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Risk of Incident Diabetes in Relation to Long-term Exposure to Fine Particulate Matter in Ontario, Canada
Background: Laboratory studies suggest that fine particulate matter (≤ 2.5 µm in diameter; PM(2.5)) can activate pathophysiological responses that may induce insulin resistance and type 2 diabetes. However, epidemiological evidence relating PM(2.5) and diabetes is sparse, particularly for incident d...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Institute of Environmental Health Sciences
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3701997/ https://www.ncbi.nlm.nih.gov/pubmed/23632126 http://dx.doi.org/10.1289/ehp.1205958 |
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author | Chen, Hong Burnett, Richard T. Kwong, Jeffrey C. Villeneuve, Paul J. Goldberg, Mark S. Brook, Robert D. van Donkelaar, Aaron Jerrett, Michael Martin, Randall V. Brook, Jeffrey R. Copes, Ray |
author_facet | Chen, Hong Burnett, Richard T. Kwong, Jeffrey C. Villeneuve, Paul J. Goldberg, Mark S. Brook, Robert D. van Donkelaar, Aaron Jerrett, Michael Martin, Randall V. Brook, Jeffrey R. Copes, Ray |
author_sort | Chen, Hong |
collection | PubMed |
description | Background: Laboratory studies suggest that fine particulate matter (≤ 2.5 µm in diameter; PM(2.5)) can activate pathophysiological responses that may induce insulin resistance and type 2 diabetes. However, epidemiological evidence relating PM(2.5) and diabetes is sparse, particularly for incident diabetes. Objectives: We conducted a population-based cohort study to determine whether long-term exposure to ambient PM(2.5) is associated with incident diabetes. Methods: We assembled a cohort of 62,012 nondiabetic adults who lived in Ontario, Canada, and completed one of five population-based health surveys between 1996 and 2005. Follow-up extended until 31 December 2010. Incident diabetes diagnosed between 1996 and 2010 was ascertained using the Ontario Diabetes Database, a validated registry of persons diagnosed with diabetes (sensitivity = 86%, specificity = 97%). Six-year average concentrations of PM(2.5) at the postal codes of baseline residences were derived from satellite observations. We used Cox proportional hazards models to estimate the associations, adjusting for various individual-level risk factors and contextual covariates such as smoking, body mass index, physical activity, and neighborhood-level household income. We also conducted multiple sensitivity analyses. In addition, we examined effect modification for selected comorbidities and sociodemographic characteristics. Results: There were 6,310 incident cases of diabetes over 484,644 total person-years of follow-up. The adjusted hazard ratio for a 10-µg/m(3) increase in PM(2.5) was 1.11 (95% CI: 1.02, 1.21). Estimated associations were comparable among all sensitivity analyses. We did not find strong evidence of effect modification by comorbidities or sociodemographic covariates. Conclusions: This study suggests that long-term exposure to PM(2.5) may contribute to the development of diabetes. |
format | Online Article Text |
id | pubmed-3701997 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | National Institute of Environmental Health Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-37019972013-07-08 Risk of Incident Diabetes in Relation to Long-term Exposure to Fine Particulate Matter in Ontario, Canada Chen, Hong Burnett, Richard T. Kwong, Jeffrey C. Villeneuve, Paul J. Goldberg, Mark S. Brook, Robert D. van Donkelaar, Aaron Jerrett, Michael Martin, Randall V. Brook, Jeffrey R. Copes, Ray Environ Health Perspect Research Background: Laboratory studies suggest that fine particulate matter (≤ 2.5 µm in diameter; PM(2.5)) can activate pathophysiological responses that may induce insulin resistance and type 2 diabetes. However, epidemiological evidence relating PM(2.5) and diabetes is sparse, particularly for incident diabetes. Objectives: We conducted a population-based cohort study to determine whether long-term exposure to ambient PM(2.5) is associated with incident diabetes. Methods: We assembled a cohort of 62,012 nondiabetic adults who lived in Ontario, Canada, and completed one of five population-based health surveys between 1996 and 2005. Follow-up extended until 31 December 2010. Incident diabetes diagnosed between 1996 and 2010 was ascertained using the Ontario Diabetes Database, a validated registry of persons diagnosed with diabetes (sensitivity = 86%, specificity = 97%). Six-year average concentrations of PM(2.5) at the postal codes of baseline residences were derived from satellite observations. We used Cox proportional hazards models to estimate the associations, adjusting for various individual-level risk factors and contextual covariates such as smoking, body mass index, physical activity, and neighborhood-level household income. We also conducted multiple sensitivity analyses. In addition, we examined effect modification for selected comorbidities and sociodemographic characteristics. Results: There were 6,310 incident cases of diabetes over 484,644 total person-years of follow-up. The adjusted hazard ratio for a 10-µg/m(3) increase in PM(2.5) was 1.11 (95% CI: 1.02, 1.21). Estimated associations were comparable among all sensitivity analyses. We did not find strong evidence of effect modification by comorbidities or sociodemographic covariates. Conclusions: This study suggests that long-term exposure to PM(2.5) may contribute to the development of diabetes. National Institute of Environmental Health Sciences 2013-04-26 2013-07 /pmc/articles/PMC3701997/ /pubmed/23632126 http://dx.doi.org/10.1289/ehp.1205958 Text en http://creativecommons.org/publicdomain/mark/1.0/ Publication of EHP lies in the public domain and is therefore without copyright. All text from EHP may be reprinted freely. Use of materials published in EHP should be acknowledged (for example, ?Reproduced with permission from Environmental Health Perspectives?); pertinent reference information should be provided for the article from which the material was reproduced. Articles from EHP, especially the News section, may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright. |
spellingShingle | Research Chen, Hong Burnett, Richard T. Kwong, Jeffrey C. Villeneuve, Paul J. Goldberg, Mark S. Brook, Robert D. van Donkelaar, Aaron Jerrett, Michael Martin, Randall V. Brook, Jeffrey R. Copes, Ray Risk of Incident Diabetes in Relation to Long-term Exposure to Fine Particulate Matter in Ontario, Canada |
title | Risk of Incident Diabetes in Relation to Long-term Exposure to Fine Particulate Matter in Ontario, Canada |
title_full | Risk of Incident Diabetes in Relation to Long-term Exposure to Fine Particulate Matter in Ontario, Canada |
title_fullStr | Risk of Incident Diabetes in Relation to Long-term Exposure to Fine Particulate Matter in Ontario, Canada |
title_full_unstemmed | Risk of Incident Diabetes in Relation to Long-term Exposure to Fine Particulate Matter in Ontario, Canada |
title_short | Risk of Incident Diabetes in Relation to Long-term Exposure to Fine Particulate Matter in Ontario, Canada |
title_sort | risk of incident diabetes in relation to long-term exposure to fine particulate matter in ontario, canada |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3701997/ https://www.ncbi.nlm.nih.gov/pubmed/23632126 http://dx.doi.org/10.1289/ehp.1205958 |
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