An ecological analysis of PM2.5 concentrations and lung cancer mortality rates in China.
Bottom Line: Geographically weighted regression was performed to evaluate the relation between PM2.5 concentrations and lung cancer mortality for males, females and for both sexes combined, in 2008, based on newly available long-term data.Lung cancer fatalities from long-term exposure to PM2.5 were calculated according to studies by Pope III et al and the WHO air quality guidelines (AQGs). 31 provinces in China.PM2.5 was associated with the lung cancer mortality of males, females and both sexes combined, in China, although there were exceptions in several regions, for males and females.
Affiliation: State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.Show MeSH
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Mentions: The gridded population data for China, used in this study, were based on the Sixth National Population Census (SNPC).21 To take advantage of the spatially explicit PM2.5 concentration data, we transformed the census data into spatial grids based on the administrative districts, which is an effective method for calculating the spatial distribution of a population with land cover data on the scale of 1:10 million. A multivariate model was developed to calculate the various population factors on different land cover types.22 The spatial population grid data were subsequently obtained with the support of the Geographic Information System (GIS) at a resolution of 1 km2. The result was modified by the DEM (Digital Elevation Model) data, and the resident point data, and was validated by the census data from several randomly selected towns.22 Finally, we analysed the status of the population distribution exposed to different PM2.5 concentrations, and estimated the lung cancer fatalities using risk estimates from the ACS study and WHO AQGs. Figure 2 shows the gridded population data in China, based on SNPC with a resolution of 1 km2.
Affiliation: State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.