Use of Small-Area Estimates to Describe County-Level Geographic Variation in Prevalence of Extreme Obesity Among US Adults | Zendy

Carrie W. Mills | Zendy; Glen D. Johnson | Zendy; Terry T.K. Huang | Zendy; Deborah Balk | Zendy; Katarzyna Wyka | Zendy

Open Access

Use of Small-Area Estimates to Describe County-Level Geographic Variation in Prevalence of Extreme Obesity Among US Adults

Author(s) -

Carrie W. Mills,

Glen D. Johnson,

Terry T.K. Huang,

Deborah Balk,

Katarzyna Wyka

Publication year - 2020

Publication title -

jama network open

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.278

H-Index - 39

ISSN - 2574-3805

DOI - 10.1001/jamanetworkopen.2020.4289

Subject(s) - obesity , logistic regression , demography , geography , body mass index , census , small area estimation , public health , multilevel model , medicine , environmental health , statistics , population , mathematics , sociology , nursing , pathology , estimator

Key Points Question What is the county-level prevalence of extreme obesity in the United States? Findings In this cross-sectional study of adults in the United States, county-level prevalence of self-reported extreme obesity ranged from 1.3% to 15.7%. Several prominent clusters of high prevalence were identified, including in the Mississippi Delta and the Southeast. Meaning Prevalence of extreme obesity appears to vary considerably by county; heterogeneity is obscured by available state-level prevalence estimates.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research