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步态中障碍物诱发绊倒后恢复策略识别的运动学测量方法

Kinematic Measures for Recovery Strategy Identification following an Obstacle-Induced Trip in Gait.

作者信息

Wang Shuaijie, Bhatt Tanvi

机构信息

Department of Physical Therapy, University of Illinois at Chicago, Chicago, Illinois, USA.

出版信息

J Mot Behav. 2023;55(2):193-201. doi: 10.1080/00222895.2022.2146043. Epub 2023 Jan 5.

Abstract

This study aimed to identify the kinematic measures determining balance outcome following an over-ground trip perturbation. 117 healthy older adults who experienced laboratory-induced trips were divided into loss of balance (LOB) and no LOB groups. The LOB group contained 27 fallers and 34 non-fallers, and the no LOB group contained 21 participants using cross-over strategy and 35 participants using obstacle-hit strategy. A 2-class hierarchical regression model for balance loss showed that margin of stabilty could determine the balance outcomes (LOB or not) with an overall accuracy of 92.7%. The 4-class model for recovery strategies showed that the combination of margin of stability, trunk angle, and COM velocity could determine 81.9% of strategies. Our findings would enhance intervention development for populations at risk of trip-induced falls.

摘要

本研究旨在确定在地面行走时绊倒扰动后决定平衡结果的运动学指标。117名经历过实验室诱导绊倒的健康老年人被分为失去平衡(LOB)组和未失去平衡组。LOB组包括27名跌倒者和34名未跌倒者,未失去平衡组包括21名采用交叉策略的参与者和35名采用障碍物撞击策略的参与者。一个用于平衡丧失的二级分层回归模型表明,稳定裕度可以以92.7%的总体准确率确定平衡结果(是否失去平衡)。一个用于恢复策略的四级模型表明,稳定裕度、躯干角度和质心速度的组合可以确定81.9%的策略。我们的研究结果将加强针对有绊倒致跌倒风险人群的干预措施开发。

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