Analysis on probability of premature death and cause eliminated life expectancy of major non-communicable diseases in Chongqing Municipality, 2016 / 中华预防医学杂志

ABSTRACT

Objective@#To analyze the premature death probability and cause-eliminated life expectancy of cardiovascular disease, cancer, chronic respiratory disease and diabetes in Chongqing residents in 2016 so as to provide recommendation for non-communicable diseases (NCDs) prevention and control in Chongqing.@*Methods@#Death cases of Chongqing Municipality between January 1st and December 31st, 2016 were reported through death case registry system of national center for disease prevention and control. Death cases were sorted by international classification of disease (ICD-10). Mortality rate, standardized mortality rate, constituent ratio, premature death probability, life expectancy, and cause-eliminated life expectancy of four major NCDs were analyzed.@*Results@#A total of 218 004 death cases were reported in Chongqing, 2016, and the mortality rate was 731.73/100 000. Of them, a total of 179 637 death cases of the four major NCDs including cardiovascular disease, cancer, chronic respiratory disease and diabetes were reported, accounting for 82.40% of all death cases. The mortality rate and standardized mortality rate of four major NCDs was 602.95/100 000 and 455.82/100 000, respectively. The premature death probability of four major NCDs was 15.96%, and males (25.39%) had a higher premature death probability than females (10.78%). The premature death probability of cardiovascular disease, cancer, chronic respiratory disease, and diabetes were 6.01%, 8.32%, 2.05%, and 0.43%, respectively. Life expectancy would increase by 6.02, 3.19, 1.89, and 0.19 years, after eliminating cardiovascular disease, cancer, chronic respiratory disease and diabetes respectively.@*Conclusion@#The premature death probability of major NCDs was high in Chongqing, and males had a higher premature death probability than females did. Intervention and health management of the population should be conducted according to different gender-based risk factors to reduce the premature death probability.