Picky eating behavior is prevalent among toddlers and may negatively impact their growth and development. This article summarizes the correlates of picky eating and food neophobia in young children, which were identified using a socio-ecological framework. A literature search was conducted in 4 electronic databases. Inclusion criteria were English-language peer-reviewed publications that investigated correlate(s) of picky eating or food neophobia in children aged ≤30 months. Correlates were categorized into 4 levels: cell, child, clan (family), and community/country. Thirty-two studies, which examined 89 correlates, were identified from the keyword searches of the databases and manual searches of the reference lists of included articles. The most examined correlates were characteristics related to the child (sex, weight, and dietary intake) and parent (feeding beliefs and practices). A meta-analysis estimated the prevalence of picky eating to be 22%. Each additional month of a child's age was associated with a 0.06 U increase in the Children's Eating Behavior Questionnaire food fussiness score. This review highlights the importance of investigating child-parent dyads and bidirectional feeding interactions and draws attention to the lack of picky eating research at the level of the cell and the community/country.

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Background/Aims: Picky eating is prevalent among preschoolers and is associated with risk of both underweight and overweight. Although differences in taste perception may be due to genetic variation, it is unclear whether these variations are related to picky eating behavior. The aim of this study was to investigate the association of 6 single nucleotide polymorphisms (SNPs) in 5 candidate genes related to chemosensory perception with picky eating behavior and adiposity in a cohort of preschool-aged children. Methods: Parents of 2- to 5-year-old non-Hispanic white preschoolers (n = 153) responded to survey questions on demographics, and information regarding their child's breastfeeding history and picky eating behavior. Height and weight were measured to calculate body mass index (BMI) z-scores using standard growth charts, and saliva was collected for genotyping. Generalized linear models were used to examine associations between picky eating behavior and BMI z-scores with genetic variation. Results: When controlling for child age, sex, breastfed status, and parent education level, SNPs in TAS2R38 (rs713598) and CA6 (rs2274327) were associated with picky eating behavior in children. There was no association between SNPs and BMI z-scores. Conclusion: Genes related to chemosensory perception may play a role in children's picky eating behavior.

The Nutrition Evidence Systematic Review (NESR) team conducts nutrition- and public health-related systematic reviews and is within the U.S. Department of Agriculture's (USDA) Center for Nutrition Policy and Promotion (CNPP). NESR has collaborated with scientific experts to conduct systematic reviews on nutrition and public health topics for more than a decade and is uniquely positioned to share recommendations with the research community to strengthen research quality and impact, especially the evidence base that supports public health nutrition guidance, including future editions of the Dietary Guidelines for Americans. Leveraging the expertise of NESR and its systematic review process resulted in the following recommendations for the research community: a) use the strongest study design feasible with sufficient sample size(s); b) enroll study participants who reflect the diversity of the population of interest and report participant characteristics; c) use valid and reliable dietary assessment methods; d) describe the interventions or exposures of interest and use standard definitions to promote consistency; e) use valid and reliable health outcome measures; f) account for variables that may impact the relationship between nutrition-related interventions or exposures and health outcomes; g) carry out studies for a sufficient duration and include repeated measures, as appropriate; and h) report all relevant information to inform accurate interpretation and evaluation of study results. Implementing these recommendations can strengthen nutrition and public health evidence and increase its utility in future public health nutrition systematic reviews. However, implementation will require additional support from the entire research community, including scientific journals and funding agencies.