Cargando…
Are Particulate Matter Exposures Associated with Risk of Type 2 Diabetes?
BACKGROUND: Although studies have found that diabetes mellitus (DM) modifies the impact of exposures from air pollution on cardiovascular outcomes, information is limited regarding DM as an air pollution-associated outcome. OBJECTIVES: Using two prospective cohorts, the Nurses’ Health Study (NHS) an...
Autores principales: | , , , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
National Institute of Environmental Health Sciences
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3060003/ https://www.ncbi.nlm.nih.gov/pubmed/21118784 http://dx.doi.org/10.1289/ehp.1002344 |
_version_ | 1782200478863458304 |
---|---|
author | Puett, Robin C. Hart, Jaime E. Schwartz, Joel Hu, Frank B. Liese, Angela D. Laden, Francine |
author_facet | Puett, Robin C. Hart, Jaime E. Schwartz, Joel Hu, Frank B. Liese, Angela D. Laden, Francine |
author_sort | Puett, Robin C. |
collection | PubMed |
description | BACKGROUND: Although studies have found that diabetes mellitus (DM) modifies the impact of exposures from air pollution on cardiovascular outcomes, information is limited regarding DM as an air pollution-associated outcome. OBJECTIVES: Using two prospective cohorts, the Nurses’ Health Study (NHS) and the Health Professionals Follow-Up Study (HPFS), we investigated the relationship of incident type 2 DM with exposures to particulate matter (PM) <2.5 μm (PM(2.5)), PM <10 μm (PM(10)), and PM between 2.5 and 10 μm in aerodynamic diameter (PM(10–2.5)) in the previous 12 months and the distance to roadways. METHODS: Cases were reported and confirmed through biennial and supplemental questionnaires of diagnosis and treatment information. During follow-up from 1989 to 2002, questionnaires provided information on time-varying covariates and updated addresses. Addresses were geocoded and used to assign air pollution exposures from spatiotemporal statistical models. RESULTS: Among participants living in metropolitan areas of the northeastern and midwestern United States, there were 3,784 incident cases of DM in the NHS, and 688 cases in the HPFS. Pooled results from random effects meta-analysis of cohort-specific models adjusted for body mass index and other known risk factors produced hazard ratios (HRs) for incident DM with interquartile range (IQR) increases in average PM during the 12 months before diagnosis of 1.03 [95% confidence interval (CI), 0.96–1.10] for PM(2.5), 1.04 (95% CI, 0.99–1.09) for PM(10), and 1.04 (95% CI, 0.99–1.09) for PM(10–2.5.) Among women, the fully adjusted HR for living < 50 m versus ≥ 200 m from a roadway was 1.14 (95% CI, 1.03–1.27). CONCLUSIONS: Overall, results did not provide strong evidence of an association between exposure to PM in the previous 12 months and incident DM; however, an association with distance to road (a proxy marker of exposure to traffic-related pollution) was shown among women. |
format | Text |
id | pubmed-3060003 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | National Institute of Environmental Health Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-30600032011-03-21 Are Particulate Matter Exposures Associated with Risk of Type 2 Diabetes? Puett, Robin C. Hart, Jaime E. Schwartz, Joel Hu, Frank B. Liese, Angela D. Laden, Francine Environ Health Perspect Research BACKGROUND: Although studies have found that diabetes mellitus (DM) modifies the impact of exposures from air pollution on cardiovascular outcomes, information is limited regarding DM as an air pollution-associated outcome. OBJECTIVES: Using two prospective cohorts, the Nurses’ Health Study (NHS) and the Health Professionals Follow-Up Study (HPFS), we investigated the relationship of incident type 2 DM with exposures to particulate matter (PM) <2.5 μm (PM(2.5)), PM <10 μm (PM(10)), and PM between 2.5 and 10 μm in aerodynamic diameter (PM(10–2.5)) in the previous 12 months and the distance to roadways. METHODS: Cases were reported and confirmed through biennial and supplemental questionnaires of diagnosis and treatment information. During follow-up from 1989 to 2002, questionnaires provided information on time-varying covariates and updated addresses. Addresses were geocoded and used to assign air pollution exposures from spatiotemporal statistical models. RESULTS: Among participants living in metropolitan areas of the northeastern and midwestern United States, there were 3,784 incident cases of DM in the NHS, and 688 cases in the HPFS. Pooled results from random effects meta-analysis of cohort-specific models adjusted for body mass index and other known risk factors produced hazard ratios (HRs) for incident DM with interquartile range (IQR) increases in average PM during the 12 months before diagnosis of 1.03 [95% confidence interval (CI), 0.96–1.10] for PM(2.5), 1.04 (95% CI, 0.99–1.09) for PM(10), and 1.04 (95% CI, 0.99–1.09) for PM(10–2.5.) Among women, the fully adjusted HR for living < 50 m versus ≥ 200 m from a roadway was 1.14 (95% CI, 1.03–1.27). CONCLUSIONS: Overall, results did not provide strong evidence of an association between exposure to PM in the previous 12 months and incident DM; however, an association with distance to road (a proxy marker of exposure to traffic-related pollution) was shown among women. National Institute of Environmental Health Sciences 2011-03 2010-11-30 /pmc/articles/PMC3060003/ /pubmed/21118784 http://dx.doi.org/10.1289/ehp.1002344 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 Puett, Robin C. Hart, Jaime E. Schwartz, Joel Hu, Frank B. Liese, Angela D. Laden, Francine Are Particulate Matter Exposures Associated with Risk of Type 2 Diabetes? |
title | Are Particulate Matter Exposures Associated with Risk of Type 2 Diabetes? |
title_full | Are Particulate Matter Exposures Associated with Risk of Type 2 Diabetes? |
title_fullStr | Are Particulate Matter Exposures Associated with Risk of Type 2 Diabetes? |
title_full_unstemmed | Are Particulate Matter Exposures Associated with Risk of Type 2 Diabetes? |
title_short | Are Particulate Matter Exposures Associated with Risk of Type 2 Diabetes? |
title_sort | are particulate matter exposures associated with risk of type 2 diabetes? |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3060003/ https://www.ncbi.nlm.nih.gov/pubmed/21118784 http://dx.doi.org/10.1289/ehp.1002344 |
work_keys_str_mv | AT puettrobinc areparticulatematterexposuresassociatedwithriskoftype2diabetes AT hartjaimee areparticulatematterexposuresassociatedwithriskoftype2diabetes AT schwartzjoel areparticulatematterexposuresassociatedwithriskoftype2diabetes AT hufrankb areparticulatematterexposuresassociatedwithriskoftype2diabetes AT lieseangelad areparticulatematterexposuresassociatedwithriskoftype2diabetes AT ladenfrancine areparticulatematterexposuresassociatedwithriskoftype2diabetes |