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Long-term exposure to source-specific fine particles and mortality─a pooled analysis of 14 European cohorts within the ELAPSE Project.
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Long-term exposure to source-specific PM.pdf | Published version | 13.09 MB | Adobe PDF | View/Open |
Title: | Long-term exposure to source-specific fine particles and mortality─a pooled analysis of 14 European cohorts within the ELAPSE Project. |
Authors: | Chen, J Hoek, G De Hoogh, K Rodopoulou, S Andersen, ZJ Bellander, T Brandt, J Fecht, D Forastiere, F Gulliver, J Hertel, O Hoffmann, B Hvidtfeldt, UA Verschuren, WMM Jöckel, K-H Jørgensen, JT Katsouyanni, K Ketzel, M Méndez, DY Leander, K Liu, S Ljungman, P Faure, E Magnusson, PKE Nagel, G Pershagen, G Peters, A Raaschou-Nielsen, O Rizzuto, D Samoli, E Van der Schouw, YT Schramm, S Severi, G Stafoggia, M Strak, M Sørensen, M Tjønneland, A Weinmayr, G Wolf, K Zitt, E Brunekreef, B Thurston, GD |
Item Type: | Journal Article |
Abstract: | We assessed mortality risks associated with source-specific fine particles (PM2.5) in a pooled European cohort of 323,782 participants. Cox proportional hazard models were applied to estimate mortality hazard ratios (HRs) for source-specific PM2.5 identified through a source apportionment analysis. Exposure to 2010 annual average concentrations of source-specific PM2.5 components was assessed at baseline residential addresses. The source apportionment resulted in the identification of five sources: traffic, residual oil combustion, soil, biomass and agriculture, and industry. In single-source analysis, all identified sources were significantly positively associated with increased natural mortality risks. In multisource analysis, associations with all sources attenuated but remained statistically significant with traffic, oil, and biomass and agriculture. The highest association per interquartile increase was observed for the traffic component (HR: 1.06; 95% CI: 1.04 and 1.08 per 2.86 μg/m3 increase) across five identified sources. On a 1 μg/m3 basis, the residual oil-related PM2.5 had the strongest association (HR: 1.13; 95% CI: 1.05 and 1.22), which was substantially higher than that for generic PM2.5 mass, suggesting that past estimates using the generic PM2.5 exposure response function have underestimated the potential clean air health benefits of reducing fossil-fuel combustion. Source-specific associations with cause-specific mortality were in general consistent with findings of natural mortality. |
Issue Date: | 23-Jun-2022 |
Date of Acceptance: | 7-Jun-2022 |
URI: | http://hdl.handle.net/10044/1/97935 |
DOI: | 10.1021/acs.est.2c01912 |
ISSN: | 0013-936X |
Publisher: | American Chemical Society |
Journal / Book Title: | Environmental Science and Technology (Washington) |
Volume: | 56 |
Issue: | 13 |
Copyright Statement: | © 2022 The Authors. Published by American Chemical Society |
Keywords: | Science & Technology Technology Life Sciences & Biomedicine Engineering, Environmental Environmental Sciences Engineering Environmental Sciences & Ecology source apportionment fine particulate matter (PM2.5) absolute principal component analysis (APCA) mortality USE REGRESSION-MODELS PARTICULATE MATTER SOURCE-APPORTIONMENT AIR-POLLUTION SPATIAL VARIATION HEART-DISEASE RISK-FACTORS HEALTH NO2 COMPONENTS absolute principal component analysis (APCA) fine particulate matter (PM2.5) mortality source apportionment Air Pollutants Air Pollution Cohort Studies Environmental Exposure Humans Particulate Matter Humans Air Pollutants Cohort Studies Air Pollution Environmental Exposure Particulate Matter absolute principal component analysis (APCA) fine particulate matter (PM2.5) mortality source apportionment Environmental Sciences |
Publication Status: | Published online |
Conference Place: | United States |
Appears in Collections: | Faculty of Medicine School of Public Health |
This item is licensed under a Creative Commons License