Department of Neurology and Neuroscience, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Department of Sports and Sport Science, University of Freiburg, Freiburg, Germany.
BMC Geriatr. 2023 Aug 11;23(1):487. doi: 10.1186/s12877-023-04150-3.
There is ample evidence that mobility abilities between healthy young and elderly people differ. However, we do not know whether these differences are based on different lower leg motor capacity or instead reveal a general motor condition that could be detected by monitoring upper-limb motor behavior. We therefore captured body movements during a standard mobility task, namely the Timed Up and Go test (TUG) with subjects following different instructions while performing a rapid, repetitive goal-directed arm-movement test (arm-movement test). We hypothesized that we would be able to predict gait-related parameters from arm motor behavior, even regardless of age.
Sixty healthy individuals were assigned to three groups (young: mean 26 ± 3 years, middle-aged 48 ± 9, old 68 ± 7). They performed the arm-movement and TUG test under three conditions: preferred (at preferred movement speed), dual-task (while counting backwards), and fast (at fast movement speed). We recorded the number of contacts within 20 s and the TUG duration. We also extracted TUG walking sequences to analyze spatiotemporal gait parameters and evaluated the correlation between arm-movement and TUG results.
The TUG condition at preferred speed revealed differences in gait speed and step length only between young and old, while dual-task and fast execution increased performance differences significantly among all 3 groups. Our old group's gait speed decreased the most doing the dual-task, while the young group's gait speed increased the most during the fast condition. As in our TUG results, arm-movements were significant faster in young than in middle-aged and old. We observed significant correlations between arm movements and the fast TUG condition, and that the number of contacts closely predicts TUG time and gait speed. This prediction is more accurate when including age.
We found that the age-related decline in mobility performance that TUG reveals strongly depends on the test instruction: the dual-task and fast condition clearly strengthened group contrasts. Interestingly, a fast TUG performance was predictable by the performance in a fast repetitive goal-directed arm-movements test, even beyond the age effect. We assume that arm movements and the fast TUG condition reflect similarly reduced motor function.
German Clinical Trials Register (DRKS) number: DRKS00016999, prospectively registered on March, 26, 2019.
有充分的证据表明,健康的年轻人和老年人之间的移动能力存在差异。然而,我们不知道这些差异是基于不同的小腿运动能力,还是反映了一种可以通过监测上肢运动行为来发现的一般运动状况。因此,我们在一项标准的移动任务中捕捉身体运动,即计时起立行走测试(TUG),同时要求受试者在执行快速、重复的目标导向手臂运动测试(手臂运动测试)时遵循不同的指令。我们假设,即使不考虑年龄,我们也能够根据手臂运动行为来预测与步态相关的参数。
60 名健康个体被分为三组(年轻组:平均 26±3 岁,中年组 48±9 岁,老年组 68±7 岁)。他们在三种条件下进行手臂运动和 TUG 测试:首选(以首选速度移动)、双任务(同时倒计数)和快速(以快速速度移动)。我们记录 20 秒内的接触次数和 TUG 持续时间。我们还提取 TUG 行走序列来分析时空步态参数,并评估手臂运动与 TUG 结果之间的相关性。
首选速度的 TUG 条件仅在年轻和老年组之间显示出步态速度和步长的差异,而双任务和快速执行则显著增加了所有 3 组之间的性能差异。我们的老年组在执行双任务时步态速度下降最多,而年轻组在快速条件下步态速度增加最多。与我们的 TUG 结果一样,年轻人的手臂运动速度明显快于中老年人。我们观察到手臂运动与快速 TUG 条件之间存在显著相关性,接触次数可以很好地预测 TUG 时间和步态速度。当包括年龄时,这种预测更加准确。
我们发现,TUG 揭示的与年龄相关的移动性能下降在很大程度上取决于测试指令:双任务和快速条件明显增强了组间对比。有趣的是,快速 TUG 性能可以通过快速重复目标导向手臂运动测试的性能来预测,甚至超出了年龄的影响。我们假设手臂运动和快速 TUG 条件反映了类似的运动功能降低。
德国临床试验注册处(DRKS)编号:DRKS00016999,于 2019 年 3 月 26 日前瞻性注册。