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. 2022 Jan 19;14(3):444. doi: 10.3390/nu14030444

Association of Picky Eating with Weight and Height—The European Longitudinal Study of Pregnancy and Childhood (ELSPAC–CZ)

Marketa Grulichova 1,2, Daniela Kuruczova 2,3, Jan Svancara 2, Hynek Pikhart 2,4, Julie Bienertova-Vasku 2,*
Editor: Josep A Tur
PMCID: PMC8839058  PMID: 35276803

Abstract

Objective: This study aimed to evaluate whether preschool children identified as picky eaters showed differences in anthropometric characteristics (weight and height) from their non-picky peers at 15 years of age. Design: This study was performed among the cohort members of the EL- SPAC–CZ study, a longitudinal study of pregnancy and childhood. The analysis included 2068 children (997 girls and 1071 boys) followed between births and 15 years of age. Picky eaters were identified at 1.5, 3, and 5 years of age. Anthropometric characteristics were measured at 15 years of age (15 years). Results: Picky eaters (n = 346; 16.7%) had a lower weight and height than non-picky eaters (n = 1722; 83.3%) at 15 years. This difference in weight and height was maintained after controlling for sex of the child, birth weight, birth length, maternal education, family structure at 15 years, and maternal age at childbirth. The picky children were on average 2.3 kg lighter and 0.8 cm shorter than non- picky children at 15 years. Conclusions: Persistent picky eating in preschool children is related to lower weight and height at 15 years of age in ELSPAC–CZ study.

Keywords: picky eating, ELSPAC cohort, cohort study, Czech Republic

1. Introduction

Picky eating (also called a ‘fussy’, ‘faddy’, ‘selective’ or ‘choosy’ food diet) is a common situation in preschool children [1,2] and is classified as part of feeding difficulties [2]. One of the typical features of picky eating is neophobia. Neophobia is characterized by consumption of only favorite foods, unwillingness to try new foods, rejection of certain types of foods, and avoidance of certain textures or amounts of foods [2,3,4]. The rejection of certain food textures may also be affected by the realm of the subjective flavor and the feelings of disgust with food after previous negative experiences [5]. Picky eaters generally require specific procedures of food preparation, they express stronger dislikes and likes for food, and they often have negative emotions (tantrums) when denied certain foods [6]. As for the definition, there is no single definition of picky eating, and there are substantial differences in the methods of assessment used within various studies [2]. The reported prevalence of picky eating was within a wide range in various studies. Tharner et al. reported a prevalence of 5.6% [7], Micali et al. reported 7.3% [8], and Machado et al. found a prevalence of 25.1% [9], whereas Carruth et al. found picky eating ranging from 17% to 47% for males and 23% to 54% for females [10], and Xue, Lee et al. reported a prevalence of 59% [11]. The current consensus is that the development of picky eating is influenced by range of factors including the absence or short duration of exclusive breastfeeding and early introduction of complementary foods (before six months) [12], genetic factors [13], personality factors [5], parental practices and feeding styles [5], paternal controlling feeding [14], or other pressures to eat [5,15,16]. Overall, feeding is considered to be influenced by a highly complex interplay between many factors with varying levels of parental control over the process [13]. It has also been reported that the picky eaters consume fewer food items and have less or inferior variety in their diet than non-picky eaters [2,6,13,17]. Some of the studies also found that picky eaters ate fewer calories than non-picky eaters. Specifically, less total energy, less protein, and fewer total fats were consumed, and picky eaters had a smaller intake of fruit and vegetables, meat, and other protein sources [7,10,18] and sweets [16]. Moreover, the picky eaters were found to have a lower mean intake of carotene, iron, and zinc [19]. There is evidence that picky eaters have a lower weight, height, and BMI than non-picky eaters [1,6,20,21]. Picky eating led to a higher risk of being underweight [22,23,24]; Dubois et al. found picky-eaters to be even twice as likely to be underweight than non-picky eaters [25]. Some studies, on the other hand, found an association with the risk of the development of obesity [22,26,27]. There are very few longitudinal studies focusing on measures of growth in picky children. The long-term effects of picky eating on growth and body composition in the pubescent have received even less attention [28]. Furthermore, there is no evidence about this topic from the Central-European region.

