Hostname: page-component-cd9895bd7-q99xh Total loading time: 0 Render date: 2024-12-22T19:07:19.162Z Has data issue: false hasContentIssue false

Young adult nutrition and weight correlates of picky eating during childhood

Published online by Cambridge University Press:  06 December 2019

Megan H Pesch*
Affiliation:
Division of Developmental and Behavioral Pediatrics, Department of Pediatrics and the Center for Human Growth and Development, University of Michigan, 300 N. Ingalls Street, Room 1111, Ann Arbor, MI48109, USA
Katherine W Bauer
Affiliation:
Department of Nutritional Sciences, School of Public Health and the Center for Human Growth and Development, University of Michigan, Ann Arbor, MI, USA
Mary J Christoph
Affiliation:
Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
Nicole Larson
Affiliation:
Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
Dianne Neumark-Sztainer
Affiliation:
Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
*
*Corresponding author: Email [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Objective:

To identify whether picky eating during childhood is associated with dietary intake, weight status and disordered eating behaviour during young adulthood.

Design:

A population-based study using data from young adults who responded online or by mail to the third wave of the Project EAT (Eating and Activity in Teens and Young Adults) study in 2008–2009. Participants retrospectively reported the extent to which they were a picky eater in childhood, sociodemographic characteristics, disordered eating behaviours, usual dietary intake, and weight and height.

Setting:

Participants were initially recruited in the Minneapolis/St. Paul metropolitan area of Minnesota, USA, in 1998–1999.

Participants:

The analytic sample included 2275 young adults (55 % female, 48 % non-Hispanic White, mean age 25·3 (sd 1·6) years).

Results:

Young adults who reported picky eating in childhood were found to currently have lower intakes of fruit, vegetables and whole grains, and more frequent intakes of snack foods, sugar-sweetened beverages and foods from fast-food restaurants. No associations were observed between picky eating in childhood and young adults’ weight status, use of weight-control strategies or report of binge eating.

Conclusions:

While young adults who report picky eating during childhood are not at higher risk for disordered eating, those who were picky eaters tend to have less healthy dietary intake. Food preferences and dietary habits established by picky eaters during childhood may persist into adulthood.

Type
Research paper
Copyright
© The Authors 2019

Picky eating, defined as the avoidance or rejection of foods resulting in consumption of an inadequate variety of foods(Reference Dovey, Staples and Gibson1), is common among children(Reference Dovey, Staples and Gibson1Reference Jacobi, Schmitz and Agras4). While parents are often concerned about their children’s picky eating(Reference Brown, Pesch and Perrin5,Reference Ekstein, Laniado and Glick6) , evidence is mixed regarding whether the impacts of picky eating on children are clinically meaningful(Reference Dovey, Staples and Gibson1,Reference Jacobi, Schmitz and Agras4,Reference Ekstein, Laniado and Glick6Reference Jacobi, Agras and Bryson8) . Some studies have found that children who are picky eaters consume less protein and fewer servings of fruits and vegetables(Reference Brown, Perrin and Peterson9Reference Rohde, Händel and Stougaard11), and more fat and sweets(Reference Volger, Sheng and Tong12). Overall, however, the nutritional impact of commonplace picky eating is generally considered to be minimal(Reference Brown, Perrin and Peterson9) and may even be protective with regard to obesity(Reference Webber, Hill and Saxton13). This knowledge, in concert with evidence that pressuring children to eat does not improve children’s picky eating(Reference Lumeng, Miller and Appugliese14), has led to recommendations that clinicians reassure parents that for most children, picky eating will not have long-term impacts on health(Reference Brown, Perrin and Peterson9).

However, the vast majority of research on picky eating has focused on nutritional impacts and growth during childhood. Very few studies have examined the adult consequences of being a picky eater during childhood(Reference Van Tine, McNicholas and Safer3,Reference Ellis, Galloway and Webb15Reference Marchi and Cohen17) . Despite high attention to the impact of picky eating on children’s dietary quality(Reference Brown, Perrin and Peterson9,Reference Brown, Vander Schaaf and Cohen18) , no studies have examined whether adults who were picky eaters as children consume diets of differing quality than adults who were not picky eaters. The studies of individuals who were picky eaters as children that do exist have focused on disordered eating behaviours and have produced inconsistent evidence regarding whether childhood picky eating increases risk for disordered eating behaviours later in life. Findings from one study(Reference Marchi and Cohen17) suggest that individuals who are picky eaters as children have a greater risk for developing an eating disorder (e.g. anorexia nervosa) as adolescents and adults. However, that study defined picky eating atypically as a composite of poor appetite, mealtime conflicts and stomach pain. Meanwhile, other studies have found that picky eating in childhood is protective against(Reference Micali, Holliday and Karwautz19) or not associated with(Reference Van Tine, McNicholas and Safer3,Reference Ellis, Galloway and Webb15,Reference Kotler, Cohen and Davies16) disordered eating in adulthood.

In light of our limited understanding of the long-term consequences of picky eating during childhood, the objectives of the current exploratory study were to understand whether self-reported picky eating during childhood is associated with dietary intake, weight status and disordered eating behaviour during young adulthood among a large, sociodemographically diverse sample. Identifying how picky eating during childhood may be associated with eating behaviours later in life is important to inform the counselling of picky eaters and their families, and for identifying individuals who may need greater monitoring for disordered eating, specifically binge eating and unhealthy weight-control strategies, and poor-quality dietary intake through adolescence into adulthood. Of note, avoidant restrictive food intake (ARFID) behaviours were not evaluated in the present study.

