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Threshold Effects of PM(2.5) Exposure on Particle-Related Mortality in China

Ambient air pollution from energy use and other sources is a major environmental risk factor in the incidence and progression of serious diseases, such as cardiovascular and respiratory diseases. This study elucidates the health effects of energy consumption from air pollution in China based on mult...

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Autores principales: Tran, Bao-Linh, Chang, Ching-Cheng, Hsu, Chia-Sheng, Chen, Chi-Chung, Tseng, Wei-Chun, Hsu, Shih-Hsun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6801731/
https://www.ncbi.nlm.nih.gov/pubmed/31546750
http://dx.doi.org/10.3390/ijerph16193549
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author Tran, Bao-Linh
Chang, Ching-Cheng
Hsu, Chia-Sheng
Chen, Chi-Chung
Tseng, Wei-Chun
Hsu, Shih-Hsun
author_facet Tran, Bao-Linh
Chang, Ching-Cheng
Hsu, Chia-Sheng
Chen, Chi-Chung
Tseng, Wei-Chun
Hsu, Shih-Hsun
author_sort Tran, Bao-Linh
collection PubMed
description Ambient air pollution from energy use and other sources is a major environmental risk factor in the incidence and progression of serious diseases, such as cardiovascular and respiratory diseases. This study elucidates the health effects of energy consumption from air pollution in China based on multiple threshold effects of the population-weighted exposure to PM(2.5) (fine particles less than 2.5 microns in diameter) on particle-related mortality rate. We firstly estimate the causal relationship between coal consumption and PM(2.5) in China for 2004–2010 using a panel regression model. Panel threshold models are applied to access the non-linear relationships between PM(2.5) and cause-specific mortality rates that indicate the health effects are dependent on the PM(2.5) ranges. By combining these steps, we calculate the health impacts of coal consumption based on threshold effects of PM(2.5). We find that a 1% coal consumption increase induces a 0.23% increase in PM(2.5). A triple threshold effect is found between PM(2.5) and cardiovascular mortality; for example, increasing PM(2.5) exposure causes cardiovascular mortality rate to increase when PM(2.5) lies in 17.7–21.6 μg/m(3) and 21.6–34.3 μg/m(3), with the estimated increments being 0.81% and 0.26%, respectively, corresponding to 1% PM(2.5) increase. A single threshold effect of SO(2) on respiratory mortality rate is identified and allows the estimation of the mortality effects of PM(2.5) regarding the two regimes of SO(2). Finally, we access the health impacts of coal consumption under specific estimated thresholds. This study provides a better understanding of sources contributing to related-air pollution mortality. The multi-threshold effect of PM(2.5) could be considered for further applications in harmonizing emission standards in China and other developing countries.
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spelling pubmed-68017312019-10-31 Threshold Effects of PM(2.5) Exposure on Particle-Related Mortality in China Tran, Bao-Linh Chang, Ching-Cheng Hsu, Chia-Sheng Chen, Chi-Chung Tseng, Wei-Chun Hsu, Shih-Hsun Int J Environ Res Public Health Article Ambient air pollution from energy use and other sources is a major environmental risk factor in the incidence and progression of serious diseases, such as cardiovascular and respiratory diseases. This study elucidates the health effects of energy consumption from air pollution in China based on multiple threshold effects of the population-weighted exposure to PM(2.5) (fine particles less than 2.5 microns in diameter) on particle-related mortality rate. We firstly estimate the causal relationship between coal consumption and PM(2.5) in China for 2004–2010 using a panel regression model. Panel threshold models are applied to access the non-linear relationships between PM(2.5) and cause-specific mortality rates that indicate the health effects are dependent on the PM(2.5) ranges. By combining these steps, we calculate the health impacts of coal consumption based on threshold effects of PM(2.5). We find that a 1% coal consumption increase induces a 0.23% increase in PM(2.5). A triple threshold effect is found between PM(2.5) and cardiovascular mortality; for example, increasing PM(2.5) exposure causes cardiovascular mortality rate to increase when PM(2.5) lies in 17.7–21.6 μg/m(3) and 21.6–34.3 μg/m(3), with the estimated increments being 0.81% and 0.26%, respectively, corresponding to 1% PM(2.5) increase. A single threshold effect of SO(2) on respiratory mortality rate is identified and allows the estimation of the mortality effects of PM(2.5) regarding the two regimes of SO(2). Finally, we access the health impacts of coal consumption under specific estimated thresholds. This study provides a better understanding of sources contributing to related-air pollution mortality. The multi-threshold effect of PM(2.5) could be considered for further applications in harmonizing emission standards in China and other developing countries. MDPI 2019-09-22 2019-10 /pmc/articles/PMC6801731/ /pubmed/31546750 http://dx.doi.org/10.3390/ijerph16193549 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tran, Bao-Linh
Chang, Ching-Cheng
Hsu, Chia-Sheng
Chen, Chi-Chung
Tseng, Wei-Chun
Hsu, Shih-Hsun
Threshold Effects of PM(2.5) Exposure on Particle-Related Mortality in China
title Threshold Effects of PM(2.5) Exposure on Particle-Related Mortality in China
title_full Threshold Effects of PM(2.5) Exposure on Particle-Related Mortality in China
title_fullStr Threshold Effects of PM(2.5) Exposure on Particle-Related Mortality in China
title_full_unstemmed Threshold Effects of PM(2.5) Exposure on Particle-Related Mortality in China
title_short Threshold Effects of PM(2.5) Exposure on Particle-Related Mortality in China
title_sort threshold effects of pm(2.5) exposure on particle-related mortality in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6801731/
https://www.ncbi.nlm.nih.gov/pubmed/31546750
http://dx.doi.org/10.3390/ijerph16193549
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