基于时序模型空气污染物对糖尿病日门诊量的影响

Air pollution on daily outpatient visits for diabetes based on time series model

目的通过分析空气质量对糖尿病门诊量的影响,为医院门诊糖尿病病人的管理提供参考。方法以2018年7月1日至2022年7月31日某院糖尿病门诊量为研究对象,结合该时间段的空气质量情况,采用分布滞后非线性模型分析空气质量与糖尿病就诊人数的相关性。结果大气中污染物PM_(2.5)、PM_(10)浓度的升高与增加糖尿病日门诊量的增加相关,且呈滞后效应。受高浓度的PM_(2.5)的影响,男性在第5 d(lag5)、女性在第6 d(lag6)日门诊量达到最大值。青中年人群日门诊量的累积效应不论是在低浓度PM_(2.5)还是高浓度PM_(2.5)暴露情况下,差异均无统计学意义(P>0.05)。而老年人群差异有统计意义(P<0.05),特别是暴露在高浓度PM_(2.5)情况下,日门诊量上升明显。结论空气中PM_(2.5)、PM_(10)等有害物质,会给糖尿病患者的日门诊量带来影响,会增加该类人群的就诊次数。

Objective To analyze the effect of air pollution on daily outpatient visits for diabetes,and to provide reference for the management of outpatients with diabetes.Methods Data on outpatient visits for diabetes in a hospital between July 1,2018 to July 31,2022 were collected.The correlation between air quality and daily outpatient visits due to diabetes was analyzed using distributed lag non-linear model(DLNM).Results The results showed that the increase in the concentrations of PM_(2.5)and PM_(10)in the air was related to the increase in the daily outpatient visits for diabetes,with a lagging effect.The accumulative effect in high PM_(2.5)concentration was statistically significant for both males and females,and the number of outpatients reached the maximum value at lag5 for males and at lag6 for females.The accumulative effect was not statistically significant either at low or high concentrations of PM_(2.5)in the young and middle-aged population.However,it was statistically significant in the elderly population,especially when exposed to high concentration of PM_(2.5),the daily outpatient visits increased significantly.Conclusion PM_(2.5),PM_(10)and other harmful pollutants in the air have an impact on the daily diabetic outpatients and increase their visits.