Methods

Study design and population

Data for the present population-based study were drawn from Project EAT-III (Eating and Activity in Teens and Young Adults), the third wave of a cohort study designed to examine dietary intake, physical activity, weight-control behaviours and weight status, and factors associated with these outcomes, among a large, diverse sample of young adults. Study participants originally enrolled in Project EAT as middle-school and high-school students in the Minneapolis/St. Paul metropolitan area of Minnesota, USA, in 1998–1999. Ten years later, in 2008–2009, participants were mailed letters inviting them to an complete online or paper version of the Project EAT-III survey and an FFQ. A total of 2287 young adults completed the Project EAT-III survey between November 2008 and October 2009, representing 66·4 % of Project EAT participants who could be contacted. Picky eating was measured by self-report on a continuous scale of 1–4. Nine participants did not complete the measure of childhood picky eating and were excluded from the current study’s analytic sample, resulting in a sample size of 2278. Analyses were weighted (n weighted 2275) so the sample demographically represented the original sample of youth who participated in Project EAT. Of participants who completed the Project EAT-III survey, 88·5 % completed the FFQ, resulting in an analytic sample of n unweighted 2016 for analyses examining dietary intake. Participants who completed the FFQ were more likely to be White and have higher socio-economic status (SES) during adolescence, but were similar to other participants in terms of sex and age. All study protocols were approved by the University of Minnesota’s Institutional Review Board Human Subjects Committee.

Survey development and measures

The Project EAT-III survey was created by adapting the Project EAT baseline survey, which was used to assess determinants of dietary intake and weight status among adolescents. Adaptations were made to improve the relevance of items for young adults and to include newly created items and measures from other studies that would allow for investigating areas of growing interest. The Project EAT-III survey was pilot tested to examine test–retest reliability over a period of 1 to 3 weeks, and psychometric values are provided for each measure below when available. Additional details of the survey development process are described elsewhere(Reference Larson, Neumark-Sztainer and Story20).

Childhood picky eating

The extent to which young adults were picky eaters during childhood was assessed with the survey item, ‘I was a picky eater growing up’, to which participants responded on a 4-point Likert scale ranging from ‘strongly disagree’ to ‘strongly agree’ (test–retest r = 0·85). Use of a single continuous survey item to assess picky eating was based on prior literature(Reference Carruth, Ziegler and Gordon2,Reference Chatoor, Ganiban and Hirsch21,Reference Mascola, Bryson and Agras22) .

Weight status

Participants’ weight status was assessed using self-reported height and weight, from which BMI (kg/m2) was calculated. The use of self-reported height and weight (test–retest reliability r = 0·99 for height and weight) was validated in a sub-sample of sixty-three male and sixty-two female participants in Project EAT-III for whom height and weight measurements were both self-reported and measured by trained research staff(Reference Sirard, Hannan and Cutler23,Reference Quick, Wall and Larson24) . Very high correlations were observed between self-reported BMI and measured BMI in males (r = 0·95) and females (r = 0·98). Weight status was categorized according to current BMI guidelines for adults (normal weight/underweight: BMI < 25 kg/m2; overweight: BMI ≥ 25 and <30 kg/m2; obesity: BMI ≥ 30 kg/m2). Only fifty-seven participants had a BMI in the underweight range (BMI < 18·5 kg/m2), therefore the underweight and normal weight status categories were combined.

Unhealthy and extreme weight-control behaviours

Participants’ use of weight-control behaviours was assessed with the question, ‘Have you done any of the following things in order to lose weight or keep from gaining weight during the past year?’ with response options of ‘yes’ and no’ for each behaviour. Weight-control behaviours categorized as unhealthy included: (i) fasted; (ii) ate very little food; (iii) used a food substitute (powder or a special drink); (iv) skipped meals; and (v) smoked more cigarettes. Weight-control behaviours categorized as extreme included: (i) took diet pills; (ii) made myself vomit; (iii) used laxatives; and (iv) used diuretics. Participants reporting the use of one or more of the behaviours were respectively coded as having used any unhealthy or extreme weight-control behaviours (test–retest agreement = 83 % for unhealthy behaviours and 97 % for extreme behaviours).

Binge eating with loss of control

Two survey questions were used to assess the experience of binge eating with loss of control over the past year. Participants first responded ‘yes’ or ‘no’ to the question, ‘In the past year, have you ever eaten so much food in a short period of time that you would be embarrassed if others saw you (binge-eating)?’ Test–retest agreement for this question = 92 %. If participants selected ‘yes’, they were then asked, ‘During the times when you ate this way, did you feel you couldn’t stop eating or control what or how much you were eating?’ with the response options of ‘yes’ and ‘no’. Test–retest agreement for this question = 84 %. Participants who responded ‘yes’ to both of these questions were identified as having experienced binge eating with loss of control in the past year(Reference Yanovski, Nelson and Dubbert25).

