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.
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.
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.