The present study aimed to explore how picky eating in preschool children in Czech Republic, one of the countries of the Central-European region, is longitudinally related to their anthropometric characteristics (weight and height) at the age of 15 years.

2. Methods

2.1. Study Design

The European Longitudinal Study of Pregnancy and Childhood (ELSPAC) is a population-based study examining the effects of biological, psychosocial, economic, and environmental factors on health and development of children from the prenatal period to adulthood. The original intention of the World Health Organization Regional Office for Europe in 1985 was to collect data from 40,000 children across Europe [29]. Bristol University initially coordinated the project Avon Longitudinal Study of Pregnancy and Childhood (ALSPAC) [30] and protocol development, including follow-up planning and questionnaire design, which was organized by the ALSPAC team. The ELSPAC study (European Longitudinal Study of Pregnancy and Childhood) was established in eight independent centers based in the UK, former Czechoslovakia, Greece, Ukraine, and Russia (the latter two were initially part of the USSR), according to the original ALSPAC protocol (including follow-up planning and questionnaire design).

Data analyzed in this article came from the Czech part of ELSPAC study, which included eligible mothers from the Brno and Znojmo regions of the Czech Republic. All mothers were expected to deliver between 1 April 1991 and 30 June 1992. Out of 5151 children originally enrolled, about 60% of subjects were retained throughout early childhood [31]. Self-reported questionnaires collected the data for participants and included records of demographics, lifestyle, dietary habits, partnership, life attitudes, life events, social factors, and environmental exposure. The Czech ELSPAC study also examined socioeconomic changes related to the societal transformation after the fall of Communism in 1989 [31,32].

2.2. Analytical Sample

The analysis included a total of 2068 children who had complete anthropometric data, data on maternal education and family structure, and data about picky eating. In this analytical sample, there were 346 picky eaters and 1722 non-picky eaters. It has to be noted that the classification of children to picky eaters/non-eaters groups is still somewhat subjective.

2.3. Dietary Assessment and Anthropometric Measurement

Data were obtained from a questionnaire and anthropometric measurements at three time points for picky eating and one time for anthropometric measurement. Mothers were asked to fill in the questionnaire about eating habits of their children at 1.5 years, 3 years, and 5 years. A single question (the same at all three time points) was used to assess picky eating: “Did it happen anytime in the last year that your child was choosy about their meal? (a) No, it did not happen; (b) Yes, but I did not worry about it; (c) Yes, and I was a little worried about it; (d) Yes, and I was very worried about it”. The children were defined as “picky” if the mothers chose the option (c) or (d) for at least two out of the three investigated time points. The pediatricians performed standardized anthropometric measurements (weight and height) at 15 years of age. Body weight and height were used as dependent variables, while picky eating, height at 15 years (for the analysis of body weight), sex of the child, birth weight, birth length, maternal and paternal height, maternal education, the family structure at 15 years, and maternal age at childbirth were used as independent variables.

2.4. Statistical Analysis

Statistical analysis was performed using statistical software R (version 3.6.3) [33]. First, the descriptive characteristics of the sample were calculated, followed by the exploration of relationships between individual variables. To determine the relationship between picky eating and anthropometric characteristics, a two-sample Welch’s t-test was used. Afterward, linear models were constructed in order to include potentially confounding variables.

Model 1 describes the relationship between weight/height at 15 years (dependent variable) and picky eating (independent variable).

Model 2 for weight extends the previous model by adding the following covariates: height at 15 years, birth weight, and sex of the child. Model 2 for height extends the first model by adding birth length and sex of the child.

Model 3 for weight/height further extends previous models by including confounders such as maternal education, the family structure at 15 years, and maternal age at childbirth.

Models 2b and 3b add maternal and paternal height as confounders to corresponding models.

Finally, to further explore the effect of variables from Model 3, we additionally assessed potential interactions between sex, maternal education, and family structure at 15 years and picky eating.

