and their understanding of healthy and unhealthy eating( 37 , 47 , 53 – 55 , 72 , 73 ). Two studies specifically investigated adolescents’ attitudes and views on school cooking interventions( 54 , 55 ). Lukas and Cunningham-Sabo’s study conducted focus groups interviews with students to obtain the classroom experiences about the Cooking with Kids programme( 55 ). The findings from this study were that students described positive experiences with the programme and its curriculum integration into academic subjects. Another study investigated students’ perspectives on a high-school food programme and identified that all stakeholders appreciated the programme, but there were some disagreements regarding the impression of how cooking skills are taught to students regarding culturally incompatible foods( 54 ).
Five studies investigated adolescents’ perceptions of healthy and unhealthy eating by qualitative research methodology( 37 , 47 , 53 , 72 , 73 ). The overall consensus of adolescents’ attitudes towards healthy eating was ‘fruit’, ‘vegetable’ and ‘salads’ were viewed as healthy and processed foods were viewed as less-healthy foods( 53 ). A potential barrier identified in one study was that adolescents are interested in developing food skills but have limited opportunities to develop these skills in school or the home environment( 53 ). One study investigated adolescents’ perspectives on food literacy and its impact on their dietary behaviours. Adolescents were required to rank twenty-two aspects of food literacy in order of importance. Adolescents ranked food and nutrition knowledge as more important than food skills and food capacity( 37 ).
Home-economics teachers’ perspectives on home economics subjects in secondary schools
Seven studies investigated home economics in secondary schools and teachers’ perspectives on home economics in secondary schools( 30 – 32 , 36 , 38 – 40 ). One study explored home-economics teachers’ views on the role of secondary schools in enhancing adolescents’ food literacy and promoting healthy dietary behaviour( 30 ). They identified cooking skills, knowledge about healthy foods, and food safety and hygiene practices as very important. The overall consensus regarding barriers and perceptions on home economics in secondary schools was: lack of teaching materials and facilities, less importance of home economics compared with science and maths-based subjects, no supportive school canteens and negative role modelling of staff( 38 ).
Dietary behaviour outcome measures
In studies that measured dietary intake, this was done by FFQ (n 11), 24 h dietary recalls (n 6), KIDMED Index (n 2), other questionnaires and surveys (n 27), interviews (n 2), focus groups (n 4), audio/video-taping (n 2), and observations and checklists (n 2).
Discussion
The purposes of the current systematic review were to provide a recent and comprehensive overview of worldwide studies on the effects of food literacy programmes in secondary schools, and on adolescents’ and home-economics teachers’ attitudes and perspectives on food literacy programmes in secondary schools. No study used a valid and reliable food literacy tool. There has been increasing consideration of food literacy as a significant influence on children and young people’s eating patterns( 74 , 75 ). Previous studies investigating the implementation and effectiveness of school-based nutrition promotion programmes using a health-promoting schools approach have identified that the school environment, via home economics, can provide an ideal setting for the teaching and practice of food literacy skills and healthy dietary behaviour( 19 ). For the present review, we aimed to extend previous systematic reviews( 20 , 21 ) on this topic and to include areas where further research is needed.
The effects of secondary-school food literacy interventions were challenging to assess because of varying study designs, intervention strategies, research aims and outcome measures, resulting in inconsistencies in the overall findings of food literacy. Furthermore, it was difficult to determine which type of school-based programme or intervention was most effective. Of the forty-four studies included in the review, interventions that were implemented for a minimum of 4 weeks and had used a validated and reliable evaluation measure that incorporated psychological constructs such as self-efficacy and knowledge were found to show changes in short-term dietary behaviour.
The quality of studies included in the current review should be considered when interpreting their findings. The majority of quantitative studies were identified as positive, with two studies being average( 45 , 59 ) in rating quality. Although randomised controlled trials should provide more reliable evidence on the effects of interventions( 76 ), the one randomised controlled trial included( 48 ) did not show greater quality than the quasi-experimental or observational or mixed-method studies. The majority of qualitative studies were identified as positive (‘++’), with one being ‘+’( 47 ). The findings suggest that food literacy studies typically satisfy quality requirements.