Dietary intake

Monthly fast-food intake was determined using a five-item measure asking participants how often in the past month they ate something from the following types of restaurants, including take-out and delivery: traditional ‘burger-and-fries’ fast-food restaurant; Mexican fast-food, fried chicken, sandwich or sub shop; pizza place; and Asian fast food. Test–retest reliability for each of the types of restaurant ranged from 0·43 to 0·83. Intakes of other foods and nutrients were measured using the 2007 grid form of the 151-item, Willett semi-quantitative FFQ, which assesses participants’ usual dietary intake during the past year. For each food item, participants reported their intake by selecting one of nine frequency categories that range from ‘never or less than once per month’ to ‘six plus per day’. The reproducibility and validity of this FFQ have been previously evaluated(Reference Rimm, Giovannucci and Stampfer26,Reference Feskanich, Rimm and Giovannucci27) . One-year reproducibility coefficients for unadjusted nutrient intake ranged from 0·47 to 0·80. Foods were grouped into the following categories: fruit (excluding juice); vegetables (excluding French fries); dark green and orange vegetables; whole grains; snack foods (e.g. potato chips, candy bars, doughnuts, crackers); and sugar-sweetened beverages. A daily serving was defined as the equivalent of one-half cup for fruit and vegetables, and 16 g for whole grains. For sugar-sweetened beverages, a serving was defined as the equivalent of one glass, bottle or can. Daily intakes of energy and nutrients were determined in 2009 by the Nutrition Questionnaire Service Center at the Harvard School of Public Health using a specially designed database, primarily based on the US Department of Agriculture’s Nutrient Database for Standard Reference (release 19)(28). Macro- and micronutrients selected for examination included saturated fat, total fat, carbohydrates, Ca and Fe.

Sociodemographic characteristics

Participants self-reported their sex, date of birth (from which age was calculated) and ethnicity/race. Because current educational attainment, income or occupation may not accurately reflect available socio-economic resources for young adults, a measure of SES created at baseline from responses in Project EAT when the participants were adolescents was used. This five-category SES indicator was formed using an algorithm composed of adolescent-reported parent education, eligibility for public assistance, eligibility for free/reduced-price school meals and parent employment(Reference Sherwood, Wall and Neumark-Sztainer29).

Statistical analysis

Bivariate associations between participants’ agreement that they were a picky eater growing up and sociodemographic characteristics were first examined to understand how childhood picky eating varies across sociodemographic characteristics in the diverse study sample. Logistic regression models were then used to examine how picky eating (modelled as a continuous predictor variable) related to weight status category (overweight v. BMI < 25 kg/m2; obesity v. BMI < 25 kg/m2) and use of unhealthy and extreme weight-control behaviours. Each model was adjusted a priori for sex, ethnicity/race and SES; these covariates were selected a priori as potential confounding factors and their inclusion in the regression models helps to reduce variability in the associations between picky eating and the outcomes. Models examining weight-control behaviours and binge eating additionally included adjustment for BMI. To characterize how picky eating during childhood related to current dietary intake, linear regression models were used to estimate least-squares mean intake, in servings per day, of fruits, vegetables, dark green vegetables, whole grains, sugar-sweetened beverages and other indicators of diet quality. Models examining associations between childhood picky eating and young adult fast-food and energy intakes were adjusted for age, sex, ethnicity/race and SES during adolescence. Other models examining dietary outcomes were additionally adjusted for total daily energy intake. Analyses were performed using the statistical software package SAS version 9.4. Since attrition did not occur randomly from Project EAT-I, the response propensity method(Reference Little30) was used to weight data in all analyses to allow better representation of the demographic make-up of the school-based adolescent sample surveyed in Minneapolis/St. Paul during 1998–1999(Reference Sherwood, Wall and Neumark-Sztainer29).

Results

Self-reported endorsement of being a picky eater as a child was distributed equally across the four response categories ranging from strongly disagree (30·3 %) to strongly agree (21·9 %; Table 1). Childhood picky eating did not differ by young adults’ sex, current age or SES during adolescence. Differences in picky eating by ethnicity/race were observed. While 23·8 % of non-Hispanic White participants and 26·7 % of non-Hispanic Black participants strongly agreed that they were a picky eater growing up, only 11·8 % of non-Hispanic Asian participants strongly agreed with this statement.

Table 1 Demographic characteristics of the sample of young adults, overall and by endorsement of picky eating during childhood; Project EAT-III (Eating and Activity in Teens and Young Adults), Minneapolis/St. Paul, MN, USA, 2008–2009

SES, socio-economic status.

Data are presented as n and %, unless indicated otherwise.

* n for individual variables may not add to 2275 due to missing data.

Several relationships were observed between extent of childhood picky eating and current dietary intake in adjusted analyses (Table 2). Picky eating during childhood was associated with lower young adult daily intake of fruit (linear trend (se) = −0·11 (0·03), P < 0·001), vegetables (linear trend (se) = −0·27 (0·04), P < 0·001) and whole grains (linear trend (se) = −0·08 (0·03), P = 0·004). For example, young adults who strongly agreed they were a picky eater as a child consumed 0·82 fewer servings of vegetables daily than those who strongly disagreed they were a picky eater. Young adults who more strongly agreed they were a picky eating during childhood also reported higher current intakes of snack foods (linear trend (se) = 0·11 (0·02), P < 0·001) and sugar-sweetened beverages (linear trend (se) = 0·11 (0·02), P < 0·001), and more frequently ate foods from fast-food restaurants (linear trend (se) = 1·15 (0·26), P < 0·001). While no differences were found in total daily energy intake by extent of childhood picky eating, pickier eating during childhood was associated with higher carbohydrate intake among young adults. Picky eating in childhood was also negatively associated with young adult intake of Ca (linear trend (se) = −22·3 (10·4), P = 0·03), but not Fe.

Table 2 Associations between picky eating during childhood and young adult usual daily dietary intake; Project EAT-III (Eating and Activity in Teens and Young Adults), Minneapolis/St. Paul, MN, USA, 2008–2009

SES, socio-economic status.

