Department of Health Sciences, The Graduate School of Dong-A University, Busan 49315, Korea.
Department of Health Care and Science, Dong-A University, Busan 49315, Korea.
Int J Environ Res Public Health. 2021 Apr 28;18(9):4704. doi: 10.3390/ijerph18094704.
Gait variability (GV), which is a variable for predicting mobility issues and risk of falling in elderly people, is defined as the fluctuation in spatiotemporal characteristics from one step to the next in walking. The goal of this study was to analyze the age- and sex-related spatiotemporal variability characteristics of elderly individuals using the measurements taken while walking on a treadmill for one minute based on gait speed variation. Gait testing was conducted on 225 healthy male and female individuals aged 60-79 years who were able to walk and move on their own and, specifically, walk on a treadmill for one minute. The test was performed at three speed conditions-the preferred speed of the participant, 20% higher than the preferred speed, and 20% lower than the preferred speed-and data were recorded using shoe-type data loggers. The different age groups and sex could be distinguished using the coefficient of variance (CV) of the double support phase and gait asymmetry (GA) at the preferred speed, and CVs of stride length and stance phase at faster speed. The results indicated that the values of GV obtained from the test were used to determine the variation in gait characteristics of elderly individuals.
步态变异性(GV)是预测老年人行动问题和跌倒风险的一个变量,它被定义为行走时从一步到下一步的时空特征波动。本研究的目的是通过基于步态速度变化的在跑步机上行走一分钟的测量,分析与年龄和性别相关的老年人时空变异性特征。步态测试在 225 名年龄在 60-79 岁之间的健康男性和女性中进行,这些人能够独立行走,特别是能够在跑步机上行走一分钟。测试在三种速度条件下进行-参与者的首选速度、比首选速度高 20%的速度和比首选速度低 20%的速度-并使用鞋式数据记录器记录数据。不同的年龄组和性别可以通过首选速度下双支撑相的变异系数(CV)和步态不对称性(GA)以及更快速度下步长和站立相的 CV 来区分。结果表明,测试中获得的 GV 值用于确定老年人步态特征的变化。