Regarding sample size, only two out of twenty-five interventions reported conducting a statistical power calculation( 34 , 35 ). Since the studies reviewed used a convenience sample, with only two studies reporting a power calculation; only reporting P values with minimal mention of standard deviations and effect sizes, as such the results from these studies should be interpreted with caution. All of the studies used self-reported dietary intake as the outcome measure, which may have resulted in some potential respondent bias. Of the twenty-five interventions, seven studies did not describe the participant withdrawal/dropout or response rate in their studies; and only one study discussed a blinding procedure( 48 ). Only one study out of twenty-three demonstrated long-term dietary behaviour from adolescence to adulthood. From the studies examined, it is not clear whether the observed effects were long term regarding changes in dietary behaviour.
Of the articles reviewed, only nine studies explicitly stated a theoretical underpinning in their design( 33 , 38 , 49 , 57 , 63 , 67 , 70 , 72 , 73 ), with the most popular theoretical underpinning being the Social Cognitive Theory. Theory-driven interventions typically demonstrated more associations with changes in positive dietary behaviour compared with other studies( 57 , 67 ).
The present review identified there is a paucity of studies showing secular dietary behaviours of food literacy interventions. Laska et al.’s( 62 ) longitudinal study investigated the involvement in food preparation, showing that it tracks over time between adolescence (15–18 years) to emerging adulthood (19–23 years) and the mid-to-late twenties (24–28 years). The study focused on home preparations, dietary quality and meal preparation. The findings suggested that food skills and behaviours learned in adolescence were sustained later in life. From that study, food preparation taught to adolescents may have some effect on altering dietary behaviour.
In comparison to Robinson-O’Brien et al.’s review( 22 ) of garden-based nutrition interventions, the findings from the current review showed that they have the potential to promote an increase in preferences and improve dietary intake concerning fruit and vegetables. Four studies in our review reported that adolescents’ exposure to garden-based nutrition education was associated with an increase in fruit and vegetable intake( 35 , 57 , 64 , 67 ). One study reported no improvement in fruit and vegetable intake( 34 ). It is inconclusive for the long-term dietary intake of fruit and vegetables based on garden-based interventions. With regard to garden-based interventions, some studies provided pre and post( 67 ) or only post-intervention data( 57 ), some did not include a control condition or included control and comparison groups but assigned only one group per condition, and could have resulted in possible statistical outcomes due to clustering.
Of the articles reviewed for adolescents’ attitudes and perceptions of food literacy, only seven studies used qualitative methods alone( 37 , 47 , 53 – 55 , 72 , 73 ). Two of the articles used qualitative methods to assist in quantitative methods( 37 , 47 ). The overall consensus from adolescents and their attitudes to food literacy in the school environment were that students held a clear understanding on what food items constitute healthy and unhealthy eating( 72 , 73 ) and described an overall positive experience with the school food programmes that are integrated into the school curriculum( 55 ). The results from qualitative studies investigating adolescent perspectives of the term ‘food literacy’ have revealed that there are multiple discourses on the term( 37 , 72 , 73 ). Adolescents appear to rank food and nutrition knowledge as more important than food skills and food capacity (positive attitudes towards cooking and nutrition knowledge)( 37 ). A majority of students did not apply the food knowledge that they learned in home-economics classes due to low confidence in cooking skills and the food environment surrounding their school and home.
Of the articles reviewed for home-economics teachers’ attitudes and perspectives on food literacy, only five studies used qualitative methods( 30 – 32 , 36 , 39 ). The studies identified that home-economics teachers rated aspects of food literacy, including cooking food, the nutritional content of food, and food safety and hygiene practices, as important skills. However, school food environments are not comprehensively supportive of food literacy. The findings from home-economics teachers’ attitudes and perspectives on food literacy programmes in secondary schools suggest that there may be some external factors affecting home-economics teachers’ ability to present culinary skills effectively to secondary-school students( 30 , 38 ). External factors identified by Ronto et al.( 38 ) were materials and facilities, human resources, non-supportive school canteen systems, negative role modelling and the importance of home economics from a parent’s perspective( 30 ). Increased internal support from school leadership and healthy school food environments could assist home-economics teachers’ attitudes and perspectives on food literacy programmes taught in secondary schools.
