气候变化领域集成服务门户(CCPortal): Mortality burden attributable to long-term ambient PM2.5 exposure in China: using novel exposure-response functions with multiple exposure windows

CCPortal

DOI	10.1016/j.atmosenv.2020.118098
	Mortality burden attributable to long-term ambient PM2.5 exposure in China: using novel exposure-response functions with multiple exposure windows
	Wu W.; Yao M.; Yang X.; Hopke P.K.; Choi H.; Qiao X.; Zhao X.; Zhang J.
发表日期	2021
ISSN	1352-2310
卷号	246
英文摘要	Background: Exposure to ambient fine particulate matter (PM2.5) increases the mortality burden. Exposure windows and exposure-response functions (ERFs) are two critical components of accurate mortality burden estimation. Objective: We explored the potential heterogeneity of exposure windows and reassessed the PM2.5-attributable mortality burden in China with novel ERFs. Method: Based on 1 km × 1 km satellite-retrieved PM2.5 and population data, provincial-level age structure, and mortality data, we applied the recent Global Exposure Mortality Model (GEMM) with multiple exposure windows (1-year to 6-year during 2010–2015) to estimate age-specific PM2.5-attributable mortality burden in China in 2015. Then, the Global Burden of Disease (GBD) 2017 Integrated Exposure-Response (IER) and Log-Linear (LL) models were exercised for comparative analysis. Result: The PM2.5-attributable mortality was the highest with a 3-year average exposure window (2013–2015). The GEMM-based total premature deaths were 133.2% [95% conﬁdence interval (95% CI): 93.6%–226.4%] and 14.2% (95% CI: 13.9%–16.8%) higher than the values obtained from the GBD2017 IER model and LL model, respectively. The national mortality burden attributable to PM2.5 was 1.94 (95% CI: 1.63–2.23) million, of which IHD and stroke were the leading causes, accounting for 27.3% and 23.0% of the total burden respectively. The mortality burden for the people over 80 years old was 0.62 (95%CI: 0.52–0.71) million, accounting for 31.9% (95%CI: 31.8%–32.0%) of the total burden. Conclusions: This study demonstrates the potential heterogeneity of PM2.5-attributable mortality burden associated with different exposure windows, especially when there are spatial-temporal variations in PM2.5 concentrations. The model comparison results suggest that the health impacts attributed to long-term PM2.5 exposure in China may be much higher than previously estimated. The population over 80 years old has the highest PM2.5-attributable mortality burden. These findings have important policy implications for addressing air pollution at the provincial and national level in China. © 2020 Elsevier Ltd
关键词	Exposure window Fine particulate matter Global exposure mortality model Long-term exposure Premature mortality
语种	英语
scopus关键词	Public policy; Comparative analysis; Critical component; Fine particulate matter (PM2.5); Multiple exposure; PM2.5 concentration; Policy implications; Response functions; Spatial temporals; Population statistics; cause of death; correlation; global perspective; mortality; particulate matter; pollution exposure; public health; satellite data; adult; age distribution; aged; all cause mortality; ambient air; cerebrovascular accident; China; chronic obstructive lung disease; comparative study; controlled study; geographically weighted regression; global disease burden; human; lower respiratory tract infection; lung cancer; major clinical study; mortality rate; PM2.5 exposure; population; premature mortality; priority journal; spatiotemporal analysis; theoretical study; very elderly; China
来源期刊	ATMOSPHERIC ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/248705
作者单位	Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610044, China; Chinese Evidence-based Medicine Center, West China Hospital, Sichuan University, Chengdu, 610044, China; Center for Air Resources Engineering and Science, Clarkson University, Potsdam, NY 13699, United States; Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, United States; Department of Environmental Health Sciences, University of Lehigh School of Health, Allentown, PA 18015, United States; Institute of New Energy and Low-carbon Technology, Sichuan University, Chengdu, 610065, China; Department of Civil and Environmental Engineering, Louisiana State University, Baton Rouge, LA 70803, United States
推荐引用方式 GB/T 7714	Wu W.,Yao M.,Yang X.,et al. Mortality burden attributable to long-term ambient PM2.5 exposure in China: using novel exposure-response functions with multiple exposure windows[J],2021,246.
APA	Wu W..,Yao M..,Yang X..,Hopke P.K..,Choi H..,...&Zhang J..(2021).Mortality burden attributable to long-term ambient PM2.5 exposure in China: using novel exposure-response functions with multiple exposure windows.ATMOSPHERIC ENVIRONMENT,246.
MLA	Wu W.,et al."Mortality burden attributable to long-term ambient PM2.5 exposure in China: using novel exposure-response functions with multiple exposure windows".ATMOSPHERIC ENVIRONMENT 246(2021).