Long-Term Exposure to Source-Specific Fine Particles and Mortality─A Pooled Analysis of 14 European Cohorts within the ELAPSE Project

Jie Chen, Gerard Hoek, Kees de Hoogh, Sophia Rodopoulou, Zorana J Andersen, Tom Bellander, Jørgen Brandt, Daniela Fecht, Francesco Forastiere, John Gulliver, Ole Hertel, Barbara Hoffmann, Ulla Arthur Hvidtfeldt, W M Monique Verschuren, Karl-Heinz Jöckel, Jeanette T Jørgensen, Klea Katsouyanni, Matthias Ketzel, Diego Yacamán Méndez, Karin LeanderShuo Liu, Petter Ljungman, Elodie Faure, Patrik K E Magnusson, Gabriele Nagel, Göran Pershagen, Annette Peters, Ole Raaschou-Nielsen, Debora Rizzuto, Evangelia Samoli, Yvonne T van der Schouw, Sara Schramm, Gianluca Severi, Massimo Stafoggia, Maciej Strak, Mette Sørensen, Anne Tjønneland, Gudrun Weinmayr, Kathrin Wolf, Emanuel Zitt, Bert Brunekreef, George D Thurston

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Abstract

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.

Original languageEnglish
Pages (from-to)9277-9290
Number of pages14
JournalEnvironmental Science and Technology
Volume56
Issue number13
DOIs
Publication statusPublished - 5 Jul 2022

Keywords

  • absolute principal component analysis (APCA)
  • fine particulate matter (PM )
  • mortality
  • source apportionment

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