Exposure to source-specific air pollution and risk for type 2 diabetes: a nationwide study covering Denmark

Author:

Sørensen Mette12ORCID,Poulsen Aslak H1,Hvidtfeldt Ulla A1,Frohn Lise M3,Ketzel Matthias34,Christensen Jesper H3,Brandt Jørgen35,Geels Camilla3,Raaschou-Nielsen Ole13

Affiliation:

1. Work, Environment and Cancer, Danish Cancer Society Research Center , Copenhagen, Denmark

2. Department of Natural Science and Environment, Roskilde University , Roskilde, Denmark

3. Department of Environmental Science, Aarhus University , Roskilde, Denmark

4. Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, University of Surrey , Guildford, UK

5. iClimate—Interdisciplinary Centre for Climate Change, Aarhus University , Roskilde, Denmark

Abstract

Abstract Background Only few epidemiological studies have investigated whether chronic exposure to air pollution from different sources have different impacts on risk of diabetes. We aimed to investigate associations between air pollution from traffic versus non-traffic sources and risk of type 2 diabetes in the Danish population. Methods We estimated long-term exposure to traffic and non-traffic contributions of particulate matter with a diameter <2.5 µg (PM2.5), elemental carbon (EC), ultrafine particles (UFP) and nitrogen dioxide (NO2) for all persons living in Denmark for the period 2005–17. In total, 2.6 million persons aged >35 years were included, of whom 148 020 developed type 2 diabetes during follow-up. We applied Cox proportional hazards models for analyses, using 5-year time-weighted running means of air pollution and adjustment for individual- and area-level demographic and socioeconomic covariates. Results We found that 5-year exposure to all particle measures (PM2.5, UFP and EC) and NO2 were associated with higher type 2 diabetes risk. We observed that for UFP, EC and potentially PM2.5, the pollution originating from traffic was associated with higher risks than the non-traffic contributions, whereas for NO2 similar hazard ratios (HR) were observed. For example, in two-source models, hazard ratios (HRs) per interquartile change in traffic UFP, EC and PM2.5 were 1.025, 1.045 and 1.036, respectively, whereas for non-traffic UFP, EC and PM2.5, the HRs were 1.013, 1.018 and 1.001, respectively. Conclusions Our finding of stronger associations with particulate matter from traffic compared with non-traffic sources implies that prevention strategies should focus on limiting traffic-related particulate matter air pollution.

Funder

Health Effects Institute

United States Environmental Protection Agency

Publisher

Oxford University Press (OUP)

Subject

General Medicine,Epidemiology

Reference36 articles.

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