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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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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



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