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Masselot, P.* ; Sera, F.* ; Schneider, R.* ; Kan, H.* ; Lavigne, E.* ; Stafoggia, M.* ; Tobias, A.* ; Chen, H.* ; Burnett, R.T.* ; Schwartz, J.* ; Zanobetti, A.* ; Bell, M.L.* ; Chen, B.Y.* ; Leon Guo, Y.L.* ; Ragettli, M.S.* ; Vicedo-Cabrera, A.M.* ; Åström, C.* ; Forsberg, B.* ; Iñiguez, C.* ; Garland, R.M.* ; Scovronick, N.* ; Madureira, J.* ; Nunes, B.* ; De la Cruz Valencia, C.* ; Hurtado Diaz, M.* ; Honda, Y.* ; Hashizume, M.* ; Fook Cheng Ng, C.* ; Samoli, E.* ; Katsouyanni, K.* ; Schneider, A.E. ; Breitner-Busch, S. ; Ryti, N.R.I.* ; Jaakkola, J.J.K.* ; Maasikmets, M.* ; Orru, H.* ; Guo, Y.* ; Valdés Ortega, N.* ; Matus Correa, P.* ; Tong, S.* ; Gasparrini, A.*

Differential mortality risks associated with PM2.5 components: A multi-country, multi-city study.

Epidemiology 33, 167-175 (2022)
Postprint DOI PMC
Open Access Green
BACKGROUND: The association between fine particulate matter (PM2.5) and mortality widely differs between as well as within countries. Differences in PM2.5 composition can play a role in modifying the effect estimates, but there is little evidence about which components have higher impacts on mortality. METHODS: We applied a two-stage analysis on data collected from 210 locations in 16 countries. In the first stage, we estimated location-specific relative risks (RR) for mortality associated with daily total PM2.5 through time series regression analysis. We then pooled these estimates in a meta-regression model that included city-specific logratio-transformed proportions of seven PM2.5 components as well as meta-predictors derived from city-specific socio-economic and environmental indicators. RESULTS: We found associations between RR and several PM2.5 components. Increasing the ammonium (NH4+) proportion from 1% to 22%, while keeping a relative average proportion of other components, increased the RR from 1.0063 (95%CI: 1.0030-1.0097) to 1.0102 (95%CI:1.0070-1.0135). Conversely, an increase in nitrate (NO3-) from 1% to 71% resulted in a reduced RR, from 1.0100 (95%CI: 1.0067-1.0133) to 1.0037 (95%CI: 0.9998- 1.0077). Differences in composition explained a substantial part of the heterogeneity in PM2.5 risk. CONCLUSIONS: These findings contribute to the identification of more hazardous emission sources. Further work is needed to understand the health impacts of PM2.5 components and sources given the overlapping sources and correlations among many components.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Fine Particulate Matter; Air-pollution; Chemical-constituents; Hospital Admissions; Short-term; Cardiovascular Mortality; R-package; Health; Models; Emissions
Sprache englisch
Veröffentlichungsjahr 2022
Prepublished im Jahr 2021
HGF-Berichtsjahr 2021
ISSN (print) / ISBN 1044-3983
e-ISSN 1531-5487
Zeitschrift Epidemiology
Quellenangaben Band: 33, Heft: 2, Seiten: 167-175 Artikelnummer: , Supplement: ,
Verlag Lippincott Williams & Wilkins
Verlagsort Two Commerce Sq, 2001 Market St, Philadelphia, Pa 19103 Usa
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Epidemiology (EPI)
POF Topic(s) 30202 - Environmental Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-504000-001
Förderungen NIEHS-funded HERCULES Center
EU HORIZON 2020 Project EMERGE
Academy of Finland
European Union
Natural Environment Research Council of UK
Medical Research Council of UK
DOI 10.1097/EDE.0000000000001455
WOS ID WOS:000749166000005
Scopus ID 85123973639
PubMed ID 34907973
Erfassungsdatum 2022-02-03
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