* Models adjusted for daily energy intake, age, sex, ethnicity/race and SES during adolescence.

Models adjusted for age, sex, ethnicity/race and SES during adolescence.

In adjusted analyses, picky eating in childhood was not associated with odds of having an overweight or obese weight status compared with underweight or normal weight status in young adulthood (Table 3). Furthermore, in both unadjusted (results not shown but available from authors upon request) and adjusted analyses, picky eating in childhood was not associated with use of weight-control strategies (unhealthy or extreme) or binge eating with loss of control as a young adult (Table 3).

Table 3 Associations between picky eating during childhood and young adult weight status, weight-control behaviours and binge eating with loss of control; Project EAT-III (Eating and Activity in Teens and Young Adults), Minneapolis/St. Paul, MN, USA, 2008–2009

SES, socio-economic status.

* Sex, ethnicity/race and SES included as covariates. Weight-control strategies and binge eating with loss of control models additionally include adjustment for BMI.

Discussion

The present study sought to identify whether retrospective report of picky eating during childhood was associated with indicators of current dietary quality, weight status or unhealthy weight-control behaviours among a diverse, population-based sample of young adults. Report of picky eating in childhood was associated with multiple indicators of poorer dietary quality in young adulthood, including lower intakes of fruit, vegetables and whole grains, and more frequent intakes of snack foods, sugar-sweetened beverages and foods from fast-food restaurants. Of note, childhood picky eaters consumed almost a serving less of vegetables per day as young adults than their non-picky counterparts. These dietary patterns observed in young adults who reported picky eating during childhood are similar to those found among children who are picky eaters (e.g. reduced dietary variety, higher intake of sweet foods)(Reference Volger, Sheng and Tong12). No associations were found between picky eating in childhood and current weight status, use of unhealthy or extreme weight-control behaviours or binge eating.

Parents of children who are picky eaters often report being frustrated and/or concerned with their children’s limited intake and consequently provide less structured eating environments and more frequent access to highly palatable foods as a means to ensure their child is consuming sufficient energy(Reference Brewis and Gartin31Reference Harris, Fildes and Mallan33). In the present study, young adults who were picky eaters as children more frequently consumed highly palatable foods of low nutritional quality. This suggests that parental feeding practices, in concert with youths’ continued biologically driven food aversions(Reference Fildes, van Jaarsveld and Cooke34), may contribute to less healthy food preferences that persist into young adulthood. Long-term diets characterized by low intakes of fruit, vegetables, whole grains and Ca, and high intakes of fast foods, sugar-sweetened beverages and processed foods, can contribute to chronic conditions including diabetes and CVD even in the absence of a higher weight status(Reference Yang, Zhang and Gregg35,Reference Hu, Manson and Stampfer36) . Therefore, it may be particularly important to advise parents of picky eaters not to encourage their children to eat foods of low nutritional quality as a means to promote eating more. Furthermore, children who display problematic or persistent picky eating may benefit from an evaluation for ARFID as may be requested by parents in coordination with paediatricians or psychologists.

Findings that young adults who report picky eating during childhood have consistently lower intakes of healthful food groups and nutrients is of concern, and mirrors findings in adult picky eaters(Reference Ellis, Galloway and Zickgraf37). A small number of recent studies have characterized adults who currently identify as picky eaters(Reference Ellis, Galloway and Zickgraf37Reference Kauer, Pelchat and Rozin41). Similar to children who are picky eaters, adult picky eaters have lower dietary variety and lower fruit and vegetable intakes than their non-picky counterparts(Reference Zickgraf and Schepps42). This profile is similar to the present study’s findings among adults who report being picky as children. However, a limitation of the present study is that participants’ perception of whether they are currently a picky eater was not measured, so it is not possible to distinguish between young adults whose picky eating persisted from childhood and those who are no longer picky. Additional research is needed to differentiate dietary outcomes among children whose picky eating persists into adulthood, children whose picky eating resolves by adulthood, and adults for whom picky eating is new.

Despite the observed associations with intake of energy-dense food choices, picky eating as a child was not associated with higher weight status in young adulthood. Some(Reference Ferreira and Marques-Vidal43Reference Viljakainen, Figueiredo and Rounge47) but not all(Reference Finistrella, Manco and Ferrara48,Reference Jiang, Yang and Zhang49) previous studies of children who are picky eaters suggest that picky eating is associated with a lower likelihood of experiencing obesity. Studies of picky eating among adults have also found that adult picky eaters do not differ from non-picky eaters in their likelihood of having low BMI or overweight (BMI between 25 and 30 kg/m2), but may be less likely to experience obesity (BMI ≥ 30 kg/m2) than non-picky eaters(Reference Wildes, Zucker and Marcus38). Among participants in the current study, it may be that despite consuming diets of poorer nutritional quality, adults who were picky eaters as children are not consuming more energy and thus are not at elevated risk for obesity in the long term. Alternatively, the impacts of a diet high in energy-dense, highly processed foods on weight may be more likely to emerge later in life, beyond the young adult years. Future studies that follow individuals who were picky as children into middle adulthood are needed to more fully understand the role of picky eating in weight later in life. The present study did not examine the potential for heterogeneous outcomes of picky eating; other factors such as appetitive traits may contribute to differences in diet, weight and disordered eating behaviours among picky eaters.