Future research conducted in the field of food literacy in the school environment should focus on providing teachers with greater support and adequate training in nutritional knowledge, a universal definition, and evaluation techniques and instruments to measure all aspects of food literacy. None of the studies reviewed incorporated a validated and reliable tool to measure multiple constructs of food literacy. Studies investigating food literacy have measured only one or two aspects of the concept, mainly nutritional knowledge and food preferences. It appears further research is required to develop a valid and reliable tool that measures all attributes that cover the food literacy concept. Only one study utilised a randomised controlled trial research design, and thirteen studies utilised a quasi-experiment and one study used a pre–post intervention, resulting in an inability to assess causality between food literacy and dietary intake. Future studies examining dietary behaviour should include a theoretical basis for programme development. Given that food and nutrition literacy is a context-specific concept, the development of a valid and reliable tool to assess adolescents’ food literacy in the school setting could help to overcome the challenges of food and nutritional knowledge assessments in the school setting, tailor targeted evaluation programmes and identify gaps in school food literacy programmes.
Strengths and limitations of the systematic review
As a strength, the systematic review followed the PRISMA reporting guidelines. Second, the review included qualitative studies to ascertain adolescents’ and home-economics teachers’ perspectives on food literacy interventions in secondary schools. As food literacy is an emerging term in the literature, qualitative research can assist in understanding the facilitators and barriers to effective school-food based interventions( 23 ).
The main limitation of the review’s design is the inclusion of a broad range of studies. As a result, a meta-analysis could not be conducted. Definitive conclusions from the studies reviewed could not be determined due to multiple definitions of the term food literacy( 77 ). Due to the variations in definitions used across reviewed studies, it was challenging to incorporate strict parameters regarding only essential terms. Finally, the relative effectiveness of each different intervention could not be determined or generalised. Most of the studies measuring food knowledge and dietary intake were based on self-reported measures that may influence the reporting of actual and ideal dietary intake.
Conclusions
In the current systematic review, we reviewed and synthesised the literature on food literacy interventions in secondary schools and reported on the associations among home-economics teachers and adolescents and their effects on dietary outcomes. The review identified that food literacy interventions conducted in a secondary-school setting have been useful in improving food and nutritional knowledge. There was only one study identified in the review that indicated any effect on long-term dietary behaviour. That study evaluated the involvement in food preparation activities in adolescence and into early adulthood. To date, there appears to be no consensus on the definition of food literacy, which has resulted in difficulties in developing a valid and reliable measure resulting in minimal empirical evidence regarding measuring food literacy in the adolescent population. The evidence presented in the review recommends the creation and adoption of a validated and reliable tool to measure food literacy attributes. Further high-quality randomised controlled trials and longitudinal studies could then be conducted to ascertain dietary behaviours among adolescents.
Acknowledgements
Acknowledgements: The authors would like to acknowledge the assistance of the academic librarian, Ms Nikki May, who helped develop the search terms for this paper. Financial support: The systematic review reported in this paper is part of a PhD project in the College of Education, Psychology and Social Work at Flinders University. This research received no specific grant from any funding agency in the public, commercial or non-for-profit sectors. Conflict of interest: None. Authorship: C.J.B., P.R.W. and M.J.D. formulated the research questions, designed the study and wrote the article. All authors contributed to the editing of the literature review. Ethics of human subject participation: Ethical approval was not required as the paper is a systematic review and the findings of existing studies were available in the public domain.
Supplementary material
For supplementary material accompanying this paper visit https://doi.org/10.1017/S1368980019001666.
References
- 1.Nishtar S, Gluckman P & Armstrong T (2016) Ending childhood obesity: a time for action. Lancet 38, 825–827. [DOI] [PubMed] [Google Scholar]
- 2.World Health Organization (2009) 2008–2013 Action plan for the global strategy for the prevention and control of noncommunicable diseases: prevent and control cardiovascular diseases, cancers, chronic respiratory diseases and diabetes. https://www.who.int/nmh/publications/9789241597418/en/ (accessed October 2018).