Furthermore, two types of sensitivity analyses were performed. The first one was to ensure that whether the child was born from a singleton or twin pregnancy did not affect the results. The second sensitivity analysis focused on our definition of picky eating. To elucidate this, we narrowed down the sample to strict picky eaters (reported as picky by the mother at all three time points) and strict non-picky eaters (reported as non-picky at all three time points), and subsequently, we fitted Models 1, 2, and 3.

The descriptive characteristics were also calculated for subjects excluded from the sample to estimate the effects of attrition. A Pearson’s Chi-squared test was used to determine the difference between excluded and included subjects.

3. Results

3.1. Descriptive Results

A total of 2068 children were included in the analysis, with 997 girls and 1071 boys. A total of 346 subjects (16.7%) were identified as picky eaters based on our criterion of picky eating at two of three time points, and 1722 (83.3%) of the children were classified as non-picky eaters. The descriptive sample characteristics of the picky and non-picky children are presented in Table 1.

Table 1.

Sample characteristics.

Variable Non-Picky (n = 1722) Picky (n = 346) Total (n = 2068) χ2 Test of Independence
N % N % N % p-Value
Sex Female 822 47.74 175 50.58 997 51.79 0.365
Male 900 52.26 171 49.42 1071 48.21
Maternal education Elementary 472 27.41 113 32.66 585 28.29 0.064
High school 732 42.51 147 42.49 879 42.50
University 518 30.08 86 24.85 604 29.21
Family structure at 15 years Nuclear family 840 48.78 162 46.82 1002 48.45 0.476
Stepfamily 114 6.62 31 8.96 145 7.01
Single-parent family 158 9.18 32 9.25 190 9.19
Unknown 610 35.42 121 34.97 731 35.35

3.2. Association of Picky Eating with Weight and Height

We found significant differences in body weight and height between picky and non-picky children (Table 2). The picky children had significantly lower weight and height than non-picky children at the age of 15. Anthropometric characteristic (weight, height, and birth weight) in males and females at 15 years are presented in Table 3.

Table 2.

Anthropometric characteristic (weight, height, and birth weight) in non-picky and picky eaters at 15 years.

Non-Picky (n = 1722) Picky (n = 346) t-Test
Mean SD Median Mean SD Median p-Value
Height (cm) 170.66 8.31 171.00 169.26 8.49 170.00 0.005
Weight (kg) 60.29 11.56 58.25 56.98 10.16 55.50 <0.001
Birth weight (kg) 3.33 0.47 3.30 3.28 0.50 3.250 0.152

Table 3.

Anthropometric characteristic (weight, height, and birth weight) in males and females at 15 years.

Females (n = 977) Males (n = 1071)
Mean SD Median Mean SD Median
Height (cm) 165.87 6.457 166.00 174.67 7.66 175.00
Weight (kg) 56.79 9.65 55 62.48 12.20 61.00
Birth weight (kg) 3.23 0.45 3.25 3.40 0.49 3.40

3.3. Regression Models

The initial unadjusted Model 1 showed that the picky eaters had a lower body weight (around 3.3 kg) than non-picky eaters and were shorter (around 1.4 cm).

The extended Model 2 for weight (Table 4) showed that the picky eaters still had a significantly lower weight (around 2.2 kg) than non-picky eaters. A statistically significant association was also found for all three covariates; girls weighed more (around 1.5 kg) than boys, and height at 15 years and birth weight were positively associated with weight. In the Model 2 for height (Table 5), the height of picky eaters stayed significantly lower than the height of non-picky eaters (around 0.9 cm). Girls were significantly shorter than boys (around 8 cm), and the positive association between birth length and height was also significant.

Table 4.

Results of linear models for body weight in kilograms at 15 years.

Model 2 Model 3
(n = 2068) (n = 2068)
Adj. R2 = 0.328 Adj. R2 = 0.335
Variable β SE p β SE p
Picky eater No (ref) - - (ref) - -
Yes −2.18 0.552 <0.001 −2.30 0.550 <0.001
Height (cm) 0.78 0.030 <0.001 0.79 0.030 <0.001
Birth weight (kg) 1.82 0.450 <0.001 1.90 0.450 <0.001
Sex Male (ref) - - (ref) - -
Female 1.50 0.484 0.002 1.62 0.484 <0.001
Maternal education Elementary - - - (ref) - -
High school - - - −1.06 0.504 0.036
University - - - −2.29 0.568 <0.001
Family structure Nuclear - - - (ref) - -
Stepfamily - - - 0.22 0.837 0.789
Single-parent - - - 2.11 0.738 0.004
Unknown - - - 0.46 0.456 0.314
Maternal age at childbirth (years) - - - 0.03 0.045 0.487

Table 5.

