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The Geographic Distribution of Obesity in the US and the Potential Regional Differences in Misreporting of Obesity

OBJECTIVE: State-level estimates of obesity based on self-reported height and weight suggest a geographic pattern of greater obesity in the Southeastern US; however, the reliability of the ranking among these estimates assumes errors in self-reporting of height and weight are unrelated to geographic...

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Detalles Bibliográficos
Autores principales: Le, Anh, Judd, Suzanne E., Allison, David B., Oza-Frank, Reena, Affuso, Olivia, Safford, Monika M., Howard, Virginia J., Howard, George
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3866220/
https://www.ncbi.nlm.nih.gov/pubmed/23512879
http://dx.doi.org/10.1002/oby.20451
Descripción
Sumario:OBJECTIVE: State-level estimates of obesity based on self-reported height and weight suggest a geographic pattern of greater obesity in the Southeastern US; however, the reliability of the ranking among these estimates assumes errors in self-reporting of height and weight are unrelated to geographic region. DESIGN AND METHODS: We estimated regional and state-level prevalence of obesity (body mass index ≥ 30 kg/m(2)) for non-Hispanic black and white participants aged 45 and over were made from multiple sources: 1) self-reported from the Behavioral Risk Factor Surveillance System (BRFSS 2003-2006) (n = 677,425), 2) self-reported and direct measures from the National Health and Nutrition Examination Study (NHANES 2003-2008) (n = 6,615 and 6,138 respectively), and 3) direct measures from the REasons for Geographic and Racial Differences in Stroke (REGARDS 2003-2007) study (n = 30,239). RESULTS: Data from BRFSS suggest that the highest prevalence of obesity is in the East South Central Census division; however, direct measures suggest higher prevalence in the West North Central and East North Central Census divisions. The regions relative ranking of obesity prevalence differs substantially between self-reported and directly measured height and weight. CONCLUSIONS: Geographic patterns in the prevalence of obesity based on self-reported height and weight may be misleading, and have implications for current policy proposals.