4.7 Article

Coarse particles and mortality in three Chinese cities: The China Air Pollution and Health Effects Study (CAPES)

Journal

SCIENCE OF THE TOTAL ENVIRONMENT
Volume 409, Issue 23, Pages 4934-4938

Publisher

ELSEVIER
DOI: 10.1016/j.scitotenv.2011.08.058

Keywords

Air pollution; CAPES; Coarse particles; Mortality; Time-series

Funding

  1. National Basic Research Program (973 program) of China [2011CB503802]
  2. China Ministry of Environmental Protection [200809109, 201209008]
  3. National Natural Science Foundation of China [30800892]
  4. Program for New Century Excellent Talents in University [NCET-09-0314]

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Evidence concerning the health risks of coarse particles (PM10-2.5) is limited. There have been no multi-city epidemiologic studies of PM10-2.5 in developing Asian countries. We examine the short-term association between PM10-2.5 and daily mortality in three Chinese cities: Beijing, Shanghai, and Shenyang. PM10-2.5 concentrations were estimated by subtracting PM2.5 from PM10 measurements. Data were analyzed using the overdispersed generalized linear Poisson models. The average daily concentrations of PM10-2.5 were 101 mu g/m(3) for Beijing (2007-2008), 50 mu g/m(3) for Shanghai (2004-2008), and 49 mu g/m(3) for Shenyang (2006-2008). In the single-pollutant models, the three-city combined analysis showed significant associations between PM10-2.5 and daily mortality from both total non-accidental causes and from cardiopulmonary diseases. A 10-mu g/m(3) increase in 1-day lagged PM10-2.5 was associated with a 0.25% (95% CI: 0.08 to 0.42) increase in total mortality, 0.25% (95% CI: 0.10 to 0.40) increase in cardiovascular mortality, and 0.48% (95% CI: 0.20 to 0.76) increase in respiratory mortality. However, these associations became statistically insignificant after adjustment for PM2.5. PM2.5 was significantly associated with mortality both before and after adjustment for PM10-2.5. In conclusion, there were no statistically significant associations between PlAro-z.s and daily mortality after adjustment for PM2.5 in the three Chinese cities. (C) 2011 Elsevier B.V. All rights reserved.

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