Systematic review and meta-analysis of studies between short-term exposure to ambient carbon monoxide and non-accidental, cardiovascular, and respiratory mortality in China
Although a growing number of original epidemiological studies imply a link between ambient pollution exposure and mortality risk, the findings associated with carbon monoxide (CO) exposure are inconsistent. Thus, we conducted a systematic review and meta-analysis of epidemiological studies to evalua...
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| Veröffentlicht in: | Environmental science and pollution research international 2022-05, Vol.29 (24), p.35707-35722 |
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| creator | Guo, Xianwei Song, Qiuxia Wang, Hao Li, Ning Su, Wanying Liang, Mingming Sun, Chenyu Ding, Xiuxiu Liang, Qiwei Sun, Yehuan |
| description | Although a growing number of original epidemiological studies imply a link between ambient pollution exposure and mortality risk, the findings associated with carbon monoxide (CO) exposure are inconsistent. Thus, we conducted a systematic review and meta-analysis of epidemiological studies to evaluate the correlations between ambient CO and non-accidental, cardiovascular, and respiratory mortality in China. Eight databases were searched from inception to 15 May 2021. A random-effect model was used to calculate the pooled relative risks (RRs) and 95% confidence intervals (CIs). Subgroup analyses as well as sensitivity analyses were performed. The
I
square value (
I
2
) was used to assess heterogeneity among different studies. The assessment of publication bias on included studies was examined by funnel plot and Egger’s test. The influence of a potential publication bias on findings was explored by using the trim-and-fill procedure. Ultimately, a total of 19 studies were included in our analysis. The pooled relative risk for each 1 mg/m
3
increase of ambient carbon monoxide was 1.0220 (95%CI: 1.0102–1.0339) for non-accidental mortality, 1.0304 (95%CI:1.0154–1.0457) for cardiovascular mortality, and 1.0318 (95%CI:1.0132–1.0506) for respiratory mortality. None of subgroup analyses could explain the source of heterogeneity. Exclusion of any single study did not materially alter the pooled effect estimates. Although it was suggestive of publication bias, findings were generally similar with principal findings when we explored the influence of a potential publication bias using the trim-and-fill method. Our meta-analysis demonstrated that exposure to ambient CO was positive with risk of deaths from all non-accidental causes, total cardiovascular, and respiratory diseases. Based on these findings, tougher intervention policies and initiatives to reduce the health effects of CO exposure should be established. |
| doi_str_mv | 10.1007/s11356-022-19464-9 |
| format | Article |
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I
square value (
I
2
) was used to assess heterogeneity among different studies. The assessment of publication bias on included studies was examined by funnel plot and Egger’s test. The influence of a potential publication bias on findings was explored by using the trim-and-fill procedure. Ultimately, a total of 19 studies were included in our analysis. The pooled relative risk for each 1 mg/m
3
increase of ambient carbon monoxide was 1.0220 (95%CI: 1.0102–1.0339) for non-accidental mortality, 1.0304 (95%CI:1.0154–1.0457) for cardiovascular mortality, and 1.0318 (95%CI:1.0132–1.0506) for respiratory mortality. None of subgroup analyses could explain the source of heterogeneity. Exclusion of any single study did not materially alter the pooled effect estimates. Although it was suggestive of publication bias, findings were generally similar with principal findings when we explored the influence of a potential publication bias using the trim-and-fill method. Our meta-analysis demonstrated that exposure to ambient CO was positive with risk of deaths from all non-accidental causes, total cardiovascular, and respiratory diseases. Based on these findings, tougher intervention policies and initiatives to reduce the health effects of CO exposure should be established.</description><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-022-19464-9</identifier><identifier>PMID: 35257337</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Air Pollutants - analysis ; Air Pollution - analysis ; Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; Bias ; Carbon Monoxide ; Cardiovascular diseases ; Confidence intervals ; Earth and Environmental Science ; Ecotoxicology ; Environment ; Environmental Chemistry ; Environmental Exposure - analysis ; Environmental Health ; Environmental science ; Epidemiology ; Exposure ; Health risks ; Heterogeneity ; Humans ; Meta-analysis ; Mortality ; Mortality risk ; Particulate Matter - analysis ; Respiratory diseases ; Respiratory Tract Diseases - etiology ; Review Article ; Risk assessment ; Sensitivity analysis ; Subgroups ; Systematic review ; Waste Water Technology ; Water Management ; Water Pollution Control</subject><ispartof>Environmental science and pollution research international, 2022-05, Vol.29 (24), p.35707-35722</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022</rights><rights>2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.</rights><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-83bb960e0ab04959e360dcceb382bb58b9ac3f8fd9b4dbc8be10fdca6eec2ed43</citedby><cites>FETCH-LOGICAL-c375t-83bb960e0ab04959e360dcceb382bb58b9ac3f8fd9b4dbc8be10fdca6eec2ed43</cites><orcidid>0000-0002-8651-8059</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11356-022-19464-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11356-022-19464-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35257337$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Guo, Xianwei</creatorcontrib><creatorcontrib>Song, Qiuxia</creatorcontrib><creatorcontrib>Wang, Hao</creatorcontrib><creatorcontrib>Li, Ning</creatorcontrib><creatorcontrib>Su, Wanying</creatorcontrib><creatorcontrib>Liang, Mingming</creatorcontrib><creatorcontrib>Sun, Chenyu</creatorcontrib><creatorcontrib>Ding, Xiuxiu</creatorcontrib><creatorcontrib>Liang, Qiwei</creatorcontrib><creatorcontrib>Sun, Yehuan</creatorcontrib><title>Systematic review and meta-analysis of studies between short-term exposure to ambient carbon monoxide and non-accidental, cardiovascular, and respiratory mortality in China</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><addtitle>Environ Sci Pollut Res Int</addtitle><description>Although a growing number of original epidemiological studies imply a link between ambient pollution exposure and mortality risk, the findings associated with carbon monoxide (CO) exposure are inconsistent. Thus, we conducted a systematic review and meta-analysis of epidemiological studies to evaluate the correlations between ambient CO and non-accidental, cardiovascular, and respiratory mortality in China. Eight databases were searched from inception to 15 May 2021. A random-effect model was used to calculate the pooled relative risks (RRs) and 95% confidence intervals (CIs). Subgroup analyses as well as sensitivity analyses were performed. The
