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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...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Centers for Disease Control and Prevention
2010
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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. |
format | Text |
id | pubmed-2938398 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
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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