Wang Xuying, Li Guoxing, Jin Xiaobin, Mu Jing, Pan Jie, Liang Fengchao, Tian Lin, Chen Shi, Guo Qun, Dong Wentan, Pan Xiaochuan
Department of Occupational and Environmental Health, School of Public Health, Health Science Center, Peking University, Beijing 100191, China.
Zhonghua Yu Fang Yi Xue Za Zhi. 2016 Jan;50(1):73-8. doi: 10.3760/cma.j.issn.0253-9624.2016.01.013.
To explore the concentration-response relationship between ambient concentration of PM2.5 and daily total hospital emergency room visits in Beijing during 2012 and 2013. This study also examined the effects of ambient PM2.5 during heavy polluted days on emergency room visits compared with the light polluted days.
We collected the daily meteorological factors monitoring data and concentrations of air pollutants in Beijing during October 1, 2012 to December 31, 2013. We also collected the daily emergency room visits from a tertiary hospital in Beijing in the same time period. Generalized additive model was fitted to estimate the association between the ambient PM2.5 and the hospital emergency room visits, by using the smooth function to adjust long term trend of time, public holidays and day of week. In addition, constrained piecewise linear function was then used to estimate the excess risk for different segment of concentration-response function.
The annual average concentration of PM2.5 was 90.9 µg/m(3) during October 1, 2012 and December 31, 2013. There were total 64 260 cases for total emergency room visits, of which respiratory disease had 9 849 cases and cardiovascular disease had 11 168 cases. PM2.5 was positive related with PM10, NO2 and SO2. The corresponding correlation coefficients were 0.87, 0.78 and 0.62, respectively (P<0.05). And PM2.5 was positively related with relative humidity, with correlation coefficient 0.45 (P<0.05). But PM2.5 was negatively related with mean temperature (r=-0.17, P< 0.05) and wind speed (- 0.32, P<0.05). In the single polluted model, after adjusting the effects of temperature, relative humidity and wind, every 10 µg/m(3) increase of concentration of ambient PM2.5, the corresponding excess risk of daily emergency room visits was 0.25% (95% CI: 0.07-0.43). In the two-pollutant model PM2.5+SO2 and PM2.5+NO2, every 10 µg/m(3) increase of concentration of ambient PM2.5, the corresponding excess risk of daily emergency room visits were 1.07% (95%CI:0.83-1.30) and 0.56% (95%CI: 0.32-0.80) respectively, which were higher than the effect in single pollutant model. Average concentration of ambient particulate matters (PM2.5) was 204.16 µg/m(3) during heavy pollution, higher than control period (85.24 µg/m(3)). When PM2.5 as the primary air pollutants during heavy polluted days, we observed a significant increase in emergency room visits, and the odd ratios was 1.16 (95% CI:1.09-1.22).
There were positive correlation between high concentration of ambient particulate matters (PM2.5) and increasing daily emergency room visits. Especially during the heavy polluted days, the effects of elevated concentration of PM2.5 on hospital emergency room visits were much larger.
探讨2012年至2013年北京地区环境空气中细颗粒物(PM2.5)浓度与每日医院急诊总就诊人次之间的浓度 - 反应关系。本研究还比较了重污染日与轻污染日环境PM2.5对急诊就诊人次的影响。
收集2012年10月1日至2013年12月31日北京地区的每日气象因素监测数据和空气污染物浓度。同时收集同期北京某三甲医院的每日急诊就诊人次。采用广义相加模型估计环境PM2.5与医院急诊就诊人次之间的关联,通过平滑函数调整时间的长期趋势、公共假日和星期几的影响。此外,使用受限分段线性函数估计浓度 - 反应函数不同区间的超额风险。
2012年10月1日至2013年12月31日期间,PM2.5年平均浓度为90.9μg/m³。急诊总就诊人次共64260例,其中呼吸系统疾病9849例,心血管系统疾病11168例。PM2.5与PM10、NO2和SO2呈正相关,相应的相关系数分别为0.87、0.78和0.62(P<0.05)。PM2.5与相对湿度呈正相关,相关系数为0.45(P<0.05)。但PM2.5与平均气温(r = -0.17,P<0.05)和风速(-0.32,P<0.05)呈负相关。在单污染物模型中,调整温度、相对湿度和风速的影响后,环境PM2.5浓度每升高10μg/m³,每日急诊就诊人次的相应超额风险为0.25%(95%CI:0.07 - 0.43)。在双污染物模型PM2.5 + SO2和PM2.5 + NO2中,环境PM2.5浓度每升高10μg/m³,每日急诊就诊人次的相应超额风险分别为1.07%(95%CI:0.83 - 1.30)和0.56%(95%CI:0.32 - 0.80),均高于单污染物模型中的效应。重污染期间环境颗粒物(PM2.5)平均浓度为204.16μg/m³,高于对照期(85.24μg/m³)。当PM2.5为重污染日的主要空气污染物时,急诊就诊人次显著增加,比值比为1.16(95%CI:1.09 - 1.22)。
环境颗粒物(PM2.5)高浓度与每日急诊就诊人次增加呈正相关。特别是在重污染日,PM2.5浓度升高对医院急诊就诊人次的影响更大。