Consequences of Picky Eating in College Students

"Improving Diet Quality of Children with Dyslipidemia Who also Exhibit Picky Eating Behaviors"

PURPOSE OF THE REVIEW

This review is intended to serve as guidance for care providers working with children who have dyslipidemia and exhibit picky eating behaviors.

RECENT FINDINGS

Picky eating behaviors in children can be very stressful for caregivers and children alike, even if they may not reach clinical significance. In the setting of lipid disorder treatment, picky eating can present an even greater challenge, since many of the foods considered most heart-healthy are not often considered "kid-friendly". Care providers should validate caregivers' concerns, screen for picky eating and be prepared to provide guidance to parents and a referral to a specialist, if needed. This review contains an itemized list of points to focus on with families and additional resources.

Relation between ARFID symptomatology and picky eating onset and duration

BACKGROUND

Picky eating (PE) is common in early childhood, peaking between ages 1 and 5 years. However, PE may persist beyond this normative period and pose threats to health and psychosocial functioning. Avoidant/restrictive food intake disorder (ARFID) involves restrictive eating driven by appetite, preference/selectivity, and/or fear of eating, leading to significant medical and/or psychosocial impairment. This retrospective study examined the relation between early childhood PE onset/duration and ARFID eating restrictions and symptoms.

METHOD

Parents of children ages 6-17 (N = 437) completed a survey about their child's eating behavior, including the Nine-item ARFID Screen (NIAS) and questions about PE onset and impacts. Children were then categorized into groups based on PE onset (before or after age 5) and duration: never picky, normative picky, persistent picky, and late-onset picky.

RESULTS

The groups differed (all p < .05) in mean NIAS subscales (picky eating, NIAS-PE; appetite, NIAS-A; fear, NIAS-F) and total scores (NIAS-T). Tukey post-hoc tests found that persistent PEs had significantly higher NIAS-PE, NIAS-A, and NIAS-T scores than never or normative PEs (all p < .05). Chi-Square tests found that persistent PEs were significantly more likely than all other groups to endorse ARFID criteria.

CONCLUSION

Findings from this study suggest that PE that persists beyond or is identified after the normative period is associated with elevated ARFID symptoms compared to normative and never PEs. Persistent PE increases risk of impairment from PE and other ARFID eating restrictions. Given the health and psychosocial risks associated with ARFID, early identification and intervention for this group is warranted.

Examining measurement invariance of appetitive trait and ARFID symptom measures by food security status

OBJECTIVE

Measures assessing appetitive traits (i.e., individual differences in the desire to consume food) and disordered eating have generally been developed in predominantly food-secure populations. The current study aims to test measurement invariance (MI) for a measure of appetitive traits and a measure of Avoidant Restrictive Food Intake Disorder (ARFID) symptomology across food security status.

METHOD

Data from a sample of mothers (n = 634) and two undergraduate samples (n = 945 and n = 442) were used to assess MI for the Adult Eating Behavior Questionnaire (AEBQ), which measures appetitive traits, and the Nine Item ARFID Screen (NIAS), which measures ARFID symptomology. Current food security was assessed using the 18-item USDA Household Food Security Survey Module, which was dichotomized into two groups: 1) the 'food insecure' group included marginal, low, and very low food security and 2) the 'food secure' group included high food security. Overall and multi-group confirmatory factor analyses were conducted separately for each measure in each sample.

RESULTS

Results demonstrated scalar (i.e., strong) MI for both measures across samples, indicating that these measures performed equivalently across food-secure and food-insecure individuals.

CONCLUSION

Findings suggest that differences in appetitive traits by food security status observed in prior research are not artifacts of measurement differences, but instead reflect true differences. Additionally, past mixed results regarding the relationship between food insecurity (FI) and ARFID symptomology are not likely driven by measurement error when using the NIAS.

Heritability of adult picky eating in the Netherlands

Adult picky eating (APE), the rejection of familiar and unfamiliar foods leading to a diet with limited variety, is an understudied phenomenon which can have both physical and psychological negative consequences. The aetiology of individual differences in APE is understudied, although there is reason to believe that it is partly heritable. Therefore, we aimed to estimate the heritability of APE with data from the Netherlands Twin Register (n = 8016) with classical genetic structural equation modelling. In order to use these data, we firstly investigated whether a Food Preference Questionnaire (FPQ) could measure APE with a pre-registered prestudy. Adult participants (n = 414) filled in online questionnaires, including a FPQ and measures related to APE. Spearman's rho correlation quantified the relationship between different elements of the Dutch FPQ and different scores on measures of APE. Results of the prestudy showed that the mean liking score on the FPQ could be used to measure APE (ρ > .50). This measure was then used in the main study to estimate the heritability of APE. Results showed that broad-sense heritability for APE is 49 % (additive genetic effects 14 % (95 % CI [00, 38]) + dominance genetic effects 35 % (95 % CI [11, 52]), while the remaining variance is explained by unique environmental factors. Future studies may focus on uncovering the specific genetic and unique environmental factors that play a role in APE.

Sensory profile of picky eaters among college female students

Picky eaters are at risk of an unbalanced diet, which is critical for women of reproductive age. A sensory profile, which is a potential factor in picky eating, has not been well researched. This study assessed the differences in sensory profile and dietary intake according to the picky eating status among female Japanese undergraduate college students. Cross-sectional data were obtained from the Ochanomizu Health Study conducted in 2018. The questionnaire included items regarding demographic characteristics, picky eating status, sensory profile, and dietary intake. Sensory profile was assessed using the Adult/Adolescent Sensory Profile questionnaire, and dietary intakes were calculated using a brief-type self-administered diet history questionnaire. Among the 111 participants, 23% were picky eaters and 77% were non-picky eaters. The age, body mass index and household status did not differ between the picky eaters and non-picky eaters. Being a picky eater was associated with higher scores on sensory sensitivity and sensation avoiding, and lower thresholds for taste and smell, touch, and auditory stimuli than being a non-picky eater. Of the picky eaters, 58% and 100% were at a high risk for folate and iron deficiencies, respectively, compared to 35% and 81% of non-picky eaters. Nutrition education for picky eaters in reproductive age to increase vegetable dishes comfortably in their diet is suggested to prevent anemia during their future pregnancy.

How multiple threats to safety affects quality of life for picky eating adults: A new explanatory model

Picky eating describes a pattern of eating characterised by a narrow dietary range with rejection of both novel and familiar foods. Research has suggested that picky eating in adulthood is associated with several negative psychosocial outcomes including impaired quality of life. This research aimed to build and test a model explaining the relationship between picky eating and quality of life. 230 participants were recruited via online support forums for picky eating, and an undergraduate research participation scheme. Participants completed self-report measures of picky eating, sensory sensitivity, disgust, anxiety, fear of negative evaluation and eating related quality of life. Regression analysis indicated that picky eating, disgust sensitivity, anxiety, and fear of negative evaluation were all associated with impaired eating-related quality of life. A theoretical model was then devised which aimed to explain the interactions between these factors, and Path Analysis indicated that this model was a good fit for the data. This Safety in Picky Eating and Quality of life (SPEQ) model suggests that threat perception and the drive for safety underlies the relationship between picky eating and impaired quality of life. The SPEQ model provides a preliminary basis for understanding how picky eating impacts quality of life in adulthood.