{"title":"Association between exposure to air pollution and risk of Dyssomnia: a systematic review and meta-analysis.","authors":"Zhiqiu Cao, Xintao Shi, Li Sun, Zhanhong Fan, Akinyemi Lydia Idowu, Feng Zhang","doi":"10.1007/s00420-025-02137-8","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Typically affecting people's quality of life, dyssomnia is among the most prevalent chronic illnesses worldwide. A positive correlation between air pollution and dyssomnia has been demonstrated by epidemiological research. However, no meta-analyses evaluating the relationship between the prevalence of dyssomnia in people of all ages and air pollutants (PM<sub>2.5</sub>, PM<sub>10</sub>, NO<sub>2</sub>, SO<sub>2</sub>, and O<sub>3</sub>) were found.</p><p><strong>Objectives: </strong>Conduct a meta-analysis utilizing data from current studies (until 2024) to provide reliable insights into the relationship between air pollution exposure and the likelihood of dyssomnia prevalence.</p><p><strong>Methods: </strong>We systematically searched three databases for studies on air pollution and dyssomnia up to January 15, 2024. Random-effects models were used to estimate the pooled odds ratios (ORs) and 95% confidence intervals (95% CIs). Subgroup analyses, funnel plots, and meta-regression analyses were also performed.</p><p><strong>Results: </strong>There were 11 studies from 4 different nations that involved 3,328,183 participants in total. The odds ratios (ORs) for PM<sub>2.5</sub> and PM<sub>10</sub> were 1.29 (1.16-1.44) and 1.13 (1.03-1.23) per 10 µg/m<sup>3</sup> increase in pollutants, respectively. The OR per 10 µg/m<sup>3</sup> increment of gaseous pollutants were 1.06 (1.00-1.12) for NO<sub>2</sub> and 1.16 (1.04-1.31) for O<sub>3</sub>. No significant association was observed between SO<sub>2</sub> and dyssomnia. Adults are more sensitive to air pollution than children or adolescents for that the effects of PM<sub>2.5</sub>、PM<sub>10</sub> and SO<sub>2</sub> were significantly stronger in adults than children or adolescents. The effect of air pollution on dyssomnia was more significant in developed countries than in developing countries. There was a difference in the subgroup test for PM<sub>10</sub> between developed and developing countries.</p><p><strong>Conclusion: </strong>This meta-analysis implies the relationship between the air pollution and dyssomnia. Economic status and age may influence the effect. It was suggested to provide guidance for disease prevention and explored potential avenues for further research.</p>","PeriodicalId":13761,"journal":{"name":"International Archives of Occupational and Environmental Health","volume":" ","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Archives of Occupational and Environmental Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s00420-025-02137-8","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Typically affecting people's quality of life, dyssomnia is among the most prevalent chronic illnesses worldwide. A positive correlation between air pollution and dyssomnia has been demonstrated by epidemiological research. However, no meta-analyses evaluating the relationship between the prevalence of dyssomnia in people of all ages and air pollutants (PM2.5, PM10, NO2, SO2, and O3) were found.
Objectives: Conduct a meta-analysis utilizing data from current studies (until 2024) to provide reliable insights into the relationship between air pollution exposure and the likelihood of dyssomnia prevalence.
Methods: We systematically searched three databases for studies on air pollution and dyssomnia up to January 15, 2024. Random-effects models were used to estimate the pooled odds ratios (ORs) and 95% confidence intervals (95% CIs). Subgroup analyses, funnel plots, and meta-regression analyses were also performed.
Results: There were 11 studies from 4 different nations that involved 3,328,183 participants in total. The odds ratios (ORs) for PM2.5 and PM10 were 1.29 (1.16-1.44) and 1.13 (1.03-1.23) per 10 µg/m3 increase in pollutants, respectively. The OR per 10 µg/m3 increment of gaseous pollutants were 1.06 (1.00-1.12) for NO2 and 1.16 (1.04-1.31) for O3. No significant association was observed between SO2 and dyssomnia. Adults are more sensitive to air pollution than children or adolescents for that the effects of PM2.5、PM10 and SO2 were significantly stronger in adults than children or adolescents. The effect of air pollution on dyssomnia was more significant in developed countries than in developing countries. There was a difference in the subgroup test for PM10 between developed and developing countries.
Conclusion: This meta-analysis implies the relationship between the air pollution and dyssomnia. Economic status and age may influence the effect. It was suggested to provide guidance for disease prevention and explored potential avenues for further research.
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.