Association between ambient fine particulate matter constituents and mortality and morbidity of cardiovascular and respiratory diseases: A systematic review and meta-analysis

IF 7.6 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Jie Yan, Zhaoyang Li, Kai Wang, Cuiyao Xie, Jiaqi Zhu, Shaowei Wu
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Abstract

Existing studies have explored the associations between short-term or long-term exposures to PM2.5 constituents and mortality and morbidity outcomes related to all-causes, natural causes and the cardiopulmonary system, but the results are still inconclusive. To explore the associations between short-term and long-term exposures to ambient PM2.5 constituents with mortality and morbidity outcomes of all-cause, natural, cardiovascular and respiratory diseases. We comprehensively searched PubMed, Embase, Web of Science and Scopus electronic databases to identify studies until 28, August 2023. We estimated the pooled relative risk (RR) with 95% confidence interval (CI) using random-effect models. Then we explored potential sources of heterogeneity across different studies by subgroup and meta-regression analysis. A total of 67 articles were included in the meta-analysis. We found that short-term exposures to PM2.5 carbon-containing constituents (black carbon and organic carbon) and metal iron showed the most consistent associations with the eight health outcomes among different PM2.5 constituents. Meanwhile, only long-term exposures to nitrate ions and silicon in PM2.5 showed significant positive associations with cardiovascular and natural mortality outcomes. Additionally, subgroup and meta-regression analyses highlight that geographical region and age group are primary sources of heterogeneity. The current meta-analysis reveals potential key PM2.5 constituents associated with elevated risk of mortality and morbidity of cardiovascular and respiratory diseases. Thus, greater attention should be directed toward establishing exposure limits for specific PM2.5 constituents to protect public health and alleviate the associated burden of diseases.

Abstract Image

环境细颗粒物成分与心血管和呼吸系统疾病死亡率和发病率之间的关系:一项系统综述和荟萃分析
现有的研究已经探索了短期或长期暴露于PM2.5成分与全因、自然原因和心肺系统相关的死亡率和发病率之间的关系,但结果仍然没有定论。探讨短期和长期暴露于环境PM2.5成分与全因、自然、心血管和呼吸系统疾病的死亡率和发病率之间的关系。我们全面检索了PubMed, Embase, Web of Science和Scopus电子数据库,以确定2023年8月28日之前的研究。我们使用随机效应模型以95%置信区间(CI)估计合并相对风险(RR)。然后,我们通过亚组和元回归分析探讨了不同研究之间异质性的潜在来源。meta分析共纳入67篇文章。我们发现,短期暴露于PM2.5含碳成分(黑碳和有机碳)和金属铁与不同PM2.5成分之间的八种健康结果的关联最为一致。同时,只有长期暴露于PM2.5中的硝酸盐离子和硅与心血管和自然死亡结果呈正相关。此外,亚组和元回归分析强调地理区域和年龄组是异质性的主要来源。当前的荟萃分析揭示了潜在的关键PM2.5成分与心血管和呼吸系统疾病的死亡率和发病率升高相关。因此,应该更加重视为特定的PM2.5成分制定暴露限值,以保护公众健康并减轻相关的疾病负担。
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来源期刊
Environmental Pollution
Environmental Pollution 环境科学-环境科学
CiteScore
16.00
自引率
6.70%
发文量
2082
审稿时长
2.9 months
期刊介绍: Environmental Pollution is an international peer-reviewed journal that publishes high-quality research papers and review articles covering all aspects of environmental pollution and its impacts on ecosystems and human health. Subject areas include, but are not limited to: • Sources and occurrences of pollutants that are clearly defined and measured in environmental compartments, food and food-related items, and human bodies; • Interlinks between contaminant exposure and biological, ecological, and human health effects, including those of climate change; • Contaminants of emerging concerns (including but not limited to antibiotic resistant microorganisms or genes, microplastics/nanoplastics, electronic wastes, light, and noise) and/or their biological, ecological, or human health effects; • Laboratory and field studies on the remediation/mitigation of environmental pollution via new techniques and with clear links to biological, ecological, or human health effects; • Modeling of pollution processes, patterns, or trends that is of clear environmental and/or human health interest; • New techniques that measure and examine environmental occurrences, transport, behavior, and effects of pollutants within the environment or the laboratory, provided that they can be clearly used to address problems within regional or global environmental compartments.
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