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, Jorgen
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 - Joeckel, Karl-Heinz
AU - Jorgensen, Jeanette T.
AU - Katsouyanni, Klea
AU - Ketzel, Matthias
AU - Mendez, Diego Yacaman
AU - Leander, Karin
AU - Liu, Shuo
AU - Ljungman, Petter
AU - Faure, Elodie
AU - Magnusson, Patrik K. E.
AU - Nagel, Gabriele
AU - Pershagen, Goran
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 - Tjonneland, Anne
AU - Weinmayr, Gudrun
AU - Wolf, Kathrin
AU - Zitt, Emanuel
AU - Brunekreef, Bert
AU - Thurston, George D.
PY - 2022
Y1 - 2022
N2 - We assessed mortality risks associated with sourcespecific 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 mu g/m(3) increase) across five identified sources. On a 1 mu g/m(3) 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.
AB - We assessed mortality risks associated with sourcespecific 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 mu g/m(3) increase) across five identified sources. On a 1 mu g/m(3) 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.
KW - source apportionment
KW - fine particulate matter (PM2.5)
KW - absolute principal component analysis (APCA)
KW - mortality
KW - USE REGRESSION-MODELS
KW - PARTICULATE MATTER
KW - SOURCE-APPORTIONMENT
KW - AIR-POLLUTION
KW - SPATIAL VARIATION
KW - HEART-DISEASE
KW - RISK-FACTORS
KW - HEALTH
KW - NO2
KW - COMPONENTS
U2 - 10.1021/acs.est.2c01912
DO - 10.1021/acs.est.2c01912
M3 - Journal article
C2 - 35737879
VL - 56
SP - 9277
EP - 9290
JO - Environmental Science & Technology
JF - Environmental Science & Technology
SN - 0013-936X
IS - 13
ER -