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Associations between Coarse Particulate Matter Air Pollution and Cause-Specific Mortality: A Nationwide Analysis in 272 Chinese Cities

BACKGROUND: Coarse particulate matter with aerodynamic diameter between 2.5 and [Formula: see text] ([Formula: see text]) air pollution is a severe environmental problem in developing countries, but its challenges to public health were rarely evaluated. OBJECTIVE: We aimed to investigate the associa...

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Autores principales: Chen, Renjie, Yin, Peng, Meng, Xia, Wang, Lijun, Liu, Cong, Niu, Yue, Liu, Yunning, Liu, Jiangmei, Qi, Jinlei, You, Jinling, Kan, Haidong, Zhou, Maigeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Environmental Health Perspectives 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6378682/
https://www.ncbi.nlm.nih.gov/pubmed/30702928
http://dx.doi.org/10.1289/EHP2711
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author Chen, Renjie
Yin, Peng
Meng, Xia
Wang, Lijun
Liu, Cong
Niu, Yue
Liu, Yunning
Liu, Jiangmei
Qi, Jinlei
You, Jinling
Kan, Haidong
Zhou, Maigeng
author_facet Chen, Renjie
Yin, Peng
Meng, Xia
Wang, Lijun
Liu, Cong
Niu, Yue
Liu, Yunning
Liu, Jiangmei
Qi, Jinlei
You, Jinling
Kan, Haidong
Zhou, Maigeng
author_sort Chen, Renjie
collection PubMed
description BACKGROUND: Coarse particulate matter with aerodynamic diameter between 2.5 and [Formula: see text] ([Formula: see text]) air pollution is a severe environmental problem in developing countries, but its challenges to public health were rarely evaluated. OBJECTIVE: We aimed to investigate the associations between day-to-day changes in [Formula: see text] and cause-specific mortality in China. METHODS: We conducted a nationwide daily time-series analysis in 272 main Chinese cities from 2013 to 2015. The associations between [Formula: see text] concentrations and mortality were analyzed in each city using overdispersed generalized additive models. Two-stage Bayesian hierarchical models were used to estimate national and regional average associations, and random-effect models were used to pool city-specific concentration–response curves. Two-pollutant models were adjusted for fine particles with aerodynamic diameter [Formula: see text] ([Formula: see text]) or gaseous pollutants. RESULTS: Overall, we observed positive and approximately linear concentration–response associations between [Formula: see text] and daily mortality. A [Formula: see text] increase in [Formula: see text] was associated with higher mortality due to nonaccidental causes [0.23%; 95% posterior interval (PI): 0.13, 0.33], cardiovascular diseases (CVDs; 0.25%; 95% PI: 0.13, 0.37), coronary heart disease (CHD; 0.21%; 95% PI: 0.05, 0.36), stroke (0.21%; 95% PI: 0.08, 0.35), respiratory diseases (0.26%; 95% PI: 0.07, 0.46), and chronic obstructive pulmonary disease (COPD; 0.34%; 95% PI: 0.12, 0.57). Associations were stronger for cities in southern vs. northern China, with significant differences for total and cardiovascular mortality. Associations with [Formula: see text] were of similar magnitude to those for [Formula: see text] in both single- and two-pollutant models with mutual adjustment. Associations were robust to adjustment for gaseous pollutants other than nitrogen dioxide and sulfur dioxide. Meta-regression indicated that a larger positive correlation between [Formula: see text] and [Formula: see text] predicted stronger city-specific associations between [Formula: see text] and total mortality. CONCLUSIONS: This analysis showed significant associations between short-term [Formula: see text] exposure and daily nonaccidental and cardiopulmonary mortality based on data from 272 cities located throughout China. Associations appeared to be independent of exposure to [Formula: see text] , carbon monoxide, and ozone. https://doi.org/10.1289/EHP2711
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spelling pubmed-63786822019-05-07 Associations between Coarse Particulate Matter Air Pollution and Cause-Specific Mortality: A Nationwide Analysis in 272 Chinese Cities Chen, Renjie Yin, Peng Meng, Xia Wang, Lijun Liu, Cong Niu, Yue Liu, Yunning Liu, Jiangmei Qi, Jinlei You, Jinling Kan, Haidong Zhou, Maigeng Environ Health Perspect Research BACKGROUND: Coarse particulate matter with aerodynamic diameter between 2.5 and [Formula: see text] ([Formula: see text]) air pollution is a severe environmental problem in developing countries, but its challenges to public health were rarely evaluated. OBJECTIVE: We aimed to investigate the associations between day-to-day changes in [Formula: see text] and cause-specific mortality in China. METHODS: We conducted a nationwide daily time-series analysis in 272 main Chinese cities from 2013 to 2015. The associations between [Formula: see text] concentrations and mortality were analyzed in each city using overdispersed generalized additive models. Two-stage Bayesian hierarchical models were used to estimate national and regional average associations, and random-effect models were used to pool city-specific concentration–response curves. Two-pollutant models were adjusted for fine particles with aerodynamic diameter [Formula: see text] ([Formula: see text]) or gaseous pollutants. RESULTS: Overall, we observed positive and approximately linear concentration–response associations between [Formula: see text] and daily mortality. A [Formula: see text] increase in [Formula: see text] was associated with higher mortality due to nonaccidental causes [0.23%; 95% posterior interval (PI): 0.13, 0.33], cardiovascular diseases (CVDs; 0.25%; 95% PI: 0.13, 0.37), coronary heart disease (CHD; 0.21%; 95% PI: 0.05, 0.36), stroke (0.21%; 95% PI: 0.08, 0.35), respiratory diseases (0.26%; 95% PI: 0.07, 0.46), and chronic obstructive pulmonary disease (COPD; 0.34%; 95% PI: 0.12, 0.57). Associations were stronger for cities in southern vs. northern China, with significant differences for total and cardiovascular mortality. Associations with [Formula: see text] were of similar magnitude to those for [Formula: see text] in both single- and two-pollutant models with mutual adjustment. Associations were robust to adjustment for gaseous pollutants other than nitrogen dioxide and sulfur dioxide. Meta-regression indicated that a larger positive correlation between [Formula: see text] and [Formula: see text] predicted stronger city-specific associations between [Formula: see text] and total mortality. CONCLUSIONS: This analysis showed significant associations between short-term [Formula: see text] exposure and daily nonaccidental and cardiopulmonary mortality based on data from 272 cities located throughout China. Associations appeared to be independent of exposure to [Formula: see text] , carbon monoxide, and ozone. https://doi.org/10.1289/EHP2711 Environmental Health Perspectives 2019-01-31 /pmc/articles/PMC6378682/ /pubmed/30702928 http://dx.doi.org/10.1289/EHP2711 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
Chen, Renjie
Yin, Peng
Meng, Xia
Wang, Lijun
Liu, Cong
Niu, Yue
Liu, Yunning
Liu, Jiangmei
Qi, Jinlei
You, Jinling
Kan, Haidong
Zhou, Maigeng
Associations between Coarse Particulate Matter Air Pollution and Cause-Specific Mortality: A Nationwide Analysis in 272 Chinese Cities
title Associations between Coarse Particulate Matter Air Pollution and Cause-Specific Mortality: A Nationwide Analysis in 272 Chinese Cities
title_full Associations between Coarse Particulate Matter Air Pollution and Cause-Specific Mortality: A Nationwide Analysis in 272 Chinese Cities
title_fullStr Associations between Coarse Particulate Matter Air Pollution and Cause-Specific Mortality: A Nationwide Analysis in 272 Chinese Cities
title_full_unstemmed Associations between Coarse Particulate Matter Air Pollution and Cause-Specific Mortality: A Nationwide Analysis in 272 Chinese Cities
title_short Associations between Coarse Particulate Matter Air Pollution and Cause-Specific Mortality: A Nationwide Analysis in 272 Chinese Cities
title_sort associations between coarse particulate matter air pollution and cause-specific mortality: a nationwide analysis in 272 chinese cities
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6378682/
https://www.ncbi.nlm.nih.gov/pubmed/30702928
http://dx.doi.org/10.1289/EHP2711
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