Differential Mortality Risks Associated With PM<inf>2.5</inf> Components A Multi-Country, Multi-City Study

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 mortali...

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Detalles Bibliográficos
Autores: Masselot, Pierre, Sera, Francesco, Schneider, Rochelle, Kan, Haidong, Lavigne, Éric, Stafoggia, Massimo, Tobias, Aurelio, Chen, Hong, Burnett, Richard T., Schwartz, Joel, Zanobetti, Antonella, Bell, Michelle L., Chen, Bing-Yu, Guo, Yue Liang Leon, Ragettli, Martina S., Vicedo-Cabrera, Ana Maria, Åström, Christofer, Forsberg, Bertil, Íñiguez, Carmen, Garland, Rebecca M., Scovronick, Noah, Madureira, Joana, Nunes, Baltazar, De la Cruz Valencia, César, Diaz, Magali Hurtado, Honda, Yasushi, Hashizume, Masahiro, Ng, Chris Fook Sheng, Samoli, Evangelia, Katsouyanni, Klea, Schneider, Alexandra, Breitner, Susanne, Ryti, Niilo R.I., Jaakkola, Jouni J. K., Maasikmets, Marek, Orru, Hans, Guo, Yuming, Ortega, Nicolás Valdés, Correa, Patricia Matus, Tong, Shilu, Gasparrini, Antonio
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2022
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/330144
Acceso en línea:http://hdl.handle.net/10261/330144
https://api.elsevier.com/content/abstract/scopus_id/85123973639
Access Level:acceso abierto
Palabra clave:Epidemiology
Mortality Risks
2.5 components
http://metadata.un.org/sdg/6
Ensure availability and sustainable management of water and sanitation for all
Descripción
Sumario: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 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.

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