Authors: Xiaoping Shen*, Central Connecticut State University, Li Zhu, National Cancer Institute, National Institute of Health, Limin Wang, Chinese Center for Disease Control and Prevention, Xiulan Zhang, Beijing Normal University, Jiangmei Liu, Chinese Center for Disease Control and Prevention , Lijun Wang, Chinese Center for Disease Control and Prevention
Topics: Medical and Health Geography, Environment, China
Keywords: liver cancer, disparity, spatial random effect model, area factors, China
Session Type: Poster
Start / End Time: 3:05 PM / 4:45 PM
Room: Lincoln 2, Marriott, Exhibition Level
Presentation File: No File Uploaded
Liver cancer is the second leading cause of cancer deaths in the world. The number of liver cancer deaths in China accounted for more than half of the total liver cancer deaths in the world. Given China’s rapid economic, environment and social changes during the time, it is important to understand the effect of area factors on liver cancer mortality.
Utilizing the liver cancer mortality data from 1973 to 2014, population censuses from 1964 to 2010, smoking and alcohol data from 1984 to 2013, and statistical data in various years, spatial random effect models have been developed to examine the spatial disparity and changes of liver cancer mortality in the past four decades as well as the impact of socioeconomic, environment, personal behavior, and health condition factors on the regional variation of liver cancer mortality at both the province and county levels in China.
Higher liver cancer death risks are associated with lower medical service levels, higher water pollution levels, higher proportion of industrial labor force, higher smoking and alcohol use prevalence. The high-risk regions are mainly in the east coast, northeast, and along the Yangtze River.
The high liver cancer mortality regions in China are clustered in rapidly industrializing regions that are not those with the lowest income levels, as seen in Western countries. Further study is needed to find other risk factors in the high mortality clusters for better allocation of resources of cancer prevention and control in China and in other developing countries.