Journal of Shandong University (Health Sciences) ›› 2018, Vol. 56 ›› Issue (11): 84-90.doi: 10.6040/j.issn.1671-7554.0.2017.874

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Time series analysis on the effects of particulate matter on the hospital visits of childrens respiratory diseases in Jinan City

JIA Xiaoqian1, CUI Liangliang2, YUE Kesan3, LI Xinwei2, HAN Lianyu3, WU Xingbin3, ZHOU Jingwen2   

  1. 1. Department of Epidemiology &
    Biostatistics, School of Public Health, Peking University, Beijing 100191, China;
    2. Jinan Municipal Center for Disease Control and Prevention, Jinan 250021, Shandong, China;
    3. Department of Public Health, Jinan Licheng District Center for Disease Control and Prevention, Jinan 250100, Shandong, China
  • Published:2022-09-27

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Abstract: Objective To analyze the short-term effect of daily average concentrations of PM2.5 and PM10 on the hospital visits of childrens respiratory diseases in Jinan City in 2016. Methods A descriptive analysis of the epidemiological characters of outpatients with respiratory diseases, air pollution and weather conditions were conducted. Spearman correlation of air pollutants, weather conditions and hospital visiting were analyzed. Generalized linear model(GLM)based on Poisson regression was used to estimate the acute effects of PM2.5 and PM10 on hospital visits. The vulnerability of different genders and age groups(<1 year old, 1-4 years old, 5-9 years old and ≥10 years old)was assessed. Results The average daily mean concentrations of PM2.5 and PM10 were 73 μg/m3 and 138 μg/m3, respectively. The average hospital visit of respiratory diseases was 716 persons/day. Respiratory diseases could increase by 0.37%(95%CI: 0.04%~0.72%)and 0.29%(95%CI: 0.09%~0.50%)with a 10 μg/m3 increase of PM2.5 and PM10. The effects were 山 东 大 学 学 报 (医 学 版)56卷11期 -贾晓倩,等.济南市大气颗粒物与儿童呼吸系统疾病就诊量的时间序列分析 \=-greater in females than in males, which showed an increasing trend with the increase of age. Conclusion A significant acute effect of airborne particulate matter with respiratory diseases in children has been observed. The female is more sensitive to air pollution than male, and the older children are more vulnerable to air pollution.

Key words: Particulate matter, Children, Hospital visit, Respiratory disease, Time series analysis

CLC Number: 

  • R181.3
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