Abstract:Objective To study the influence of ambient atmospheric PM2.5 on outpatient volume of paediatric respiratory system diseases in Jinhua City. Methods Generalized additive model (GAM) based on Poisson distribution was used to analyze the association between PM2.5 concentration during 2015-2016 and outpatient volume of respiratory system diseases in children aged 0-14 years as well as the related lag patterns after controlling meteorological variables, long term trend and the “day of the week” effect. Results The daily average mass concentration of atmospheric PM2.5 in Jinhua City during 2015-2016 was 50.32 μg/m3. There was a certain correlation between the PM2.5 concentration and the daily average values of five meteorological factors. Spearman correlation analysis showed that the daily average mass concentration of atmospheric PM2.5 was positively correlated with the outpatient volume of paediatric respiratory system diseases (r=0.298, P<0.05). The GAM revealed that there was the hysteresis effect on influence of atmospheric PM2.5 on daily outpatient volume of paediatric respiratory system diseases, which reached the strongest effect on the first day. An increase in atmospheric PM2.5 mass concentration by 10 μg/m3 increased the outpatient volume of respiratory system diseases by 0.048,8%(95%CI:0.030 1%-0.059 5%). Conclusions The increment of PM2.5 concentration can aggravate the risk of suffering from paediatric respiratory system diseases in Jinhua City; and hence, it is necessary to adopt corresponding measures to protect susceptible groups.
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