Ambient fine particulate matter and daily mortality: a comparative analysis of observed and estimated exposure in 347 cities
Main Author: | |
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Publication Date: | 2024 |
Other Authors: | , , , , , , , , , , , , , , , , , , , , |
Format: | Article |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | https://hdl.handle.net/10216/160639 |
Summary: | Background: Model-estimated air pollution exposure products have been widely used in epidemiological studies to assess the health risks of particulate matter with diameters of ≤2.5 µm (PM2.5). However, few studies have assessed the disparities in health effects between model-estimated and station-observed PM2.5 exposures. Methods: We collected daily all-cause, respiratory and cardiovascular mortality data in 347 cities across 15 countries and regions worldwide based on the Multi-City Multi-Country collaborative research network. The station-observed PM2.5 data were obtained from official monitoring stations. The model-estimated global PM2.5 product was developed using a machine-learning approach. The associations between daily exposure to PM2.5 and mortality were evaluated using a two-stage analytical approach. Results: We included 15.8 million all-cause, 1.5 million respiratory and 4.5 million cardiovascular deaths from 2000 to 2018. Short-term exposure to PM2.5 was associated with a relative risk increase (RRI) of mortality from both station-observed and model-estimated exposures. Every 10-μg/m3 increase in the 2-day moving average PM2.5 was associated with overall RRIs of 0.67% (95% CI: 0.49 to 0.85), 0.68% (95% CI: -0.03 to 1.39) and 0.45% (95% CI: 0.08 to 0.82) for all-cause, respiratory, and cardiovascular mortality based on station-observed PM2.5 and RRIs of 0.87% (95% CI: 0.68 to 1.06), 0.81% (95% CI: 0.08 to 1.55) and 0.71% (95% CI: 0.32 to 1.09) based on model-estimated exposure, respectively. Conclusions: Mortality risks associated with daily PM2.5 exposure were consistent for both station-observed and model-estimated exposures, suggesting the reliability and potential applicability of the global PM2.5 product in epidemiological studies. |
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Ambient fine particulate matter and daily mortality: a comparative analysis of observed and estimated exposure in 347 citiesBackground: Model-estimated air pollution exposure products have been widely used in epidemiological studies to assess the health risks of particulate matter with diameters of ≤2.5 µm (PM2.5). However, few studies have assessed the disparities in health effects between model-estimated and station-observed PM2.5 exposures. Methods: We collected daily all-cause, respiratory and cardiovascular mortality data in 347 cities across 15 countries and regions worldwide based on the Multi-City Multi-Country collaborative research network. The station-observed PM2.5 data were obtained from official monitoring stations. The model-estimated global PM2.5 product was developed using a machine-learning approach. The associations between daily exposure to PM2.5 and mortality were evaluated using a two-stage analytical approach. Results: We included 15.8 million all-cause, 1.5 million respiratory and 4.5 million cardiovascular deaths from 2000 to 2018. Short-term exposure to PM2.5 was associated with a relative risk increase (RRI) of mortality from both station-observed and model-estimated exposures. Every 10-μg/m3 increase in the 2-day moving average PM2.5 was associated with overall RRIs of 0.67% (95% CI: 0.49 to 0.85), 0.68% (95% CI: -0.03 to 1.39) and 0.45% (95% CI: 0.08 to 0.82) for all-cause, respiratory, and cardiovascular mortality based on station-observed PM2.5 and RRIs of 0.87% (95% CI: 0.68 to 1.06), 0.81% (95% CI: 0.08 to 1.55) and 0.71% (95% CI: 0.32 to 1.09) based on model-estimated exposure, respectively. Conclusions: Mortality risks associated with daily PM2.5 exposure were consistent for both station-observed and model-estimated exposures, suggesting the reliability and potential applicability of the global PM2.5 product in epidemiological studies.Oxford University Press20242024-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/160639eng0300-57711464-368510.1093/ije/dyae066Yu, WHuang, WGasparrini, ASera, FSchneider, ABreitner, SKyselý, JSchwartz, JMadureira, JGaio, VGuo, YLXu, RChen, GYang, ZWen, BWu, YZanobetti, AKan, HSong, JLi, SGuo, YMulti-City Multi-Country Collaborative Research Networkinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-27T18:06:39Zoai:repositorio-aberto.up.pt:10216/160639Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T22:37:17.814299Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Ambient fine particulate matter and daily mortality: a comparative analysis of observed and estimated exposure in 347 cities |
