{"title":"Association of Ambient Air Pollution with Respiratory Hospitalization in Eastern China","authors":"Yan Wang, Yi-sheng Zhang, Hong-li Li","doi":"10.1109/ICBBE.2008.463","DOIUrl":null,"url":null,"abstract":"In order to evaluate the effects of acute air pollution exposures on the health of respiratory system, respiratory hospital admissions data at community-based hospitals and air quality data were collected from 1st January, 2002 to 31st December, 2005 in L District of Jinan, Shandong province. On the basis of controlling for some confounding factors, such as the long-term trend of hospital admissions, 'day of the week' (DOW) effect, meteorological factor and so on, with semi-parametric generalized additive model (GAM) being employed, the regression model was established. Results showed that PM<sub>10</sub>, SO<sub>2</sub> and NO<sub>2</sub> were all associated with increased risk of respiratory hospital admissions. The best lag days for PM<sub>10</sub>, NO<sub>2</sub> were current day (lag 0) and three days before (lag 3), while average moving within four days was best suitable (avg03) for SO<sub>2</sub>. The effect of a 10 mug/m<sup>3</sup> rise in PM<sub>10</sub> was estimated to represent a 0.38% (95% confidence interval (CI): 0.24%-0.53%) increase in respiratory hospital admissions. 1.48% (95% CI: 1.24%-1.72% ) increase for a 10 mug/m<sup>3</sup> increase in SO<sub>2</sub> , and 0.77% (95% CI: 0.36%-1.18%) for a 10 mug/m<sup>3</sup> increase in NO<sub>2</sub> were also observed. Female were more susceptible than the male to pollutant. Relative risk for PM<sub>10</sub> and SO<sub>2</sub> in warm seasons were larger than in cold seasons.","PeriodicalId":6399,"journal":{"name":"2008 2nd International Conference on Bioinformatics and Biomedical Engineering","volume":"60 1","pages":"3846-3851"},"PeriodicalIF":0.0000,"publicationDate":"2008-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 2nd International Conference on Bioinformatics and Biomedical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICBBE.2008.463","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In order to evaluate the effects of acute air pollution exposures on the health of respiratory system, respiratory hospital admissions data at community-based hospitals and air quality data were collected from 1st January, 2002 to 31st December, 2005 in L District of Jinan, Shandong province. On the basis of controlling for some confounding factors, such as the long-term trend of hospital admissions, 'day of the week' (DOW) effect, meteorological factor and so on, with semi-parametric generalized additive model (GAM) being employed, the regression model was established. Results showed that PM10, SO2 and NO2 were all associated with increased risk of respiratory hospital admissions. The best lag days for PM10, NO2 were current day (lag 0) and three days before (lag 3), while average moving within four days was best suitable (avg03) for SO2. The effect of a 10 mug/m3 rise in PM10 was estimated to represent a 0.38% (95% confidence interval (CI): 0.24%-0.53%) increase in respiratory hospital admissions. 1.48% (95% CI: 1.24%-1.72% ) increase for a 10 mug/m3 increase in SO2 , and 0.77% (95% CI: 0.36%-1.18%) for a 10 mug/m3 increase in NO2 were also observed. Female were more susceptible than the male to pollutant. Relative risk for PM10 and SO2 in warm seasons were larger than in cold seasons.