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Updated: May 8, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Analyzing Screening Policies for Childhood Obesity
Yan Yang1, Jeremy D Goldhaber-Fiebert, Lawrence M Wein
1Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA 94305, yanyang@stanford.edu.
This study optimized childhood obesity screening using dynamic programming, finding that focusing on older adolescents reduces disease prevalence more effectively than current guidelines. The optimal strategy lowers costs by 28% while maintaining disease prevention.
Area of Science:
- Public Health
- Epidemiology
- Health Economics
Background:
- Childhood obesity poses significant health and economic burdens.
- The United States Preventive Services Task Force recommends obesity screening from age six.
- Comprehensive interventions include diet, physical activity, and behavioral counseling.
Purpose of the Study:
- To determine optimal biennial obesity screening thresholds for children (ages 2-16).
- To evaluate screening policies from a societal perspective, considering population-wide body mass index distributions.
- To compare dynamic programming-derived thresholds against current recommendations.
Main Methods:
- Utilized longitudinal body mass index data for 3164 children and 747 adults.
- Formulated and solved a dynamic programming problem to find optimal biennial screening thresholds.
- Considered societal viewpoint, with system state as population-wide probability density function of body mass index.
Main Results:
- Dynamic programming thresholds reduced disease prevalence by 3% at equivalent cost compared to biennial recommendations.
- Achieved same disease prevalence with a 28% cost reduction due to a flat disease-screening tradeoff curve.
- Optimal policy screens older adolescents (age 16) more frequently, including some not classified as obese.
Conclusions:
- Focusing childhood obesity screening and treatment on older adolescents may minimize adult hypertension and diabetes.
- Current data limitations and narrow medical outcomes prevent definitive recommendations on childhood obesity screening policies.
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