Our findings that picky eating in childhood was not associated with unhealthy or extreme weight-control behaviours or binge eating are consistent with some of previous studies in this area(Reference Van Tine, McNicholas and Safer3,Reference Jacobi, Schmitz and Agras4,Reference Ellis, Galloway and Webb15,Reference Kotler, Cohen and Davies16) . Studies examining the association between adult picky eating and disordered eating in adulthood have produced mixed findings, with one study(Reference Kauer, Pelchat and Rozin41) finding no association and others(Reference Wildes, Zucker and Marcus38Reference Zickgraf, Franklin and Rozin40,Reference Zickgraf and Ellis50) finding some overlap between picky eating and disordered eating behaviours in adulthood. These differences between studies of children who were picky eaters v. adult picky eaters may reflect differences in disordered eating behaviours. However, they are dependent on the extent to which picky eating resolves by adulthood. It is also important to differentiate commonplace picky eating from ARFID, which is an eating disorder characterized by selective eating or food restriction, involving limited dietary variety or volume associated with one or more of the following: faltering growth, weight loss, dependence on tube feeding or supplements and/or psychosocial impairment(Reference Eddy, Harshman and Becker51). ARFID has been found to be associated with picky eating in adults(Reference Wildes, Zucker and Marcus38,Reference Zimmerman and Fisher52,Reference Thomas, Lawson and Micali53) . ARFID was not assessed in the present study; however, given the overlap of picky eating behaviour and ARFID in adults(Reference Wildes, Zucker and Marcus38), it will be important for future studies to measure the overlap and emergence of both ARFID and picky eating during childhood and young adulthood.

Among the large sample of young adults participating in Project EAT-III, there were few sociodemographic differences according to extent of childhood picky eating. The existing literature is mixed with regard to whether there is sociodemographic variation among children who are picky eaters. Some studies(Reference Taylor, Wernimont and Northstone54) find male children are more likely to be picky eaters, while others(Reference Mascola, Bryson and Agras22) have not found any sex differences. Furthermore, children of higher SES compared with lower SES are more likely to be picky eaters in some studies(Reference Evans, Seth and Smith55), whereas other work(Reference Cardona Cano, Tiemeier and Van Hoeken7) has found that lower-SES children are more likely to be persistently picky across childhood. One study of lower-SES parents suggested that families with more limited resources do not have the ‘luxury’ of wasting food while trying to repeatedly expose their picky eaters to new flavours or dietary variety(Reference Faught, McLaren and Kirkpatrick56,Reference Darmon and Drewnowski57) , which may limit children’s ability to overcome picky eating(Reference Wiig and Smith58). However, in the current study, young adults who were raised in lower-SES households during adolescence were not more or less likely to endorse that they were picky eaters as children.

Strengths of the present study include the large, sociodemographically diverse sample with well-characterized dietary intake. While there are limitations to the use of FFQ to assess dietary intake(Reference Dhurandhar, Schoeller and Brown59,Reference Subar, Freedman and Tooze60) , the Willett semi-quantitative FFQ has been evaluated for validity and reliability(Reference Labonté, Cyr and Baril-Gravel61) and has been frequently used in large epidemiological cohorts such as the Project EAT sample where alternative measurement approaches, such as repeated 24 h dietary recalls, are not feasible. The retrospective recall of picky eating in the present study also makes report of picky eating vulnerable to bias, and the extent to which participants’ endorsement of picky eating may be impacted by their current food preferences cannot be determined. However, retrospective assessment of childhood picky eating has been used in previous studies(Reference Ellis, Galloway and Webb15). It should also be considered that young adults whose parents recall them as being picky and engaged in more coercive and intrusive styles of feeding may be more likely to recall themselves as being picky in childhood(Reference Fernandez, DeJesus and Miller62). Longitudinal studies of child eating and parental feeding behaviours are necessary to disentangle these relationships. Furthermore, picky eating was measured using the result of a single item that included the term ‘growing up’, which may be interpreted differently by different participants, possibly influencing findings. Participants who exhibited picky eating behaviours but did not self-identify as ‘picky’ in childhood may have also been missed. Participants who completed the FFQ were more likely to be White non-Hispanic and high SES, which may limit generalizability of results. Finally, all participants with BMI below 25 kg/m2 were categorized together as only a small number of participants had a BMI in the underweight weight status category. However, in supplemental analyses in which participants with BMI < 18·5 kg/m2 were examined separately, childhood picky eating was not associated with an increased risk of being overweight.

Conclusions

While young adults who reported that they were a picky eater as a child may not be at increased risk for unhealthy weight-control practices or binge eating, their current dietary intake, exemplified by higher intakes of fast foods, snacks and sugar-sweetened beverages compared with adults who were not picky eaters as children, may reflect a persistence of poor-quality dietary intake from childhood. Study findings suggest that it may be particularly valuable for parents of picky eaters to use feeding practices that expose children to a wide variety of foods to instil positive long-term habits. Parents of picky eaters should also consider avoiding pressured feeding strategies such as bribing children to eat, using food as a reward or encouraging children to eat energy-dense, low-nutritional-quality foods, which may promote unhealthy future eating habits(Reference Mallan, Jansen and Harris32). Understanding young adults’ history and persistence of picky eating may aid in identifying and addressing current dietary habits. Future work should examine whether the eating and weight-control behaviours of young adults who were picky eaters in childhood differ by parent feeding practices. Further, recognizing and addressing the behavioural or health conditions that may underlie children’s picky eating could help improve individuals’ dietary trajectories into young adulthood. Finally, further research on the long-term consequences of picky eating that uses comprehensive measures of picky eating and a longitudinal study design is needed.

