Original Article
Comparative analysis of comprehensive health status among 31 provinces in China and 134 countries (regions) in 2015
Su Jianting, Zhang Yiming, Wang Ping, Du Jing, Wei Zaihua
Published 2020-02-06
Cite as Chin J Prev Med, 2020, 54(2): 165-168. DOI: 10.3760/cma.j.issn.0253-9624.2020.02.010
Abstract
ObjectiveTo evaluate comprehensive health status of 31 provinces in China and compare with other countries (regions).
MethodsSocial-demographic index, life expectancy and healthy life expectancy in 134 countries (regions) and 31 provinces in China were collected from the Global Burden of Disease Study 2015. K-means clustering method was used to classify comprehensive health status of various countries (regions) in the world. HemI 1.0.3 software was applied to draw distribution heat maps of social-demographic index, life expectancy and healthy life expectancy in different provinces of Mainland China. Discriminant analysis was used to evaluate comprehensive health status of different provinces in Mainland China.
ResultsComprehensive health status of 134 countries (regions) was grouped into category 1-8 from good to poor, and Mainland China was in the category 4. The comprehensive health status of provinces in Mainland China is better in the east coast and poorer in the west inland, among which Shanghai and Beijing were grouped into the category 1, Zhejiang, Jiangsu, Guangdong and Tianjin into the category 2, Fujian, Liaoning and Shandong into the category 3, Yunnan, Guangxi, Xinjiang and Guizhou into the category 5, Qinghai and Tibet into the category 6, and the rest 16 provinces into the category 4.
ConclusionComprehensive health status of Mainland China ranked middle to upper level in the world, and health status disparities were observed among different provinces in Mainland China.
Key words:
Health status; Cluster analysis; Cross-sectional studies
Contributor Information
Su Jianting
Department of Statistics and Information of Beijing Center for Diseases Prevention and Control, Beijing 100013, China
Zhang Yiming
Public Health School of Capital Medical University, Beijing 100069, China
Wang Ping
Department of Statistics and Information of Beijing Center for Diseases Prevention and Control, Beijing 100013, China
Du Jing
Department of Statistics and Information of Beijing Center for Diseases Prevention and Control, Beijing 100013, China
Wei Zaihua
Department of Statistics and Information of Beijing Center for Diseases Prevention and Control, Beijing 100013, China