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CAN STABILITY REALLY PREDICT AN IMPENDING SLIP-RELATED FALL AMONG OLDER ADULTS?

机译:稳定性真的可以预测老年人中即将发生的与滑有关的坠落吗?

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摘要

The primary purpose of this study was to systematically evaluate and compare the predictive power of falls for a battery of stability indices, obtained during normal walking among community-dwelling older adults. One hundred and eighty seven community-dwelling older adults participated in the study. After walking regularly for 20 strides on a walkway, participants were subjected to an unannounced slip during gait under the protection of a safety harness. Full body kinematics and kinetics were monitored during walking using a motion capture system synchronized with force plates. Stability variables, including feasible-stability-region measurement, margin of stability, the maximum Floquet multiplier, the Lyapunov exponents (short- and long-term), and the variability of gait parameters (including the step length, step width, and step time) were calculated for each subject. Accuracy of predicting slip outcome (fall vs. recovery) was examined for each stability variable using logistic regression. Results showed that the feasible-stability-region measurement predicted fall incidence among these subjects with the highest accuracy (68.4%). Except for the step width (with an accuracy of 60.2%), no other stability variables could differentiate fallers from those who did not fall for the sample studied in this study. The findings from the present study could provide guidance to identify individuals at increased risk of falling using the feasible-stability-region measurement or variability of the step width.
机译:这项研究的主要目的是系统评估和比较跌倒对一系列稳定指数的预测能力,该指数是在社区居住的老年人中正常行走时获得的。一百八十七名居住在社区中的老年人参加了这项研究。定期在人行道上行走20步后,在安全带的保护下,参与者在步态中遭受了意外的滑倒。使用与测力板同步的运动捕捉系统,监测步行过程中的全身运动学和动力学。稳定性变量,包括可行区域稳定性测量,稳定性裕度,最大Floquet乘数,Lyapunov指数(短期和长期)以及步态参数的可变性(包括步长,步长和步长) )是针对每个主题计算的。使用逻辑回归检验了每个稳定性变量的预测滑倒结果(下降与恢复)的准确性。结果表明,可行稳定区域测量以最高的准确度(68.4%)预测了这些受试者的跌倒发生率。除了步幅(精度为60.2%)外,没有其他稳定性变量可以将跌倒者与本研究中未跌落的人区分开。本研究的发现可以提供指导,以使用可行的稳定区域测量或步幅变化来确定跌倒风险增加的人。

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