Objectives To investigate the effects of main air pollutants on outpatient visits of respiratory system diseases in Xigu district of Lanzhou.
Methods Daily outpatient visits data of respiratory system was collected from January 1, 2016 to December 31, 2017 in 2 monitored hospitals in Xigu district, and environmental monitoring data was collected for the same period. Rank correlation was used to analyze the relationships between air pollutants and different meteorological factors. Single factor and multifactor generalized additive model were used to analyze the influence of main air pollutants on the outpatient visits respiratory system disease in Xigu district.
Results From January 1, 2016 to December 31, 2017, the average daily outpatient visits number of the monitoring hospital's respiratory system disease was 98 person/time, and the quartile spacing was 62 person/time. Spearman correlation result showed that the correlations between humidity and NO2, CO and temperature were not statistically significant. Other air pollutants and meteorological factors were correlated and statistically significant. Univariate generalized additive model analysis showed that SO2, NO2, CO, PM10 and PM2.5 had the greatest impact on respiratory outpatient volume when the delay was 2 days, 1 day, 1 day, 5 days and 6 days respectively. RR and 95%CI were 1.032 5 (1.026 1, 1.039 0), 1.032 0 (1.028 6, 1.035 5), 3.039 4 (2.617 7, 3.529 2), 1.002 1 (1.001 4, 1.002 9), 1.014 3 (1.011 8, 1.016 7), respectively. Under the multivariate generalized additive model, the RR values of SO2, NO2, CO, PM10 and PM2.5 were 1.009 6 (1.000 7, 1.018 6), 1.005 5 (1.000 2, 1.010 9), 1.107 2 (0.812 5, 1.508 6), 1.002 2 (1.000 7, 1.003 8), and 1.007 7 (1.000 9, 1.014 6), respectively. However, the effect of CO on respiratory disease outpatient visits was not statistically significant.
Conclusions SO2, NO2, PM10 and PM2.5 will increase the risk of residents suffering from respiratory diseases.
DownLoad: