title: [Subnational analysis of probability of premature mortality caused by four main non-communicable diseases in China during 1990-2015 and " Health China 2030" reduction target].
abstract: Objective:To investigate the current status, temporal trend and achieving Health China 2030 reduction target of probability of premature mortality caused by four main non-communicable diseases (NCDs) including cardiovascular and cerebrovascular diseases, tumour, diabetes, and chronic respiratory disease in China both at national and provincial level during 1990 to 2015.Methods:Using the results of Global Burden of Disease study 2015 (GBD 2015), according to the method of calculating premature mortality probability recommended by WHO, the current status and temporal trend by different gender from 1990 to 2015 were calculated, analyzed, and compared. Referring to " Health China 2030" target of reduction 30% of probability of premature mortality caused by major NCDs, we evaluated the difficulty of achieving the reduction target among provinces (not including Taiwan).Results:From 1990 to 2015, the probabilities of premature mortality in cardiovascular and cerebrovascular diseases, tumour, and chronic respiratory disease were all declined consistently for both men and women in China, the total of four main NCDs decreased from 30.69% to 18.54% with higher decreasing in women (from 25.97% to 12.40%) than that in men (from 34.94% to 24.19%). In 2015, the top five provinces in terms of probability of premature mortality caused by four main NCDs were Qinghai (28.81%), Tibet (25.88%), Guizhou (24.67%), Guangxi (23.56%), and Xinjiang (23.21%) in turn, while the top five provinces with the lowest probability were Shanghai (8.40%), Beijing (9.39%), Hong Kong (10.10%), Macao (10.31%), and Zhejiang (11.70%). If achieving the " Health China 2030" target, the probabilities of premature mortality in Qinghai and Tibet with the highest probability should decline to about 20.17%, and 18.12%, respectively in 2030, while 5.88%, and 6.57% in Shanghai and Beijing, respectively. From 1990 to 2015, the probability of premature mortality of four main NCDs declined by 2.00% a year on average, the top five provinces with the fastest decline were Beijing (3.48%), Shanghai (3.24%), Zhejiang (2.81%), Fujian (2.75%), and Guangdong (2.67%), and 11 provinces including these five provinces could achieve the " Health China 2030" target by the usual rate of decline, while other 22 provinces could not achieve the target, they need greater rate of decline in order to achieve the target.Conclusion:From 1990 to 2015, the probabilities of premature mortality of four main NCDs were declined consistently in China both at national and provincial level, compared with women, the men had higher probabilities and declined slower, there were significant different in probabilities of premature mortality and their change speed among provinces. Based on the results from 1990 to 2015, there were about two thirds of the provinces, which the task of achieving the Health China 2030 target will be daunting.
authors.affiliation: National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
authors.forename: X Y
authors.initials: XY
authors.lastname: Zeng
authors.forename: Y C
authors.initials: YC
authors.lastname: Li
authors.forename: S W
authors.initials: SW
authors.lastname: Liu
authors.forename: L J
authors.initials: LJ
authors.lastname: Wang
authors.forename: Y N
authors.initials: YN
authors.lastname: Liu
authors.forename: J M
authors.initials: JM
authors.lastname: Liu
authors.forename: M G
authors.initials: MG
authors.lastname: Zhou
mesh_terms: D002681:China / Q000453:epidemiology; D002908:Chronic Disease / Q000453:epidemiology*; D003920:Diabetes Mellitus / Q000401:mortality; D005260:Female; D006801:Humans; D008297:Male; D061213:Mortality, Premature; D009369:Neoplasms / Q000401:mortality; D011336:Probability
keywords: Chronic diseases; Health China 2030; Probability; Probability of premature mortality