Assessing screening policies for childhood obesity

Lawrence M Wein1, Yan Yang, Jeremy D Goldhaber-Fiebert

  • 1Graduate School of Business, Stanford University, Stanford, CA, USA. lwein@stanford.edu

Insights

Optimizing childhood obesity screening by age and sex can reduce adult disease. Focusing on older adolescents, rather than younger children, minimizes adult disease prevalence and treatment referrals.

Area of Science:

  • Pediatrics
  • Public Health
  • Preventive Medicine

Background:

  • Childhood obesity is a growing public health concern.
  • Current screening recommendations from the United States Preventive Services Task Force (USPSTF) and an Expert Committee differ on starting age.
  • There is a need to evaluate these recommendations and explore optimal screening strategies.

Purpose of the Study:

  • To model Body Mass Index (BMI) distributions in children and adolescents.
  • To determine age- and sex-dependent screening thresholds that minimize adult disease prevalence.
  • To compare an optimized screening policy with existing USPSTF and Expert Committee recommendations.

Main Methods:

  • Utilized National Longitudinal Survey of Youth (NLSY) data to model BMI distribution through age 18.
  • Estimated treatment impact on BMI using a systematic review for USPSTF.
  • Modeled adult hypertension and diabetes prevalence at age 40 using Panel Study of Income Dynamics (PSID) data.
  • Developed an optimal biennial screening policy by deriving BMI thresholds to minimize adult disease.

Main Results:

  • The optimized policy reduced adult disease prevalence by 3% compared to USPSTF recommendations at the same referral rate.
  • The optimized policy achieved the same disease prevalence as USPSTF but with a 28% reduction in treatment referrals.
  • Compared to the Expert Committee recommendation, the optimized policy showed greater reductions in disease prevalence (6%) and referral rates (40%).
  • The optimal policy primarily targeted 16-year-olds for treatment, with minimal referrals for children under 14.

Conclusions:

  • Current childhood obesity screening recommendations may not be optimal for minimizing long-term adult disease.
  • An optimized, age- and sex-dependent screening strategy focusing on older adolescents can improve outcomes.
  • Implementing an optimized policy could lead to reduced adult disease prevalence and fewer unnecessary treatment referrals.

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