Abstract:Objective To explore the correlation between air pollution and outpatient visits,and to provide evidence for health risk assessment of air pollutants and intervention. Methods The data of air pollutants and outpatient visits in 2016 in Zhoushan Hospital were collected,and the outpatient volume on the days when the concentration of air pollutants reached and exceeded the standard were compared. Spearman rank correlation analysis was used to explore the relationship between outpatient volume and the concentration of air pollutants. Results In 2016,the median(inter-quartile range)of daily outpatient volume in Zhoushan Hospital was 3 304(1 638)person-times. O3,PM2.5 and PM10 were the primary air pollutants in Zhoushan in 2016. The average daily outpatient volume of internal medicine,circulatory system,other diseases and all when the air was polluted at light level or above were higher than those when the air quality was good(P< 0.05). CO concentration was positively correlated with the average daily outpatient volume of respiratory system and circulatory system(P< 0.05),was negatively correlated with the average daily outpatient volume of all(P< 0.05). O3-8 h concentration was positively correlated with the average daily outpatient volume of internal medicine,other diseases and all(P< 0.05),and was negatively correlated with the average daily outpatient volume of respiratory system and pediatrics(P< 0.05). SO2 concentration was negatively correlated with the average daily outpatient volume of respiratory system,skin and subcutaneous tissue(P< 0.05). The concentration of NO2,PM10 and PM2.5 were positively correlated with the average daily outpatient volume of respiratory system and pediatrics(P< 0.05). Conclusion The main air pollutants in Zhoushan were O3,PM2.5 and PM10. When they exceed the limits,the outpatient volume would increase.
易井萍, 冯昶, 葛琪, 张永利. 舟山市空气污染物与医院门诊量的相关性研究[J]. 预防医学, 2019, 31(6): 573-577.
YI Jing-ping, FENG Chang, GE Qi, ZHANG Yong-li. The correlation between air pollutants and outpatient visits in Zhoushan. Preventive Medicine, 2019, 31(6): 573-577.
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