Sociodemographic Factors Predict Incident Mild Cognitive Impairment: A Brief Review and Empirical Study

医学 纵向研究 老年学 比例危险模型 队列研究 痴呆 接收机工作特性 入射(几何) 累积发病率 认知 队列 内科学 精神科 病理 光学 物理 疾病
作者
Shuyi Jin,Chenxi Li,Jiani Miao,Jingyi Sun,Zhenqing Yang,Xingqi Cao,Kaili Sun,Xiaoting Liu,Lina Ma,Xin Xu,Zuyun Liu
出处
期刊:Journal of the American Medical Directors Association [Elsevier BV]
卷期号:24 (12): 1959-1966.e7 被引量:14
标识
DOI:10.1016/j.jamda.2023.08.016
摘要

Objectives Mild cognitive impairment (MCI) is a transitional stage between normal cognitive aging and dementia that increases the risk of progressive cognitive decline. Early prediction of MCI could be beneficial for identifying vulnerable individuals in the community and planning primary and secondary prevention to reduce the incidence of MCI. Design A narrative review and cohort study. Setting and Participants We review the MCI prediction based on the assessment of sociodemographic factors. We included participants from 3 surveys: 8915 from wave 2011/2012 of the China Health and Retirement Longitudinal Study (CHARLS), 9765 from the 2011 Chinese Longitudinal Healthy Longevity Survey (CLHLS), and 1823 from the 2014 Rugao Longevity and Ageing Study (RuLAS). Methods We searched in PubMed, Embase, and Web of Science Core Collection between January 1, 2019, and December 30, 2022. To construct the composite risk score, a multivariate Cox proportional hazards regression model was used. The performance of the score was assessed using receiver operating characteristic (ROC) curves. Furthermore, the composite risk score was validated in 2 longitudinal cohorts, CLHLS and RuLAS. Results We concluded on 20 articles from 892 available. The results suggested that the previous models suffered from several defects, including overreliance on cross-sectional data, low predictive utility, inconvenient measurement, and inapplicability to developing countries. Our empirical work suggested that the area under the curve for a 5-year MCI prediction was 0.861 in CHARLS, 0.797 in CLHLS, and 0.823 in RuLAS. We designed a publicly available online tool for this composite risk score. Conclusions and Implications Attention to these sociodemographic factors related to the incidence of MCI can be beneficially incorporated into the current work, which will set the stage for better early prediction of MCI before its incidence and for reducing the burden of the disease.
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
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
今后应助fyc采纳,获得10
刚刚
玛卡巴卡完成签到,获得积分10
2秒前
乐乐应助忆枫采纳,获得10
3秒前
天天快乐应助冬日采纳,获得10
3秒前
3秒前
hh完成签到,获得积分10
4秒前
咖啡哪有读博苦完成签到,获得积分20
4秒前
mzs发布了新的文献求助10
5秒前
科研通AI2S应助ely采纳,获得10
5秒前
5秒前
哇噻关注了科研通微信公众号
5秒前
leery发布了新的文献求助10
5秒前
7秒前
酷炫的浩阑完成签到,获得积分10
9秒前
9秒前
10秒前
娇气的夜云完成签到,获得积分10
10秒前
111发布了新的文献求助10
11秒前
雨田完成签到,获得积分10
11秒前
12秒前
12秒前
13秒前
13秒前
学习土土完成签到,获得积分10
14秒前
科研通AI6.2应助Liang采纳,获得10
14秒前
NexusExplorer应助le采纳,获得10
14秒前
852应助willing-li采纳,获得10
15秒前
蜘蛛网发布了新的文献求助10
15秒前
16秒前
开放珊发布了新的文献求助10
16秒前
无私水卉发布了新的文献求助20
16秒前
16秒前
领导范儿应助zimo采纳,获得10
16秒前
南洲发布了新的文献求助30
16秒前
英吉利25发布了新的文献求助10
17秒前
lemon发布了新的文献求助10
17秒前
18秒前
忆枫发布了新的文献求助10
18秒前
CodeCraft应助毗昙采纳,获得10
19秒前
19秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
HYDROLYSE ACIDE DE QUELQUES DIOXASPIROCYCLANES 1314
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Navigating Normative Orders. Interdisciplinary Perspectives 800
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7747815
求助须知:如何正确求助?哪些是违规求助? 9296109
关于积分的说明 20233424
捐赠科研通 7329094
什么是DOI,文献DOI怎么找? 3308716
关于科研通互助平台的介绍 2460470
邀请新用户注册赠送积分活动 2320653