Suppr超能文献

老年人的个体内变异性与跌倒

Intraindividual variability and falls in older adults.

作者信息

Bauermeister Sarah, Sutton Graham, Mon-Williams Mark, Wilkie Richard, Graveson Jack, Cracknell Alison, Wilkinson Charles, Holt Raymond, Bunce David

机构信息

School of Psychology, University of Leeds.

St. James University Hospital, Leeds Teaching Hospitals NHS Trust.

出版信息

Neuropsychology. 2017 Jan;31(1):20-27. doi: 10.1037/neu0000328. Epub 2016 Nov 10.

Abstract

OBJECTIVE

We investigated whether a simple measure of reaction time (RT) intraindividual variability (IIV) was associated with falls in older adults. Falls and fall-related injuries represent a major cost to health care systems, it is therefore critically important to find measures that can readily identify older adults at greater risk of falling.

METHOD

Cognitive and motor function were investigated in 108 adults aged 53 to 93 years (M = 73.49) recruited across the local community and hospital outpatient department. Forty-two participants had experienced either an injurious fall, or multiple falls, in the previous 2 years.

RESULTS

Logistic regression suggested that fallers could be distinguished from nonfallers by greater medication use, IIV, postural sway, weaker grip strength and slower gait speed. Structural equation models revealed that IIV was predictive of falls via the mediating variable of motor function (e.g., gait). IIV also predicted higher order cognition (executive function) but higher order cognitive function did not uniquely predict falls or account for the associations between IIV and falls.

CONCLUSIONS

These findings indicate that IIV measures capture important aspects of cognitive and motor decline and may have considerable potential in identifying older adults at risk of falling in health care and community settings. (PsycINFO Database Record

摘要

目的

我们研究了反应时间(RT)个体内变异性(IIV)这一简单指标是否与老年人跌倒有关。跌倒及与跌倒相关的损伤给医疗保健系统带来了巨大成本,因此找到能够轻松识别出跌倒风险更高的老年人的指标至关重要。

方法

对从当地社区和医院门诊部招募的108名年龄在53至93岁(平均年龄M = 73.49岁)的成年人进行了认知和运动功能调查。42名参与者在过去两年中经历过一次有损伤的跌倒或多次跌倒。

结果

逻辑回归分析表明,通过更多的药物使用、IIV、姿势摇摆、较弱的握力和较慢的步态速度,可以区分跌倒者和未跌倒者。结构方程模型显示,IIV通过运动功能(如步态)这一中介变量来预测跌倒。IIV还预测了高阶认知(执行功能),但高阶认知功能并不能唯一预测跌倒,也无法解释IIV与跌倒之间的关联。

结论

这些发现表明,IIV指标捕捉到了认知和运动功能衰退的重要方面,在识别医疗保健和社区环境中跌倒风险较高的老年人方面可能具有相当大的潜力。(《心理学文摘数据库记录》 )

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验