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Estimating mortality burden attributable to short-term PM(2.5) exposure: A national observational study in China
Studies worldwide have estimated the number of deaths attributable to long-term exposure to fine airborne particles (PM(2.5)), but limited information is available on short-term exposure, particularly in China. In addition, most existing studies have assumed that short-term PM(2.5)-mortality associa...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6548716/ https://www.ncbi.nlm.nih.gov/pubmed/30731374 http://dx.doi.org/10.1016/j.envint.2019.01.073 |
Sumario: | Studies worldwide have estimated the number of deaths attributable to long-term exposure to fine airborne particles (PM(2.5)), but limited information is available on short-term exposure, particularly in China. In addition, most existing studies have assumed that short-term PM(2.5)-mortality associations were linear. For this reason, the use of linear exposure-response functions for calculating disease burden of short-term exposure to PM(2.5) 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(2.5) exposure in China. Here, we explored the non-linear association between short-term PM(2.5) exposure and all-cause mortality in 104 counties in China; estimated county-specific mortality burdens attributable to short-term PM(2.5) exposure for all counties in the country and analyzed spatial characteristics of the mortality burden due to short-term PM(2.5) exposure in China. The pooled PM(2.5)-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(3) and decreased risk from 62 to 250 μg/m(3). We estimated a total of 169,862 additional deaths from short-term PM(2.5) exposure throughout China in 2015. Models using linear exposure-response functions for the PM(2.5)-mortality association estimated 32,186 deaths attributable to PM(2.5) exposure, which is 5.3 times lower than estimates from the non-linear effect model. Short-term PM(2.5) 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(2.5)-related mortality estimations when considering the disease burden attributable to PM(2.5) in developing countries such as China. Traditional linear effect models likely underestimated the mortality burden due to short-term exposure to PM(2.5). |
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