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Diabetes Incidence and Long-Term Exposure to Air Pollution: A cohort study
OBJECTIVE: Animal and cross-sectional epidemiological studies suggest a link between air pollution and diabetes, whereas the limited prospective data show mixed results. We studied the association between long-term exposure to traffic-related air pollution and incidence of diabetes. RESEARCH DESIGN...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Diabetes Association
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3241311/ https://www.ncbi.nlm.nih.gov/pubmed/22074722 http://dx.doi.org/10.2337/dc11-1155 |
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author | Andersen, Zorana J. Raaschou-Nielsen, Ole Ketzel, Matthias Jensen, Steen S. Hvidberg, Martin Loft, Steffen Tjønneland, Anne Overvad, Kim Sørensen, Mette |
author_facet | Andersen, Zorana J. Raaschou-Nielsen, Ole Ketzel, Matthias Jensen, Steen S. Hvidberg, Martin Loft, Steffen Tjønneland, Anne Overvad, Kim Sørensen, Mette |
author_sort | Andersen, Zorana J. |
collection | PubMed |
description | OBJECTIVE: Animal and cross-sectional epidemiological studies suggest a link between air pollution and diabetes, whereas the limited prospective data show mixed results. We studied the association between long-term exposure to traffic-related air pollution and incidence of diabetes. RESEARCH DESIGN AND METHODS: We followed 57,053 participants of the Danish Diet, Cancer, and Health cohort in the Danish National Diabetes Register between baseline (1993–1997) and 27 June 2006. We estimated the mean levels of nitrogen dioxide (NO(2)) at the residential addresses of the cohort participants since 1971 and modeled the association between NO(2) and diabetes incidence with a Cox regression model, separately for two definitions of diabetes: all cases and a more strict definition where unconfirmed cases were excluded. RESULTS: Over a mean follow-up of 9.7 years of 51,818 eligible subjects, there were 4,040 (7.8%) incident diabetes cases in total and 2,877 (5.5%) with confirmed diagnoses. Air pollution was not associated with all diabetes cases (hazard ratio 1.00 [95% CI 0.97–1.04] per interquartile range of 4.9 μg/m(3) mean NO(2) levels since 1971), but a borderline statistically significant association was detected with confirmed cases of diabetes (1.04 [1.00–1.08]). Among confirmed diabetes cases, effects were significantly enhanced in nonsmokers (1.12 [1.05–1.20]) and physically active people (1.10 [1.03–1.16]). CONCLUSIONS: Long-term exposure to traffic-related air pollution may contribute to the development of diabetes, especially in individuals with a healthy lifestyle, nonsmokers, and physically active individuals. |
format | Online Article Text |
id | pubmed-3241311 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | American Diabetes Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-32413112013-01-01 Diabetes Incidence and Long-Term Exposure to Air Pollution: A cohort study Andersen, Zorana J. Raaschou-Nielsen, Ole Ketzel, Matthias Jensen, Steen S. Hvidberg, Martin Loft, Steffen Tjønneland, Anne Overvad, Kim Sørensen, Mette Diabetes Care Original Research OBJECTIVE: Animal and cross-sectional epidemiological studies suggest a link between air pollution and diabetes, whereas the limited prospective data show mixed results. We studied the association between long-term exposure to traffic-related air pollution and incidence of diabetes. RESEARCH DESIGN AND METHODS: We followed 57,053 participants of the Danish Diet, Cancer, and Health cohort in the Danish National Diabetes Register between baseline (1993–1997) and 27 June 2006. We estimated the mean levels of nitrogen dioxide (NO(2)) at the residential addresses of the cohort participants since 1971 and modeled the association between NO(2) and diabetes incidence with a Cox regression model, separately for two definitions of diabetes: all cases and a more strict definition where unconfirmed cases were excluded. RESULTS: Over a mean follow-up of 9.7 years of 51,818 eligible subjects, there were 4,040 (7.8%) incident diabetes cases in total and 2,877 (5.5%) with confirmed diagnoses. Air pollution was not associated with all diabetes cases (hazard ratio 1.00 [95% CI 0.97–1.04] per interquartile range of 4.9 μg/m(3) mean NO(2) levels since 1971), but a borderline statistically significant association was detected with confirmed cases of diabetes (1.04 [1.00–1.08]). Among confirmed diabetes cases, effects were significantly enhanced in nonsmokers (1.12 [1.05–1.20]) and physically active people (1.10 [1.03–1.16]). CONCLUSIONS: Long-term exposure to traffic-related air pollution may contribute to the development of diabetes, especially in individuals with a healthy lifestyle, nonsmokers, and physically active individuals. American Diabetes Association 2012-01 2011-12-09 /pmc/articles/PMC3241311/ /pubmed/22074722 http://dx.doi.org/10.2337/dc11-1155 Text en © 2012 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. See http://creativecommons.org/licenses/by-nc-nd/3.0/ for details. |
spellingShingle | Original Research Andersen, Zorana J. Raaschou-Nielsen, Ole Ketzel, Matthias Jensen, Steen S. Hvidberg, Martin Loft, Steffen Tjønneland, Anne Overvad, Kim Sørensen, Mette Diabetes Incidence and Long-Term Exposure to Air Pollution: A cohort study |
title | Diabetes Incidence and Long-Term Exposure to Air Pollution: A cohort study |
title_full | Diabetes Incidence and Long-Term Exposure to Air Pollution: A cohort study |
title_fullStr | Diabetes Incidence and Long-Term Exposure to Air Pollution: A cohort study |
title_full_unstemmed | Diabetes Incidence and Long-Term Exposure to Air Pollution: A cohort study |
title_short | Diabetes Incidence and Long-Term Exposure to Air Pollution: A cohort study |
title_sort | diabetes incidence and long-term exposure to air pollution: a cohort study |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3241311/ https://www.ncbi.nlm.nih.gov/pubmed/22074722 http://dx.doi.org/10.2337/dc11-1155 |
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