Title of article
Associations between fine particle, coarse particle, black carbon and hospital visits in a Chinese city Original Research Article
Author/Authors
Xi Wang، نويسنده , , Renjie Chen، نويسنده , , Xia-Meng Si، نويسنده , , Fuhai Geng، نويسنده , , Cuicui Wang، نويسنده , , Haidong Kan، نويسنده ,
Issue Information
دوهفته نامه با شماره پیاپی سال 2013
Pages
6
From page
1
To page
6
Abstract
China is one of the countries with the highest ambient particle levels in the world; however, there have been no epidemiologic studies examining the effects of fine particle (PM2.5), coarse particle (PM10–2.5) and black carbon (BC) simultaneously on morbidity outcomes. In this study, we conducted a time-series analysis to evaluate the acute effects of PM2.5, PM10–2.5, and BC on daily hospital visits in Shanghai, China. During our study period, the mean daily concentrations of PM2.5, PM10–2.5 and BC were 53.9 μg/m3, 38.4 μg/m3 and 3.9 μg/m3, respectively. We found significant associations of PM2.5, PM 10–2.5, and BC with daily hospital visits. An inter-quartile range increase of the average concentrations of the current and previous days in PM2.5, PM10–2.5 and BC was associated with a 1.88% (95% CI: 0.69% to 3.06%), a 1.30% (95% CI: 0.25% to 2.34%) and a 1.33% (95% CI: 0.34% to 2.32%) increase in emergency-room visits, respectively. For outpatient visits, the corresponding estimated changes were − 2.44% (95% CI: − 6.62% to 1.74%), 1.09% (95% CI: − 2.72% to 4.90%) and 3.34% (95% CI: 0.10% to 6.57%) respectively. The effects of BC were more robust than the effects of PM2.5 and PM10–2.5 in two-pollutant models. To our knowledge, this is the first study in China, or even in Asian developing countries, to report the effect of PM2.5, PM10–2.5, and BC simultaneously on morbidity. Our findings also suggest that BC could serve as a valuable air quality indicator that reflects the health risks of airborne particles.
Keywords
Black carbon , Hospital visits , Fine particle , Coarse particle
Journal title
Science of the Total Environment
Serial Year
2013
Journal title
Science of the Total Environment
Record number
989173
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