Chenchen Liu1, Yuewei Liu2, Yide Zhou3, Anhui Feng3, Chunhong Wang4, Tingming Shi5. 1. School of Health Sciences, Wuhan University, Wuhan 430071, DongHu Road 115, Wuhan, 430071, PR China; Hubei Provincial Key Laboratory for Applied Toxicology, Hubei Provincial Center for Disease Control and Prevention, 6 Zhuodaoquan North Road, Wuhan, Hubei, 430079, PR China. 2. Hubei Provincial Key Laboratory for Applied Toxicology, Hubei Provincial Center for Disease Control and Prevention, 6 Zhuodaoquan North Road, Wuhan, Hubei, 430079, PR China. 3. Shennongjia Center for Disease Control and Prevention, 30 Songbai Road, Songbai, Shennongjia, 442400, PR China. 4. School of Health Sciences, Wuhan University, Wuhan 430071, DongHu Road 115, Wuhan, 430071, PR China. 5. Hubei Provincial Key Laboratory for Applied Toxicology, Hubei Provincial Center for Disease Control and Prevention, 6 Zhuodaoquan North Road, Wuhan, Hubei, 430079, PR China. Electronic address: tmingshi@163.com.
Abstract
BACKGROUND: Many cities in China are currently experiencing severe air pollution due to modernization. Previous studies investigating the effects of air pollutants exposure were particularly conducted in severe air polluted area and studies in low pollution areas were sparse. METHODS: To quantitatively assess the short-term effects of ambient air pollutants (PM2.5, PM10, SO2, NO2, CO and O3) on outpatient visits in low pollution area, we conducted a time-series analysis from Jan 1, 2015 to Dec 31, 2016 in Shennongjia, China. Generalized additive model (GAM) was used to evaluate the influence of PM2.5 on daily hospital outpatient visits with different lag structures. We also conducted stratified analysis to explore the association between PM2.5 concentration and outpatient visits in different seasons. RESULTS: In the present study, per IQR increment of PM2.5, PM10, NO2, CO and O3 were related with 1.92% (0.76%-3.09%), 1.92% (0.77%-3.07%), 2.74% (95% CI: 1.65%-3.83%), 1.89% (95% CI: 0.68%-3.10%) and 2.30% (95% CI: 0.65%-3.95%) increase on respiratory outpatient visits. Significant associations were found between PM2.5, PM10, NO2 and respiratory outpatient visits at lag0:1, lag0:2 days. The effects of PM2.5 were more evident in the cool season than in the warm season. CONCLUSIONS: Our study showed that short-term exposures to PM2.5, PM10, NO2, CO and O3 were related with increased risk of outpatient visits of respiratory diseases, and highlighted the adverse effect of air pollutants exposure, especially PM2.5 exposure in cool season on health in low pollution area.
BACKGROUND: Many cities in China are currently experiencing severe air pollution due to modernization. Previous studies investigating the effects of air pollutants exposure were particularly conducted in severe air polluted area and studies in low pollution areas were sparse. METHODS: To quantitatively assess the short-term effects of ambient air pollutants (PM2.5, PM10, SO2, NO2, CO and O3) on outpatient visits in low pollution area, we conducted a time-series analysis from Jan 1, 2015 to Dec 31, 2016 in Shennongjia, China. Generalized additive model (GAM) was used to evaluate the influence of PM2.5 on daily hospital outpatient visits with different lag structures. We also conducted stratified analysis to explore the association between PM2.5 concentration and outpatient visits in different seasons. RESULTS: In the present study, per IQR increment of PM2.5, PM10, NO2, CO and O3 were related with 1.92% (0.76%-3.09%), 1.92% (0.77%-3.07%), 2.74% (95% CI: 1.65%-3.83%), 1.89% (95% CI: 0.68%-3.10%) and 2.30% (95% CI: 0.65%-3.95%) increase on respiratory outpatient visits. Significant associations were found between PM2.5, PM10, NO2 and respiratory outpatient visits at lag0:1, lag0:2 days. The effects of PM2.5 were more evident in the cool season than in the warm season. CONCLUSIONS: Our study showed that short-term exposures to PM2.5, PM10, NO2, CO and O3 were related with increased risk of outpatient visits of respiratory diseases, and highlighted the adverse effect of air pollutants exposure, especially PM2.5 exposure in cool season on health in low pollution area.
Authors: Zesheng Chen; Bin Wang; Yanlin Hu; Lan Dai; Yangming Liu; Jing Wang; Xueqin Cao; Yiming Wu; Ting Zhou; Xiuqing Cui; Tingming Shi Journal: Int J Environ Res Public Health Date: 2022-05-30 Impact factor: 4.614
Authors: Yueling Ma; Li Yue; Jiangtao Liu; Xiaotao He; Lanyu Li; Jingping Niu; Bin Luo Journal: BMC Public Health Date: 2020-06-02 Impact factor: 3.295