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Residence in a Distressed County in Appalachia as a Risk Factor for Diabetes, Behavioral Risk Factor Surveillance System, 2006-2007

INTRODUCTION: We compared the risk of diabetes for residents of Appalachian counties to that of residents of non-Appalachian counties after controlling for selected risk factors in states containing at least 1 Appalachian county. METHODS: We combined Behavioral Risk Factor Surveillance System data f...

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Autores principales: Barker, Lawrence, Crespo, Richard, Shrewsberry, Molly, Gerzoff, Robert B., Cornelius-Averhart, Darrlyn, Denham, Sharon
Formato: Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2938398/
https://www.ncbi.nlm.nih.gov/pubmed/20712931
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author Barker, Lawrence
Crespo, Richard
Shrewsberry, Molly
Gerzoff, Robert B.
Cornelius-Averhart, Darrlyn
Denham, Sharon
author_facet Barker, Lawrence
Crespo, Richard
Shrewsberry, Molly
Gerzoff, Robert B.
Cornelius-Averhart, Darrlyn
Denham, Sharon
author_sort Barker, Lawrence
collection PubMed
description INTRODUCTION: We compared the risk of diabetes for residents of Appalachian counties to that of residents of non-Appalachian counties after controlling for selected risk factors in states containing at least 1 Appalachian county. METHODS: We combined Behavioral Risk Factor Surveillance System data from 2006 and 2007 and conducted a logistic regression analysis, with self-reported diabetes as the dependent variable. We considered county of residence (5 classifications for Appalachian counties, based on economic development, and 1 for non-Appalachian counties), age, sex, race/ethnicity, education, household income, smoking status, physical activity level, and obesity to be independent variables. The classification "distressed" refers to counties in the worst 10%, compared with the nation as a whole, in terms of 3-year unemployment rate, per capita income, and poverty. RESULTS: Controlling for covariates, residents in distressed Appalachian counties had 33% higher odds (95% confidence interval, 1.10-1.60) of reporting diabetes than residents of non-Appalachian counties. We found no significant differences between other classifications of Appalachian counties and non-Appalachian counties. CONCLUSIONS: Residents of distressed Appalachian counties are at higher risk of diabetes than are residents of other counties. States with distressed Appalachian counties should implement culturally sensitive programs to prevent diabetes.
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spelling pubmed-29383982010-09-30 Residence in a Distressed County in Appalachia as a Risk Factor for Diabetes, Behavioral Risk Factor Surveillance System, 2006-2007 Barker, Lawrence Crespo, Richard Shrewsberry, Molly Gerzoff, Robert B. Cornelius-Averhart, Darrlyn Denham, Sharon Prev Chronic Dis Original Research INTRODUCTION: We compared the risk of diabetes for residents of Appalachian counties to that of residents of non-Appalachian counties after controlling for selected risk factors in states containing at least 1 Appalachian county. METHODS: We combined Behavioral Risk Factor Surveillance System data from 2006 and 2007 and conducted a logistic regression analysis, with self-reported diabetes as the dependent variable. We considered county of residence (5 classifications for Appalachian counties, based on economic development, and 1 for non-Appalachian counties), age, sex, race/ethnicity, education, household income, smoking status, physical activity level, and obesity to be independent variables. The classification "distressed" refers to counties in the worst 10%, compared with the nation as a whole, in terms of 3-year unemployment rate, per capita income, and poverty. RESULTS: Controlling for covariates, residents in distressed Appalachian counties had 33% higher odds (95% confidence interval, 1.10-1.60) of reporting diabetes than residents of non-Appalachian counties. We found no significant differences between other classifications of Appalachian counties and non-Appalachian counties. CONCLUSIONS: Residents of distressed Appalachian counties are at higher risk of diabetes than are residents of other counties. States with distressed Appalachian counties should implement culturally sensitive programs to prevent diabetes. Centers for Disease Control and Prevention 2010-08-15 /pmc/articles/PMC2938398/ /pubmed/20712931 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Original Research
Barker, Lawrence
Crespo, Richard
Shrewsberry, Molly
Gerzoff, Robert B.
Cornelius-Averhart, Darrlyn
Denham, Sharon
Residence in a Distressed County in Appalachia as a Risk Factor for Diabetes, Behavioral Risk Factor Surveillance System, 2006-2007
title Residence in a Distressed County in Appalachia as a Risk Factor for Diabetes, Behavioral Risk Factor Surveillance System, 2006-2007
title_full Residence in a Distressed County in Appalachia as a Risk Factor for Diabetes, Behavioral Risk Factor Surveillance System, 2006-2007
title_fullStr Residence in a Distressed County in Appalachia as a Risk Factor for Diabetes, Behavioral Risk Factor Surveillance System, 2006-2007
title_full_unstemmed Residence in a Distressed County in Appalachia as a Risk Factor for Diabetes, Behavioral Risk Factor Surveillance System, 2006-2007
title_short Residence in a Distressed County in Appalachia as a Risk Factor for Diabetes, Behavioral Risk Factor Surveillance System, 2006-2007
title_sort residence in a distressed county in appalachia as a risk factor for diabetes, behavioral risk factor surveillance system, 2006-2007
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2938398/
https://www.ncbi.nlm.nih.gov/pubmed/20712931
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