Objective:To analyze the mortality situation and trend of residents in Fangsong Community in Shanghai from 2002 to 2020.Methods:All death causes of the registered residents in Fangsong Community,Shanghai from 2002 to 2020 were sorted out,and indicators such as mortality rate and China standardized mortality rate were used to analyze the mortality situation of local residents.The Joinpoint regression model was used to calculate the average annual percentage change(AAPC)and analyze its trend.Results:A total of 3 293 deaths occurred in Fangsong Community in Shanghai from 2002 to 2020,with a crude mortality rate of 354.63/100 000 and China standardized mortality rate of 352.29/100 000.The crude mortality rate AAPC was-2.46% (95% CI-4.29%,-0.61%,P=0.01),and China standardized mortality rate AAPC 2.72% (95% CI-4.01%,-1.42%,P<0.001).The top five causes of death were malignant tumors,accounting for 32.71%,cardiovascular diseases,accounting for 26.66%,respiratory system diseases,accounting for(12.82% ),digestive system diseases,accounting for(2.98% ),and endocrine,nutritional,and metabolic diseases,accounting for(2.7% ).Both male and female mortality rates and standardized rates decreased year by year(both P<0.05).The crude mortality rate and the standardized mortality rate for males were higher than those for females(both P<0.001).The mortality rate decrease in the 65-79 year-old group was 7.85% (P<0.001),The proportion of death in AAPC for residents aged 60-69 was 2.82% (95% CI 0.23,5.48%,P=0.034)and the proportion of death in AAPC for residents over 80 was 1.67% (95% CI 0.48,2.87%,P=0.009),which showed a yearly increase;the proportion of death in AAPC for residents for those aged 70-79 was-3.53% (95% CI-5.04,-2.00%,P<0.001),which showed a yearly decrease.Conclusion:There are differences in deaths in gender,age and diseases among the residents in Fangsong Community in Shanghai,and the community needs to strengthen health management for residents under 65 years of age and men.
mortalitydeath cause surveillancetrend analysiscommunity
NETL
NSTL
万方数据
