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Routine Life-Course Health Records in Infancy Predict Being Overweight in Childhood and Adolescence: The TMM BirThree
Genki Shinoda1,2, Mami Ishikuro1,2, Taeka Matsubara3
1Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba, Sendai 980-8573, Japan.
Insights
Early identification of childhood overweight risk is possible using health records from 18-23 months. This model predicts overweight status through adolescence, aiding early intervention strategies.
Area of Science:
- Pediatrics
- Public Health
- Biostatistics
Background:
- Childhood overweight predicts adult obesity and related health issues.
- Early identification of at-risk children is crucial for intervention.
- Predicting overweight status requires analyzing longitudinal health data.
Purpose of the Study:
- To develop a predictive model for childhood and adolescent overweight.
- To utilize routine health records from 18-23 months of age for prediction.
- To assess the model's performance across different age groups.
Main Methods:
- Analysis of 1581 participants from the Tohoku Medical Megabank Cohort Study.
- Multivariable logistic regression models predicting overweight status at various ages.
- Evaluation using Area Under the Curve (AUC), calibration, Brier scores, and cross-validation.
Main Results:
- Overweight status at 18-23 months strongly predicted later overweight.
- Model discrimination was moderate to high in childhood (AUC 0.873-0.772) and modest in adolescence (AUC 0.720-0.692).
- Cross-validation confirmed stable predictive performance and acceptable accuracy across all ages.
Conclusions:
- Routine early life-course health records can moderately predict overweight risk.
- The developed model shows practical potential for early preventive interventions.
- Early identification facilitates timely interventions to mitigate long-term health consequences.
Abstract:
Background/Objectives: Being overweight in childhood is a strong predictor of later obesity and related health disorders, underscoring the importance of the early identification of at-risk children. The aim of this study was to develop a prediction model for being overweight across childhood and adolescence using routine life-course health records available up to 18-23 months of age. Methods: We analyzed 1581 participants from the Tohoku Medical Megabank Birth and Three-Generation Cohort Study and constructed multivariable logistic regression models to predict being overweight at 36-47 months, 6 years, 11 years, and 14 years. Predictors included being overweight at 18-23 months, maternal characteristics, birth weight, and body mass index changes from birth to 18-23 months. Model performance was evaluated using the area under the curve (AUC), calibration, Brier scores, risk by score range, and stratified 10-fold cross-validation to assess the stability and robustness of predictive performance. Results: Being overweight at 18-23 months consistently showed strong associations with later overweight status. Model discrimination was moderate to high for early and middle childhood (AUC 0.873 at 36-47 months; 0.772 at 6 years) but modest for adolescence (AUC 0.720 and 0.692 at 11 and 14 years). Cross-validation demonstrated stable predictive performance across all age groups. Calibration and overall predictive accuracies were acceptable across all age groups. Conclusions: These results indicate that routine early life-course health records moderately predict the risk of being overweight, supporting their practical potential for early preventive interventions.
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