高级检索
    张金艳, 田霖, 李书明, 艾丽艳, 潘小川. 北京市朝阳区大气PM2.5暴露与医院呼吸系统疾病门诊量关系的时间序列分析[J]. 环境卫生学杂志, 2020, 10(4): 367-371. DOI: 10.13421/j.cnki.hjwsxzz.2020.04.007
    引用本文: 张金艳, 田霖, 李书明, 艾丽艳, 潘小川. 北京市朝阳区大气PM2.5暴露与医院呼吸系统疾病门诊量关系的时间序列分析[J]. 环境卫生学杂志, 2020, 10(4): 367-371. DOI: 10.13421/j.cnki.hjwsxzz.2020.04.007
    shu
    ZHANG Jinyan, TIAN Lin, LI Shuming, AI Liyan, PAN Xiaochuan. Relationship between Ambient PM2.5 Exposure and Outpatient Number for Respiratory Diseases in Chaoyang District, Beijing, China: A Time Series Analysis[J]. Journal of Environmental Hygiene, 2020, 10(4): 367-371. DOI: 10.13421/j.cnki.hjwsxzz.2020.04.007
    Citation: ZHANG Jinyan, TIAN Lin, LI Shuming, AI Liyan, PAN Xiaochuan. Relationship between Ambient PM2.5 Exposure and Outpatient Number for Respiratory Diseases in Chaoyang District, Beijing, China: A Time Series Analysis[J]. Journal of Environmental Hygiene, 2020, 10(4): 367-371. DOI: 10.13421/j.cnki.hjwsxzz.2020.04.007
    shu

    北京市朝阳区大气PM2.5暴露与医院呼吸系统疾病门诊量关系的时间序列分析

    Relationship between Ambient PM2.5 Exposure and Outpatient Number for Respiratory Diseases in Chaoyang District, Beijing, China: A Time Series Analysis

      摘要
    • 摘要:
      目的 探讨北京市朝阳区大气PM2.5污染对医院呼吸系统疾病门诊量的影响。
      方法 收集北京市朝阳区某综合医院、某儿科医院、某中医医院2013年呼吸系统疾病门诊数据，同时收集北京市朝阳区日均PM2.5、SO2、NO2、PM10浓度和日均气温、相对湿度数据。使用广义加性模型（generalized additive model，GAM）分析PM2.5与门诊量的关系。
      结果 PM2.5质量浓度对中医医院呼吸系统疾病门诊量影响无统计学意义（P>0.05），对综合医院和儿科医院呼吸系统疾病门诊量具有显著影响（P < 0.05）；PM2.5质量浓度每升高10 μg/m3，综合医院和儿科医院呼吸系统疾病门诊量的ER%值分别为0.239 4（0.099 9~0.378 6）和0.099 9（0.010 0~0.199 6），且存在滞后效应。
      结论 北京市朝阳区大气PM2.5质量浓度升高引起综合医院和儿科医院呼吸系统疾病门诊量增加。

       

      Abstract:
      Objective To explore the effect of ambient PM2.5 exposure on the outpatient number for respiratory diseases in Chaoyang District, Beijing, China.
      Methods The clinical data of outpatient visits for respiratory diseases were collected in a general hospital, a pediatric hospital, and a traditional Chinese medicine (TCM) hospital in Chaoyang District, Beijing in 2013. Meanwhile, daily average PM2.5, SO2, NO2, and PM10 concentrations, temperature, and relative humidity in Chaoyang District, Beijing during the same period were collected as well. The relationship between PM2.5 concentrations and outpatient number was analyzed using a generalized additive model (GAM).
      Results PM2.5 concentrations had a significant impact on the outpatient number for respiratory diseases in the general hospital and the pediatric hospital (P < 0.05) but not for the TCM hospital (P>0.05). For every increase of 10 μg/m3 in PM2.5, the excess risks for outpatient visits for respiratory diseases were 0.239 4 (0.099 9~0.378 6) and 0.099 9 (0.010 0~0.199 6), respectively, in the general hospital and the pediatric hospital, with a lag effect.
      Conclusion An increase in the atmospheric PM2.5 concentration in Chaoyang District, Beijing may promote outpatient visits for respiratory diseases in general hospitals and pediatric hospitals.

       

      • HTML全文
      • 参考文献(14)
      • 相关文章
      • 施引文献
    • 资源附件(0)

    /

    返回文章
    返回