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Short-term exposure to sulfur dioxide and the occurrence of chronic obstructive pulmonary disease: An updated systematic review and meta-analysis based on risk of bias and certainty of evidence

Authors :
Xingye Zhou
Xiaoxu Wang
Qianqian Shen
Jian Ma
Xiong Cai
Haizhen Liu
Jianhui Yan
Huawen Xu
Yanping Wang
Source :
Ecotoxicology and Environmental Safety, Vol 284, Iss , Pp 116888- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

Several studies have documented a relationship between short-term exposure to atmospheric sulfur dioxide (SO2) and chronic obstructive pulmonary disease (COPD). However, findings vary across different regions. This meta-analysis employed a random-effects model to calculate the combined risk estimate for each 10-μg/m3 increase in ambient SO2 concentration. Subgroup analysis aimed to identify sources of heterogeneity. To assess potential bias, studies were evaluated using a domain-based assessment tool developed by the World Health Organization. Sensitivity analyses, based on bias risk, explored how model assumptions influenced associations. An evidence certainty framework was used to evaluate overall evidence quality. The study protocol was registered with PROSPERO (CRD42023446823). We thoroughly reviewed 191 full-text articles, ultimately including 15 in the meta-analysis. The pooled relative risk for COPD was 1.26 (95 % CI 0.94–1.70) per 10-μg/m3 increase in ambient SO2. Eleven studies were deemed high risk due to inadequate handling of missing data. Overall evidence certainty was rated as medium. Given SO2's significant public health implications, continuous monitoring is crucial. Future research should include countries in Africa and Oceania to enhance global understanding of atmospheric SO2-related health issues.

Details

Language :
English
ISSN :
01476513
Volume :
284
Issue :
116888-
Database :
Directory of Open Access Journals
Journal :
Ecotoxicology and Environmental Safety
Publication Type :
Academic Journal
Accession number :
edsdoj.9e82c2d7186a400595b263f48a517cc5
Document Type :
article
Full Text :
https://doi.org/10.1016/j.ecoenv.2024.116888