Association between ambient PM10/PM2.5 concentration and outpatient department visits due to respiratory disease in a hospital in Jinan, 2013-2015: a time series analysis
10.3760/cma.j.issn.0254-6450.2017.03.020
- VernacularTitle:济南市2013-2015年某综合医院呼吸系统疾病就诊人次与大气颗粒物PM10、PM2.5关系的时间序列研究
- Author:
Mengjiao ZHAO
1
;
Xingyi GENG
;
Liangliang CUI
;
Jingwen ZHOU
;
Ji ZHANG
Author Information
1. 250021,山东省济南市疾病预防控制中心
- Keywords:
Inhalable particulates;
Respiratory disease;
Generalized addictive model;
Time series analysis;
Daily hospital visit
- From:
Chinese Journal of Epidemiology
2017;38(3):374-377
- CountryChina
- Language:Chinese
-
Abstract:
Objective To estimate the influence of the ambient PM10 and PM2.5 pollution on the hospital outpatient department visit due to respiratory diseases in local residents in Jinan quantitatively.Methods Time serial analysis using generalized addictive model (GAM) was conducted.After controlling the confotmding factors,such as long term trend,weekly pattern and meteorological factors,considering lag effect and the influence of other air pollutants,the excess relative risks of daily hospital visits associated with increased ambient PM10 and PM2.5 levels were estimated by fitting a Poisson regression model.Results A 10 μtg/m3 increase of PM10 and PM2.5 levels was associated with an increase of 0.36％ (95％ CI:0.30％-0.43％) and 0.50％ (95％ CI:0.30％-0.70％) respectively for hospital visits due to respiratory diseases.Lag effect of 6 days was strongest,the excess relative risks were 0.65％ (95％ CI:0.58％-0.71％) and 0.54％ (95％ CI:0.42％-0.67％) respectively.When NO2 concentration was introduced,the daily hospital visits due to respiratory disease increased by 0.83％ as a 10 μg/m3 increase of PM10 concentration (95％CI:0.76％-0.91％).Conclusion The ambient PM10 and PM2.5 pollution was positively associated with daily hospital visits due to respiratory disease in Jinan,and ambient NO2 concentration would have the synergistic effect.