- 3.Victora G (2009) Nutrition in early life: a global priority. Lancet 374, 1123–1125. [DOI] [PubMed] [Google Scholar]
- 4.Simmonds M, Burch J, Llewellyn A et al. (2015) The use of measures of obesity in childhood for predicting obesity and the development of obesity-related diseases in adulthood: a systematic review and meta-analysis. Health Technol Assess 19, issue 43, 1–336. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Australian Bureau of Statistics (2014) Australian Health Survey: Nutrition First Results, Foods and Nutrients 2011–12. Catalogue no. 4364.0.55.007. Canberra, ACT: ABS. [Google Scholar]
- 6.National Health and Medical Research Council (2013) Australian Dietary Guidelines. Canberra, ACT: NHMRC. [Google Scholar]
- 7.Savige GS, Ball K, Worsley A et al. (2007) Food intake patterns among Australian adolescents. Asia Pac J Clin Nutr 16, 738–747. [PubMed] [Google Scholar]
- 8.Bauer KW, Larson NI, Nelson MC et al. (2004) Fast food intake among adolescents: secular and longitudinal trends from 1999 to 2004. Prev Med 48, 284–287. [DOI] [PubMed] [Google Scholar]
- 9.Lawlis T, Knox M & Jamieson M (2016) School canteens: a systematic review of the policy, perceptions and use from an Australian perspective. Nutr Diet 73, 389–398. [Google Scholar]
- 10.Micha R, Karageorgou D, Bakogianni I et al. (2018) Effectiveness of school food environment policies on children’s dietary behaviors: a systematic review and meta-analysis. PLoS One 13, e0194555. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Vézina-Im L-A, Beaulieu D, Bélanger-Gravel A et al. (2017) Efficacy of school-based interventions aimed at decreasing sugar-sweetened beverage consumption among adolescents: a systematic review. Public Health Nutr 20, 2416–2431. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Krause C, Sommerhalder K, Beer-Borst S et al. (2016) Just a subtle difference? Findings from a systematic review on definitions of nutrition literacy and food literacy. Health Promot Int 33, 378–398. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Vidgen HA & Gallegos D (2014) Defining food literacy and its components. Appetite 76, 50–59. [DOI] [PubMed] [Google Scholar]
- 14.Colatruglio S & Slater J (2016) Challenges to acquiring and utilizing food literacy: perceptions of young Canadian adults. Can Food Stud 3, 96–118. [Google Scholar]
- 15.Vidgen HA & Gallegos D (2012) Defining Food Literacy, Its Components, Development and Relationship to Food Intake: A Case Study of Young People and Disadvantage. Brisbane, QLD: Queensland University of Technology; available at http://eprints.qut.edu.au/53786 [Google Scholar]
- 16.Regan A, Parnell W, Gray A et al. (2008) New Zealand children’s dietary intakes during school hours. Nutr Diet 65, 205–210. [Google Scholar]
- 17.World Health Organization (2008) School policy framework: implementation of the WHO global strategy on diet, physical activity and health. https://www.who.int/dietphysicalactivity/schools/en/ (accessed October 2018).
