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Yu, W.* ; Huang, W.* ; Gasparrini, A.* ; Sera, F.* ; Schneider, A.E. ; Breitner-Busch, S. ; Kyselý, J.* ; Schwartz, J.* ; Madureira, J.* ; Gaio, V.* ; Guo, Y.L.* ; Xu, R.* ; Chen, G.* ; Yang, Z.* ; Wen, B.* ; Wu, Y.* ; Zanobetti, A.* ; Kan, H.* ; Song, J.* ; Li, S.* ; Guo, Y.*

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

Int. J. Epidemiol. 53:dyae066 (2024)
DOI PMC
Creative Commons Lizenzvertrag
Open Access Green as soon as Postprint is submitted to ZB.
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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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords Short-term Exposure ; Air Monitoring Station Observation ; Fine Particulate Matter ; Model Estimation ; Mortality Risk Comparison; Long-term Exposure; Air-pollution; Pm2.5 Concentrations; Measurement-error; All-cause; Health; Association; Burden; Impact
ISSN (print) / ISBN 0300-5771
e-ISSN 1464-3685
Journal International Journal of Epidemiology
Quellenangaben Volume: 53, Issue: 3, Pages: , Article Number: dyae066 Supplement: ,
Publisher Oxford University Press
Publishing Place Great Clarendon St, Oxford Ox2 6dp, England
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Epidemiology II (EPI2)
Grants China Scholarship Council
Australian Medical Research Future Fund
Australian National Health and Medical Research Council
Monash Graduate Scholarship
Monash International Tuition Scholarship
Australian Research Council