I
square value (
I
2
) was used to assess heterogeneity among different studies. The assessment of publication bias on included studies was examined by funnel plot and Egger’s test. The influence of a potential publication bias on findings was explored by using the trim-and-fill procedure. Ultimately, a total of 19 studies were included in our analysis. The pooled relative risk for each 1 mg/m
3
increase of ambient carbon monoxide was 1.0220 (95%CI: 1.0102–1.0339) for non-accidental mortality, 1.0304 (95%CI:1.0154–1.0457) for cardiovascular mortality, and 1.0318 (95%CI:1.0132–1.0506) for respiratory mortality. None of subgroup analyses could explain the source of heterogeneity. Exclusion of any single study did not materially alter the pooled effect estimates. Although it was suggestive of publication bias, findings were generally similar with principal findings when we explored the influence of a potential publication bias using the trim-and-fill method. Our meta-analysis demonstrated that exposure to ambient CO was positive with risk of deaths from all non-accidental causes, total cardiovascular, and respiratory diseases. Based on these findings, tougher intervention policies and initiatives to reduce the health effects of CO exposure should be established.</description><subject>Air Pollutants - analysis</subject><subject>Air Pollution - analysis</subject><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Bias</subject><subject>Carbon Monoxide</subject><subject>Cardiovascular diseases</subject><subject>Confidence intervals</subject><subject>Earth and Environmental Science</subject><subject>Ecotoxicology</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Exposure - analysis</subject><subject>Environmental Health</subject><subject>Environmental science</subject><subject>Epidemiology</subject><subject>Exposure</subject><subject>Health risks</subject><subject>Heterogeneity</subject><subject>Humans</subject><subject>Meta-analysis</subject><subject>Mortality</subject><subject>Mortality 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Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Guo, Xianwei</au><au>Song, Qiuxia</au><au>Wang, Hao</au><au>Li, Ning</au><au>Su, Wanying</au><au>Liang, Mingming</au><au>Sun, Chenyu</au><au>Ding, Xiuxiu</au><au>Liang, Qiwei</au><au>Sun, Yehuan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Systematic review and meta-analysis of studies between short-term exposure to ambient carbon monoxide and non-accidental, cardiovascular, and respiratory mortality in China</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><addtitle>Environ Sci Pollut Res Int</addtitle><date>2022-05-01</date><risdate>2022</risdate><volume>29</volume><issue>24</issue><spage>35707</spage><epage>35722</epage><pages>35707-35722</pages><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>Although a growing number of original epidemiological studies imply a link between ambient pollution exposure and mortality risk, the findings associated with carbon monoxide (CO) exposure are inconsistent. Thus, we conducted a systematic review and meta-analysis of epidemiological studies to evaluate the correlations between ambient CO and non-accidental, cardiovascular, and respiratory mortality in China. Eight databases were searched from inception to 15 May 2021. A random-effect model was used to calculate the pooled relative risks (RRs) and 95% confidence intervals (CIs). Subgroup analyses as well as sensitivity analyses were performed. The
I
square value (
I
2
) was used to assess heterogeneity among different studies. The assessment of publication bias on included studies was examined by funnel plot and Egger’s test. The influence of a potential publication bias on findings was explored by using the trim-and-fill procedure. Ultimately, a total of 19 studies were included in our analysis. The pooled relative risk for each 1 mg/m
3
increase of ambient carbon monoxide was 1.0220 (95%CI: 1.0102–1.0339) for non-accidental mortality, 1.0304 (95%CI:1.0154–1.0457) for cardiovascular mortality, and 1.0318 (95%CI:1.0132–1.0506) for respiratory mortality. None of subgroup analyses could explain the source of heterogeneity. Exclusion of any single study did not materially alter the pooled effect estimates. Although it was suggestive of publication bias, findings were generally similar with principal findings when we explored the influence of a potential publication bias using the trim-and-fill method. Our meta-analysis demonstrated that exposure to ambient CO was positive with risk of deaths from all non-accidental causes, total cardiovascular, and respiratory diseases. Based on these findings, tougher intervention policies and initiatives to reduce the health effects of CO exposure should be established.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>35257337</pmid><doi>10.1007/s11356-022-19464-9</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0002-8651-8059</orcidid></addata></record> |
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| ispartof | Environmental science and pollution research international, 2022-05, Vol.29 (24), p.35707-35722 |
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| subjects | Air Pollutants - analysis Air Pollution - analysis Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Bias Carbon Monoxide Cardiovascular diseases Confidence intervals Earth and Environmental Science Ecotoxicology Environment Environmental Chemistry Environmental Exposure - analysis Environmental Health Environmental science Epidemiology Exposure Health risks Heterogeneity Humans Meta-analysis Mortality Mortality risk Particulate Matter - analysis Respiratory diseases Respiratory Tract Diseases - etiology Review Article Risk assessment Sensitivity analysis Subgroups Systematic review Waste Water Technology Water Management Water Pollution Control |
| title | Systematic review and meta-analysis of studies between short-term exposure to ambient carbon monoxide and non-accidental, cardiovascular, and respiratory mortality in China |
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