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Estimating mortality burden attributable to short-term PM 2.5 exposure: A national observational study in China.
- Source :
-
Environment international [Environ Int] 2019 Apr; Vol. 125, pp. 245-251. Date of Electronic Publication: 2019 Feb 04. - Publication Year :
- 2019
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Abstract
- Studies worldwide have estimated the number of deaths attributable to long-term exposure to fine airborne particles (PM <subscript>2.5</subscript> ), but limited information is available on short-term exposure, particularly in China. In addition, most existing studies have assumed that short-term PM <subscript>2.5</subscript> -mortality associations were linear. For this reason, the use of linear exposure-response functions for calculating disease burden of short-term exposure to PM <subscript>2.5</subscript> in China may not be appropriate. There is an urgent need for a comprehensive, evidence-based assessment of the disease burden related to short-term PM <subscript>2.5</subscript> exposure in China. Here, we explored the non-linear association between short-term PM <subscript>2.5</subscript> exposure and all-cause mortality in 104 counties in China; estimated county-specific mortality burdens attributable to short-term PM <subscript>2.5</subscript> exposure for all counties in the country and analyzed spatial characteristics of the mortality burden due to short-term PM <subscript>2.5</subscript> exposure in China. The pooled PM <subscript>2.5</subscript> -mortality association was non-linear, with a reversed J-shape. We found an approximately linear increased risk of mortality from 0 to 62 μg/m <superscript>3</superscript> and decreased risk from 62 to 250 μg/m <superscript>3</superscript> . We estimated a total of 169,862 additional deaths from short-term PM <subscript>2.5</subscript> exposure throughout China in 2015. Models using linear exposure-response functions for the PM <subscript>2.5</subscript> -mortality association estimated 32,186 deaths attributable to PM <subscript>2.5</subscript> exposure, which is 5.3 times lower than estimates from the non-linear effect model. Short-term PM <subscript>2.5</subscript> exposure contributed greatly to the death burden in China, approximately one seventh of the estimates from the chronic effect. It is essential and crucial to incorporate short-term PM <subscript>2.5</subscript> -related mortality estimations when considering the disease burden attributable to PM <subscript>2.5</subscript> in developing countries such as China. Traditional linear effect models likely underestimated the mortality burden due to short-term exposure to PM <subscript>2.5</subscript> .<br /> (Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1873-6750
- Volume :
- 125
- Database :
- MEDLINE
- Journal :
- Environment international
- Publication Type :
- Academic Journal
- Accession number :
- 30731374
- Full Text :
- https://doi.org/10.1016/j.envint.2019.01.073