Literature DB >> 23956465

Analyzing Screening Policies for Childhood Obesity.

Yan Yang1, Jeremy D Goldhaber-Fiebert, Lawrence M Wein.   

Abstract

Due to the health and economic costs of childhood obesity, coupled with studies suggesting the benefits of comprehensive (dietary, physical activity and behavioral counseling) intervention, the United States Preventive Services Task Force recently recommended childhood screening and intervention for obesity beginning at age six. Using a longitudinal data set consisting of the body mass index of 3164 children up to age 18 and another longitudinal data set containing the body mass index at ages 18 and 40 and the presence or absence of disease (hypertension and diabetes) at age 40 for 747 people, we formulate and numerically solve - separately for boys and girls - a dynamic programming problem for the optimal biennial (i.e., at ages 2, 4, …, 16) obesity screening thresholds. Unlike most screening problem formulations, we take a societal viewpoint, where the state of the system at each age is the population-wide probability density function of the body mass index. Compared to the biennial version of the task force's recommendation, the screening thresholds derived from the dynamic program achieve a relative reduction in disease prevalence of 3% at the same screening (and treatment) cost, or - due to the flatness of the disease vs. screening tradeoff curve - achieves the same disease prevalence at a 28% relative reduction in cost. Compared to the task force's policy, which uses the 95th percentile of body mass index (from cross-sectional growth charts tabulated by the Centers for Disease Control and Prevention) as the screening threshold for each age, the dynamic programming policy treats mostly 16 year olds (including many who are not obese) and very few males under 14 years old. While our results suggest that adult hypertension and diabetes are minimized by focusing childhood obesity screening and treatment on older adolescents, the shortcomings in the available data and the narrowness of the medical outcomes considered prevent us from making a recommendation about childhood obesity screening policies.

Entities:  

Year:  2013        PMID: 23956465      PMCID: PMC3744381          DOI: 10.1287/mnsc.1120.1587

Source DB:  PubMed          Journal:  Manage Sci        ISSN: 0025-1909            Impact factor:   4.883


  40 in total

1.  Tackling of unhealthy diets, physical inactivity, and obesity: health effects and cost-effectiveness.

Authors:  Michele Cecchini; Franco Sassi; Jeremy A Lauer; Yong Y Lee; Veronica Guajardo-Barron; Daniel Chisholm
Journal:  Lancet       Date:  2010-11-10       Impact factor: 79.321

2.  Screening and interventions for overweight in children and adolescents: recommendation statement.

Authors: 
Journal:  Pediatrics       Date:  2005-07       Impact factor: 7.124

Review 3.  Type 2 diabetes among North American children and adolescents: an epidemiologic review and a public health perspective.

Authors:  A Fagot-Campagna; D J Pettitt; M M Engelgau; N R Burrows; L S Geiss; R Valdez; G L Beckles; J Saaddine; E W Gregg; D F Williamson; K M Narayan
Journal:  J Pediatr       Date:  2000-05       Impact factor: 4.406

Review 4.  Assessing screening policies for childhood obesity.

Authors:  Lawrence M Wein; Yan Yang; Jeremy D Goldhaber-Fiebert
Journal:  Obesity (Silver Spring)       Date:  2012-01-12       Impact factor: 5.002

5.  Early adiposity rebound in childhood and risk of Type 2 diabetes in adult life.

Authors:  J G Eriksson; T Forsén; J Tuomilehto; C Osmond; D J P Barker
Journal:  Diabetologia       Date:  2003-01-08       Impact factor: 10.122

6.  Long-term follow-up of cardiovascular disease risk factors in children after an obesity intervention.

Authors:  Thomas Reinehr; Gideon de Sousa; André Michael Toschke; Werner Andler
Journal:  Am J Clin Nutr       Date:  2006-09       Impact factor: 7.045

7.  Long-term morbidity and mortality of overweight adolescents. A follow-up of the Harvard Growth Study of 1922 to 1935.

Authors:  A Must; P F Jacques; G E Dallal; C J Bajema; W H Dietz
Journal:  N Engl J Med       Date:  1992-11-05       Impact factor: 91.245

8.  Association between multiple cardiovascular risk factors and atherosclerosis in children and young adults. The Bogalusa Heart Study.

Authors:  G S Berenson; S R Srinivasan; W Bao; W P Newman; R E Tracy; W A Wattigney
Journal:  N Engl J Med       Date:  1998-06-04       Impact factor: 91.245

Review 9.  Tracking of childhood overweight into adulthood: a systematic review of the literature.

Authors:  A S Singh; C Mulder; J W R Twisk; W van Mechelen; M J M Chinapaw
Journal:  Obes Rev       Date:  2008-03-05       Impact factor: 9.213

10.  Obesity as an independent risk factor for cardiovascular disease: a 26-year follow-up of participants in the Framingham Heart Study.

Authors:  H B Hubert; M Feinleib; P M McNamara; W P Castelli
Journal:  Circulation       Date:  1983-05       Impact factor: 29.690

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  1 in total

1.  Dynamic Monitoring and Control of Irreversible Chronic Diseases with Application to Glaucoma.

Authors:  Pooyan Kazemian; Jonathan E Helm; Mariel S Lavieri; Joshua D Stein; Mark P Van Oyen
Journal:  Prod Oper Manag       Date:  2018-11-16       Impact factor: 4.965

  1 in total

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