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Updated: Jun 9, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
How eating behaviours associate to body composition in European adolescents: a cross-sectional analysis from the
Andrea Jimeno-Martínez1,2,3, Miguel Seral-Cortés4,5,6,7, Ivie Maneschy1,2,3,8
1GENUD (Growth, Exercise, Nutrition and Development) Research Group, Facultad de Ciencias de la Salud, Universidad de Zaragoza, Zaragoza, Spain.
Background:
Adolescence is a key developmental stage marked by physiological and behavioural changes. Eating behaviour, modifiable and sex-dependent, may be altered and linked to future health issues. This cross-sectional study aims to assess whether eating behaviours and body composition are associated in an adolescent sample.
Methods:
Participants aged 12.5-17.5 years were recruited from 10 European cities, with valid data on age, sex, socio-demographic status, body composition and physical activity and who had also completed the specific eating behaviour questionnaire "Eating Behaviour and Weight Problems Inventory for Children". Different linear regression models were adjusted for relevant confounders, and ANCOVA models were performed.
Results:
Eating Behaviours related to weight concerns, dietary restraint, emotional eating, fear of weight gain, healthy nutrition and figure dissatisfaction were strongly positively associated with higher Body Mass Index (BMI), Fat Mass Index (FMI) and Waist Circumference (WC), especially in males (betas resulting from the association between these behavioural subscales and body composition in males, ranged from 0.174 to 0.974 for BMI, 0.172 to 0.930 for FMI, and 0.128 to 0.889 for WC). The strongest association was detected in the weight concerns subscale for both males and females.
Conclusion:
Eating behaviours across all domains are significantly linked to body composition, with variations depending on the specific behavioural domain and the adolescent's sex. These findings are critical for identifying specific behavioural patterns that contribute to obesity and related health issues, providing new insights for more targeted prevention strategies during this crucial stage of development.
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