Associations between exposure to various air pollutants and risk of metabolic syndrome: a systematic review and meta-analysis.

IF 2.6 3区医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

International Archives of Occupational and Environmental Health Pub Date : 2024-08-01 Epub Date: 2024-05-11 DOI:10.1007/s00420-024-02072-0

Changmao Dai, Xiaolan Sun, Liangqing Wu, Jiao Chen, Xiaohong Hu, Fang Ding, Wei Chen, Haiyan Lei, Xueping Li

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引用次数: 0

Abstract

Background: Metabolic Syndrome (MetS) is a widely observed metabolic disorder that is increasingly prevalent worldwide, leading to substantial societal consequences. Previous studies have conducted two separate meta-analyses to investigate the relationship between MetS and air pollutants. However, these studies yielded conflicting results, necessitating a thorough systematic review and meta-analysis to reassess the link between different air pollutants and the risk of developing MetS.

Methods: We conducted a comprehensive search of relevant literature in databases including PubMed, Embase, Cochrane Library, and Web of Science up to October 9, 2023. The search was specifically restricted to publications in the English language. Following the screening of studies investigating the correlation between air pollution and MetS, we utilized random-effects models to calculate pooled effect sizes along with their respective 95% confidence intervals (CIs). We would like to highlight that this study has been registered with PROSPERO, and it can be identified by the registration number CRD42023484421.

Results: The study included twenty-four eligible studies. The results revealed that an increase of 10 μg/m³ in annual concentrations of PM₁, PM_2.5, PM₁₀, NO₂, SO₂, and O₃ was associated with a 29% increase in metabolic syndrome (MetS) risk for PM1 (OR = 1.29 [CI 1.07-1.54]), an 8% increase for PM2.5 (OR = 1.08 [CI 1.06-1.10]), a 17% increase for PM₁₀ (OR = 1.17 [CI 1.08-1.27]), a 24% increase for NO₂ (OR = 1.24 [CI 1.01-1.51]), a 19% increase for SO₂ (OR = 1.19 [CI 1.04-1.36]), and a 10% increase for O₃ (OR = 1.10 [CI 1.07-1.13]).

Conclusion: The findings of this study demonstrate a significant association between exposure to fine particulate matter (PM₁, PM_2.5, PM₁₀), nitrogen dioxide (NO₂), sulfur dioxide (SO₂), ozone (O₃), and the incidence of metabolic syndrome (MetS). Moreover, the results suggest that air pollution exposure could potentially contribute to the development of MetS in humans.

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暴露于各种空气污染物与代谢综合征风险之间的关系：系统回顾和荟萃分析。

背景：代谢综合征（MetS）是一种被广泛观察到的代谢紊乱疾病，在全球范围内发病率越来越高，导致了严重的社会后果。以往的研究分别进行了两项荟萃分析，以调查 MetS 与空气污染物之间的关系。然而，这些研究得出的结果相互矛盾，因此有必要进行彻底的系统回顾和荟萃分析，以重新评估不同空气污染物与 MetS 发病风险之间的联系：我们对截至 2023 年 10 月 9 日的相关文献进行了全面检索，检索数据库包括 PubMed、Embase、Cochrane Library 和 Web of Science。检索仅限于英文出版物。在对调查空气污染与 MetS 之间相关性的研究进行筛选后，我们利用随机效应模型计算了汇集效应大小及其各自的 95% 置信区间 (CI)。我们想强调的是，本研究已在 PROSPERO 注册，注册号为 CRD42023484421：研究包括 24 项符合条件的研究。结果显示，PM1、PM2.5、PM10、NO2、SO2 和 O3 的年浓度每增加 10 μg/m3 ，PM1 的代谢综合征（MetS）风险就会增加 29% （OR = 1.29 [CI 1.07-1.54]），PM2.5 的代谢综合征（MetS）风险就会增加 8% （OR = 1.08 [CI 1.06-1.10])、PM10 增加 17% (OR = 1.17 [CI 1.08-1.27])、NO2 增加 24% (OR = 1.24 [CI 1.01-1.51])、SO2 增加 19% (OR = 1.19 [CI 1.04-1.36])、O3 增加 10% (OR = 1.10 [CI 1.07-1.13])：本研究结果表明，暴露于细颗粒物（PM1、PM2.5、PM10）、二氧化氮（NO2）、二氧化硫（SO2）、臭氧（O3）与代谢综合征（MetS）的发病率之间存在显著关联。此外，研究结果表明，接触空气污染有可能导致人类患上代谢综合征。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Archives of Occupational and Environmental Health 医学-公共卫生、环境卫生与职业卫生

CiteScore

5.60

自引率

6.70%

发文量

127

审稿时长

3 months

期刊介绍： International Archives of Occupational and Environmental Health publishes Editorials, Review Articles, Original Articles, and Letters to the Editor. It welcomes any manuscripts dealing with occupational or ambient environmental problems, with a special interest in research at the interface of occupational health and clinical medicine. The scope ranges from Biological Monitoring to Dermatology, from Fibers and Dust to Human Toxicology, from Nanomaterials and Ultra-fine Dust to Night- and Shift Work, from Psycho-mental Distress and Burnout to Vibrations. A complete list of topics can be found on the right-hand side under For authors and editors. In addition, all papers should be based on present-day standards and relate to: -Clinical and epidemiological studies on morbidity and mortality -Clinical epidemiological studies on the parameters relevant to the estimation of health risks -Human experimental studies on environmental health effects. Animal experiments are only acceptable if relevant to pathogenic aspects. -Methods for studying the topics mentioned above.