期刊
ATMOSPHERIC ENVIRONMENT
卷 147, 期 -, 页码 369-375出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.atmosenv.2016.10.021
关键词
Fine particulate matter; Components; Hospital admissions; Poisson regression; Species; Time series
资金
- University of Texas Health Science Center at Houston School of Public Health
A number of time-series studies have associated PM2.5(particulate matter with aerodynamic diameter less than 2.5 mu m) mass and components with various health outcomes. No studies have yet examined the associations between PM2.5 components and hospital admissions among a privately insured population. We estimated the short-term associations between exposure to PM2.5 mass and components and emergency hospital admissions for all-cause and cause-specific diseases in Greater Houston, Texas, during 2008-2013 using Blue Cross Blue Shield Texas claims data. A total of 90,085 emergency hospital admissions were included in this study, with an average of 34 +/- 10 admissions per day. We selected 20 PM2.5 components froth the U.S. Environmental Protection Agency's Chemical Speciation Network site located in Houston, and then applied Poisson regression models to assess the short-term effects of PM2.5 mass and species on emergency hospital admissions. Effects were estimated without adjustment for other airborne pollutants. PM2.5 mass was not statistically significantly associated with increased all cause emergency hospital admissions and selected cause-specific admissions. For selected PM2.5 species, we found interquartile range increases in arsenic (0.001 mu g/m(3)) and copper (0.017 mu g/m(3)) were significantly (P < 0.05) associated with increased admissions for stroke, (5.98% [95% confidence interval (CI): 0.73, 11.50%1) and pneumonia (4.07% [95% CI: 037, 7.90%]), respectively. Seasonal analysis showed weak variation among PM2.5 mass and components, except that nickel significantly increased all-cause emergency hospital admissions (2.16% [95% CI: 0.21, 4.14%]) during the warm season. Our findings suggest that hospital admissions in the privately insured population are slightly affected by ambient fine particulate matter air pollution. (C) 2016 Elsevier Ltd. All rights reserved.
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