Results of linear models for height in centimeters at 15 years.

Model 2 Model 3
(n = 2068) (n = 2068)
Adj. R2 = 0.341 Adj. R2 = 0.348
Variable β SE p β SE p
Picky eater No (ref) - - (ref) - -
Yes −0.94 0.400 0.018 −0.83 0.399 0.038
Birth length (cm) 0.96 0.069 <0.001 0.92 0.069 <0.001
Sex Male (ref) - - (ref) - -
Female −7.90 0.305 <0.001 −7.94 0.304 <0.001
Maternal education Elementary - - - (ref) - -
High school - - - 1.32 0.364 <0.001
University - - - 1.93 0.410 <0.001
Family structure Nuclear - - - (ref) - -
Stepfamily - - - −0.70 0.607 0.249
Single-parent - - - −0.11 0.536 0.832
Unknown - - - 0.01 0.331 0.976
Maternal age at childbirth (years) - - - −0.02 0.033 0.623

After adding more covariates in Model 3 for weight (Table 4), the results did not substantially change; picky eaters had a significantly lower weight (around 2.3 kg) than non-picky eaters. All covariates, except for maternal age at childbirth, were significantly associated with weight. Higher height and birth weight were associated with higher weight; girls had a higher weight (around 1.6 kg) than boys. Children of mothers with a highest secondary education achieved had a lower body weight (around 1.1 kg) than children of mothers with primary school; similarly, children of mothers with university education had a lower body weight (around 2.3 kg) than those of mothers with primary education. Furthermore, children from single-parent families had a higher weight (around 2.1 kg) than children from original biological families where both parents were present.

Similarly, in Model 3 for height (Table 5), picky eaters were significantly shorter than non-picky eaters (around 0.8 cm). The height was still positively associated with birth length, and girls were shorter than boys (around 8 cm). There was also an association between height and maternal education: children of mothers with an elementary education were significantly shorter than the children of mothers with a high school education (around 1.3 cm) and children of mothers with a university education (around 1.9 cm). No significant association between height and family structure nor maternal age at birth was found.

Adding parental height and weight to the models had very little effect on the association between picky eating and height/weight at 15 years. Picky eaters had, on average, 2.6 kg lower weight and 0.7 cm lower height compared to non-picky eater in these models (shown in the Supplementary Tables S1 and S2). All other associations from the previous models were virtually unchanged. No significant interactions between sex, maternal education, and family structure at 15 years and picky eating were identified, and they were thus excluded from presented results.

Excluding twins from the analysis did not have any effect on the results: both results for height and weight at age 15 remained virtually unchanged. When comparing those classified as strict picky-eaters and strict non-picky eaters, the effect of picky eating in the models for weight was more pronounced. Picky eaters were, on average, 4 kg lighter than non-picky eaters when adjusting for the same variables as in Model 3. With stricter criteria, models for height showed a weaker effect of picky eating.

4. Discussion

This longitudinal study investigated the influence of preschool picky eating on body weight and height status at the age of 15 in a cohort of children from the ELSPAC–CZ study. The prevalence of picky eating in the ELSPAC–CZ study was around 16.7%. A wide range of prevalence of picky eating was reported previously by Taylor et al. [2]. Therefore, it is difficult to compare the results of the prevalence of picky eating across various studies. There are huge methodological differences in the presented measurements [34], and uniform methodology to investigate the basis of picky eating is missing. The picky eating status introduced in this study was established based on a single question from the questionnaire completed by the mothers who reported on their children’s feeding behaviour. This approach is similar to the method previously used in the ALSPAC [2] or other studies [6,15,35].

