Relationship between Timed Up and Go performance and quantitative biomechanical measures of balance

Prasad A. Tendolkar, Oluwaseun Ibironke, G. Marchesi, A. De Luca, Valentina Squeri, Karen J. Nolan, R. Pilkar, K. Karunakaran
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Abstract

Traumatic brain injury (TBI) impairs sensory–motor functions, with debilitating consequences on postural control and balance, which persist during the chronic stages of recovery. The Timed Up and Go (TUG) test is a reliable, safe, time-efficient, and one of the most widely used clinical measures to assess gait, balance, and fall risk in TBI patients and is extensively used in inpatient and outpatient settings. Although the TUG test has been used extensively due to its ease of performance and excellent reliability, limited research has been published that investigates the relationship between TUG performance and quantitative biomechanical measures of balance. The objective of this paper was to quantify the relationship between biomechanical variables of balance and the TUG scores in individuals with chronic TBI. Regression models were constructed using six biomechanical variables to predict TUG scores. The model that conservatively removed gait speed (i.e., TUG-1/GS) gave the best results, achieving a root-mean-square error of ∼±2 s and explaining over 69% of the variability.
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定时上下楼成绩与平衡的定量生物力学测量之间的关系
创伤性脑损伤(TBI)会损害感觉-运动功能,对姿势控制和平衡造成削弱性后果,并在长期恢复阶段持续存在。定时起立行走(TUG)测试是一种可靠、安全、省时的测试方法,也是评估 TBI 患者步态、平衡和跌倒风险最广泛使用的临床测量方法之一,在住院和门诊环境中被广泛使用。尽管 TUG 测试因其简便易行和极佳的可靠性而被广泛使用,但有关 TUG 性能与平衡的定量生物力学测量之间关系的研究却十分有限。本文旨在量化慢性 TBI 患者的平衡生物力学变量与 TUG 分数之间的关系。本文利用六个生物力学变量构建了回归模型来预测 TUG 分数。保守去除步速的模型(即 TUG-1/GS)结果最佳,均方根误差为 ∼±2 s,可解释 69% 以上的变异性。
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