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The Effect of Walking Speed on Gait Variability in Healthy Young Middle-aged and Elderly Individuals

机译:步行速度对健康的年轻人中年人和老年人的步态变异性的影响

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摘要

Previous research with healthy young adults has suggested that the temporal structure of gait variability is not random but shows self-similarity that is dependent on speed. Specifically, the strength of the long-range correlation of stride intervals follows a quadratic relationship with the minimum values at the respective preferred walking speed (PWS). The purpose of this study was to investigate if this relationship is affected by increasing age. Ten healthy young, seven healthy, middle-aged and seven healthy, elderly adults completed five-minute walking trials at 80%, 90%, 100%, 110% and 120% of their PWS on a treadmill. We investigated the temporal structure of gait variability by using detrended fluctuation analysis. In addition, we computed the Coefficient of Variation (CV) to identify effects on amount of gait variability. Our results revealed a significant quadratic relationship between the temporal structure of gait variability and speed for all groups extending the previously reported existence of such a relationship in healthy young adults to older individuals. However, only significant negative linear relationships were found between amount of variability and speed providing support that this relationship is not quadratic but linear across individuals of different ages. In addition, we found that the examination of the temporal structure of gait variability is more sensitive in differentiating middle-age and younger individuals. If middle-age is where the aging process starts, then measures of the temporal structure of gait variability are essential as prognostic and diagnostic tools of aging.
机译:先前对健康的年轻人的研究表明,步态变化的时间结构不是随机的,而是显示出与速度有关的自相似性。具体地,步幅间隔的远距离相关的强度在各个优选步行速度(PWS)下遵循与最小值的二次关系。这项研究的目的是调查这种关系是否受到年龄增长的影响。十名健康的年轻人,七名健康的中年和七名健康的老年人在跑步机上完成了其PWS的80%,90%,100%,110%和120%的五分钟步行试验。我们通过使用去趋势波动分析调查了步态变异的时间结构。此外,我们计算了变异系数(CV)以识别对步态变异量的影响。我们的研究结果表明,所有群体的步态变异性时间结构和速度之间均存在显着的二次关系,从而将先前报道的这种关系存在于健康的年轻成年人中。但是,在变异量和速度之间仅发现了显着的负线性关系,这提供了这种关系不是二次关系而是跨不同年龄个体的线性关系的支持。此外,我们发现步态变化的时间结构的检查在区分中年和年轻个体时更为敏感。如果中年是衰老过程开始的地方,那么步态变异性的时间结构测量对于衰老的预后和诊断工具至关重要。

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