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Ambient PM2.5 and cardiopulmonary mortality in the oldest-old people in China: A national time-stratified case-crossover study

医学 置信区间 人口学 中国 儿科 内科学 社会学 政治学 法学
作者
Cuiling Wu,Guanhao He,Wei Wu,Ruilin Meng,Chunliang Zhou,Guoxia Bai,Min Yu,Weiwei Gong,Biao Huang,Yize Xiao,Jianxiong Hu,Jianpeng Xiao,Fangfang Zeng,Pan Yang,Dan Liu,Qijiong Zhu,Zhiqing Chen,Siwen Yu,Cunrui Huang,Yaodong Du,Xiaofeng Liang,Tao Liu,Wenjun Ma
出处
期刊:Med [Elsevier]
卷期号:5 (1): 62-72.e3 被引量:3
标识
DOI:10.1016/j.medj.2023.12.005
摘要

Background Evidence on the associations of fine particulate matter (PM2.5) with cardiopulmonary mortality in the oldest-old (aged 80+ years) people remains limited. Methods We conducted a time-stratified case-crossover study of 1,475,459 deaths from cardiopulmonary diseases in China to estimate the associations between short-term exposure to ambient PM2.5 and cardiopulmonary mortality among the oldest-old people. Findings Each 10 μg/m3 increase in PM2.5 concentration (6-day moving average [lag05]) was associated with higher mortality from cardiopulmonary diseases (excess risks [ERs] = 1.69%, 95% confidence interval [CI]: 1.54%, 1.84%), cardiovascular diseases (ER = 1.72%, 95% CI: 1.54%, 1.90%), and respiratory diseases (ER = 1.62%, 95% CI: 1.33%, 1.91%). Compared to the other groups, females (ER = 1.94%, 95% CI: 1.73%, 2.15%) (p for difference test = 0.043) and those aged 95–99 years (ER = 2.31%, 95% CI: 1.61%, 3.02%) (aged 80–85 years old was the reference, p for difference test = 0.770) presented greater mortality risks. We found 14 specific cardiopulmonary causes associated with PM2.5, out of which emphysema (ER = 3.20%, 95% CI: 1.57%, 4.86%) had the largest association. Out of the total deaths, 6.27% (attributable fraction [AF], 95% CI: 5.72%, 6.82%) were ascribed to short-term PM2.5 exposure. Conclusions This study provides evidence of PM2.5-induced cardiopulmonary mortality and calls for targeted prevention actions for the oldest-old people. Funding This work was supported by the National Key Research and Development Program of China, the National Natural Science Foundation of China, the Foreign Expert Program of the Ministry of Science and Technology, the Natural Science Foundation of Guangdong, China, and the Science and Technology Program of Guangzhou.

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