To our knowledge, there have been very few longitudinal studies focusing on growth in picky children. Our analysis included 2068 children (girls and boys), and the picky eaters were identified at 1.5 years, 3 years, and 5 years, and anthropometric data were measured at 15 years of age. We found that the picky eaters had a lower weight and height than non-picky eaters. Specifically, the adjusted models showed negative associations with weight (the picky children were about 2.3 kg lighter than non-picky children) and negative associations with height (the picky children were about 0.8 cm shorter than non-picky children). This result remained significant even after adjustment for various covariates. Such an observation is well in line with the results of the recent analysis of the longitudinal study ALSPAC [28]. The ALSPAC analysis included 7420 children [2] (girls and boys) and identified the picky eaters at three years of age, and weight and height were measured at seven time-points at ages 7–17 years. The ALSPAC results showed evidence of strong negative associations with height in boys and girls (the picky children were about 1.5–2.0 cm and 1.0–1.5 cm shorter than non-picky children) as well as evidence of negative associations with weight in boys and girls (the picky children were about 1.5–2.5 kg and 1.0–1.5 kg lighter than non-picky children) [28]. Similar findings were also observed in the longitudinal study by Berger et al., which included 181 participants (non-Hispanic white girls) [20]. In their study, children were assessed biannually from ages 5 to 15 years and had lower BMIs than non-picky children at every age point from 5 to 15 years of age [20]. Despite similar results, the study by Berger et al. [20] had some differences when compared to our study, e.g., the study included only girls and used a different methodology of data gathering. The data were collected by completing a specific questionnaire, The Child Feeding Questionnaire. Finally, the study by Berger et al. did not include any potential confounders in its model, in contrast to our study or the ALSPAC study [28]. The other studies presented similar results as our study; however, they examined only weight status (or they used the BMI calculated from children’s weight and height), and the design of these studies was cross-sectional [16,36]. Another longitudinal study reported no association between pickiness and child weight or height [37]; however, the subjects were not of the same age as the subjects in our cohort. This cohort included only a small sample of 71 mothers whose children were participating in the study from 2 to 96 months of age, and the design was different, too: mothers reported on children’s diet through a diet record (12 days total), and they participated in an additional interview about mothers’ behaviors [37].

It is important to mention several methodological aspects of our study. The major strength of this study is its relatively large sample size and longitudinal data collection. Furthermore, it is important that our study brings exclusive evidence from a geographical region (Central Europe) where no previous evidence has existed, and it shows similar findings to those previously found in Western Europe in the ALSPAC study [28] and the study by Berger et al. [20] in the USA. Additionally, the differences in height and weight were persistent in models adjusted for the number of confounding variables. On the other hand, the major limitation is the establishment of a picky-eating status solely based on maternal reports, as the parents of picky eaters could be more likely to be concerned with their offspring’s health and wellbeing, and they could overestimate picky eating of their child.

5. Conclusions

In conclusion, persistent picky eating in preschool children is related to a lower weight and height at 15 years of age in the ELSPAC–CZ study. These results are in agreement with findings from previous studies; however, this is, to our knowledge, the first study in the Central-European region.

6. Key Messages

This study aimed to evaluate whether preschool children identified as picky eaters showed differences in anthropometric characteristics (weight and height) from their non-picky peers at 15 years of age. This study used the data from the European Longitudinal Study of Pregnancy and Childhood (ELSPAC–CZ). Picky eaters were identified at 1.5, 3, and 5 years of age and anthropometric characteristics were measured at 15 years of age (15 years). Differences have been identified between the body weight and height in picky and non-picky children; picky eaters had a lower weight and height than non-picky eaters at 15 years. These findings remained significant after controlling for a range of covariates.

List of Abbreviations

ALSPAC Avon Longitudinal Study of Pregnancy and Childhood
BMI Body Mass Index
ELSPAC–CZ European Longitudinal Study of Pregnancy and Childhood

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/nu14030444/s1, Table S1: Results of linear models for body weight in kilograms at 15 years with added parental height; Table S2: Results of linear models for height in centimetres at 15 years with added parental height.

Author Contributions

M.G.: Conceptualization, investigation, writing—original draft preparation, project administration; D.K.: validation, formal analysis, data curation; J.S.: data curation, formal analysis; H.P.: writing—review and editing, supervision; J.B.-V.: conceptualization, writing—review and editing, supervision. All authors have read and agreed to the published version of the manuscript.

