Combined health effects of air pollutant mixtures on respiratory mortality using BKMR in Hangzhou, China.
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| Title: | Combined health effects of air pollutant mixtures on respiratory mortality using BKMR in Hangzhou, China. |
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| Authors: | Zhou, Xiaocong1 (AUTHOR), Fang, Zisi1 (AUTHOR), Lv, Ye2 (AUTHOR), Li, Chaokang2 (AUTHOR), Xu, Shanshan2 (AUTHOR), Cheng, Keyi2 (AUTHOR), Ren, Yanjun2 (AUTHOR), Lv, Na2 (AUTHOR), Gao, Bing2 (AUTHOR), Xu, Hong2 (AUTHOR) xuhong-123456@hotmail.com |
| Source: | Journal of the Air & Waste Management Association (Taylor & Francis Ltd). Dec2024, Vol. 74 Issue 12, p884-894. 11p. |
| Subject Terms: | *Air pollutants, *Air pollution, *Pollutants, Respiratory organs, Regression analysis |
| Abstract: | Previous research on respiratory system mortality primarily focused on understanding their combined effects and have neglected the fact that air pollution mixtures are interrelated. This study used Bayesian kernel machine regression (BKMR) to analyze the relationship between air pollutant mixtures and respiratory mortality in Hangzhou, China from 2014 to 2018. The results showed a significant association between pollutant mixtures and respiratory system mortality primarily driven by PM2.5 and SO2. The joint exposure of air pollutants was positively correlated with respiratory system mortality at lag 01 and lag 02 days. The estimated joint effects of log-transformed mixture air pollution exposure on log-transformed respiratory system mortality increased from −0.02 (95% CI: −0.08–0.02) and −0.01 (95% CI: −0.05–0.04) at the 25th percentile to 0.06 (95% CI: 0.01–0.12) and 0.04 (95% CI: −0.001, 0.09) at the 75th percentile. Additionally, there was evidence of an interaction between O3 and PM10. This study confirms that exposure to multiple pollutants is a significant public health problem facing the Hangzhou population given the compounded effect proven with regression analysis, while furthermore, the control of PM2.5 and SO2 also represents a serious concern. Implications: Evidence indicates interactions between O3 and PM10. This study demonstrates that exposure to multiple pollutants exerts combined effects on the public health of the Hangzhou population, highlighting the importance of controlling PM2.5 and SO2. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of the Air & Waste Management Association (Taylor & Francis Ltd) is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | GreenFILE |
| FullText | Text: Availability: 0 |
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| Header | DbId: 8gh DbLabel: GreenFILE An: 181053827 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Combined health effects of air pollutant mixtures on respiratory mortality using BKMR in Hangzhou, China. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhou%2C+Xiaocong%22">Zhou, Xiaocong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fang%2C+Zisi%22">Fang, Zisi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lv%2C+Ye%22">Lv, Ye</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Chaokang%22">Li, Chaokang</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xu%2C+Shanshan%22">Xu, Shanshan</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cheng%2C+Keyi%22">Cheng, Keyi</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ren%2C+Yanjun%22">Ren, Yanjun</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lv%2C+Na%22">Lv, Na</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gao%2C+Bing%22">Gao, Bing</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xu%2C+Hong%22">Xu, Hong</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> xuhong-123456@hotmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+the+Air+%26+Waste+Management+Association+%28Taylor+%26+Francis+Ltd%29%22">Journal of the Air & Waste Management Association (Taylor & Francis Ltd)</searchLink>. Dec2024, Vol. 74 Issue 12, p884-894. 11p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Air+pollutants%22">Air pollutants</searchLink><br />*<searchLink fieldCode="DE" term="%22Air+pollution%22">Air pollution</searchLink><br />*<searchLink fieldCode="DE" term="%22Pollutants%22">Pollutants</searchLink><br /><searchLink fieldCode="DE" term="%22Respiratory+organs%22">Respiratory organs</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Previous research on respiratory system mortality primarily focused on understanding their combined effects and have neglected the fact that air pollution mixtures are interrelated. This study used Bayesian kernel machine regression (BKMR) to analyze the relationship between air pollutant mixtures and respiratory mortality in Hangzhou, China from 2014 to 2018. The results showed a significant association between pollutant mixtures and respiratory system mortality primarily driven by PM2.5 and SO2. The joint exposure of air pollutants was positively correlated with respiratory system mortality at lag 01 and lag 02 days. The estimated joint effects of log-transformed mixture air pollution exposure on log-transformed respiratory system mortality increased from −0.02 (95% CI: −0.08–0.02) and −0.01 (95% CI: −0.05–0.04) at the 25th percentile to 0.06 (95% CI: 0.01–0.12) and 0.04 (95% CI: −0.001, 0.09) at the 75th percentile. Additionally, there was evidence of an interaction between O3 and PM10. This study confirms that exposure to multiple pollutants is a significant public health problem facing the Hangzhou population given the compounded effect proven with regression analysis, while furthermore, the control of PM2.5 and SO2 also represents a serious concern. Implications: Evidence indicates interactions between O3 and PM10. This study demonstrates that exposure to multiple pollutants exerts combined effects on the public health of the Hangzhou population, highlighting the importance of controlling PM2.5 and SO2. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of the Air & Waste Management Association (Taylor & Francis Ltd) is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/10962247.2024.2411033 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 884 Subjects: – SubjectFull: Air pollutants Type: general – SubjectFull: Air pollution Type: general – SubjectFull: Pollutants Type: general – SubjectFull: Respiratory organs Type: general – SubjectFull: Regression analysis Type: general Titles: – TitleFull: Combined health effects of air pollutant mixtures on respiratory mortality using BKMR in Hangzhou, China. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhou, Xiaocong – PersonEntity: Name: NameFull: Fang, Zisi – PersonEntity: Name: NameFull: Lv, Ye – PersonEntity: Name: NameFull: Li, Chaokang – PersonEntity: Name: NameFull: Xu, Shanshan – PersonEntity: Name: NameFull: Cheng, Keyi – PersonEntity: Name: NameFull: Ren, Yanjun – PersonEntity: Name: NameFull: Lv, Na – PersonEntity: Name: NameFull: Gao, Bing – PersonEntity: Name: NameFull: Xu, Hong IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 10962247 Numbering: – Type: volume Value: 74 – Type: issue Value: 12 Titles: – TitleFull: Journal of the Air & Waste Management Association (Taylor & Francis Ltd) Type: main |
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