Chen, J.* ; Hoek, G.* ; de Hoogh, K.* ; Rodopoulou, S.* ; Andersen, Z.J.* ; Bellander, T.* ; Brandt, J.* ; Fecht, D.* ; Forastiere, F.* ; Gulliver, J.* ; Hertel, O.* ; Hoffmann, B.* ; Hvidtfeldt, U.A.* ; Verschuren, W.M.M.* ; Jöckel, K.H.* ; Jørgensen, J.T.* ; Katsouyanni, K.* ; Ketzel, M.* ; Méndez, D.Y.* ; Leander, K.* ; Liu, S.* ; Ljungman, P.* ; Faure, E.* ; Magnusson, P.K.E.* ; Nagel, G.* ; Pershagen, G.* ; Peters, A. ; Raaschou-Nielsen, O.* ; Rizzuto, D.* ; Samoli, E.* ; van der Schouw, Y.T.* ; Schramm, S.* ; Severi, G.* ; Stafoggia, M.* ; Strak, M.* ; Sørensen, M.* ; Tjønneland, A.* ; Weinmayr, G.* ; Wolf, K. ; Zitt, E.* ; Brunekreef, B.* ; Thurston, G.D.*
Long-term exposure to source-specific fine particles and mortality – a
pooled analysis of 14 European cohorts within the ELAPSE project.
Environ. Sci. Technol. 56, 9277–9290 (2022)
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.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Scopus
Cited By
Altmetric
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
Schlagwörter
Absolute Principal Component Analysis (apca) ; Fine Particulate Matter (pm2.5) ; Mortality ; Source Apportionment
Keywords plus
Sprache
englisch
Veröffentlichungsjahr
2022
Prepublished im Jahr
0
HGF-Berichtsjahr
2022
ISSN (print) / ISBN
0013-936X
e-ISSN
1520-5851
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: 56,
Heft: 13,
Seiten: 9277–9290
Artikelnummer: ,
Supplement: ,
Reihe
Verlag
ACS
Verlagsort
Washington, DC
Tag d. mündl. Prüfung
0000-00-00
Betreuer
Gutachter
Prüfer
Topic
Hochschule
Hochschulort
Fakultät
Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Epidemiology (EPI)
POF Topic(s)
30202 - Environmental Health
Forschungsfeld(er)
Genetics and Epidemiology
PSP-Element(e)
G-504000-010
G-504000-001
Förderungen
United States Environmental Protection Agency
Copyright
Erfassungsdatum
2022-07-12