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Concentration-Response Relationship between PM(2.5) and Daily Respiratory Deaths in China: A Systematic Review and Metaregression Analysis of Time-Series Studies
The association between the particulate matters with aerodynamic diameter ≤ 2.5 μm (PM(2.5)) and daily respiratory deaths, particularly the concentration-response pattern, has not been fully examined and established in China. We conducted a systematic review of time-series studies to compile informa...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5662824/ https://www.ncbi.nlm.nih.gov/pubmed/29124065 http://dx.doi.org/10.1155/2017/5806185 |
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author | Ren, Mengying Fang, Xin Li, Mei Sun, Sun Pei, Lu Xu, Qun Ye, Xiaofei Cao, Yang |
author_facet | Ren, Mengying Fang, Xin Li, Mei Sun, Sun Pei, Lu Xu, Qun Ye, Xiaofei Cao, Yang |
author_sort | Ren, Mengying |
collection | PubMed |
description | The association between the particulate matters with aerodynamic diameter ≤ 2.5 μm (PM(2.5)) and daily respiratory deaths, particularly the concentration-response pattern, has not been fully examined and established in China. We conducted a systematic review of time-series studies to compile information on the associations between PM(2.5) concentration and respiratory deaths and used metaregression to assess the concentration-response relationship. Out of 1,957 studies screened, eleven articles in English and two articles in Chinese met the eligibility criteria. For single-day lags, per 10 μg/m(3) increase in PM(2.5) concentration was associated with 0.30 [95% confidence interval (CI): 0.10, 0.50] percent increase in daily respiratory deaths; for multiday lags, the corresponding increase in respiratory deaths was 0.69 (95% CI: 0.55, 0.83) percent. Difference in the effects was observed between the northern cities and the south cities in China. No statistically significant concentration-response relationship between PM(2.5) concentrations and their effects was found. With increasingly wider location coverage for PM(2.5) data, it is crucial to further investigate the concentration-response pattern of PM(2.5) effects on respiratory and other cause-specific mortality for the refinement and adaptation of global and national air quality guidelines and targets. |
format | Online Article Text |
id | pubmed-5662824 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-56628242017-11-09 Concentration-Response Relationship between PM(2.5) and Daily Respiratory Deaths in China: A Systematic Review and Metaregression Analysis of Time-Series Studies Ren, Mengying Fang, Xin Li, Mei Sun, Sun Pei, Lu Xu, Qun Ye, Xiaofei Cao, Yang Biomed Res Int Review Article The association between the particulate matters with aerodynamic diameter ≤ 2.5 μm (PM(2.5)) and daily respiratory deaths, particularly the concentration-response pattern, has not been fully examined and established in China. We conducted a systematic review of time-series studies to compile information on the associations between PM(2.5) concentration and respiratory deaths and used metaregression to assess the concentration-response relationship. Out of 1,957 studies screened, eleven articles in English and two articles in Chinese met the eligibility criteria. For single-day lags, per 10 μg/m(3) increase in PM(2.5) concentration was associated with 0.30 [95% confidence interval (CI): 0.10, 0.50] percent increase in daily respiratory deaths; for multiday lags, the corresponding increase in respiratory deaths was 0.69 (95% CI: 0.55, 0.83) percent. Difference in the effects was observed between the northern cities and the south cities in China. No statistically significant concentration-response relationship between PM(2.5) concentrations and their effects was found. With increasingly wider location coverage for PM(2.5) data, it is crucial to further investigate the concentration-response pattern of PM(2.5) effects on respiratory and other cause-specific mortality for the refinement and adaptation of global and national air quality guidelines and targets. Hindawi 2017 2017-10-16 /pmc/articles/PMC5662824/ /pubmed/29124065 http://dx.doi.org/10.1155/2017/5806185 Text en Copyright © 2017 Mengying Ren et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Ren, Mengying Fang, Xin Li, Mei Sun, Sun Pei, Lu Xu, Qun Ye, Xiaofei Cao, Yang Concentration-Response Relationship between PM(2.5) and Daily Respiratory Deaths in China: A Systematic Review and Metaregression Analysis of Time-Series Studies |
title | Concentration-Response Relationship between PM(2.5) and Daily Respiratory Deaths in China: A Systematic Review and Metaregression Analysis of Time-Series Studies |
title_full | Concentration-Response Relationship between PM(2.5) and Daily Respiratory Deaths in China: A Systematic Review and Metaregression Analysis of Time-Series Studies |
title_fullStr | Concentration-Response Relationship between PM(2.5) and Daily Respiratory Deaths in China: A Systematic Review and Metaregression Analysis of Time-Series Studies |
title_full_unstemmed | Concentration-Response Relationship between PM(2.5) and Daily Respiratory Deaths in China: A Systematic Review and Metaregression Analysis of Time-Series Studies |
title_short | Concentration-Response Relationship between PM(2.5) and Daily Respiratory Deaths in China: A Systematic Review and Metaregression Analysis of Time-Series Studies |
title_sort | concentration-response relationship between pm(2.5) and daily respiratory deaths in china: a systematic review and metaregression analysis of time-series studies |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5662824/ https://www.ncbi.nlm.nih.gov/pubmed/29124065 http://dx.doi.org/10.1155/2017/5806185 |
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