Frailty index and all-cause and cause-specific mortality in Chinese adults: a prospective cohort study

医学 人口学 全国死亡指数 生命银行 前瞻性队列研究 代理(统计) 人口 死因 队列 队列研究 内科学 中国 老年学 置信区间 索引(排版) 疾病 环境卫生 危险系数 外科 地理 考古 社会学 万维网 机器学习 生物 遗传学 计算机科学
作者
Junning Fan,Canqing Yu,Yu Guo,Bin Zheng,Zhijia Sun,Ling Yang,Yiping Chen,Huaidong Du,Zhongxiao Li,Yulong Lei,Dianjianyi Sun,Robert Clarke,Junshi Chen,Zhengming Chen,Jun Lv,Liming Li
出处
期刊:The Lancet. Public health [Elsevier]
卷期号:5 (12): e650-e660 被引量:131
标识
DOI:10.1016/s2468-2667(20)30113-4
摘要

BackgroundThe fraily index is a useful proxy measure of accelerated biological ageing and in estimating all-cause and cause-specific mortality in older individuals in European and US populations. However, the predictive value of the frailty index in other populations outside of Europe and the USA and in adults younger than 50 years is unknown. We aimed to examine the association between the frailty index and mortality in a population of Chinese adults.MethodsIn this prospective cohort study, we used data from the China Kadoorie Biobank. We included adults aged 30–79 years from ten areas (five urban areas and five rural areas) of China who had no missing values for the items that made up the frailty index. We did not exclude participants on the basis of baseline morbidity status. We calculated the follow-up person-years from the baseline date to either the date of death, loss to follow-up, or Dec 31, 2017, whichever came first, through linkage with the registries of China's Disease Surveillance Points system and local residential records. Active follow-up visits to local communities were done annually for participants who were not linked to any established registries. Causes of death from official death certificates were supplemented, if necessary, by reviewing medical records or doing standard verbal autopsy procedures. The frailty index was calculated using 28 baseline variables, all of which were health status deficits measured by use of questionnaires and physical examination. We defined three categories of frailty status: robust (frailty index ≤0·10), prefrail (frailty index >0·10 to <0·25), and frail (frailty index ≥0·25). The primary outcomes were all-cause mortality and cause-specific mortality in Chinese adults aged 30–79 years. We used a Cox proportional hazards model to estimate the associations between the frailty index and all-cause and cause-specific mortality, adjusting for chronological age, education, and lifestyle factors.Findings512 723 participants, recruited between June 25, 2004, and July 15, 2008, were followed up for a median of 10·8 years (IQR 10·2–13·1; total follow-up 5 551 974 person-years). 291 954 (56·9%) people were categorised as robust, 205 075 (40·0%) people were categorised as prefrail, and 15 694 (3·1%) people were categorised as frail. Women aged between 45 years and 79 years had a higher mean frailty index and a higher prevalence of frailty than did men. During follow-up, 49 371 deaths were recorded. After adjustment for established and potential risk factors for death, each 0·1 increment in the frailty index was associated with a higher risk of all-cause mortality (hazard ratio [HR] 1·68, 95% CI 1·66–1·71). Such associations were stronger among younger adults than among older adults (pinteraction<0·0001), with HRs per 0·1 increment of the frailty index of 1·95 (95% CI 1·87–2·03) for those younger than 50 years, 1·80 (1·76–1·83) for those aged 50–64 years, and 1·56 (1·53–1·59) for those 65 years and older. After adjustments, there was no difference between the sexes in the association between the frailty index and all-cause mortality (pinteraction=0·75). For each 0·1 increment of the frailty index, the corresponding HRs for risk of death were 1·89 (95% CI 1·83–1·94) from ischaemic heart disease, 1·84 (1·79–1·89) from cerebrovascular disease, 1·19 (1·16–1·22) from cancer, 2·54 (2·45–2·63) from respiratory disease, 1·78 (1·59–2·00) from infection, and 1·78 (1·73–1·83) from all other causes.InterpretationThe frailty index is associated with all-cause and cause-specific mortality independent of chronological age in younger and older Chinese adults. The identification of younger adults with accelerated ageing by use of surrogate measures could be useful for the prevention of premature death and the extension of healthy active life expectancy.FundingThe National Natural Science Foundation of China, the National Key R&D Program of China, the Chinese Ministry of Science and Technology, the Kadoorie Charitable Foundation, and the Wellcome Trust.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
柠檬完成签到 ,获得积分10
2秒前
glc12138发布了新的文献求助10
3秒前
5秒前
5秒前
6秒前
研友_8DAv0L发布了新的文献求助10
6秒前
6秒前
夏尔酱发布了新的文献求助10
7秒前
晓山青完成签到 ,获得积分10
9秒前
Hui发布了新的文献求助10
9秒前
汉堡包应助sirus采纳,获得10
10秒前
可爱迪应助hhhhhhh采纳,获得10
11秒前
英俊的铭应助真实的一鸣采纳,获得10
11秒前
mumu完成签到,获得积分10
11秒前
13秒前
13秒前
Liang完成签到,获得积分10
14秒前
15秒前
16秒前
mimi发布了新的文献求助10
16秒前
16秒前
李健的小迷弟应助夏尔酱采纳,获得10
17秒前
三磷酸腺苷完成签到 ,获得积分10
18秒前
19秒前
风未完成签到,获得积分10
19秒前
20秒前
Sigar完成签到 ,获得积分10
20秒前
小菠萝发布了新的文献求助30
20秒前
rr发布了新的文献求助10
21秒前
22秒前
大个应助真实的一鸣采纳,获得50
24秒前
英姑应助杭周采纳,获得10
24秒前
飞飞完成签到 ,获得积分10
25秒前
平常山河发布了新的文献求助10
26秒前
我要找到你完成签到 ,获得积分10
26秒前
happyboy2008发布了新的文献求助10
27秒前
两栖玩家完成签到 ,获得积分10
29秒前
脑洞疼应助jimskylxk采纳,获得10
29秒前
29秒前
高分求助中
Manual of Clinical Microbiology, 4 Volume Set (ASM Books) 13th Edition 1000
Sport in der Antike 800
De arte gymnastica. The art of gymnastics 600
Berns Ziesemer - Maos deutscher Topagent: Wie China die Bundesrepublik eroberte 500
Stephen R. Mackinnon - Chen Hansheng: China’s Last Romantic Revolutionary (2023) 500
Sport in der Antike Hardcover – March 1, 2015 500
Boris Pesce - Gli impiegati della Fiat dal 1955 al 1999 un percorso nella memoria 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2421768
求助须知:如何正确求助?哪些是违规求助? 2111410
关于积分的说明 5344630
捐赠科研通 1838909
什么是DOI,文献DOI怎么找? 915439
版权声明 561179
科研通“疑难数据库(出版商)”最低求助积分说明 489564