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Updated: Oct 25, 2026

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
Published on: May 10, 2022
Identifying eating behaviour phenotype cut-off scores for childhood obesity: an individual participant data
Laura Kudlek1,2, Andrea D Smith3, Cara F Ruggiero3
1Institute of Metabolic Science Epidemiology, University of Cambridge, Cambridge, UK. laura.kudlek@ims.cam.ac.uk.
Background:
Weight management interventions targeting appetitive traits show promise in treating childhood obesity, yet a tool to identify appetitive phenotypes for personalised treatment is missing. The Child Eating Behaviour Questionnaire (CEBQ) is a widely used measure of eight parent-reported appetitive traits associated with childhood obesity. We aimed to explore the utility of the CEBQ for phenotyping childhood obesity and derive cut-off scores to support clinical decision-making.
Methods:
This individual participant data meta-analysis combined cross-sectional data from 17 international studies (N = 15,273) on CEBQ scores and Body Mass Index Standard Deviation Scores from children (2-18 years). The potential of CEBQ subscales (Food Responsiveness, Enjoyment of Food, Emotional Over-eating, Desire to Drink, Satiety Responsiveness, Slowness in Eating, Emotional Under-eating, Food Fussiness) to discriminate weight status was explored in random-effect meta-analyses of Area Under the Curve (AUC) metrics. We explored heterogeneity across studies and age- and sex- specific subgroups. Cut-off scores were derived within subgroups using (a) the Youden's Index and (b) the point maximising specificity after a minimum sensitivity of 60%. We meta-analysed study-specific performance with the selected cut-offs to describe heterogeneity across studies.
Results:
AUCs for CEBQ subscales ranged from 0.60 to 0.71. The magnitude and shape of associations between CEBQ scores and obesity varied by age and sex. Cut-off performance was generally better in middle- than early childhood. The best performing cut-off score of 2.6 was observed for females aged 7-12 years for Food Responsiveness (Sensitivity: 0.81 [95%CI 0.77, 0.85]; Specificity: 0.85 [95%CI 0.82, 0.88]). High heterogeneity in cut-off performance across studies and wide prediction intervals suggest the need to further investigate external validity.
Conclusions:
We provide the first empirically derived CEBQ subscale cut-offs to phenotype children with obesity based on weight-related eating behaviours. Cut-offs could support personalised treatment in clinical and research contexts.
Funding:
MC_UU_00006/6 and MC_UU_00006/5.
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