This study aimed to develop and externally validate prediction models for childhood overweight and obesity at age 10–11 using routinely collected data. A linked cohort of maternal and child health records was used for model development, and the Born in Bradford cohort for external validation. A model using only BMI at age 4–5 and child sex achieved an AUC of 0.82 (development) and 0.83 (validation). Adding maternal predictors (BMI, smoking, age, education, ethnicity, parity, employment status) improved AUC to 0.84 (development) and 0.85 (validation). The models were well-calibrated. Routinely collected data can effectively target early preventive interventions for childhood obesity.
Publisher
International Journal of Obesity
Published On
Aug 04, 2023
Authors
Nida Ziauddeen, Paul J. Roderick, Gillian Santorelli, Nisreen A. Alwan
Tags
childhood obesity
prediction models
BMI
maternal health
preventive interventions
public health
cohort study
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