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Differential mortality risks associated with PM2.5 components : a multi-country, multi-city study |
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| Author: | Masselot, Pierre1; Sera, Francesco1,2; Schneider, Rochelle1,3,4; |
| Organizations: |
1Department of Public Health, Environments and Society, London School of Hygiene and Tropical Medicine (LSHTM), 15-17 Tavistock Place, London, WC1H 9SH, United Kingdom 2Department of Statistics, Computer Science and Applications “G. Parenti”, University of Florence, Florence, Italy 3Centre on Climate Change and Planetary Health, London School of Hygiene & Tropical Medicine (LSHTM), Keppel Street, London, WC1E 7HT, United Kingdom
4European Centre for Medium-Range Weather Forecast, Reading, United Kingdom
5Department of Environmental Health, School of Public Health, Fudan University, Shanghai, China 6School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada 7Air Health Science Division, Health Canada, Ottawa, Canada 8Department of Epidemiology, Lazio Regional Health Service/ASL Roma 1, Rome, Italy 9Institute of Environmental Assessment and Water Research, Spanish Council for Scientific Research, Barcelona, Spain 10School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan 11Health Canada, Ottawa, Canada 12Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 13School of the Environment, Yale University, New Haven CT 14National Institute of Environmental Health Science, National Health Research Institutes, Zhunan, Taiwan 15Swiss Tropical and Public Health Institute, Basel, Switzerland 16Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland 17Oeschger Center for Climate Change Research, University of Bern, Bern, Switzerland 18Department of Public Health and Clinical Medicine, Umeå University, Sweden 19Department of Statistics and Computational Research. Universitat de València, València, Spain 20Ciberesp, Madrid. Spain 21Natural Resources and the Environment Unit, Council for Scientific and Industrial Research, Pretoria 0001, South Africa 22Unit for Environmental Sciences and Management, North-West University, Potchefstroom 2520, South Africa 23Department of Geography, Geo-informatics and Meteorology, University of Pretoria, Pretoria 0001, South Africa 24Gangarosa Department of Environmental Health. Rollins School of Public Health, Emory University, Atlanta 25Department of Environmental Health, Instituto Nacional de Saúde Dr Ricardo Jorge, Porto, Portugal 26EPIUnit – Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal 27Department of Epidemiology, Instituto Nacional de Saúde Dr Ricardo Jorge, Porto, Portugal 28Centro de Investigação em Saúde Pública, Escola Nacional de Saúde Pública, Universidade NOVA de Lisboa, Lisboa, Portugal 29Department of Environmental Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico 30Center for Climate Change Adaptation, National Institute for Environmental Studies, Tsukuba, Japan 31Faculty of Health and Sport Sciences, University of Tsukuba, Tsukuba, Japan 32Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan 33Department of Hygiene, Epidemiology and Medical Statistics, National and Kapodistrian University of Athens, Greece 34School of Population Health and Environmental Sciences, King’s College, London, United Kingdom 35Institute of Epidemiology, Helmholtz Zentrum München – German Research Center for Environmental Health (GmbH), Neuherberg, Germany 36IBE-Chair of Epidemiology, LMU Munich, Munich, Germany 37Center for Environmental and Respiratory Health Research (CERH), University of Oulu, Oulu, Finland 38Medical Research Center Oulu (MRC Oulu), Oulu University Hospital and University of Oulu, Oulu, Finland 39vironmental and Respiratory Health Research (CERH), University of Oulu, Oulu, Finland 40Finnish Meteorological Institute, Helsinki, Finland 41Estonian Environmental Research Centre, Tallinn, Estonia 42Department of Family Medicine and Public Health, University of Tartu, Tartu, Estonia 43Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia 44Department of Public Health, Universidad de los Andes, Santiago, Chile 45Shanghai Children’s Medical Centre, Shanghai Jiao-Tong University, Shanghai, China 46School of Public Health and Institute of Environment and Human Health, Anhui Medical University, Hefei, China 47Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China 48School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia 49Centre for Statistical Methodology, London School of Hygiene & Tropical Medicine (LSHTM), Keppel Street, London, WC1E 7HT, United Kingdom |
| Format: | article |
| Version: | accepted version |
| Access: | open |
| Online Access: | PDF Full Text (PDF, 1.2 MB) |
| Persistent link: | http://urn.fi/urn:nbn:fi-fe2023022828884 |
| Language: | English |
| Published: |
Wolters Kluwer,
2022
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| Publish Date: | 2023-02-28 |
| Description: |
AbstractBackground: 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 2-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% confidence interval [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. see all
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| Series: |
Epidemiology |
| ISSN: | 1044-3983 |
| ISSN-E: | 1531-5487 |
| ISSN-L: | 1044-3983 |
| Volume: | 33 |
| Issue: | 2 |
| Pages: | 167 - 175 |
| DOI: | 10.1097/ede.0000000000001455 |
| OADOI: | https://oadoi.org/10.1097/ede.0000000000001455 |
| Type of Publication: |
A1 Journal article – refereed |
| Field of Science: |
3142 Public health care science, environmental and occupational health |
| Subjects: | |
| Copyright information: |
© 2021 Wolters Kluwer Health, Inc. Unauthorized reproduction of this article is prohibited. This is a non-final version of an article published in final form in Masselot, Pierrea; Sera, Francescoa,b; Schneider, Rochellea,c,d; Kan, Haidonge; Lavigne, Éricf,g; Stafoggia, Massimoh; Tobias, Aurelioi,j; Chen, Hongk; Burnett, Richard T.k; Schwartz, Joell; Zanobetti, Antonellal; Bell, Michelle L.m; Chen, Bing-Yun; Guo, Yue-Liang Leonn; Ragettli, Martina S.o; Vicedo-Cabrera, Ana Mariap,q; Åström, Christoferr; Forsberg, Bertilr; Íñiguez, Carmens,t; Garland, Rebecca M.u,v,w; Scovronick, Noahx; Madureira, Joanay,z; Nunes, Baltazaraa,bb; De la Cruz Valencia, Césarcc; Hurtado Diaz, Magalicc; Honda, Yasushidd,ee; Hashizume, Masahiroff; Ng, Chris Fook Chengj; Samoli, Evangeliagg; Katsouyanni, Kleagg,hh; Schneider, Alexandraii; Breitner, Susanneii,jj; Ryti, Niilo R.I.kk,ll; Jaakkola, Jouni J.K.kk,ll,mm; Maasikmets, Mareknn; Orru, Hansoo; Guo, Yumingpp; Valdés Ortega, Nicolásqq; Matus Correa, Patriciarr; Tong, Shilurr,ss,tt,uu; Gasparrini, Antonioa,c,vv. Differential Mortality Risks Associated With PM2.5 Components: A Multi-Country, Multi-City Study. Epidemiology 33(2):p 167-175, March 2022. | DOI: 10.1097/EDE.0000000000001455. |