Identifying eating behaviour phenotype cut-off scores for childhood obesity: an individual participant data meta-analysis using the Child Eating Behaviour Questionnaire (CEBQ)

Abstract 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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Publication Details

Journal
International Journal of Behavioral Nutrition and Physical Activity
Published
2026-07-25
DOI
https://doi.org/10.1186/s12966-026-01951-8
Primary Topic
Eating Disorders and Behaviors
Type
article
Field-Weighted Citation Impact
0.00

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article

Identifying eating behaviour phenotype cut-off scores for childhood obesity: an individual participant data meta-analysis using the Child Eating Behaviour Questionnaire (CEBQ)

Amy L. Ahern, Aino‐Maija Eloranta, Arend W. van Deutekom, Pauline W. Jansen et al.
International Journal of Behavioral Nutrition and Physical Activity
Eating Disorders and Behaviors
article

Identifying eating behaviour phenotype cut-off scores for childhood obesity: an individual participant data meta-analysis using the Child Eating Behaviour Questionnaire (CEBQ)

Amy L. Ahern, Aino‐Maija Eloranta, Arend W. van Deutekom, Pauline W. Jansen, Alison Fildes, Amy C. Gross, Andrea Smith, Silje Steinsbekk, Patrícia Pelufo Silveira, Charlotte A. Hardman, Elaine K. McCarthy, Jacqueline Hayes, Laura Kudlek, Lisa Pennells, Alice R. Kininmonth, John C. Spence, Matthew B. Cross, Jennifer O. Fisher, Víctor Viana, Jennifer A. Emond, Susan Carnell, Clare Llewellyn, Cara F. Ruggiero, Julie C. Lumeng, Emma Haycraft
article en

Abstract

Abstract 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.

International Journal of Behavioral Nutrition and Physical Activity
Dartmouth College (US), University of Minnesota (US), University of Leeds (GB), Loughborough University (GB), Johns Hopkins University (US), University of Liverpool (GB), University of Alberta (CA), Universidade Federal de Pelotas (BR), University of Eastern Finland (FI), Universidade do Porto (PT), Norwegian University of Science and Technology (NO), Heidelberg University (DE), University of Cambridge (GB), University College Cork (IE), Brown University (US), University of Michigan (US), Johns Hopkins Medicine (US), Miriam Hospital (US), University Hospital Heidelberg (DE), Wellcome/MRC Institute of Metabolic Science (GB), Children's Nutrition Research Center at Baylor College of Medicine (US), Erasmus MC - Sophia Children’s Hospital (NL), University Medical Centre Mannheim (DE), MRC Epidemiology Unit (GB), University College London (GB), McGill University (CA), Temple University (US), Erasmus University Rotterdam (NL)
MQ: Transforming Mental Health, National Institute for Health and Care Research, British Heart Foundation, Rosetrees Trust, Medical Research Council, Economic and Social Research Council
Openalex Percentile: Top 100%
Eating Disorders and Behaviors
DOIOpen Access PDFOpenAlex
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