GE WenZhen; CHEN RenJie; SONG WeiMin; KAN HaiDong

doi:10.3967/0895-3988.2011.02.005

Daily Visibility and Hospital Admission in Shanghai, China

GE WenZhen, CHEN RenJie, SONG WeiMin, KAN HaiDong

文章导航 > Biomedical and Environmental Sciences > 2011 > 24(2): 117-121

GE WenZhen, CHEN RenJie, SONG WeiMin, KAN HaiDong. Daily Visibility and Hospital Admission in Shanghai, China[J]. Biomedical and Environmental Sciences, 2011, 24(2): 117-121. doi: 10.3967/0895-3988.2011.02.005

Citation:

GE WenZhen, CHEN RenJie, SONG WeiMin, KAN HaiDong. Daily Visibility and Hospital Admission in Shanghai, China[J]. Biomedical and Environmental Sciences, 2011, 24(2): 117-121. doi: 10.3967/0895-3988.2011.02.005

doi: 10.3967/0895-3988.2011.02.005

基金项目: the National Basic Research Program (973 program) of China(2011CB503802)%Gong-Yi Program of China Ministry of Environmental Protection(200809109)%National Natural Science Foundation of China(30800892)%Shanghai Pu Jiang Program(09PJ1401700)%Program for New Century Excellent Talents in University(NCET-09-0314)%National High Technology Research and Development Program of China (863 Program)(2007AA06Z409)

Daily Visibility and Hospital Admission in Shanghai, China

School of Public Health and Key Lab of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, China

Funds: the National Basic Research Program (973 program) of China(2011CB503802)%Gong-Yi Program of China Ministry of Environmental Protection(200809109)%National Natural Science Foundation of China(30800892)%Shanghai Pu Jiang Program(09PJ1401700)%Program for New Century Excellent Talents in University(NCET-09-0314)%National High Technology Research and Development Program of China (863 Program)(2007AA06Z409)

摘要: Objective The study is to investigate the associations between visibility, major air pollutants and daily counts of hospital admission in Shanghai, China. Methods Daily data on hospital admission, visibility, and air pollution during 2005-2008 were obtained from the Shanghai Insurance Bureau (SHIB), Shanghai Meteorological Bureau, and Shanghai Environmental Monitoring Center, respectively. The generalized additive model (GAM) with penalized splines was used to examine the associations between daily visibility and hospital admission. Results Among various pollutants, PM<,2.5> showed strongest correlation with visibility. Decreased visibility was significantly associated with increased risk of hospital admission in Shanghai. An inter-quartile range decrease in the 2-day (L01) moving average of visibility corresponded to 3.66% (95%Cl:1.02%, 6.31%), 4.06% (95%Cl:0.84%, 7.27%), and 4.32% (95%Cl:1.67%, 6.97%) increase of total, cardiovascular, and respiratory hospitalizations, respectively. Conclusion Our analyses provide the first piece of evidence in China, demonstrating that decreased visibility has an effect on hospital admission, and this finding strengthens the rationale for further limiting air pollution levels in Shanghai.
- /
- /
Abstract: Objective The study is to investigate the associations between visibility, major air pollutants and daily counts of hospital admission in Shanghai, China. Methods Daily data on hospital admission, visibility, and air pollution during 2005-2008 were obtained from the Shanghai Insurance Bureau (SHIB), Shanghai Meteorological Bureau, and Shanghai Environmental Monitoring Center, respectively. The generalized additive model (GAM) with penalized splines was used to examine the associations between daily visibility and hospital admission. Results Among various pollutants, PM<,2.5> showed strongest correlation with visibility. Decreased visibility was significantly associated with increased risk of hospital admission in Shanghai. An inter-quartile range decrease in the 2-day (L01) moving average of visibility corresponded to 3.66% (95%Cl:1.02%, 6.31%), 4.06% (95%Cl:0.84%, 7.27%), and 4.32% (95%Cl:1.67%, 6.97%) increase of total, cardiovascular, and respiratory hospitalizations, respectively. Conclusion Our analyses provide the first piece of evidence in China, demonstrating that decreased visibility has an effect on hospital admission, and this finding strengthens the rationale for further limiting air pollution levels in Shanghai.
- Air pollution /
- Hospital admission /
- Visibility

