Your browser doesn't support javascript.
loading
Exposure to source-specific air pollution and risk for type 2 diabetes: a nationwide study covering Denmark.
Sørensen, Mette; Poulsen, Aslak H; Hvidtfeldt, Ulla A; Frohn, Lise M; Ketzel, Matthias; Christensen, Jesper H; Brandt, Jørgen; Geels, Camilla; Raaschou-Nielsen, Ole.
Afiliação
  • Sørensen M; Work, Environment and Cancer, Danish Cancer Society Research Center, Copenhagen, Denmark.
  • Poulsen AH; Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark.
  • Hvidtfeldt UA; Work, Environment and Cancer, Danish Cancer Society Research Center, Copenhagen, Denmark.
  • Frohn LM; Work, Environment and Cancer, Danish Cancer Society Research Center, Copenhagen, Denmark.
  • Ketzel M; Department of Environmental Science, Aarhus University, Roskilde, Denmark.
  • Christensen JH; Department of Environmental Science, Aarhus University, Roskilde, Denmark.
  • Brandt J; Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, University of Surrey, Guildford, UK.
  • Geels C; Department of Environmental Science, Aarhus University, Roskilde, Denmark.
  • Raaschou-Nielsen O; Department of Environmental Science, Aarhus University, Roskilde, Denmark.
Int J Epidemiol ; 51(4): 1219-1229, 2022 08 10.
Article em En | MEDLINE | ID: mdl-35285908
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.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Europa Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Europa Idioma: En Ano de publicação: 2022 Tipo de documento: Article