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

Environmental Health

Research

Stefan Möhlenkamp¹  Raimund Erbel¹  Kateryna Fuks²  Frauke Hennig²  Barbara Hoffmann³  Gudrun Weinmayr³  Susanne Moebus⁴  Karl-Heinz Jöckel⁴  Michael Nonnemacher⁴  Hermann Jakobs⁵ 

[1] Department of Cardiology, West German Heart Centre of Essen, University of Duisburg-Essen, Essen, Germany;IUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany;IUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany;Medical School, Heinrich Heine University of Düsseldorf, Düsseldorf, Germany;Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany;Rhenish Institute for Environmental Research at the University of Cologne, Cologne, Germany;

关键词: Type 2 diabetes;    Particulate matter;    PM;    PM;    Air pollution;    Traffic;   

DOI  :  10.1186/s12940-015-0031-x

 received in 2014-11-25, accepted in 2015-05-14,  发布年份 2015

来源: Springer

【 摘 要 】

BackgroundStudies 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.MethodsWe 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 km2 resolution). Effect estimates for an increase of 1 μg/m3 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.Results331 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.ConclusionsLong-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.

【 授权许可】

CC BY   
© Weinmayr et al. 2015