Acknowledgements

Financial support: This work was supported by the National Heart, Lung, and Blood Institute (D.N.-S., grant numbers R01HL084064 and R35HL139853); and the American Heart Association (M.H.P., grant number 17FTF33630183). The National Heart, Lung, and Blood Institute, the National Institutes of Health and the American Heart Association had no role in the design, analysis or writing of this article. Conflict of interest: None. Authorship: D.N.-S. conceived of the overall study which provided the source of data and N.L. managed the collection of data. M.H.P., K.W.B., M.J.C., N.L. and D.N.-S. designed this specific study and formulated the research questions. M.J.C. conducted the data analysis and contributed to drafting of the manuscript. M.H.P. and K.W.B. conducted literature searches and interpreted the data with N.L., D.N.-S. and M.J.C. M.H.P. and K.W.B. drafted the manuscript. All authors contributed to and approved the final manuscript. Ethics of human subject participation: This study was conducted according to the guidelines laid down in the Declaration of Helsinki and all procedures involving human subjects were approved by the University of Minnesota Institutional Review Board. Written informed consent was obtained from all subjects.

References

Dovey, TM, Staples, PA, Gibson, ELet al. (2008) Food neophobia and ‘picky/fussy’ eating in children: a review. Appetite 50, 181193.CrossRefGoogle ScholarPubMed
Carruth, BR, Ziegler, PJ, Gordon, Aet al. (2004) Prevalence of picky eaters among infants and toddlers and their caregivers’ decisions about offering a new food. J Am Diet Assoc 104, 5764.CrossRefGoogle ScholarPubMed
Van Tine, ML, McNicholas, F, Safer, DLet al. (2017) Follow-up of selective eaters from childhood to adulthood. Eat Behav 26, 6165.CrossRefGoogle ScholarPubMed
Jacobi, C, Schmitz, G & Agras, WS (2008) Is picky eating an eating disorder? Int J Eat Disord 41, 626634.CrossRefGoogle ScholarPubMed
Brown, CL, Pesch, MH, Perrin, EMet al. (2016) Maternal concern for child undereating. Acad Pediatr 16, 777782.10.1016/j.acap.2016.06.004CrossRefGoogle ScholarPubMed
Ekstein, S, Laniado, D & Glick, B (2010) Does picky eating affect weight-for-length measurements in young children? Clin Pediatr (Phila) 49, 217220.CrossRefGoogle ScholarPubMed
Cardona Cano, S, Tiemeier, H, Van Hoeken, Det al. (2015) Trajectories of picky eating during childhood: a general population study. Int J Eat Disord 48, 570579.CrossRefGoogle ScholarPubMed
Jacobi, C, Agras, WS, Bryson, Set al. (2003) Behavioral validation, precursors, and concomitants of picky eating in childhood. J Am Acad Child Adolesc Psychiatry 42, 7684.CrossRefGoogle ScholarPubMed
Brown, CL, Perrin, EM, Peterson, KEet al. (2017) Association of picky eating with weight status and dietary quality among low-income preschoolers. Acad Pediatr 18, 334341.10.1016/j.acap.2017.08.014CrossRefGoogle ScholarPubMed
Cooke, L, Carnell, S & Wardle, J (2006) Food neophobia and mealtime food consumption in 4–5 year old children. Int J Behav Nutr Phys Act 3, 14.10.1186/1479-5868-3-14CrossRefGoogle ScholarPubMed
Rohde, JF, Händel, MN, Stougaard, Met al. (2017) Relationship between pickiness and subsequent development in body mass index and diet intake in obesity prone normal weight preschool children. PLoS One 12, e0172772.CrossRefGoogle ScholarPubMed
Volger, S, Sheng, X, Tong, Met al. (2013) Dietary patterns and nutrients intakes of preschool children with picky-eating behaviours. ESPGAN 2013, 13e1141.Google Scholar
Webber, L, Hill, C, Saxton, Jet al. (2009) Eating behaviour and weight in children. Int J Obes (Lond) 33, 2128.CrossRefGoogle ScholarPubMed
Lumeng, JC, Miller, AL, Appugliese, Det al. (2018) Picky eating, pressuring feeding, and growth in toddlers. Appetite 123, 299305.CrossRefGoogle ScholarPubMed
Ellis, JM, Galloway, AT, Webb, RMet al. (2016) Recollections of pressure to eat during childhood, but not picky eating, predict young adult eating behavior. Appetite 97, 5863.CrossRefGoogle Scholar
Kotler, LA, Cohen, P, Davies, Met al. (2001) Longitudinal relationships between childhood, adolescent, and adult eating disorders. J Am Acad Child Adolesc Psychiatry 40, 14341440.CrossRefGoogle ScholarPubMed
Marchi, M & Cohen, P (1990) Early childhood eating behaviors and adolescent eating disorders. J Am Acad Child Adolesc Psychiatry 29, 112117.CrossRefGoogle ScholarPubMed
Brown, CL, Vander Schaaf, EB, Cohen, GMet al. (2016) Association of picky eating and food neophobia with weight: a systematic review. Child Obes 12, 247262.CrossRefGoogle ScholarPubMed
Micali, N, Holliday, J, Karwautz, Aet al. (2007) Childhood eating and weight in eating disorders: a multi-centre European study of affected women and their unaffected sisters. Psychother Psychosom 76, 234241.CrossRefGoogle ScholarPubMed
