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Lung cancer mortality clusters in Shandong Province, China: how do they change over 40 years?


ABSTRACT: Lung cancer has long been a major health problem in China. This study aimed to examine the temporal trend and spatial pattern of lung cancer mortality in Shandong Province from 1970 to 2013. Lung cancer mortality data were obtained from Shandong Death Registration System and three nationwide retrospective cause-of-death surveys. A Purely Spatial Scan Statistics method with Discrete Poisson models was used to detect possible high-risk spatial clusters. The results show that lung cancer mortality rate in Shandong Province increased markedly from 1970-1974 (7.22 per 100,000 person-years) to 2011-2013 (56.37/100, 000). This increase was associated with both demographic and non-demographic factors. Several significant spatial clusters with high lung cancer mortality were identified. The most likely cluster was located in the northern region of Shandong Province during both 1970-1974 and 2011-2013. It appears the spatial pattern remained largely consistent over the last 40 years despite the absolute increase in the mortality rates. These findings will help develop intervention strategies to reduce lung cancer mortality in this large Chinese population.

SUBMITTER: Fu Z 

PROVIDER: S-EPMC5687644 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature

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Lung cancer mortality clusters in Shandong Province, China: how do they change over 40 years?

Fu Zhentao Z   Li Yingmei Y   Lu Zilong Z   Chu Jie J   Sun Jiandong J   Zhang Jiyu J   Zhang Gaohui G   Xue Fuzhong F   Guo Xiaolei X   Xu Aiqiang A  

Oncotarget 20170921 51


Lung cancer has long been a major health problem in China. This study aimed to examine the temporal trend and spatial pattern of lung cancer mortality in Shandong Province from 1970 to 2013. Lung cancer mortality data were obtained from Shandong Death Registration System and three nationwide retrospective cause-of-death surveys. A Purely Spatial Scan Statistics method with Discrete Poisson models was used to detect possible high-risk spatial clusters. The results show that lung cancer mortality  ...[more]

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