Objective:To test the hypothesis that quantitative variation in eating behaviour traits shows a graded association with weight in children.Design:Cross-sectional design in a community setting.Subjects:Data were from 406 families participating in the Physical Exercise and Appetite in CHildren Study (PEACHES) or the Twins Early Development Study (TEDS). Children were aged 7 to 9 years (PEACHES) and 9 to 12 years old (TEDS).Measurements:Weights and heights were measured by researchers. BMI SD-scores were used to categorise participants into healthy-weight, overweight and obese groups, with an additional division of the healthy-weight group into higher- and lower-healthy-weight at the 50th centile. Eating behaviour traits were assessed with the Child Eating Behaviour Questionnaire (CEBQ), completed by the parent on behalf of their child. Linear trend analyses compared CEBQ sub-scale scores across the five weight groups.Results:Satiety Responsiveness/Slowness in Eating and Food Fussiness showed a graded negative association with weight, while Food Responsiveness, Enjoyment of Food, Emotional Overeating and Desire to Drink were positively associated. All effects were maintained after controlling for age, sex, ethnicity, parental education and sample. There was no systematic association with weight for Emotional Undereating.Conclusion:These results support the idea that approach-related and avoidance-related appetitive traits are systematically (and oppositely) related to adiposity, and not exclusively associated with obesity. Early assessment of these traits could be used as indicators of susceptibility to weight gain.
EAH is a behavioural phenotype that is not specific to overweight children but instead shows a graded association with adiposity across the weight continuum, particularly in boys. In this study, the effect was less pronounced in girls, which may reflect social desirability pressures constraining food intake among heavier girls.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.