Larson, N, Neumark-Sztainer, D, Story, Met al. (2011) Identifying correlates of young adults’ weight behavior: survey development. Am J Health Behav 35, 712725.Google ScholarPubMed
Chatoor, I, Ganiban, J, Hirsch, Ret al. (2000) Maternal characteristics and toddler temperament in infantile anorexia. J Am Acad Child Adolesc Psychiatry 39, 743751.CrossRefGoogle ScholarPubMed
Mascola, AJ, Bryson, SW & Agras, WS (2010) Picky eating during childhood: a longitudinal study to age 11 years. Eat Behav 11, 253257.CrossRefGoogle ScholarPubMed
Sirard, JR, Hannan, P, Cutler, GJet al. (2013) Evaluation of 2 self-report measures of physical activity with accelerometry in young adults. J Phys Act Health 10, 8596.10.1123/jpah.10.1.85CrossRefGoogle ScholarPubMed
Quick, V, Wall, M, Larson, Net al. (2013) Personal, behavioral and socio-environmental predictors of overweight incidence in young adults: 10-yr longitudinal findings. Int J Behav Nutr Phys Act 10, 37.CrossRefGoogle ScholarPubMed
Yanovski, SZ, Nelson, JE, Dubbert, BKet al. (1993) Association of binge eating disorder and psychiatric comorbidity in obese subjects. Am J Psychiatry 150, 14721479.Google ScholarPubMed
Rimm, EB, Giovannucci, EL, Stampfer, MJet al. (1992) Reproducibility and validity of an expanded self-administered semiquantitative food frequency questionnaire among male health professionals. Am J Epidemiol 135, 11141126.10.1093/oxfordjournals.aje.a116211CrossRefGoogle ScholarPubMed
Feskanich, D, Rimm, EB, Giovannucci, ELet al. (1993) Reproducibility and validity of food intake measurements from a semiquantitative food frequency questionnaire. J Am Diet Assoc 93, 790796.CrossRefGoogle ScholarPubMed
US Department of Agriculture, Agricultural Research Service (2006) USDA National Nutrient Database for Standard Reference, Release 19. Beltsville, MD: US Department of Agriculture, Agricultural Research Service.Google Scholar
Sherwood, NE, Wall, M, Neumark-Sztainer, Det al. (2009) Effect of socioeconomic status on weight change patterns in adolescents. Prev Chronic Dis 6, A19.Google ScholarPubMed
Little, RJ (1986) Survey nonresponse adjustments for estimates of means. Int Stat Rev/Rev Int Stat 54, 139157.CrossRefGoogle Scholar
Brewis, A & Gartin, M (2006) Biocultural construction of obesogenic ecologies of childhood: parent-feeding versus child-eating strategies. Am J Hum Biol 18, 203213.CrossRefGoogle ScholarPubMed
Mallan, KM, Jansen, E, Harris, Het al. (2018) Feeding a fussy eater: examining longitudinal bidirectional relationships between child fussy eating and maternal feeding practices. J Pediatr Psychol 43, 11381146.CrossRefGoogle ScholarPubMed
Harris, HA, Fildes, A, Mallan, KMet al. (2016) Maternal feeding practices and fussy eating in toddlerhood: a discordant twin analysis. Int J Behav Nutr Phys Act 13, 81.CrossRefGoogle ScholarPubMed
Fildes, A, van Jaarsveld, CH, Cooke, Let al. (2016) Common genetic architecture underlying young children’s food fussiness and liking for vegetables and fruit. Am J Clin Nutr 103, 10991104.CrossRefGoogle ScholarPubMed
Yang, Q, Zhang, Z, Gregg, EWet al. (2014) Added sugar intake and cardiovascular diseases mortality among US adults. JAMA Intern Med 174, 516524.CrossRefGoogle ScholarPubMed
Hu, FB, Manson, JE, Stampfer, MJet al. (2001) Diet, lifestyle, and the risk of type 2 diabetes mellitus in women. N Engl J Med 345, 790797.CrossRefGoogle ScholarPubMed
Ellis, JM, Galloway, AT, Zickgraf, HFet al. (2018) Picky eating and fruit and vegetable consumption in college students. Eat Behav 30, 58.CrossRefGoogle ScholarPubMed
Wildes, JE, Zucker, NL & Marcus, MD (2012) Picky eating in adults: results of a web-based survey. Int J Eat Disord 45, 575582.CrossRefGoogle ScholarPubMed
Ellis, JM, Schenk, RR, Galloway, ATet al. (2018) A multidimensional approach to understanding the potential risk factors and covariates of adult picky eating. Appetite 125, 19.CrossRefGoogle ScholarPubMed
Zickgraf, HF, Franklin, ME & Rozin, P (2016) Adult picky eaters with symptoms of avoidant/restrictive food intake disorder: comparable distress and comorbidity but different eating behaviors compared to those with disordered eating symptoms. J Eat Disord 4, 26.CrossRefGoogle ScholarPubMed
Kauer, J, Pelchat, ML, Rozin, Pet al. (2015) Adult picky eating. Phenomenology, taste sensitivity, and psychological correlates. Appetite 90, 219228.CrossRefGoogle ScholarPubMed
Zickgraf, HF & Schepps, K (2016) Fruit and vegetable intake and dietary variety in adult picky eaters. Food Qual Prefer 54, 3950.CrossRefGoogle Scholar
Ferreira, RJ & Marques-Vidal, PM (2008) Prevalence and determinants of obesity in children in public schools of Sintra, Portugal. Obesity (Silver Spring) 16, 497500.CrossRefGoogle ScholarPubMed
