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...
| Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| 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 |
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Differential Mortality Risks Associated With PM<inf>2.5</inf> Components A Multi-Country, Multi-City StudyMasselot, PierreSera, FrancescoSchneider, RochelleKan, HaidongLavigne, ÉricStafoggia, MassimoTobias, AurelioChen, HongBurnett, Richard T.Schwartz, JoelZanobetti, AntonellaBell, Michelle L.Chen, Bing-YuGuo, Yue Liang LeonRagettli, Martina S.Vicedo-Cabrera, Ana MariaÅström, ChristoferForsberg, BertilÍñiguez, CarmenGarland, Rebecca M.Scovronick, NoahMadureira, JoanaNunes, BaltazarDe la Cruz Valencia, CésarDiaz, Magali HurtadoHonda, YasushiHashizume, MasahiroNg, Chris Fook ShengSamoli, EvangeliaKatsouyanni, KleaSchneider, AlexandraBreitner, SusanneRyti, Niilo R.I.Jaakkola, Jouni J. K.Maasikmets, MarekOrru, HansGuo, YumingOrtega, Nicolás ValdésCorrea, Patricia MatusTong, ShiluGasparrini, AntonioEpidemiologyMortality Risks2.5 componentshttp://metadata.un.org/sdg/6Ensure availability and sustainable management of water and sanitation for allBackground: 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.Peer reviewedWolters KluwerConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202320232022info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/330144https://api.elsevier.com/content/abstract/scopus_id/85123973639reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésEpidemiology10.1097/EDE.0000000000001455Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3301442026-05-22T06:33:51Z |
| dc.title.none.fl_str_mv |
Differential Mortality Risks Associated With PM<inf>2.5</inf> Components A Multi-Country, Multi-City Study |
| title |
Differential Mortality Risks Associated With PM<inf>2.5</inf> Components A Multi-Country, Multi-City Study |
| spellingShingle |
Differential Mortality Risks Associated With PM<inf>2.5</inf> Components A Multi-Country, Multi-City Study Masselot, Pierre Epidemiology Mortality Risks 2.5 components http://metadata.un.org/sdg/6 Ensure availability and sustainable management of water and sanitation for all |
| title_short |
Differential Mortality Risks Associated With PM<inf>2.5</inf> Components A Multi-Country, Multi-City Study |
| title_full |
Differential Mortality Risks Associated With PM<inf>2.5</inf> Components A Multi-Country, Multi-City Study |
| title_fullStr |
Differential Mortality Risks Associated With PM<inf>2.5</inf> Components A Multi-Country, Multi-City Study |
| title_full_unstemmed |
Differential Mortality Risks Associated With PM<inf>2.5</inf> Components A Multi-Country, Multi-City Study |
| title_sort |
Differential Mortality Risks Associated With PM<inf>2.5</inf> Components A Multi-Country, Multi-City Study |
| dc.creator.none.fl_str_mv |
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 |
| author |
Masselot, Pierre |
| author_facet |
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 |
| author_role |
author |
| author2 |
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 |
| author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
| dc.contributor.none.fl_str_mv |
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
Epidemiology Mortality Risks 2.5 components http://metadata.un.org/sdg/6 Ensure availability and sustainable management of water and sanitation for all |
| topic |
Epidemiology Mortality Risks 2.5 components http://metadata.un.org/sdg/6 Ensure availability and sustainable management of water and sanitation for all |
| description |
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. |
| publishDate |
2022 |
| dc.date.none.fl_str_mv |
2022 2023 2023 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Postprint info:eu-repo/semantics/acceptedVersion |
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article |
| status_str |
acceptedVersion |
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http://hdl.handle.net/10261/330144 https://api.elsevier.com/content/abstract/scopus_id/85123973639 |
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http://hdl.handle.net/10261/330144 https://api.elsevier.com/content/abstract/scopus_id/85123973639 |
| dc.language.none.fl_str_mv |
Inglés |
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Inglés |
| dc.relation.none.fl_str_mv |
Epidemiology 10.1097/EDE.0000000000001455 Sí |
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info:eu-repo/semantics/openAccess |
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openAccess |
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Wolters Kluwer |
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Wolters Kluwer |
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reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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Consejo Superior de Investigaciones Científicas (CSIC) |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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1869412786714443776 |
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15,812429 |