文章摘要
徐传海,袁满琼,方亚.我国老年人认知衰弱转移规律及其影响因素研究[J].中华流行病学杂志,2022,43(5):722-727
我国老年人认知衰弱转移规律及其影响因素研究
Transition rules of cognitive frailty and influencing factors in the elderly in China
收稿日期:2021-10-13  出版日期:2022-05-13
DOI:10.3760/cma.j.cn112338-20211013-00792
中文关键词: 认知障碍;躯体衰弱;认知衰弱;多状态Markov模型
英文关键词: Cognitive impairment;Physical frailty;Cognitive frailty;Multi-state Markov model
基金项目:国家自然科学基金(81973144,82073669)
作者单位E-mail
徐传海 厦门大学公共卫生学院卫生技术评估福建省高校重点实验室, 厦门 361000  
袁满琼 厦门大学公共卫生学院卫生技术评估福建省高校重点实验室, 厦门 361000  
方亚 厦门大学公共卫生学院卫生技术评估福建省高校重点实验室, 厦门 361000 fangya@xmu.edu.cn 
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中文摘要:
      目的 了解我国老年人认知衰弱转移规律及其影响因素,为制定认知衰弱早期干预措施提供科学依据。方法 利用中国健康与养老追踪调查2011、2013和2015年3期数据,将个体健康状态划分为健壮-认知正常、认知障碍、躯体衰弱、认知衰弱4种,构建多状态Markov模型,探索认知衰弱转移规律及其影响因素。结果 共纳入3 470例老年人,基线为认知衰弱350例(10.09%);相较于躯体衰弱人群,认知障碍者两年后转移至认知衰弱的概率高(31.6% vs. 7.6%);认知衰弱者两年后转移至躯体衰弱状态的概率高于转移至认知障碍的概率(29.7% vs. 15.6%);女性(HR=1.599,95%CI:1.058~2.417)、共病(HR=3.035,95%CI:1.090~8.450)、抑郁(HR=1.678,95%CI:1.153~2.441)是我国老年人发生认知衰弱的危险因素,而接受过教育(HR=2.367,95%CI:1.567~3.575)是认知衰弱转移至躯体衰弱的保护因素。结论 我国老年人认知衰弱的患病率较高,认知障碍人群发生认知衰弱的概率高,性别、接受过教育、共病以及抑郁是认知衰弱发生与转移的重要影响因素。
英文摘要:
      Objective To understand the transition rules of cognitive frailty and its influencing factors in the elderly in China and provide evidence for the early intervention of cognitive frailty. Methods Data were retrospectively collected from China Health and Retirement Longitudinal Study with 3 round consecutive survey (2011, 2013, 2015) and the state of the subjects were classified into four categories: robust-normal cognitive, cognitive impairment, physical frailty, and cognitive frailty. A multi-state Markov model was established to explore the transition rules of cognitive frailty and its influencing factors. Results A total of 3 470 older adults were included, and 350 (10.09%) had cognitive frailty at baseline. After two years, the probability of cognitive frailty in the cognitive impairment population was higher than that in people with physical frailty (31.6% vs. 7.6%). Persons with cognitive frailty were more likely to become physical frailty (29.7% vs. 15.6%). Being women (HR=1.599, 95%CI: 1.058-2.417), comorbidity (HR=3.035, 95%CI: 1.090-8.450), and depression (HR=1.678, 95%CI: 1.153-2.441) were the risk factors associated with cognitive frailty in the elderly, while being educated (HR=2.367, 95%CI: 1.567-3.575) was a protective factor for the transition of cognitive frailty to physical frailty. Conclusion The prevalence of cognitive frailty is relatively high in the elderly in China. Those with cognitive impairment have a higher probability of cognitive frailty. Gender, education level, comorbidity, and depression are the main influencing factors for the occurrence and transition of cognitive frailty.
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