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Short-Term Effects of Ambient Air Pollution on Hospitalization for Respiratory Disease in Taiyuan, China: A Time-Series Analysis

In this study, we estimated the short-term effects of ambient air pollution on respiratory disease hospitalization in Taiyuan, China. Daily data of respiratory disease hospitalization, daily concentration of ambient air pollutants and meteorological factors from 1 October 2014 to 30 September 2017 i...

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Detalles Bibliográficos
Autores principales: Luo, Lisha, Zhang, Yunquan, Jiang, Junfeng, Luan, Hanghang, Yu, Chuanhua, Nan, Peihong, Luo, Bin, You, Mao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210308/
https://www.ncbi.nlm.nih.gov/pubmed/30275384
http://dx.doi.org/10.3390/ijerph15102160
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author Luo, Lisha
Zhang, Yunquan
Jiang, Junfeng
Luan, Hanghang
Yu, Chuanhua
Nan, Peihong
Luo, Bin
You, Mao
author_facet Luo, Lisha
Zhang, Yunquan
Jiang, Junfeng
Luan, Hanghang
Yu, Chuanhua
Nan, Peihong
Luo, Bin
You, Mao
author_sort Luo, Lisha
collection PubMed
description In this study, we estimated the short-term effects of ambient air pollution on respiratory disease hospitalization in Taiyuan, China. Daily data of respiratory disease hospitalization, daily concentration of ambient air pollutants and meteorological factors from 1 October 2014 to 30 September 2017 in Taiyuan were included in our study. We conducted a time-series study design and applied a generalized additive model to evaluate the association between every 10-μg/m(3) increment of air pollutants and percent increase of respiratory disease hospitalization. A total of 127,565 respiratory disease hospitalization cases were included in this study during the present period. In single-pollutant models, the effect values in multi-day lags were greater than those in single-day lags. PM(2.5) at lag02 days, SO(2) at lag03 days, PM(10) and NO(2) at lag05 days were observed to be strongly and significantly associated with respiratory disease hospitalization. No significant association was found between O(3) and respiratory disease hospitalization. SO(2) and NO(2) were still significantly associated with hospitalization after adjusting for PM(2.5) or PM(10) into two-pollutant models. Females and younger population for respiratory disease were more vulnerable to air pollution than males and older groups. Therefore, some effective measures should be taken to strengthen the management of the ambient air pollutants, especially SO(2) and NO(2), and to enhance the protection of the high-risk population from air pollutants, thereby reducing the burden of respiratory disease caused by ambient air pollution.
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spelling pubmed-62103082018-11-02 Short-Term Effects of Ambient Air Pollution on Hospitalization for Respiratory Disease in Taiyuan, China: A Time-Series Analysis Luo, Lisha Zhang, Yunquan Jiang, Junfeng Luan, Hanghang Yu, Chuanhua Nan, Peihong Luo, Bin You, Mao Int J Environ Res Public Health Article In this study, we estimated the short-term effects of ambient air pollution on respiratory disease hospitalization in Taiyuan, China. Daily data of respiratory disease hospitalization, daily concentration of ambient air pollutants and meteorological factors from 1 October 2014 to 30 September 2017 in Taiyuan were included in our study. We conducted a time-series study design and applied a generalized additive model to evaluate the association between every 10-μg/m(3) increment of air pollutants and percent increase of respiratory disease hospitalization. A total of 127,565 respiratory disease hospitalization cases were included in this study during the present period. In single-pollutant models, the effect values in multi-day lags were greater than those in single-day lags. PM(2.5) at lag02 days, SO(2) at lag03 days, PM(10) and NO(2) at lag05 days were observed to be strongly and significantly associated with respiratory disease hospitalization. No significant association was found between O(3) and respiratory disease hospitalization. SO(2) and NO(2) were still significantly associated with hospitalization after adjusting for PM(2.5) or PM(10) into two-pollutant models. Females and younger population for respiratory disease were more vulnerable to air pollution than males and older groups. Therefore, some effective measures should be taken to strengthen the management of the ambient air pollutants, especially SO(2) and NO(2), and to enhance the protection of the high-risk population from air pollutants, thereby reducing the burden of respiratory disease caused by ambient air pollution. MDPI 2018-10-01 2018-10 /pmc/articles/PMC6210308/ /pubmed/30275384 http://dx.doi.org/10.3390/ijerph15102160 Text en © 2018 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
Luo, Lisha
Zhang, Yunquan
Jiang, Junfeng
Luan, Hanghang
Yu, Chuanhua
Nan, Peihong
Luo, Bin
You, Mao
Short-Term Effects of Ambient Air Pollution on Hospitalization for Respiratory Disease in Taiyuan, China: A Time-Series Analysis
title Short-Term Effects of Ambient Air Pollution on Hospitalization for Respiratory Disease in Taiyuan, China: A Time-Series Analysis
title_full Short-Term Effects of Ambient Air Pollution on Hospitalization for Respiratory Disease in Taiyuan, China: A Time-Series Analysis
title_fullStr Short-Term Effects of Ambient Air Pollution on Hospitalization for Respiratory Disease in Taiyuan, China: A Time-Series Analysis
title_full_unstemmed Short-Term Effects of Ambient Air Pollution on Hospitalization for Respiratory Disease in Taiyuan, China: A Time-Series Analysis
title_short Short-Term Effects of Ambient Air Pollution on Hospitalization for Respiratory Disease in Taiyuan, China: A Time-Series Analysis
title_sort short-term effects of ambient air pollution on hospitalization for respiratory disease in taiyuan, china: a time-series analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210308/
https://www.ncbi.nlm.nih.gov/pubmed/30275384
http://dx.doi.org/10.3390/ijerph15102160
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