[1]	DING Zhong Ao, ZHANG Li Ying, LI Rui Ying, NIU Miao Miao, ZHAO Bo, DONG Xiao Kang, LIU Xiao Tian, HOU Jian, MAO Zhen Xing, WANG Chong Jian. Contribution of Ambient Air Pollution on Risk Assessment of Type 2 Diabetes Mellitus via Explainable Machine Learning . Biomedical and Environmental Sciences, 2023, 36(6): 557-560. doi: 10.3967/bes2023.069
[2]	DIAO Li Jie, GAO Zhi Hao, JIANG Yi Chen, CHEN Zuo Sen, LI Ning, MENG Xian Feng, XU Xin, LI Jing. Linear and Interactive Effects of Air Pollution and Diurnal Temperature Range on COPD Mortality in Weifang, China: A Time Series Analysis . Biomedical and Environmental Sciences, 2021, 34(8): 662-666. doi: 10.3967/bes2021.093
[3]	WU Jun Hui, WU Yao, WANG Zi Jing, TIAN Yao Hua, WU Yi Qun, WU Tao, WANG Meng Ying, WANG Xiao Wen, WANG Jia Ting, HU Yong Hua. Ambient Particulate Matter Pollution and Hospital Visits for Cardiac Arrhythmia in Beijing, China . Biomedical and Environmental Sciences, 2021, 34(7): 562-566. doi: 10.3967/bes2021.077
[4]	WANG Xiao Wen, TIAN Yao Hua, CAO Ya Ying, SONG Jing, LI Man, WU Yao, WANG Meng Ying, HUANG Zhe, HU Yong Hua. Association between Fine Particulate Air Pollution and Outpatient Visits for Eczema in Beijing, China: A Time-series Analysis . Biomedical and Environmental Sciences, 2019, 32(8): 624-627. doi: 10.3967/bes2019.080
[5]	ZHANG Xin Sheng, LIU Ying Hua, ZHANG Yong, XU Qing, YU Xiao Ming, YANG Xue Yan, LIU Zhao, LI Hui Zi, LI Feng, XUE Chang Yong. Handgrip Strength as a Predictor of Nutritional Status in Chinese Elderly Inpatients at Hospital Admission . Biomedical and Environmental Sciences, 2017, 30(11): 802-810. doi: 10.3967/bes2017.108
[6]	LIAO Yu, XU Lin, LIN Xiao, HAO Yuan Tao. Temporal Trend in Lung Cancer Burden Attributed to Ambient Fine Particulate Matter in Guangzhou, China . Biomedical and Environmental Sciences, 2017, 30(10): 708-717. doi: 10.3967/bes2017.096
[7]	ZHANG Ying, WANG Shi Gong, MA Yu Xia, SHANG Ke Zheng, CHENG Yi Fan, LI Xu, NING Gui Cai, ZHAO Wen Jing, LI Nai Rong. Association between Ambient Air Pollution and Hospital Emergency Admissions for Respiratory and Cardiovascular Diseases in Beijing:a Time Series Study . Biomedical and Environmental Sciences, 2015, 28(5): 352-363. doi: 10.3967/bes2015.049
[8]	GUO Li Juan, ZHAO Ang, CHEN Ren Jie, KAN Hai Dong, KUANG Xing Ya. Association between Ambient Air Pollution and Outpatient Visits for Acute Bronchitis in a Chinese City . Biomedical and Environmental Sciences, 2014, 27(11): 833-840. doi: 10.3967/bes2014.121
[9]	WANG Min Zhen, ZHENG Shan, WANG Shi Gong, TAO Yan, SHANG Ke Zheng. The Weather Temperature and Air Pollution Interaction and Its Effect on Hospital Admissions due to Respiratory System Diseases in Western China . Biomedical and Environmental Sciences, 2013, 26(5): 403-407. doi: 10.3967/0895-3988.2013.05.011
[10]	WANG Qiang, BAI Xue Tao, XU Dong Qun, LI Hong, XU Chun Yu, FANG Jian Long. Association of Polymorphisms of STAT6 and SO2 with Chinese Childhood Asthma: a Case-control Study . Biomedical and Environmental Sciences, 2011, 24(6): 670-677. doi: 10.3967/0895-3988.2011.06.012
[11]	CHAN-GHONG CHEN, HAI-DONG KAN, CHENG HUANG, LI LI, YUN-HUI ZHANG, REN-JIE CHEN, BING-HENG CHEN. Impact of Ambient Air Pollution on Public Health under Various Traffic Policies in Shanghai,China . Biomedical and Environmental Sciences, 2009, 22(3): 210-215.
[12]	GUO-HAI CHEN, GUI-XIANG SONG, LI-LI JIANG, YUN-HUI ZHANG, NAI-QING ZHAO, BING-HENG CHEN, HAI-DONG KAN. Interaction Between Ambient Particles and Ozone and Its Effect on Daily Mortality . Biomedical and Environmental Sciences, 2007, 20(6): 502-505.
[13]	LI-LI JIANG, YUN-HUI ZHANG, GUI-XIANG SONG, GUO-HAI CHEN, BING-HENG CHEN, NAI-QING ZHAO, HAI-DONG KAN. A Time Series Analysis of Outdoor Air Pollution and Preterm Birth in Shanghai,China . Biomedical and Environmental Sciences, 2007, 20(5): 426-431.
[14]	YUN-HUI ZHANG, CHANG-HONG CHEN, GUO-HAI CHEN, GUI-XIANG SONG, BING-HENG CHEN, QING-YAN FU, HAI-DONG KAN. Application of DALYs in Measuring Health Effect of Ambient Air Pollution: A Case Study in Shanghai, China . Biomedical and Environmental Sciences, 2006, 19(4): 268-272.
[15]	WAN-NIAN LIANG, Min LIU, Qi Chen, ZE-JUN LIU, XIONG HE, YUE PAN, XUE-QIN XIE. Assessment of Impacts of Public Health Interventions on the SARS Epidemic in Beijing in Terms of the Intervals Between Its Symptom Onset, Hospital Admission, and Notification . Biomedical and Environmental Sciences, 2005, 18(3): 153-158.
[16]	HAI-DONG KAN, BING-HENG CHEN, CHANG-HONG CHEN, BING-YAN WANG, QING-YAN FU. Establishment of Exposure-response Functions of Air Particulate Matter and Adverse Health Outcomes in China and Worldwide . Biomedical and Environmental Sciences, 2005, 18(3): 159-163.
[17]	HAI-DONG KAN, BING-HENG CHEN, CHAO-WEI FU, Shun-Zhang Yu, LI-NA MU. Relationship Between Ambient Air Pollution and Daily Mortality of SARS in Beijing . Biomedical and Environmental Sciences, 2005, 18(1): 1-4.
[18]	YUE WAN, HONG-WEI YANG, TOSHIHIKO MASUI. Health and Economic Impacts of Air Pollution in China: A Comparison of the General Equilibrium Approach and Human Capital Approach . Biomedical and Environmental Sciences, 2005, 18(6): 427-441.
[19]	HAI-DONG KAN, BING-HENG CHEN. Statistical Distributions of Ambient Air Pollutants in Shanghai,China . Biomedical and Environmental Sciences, 2004, 17(3): 366-372.
[20]	DONG-QUN XU, WEN-LI ZHANG. Monitoring of Pollution of Air Fine Particles (PM2.5) and Study on Their Genetic Toxicity . Biomedical and Environmental Sciences, 2004, 17(4): 452-458.

