Using a generalized additive model to study the relationship between air pollution and outpatient visits for respiratory diseases in Longgang District of Shenzhen City
WANG Xun1, LIAO Yu-xue2, LIU Li-hong3, WANG Xiao-qian1, GUO Shu-yan1, HE Zhi-ming4, HE Hui5, LI Bin1
1. Longgang District Center for Disease Control and Prevention, Shenzhen, Guangdong 518172, China; 2. Shenzhen Municipal Center for Disease Control and Prevention, Shenzhen, Guangdong 518055, China; 3. The People’s Hospital of Longgang District, Shenzhen, Guangdong 518172, China; 4. Pingshan New District Center for Disease Control and Prevention, Shenzhen, Guangdong 518118, China; 5. The People’s Hospital of Shenzhen City, Shenzhen, Guangdong 518020, China
Abstract：Objective To explore the relationship between air pollution (including SO2, NO2, PM10 and PM2.5) and outpatient visits for respiratory diseases in Longgang District of Shenzhen City. Methods We collected the data regarding daily outpatient visits for respiratory diseases in two hospitals in Longgang District of Shenzhen City, daily air pollution data from Shenzhen Meteorological Bureau and daily meteorological data from Shenzhen Environmental Protection Bureau from January 1, 2013 to December 31, 2015. We performed time-series analysis using a generalized additive model (GAM), and then assessed the association and the lag effect between air pollution and hospital outpatient visits for respiratory diseases. Results The medians of SO2, NO2, PM10 and PM2.5 concentration were 8.08 μg/m3, 38.08 μg/m3, 46.05 μg/m3 and 31.04 μg/m3 respectively. The total outpatient visits of the involved hospitals during this three-year period were 549,169, with the median of 499 persons per day. The Results of GAM-based analysis indicated a positive association between three air pollutants (SO2, PM10 and PM2.5) and hospital outpatient visits for respiratory diseases. The effect of SO2 was the largest on lag two days (RR=1.030,7, 95%CI:1.015,7-1.045,9) and the ones of PM10 and PM2.5 were the largest on lag three days (PM10:RR=1.005,4, 95%CI:1.002, 8-1.008,0, PM2.5:RR=1.006,0, 95%CI:1.002,7-1.009,4). Conclusions The concentration of SO2, PM10 and PM2.5 was positively associated with hospital outpatient visits for respiratory diseases in Longgang District in this three-year period, and a lag effect was found in these associations.
王荀, 廖玉学, 刘丽红, 王小倩, 郭淑妍, 何志明, 何慧, 李斌. 深圳市龙岗区大气污染物与医院呼吸系统疾病门诊量的广义相加模型分析[J]. 实用预防医学, 2019, 26(1): 59-62.
WANG Xun, LIAO Yu-xue, LIU Li-hong, WANG Xiao-qian, GUO Shu-yan, HE Zhi-ming, HE Hui, LI Bin. Using a generalized additive model to study the relationship between air pollution and outpatient visits for respiratory diseases in Longgang District of Shenzhen City. , 2019, 26(1): 59-62.
2019, Vol. 26 