Funding

This study has received support from RECETOX research infrastructure (Ministry of Education, Youth and Sports of the Czech Republic: LM2018121), Horizon 2020 Teaming 2 project (857560) and the Ministry of Education, Youth and Sports of the Czech Republic (CZ.02.1.01/0.0/0.0/17_04369/ 0009632 and CZ.02.1.01/0.0/0.0/15_003/ 0000469).

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by The Ethics Committee of ELSPAC, Approval Code: ELSPAC/EK/1/2014, Approval Date: 17 September 2014.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Dara is available upon request at www.elspac.cz, (accessed on 18 December 2021).

Conflicts of Interest

The authors declare no conflict of interest.

Footnotes

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.de Barse L.M., Tiemeier H., Leermakers E.T.M., Voortman T., Jaddoe V.W.V., Edelson L.R., Franco O.H., Jansen P.W. Longitudinal Association between preschool fussy eating and body composition at 6 years of age: The generation R study. Int. J. Behav. Nutr. Phys. Act. 2015;12:153. doi: 10.1186/s12966-015-0313-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Taylor C.M., Wernimont S.M., Northstone K., Emmett P.M. Picky/Fussy eating in children: Review of definitions, assessment, prevalence and dietary intakes. Appetite. 2015;95:349–359. doi: 10.1016/j.appet.2015.07.026. [DOI] [PubMed] [Google Scholar]
  • 3.van der Horst K., Deming D.M., Lesniauskas R., Carr B.T., Reidy K.C. Picky Eating: Associations with child eating characteristics and food intake. Appetite. 2016;103:286–293. doi: 10.1016/j.appet.2016.04.027. [DOI] [PubMed] [Google Scholar]
  • 4.Jacobi C., Schmitz G., Agras W.S. Is picky eating an eating disorder? Int. J. Eat. Disord. 2008;41:626–634. doi: 10.1002/eat.20545. [DOI] [PubMed] [Google Scholar]
  • 5.Dovey T.M., Staples P.A., Gibson E.L., Halford J.C.G. Food neophobia and ‘picky/fussy’ eating in children: A review. Appetite. 2008;50:181–193. doi: 10.1016/j.appet.2007.09.009. [DOI] [PubMed] [Google Scholar]
  • 6.Mascola A.J., Bryson S.W., Agras W.S. Picky Eating during childhood: A longitudinal study to age 11 years. Eat. Behav. 2010;11:253–257. doi: 10.1016/j.eatbeh.2010.05.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Tharner A., Jansen P.W., Kiefte-de Jong J.C., Moll H.A., van der Ende J., Jaddoe V.W., Hofman A., Tiemeier H., Franco O.H. Toward an operative diagnosis of fussy/picky eating: A Latent profile approach in a population-based cohort. Int. J. Behav. Nutr. Phys. Act. 2014;11:14. doi: 10.1186/1479-5868-11-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Micali N., Simonoff E., Elberling H., Rask C.U., Olsen E.M., Skovgaard A.M. Eating patterns in a population-based sample of children aged 5 to 7 years: Association with psychopathology and parentally perceived impairment. J. Dev. Behav. Pediatr. 2011;32:572–580. doi: 10.1097/DBP.0b013e31822bc7b7. [DOI] [PubMed] [Google Scholar]
  • 9.Machado B.C., Dias P., Lima V.S., Campos J., Gonçalves S. Prevalence and correlates of picky eating in preschool-aged children: A population-based study. Eat. Behav. 2016;22:16–21. doi: 10.1016/j.eatbeh.2016.03.035. [DOI] [PubMed] [Google Scholar]
  • 10.Carruth B.R., Ziegler P.J., Gordon A., Barr S.I. Prevalence of picky eaters among infants and toddlers and their caregivers’ decisions about offering a new food. J. Am. Diet. Assoc. 2004;104:57–64. doi: 10.1016/j.jada.2003.10.024. [DOI] [PubMed] [Google Scholar]