点击查看大图

计量

文章访问数: 1334
HTML全文浏览量: 292
PDF下载量: 42
被引次数: 0

Daily Visibility and Hospital Admission in Shanghai, China

doi: 10.3967/0895-3988.2011.02.005

刊出日期: 2011-04-20

关键词:

Air pollution /

Hospital admission /

Visibility

摘要: Objective The study is to investigate the associations between visibility, major air pollutants and daily counts of hospital admission in Shanghai, China. Methods Daily data on hospital admission, visibility, and air pollution during 2005-2008 were obtained from the Shanghai Insurance Bureau (SHIB), Shanghai Meteorological Bureau, and Shanghai Environmental Monitoring Center, respectively. The generalized additive model (GAM) with penalized splines was used to examine the associations between daily visibility and hospital admission. Results Among various pollutants, PM<,2.5> showed strongest correlation with visibility. Decreased visibility was significantly associated with increased risk of hospital admission in Shanghai. An inter-quartile range decrease in the 2-day (L01) moving average of visibility corresponded to 3.66% (95%Cl:1.02%, 6.31%), 4.06% (95%Cl:0.84%, 7.27%), and 4.32% (95%Cl:1.67%, 6.97%) increase of total, cardiovascular, and respiratory hospitalizations, respectively. Conclusion Our analyses provide the first piece of evidence in China, demonstrating that decreased visibility has an effect on hospital admission, and this finding strengthens the rationale for further limiting air pollution levels in Shanghai.

English Abstract

Daily Visibility and Hospital Admission in Shanghai, China

School of Public Health and Key Lab of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, China

Publish Date: 2011-04-20

Keywords:

Abstract: Objective The study is to investigate the associations between visibility, major air pollutants and daily counts of hospital admission in Shanghai, China. Methods Daily data on hospital admission, visibility, and air pollution during 2005-2008 were obtained from the Shanghai Insurance Bureau (SHIB), Shanghai Meteorological Bureau, and Shanghai Environmental Monitoring Center, respectively. The generalized additive model (GAM) with penalized splines was used to examine the associations between daily visibility and hospital admission. Results Among various pollutants, PM<,2.5> showed strongest correlation with visibility. Decreased visibility was significantly associated with increased risk of hospital admission in Shanghai. An inter-quartile range decrease in the 2-day (L01) moving average of visibility corresponded to 3.66% (95%Cl:1.02%, 6.31%), 4.06% (95%Cl:0.84%, 7.27%), and 4.32% (95%Cl:1.67%, 6.97%) increase of total, cardiovascular, and respiratory hospitalizations, respectively. Conclusion Our analyses provide the first piece of evidence in China, demonstrating that decreased visibility has an effect on hospital admission, and this finding strengthens the rationale for further limiting air pollution levels in Shanghai.

Citation: