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Environment international v.110, 2018년, pp.105 - 112   SCIE
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A county-level estimate of PM2.5 related chronic mortality risk in China based on multi-model exposure data

Wang, Qing (National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No.7 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China ) ; Wang, Jiaonan (National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No.7 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China ) ; He, Mike Z. (Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, 722 West 168th Street, New York, NY 10032, USA ) ; Kinney, Patrick L. (Department of Environmental Health, Boston University School of Public Health, 715 Albany St, Talbot 4W, Boston, MA 02118, USA ) ; Li, Tiantian (National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No.7 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China ) ;
  • 초록  

    Abstract Background Ambient fine particulate matter (PM 2.5 ) pollution is currently a serious environmental problem in China, but evidence of health effects with higher resolution and spatial coverage is insufficient. Objective This study aims to provide a better overall understanding of long-term mortality effects of PM 2.5 pollution in China and a county-level spatial map for estimating PM 2.5 related premature deaths of the entire country. Method Using four sets of satellite-derived PM 2.5 concentration data and the integrated exposure-response model which has been employed by the Global Burden of Disease (GBD) to estimate global mortality of ambient and household air pollution in 2010, we estimated PM 2.5 related premature mortality for five endpoints across China in 2010. Result Premature deaths attributed to PM 2.5 nationwide amounted to 1.27million in total, and 119,167, 83,976, 390,266, 670,906 for adult chronic obstructive pulmonary disease, lung cancer, ischemic heart disease, and stroke, respectively; 3995 deaths for acute lower respiratory infections were estimated in children under the age of 5. About half of the premature deaths were from counties with annual average PM 2.5 concentrations above 63.61μg/m 3 , which cover 16.97% of the Chinese territory. These counties were largely located in the Beijing-Tianjin-Hebei region and the North China Plain. High population density and high pollution areas exhibited the highest health risks attributed to air pollution. On a per capita basis, the highest values were mostly located in heavily polluted industrial regions. Conclusion PM 2.5 -attributable health risk is closely associated with high population density and high levels of pollution in China. Further estimates using long-term historical exposure data and concentration-response (C-R) relationships should be completed in the future to investigate longer-term trends in the effects of PM 2.5 . Highlights Premature deaths attributable to PM 2.5 in China amounted to 1.27 million in the year 2010. Half of the premature deaths were from counties with annual PM 2.5 concentrations above 63.61 μg/m 3 , covering 16.97% of China. The PM 2.5 related mortality rate is 61.0/10 5 in the cleanest areas and 120.7/10 5 in the most polluted areas. Counties with high premature mortality were largely located in heavily polluted and densely populated regions. More than 58% of premature deaths were from the elderly group (aged 65 or more).


  • 주제어

    Multi-model PM2.   5 .   Chronic mortality effect .   Spatial .   County-level .   China.  

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