The impact of ambient ozone pollution on pneumonia: A nationwide time-series analysis
Few large multicity studies have assessed acute effect of tropospheric ozone pollution on pneumonia risk. We aimed to examine the relation between day-to-day changes in ozone concentrations and hospital admissions for pneumonia in China. We conducted a national time-series study in 184 major Chinese...
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Format: | Article |
Language: | English |
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Elsevier
2020-03-01
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Series: | Environment International |
Online Access: | http://www.sciencedirect.com/science/article/pii/S0160412019333197 |
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doaj-9cdfb70caadc44889f9fac24401ef88b |
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record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yaohua Tian Yiqun Wu Hui Liu Yaqin Si Yao Wu Xiaowen Wang Mengying Wang Junhui Wu Libo Chen Chen Wei Tao Wu Pei Gao Yonghua Hu |
spellingShingle |
Yaohua Tian Yiqun Wu Hui Liu Yaqin Si Yao Wu Xiaowen Wang Mengying Wang Junhui Wu Libo Chen Chen Wei Tao Wu Pei Gao Yonghua Hu The impact of ambient ozone pollution on pneumonia: A nationwide time-series analysis Environment International |
author_facet |
Yaohua Tian Yiqun Wu Hui Liu Yaqin Si Yao Wu Xiaowen Wang Mengying Wang Junhui Wu Libo Chen Chen Wei Tao Wu Pei Gao Yonghua Hu |
author_sort |
Yaohua Tian |
title |
The impact of ambient ozone pollution on pneumonia: A nationwide time-series analysis |
title_short |
The impact of ambient ozone pollution on pneumonia: A nationwide time-series analysis |
title_full |
The impact of ambient ozone pollution on pneumonia: A nationwide time-series analysis |
title_fullStr |
The impact of ambient ozone pollution on pneumonia: A nationwide time-series analysis |
title_full_unstemmed |
The impact of ambient ozone pollution on pneumonia: A nationwide time-series analysis |
title_sort |
impact of ambient ozone pollution on pneumonia: a nationwide time-series analysis |
publisher |
Elsevier |
series |
Environment International |
issn |
0160-4120 |
publishDate |
2020-03-01 |
description |
Few large multicity studies have assessed acute effect of tropospheric ozone pollution on pneumonia risk. We aimed to examine the relation between day-to-day changes in ozone concentrations and hospital admissions for pneumonia in China. We conducted a national time-series study in 184 major Chinese cities from 2014 to 2017. City-specific relation between ozone concentrations and pneumonia admissions was evaluated using an over-dispersed generalized additive model. Random-effects meta-analysis was conducted to pool the city-specific estimates. Two-pollutant models were fitted to test the robustness of the relations. We also investigated potential effect modifiers. Overall, we observed increased admissions for pneumonia associated with ozone exposure. The national-average estimates per 10-μg/m3 increase in ozone were 0.14% (95% CI: 0.03%–0.25%) at lag 0 day in the whole year, 0.30% (95% CI: 0.17%–0.43%) at lag 0 day in the warm season, and 0.20% (95% CI: 0.05%–0.34%) at lag 1 day in the cool season. Two-pollutant models indicated that the ozone effects were not confounded by PM2.5, SO2, NO2 or CO. The association between ozone and pneumonia was stronger in the elderly. Ozone levels and gross domestic product per capita reduced the effects of ozone, and smoking enhanced the effects of ozone. In conclusion, we estimated an increase in daily pneumonia admissions associated with ozone exposure in China. As the first national study in China to report acute effect of ozone on pneumonia hospitalizations, our findings are incredibly meaningful in terms of both ozone pollution related policy development and pneumonia prevention. Keywords: Air pollution, Pneumonia, Ozone, Time-series study |
url |
http://www.sciencedirect.com/science/article/pii/S0160412019333197 |
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doaj-9cdfb70caadc44889f9fac24401ef88b2020-11-25T02:36:51ZengElsevierEnvironment International0160-41202020-03-01136The impact of ambient ozone pollution on pneumonia: A nationwide time-series analysisYaohua Tian0Yiqun Wu1Hui Liu2Yaqin Si3Yao Wu4Xiaowen Wang5Mengying Wang6Junhui Wu7Libo Chen8Chen Wei9Tao Wu10Pei Gao11Yonghua Hu12Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, 430030 Wuhan, China; Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, 430030 Wuhan, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, 100191 Beijing, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, 100191 Beijing, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, 100191 Beijing, China; Medical Informatics Center, Peking University, No. 38 Xueyuan Road, 100191 Beijing, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, 100191 Beijing, China; Beijing HealthCom Data Technology Co. Ltd, No. 18 Fengtai North Road, 10/F Hengtai Plaza Block C, 100071 Beijing, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, 100191 Beijing, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, 100191 Beijing, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, 100191 Beijing, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, 100191 Beijing, ChinaBeijing HealthCom Data Technology Co. Ltd, No. 18 Fengtai North Road, 10/F Hengtai Plaza Block C, 100071 Beijing, ChinaBeijing HealthCom Data Technology Co. Ltd, No. 18 Fengtai North Road, 10/F Hengtai Plaza Block C, 100071 Beijing, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, 100191 Beijing, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, 100191 Beijing, China; Key Laboratory of Molecular Cardiovascular (Peking University), Ministry of Education, Beijing, China; Corresponding authors at: Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, 100191 Beijing, China.Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, 100191 Beijing, China; Medical Informatics Center, Peking University, No. 38 Xueyuan Road, 100191 Beijing, China; Corresponding authors at: Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, 100191 Beijing, China.Few large multicity studies have assessed acute effect of tropospheric ozone pollution on pneumonia risk. We aimed to examine the relation between day-to-day changes in ozone concentrations and hospital admissions for pneumonia in China. We conducted a national time-series study in 184 major Chinese cities from 2014 to 2017. City-specific relation between ozone concentrations and pneumonia admissions was evaluated using an over-dispersed generalized additive model. Random-effects meta-analysis was conducted to pool the city-specific estimates. Two-pollutant models were fitted to test the robustness of the relations. We also investigated potential effect modifiers. Overall, we observed increased admissions for pneumonia associated with ozone exposure. The national-average estimates per 10-μg/m3 increase in ozone were 0.14% (95% CI: 0.03%–0.25%) at lag 0 day in the whole year, 0.30% (95% CI: 0.17%–0.43%) at lag 0 day in the warm season, and 0.20% (95% CI: 0.05%–0.34%) at lag 1 day in the cool season. Two-pollutant models indicated that the ozone effects were not confounded by PM2.5, SO2, NO2 or CO. The association between ozone and pneumonia was stronger in the elderly. Ozone levels and gross domestic product per capita reduced the effects of ozone, and smoking enhanced the effects of ozone. In conclusion, we estimated an increase in daily pneumonia admissions associated with ozone exposure in China. As the first national study in China to report acute effect of ozone on pneumonia hospitalizations, our findings are incredibly meaningful in terms of both ozone pollution related policy development and pneumonia prevention. Keywords: Air pollution, Pneumonia, Ozone, Time-series studyhttp://www.sciencedirect.com/science/article/pii/S0160412019333197 |