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PM(10) Exposure and Non-accidental Mortality in Asian Populations: A Meta-analysis of Time-series and Case-crossover Studies

OBJECTIVES: We investigated the association between particulate matter less than 10 µm in aerodynamic diameter (PM(10)) exposure and non-accidental mortality in Asian populations by meta-analysis, using both time-series and case-crossover analysis. METHODS: Among the 819 published studies searched f...

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Autores principales: Park, Hye Yin, Bae, Sanghyuk, Hong, Yun-Chul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society for Preventive Medicine 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3567321/
https://www.ncbi.nlm.nih.gov/pubmed/23407325
http://dx.doi.org/10.3961/jpmph.2013.46.1.10
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author Park, Hye Yin
Bae, Sanghyuk
Hong, Yun-Chul
author_facet Park, Hye Yin
Bae, Sanghyuk
Hong, Yun-Chul
author_sort Park, Hye Yin
collection PubMed
description OBJECTIVES: We investigated the association between particulate matter less than 10 µm in aerodynamic diameter (PM(10)) exposure and non-accidental mortality in Asian populations by meta-analysis, using both time-series and case-crossover analysis. METHODS: Among the 819 published studies searched from PubMed and EMBASE using key words related to PM(10) exposure and non-accidental mortality in Asian countries, 8 time-series and 4 case-crossover studies were selected for meta-analysis after exclusion by selection criteria. We obtained the relative risk (RR) and 95% confidence intervals (CI) of non-accidental mortality per 10 µg/m(3) increase of daily PM(10) from each study. We used Q statistics to test the heterogeneity of the results among the different studies and evaluated for publication bias using Begg funnel plot and Egger test. RESULTS: Testing for heterogeneity showed significance (p<0.001); thus, we applied a random-effects model. RR (95% CI) per 10 µg/m(3) increase of daily PM(10) for both the time-series and case-crossover studies combined, time-series studies relative risk only, and case-crossover studies only, were 1.0047 (1.0033 to 1.0062), 1.0057 (1.0029 to 1.0086), and 1.0027 (1.0010 to 1.0043), respectively. The non-significant Egger test suggested that this analysis was not likely to have a publication bias. CONCLUSIONS: We found a significant positive association between PM(10) exposure and non-accidental mortality among Asian populations. Continued investigations are encouraged to contribute to the health impact assessment and public health management of air pollution in Asian countries.
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spelling pubmed-35673212013-02-13 PM(10) Exposure and Non-accidental Mortality in Asian Populations: A Meta-analysis of Time-series and Case-crossover Studies Park, Hye Yin Bae, Sanghyuk Hong, Yun-Chul J Prev Med Public Health Original Article OBJECTIVES: We investigated the association between particulate matter less than 10 µm in aerodynamic diameter (PM(10)) exposure and non-accidental mortality in Asian populations by meta-analysis, using both time-series and case-crossover analysis. METHODS: Among the 819 published studies searched from PubMed and EMBASE using key words related to PM(10) exposure and non-accidental mortality in Asian countries, 8 time-series and 4 case-crossover studies were selected for meta-analysis after exclusion by selection criteria. We obtained the relative risk (RR) and 95% confidence intervals (CI) of non-accidental mortality per 10 µg/m(3) increase of daily PM(10) from each study. We used Q statistics to test the heterogeneity of the results among the different studies and evaluated for publication bias using Begg funnel plot and Egger test. RESULTS: Testing for heterogeneity showed significance (p<0.001); thus, we applied a random-effects model. RR (95% CI) per 10 µg/m(3) increase of daily PM(10) for both the time-series and case-crossover studies combined, time-series studies relative risk only, and case-crossover studies only, were 1.0047 (1.0033 to 1.0062), 1.0057 (1.0029 to 1.0086), and 1.0027 (1.0010 to 1.0043), respectively. The non-significant Egger test suggested that this analysis was not likely to have a publication bias. CONCLUSIONS: We found a significant positive association between PM(10) exposure and non-accidental mortality among Asian populations. Continued investigations are encouraged to contribute to the health impact assessment and public health management of air pollution in Asian countries. The Korean Society for Preventive Medicine 2013-01 2013-01-31 /pmc/articles/PMC3567321/ /pubmed/23407325 http://dx.doi.org/10.3961/jpmph.2013.46.1.10 Text en Copyright © 2013 The Korean Society for Preventive Medicine http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Park, Hye Yin
Bae, Sanghyuk
Hong, Yun-Chul
PM(10) Exposure and Non-accidental Mortality in Asian Populations: A Meta-analysis of Time-series and Case-crossover Studies
title PM(10) Exposure and Non-accidental Mortality in Asian Populations: A Meta-analysis of Time-series and Case-crossover Studies
title_full PM(10) Exposure and Non-accidental Mortality in Asian Populations: A Meta-analysis of Time-series and Case-crossover Studies
title_fullStr PM(10) Exposure and Non-accidental Mortality in Asian Populations: A Meta-analysis of Time-series and Case-crossover Studies
title_full_unstemmed PM(10) Exposure and Non-accidental Mortality in Asian Populations: A Meta-analysis of Time-series and Case-crossover Studies
title_short PM(10) Exposure and Non-accidental Mortality in Asian Populations: A Meta-analysis of Time-series and Case-crossover Studies
title_sort pm(10) exposure and non-accidental mortality in asian populations: a meta-analysis of time-series and case-crossover studies
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3567321/
https://www.ncbi.nlm.nih.gov/pubmed/23407325
http://dx.doi.org/10.3961/jpmph.2013.46.1.10
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