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Age at diagnosis of diabetes in Appalachia
BACKGROUND: Appalachia is a region of the United States noted for the poverty and poor health outcomes of its residents. Residents of the poorest Appalachian counties have a high prevalence of diabetes and risk factors (obesity, low income, low education, etc.) for type 2 diabetes. However, diabetes...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3203846/ https://www.ncbi.nlm.nih.gov/pubmed/21961697 http://dx.doi.org/10.1186/1478-7954-9-54 |
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author | Barker, Lawrence Gerzoff, Robert Crespo, Richard Shrewsberry, Molly |
author_facet | Barker, Lawrence Gerzoff, Robert Crespo, Richard Shrewsberry, Molly |
author_sort | Barker, Lawrence |
collection | PubMed |
description | BACKGROUND: Appalachia is a region of the United States noted for the poverty and poor health outcomes of its residents. Residents of the poorest Appalachian counties have a high prevalence of diabetes and risk factors (obesity, low income, low education, etc.) for type 2 diabetes. However, diabetes prevalence exceeds what these risk factors alone explain. Based on this, the history of poor health outcomes in Appalachia, and personally observed high rates of childhood obesity and lack of concern about prediabetes, we speculated that people in Appalachia with diagnosed diabetes might tend to be diagnosed younger than their non-Appalachian counterparts. METHODS: We used data from the Behavioral Risk Factor Surveillance System (2006-2008). We compared age at diagnosis among counties by Appalachian Regional Commission-defined level of economic development. To account for risk differences, we constructed a model for average age at diagnosis of diabetes, adjusting for county economic development, obesity, income, sedentary lifestyle, and other covariates. FINDINGS: After adjustment for risk factors for diabetes, people in distressed or at-risk counties (the least economically developed) had their diabetes diagnosed two to three years younger than comparable people in non-Appalachian counties. No significant differences between non-Appalachian counties and Appalachian counties at higher levels of economic development remained after adjusting. CONCLUSIONS: People in distressed and at-risk counties have poor access to care, and are unlikely to develop diabetes at the same age as their non-Appalachian counterparts but be diagnosed sooner. Therefore, people in distressed and at-risk counties are likely developing diabetes at younger ages. We recommend that steps to reduce health disparities between the poorest Appalachian counties and non-Appalachian counties be considered. |
format | Online Article Text |
id | pubmed-3203846 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-32038462011-10-29 Age at diagnosis of diabetes in Appalachia Barker, Lawrence Gerzoff, Robert Crespo, Richard Shrewsberry, Molly Popul Health Metr Research BACKGROUND: Appalachia is a region of the United States noted for the poverty and poor health outcomes of its residents. Residents of the poorest Appalachian counties have a high prevalence of diabetes and risk factors (obesity, low income, low education, etc.) for type 2 diabetes. However, diabetes prevalence exceeds what these risk factors alone explain. Based on this, the history of poor health outcomes in Appalachia, and personally observed high rates of childhood obesity and lack of concern about prediabetes, we speculated that people in Appalachia with diagnosed diabetes might tend to be diagnosed younger than their non-Appalachian counterparts. METHODS: We used data from the Behavioral Risk Factor Surveillance System (2006-2008). We compared age at diagnosis among counties by Appalachian Regional Commission-defined level of economic development. To account for risk differences, we constructed a model for average age at diagnosis of diabetes, adjusting for county economic development, obesity, income, sedentary lifestyle, and other covariates. FINDINGS: After adjustment for risk factors for diabetes, people in distressed or at-risk counties (the least economically developed) had their diabetes diagnosed two to three years younger than comparable people in non-Appalachian counties. No significant differences between non-Appalachian counties and Appalachian counties at higher levels of economic development remained after adjusting. CONCLUSIONS: People in distressed and at-risk counties have poor access to care, and are unlikely to develop diabetes at the same age as their non-Appalachian counterparts but be diagnosed sooner. Therefore, people in distressed and at-risk counties are likely developing diabetes at younger ages. We recommend that steps to reduce health disparities between the poorest Appalachian counties and non-Appalachian counties be considered. BioMed Central 2011-09-30 /pmc/articles/PMC3203846/ /pubmed/21961697 http://dx.doi.org/10.1186/1478-7954-9-54 Text en Copyright ©2011 Barker et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Barker, Lawrence Gerzoff, Robert Crespo, Richard Shrewsberry, Molly Age at diagnosis of diabetes in Appalachia |
title | Age at diagnosis of diabetes in Appalachia |
title_full | Age at diagnosis of diabetes in Appalachia |
title_fullStr | Age at diagnosis of diabetes in Appalachia |
title_full_unstemmed | Age at diagnosis of diabetes in Appalachia |
title_short | Age at diagnosis of diabetes in Appalachia |
title_sort | age at diagnosis of diabetes in appalachia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3203846/ https://www.ncbi.nlm.nih.gov/pubmed/21961697 http://dx.doi.org/10.1186/1478-7954-9-54 |
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