Galloway, AT, Fiorito, L, Lee, Yet al. (2005) Parental pressure, dietary patterns, and weight status among girls who are ‘picky eaters’. J Am Diet Assoc 105, 541548.CrossRefGoogle Scholar
Antoniou, E, Roefs, A, Kremers, Set al. (2016) Picky eating and child weight status development: a longitudinal study. J Hum Nutr Diet 29, 298307.CrossRefGoogle ScholarPubMed
Mosli, RH, Lumeng, JC, Kaciroti, Net al. (2015) Higher weight status of only and last-born children: maternal feeding and child eating behaviors as underlying processes among 4–8 year olds. Appetite 92, 167172.CrossRefGoogle ScholarPubMed
Viljakainen, HT, Figueiredo, RA, Rounge, TBet al. (2019) Picky eating – a risk factor for underweight in Finnish preadolescents. Appetite 133, 107114.CrossRefGoogle ScholarPubMed
Finistrella, V, Manco, M, Ferrara, Aet al. (2012) Cross-sectional exploration of maternal reports of food neophobia and pickiness in preschooler–mother dyads. J Am Coll Nutr 31, 152159.CrossRefGoogle ScholarPubMed
Jiang, X, Yang, X, Zhang, Yet al. (2014) Development and preliminary validation of Chinese preschoolers’ eating behavior questionnaire. PLoS One 9, e88255.CrossRefGoogle ScholarPubMed
Zickgraf, HF & Ellis, JM (2018) Initial validation of the nine item avoidant/restrictive food intake disorder screen (NIAS): a measure of three restrictive eating patterns. Appetite 123, 3242.CrossRefGoogle ScholarPubMed
Eddy, KT, Harshman, SG, Becker, KRet al. (2019) Radcliffe ARFID Workgroup: toward operationalization of research diagnostic criteria and directions for the field. Int J Eat Disord 52, 361366.CrossRefGoogle ScholarPubMed
Zimmerman, J & Fisher, M (2017) Avoidant/restrictive food intake disorder (ARFID). Curr Probl Pediatr Adolesc Health Care 47, 95103.10.1016/j.cppeds.2017.02.005CrossRefGoogle Scholar
Thomas, JJ, Lawson, EA, Micali, Net al. (2017) Avoidant/restrictive food intake disorder: a three-dimensional model of neurobiology with implications for etiology and treatment. Curr Psychiatry Rep 19, 54.CrossRefGoogle ScholarPubMed
Taylor, CM, Wernimont, SM, Northstone, Ket al. (2015) Picky/fussy eating in children: review of definitions, assessment, prevalence and dietary intakes. Appetite 95, 349359.10.1016/j.appet.2015.07.026CrossRefGoogle ScholarPubMed
Evans, A, Seth, JG, Smith, Set al. (2011) Parental feeding practices and concerns related to child underweight, picky eating, and using food to calm differ according to ethnicity/race, acculturation, and income. Matern Child Health J 15, 899909.CrossRefGoogle ScholarPubMed
Faught, EL, McLaren, L, Kirkpatrick, SIet al. (2019) Socioeconomic disadvantage across the life course is associated with diet quality in young adulthood. Nutrients 11, 242.CrossRefGoogle ScholarPubMed
Darmon, N & Drewnowski, A (2008) Does social class predict diet quality? Am J Clin Nutr 87, 11071117.10.1093/ajcn/87.5.1107CrossRefGoogle ScholarPubMed
Wiig, K & Smith, C (2009) The art of grocery shopping on a food stamp budget: factors influencing the food choices of low-income women as they try to make ends meet. Public Health Nutr 12, 17261734.10.1017/S1368980008004102CrossRefGoogle ScholarPubMed
Dhurandhar, NV, Schoeller, D, Brown, AWet al. (2015) Energy balance measurement: when something is not better than nothing. Int J Obes (Lond) 39, 11091113.CrossRefGoogle ScholarPubMed
Subar, AF, Freedman, LS, Tooze, JAet al. (2015) Addressing current criticism regarding the value of self-report dietary data. J Nutr 145, 26392645.10.3945/jn.115.219634CrossRefGoogle ScholarPubMed
Labonté, M-È, Cyr, A, Baril-Gravel, Let al. (2012) Validity and reproducibility of a web-based, self-administered food frequency questionnaire. Eur J Clin Nutr 66, 166173.CrossRefGoogle ScholarPubMed
Fernandez, C, DeJesus, JM, Miller, ALet al. (2018) Selective eating behaviors in children: an observational validation of parental report measures. Appetite 127, 163170.CrossRefGoogle ScholarPubMed
Figure 0

Table 1 Demographic characteristics of the sample of young adults, overall and by endorsement of picky eating during childhood; Project EAT-III (Eating and Activity in Teens and Young Adults), Minneapolis/St. Paul, MN, USA, 2008–2009

Figure 1

Table 2 Associations between picky eating during childhood and young adult usual daily dietary intake; Project EAT-III (Eating and Activity in Teens and Young Adults), Minneapolis/St. Paul, MN, USA, 2008–2009

Figure 2

Table 3 Associations between picky eating during childhood and young adult weight status, weight-control behaviours and binge eating with loss of control; Project EAT-III (Eating and Activity in Teens and Young Adults), Minneapolis/St. Paul, MN, USA, 2008–2009