Association between Ambient PM10 and Daily Hospital Visits:a Time-Series Analysis
- VernacularTitle:大气PM10与心血管疾病就诊人次的时间序列分析
- Author:
Wanyi WANG
;
Hongyuan WANG
;
Zhigang ZHANG
- Publication Type:Journal Article
- Keywords:
Air pollution;
Inhalable particulates;
Cardiovascular diseases;
Generalized addictive model;
Time series analysis;
Daily hospital visit
- From:
Journal of Environment and Health
2007;0(12):-
- CountryChina
- Language:Chinese
-
Abstract:
Objective To estimate quantitatively the impact of the ambient PM10 on the hospital outpatients for cardiovascular diseases of local residents. Methods Time serial analysis using generalized addictive model (GAM) was applied. After controlling for those confounding factors such as long-term trend, weekly pattern and meteorological factors, considering lag effect and the influence of other air pollutants, excess relative risks (ER) of daily hospital visits associated with increasing PM10 level were estimated by fitting a Poisson regression model. Results A 10 ?g/m3 increase in PM10 levels was associated with an ER of 0.380% (95%CI: 0.326% ～0.433%) for hospital visits for cardiovascular diseases. Lag effect of 4 days with an ER of 1.166% (95%CI:1.121%～1.212%) were observed. The ER value increased when CO, NO2, SO2 concentrations were introduced. Conclusion The ambient PM10 concentration is positively associated with daily hospital visits for cardiovascular diseases in Beijing.
