Differential Mortality Risks Associated With PM<sub>2.5</sub> Components A Multi-Country, Multi-City Study
| dc.coverage | DOI: 10.1097/EDE.0000000000001455 | |
| dc.creator | Masselot, Pierre | |
| dc.creator | Sera, Francesco | |
| dc.creator | Schneider, Rochelle | |
| dc.creator | Kan, Haidong | |
| dc.creator | Lavigne, Éric | |
| dc.creator | Stafoggia, Massimo | |
| dc.creator | Tobias, Aurelio | |
| dc.creator | Chen, Hong | |
| dc.creator | Burnett, Richard T. | |
| dc.creator | Schwartz, Joel | |
| dc.creator | Zanobetti, Antonella | |
| dc.creator | Bell, Michelle L. | |
| dc.creator | Chen, Bing Yu | |
| dc.creator | Guo, Yue Liang Leon | |
| dc.creator | Ragettli, Martina S. | |
| dc.creator | Vicedo-Cabrera, Ana Maria | |
| dc.creator | Åström, Christofer | |
| dc.creator | Forsberg, Bertil | |
| dc.creator | Íñiguez, Carmen | |
| dc.creator | Garland, Rebecca M. | |
| dc.creator | Scovronick, Noah | |
| dc.creator | Madureira, Joana | |
| dc.creator | Nunes, Baltazar | |
| dc.creator | De la Cruz Valencia, César | |
| dc.creator | Diaz, Magali Hurtado | |
| dc.creator | Honda, Yasushi | |
| dc.creator | Hashizume, Masahiro | |
| dc.creator | Ng, Chris Fook Cheng | |
| dc.creator | Samoli, Evangelia | |
| dc.creator | Katsouyanni, Klea | |
| dc.creator | Schneider, Alexandra | |
| dc.creator | Breitner, Susanne | |
| dc.creator | Ryti, Niilo R.I. | |
| dc.creator | Jaakkola, Jouni J.K. | |
| dc.creator | Maasikmets, Marek | |
| dc.creator | Orru, Hans | |
| dc.creator | Guo, Yuming | |
| dc.creator | Ortega, Nicolás Valdés | |
| dc.creator | Correa, Patricia Matus | |
| dc.creator | Tong, Shilu | |
| dc.creator | Gasparrini, Antonio | |
| dc.date | 2022 | |
| dc.date.accessioned | 2025-11-18T19:49:21Z | |
| dc.date.available | 2025-11-18T19:49:21Z | |
| dc.description | <p>Background: The association between fine particulate matter (PM<sub>2.5</sub>) and mortality widely differs between as well as within countries. Differences in PM<sub>2.5</sub> 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 PM<sub>2.5</sub> through time series regression analysis. We then pooled these estimates in a meta-regression model that included city-specific logratio-transformed proportions of seven PM<sub>2.5</sub> components as well as meta-predictors derived from city-specific socio-economic and environmental indicators. Results: We found associations between RR and several PM<sub>2.5</sub> components. Increasing the ammonium (NH<sub>4</sub><sup>+</sup>) 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 (NO<sub>3</sub><sup>-</sup>) 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 PM<sub>2.5</sub> risk. Conclusions: These findings contribute to the identification of more hazardous emission sources. Further work is needed to understand the health impacts of PM<sub>2.5</sub> components and sources given the overlapping sources and correlations among many components.</p> | eng |
| dc.identifier | https://investigadores.uandes.cl/en/publications/a7ae2898-67a8-4117-8776-6eb7935f8404 | |
| dc.identifier.uri | https://repositorio.uandes.cl/handle/uandes/56031 | |
| dc.language | eng | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.source | vol.33 (2022) date: 2022-03-01 nr.2 p.167-175 | |
| dc.title | Differential Mortality Risks Associated With PM<sub>2.5</sub> Components A Multi-Country, Multi-City Study | eng |
| dc.type | Article | eng |
| dc.type | Artículo | spa |