Ambient fine particulate matter and daily mortality: a comparative analysis of observed and estimated exposure in 347 cities

Bibliographic Details
Main Author: Yu, W
Publication Date: 2024
Other Authors: 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
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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spelling 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
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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
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1464-3685
10.1093/ije/dyae066
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dc.publisher.none.fl_str_mv Oxford University Press
publisher.none.fl_str_mv Oxford University Press
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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