Wentao Zhu1, Jiajie Cai1, Yuchen Hu1, Haodan Zhang1, Xiao Han1, Huiqiu Zheng2, Jing Wu3. 1. Department of Toxicology, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, 215123, China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, Jiangsu, 215123, China. 2. Department of Child and Adolescent Health and Health Education, School of Public Health, Inner Mongolia Medical University, Hohhot, Inner Mongolia, 010110, China. Electronic address: 20140022@immu.edu.cn. 3. Department of Toxicology, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, 215123, China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, Jiangsu, 215123, China. Electronic address: wujing88@suda.edu.cn.
Abstract
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 μg/m3 increase) indicated a statistically significant association between long-term PM2.5 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.
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 μg/m3 increase) indicated a statistically significant association between long-term PM2.5 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.
Authors: Longyi Shao; Yaxin Cao; Tim Jones; M Santosh; Luis F O Silva; Shuoyi Ge; Kátia da Boit; Xiaolei Feng; Mengyuan Zhang; Kelly BéruBé Journal: Sci Total Environ Date: 2021-10-29 Impact factor: 7.963
Authors: Hedi Katre Kriit; Eva M Andersson; Hanne K Carlsen; Niklas Andersson; Petter L S Ljungman; Göran Pershagen; David Segersson; Kristina Eneroth; Lars Gidhagen; Mårten Spanne; Peter Molnar; Patrik Wennberg; Annika Rosengren; Debora Rizzuto; Karin Leander; Diego Yacamán-Méndez; Patrik K E Magnusson; Bertil Forsberg; Leo Stockfelt; Johan N Sommar Journal: Int J Environ Res Public Health Date: 2022-02-24 Impact factor: 3.390