Mortality attributable to ambient PM2.5 exposure across regions in China from 2005 to 2020
Background: China has implemented rigorous clean air policies since 2013 to address PM2.5 pollution particularly affecting economically developed regions. The Fusion relative risk model was recently developed to better capture the association between long-term PM2.5 exposure and mortality risk, but...
| Published in: | Environmental Advances |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
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Elsevier
2024-10-01
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| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666765724001091 |
| _version_ | 1849740051938803712 |
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| author | Lei Wan Michael Tong Xuemei Bai Sotiris Vardoulakis |
| author_facet | Lei Wan Michael Tong Xuemei Bai Sotiris Vardoulakis |
| author_sort | Lei Wan |
| collection | DOAJ |
| container_title | Environmental Advances |
| description | Background: China has implemented rigorous clean air policies since 2013 to address PM2.5 pollution particularly affecting economically developed regions. The Fusion relative risk model was recently developed to better capture the association between long-term PM2.5 exposure and mortality risk, but it has not been used in China. Methods: We estimated cause-specific PM2.5 attributable deaths among adults (≥ 25 years) across China over 2005–2020 at a 0.1° × 0.1° spatial resolution using the Fusion model, and also adopted the Global Exposure Mortality Model (GEMM) for comparison. We investigated 31 provinces and targeted five mega city clusters: Beijing–Tianjin–Hebei cluster (BTH), Yangtze River Delta cluster (YRD), Pearl River Delta cluster (PRD), Cheng–Yu cluster (CY) and Middle reaches of the Yangtze River cluster (MYR). Results: The Fusion model estimated PM2.5 attributable deaths increased from 2.38 million (95 % UI: 2.06-2.64) in 2005 to 2.68 million (95 % UI: 2.33-2.95) in 2013 (12.6 %), then declined by 11.6 % to 2.37 million (95 % UI: 2.04-2.65) in 2020. Ischemic Heart Disease (IHD) and Stroke contributed most to the total attributable deaths (33.4 % and 35.0 % in 2020). Compared with the GEMM, the Fusion model generated higher attributable mortality estimates for IHD, Stroke and Chronic Obstructive Pulmonary Disease, but lower estimates for Lung Cancer and Lower Respiratory Infections. PM2.5 attributable deaths were clustered in densely populated and highly polluted regions, with Henan and Shandong bearing the highest mortality burden among the 31 provinces. PM2.5 attributable deaths in BTH, YRD, PRD, CY and MYR declined by 5.3 %, 11.5 %, 18.0 %, 25.4 % and 18.6 % respectively over 2013–2020, with greater declines in attributable mortality rates (18.9 %, 23.8 %, 33.8 %, 27.3 % and 24.1 %). Conclusions: Future clean air policies in China should consider regional disparities and continue prioritizing highly polluted and densely populated urban areas, including the five mega city clusters. |
| format | Article |
| id | doaj-art-577f69733fac4e7facf11c51cf039fa5 |
| institution | Directory of Open Access Journals |
| issn | 2666-7657 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | Elsevier |
| record_format | Article |
| spelling | doaj-art-577f69733fac4e7facf11c51cf039fa52025-08-20T01:47:14ZengElsevierEnvironmental Advances2666-76572024-10-011710059110.1016/j.envadv.2024.100591Mortality attributable to ambient PM2.5 exposure across regions in China from 2005 to 2020Lei Wan0Michael Tong1Xuemei Bai2Sotiris Vardoulakis3National Centre for Epidemiology and Population Health, The Australian National University, Canberra, ACT 2601, AustraliaNational Centre for Epidemiology and Population Health, The Australian National University, Canberra, ACT 2601, AustraliaFenner School of Environment and Society, The Australian National University, Canberra, ACT 2601, Australia; Healthy Environments and Lives (HEAL) National Research Network, AustraliaHealthy Environments and Lives (HEAL) National Research Network, Australia; HEAL Global Research Centre, Health Research Institute, University of Canberra, Bruce, ACT 2617, Australia; Corresponding author at: HEAL Global Research Centre, Health Research Institute, University of Canberra, Bruce, ACT 2617, Australia.Background: China has implemented rigorous clean air policies since 2013 to address PM2.5 pollution particularly affecting economically developed regions. The Fusion relative risk model was recently developed to better capture the association between long-term PM2.5 exposure and mortality risk, but it has not been used in China. Methods: We estimated cause-specific PM2.5 attributable deaths among adults (≥ 25 years) across China over 2005–2020 at a 0.1° × 0.1° spatial resolution using the Fusion model, and also adopted the Global Exposure Mortality Model (GEMM) for comparison. We investigated 31 provinces and targeted five mega city clusters: Beijing–Tianjin–Hebei cluster (BTH), Yangtze River Delta cluster (YRD), Pearl River Delta cluster (PRD), Cheng–Yu cluster (CY) and Middle reaches of the Yangtze River cluster (MYR). Results: The Fusion model estimated PM2.5 attributable deaths increased from 2.38 million (95 % UI: 2.06-2.64) in 2005 to 2.68 million (95 % UI: 2.33-2.95) in 2013 (12.6 %), then declined by 11.6 % to 2.37 million (95 % UI: 2.04-2.65) in 2020. Ischemic Heart Disease (IHD) and Stroke contributed most to the total attributable deaths (33.4 % and 35.0 % in 2020). Compared with the GEMM, the Fusion model generated higher attributable mortality estimates for IHD, Stroke and Chronic Obstructive Pulmonary Disease, but lower estimates for Lung Cancer and Lower Respiratory Infections. PM2.5 attributable deaths were clustered in densely populated and highly polluted regions, with Henan and Shandong bearing the highest mortality burden among the 31 provinces. PM2.5 attributable deaths in BTH, YRD, PRD, CY and MYR declined by 5.3 %, 11.5 %, 18.0 %, 25.4 % and 18.6 % respectively over 2013–2020, with greater declines in attributable mortality rates (18.9 %, 23.8 %, 33.8 %, 27.3 % and 24.1 %). Conclusions: Future clean air policies in China should consider regional disparities and continue prioritizing highly polluted and densely populated urban areas, including the five mega city clusters.http://www.sciencedirect.com/science/article/pii/S2666765724001091Fine particulate matterPM2.5 attributable deathsPM2.5 attributable mortality rateFusion relative risk modelChina |
| spellingShingle | Lei Wan Michael Tong Xuemei Bai Sotiris Vardoulakis Mortality attributable to ambient PM2.5 exposure across regions in China from 2005 to 2020 Fine particulate matter PM2.5 attributable deaths PM2.5 attributable mortality rate Fusion relative risk model China |
| title | Mortality attributable to ambient PM2.5 exposure across regions in China from 2005 to 2020 |
| title_full | Mortality attributable to ambient PM2.5 exposure across regions in China from 2005 to 2020 |
| title_fullStr | Mortality attributable to ambient PM2.5 exposure across regions in China from 2005 to 2020 |
| title_full_unstemmed | Mortality attributable to ambient PM2.5 exposure across regions in China from 2005 to 2020 |
| title_short | Mortality attributable to ambient PM2.5 exposure across regions in China from 2005 to 2020 |
| title_sort | mortality attributable to ambient pm2 5 exposure across regions in china from 2005 to 2020 |
| topic | Fine particulate matter PM2.5 attributable deaths PM2.5 attributable mortality rate Fusion relative risk model China |
| url | http://www.sciencedirect.com/science/article/pii/S2666765724001091 |
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