TY - JOUR
T1 - Long-Term Exposure to Source-Specific Fine Particles and Mortality─A Pooled Analysis of 14 European Cohorts within the ELAPSE Project
AU - Chen, Jie
AU - Hoek, Gerard
AU - de Hoogh, Kees
AU - Rodopoulou, Sophia
AU - Andersen, Zorana J
AU - Bellander, Tom
AU - Brandt, Jørgen
AU - Fecht, Daniela
AU - Forastiere, Francesco
AU - Gulliver, John
AU - Hertel, Ole
AU - Hoffmann, Barbara
AU - Hvidtfeldt, Ulla Arthur
AU - Verschuren, W M Monique
AU - Jöckel, Karl-Heinz
AU - Jørgensen, Jeanette T
AU - Katsouyanni, Klea
AU - Ketzel, Matthias
AU - Méndez, Diego Yacamán
AU - Leander, Karin
AU - Liu, Shuo
AU - Ljungman, Petter
AU - Faure, Elodie
AU - Magnusson, Patrik K E
AU - Nagel, Gabriele
AU - Pershagen, Göran
AU - Peters, Annette
AU - Raaschou-Nielsen, Ole
AU - Rizzuto, Debora
AU - Samoli, Evangelia
AU - van der Schouw, Yvonne T
AU - Schramm, Sara
AU - Severi, Gianluca
AU - Stafoggia, Massimo
AU - Strak, Maciej
AU - Sørensen, Mette
AU - Tjønneland, Anne
AU - Weinmayr, Gudrun
AU - Wolf, Kathrin
AU - Zitt, Emanuel
AU - Brunekreef, Bert
AU - Thurston, George D
N1 - Funding Information:
The research described in this article was conducted under contract to the Health Effects Institute (HEI), an organization jointly funded by the United States Environmental Protection Agency (EPA) (Assistance Award No. R-82811201) and certain motor vehicle and engine manufacturers. The contents of this article do not necessarily reflect the views of HEI, or its sponsors, nor do they necessarily reflect the views and policies of the EPA or motor vehicle and engine manufacturers.
Publisher Copyright:
© 2022 American Chemical Society. All rights reserved.
PY - 2022/7/5
Y1 - 2022/7/5
N2 - We assessed mortality risks associated with source-specific fine particles (PM 2.5) in a pooled European cohort of 323,782 participants. Cox proportional hazard models were applied to estimate mortality hazard ratios (HRs) for source-specific PM 2.5 identified through a source apportionment analysis. Exposure to 2010 annual average concentrations of source-specific PM 2.5 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/m 3 increase) across five identified sources. On a 1 μg/m 3 basis, the residual oil-related PM 2.5 had the strongest association (HR: 1.13; 95% CI: 1.05 and 1.22), which was substantially higher than that for generic PM 2.5 mass, suggesting that past estimates using the generic PM 2.5 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.
AB - We assessed mortality risks associated with source-specific fine particles (PM 2.5) in a pooled European cohort of 323,782 participants. Cox proportional hazard models were applied to estimate mortality hazard ratios (HRs) for source-specific PM 2.5 identified through a source apportionment analysis. Exposure to 2010 annual average concentrations of source-specific PM 2.5 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/m 3 increase) across five identified sources. On a 1 μg/m 3 basis, the residual oil-related PM 2.5 had the strongest association (HR: 1.13; 95% CI: 1.05 and 1.22), which was substantially higher than that for generic PM 2.5 mass, suggesting that past estimates using the generic PM 2.5 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.
KW - absolute principal component analysis (APCA)
KW - fine particulate matter (PM )
KW - mortality
KW - source apportionment
UR - http://www.scopus.com/inward/record.url?scp=85134084148&partnerID=8YFLogxK
U2 - 10.1021/acs.est.2c01912
DO - 10.1021/acs.est.2c01912
M3 - Article
C2 - 35737879
SN - 0013-936X
VL - 56
SP - 9277
EP - 9290
JO - Environmental Science and Technology
JF - Environmental Science and Technology
IS - 13
ER -