- 18.St Leger L (2001) Schools, health literacy and public health: possibilities and challenges. Health Promot Int 16, 197–205. [DOI] [PubMed] [Google Scholar]
- 19.Wang D & Stewart D (2013) The implementation and effectiveness of school-based nutrition promotion programmes using a health-promoting schools approach: a systematic review. Public Health Nutr 16, 1082–1100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Brooks N & Begley A (2014) Adolescent food literacy programmes: a review of the literature. Nutr Diet 71, 158–171. [Google Scholar]
- 21.Vaitkeviciute R, Ball LE & Harris N (2015) The relationship between food literacy and dietary intake in adolescents: a systematic review. Public Health Nutr 18, 649–658. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Robinson-O’Brien R, Story M & Heim S (2009) Impact of garden-based youth nutrition intervention programs: a review. J Am Diet Assoc 109, 273–280. [DOI] [PubMed] [Google Scholar]
- 23.Dixon-Woods M, Fitzpatrick R, Roberts K (2001) Including qualitative research in systematic reviews: opportunities and problems. J Eval Clin Pract 7, 125–133. [DOI] [PubMed] [Google Scholar]
- 24.Jackson N & Waters E (2005) Criteria for the systematic review of health promotion and public health interventions. Health Promot Int 20, 367–374. [DOI] [PubMed] [Google Scholar]
- 25.Moher D, Liberati A, Tetzlaff J et al. (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med 6, e1000097. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Santos CMdC, Pimenta CAdM & Nobre MRC (2007) The PICO strategy for the research question construction and evidence search. Rev Lat Am Enfermagem 15, 508–511. [DOI] [PubMed] [Google Scholar]
- 27.Joanna Briggs Institute (2014) Joanna Briggs Institute Reviewers’ Manual: 2014 Edition. Australia: The Joanna Briggs Institute. [Google Scholar]
- 28.American Dietetic Association (2005) ADA Evidence Analysis Manual. Chicago, IL: American Dietetic Association. [DOI] [PubMed] [Google Scholar]
- 29.National Institute for Health and Care Excellence (2012) Appendix H Quality appraisal checklist – qualitative studies. In Methods for the development of dietary outcome measure public health guidance. Process and methods (PMG4), 3rd ed. https://www.nice.org.uk/process/pmg4/chapter/appendix-h-quality-appraisal-checklist-qualitative-studies (accessed May 2018).
- 30.Ronto R, Ball L, Pendergast D & Harris N (2017) What is the status of food literacy in Australian high schools? Perceptions of home economics teachers. Appetite 108, 326–334. [DOI] [PubMed] [Google Scholar]
- 31.Dewhurst Y & Pendergast D (2011) Teacher perceptions of the contribution of Home Economics to sustainable development education: a cross-cultural view. Int J Consum Stud 35, 569–577. [Google Scholar]
- 32.Dewhurst Y & Pendergast D (2008) Home economics in the 21st century: a cross cultural comparative study. Int J Home Econ 1, 63–87. [Google Scholar]
- 33.Gracey D, Stanley N, Burke V et al. (1996) Nutritional knowledge, beliefs and behaviours in teenage school students. Health Educ Res 11, 187–204. [Google Scholar]
- 34.Jaenke RL, Collins CE, Morgan PJ et al. (2012) The impact of a school garden and cooking program on boys’ and girls’ fruit and vegetable preferences, taste rating, and intake. Health Educ Behav 39, 131–141. [DOI] [PubMed] [Google Scholar]
- 35.Morgan PJ, Warren JM, Lubans DR et al. (2010) The impact of nutrition education with and without a school garden on knowledge, vegetable intake and preferences and quality of school life among primary-school students. Public Health Nutr 13, 19–31. [DOI] [PubMed] [Google Scholar]
- 36.Pendergast D & Dewhurst Y (2012) Home economics and food literacy: an international investigation. Int J Home Econ 5, 245–263. [Google Scholar]
- 37.Ronto R, Ball L, Pendergast D et al. (2016) Adolescents’ perspectives on food literacy and its impact on their dietary behaviours. Appetite 107, 549–557. [DOI] [PubMed] [Google Scholar]
- 38.Ronto R, Ball L, Pendergast D et al. (2016) Environmental factors of food literacy in Australian high schools: views of home economics teachers. Int J Consum Stud 41, 19–27. [Google Scholar]
