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Association of Air Pollution and Mortality of Acute Lower Respiratory Tract Infections in Shenyang, China: A Time Series Analysis Study

BACKGROUND: We aimed to evaluate the risk factors of the daily mortality associated with air pollution causing acute lower respiratory tract infections. METHODS: We applied a short time series analysis to the air pollution record, meteorological data and 133 non-accidental death data in Shengyang, C...

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Autores principales: GUO, Jie, MA, Mingyue, XIAO, Chunling, ZHANG, Chunqing, CHEN, Jianping, LIN, Hong, DU, Yiming, LIU, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tehran University of Medical Sciences 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6174054/
https://www.ncbi.nlm.nih.gov/pubmed/30320000
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author GUO, Jie
MA, Mingyue
XIAO, Chunling
ZHANG, Chunqing
CHEN, Jianping
LIN, Hong
DU, Yiming
LIU, Min
author_facet GUO, Jie
MA, Mingyue
XIAO, Chunling
ZHANG, Chunqing
CHEN, Jianping
LIN, Hong
DU, Yiming
LIU, Min
author_sort GUO, Jie
collection PubMed
description BACKGROUND: We aimed to evaluate the risk factors of the daily mortality associated with air pollution causing acute lower respiratory tract infections. METHODS: We applied a short time series analysis to the air pollution record, meteorological data and 133 non-accidental death data in Shengyang, China, in 2013–2015. After controlling the seasonality, day of week and weather conditions, the group employed an over-dispersed Possion generalized addictive model to discuss the associations among different variables, then performed the stratified analysis according to age, gender, and season. RESULTS: Mean concentrations of particulate matter with aerodynamic diameters of < 10 μm (PM(10)) and < 2.5 μm (PM(2.5)), sulfur dioxide (SO(2)), nitrogen dioxide (NO(2)), and ozone (O(3)) were 122.4, 74.8, 79.4, 47.7, and 86.2 μg/m(3), respectively. An increase of 10 μg/m(3) in the 8-day moving average concentrations of PM(10), PM(2.5), SO(2), NO(2), and O(3) corresponded to 0.18% (95% confidence interval [CI]: 0.10%, 0.26%), 0.21% (95% CI: 0.11%, 0.31%), 0.16% (95% CI: 0.04%, 0.30%), 0.43% (95% CI: 0.07%, 0.90%), and 0.10% (95% CI: −0.08%, 0.31%) increase in the daily mortality. The effects of air pollution lasted 9 days (lag 0–8), and they were more statistically significant in the elderly than in other age groups. CONCLUSION: These findings clarified the burden of air pollution on the morbidity of acute lower respiratory tract infections and emphasized the urgency of the control and prevention of air pollution and respiratory diseases in China.
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spelling pubmed-61740542018-10-12 Association of Air Pollution and Mortality of Acute Lower Respiratory Tract Infections in Shenyang, China: A Time Series Analysis Study GUO, Jie MA, Mingyue XIAO, Chunling ZHANG, Chunqing CHEN, Jianping LIN, Hong DU, Yiming LIU, Min Iran J Public Health Original Article BACKGROUND: We aimed to evaluate the risk factors of the daily mortality associated with air pollution causing acute lower respiratory tract infections. METHODS: We applied a short time series analysis to the air pollution record, meteorological data and 133 non-accidental death data in Shengyang, China, in 2013–2015. After controlling the seasonality, day of week and weather conditions, the group employed an over-dispersed Possion generalized addictive model to discuss the associations among different variables, then performed the stratified analysis according to age, gender, and season. RESULTS: Mean concentrations of particulate matter with aerodynamic diameters of < 10 μm (PM(10)) and < 2.5 μm (PM(2.5)), sulfur dioxide (SO(2)), nitrogen dioxide (NO(2)), and ozone (O(3)) were 122.4, 74.8, 79.4, 47.7, and 86.2 μg/m(3), respectively. An increase of 10 μg/m(3) in the 8-day moving average concentrations of PM(10), PM(2.5), SO(2), NO(2), and O(3) corresponded to 0.18% (95% confidence interval [CI]: 0.10%, 0.26%), 0.21% (95% CI: 0.11%, 0.31%), 0.16% (95% CI: 0.04%, 0.30%), 0.43% (95% CI: 0.07%, 0.90%), and 0.10% (95% CI: −0.08%, 0.31%) increase in the daily mortality. The effects of air pollution lasted 9 days (lag 0–8), and they were more statistically significant in the elderly than in other age groups. CONCLUSION: These findings clarified the burden of air pollution on the morbidity of acute lower respiratory tract infections and emphasized the urgency of the control and prevention of air pollution and respiratory diseases in China. Tehran University of Medical Sciences 2018-09 /pmc/articles/PMC6174054/ /pubmed/30320000 Text en Copyright© Iranian Public Health Association & Tehran University of Medical Sciences http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
GUO, Jie
MA, Mingyue
XIAO, Chunling
ZHANG, Chunqing
CHEN, Jianping
LIN, Hong
DU, Yiming
LIU, Min
Association of Air Pollution and Mortality of Acute Lower Respiratory Tract Infections in Shenyang, China: A Time Series Analysis Study
title Association of Air Pollution and Mortality of Acute Lower Respiratory Tract Infections in Shenyang, China: A Time Series Analysis Study
title_full Association of Air Pollution and Mortality of Acute Lower Respiratory Tract Infections in Shenyang, China: A Time Series Analysis Study
title_fullStr Association of Air Pollution and Mortality of Acute Lower Respiratory Tract Infections in Shenyang, China: A Time Series Analysis Study
title_full_unstemmed Association of Air Pollution and Mortality of Acute Lower Respiratory Tract Infections in Shenyang, China: A Time Series Analysis Study
title_short Association of Air Pollution and Mortality of Acute Lower Respiratory Tract Infections in Shenyang, China: A Time Series Analysis Study
title_sort association of air pollution and mortality of acute lower respiratory tract infections in shenyang, china: a time series analysis study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6174054/
https://www.ncbi.nlm.nih.gov/pubmed/30320000
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