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An ecological analysis of PM2.5 concentrations and lung cancer mortality rates in China.

Fu J, Jiang D, Lin G, Liu K, Wang Q - BMJ Open (2015)

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.

View Article: PubMed Central - PubMed

Affiliation: State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.

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Maps of local coefficients of PM2.5 from the models for (A) both sexes, (B) males and (C) females. PM, Particulate Matter.
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BMJOPEN2015009452F5: Maps of local coefficients of PM2.5 from the models for (A) both sexes, (B) males and (C) females. PM, Particulate Matter.

Mentions: The adjusted R2 of the GWR models for males, females and both sexes combined was 0.654, 0.710 and 0.672, respectively, which indicates that the GWR models were a good fit for the data. Figure 5 shows the spatial variation in the relation between PM2.5 concentrations and the mortality from lung cancer for both sexes, and for males and females. To examine the spatial instability of the regression coefficients, the f-statistic, (where is the variance of the coefficients, and is the residual sum of squares) was calculated.30 In this study, the ratios between the f-statistic and the degrees of freedom for each model were all larger than the critical value at the level of 0.05, which indicated that the spatial variation of the regression coefficients was not stationary.


An ecological analysis of PM2.5 concentrations and lung cancer mortality rates in China.

Fu J, Jiang D, Lin G, Liu K, Wang Q - BMJ Open (2015)

Maps of local coefficients of PM2.5 from the models for (A) both sexes, (B) males and (C) females. PM, Particulate Matter.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4663405&req=5

BMJOPEN2015009452F5: Maps of local coefficients of PM2.5 from the models for (A) both sexes, (B) males and (C) females. PM, Particulate Matter.
Mentions: The adjusted R2 of the GWR models for males, females and both sexes combined was 0.654, 0.710 and 0.672, respectively, which indicates that the GWR models were a good fit for the data. Figure 5 shows the spatial variation in the relation between PM2.5 concentrations and the mortality from lung cancer for both sexes, and for males and females. To examine the spatial instability of the regression coefficients, the f-statistic, (where is the variance of the coefficients, and is the residual sum of squares) was calculated.30 In this study, the ratios between the f-statistic and the degrees of freedom for each model were all larger than the critical value at the level of 0.05, which indicated that the spatial variation of the regression coefficients was not stationary.

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.

View Article: PubMed Central - PubMed

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
Related in: MedlinePlus