Literature DB >> 14742838

State-level estimates of annual medical expenditures attributable to obesity.

Eric A Finkelstein1, Ian C Fiebelkorn, Guijing Wang.   

Abstract

OBJECTIVE: To provide state-level estimates of total, Medicare, and Medicaid obesity-attributable medical expenditures. RESEARCH METHODS AND PROCEDURES: We developed an econometric model that predicts medical expenditures. We used this model and state-representative data to quantify obesity-attributable medical expenditures.
RESULTS: Annual U.S. obesity-attributable medical expenditures are estimated at $75 billion in 2003 dollars, and approximately one-half of these expenditures are financed by Medicare and Medicaid. State-level estimates range from $87 million (Wyoming) to $7.7 billion (California). Obesity-attributable Medicare estimates range from $15 million (Wyoming) to $1.7 billion (California), and Medicaid estimates range from $23 million (Wyoming) to $3.5 billion (New York). DISCUSSION: These estimates of obesity-attributable medical expenditures present the best available information concerning the economic impact of obesity at the state level. Policy makers should consider these estimates, along with other factors, in determining how best to allocate scarce public health resources. However, because they are associated with large SE, these estimates should not be used to make comparisons across states or among payers within states.

Entities:  

Mesh:

Year:  2004        PMID: 14742838     DOI: 10.1038/oby.2004.4

Source DB:  PubMed          Journal:  Obes Res        ISSN: 1071-7323


  90 in total

1.  Results from a clinical multidisciplinary weight management program.

Authors:  Susan J Woolford; Bethany J Sallinen; Sarah J Clark; Gary L Freed
Journal:  Clin Pediatr (Phila)       Date:  2010-10-06       Impact factor: 1.168

Review 2.  Obesity and chronic daily headache.

Authors:  Marcelo E Bigal; Alan M Rapoport
Journal:  Curr Pain Headache Rep       Date:  2012-02

3.  Estimates of state-level health-care expenditures associated with disability.

Authors:  Wayne L Anderson; Brian S Armour; Eric A Finkelstein; Joshua M Wiener
Journal:  Public Health Rep       Date:  2010 Jan-Feb       Impact factor: 2.792

Review 4.  Coverage of obesity treatment: a state-by-state analysis of Medicaid and state insurance laws.

Authors:  Jennifer S Lee; Jennifer L O Sheer; Nancy Lopez; Sara Rosenbaum
Journal:  Public Health Rep       Date:  2010 Jul-Aug       Impact factor: 2.792

5.  Childhood Obesity Prevention and Treatment Research (COPTR): interventions addressing multiple influences in childhood and adolescent obesity.

Authors:  Charlotte A Pratt; Josephine Boyington; Layla Esposito; Victoria L Pemberton; Denise Bonds; Melinda Kelley; Song Yang; David Murray; June Stevens
Journal:  Contemp Clin Trials       Date:  2013-08-31       Impact factor: 2.226

6.  Chronic pain, overweight, and obesity: findings from a community-based twin registry.

Authors:  Lisa Johnson Wright; Ellen Schur; Carolyn Noonan; Sandra Ahumada; Dedra Buchwald; Niloofar Afari
Journal:  J Pain       Date:  2010-03-24       Impact factor: 5.820

7.  Leveling the learning curve for laparoscopic bariatric surgery.

Authors:  M Lublin; S Lyass; B Lahmann; S A Cunneen; T M Khalili; J D Elashoff; E H Phillips
Journal:  Surg Endosc       Date:  2005-05-03       Impact factor: 4.584

8.  Food Service Guideline Policies on Local Government-Controlled Properties.

Authors:  Hatidza Zaganjor; Katherine Bishop Kendrick; Stephen Onufrak; Julie Ralston Aoki; Laurie P Whitsel; Joel Kimmons
Journal:  Am J Health Promot       Date:  2019-08-01

9.  Weight change in pediatric TennCare recipients referred to a commercial weight loss program.

Authors:  Nia S Mitchell; Christina A Suh; Nanette Stroebele; James O Hill; Adam G Tsai
Journal:  Acad Pediatr       Date:  2013 Mar-Apr       Impact factor: 3.107

Review 10.  Direct medical cost of overweight and obesity in the USA: a quantitative systematic review.

Authors:  A G Tsai; D F Williamson; H A Glick
Journal:  Obes Rev       Date:  2011-01       Impact factor: 9.213

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