Mortality burden based on the associations of ambient PM2.5 with cause-specific mortality in China: Evidence from a death-spectrum wide association study (DWAS)

医学 置信区间 人口学 死因 死亡率 人口 环境卫生 内科学 疾病 社会学
作者
Tao Liu,Weiwei Gong,Chunliang Zhou,Guoxia Bai,Ruilin Meng,Biao Huang,Haoming Zhang,Yanjun Xu,Ruying Hu,Zhulin Hou,Yize Xiao,Junhua Li,Xiaojun Xu,Donghui Jin,Mingfang Qin,Qian Zhao,Yuliang Xu,Jianxiong Hu,Jianpeng Xiao,Guanhao He,Zuhua Rong,Fangfang Zeng,Pan Yang,Dan Liú,Lifang Yuan,Ganxiang Cao,Zhiqing Chen,Siwen Yu,Shihe Yang,Cunrui Huang,Yanjun Du,Min Yu,Lifeng Lin,Xiaofeng Liang,Wenjun Ma
出处
期刊:Ecotoxicology and Environmental Safety [Elsevier BV]
卷期号:259: 115045-115045 被引量:1
标识
DOI:10.1016/j.ecoenv.2023.115045
摘要

Although studies have estimated the associations of PM2.5 with total mortality or cardiopulmonary mortality, few have comprehensively examined cause-specific mortality risk and burden caused by ambient PM2.5. Thus, this study investigated the association of short-term exposure to PM2.5 with cause-specific mortality using a death-spectrum wide association study (DWAS). Individual information of 5,450,764 deaths during 2013-2018 were collected from six provinces in China. Daily PM2.5 concentration in the case and control days were estimated by a random forest model. A time-stratified case-crossover study design was applied to estimate the associations (access risk, ER) of PM2.5 with cause-specific mortality, which was then used to calculate the population-attributable fraction (PAF) of mortality and the corresponding mortality burden caused by PM2.5. Each 10 μg/m3 increase in PM2.5 concentration (lag03) was associated with a 0.80 % [95 % confidence interval (CI): 0.73 %, 0.86 %] rise in total mortality. We found greater mortality effect at PM2.5 concentrations < 50 μg/m3. Stratified analyses showed greater ERs in females (1.01 %, 95 %CI: 0.91 %, 1.11 %), children ≤ 5 years (2.17 %, 95 %CI: 0.85 %, 3.51 %), and old people ≥ 70 years. We identified 33 specific causes (level 2) of death which had significant associations with PM2.5, including 16 circulatory diseases, 9 respiratory diseases, and 8 other causes. The PAF estimated based on the overall association between PM2.5 and total mortality was 3.16 % (95 %CI: 2.89 %, 3.40 %). However, the PAF was reduced to 2.88 % (95 %CI: 1.88 %, 3.81 %) using the associations of PM2.5 with 33 level 2 causes of death, based on which 250.15 (95 %CI: 163.29, 330.93) thousand deaths were attributable to short-term PM2.5 exposure across China in 2019. Overall, this study provided a comprehensive picture on the death-spectrum wide association between PM2.5 and morality in China. We observed robust positive cause-specific associations of PM2.5 with mortality risk, which may provide more precise basis in assessing the mortality burden of air pollution.

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