Journal of Jilin University Medicine Edition ›› 2015, Vol. 41 ›› Issue (01): 190-194.doi: 10.13481/j.1671-587x.20150137

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Analysis on correlation between dust events and number of outpatients with childhood respiratory disorders

LIU Xiaodan1, SHEN Yali1, XU Linyan1, DU Kening2   

  1. 1. Department of Pediatrics, School of Nursing, Jilin University, Changchun 130021, China;
    2. Department of Nursing, Changchun Children's Hospital, Changchun 130051, China
  • Received:2014-06-11 Published:2015-01-30

Abstract:

Objective To understand the effect of dust events on the health of respiratory system of children, and to provide reference basis for the prevention and therapy of childhood respiratory disorders caused by dust particles. Methods The daily outpatient number of childhood respiratory disorders from Month 1st to May 31st in 2011, 2012 and 2013 were obtained from 6 third-grade class-A hospitals in Changchun City.After excluding the long-term trend, meteorological factor and random interference by model ARIMA, regression analysis was used to analyze the association between dust events and the daily outpatient number of childhood respiratory disorders. Results The changes in temperature, relative humidity, daily average temperature, SO2 and NO2 in the dust event days had no significant differences compared with the non-dust event days in the past three years(P>0.05);the concentration of PM10 in dust events was increased significantly(P<0.05);the wind speeds were increased significantly in 2012 and 2013(P<0.05).The dust events had an effect on the number of daily outpatients of childhood respiratory disorders, and it was lag effect.Compared with the non-dust event days, the amount of daily outpatients of childhood respiratory disorders was increased significantly in post dust event days 2 and 3(P<0.05). Conclusion The dust events has correlation with the daily outpatient number of childhood respiratory disorders with the lag effect.

Key words: dust events, childhood respiratory disorders, number of outpatients

CLC Number: 

  • R122