- 39.Ronto R, Ball L, Pendergast D et al. (2016) Food literacy at secondary schools in Australia. J Sch Health 86, 823–831. [DOI] [PubMed] [Google Scholar]
- 40.Slater J (2013) Is cooking dead? The state of home economics food and nutrition education in a Canadian province. Int J Consum Stud 37, 617–624. [Google Scholar]
- 41.Zhou W-J, Xu X-l, Li G, Sharma M et al. (2016) Effectiveness of a school-based nutrition and food safety education program among primary and junior high school students in Chongqing, China. Glob Health Promot 23, 37–49. [DOI] [PubMed] [Google Scholar]
- 42.Turnin M-C, Buisson J-C, Ahluwalia NC et al. (2016) Effect of nutritional intervention on food choices of French students in middle school cafeterias, using an interactive educational software program (Nutri-Advice). J Nutr Educ Behav 48, 131–137. [DOI] [PubMed] [Google Scholar]
- 43.Petralias A, Papadimitriou E, Riza E et al. (2016) The impact of a school food aid program on household food insecurity. Eur J Public Health 26, 290–296. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Tsartsali PK, Thompson JL & Jago R (2009) Increased knowledge predicts greater adherence to the Mediterranean diet in Greek adolescents. Public Health Nutr 12, 208–213. [DOI] [PubMed] [Google Scholar]
- 45.Mirmiran P, Azadbakht L & Azizi F (2007) Dietary behaviour of Tehranian adolescents does not accord with their nutritional knowledge. Public Health Nutr 10, 897–901. [DOI] [PubMed] [Google Scholar]
- 46.Venter I & Winterbach A (2010) Dietary fat knowledge and intake of mid-adolescents attending public schools in the Bellville/Durbanville area of the city of Cape Town. S Afr J Clin Nutr 23, 75–83. [Google Scholar]
- 47.Swaminathan S, Thomas T, Kurpad AV et al. (2009) Perceptions of healthy eating: a qualitative study of school-going children in south India. Health Educ J 68, 94–110. [Google Scholar]
- 48.Gewa CA, Murphy SP, Weiss RE et al. (2013) A school-based supplementary food programme in rural Kenya did not reduce children’s intake at home. Public Health Nutr 16, 713–720. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Klepp K & Wilhelmsen BU (1993) Nutrition education in junior high schools: incorporating behavior change strategies into home economics courses. Health Educ Res 8, 547–554. [Google Scholar]
- 50.Øverby NC, Klepp KI & Bere E (2012) Introduction of a school fruit program is associated with reduced frequency of consumption of unhealthy snacks. Am J Clin Nutr 96, 1100–1103. [DOI] [PubMed] [Google Scholar]
- 51.Leal FMdR, de Oliveira BMPM & Rodrigues SSP (2011) Relationship between cooking habits and skills and Mediterranean diet in a sample of Portuguese adolescents. Perspect Public Health 131, 283–287. [Google Scholar]
- 52.Osler M & Hansen ET (1993) Dietary knowledge and behaviour among schoolchildren in Copenhagen, Denmark. Scand J Public Health 21, 135–140. [DOI] [PubMed] [Google Scholar]
- 53.McKinley MC, Lowis C, Robson PJ et al. (2005) It’s good to talk: children’s views on food and nutrition. Eur J Clin Nutr 59, 542–551. [DOI] [PubMed] [Google Scholar]
- 54.Chatterjee A, Daftary G, Campbell M et al. (2016) ‘Can’t we just have some sazón?’ Student, family, and staff perspectives on a new school food program at a Boston high school. J Sch Health 86, 273–280. [DOI] [PubMed] [Google Scholar]
- 55.Lukas CV & Cunningham-Sabo L (2011) Qualitative investigation of the Cooking with Kids program: focus group interviews with fourth-grade students, teachers, and food educators. J Nutr Educ Behav 43, 517–524. [DOI] [PubMed] [Google Scholar]
- 56.Chapman P, Toma RB, Tuveson RV et al. (1997) Nutrition knowledge among adolescent high school female athletes. Adolescence 32, 437–446. [PubMed] [Google Scholar]
- 57.Evans A, Ranjit N, Rutledge R et al. (2012) Exposure to multiple components of a garden-based intervention for middle school students increases fruit and vegetable consumption. Health Promot Pract 13, 608–616. [DOI] [PubMed] [Google Scholar]
- 58.Gans KM, Levin S, Lasater TM et al. (1990) Heart healthy cook-offs in home economics classes: an evaluation with junior high school students. J Sch Health 60, 99–102. [DOI] [PubMed] [Google Scholar]
- 59.Huang TT-K, Kaur H, McCarter KS et al. (2004) Reading nutrition labels and fat consumption in adolescents. J Adolesc Health 35, 399–401. [DOI] [PubMed] [Google Scholar]
- 60.Jarpe-Ratner E, Folkens S, Sharma S et al. (2016) An experiential cooking and nutrition education program increases cooking self-efficacy and vegetable consumption in children in grades 3–8. J Nutr Educ Behav 48, 697–705.e1. [DOI] [PubMed] [Google Scholar]
- 61.Larson NI, Story M, Eisenberg ME et al. (2006) Food preparation and purchasing roles among adolescents: associations with sociodemographic characteristics and diet quality. J Am Diet Assoc 106, 211–218. [DOI] [PubMed] [Google Scholar]
- 62.Laska MN, Larson NI, Neumark-Sztainer D et al. (2012) Does involvement in food preparation track from adolescence to young adulthood and is it associated with better dietary quality? Findings from a 10-year longitudinal study. Public Health Nutr 15, 1150–1158. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Long JD & Stevens KR (2004) Using technology to promote self-efficacy for healthy eating in adolescents. J Nurs Scholarsh 36, 134–139. [DOI] [PubMed] [Google Scholar]
- 64.McAleese J & Fada R (2007) Garden-based nutrition education affects fruit and vegetable consumption in sixth-grade adolescents. J Am Diet Assoc 107, 662–665. [DOI] [PubMed] [Google Scholar]
- 65.Miller M (2014) Exploring milk and yogurt selection in an urban public school breakfast program. 2014 Food & Nutrition Conference & Expo, October 18–21, Atlanta, GA. J Acad Nutr Diet 114, A96. [Google Scholar]
- 66.Pirouznia M (2001) The association between nutrition knowledge and eating behavior in male and female adolescents in the US. Int J Food Sci Nutr 52, 127–132. [DOI] [PubMed] [Google Scholar]
- 67.Ratcliffe MM, Merrigan KA, Rogers BL et al. (2011) The effects of school garden experiences on middle school-aged students’ knowledge, attitudes, and behaviors associated with vegetable consumption. Health Promot Pract 12, 36–43. [DOI] [PubMed] [Google Scholar]
- 68.Schober DJ, Carpenter L, Currie V et al. (2016) Evaluation of the LiveWell@School Food Initiative shows increases in scratch cooking and improvement in nutritional content. J Sch Health 86, 604–611. [DOI] [PubMed] [Google Scholar]
- 69.Trexler ML & Sargent R (1993) Assessment of nutrition risk knowledge and its relationship to the dietary practices of adolescents. J Nutr Educ 25, 337–344. [Google Scholar]
- 70.Williams O, DeSorbo A, Sawyer V et al. (2016) Hip Hop HEALS: pilot study of a culturally targeted calorie label intervention to improve food purchases of children. Health Educ Behav 43, 68–75. [DOI] [PubMed] [Google Scholar]
- 71.Caraher M, Seeley A, Wu M et al. (2013) When chefs adopt a school? An evaluation of a cooking intervention in English primary schools. Appetite 62, 50–59. [DOI] [PubMed] [Google Scholar]
- 72.Bohm I, Lindblom C, Åbacka G et al. (2016) Absence, deviance and unattainable ideals – discourses on vegetarianism in the Swedish school subject home and consumer studies. Health Educ J 75, 676–678. [Google Scholar]
- 73.Bohm I, Lindblom C, Åbacka G et al. (2015) ‘He just has to like ham’ – the centrality of meat in home and consumer studies. Appetite 95, 101–112. [DOI] [PubMed] [Google Scholar]
- 74.Doustmohammadian A, Omidvar N, Keshavarz-Mohammadi N et al. (2017) Developing and validating a scale to measure Food and Nutrition Literacy (FNLIT) in elementary school children in Iran. PLoS One 12, e0179196. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Perry EA, Thomas H, Samra HR et al. (2017) Identifying attributes of food literacy: a scoping review. Public Health Nutr 20, 2406–2415. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Higgins JP, Altman DG, Gøtzsche PC et al. (2011) The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials. BMJ 343, d5928. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Truman E, Lane D, Elliott C (2017) Defining food literacy: a scoping review. Appetite 116, 365–371. [DOI] [PubMed] [Google Scholar]
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