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Long-term exposure to fine particulate matter and incidence of type 2 diabetes mellitus in a cohort study: effects of total and traffic-specific air pollution
Journal article   Open access   Peer reviewed

Long-term exposure to fine particulate matter and incidence of type 2 diabetes mellitus in a cohort study: effects of total and traffic-specific air pollution

Gudrun Weinmayr, Frauke Hennig, Kateryna Fuks, Michael Nonnemacher, Hermann Jakobs, Stefan Möhlenkamp, Raimund Erbel, Karl-Heinz Jöckel, Barbara Hoffmann, Susanne Moebus, …
Environmental health, v 14(1), pp 53-53
19 Jun 2015
DOI: https://doi.org/10.1186/s12940-015-0031-x
PMID: 26087770
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://ehjournal.biomedcentral.com/track/pdf/10.1186/s12940-015-0031-xView
Published, Version of Record (VoR) Open
url
https://doi.org/10.1186/s12940-015-0031-xView
Published, Version of Record (VoR) Open

Abstract

Age Factors Aged Air Pollutants - adverse effects Air Pollutants - analysis Air Pollution - adverse effects Cardiovascular Diseases - chemically induced Cohort Studies Diabetes Mellitus, Type 2 - chemically induced Diabetes Mellitus, Type 2 - epidemiology Environmental Exposure - adverse effects Female Follow-Up Studies Germany - epidemiology Humans Incidence Male Middle Aged Particulate Matter - adverse effects Particulate Matter - analysis Prospective Studies Sex Factors Time Factors Vehicle Emissions - analysis
Studies investigating the link between long-term exposure to air pollution and incidence of diabetes are still scarce and results are inconsistent, possibly due to different compositions of the particle mixture. We investigate the long-term effect of traffic-specific and total particulate matter (PM) and road proximity on cumulative incidence of diabetes mellitus (mainly type 2) in a large German cohort. We followed prospectively 3607 individuals without diabetes at baseline (2000-2003) from the Heinz Nixdorf Recall Study in Germany (mean follow-up time 5.1 years). Mean annual exposures to total as well as traffic-specific PM10 and PM2.5 at residence were estimated using a chemistry transport model (EURAD, 1 km(2) resolution). Effect estimates for an increase of 1 μg/m(3) in PM were obtained with Poisson regression adjusting for sex, age, body mass index, lifestyle factors, area-level and individual-level socio-economic status, and city. 331 incident cases developed. Adjusted RRs for total PM10 and PM2.5 were 1.05 (95%-CI: 1.00;1.10) and 1.03 (95%-CI: 0.95;1.12), respectively. Markedly higher point estimates were found for local traffic-specific PM with RRs of 1.36 (95%-CI: 0.98;1.89) for PM10 and 1.36 (95%-CI: 0.97;1.89) for PM2.5. Individuals living closer than 100 m to a busy road had a more than 30% higher risk (1.37;95%-CI: 1.04;1.81) than those living further than 200 m away. Long-term exposure to total PM increases type two diabetes risk in the general population, as does living close to a major road. Local traffic-specific PM was related to higher risks for type two diabetes than total PM.

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being
#11 Sustainable Cities and Communities

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Collaboration types
Domestic collaboration
Web of Science research areas
Environmental Sciences
Public, Environmental & Occupational Health
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