Objective To explore the relationship between education level and the risk of all-cause mortality in the middle-aged and elderly(≥45 years old)population in China.Methods Using data from five surveys from 2011-2020,years of education,age,gender,marital status,type of household,alcohol consumption status,smoking status,physical activity,limited ability to perform activities of daily living(ADLs),chronic disease status,and body mass index were collected.According to the survival status,the study participants were divided into a survival group(n=8 625)and an all-cause mortality group(n=1 735).Cox proportional risk regression model was used to analyze the relationship between years of education and the risk of all-cause mortality in middle-aged and elderly people with stratified analysis.Results The survey was conducted on 10 360 research subjects,including 4 983 males and 5 377 females,with an age M(QR)of 59(8)years old.A total of 88 187 person years(average 8.512 person years)were followed up,and a total of 1 735 deaths were reported over 9 years.The all-cause mortality rate was 19.674 ‰,with an education period M(QR)of 5(8)years and a survival time M(QR)of 9(0)years.After adjusting for confounding factors,for every 1 year increase in education,the risk of all-cause mortality decreased by 2.60％[HR=0.974,95％CI(0.960-0.988)].The stratified analysis results showed that in the population aged 45-59,for every 1 year increase in education,the risk of all-cause mortality decreased by 1.00％[HR=0.990,95％CI(0.959-1.021)];In the population aged 60-74 and over 75,for every 1 year increase in education,the risk of all-cause mortality decreased by 2.70％[HR=0.973,95％CI(0.948-0.999)]and 3.50％[HR=0.965,95％CI(0.929-1.003)],respectively.Conclusion Improving the education level of middle-aged and elderly people(≥ 45 years old)in China can reduce the risk of all-cause mortality,and elderly education should be vigorously promoted.
关键词
受教育水平/全因死亡风险/中老年人群/中国健康与养老追踪调查
Key words
Education level/All-cause mortality risk/Middle-aged and elderly population/China Health and Retirement longitudinal Study(CHARLS)
维普
万方数据