title |
Ambient fine particulate matter and daily mortality: a comparative analysis of observed and estimated exposure in 347 cities |
spellingShingle |
Ambient fine particulate matter and daily mortality: a comparative analysis of observed and estimated exposure in 347 cities Yu, W |
title_short |
Ambient fine particulate matter and daily mortality: a comparative analysis of observed and estimated exposure in 347 cities |
title_full |
Ambient fine particulate matter and daily mortality: a comparative analysis of observed and estimated exposure in 347 cities |
title_fullStr |
Ambient fine particulate matter and daily mortality: a comparative analysis of observed and estimated exposure in 347 cities |
title_full_unstemmed |
Ambient fine particulate matter and daily mortality: a comparative analysis of observed and estimated exposure in 347 cities |
title_sort |
Ambient fine particulate matter and daily mortality: a comparative analysis of observed and estimated exposure in 347 cities |
author |
Yu, W |
author_facet |
Yu, W Huang, W Gasparrini, A Sera, F Schneider, A Breitner, S Kyselý, J Schwartz, J Madureira, J Gaio, V Guo, YL Xu, R Chen, G Yang, Z Wen, B Wu, Y Zanobetti, A Kan, H Song, J Li, S Guo, Y Multi-City Multi-Country Collaborative Research Network |
author_role |
author |
author2 |
Huang, W Gasparrini, A Sera, F Schneider, A Breitner, S Kyselý, J Schwartz, J Madureira, J Gaio, V Guo, YL Xu, R Chen, G Yang, Z Wen, B Wu, Y Zanobetti, A Kan, H Song, J Li, S Guo, Y Multi-City Multi-Country Collaborative Research Network |
author2_role |
author author author author author author author author author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Yu, W Huang, W Gasparrini, A Sera, F Schneider, A Breitner, S Kyselý, J Schwartz, J Madureira, J Gaio, V Guo, YL Xu, R Chen, G Yang, Z Wen, B Wu, Y Zanobetti, A Kan, H Song, J Li, S Guo, Y Multi-City Multi-Country Collaborative Research Network |
description |
Background: Model-estimated air pollution exposure products have been widely used in epidemiological studies to assess the health risks of particulate matter with diameters of ≤2.5 µm (PM2.5). However, few studies have assessed the disparities in health effects between model-estimated and station-observed PM2.5 exposures. Methods: We collected daily all-cause, respiratory and cardiovascular mortality data in 347 cities across 15 countries and regions worldwide based on the Multi-City Multi-Country collaborative research network. The station-observed PM2.5 data were obtained from official monitoring stations. The model-estimated global PM2.5 product was developed using a machine-learning approach. The associations between daily exposure to PM2.5 and mortality were evaluated using a two-stage analytical approach. Results: We included 15.8 million all-cause, 1.5 million respiratory and 4.5 million cardiovascular deaths from 2000 to 2018. Short-term exposure to PM2.5 was associated with a relative risk increase (RRI) of mortality from both station-observed and model-estimated exposures. Every 10-μg/m3 increase in the 2-day moving average PM2.5 was associated with overall RRIs of 0.67% (95% CI: 0.49 to 0.85), 0.68% (95% CI: -0.03 to 1.39) and 0.45% (95% CI: 0.08 to 0.82) for all-cause, respiratory, and cardiovascular mortality based on station-observed PM2.5 and RRIs of 0.87% (95% CI: 0.68 to 1.06), 0.81% (95% CI: 0.08 to 1.55) and 0.71% (95% CI: 0.32 to 1.09) based on model-estimated exposure, respectively. Conclusions: Mortality risks associated with daily PM2.5 exposure were consistent for both station-observed and model-estimated exposures, suggesting the reliability and potential applicability of the global PM2.5 product in epidemiological studies. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024 2024-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/10216/160639 |
url |
https://hdl.handle.net/10216/160639 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0300-5771 1464-3685 10.1093/ije/dyae066 |
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info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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application/pdf |
dc.publisher.none.fl_str_mv |
Oxford University Press |
publisher.none.fl_str_mv |
Oxford University Press |
dc.source.none.fl_str_mv |
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RCAAP |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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