Medicine and Health

Prediction of childhood overweight and obesity at age 10–11: findings from the Studying Lifecourse Obesity Predictors and the Born in Bradford cohorts

N. Ziauddeen, P. J. Roderick, et al.

This study by Nida Ziauddeen, Paul J. Roderick, Gillian Santorelli, and Nisreen A. Alwan unveils powerful prediction models for childhood overweight and obesity at ages 10-11. Utilizing data from maternal and child health records, the research shows the effectiveness of routinely collected data in targeting early preventive interventions against childhood obesity.

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Abstract

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

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