期刊
CHEMOSPHERE
卷 267, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chemosphere.2020.128903
关键词
Fine particulate matter; PM2.5; Myocardial infarction; MI; Post-MI mortality; Meta-analysis
资金
- National Natural Science Foundation of China (NSFC) [81803271]
- China Postdoctoral Science Foundation [2018M642318, 2019T120458]
- Jiangsu Planned Projects for Postdoctoral Research Fund [2018K234C]
- Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)
A meta-analysis showed a significant association between long-term exposure to PM2.5 and increased risks of myocardial infarction (MI) and post-MI mortality. There was no apparent publication bias, indicating the reliability of the results. These findings may have implications for improving public health and policy-making.
Background: Air pollution has become a global challenge, and a growing number of studies have suggested possible relationships between long-term exposure to fine particulate matter (PM2.5) and risks of cardiovascular events, specifically, myocardial infarction (MI). However, the recently reported results were inconsistent. We thus performed a meta-analysis and sought to assess whether long-term exposure to PM2.5 relates with incident MI risks and post-MI mortality. Methods: EMBASE, Web of Science and PubMed were searched for all potentially eligible studies published before August 2, 2020 using a combination of keywords related to PM2.5 exposure, its long-term effects and myocardial infarction. Key information was extracted, and calculated hazard ratio (HR) values were combined by selecting corresponding models according to heterogeneity test. A sensitivity analysis and a publication bias assessment were also performed to determine the reliability of the results. Results: Of the initially identified 2100 citations, 12 studies met our inclusion criteria and observed a total population of approximately 7.2 million. Pooled estimates (per 10 mu g/m(3) increase) indicated a statistically significant association between long-term PM 2 . 5 exposure and MI incidence (HR = 1.10, 95% CI: 1.02-1.18) or post-MI mortality (HR = 1.07, 95% CI: 1.04-1.09). Results for MI incidence from Egger's linear regression method (P = 0.515) and Begg's test (P = 0.711) showed no obvious publication bias. Conclusion: Our quantitative analysis reveals a significant link between long-term PM2. (5) exposure and greater MI incidence risks or higher post-MI mortality. Our findings may therefore have implications for individual protection and policy support to improve public health. (C) 2020 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据