摘要
目的利用个体水平数据定量评价不同等级血压水平造成的死亡风险及预期寿命损失,探讨高血压对健康预期寿命的影响。方法基于全国多中心随访队列人群,根据基线不同等级血压水平将人群分为4组,利用Cox比例风险模型,计算死亡风险比(HR)值及预期寿命损失。结果纳入123214名平均年龄50.89岁的研究对象,随访1616194.5人年中发生全因死亡15127例。相对于血压正常人群,1级、2级和3级高血压造成的全因死亡风险递增,对35岁人群造成的预期寿命损失分别达到1.73年、3.35年和5.95年,其中男性为2.26年、4.18年和6.72年,女性为1.60年、2.83年和5.63年。结论血压水平越高预期寿命损失越大,而且在男性中更明显。保持正常血压水平有利于推迟心血管疾病发病年龄,提高人群健康预期寿命。
Objective To evaluate the mortality risk and loss of life expectancy attributed to different levels of blood pressure using individual-level data,and to discuss the impact of hypertension on healthy life expectancy.Methods In a national multi-center cohort,we classified the population into 4 groups based on their baseline blood pressure.Cox proportional hazard model was constructed to calculate the hazard ratio(HR)and loss of life expectancy.Results A total of 123,214 subjects with an average age of 50.89 years were included,and 15,127 all-cause deaths occurred in 1,616,194.5 person-years of follow-up.Compared with the normotensive group,stage 1,stage 2,and stage 3 of hypertension were associated with increased risk of all-cause mortality,and the losses of life expectancy in the 35-year-old population reached 1.73 years,3.35years,and 5.95 years,respectively(2.26 years,4.18 years,and 6.72 years for men,and 1.60 years,2.83 years,and 5.63 years for women,respectively).Conclusion The loss of life expectancy increased with the increase in blood pressure level,and which is more obvious in men.Maintaining normal blood pressure is beneficial to delay the onset of cardiovascular disease and improve healthy life expectancy.
作者
沈诩翔
崔翔
刘芳超
鲁向锋
顾东风
SHEN Xuxiang;CUI Xiang;LIU Fangchao;LU Xiangfeng;GU Dongfeng(Department of Epidemiology,National Center for Cardiovascular Disease,Fuwai Hospital,Chinese Academy of Medical Sciences&Peking Union Medical College,Beijing 100037,China)
出处
《中国卫生信息管理杂志》
2023年第2期184-190,196,共8页
Chinese Journal of Health Informatics and Management
基金
“主动健康和人口老龄化科技应对”重点专项《疾病谱分析与疾病对健康预期寿命及其价值的影响研究》(项目编号:2022YFC3600803)。
关键词
血压水平分级
预期寿命损失
全因死亡
队列研究
个体数据
blood pressure levels
loss of life expectancy
all-cause mortality
cohort study
individual-level data