  • 11.Xue Y., Lee E., Ning K., Zheng Y., Ma D., Gao H., Yang B., Bai Y., Wang P., Zhang Y. Prevalence of Picky eating behaviour in chinese school-age children and associations with anthropometric parameters and intelligence quotient. A cross-sectional study. Appetite. 2015;91:248–255. doi: 10.1016/j.appet.2015.04.065. [DOI] [PubMed] [Google Scholar]
  • 12.Shim J.E., Kim J., Mathai R.A. Associations of infant feeding practices and picky eating behaviors of preschool children. J. Am. Diet. Assoc. 2011;111:1363–1368. doi: 10.1016/j.jada.2011.06.410. [DOI] [PubMed] [Google Scholar]
  • 13.Cardona Cano S., Tiemeier H., Van Hoeken D., Tharner A., Jaddoe V.W., Hofman A., Verhulst F.C., Hoek H.W. Trajectories of picky eating during childhood: A general population study. Int. J. Eat. Disord. 2015;48:570–579. doi: 10.1002/eat.22384. [DOI] [PubMed] [Google Scholar]
  • 14.Moroshko I., Brennan L. Maternal controlling feeding behaviours and child eating in preschool-aged children: Maternal feeding and child eating. Nutr. Diet. 2013;70:49–53. doi: 10.1111/j.1747-0080.2012.01631.x. [DOI] [Google Scholar]
  • 15.Jani Mehta R., Mallan K.M., Mihrshahi S. An exploratory study of associations between australian-indian mothers’ use of controlling feeding practices, concerns and perceptions of children’s weight and children’s picky eating: Feeding practices of australian-indian mothers. Nutr. Diet. 2014;71:28–34. doi: 10.1111/1747-0080.12046. [DOI] [Google Scholar]
  • 16.Galloway A.T., Fiorito L., Lee Y., Birch L.L. Parental Pressure, dietary patterns, and weight status among girls who are “picky eaters”. J. Am. Diet. Assoc. 2005;105:541–548. doi: 10.1016/j.jada.2005.01.029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Carruth B.R., Skinner J., Houck K., Moran J., Coletta F., Ott D. The phenomenon of “picky eater”: A behavioral marker in eating patterns of toddlers. J. Am. Coll. Nutr. 1998;17:180–186. doi: 10.1080/07315724.1998.10718744. [DOI] [PubMed] [Google Scholar]
  • 18.Dubois L., Farmer A.P., Girard M., Peterson K. Preschool children’s eating behaviours are related to dietary adequacy and body weight. Eur. J. Clin. Nutr. 2007;61:846–855. doi: 10.1038/sj.ejcn.1602586. [DOI] [PubMed] [Google Scholar]
  • 19.Taylor C.M., Northstone K., Wernimont S.M., Emmett P.M. Macro- and micronutrient intakes in picky eaters: A cause for concern? Am. J. Clin. Nutr. 2016;104:1647–1656. doi: 10.3945/ajcn.116.137356. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Berger P.K., Hohman E.E., Marini M.E., Savage J.S., Birch L.L. Girls’ picky eating in childhood is associated with normal weight status from ages 5 to 15 y12. Am. J. Clin. Nutr. 2016;104:1577–1582. doi: 10.3945/ajcn.116.142430. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Chao H.-C. Association of picky eating with growth, nutritional status, development, physical activity, and health in preschool children. Front. Pediatr. 2018;6:22. doi: 10.3389/fped.2018.00022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Viljakainen H.T., Figueiredo R.A.O., Rounge T.B., Weiderpass E. Picky Eating—A risk factor for underweight in finnish preadolescents. Appetite. 2019;133:107–114. doi: 10.1016/j.appet.2018.10.025. [DOI] [PubMed] [Google Scholar]
  • 23.Ekstein S., Laniado D., Glick B. Does picky eating affect weight-for-length measurements in young children? Clin. Pediatr. 2010;49:217–220. doi: 10.1177/0009922809337331. [DOI] [PubMed] [Google Scholar]
  • 24.Antoniou E.E., Roefs A., Kremers S.P.J., Jansen A., Gubbels J.S., Sleddens E.F.C., Thijs C. Picky eating and child weight status development: A longitudinal study. J. Hum. Nutr. Diet. Off. J. Br. Diet. Assoc. 2016;29:298–307. doi: 10.1111/jhn.12322. [DOI] [PubMed] [Google Scholar]
  • 25.Dubois L., Farmer A., Girard M., Peterson K., Tatone-Tokuda F. Problem eating behaviors related to social factors and body weight in preschool children: A longitudinal study. Int. J. Behav. Nutr. Phys. Act. 2007;4:9. doi: 10.1186/1479-5868-4-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Finistrella V., Manco M., Ferrara A., Rustico C., Presaghi F., Morino G. Cross-sectional exploration of maternal reports of food neophobia and pickiness in preschooler-mother dyads. J. Am. Coll. Nutr. 2012;31:152–159. doi: 10.1080/07315724.2012.10720022. [DOI] [PubMed] [Google Scholar]
  • 27.Falciglia G.A., Couch S.C., Gribble L.S., Pabst S.M., Frank R. Food neophobia in childhood affects dietary variety. J. Am. Diet. Assoc. 2000;100:1474–1481. doi: 10.1016/S0002-8223(00)00412-0. [DOI] [PubMed] [Google Scholar]
  • 28.Taylor C.M., Steer C.D., Hays N.P., Emmett P.M. Growth and body composition in children who are picky eaters: A longitudinal view. Eur. J. Clin. Nutr. 2018;73:869–878. doi: 10.1038/s41430-018-0250-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Golding J. European Longitudinal Study of Pregnancy and Childhood (ELSPAC) Paediatr. Perinat. Epidemiol. 1989;3:460–469. doi: 10.1111/j.1365-3016.1989.tb00533.x. [DOI] [PubMed] [Google Scholar]
  • 30.Golding J., Pembrey M., Jones R., ALSPAC Study Team ALSPAC—The avon longitudinal study of parents and children. I. study methodology. Paediatr. Perinat. Epidemiol. 2001;15:74–87. doi: 10.1046/j.1365-3016.2001.00325.x. [DOI] [PubMed] [Google Scholar]
  • 31.Piler P., Kandrnal V., Kukla L., Andrýsková L., Švancara J., Jarkovský J., Dušek L., Pikhart H., Bobák M., Klánová J. Cohort profile: The European Longitudinal Study of Pregnancy and Childhood (ELSPAC) in the Czech Republic. Int. J. Epidemiol. 2016;46:1379–1379f. doi: 10.1093/ije/dyw091. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Bienertová-Vašků J., Zlámal F., Pruša T., Novák J., Mikeš O., Čupr P., Pohořalá A., Švancara J., Andrýsková L., Pikhart H. Parental heights and maternal education as predictors of length/height of children at birth, age 3 and 19 years, independently on diet: The elspac study. Eur. J. Clin. Nutr. 2017;71:1193–1199. doi: 10.1038/ejcn.2016.244. [DOI] [PubMed] [Google Scholar]
  • 33.R Core Team . R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing; Vienna, Austria: 2020. [Google Scholar]
  • 34.Sandvik P., Ek A., Somaraki M., Hammar U., Eli K., Nowicka P. Picky eating in swedish preschoolers of different weight status: Application of two new screening cut-offs. Int. J. Behav. Nutr. Phys. Act. 2018;15:74. doi: 10.1186/s12966-018-0706-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Örün E., Erdil Z., Çetinkaya S., Tufan N., Yalçın S.S. Problematic eating behaviour in turkish children aged 12–72 months: Characteristics of mothers and children. Cent. Eur. J. Public Health. 2012;20:257–261. doi: 10.21101/cejph.a3748. [DOI] [PubMed] [Google Scholar]
  • 36.Webber L., Hill C., Saxton J., Van Jaarsveld C., Wardle J. Eating behaviour and weight in children. Int. J. Obes. 2009;33:21–28. doi: 10.1038/ijo.2008.219. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Carruth B.R., Skinner J.D. Revisiting the picky eater phenomenon: Neophobic Behaviors of young children. J. Am. Coll. Nutr. 2000;19:771–780. doi: 10.1080/07315724.2000.10718077. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Data Availability Statement

Dara is available upon request at www.elspac.cz, (accessed on 18 December 2021).


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