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Ambient Ozone Pollution and Daily Mortality: A Nationwide Study in 272 Chinese Cities

BACKGROUND: Few large multicity studies have been conducted in developing countries to address the acute health effects of atmospheric ozone pollution. OBJECTIVE: We explored the associations between ozone and daily cause-specific mortality in China. METHODS: We performed a nationwide time-series an...

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Autores principales: Yin, Peng, Chen, Renjie, Wang, Lijun, Meng, Xia, Liu, Cong, Niu, Yue, Lin, Zhijing, Liu, Yunning, Liu, Jiangmei, Qi, Jinlei, You, Jinling, Zhou, Maigeng, Kan, Haidong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Environmental Health Perspectives 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5947936/
https://www.ncbi.nlm.nih.gov/pubmed/29212061
http://dx.doi.org/10.1289/EHP1849
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author Yin, Peng
Chen, Renjie
Wang, Lijun
Meng, Xia
Liu, Cong
Niu, Yue
Lin, Zhijing
Liu, Yunning
Liu, Jiangmei
Qi, Jinlei
You, Jinling
Zhou, Maigeng
Kan, Haidong
author_facet Yin, Peng
Chen, Renjie
Wang, Lijun
Meng, Xia
Liu, Cong
Niu, Yue
Lin, Zhijing
Liu, Yunning
Liu, Jiangmei
Qi, Jinlei
You, Jinling
Zhou, Maigeng
Kan, Haidong
author_sort Yin, Peng
collection PubMed
description BACKGROUND: Few large multicity studies have been conducted in developing countries to address the acute health effects of atmospheric ozone pollution. OBJECTIVE: We explored the associations between ozone and daily cause-specific mortality in China. METHODS: We performed a nationwide time-series analysis in 272 representative Chinese cities between 2013 and 2015. We used distributed lag models and over-dispersed generalized linear models to estimate the cumulative effects of ozone (lagged over 0–3 d) on mortality in each city, and we used hierarchical Bayesian models to combine the city-specific estimates. Regional, seasonal, and demographic heterogeneity were evaluated by meta-regression. RESULTS: At the national-average level, a [Formula: see text] increase in 8-h maximum ozone concentration was associated with 0.24% [95% posterior interval (PI): 0.13%, 0.35%], 0.27% (95% PI: 0.10%, 0.44%), 0.60% (95% PI: 0.08%, 1.11%), 0.24% (95% PI: 0.02%, 0.46%), and 0.29% (95% PI: 0.07%, 0.50%) higher daily mortality from all nonaccidental causes, cardiovascular diseases, hypertension, coronary diseases, and stroke, respectively. Associations between ozone and daily mortality due to respiratory and chronic obstructive pulmonary disease specifically were positive but imprecise and nonsignificant. There were no statistically significant differences in associations between ozone and nonaccidental mortality according to region, season, age, sex, or educational attainment. CONCLUSIONS: Our findings provide robust evidence of higher nonaccidental and cardiovascular mortality in association with short-term exposure to ambient ozone in China. https://doi.org/10.1289/EHP1849
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spelling pubmed-59479362018-05-16 Ambient Ozone Pollution and Daily Mortality: A Nationwide Study in 272 Chinese Cities Yin, Peng Chen, Renjie Wang, Lijun Meng, Xia Liu, Cong Niu, Yue Lin, Zhijing Liu, Yunning Liu, Jiangmei Qi, Jinlei You, Jinling Zhou, Maigeng Kan, Haidong Environ Health Perspect Research BACKGROUND: Few large multicity studies have been conducted in developing countries to address the acute health effects of atmospheric ozone pollution. OBJECTIVE: We explored the associations between ozone and daily cause-specific mortality in China. METHODS: We performed a nationwide time-series analysis in 272 representative Chinese cities between 2013 and 2015. We used distributed lag models and over-dispersed generalized linear models to estimate the cumulative effects of ozone (lagged over 0–3 d) on mortality in each city, and we used hierarchical Bayesian models to combine the city-specific estimates. Regional, seasonal, and demographic heterogeneity were evaluated by meta-regression. RESULTS: At the national-average level, a [Formula: see text] increase in 8-h maximum ozone concentration was associated with 0.24% [95% posterior interval (PI): 0.13%, 0.35%], 0.27% (95% PI: 0.10%, 0.44%), 0.60% (95% PI: 0.08%, 1.11%), 0.24% (95% PI: 0.02%, 0.46%), and 0.29% (95% PI: 0.07%, 0.50%) higher daily mortality from all nonaccidental causes, cardiovascular diseases, hypertension, coronary diseases, and stroke, respectively. Associations between ozone and daily mortality due to respiratory and chronic obstructive pulmonary disease specifically were positive but imprecise and nonsignificant. There were no statistically significant differences in associations between ozone and nonaccidental mortality according to region, season, age, sex, or educational attainment. CONCLUSIONS: Our findings provide robust evidence of higher nonaccidental and cardiovascular mortality in association with short-term exposure to ambient ozone in China. https://doi.org/10.1289/EHP1849 Environmental Health Perspectives 2017-11-21 /pmc/articles/PMC5947936/ /pubmed/29212061 http://dx.doi.org/10.1289/EHP1849 Text en EHP is an open-access journal published with support from the National Institute of Environmental Health Sciences, National Institutes of Health. All content is public domain unless otherwise noted.
spellingShingle Research
Yin, Peng
Chen, Renjie
Wang, Lijun
Meng, Xia
Liu, Cong
Niu, Yue
Lin, Zhijing
Liu, Yunning
Liu, Jiangmei
Qi, Jinlei
You, Jinling
Zhou, Maigeng
Kan, Haidong
Ambient Ozone Pollution and Daily Mortality: A Nationwide Study in 272 Chinese Cities
title Ambient Ozone Pollution and Daily Mortality: A Nationwide Study in 272 Chinese Cities
title_full Ambient Ozone Pollution and Daily Mortality: A Nationwide Study in 272 Chinese Cities
title_fullStr Ambient Ozone Pollution and Daily Mortality: A Nationwide Study in 272 Chinese Cities
title_full_unstemmed Ambient Ozone Pollution and Daily Mortality: A Nationwide Study in 272 Chinese Cities
title_short Ambient Ozone Pollution and Daily Mortality: A Nationwide Study in 272 Chinese Cities
title_sort ambient ozone pollution and daily mortality: a nationwide study in 272 chinese cities
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5947936/
https://www.ncbi.nlm.nih.gov/pubmed/29212061
http://dx.doi.org/10.1289/EHP1849
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