Institute of Sports and Sport Science, Heidelberg University, Heidelberg, Germany,
Division of Physiotherapy, Department of Applied Health Sciences, Hochschule für Gesundheit, Bochum, Germany,
Gerontology. 2024;70(3):327-335. doi: 10.1159/000535846. Epub 2023 Dec 18.
The association between specific motor capacity variables obtained in a laboratory and parameters of daily-life mobility performance (MP) obtained via wearables is still unclear. The Timed Up-and-Go (TUG) test is a widely used motor capacity tests available either as traditional hand-stopped TUG or as instrumented TUG (iTUG), providing specific information about its subphases. This study aimed to: (1) estimate the association between the TUG and specific parameters reflecting average and maximum daily-life MP, (2) estimate the benefits of the iTUG in terms of explaining MP in daily life compared to the TUG.
The present study was a cross-sectional analysis using baseline data of 294 older persons (mean age: 76.7 ± 5.3 years). Univariate linear regression analysis was performed to delineate the coefficient of determination between TUG time and participants' MP. MP variables containing mean cadence (MCA) to represent average performance and the 95th percentile of mean cadence of walks with more than three steps (p95>3stepsMCA) to represent maximum performance. To determine whether the iTUG variables give more information about MP, a stepwise multivariate regression analysis between iTUG variables and the p95>3stepsMCA variable to represent maximum performance was conducted.
The univariate regression models revealed associations of the TUG with MCA (adjusted R2 = 0.078, p < 0.001) and p95>3stepsMCA (adjusted R2 = 0.199, p < 0.001). The multivariate stepwise regression models revealed a total explanation of maximum daily-life MP (p95>3stepsMCA) of the TUG (adjusted R2 = 0.199, p < 0.001) versus iTUG (adjusted R2 = 0.278, p < 0.010).
DISCUSSION/CONCLUSION: This study shows that the TUG better reflects maximum daily-life MP than average daily-life MP. Moreover, we demonstrate the added value of the iTUG for a more accurate estimation of daily MP compared to the traditional TUG. The iTUG is recommended to estimate maximum daily-life MP in fall-prone older adults. The study is a step toward a specific assessment paradigm using capacity variables from the iTUG to estimate maximum daily-life MP.
在实验室中获得的特定运动能力变量与可穿戴设备获得的日常生活活动能力（MP）参数之间的关联尚不清楚。计时起立行走测试（TUG）是一种广泛使用的运动能力测试，可作为传统的手动停止 TUG 或仪器化 TUG（iTUG）进行，可提供其亚阶段的具体信息。本研究旨在：（1）评估 TUG 与反映日常活动中平均和最大 MP 的特定参数之间的关联；（2）估计 iTUG 在解释日常生活中的 MP 方面相对于 TUG 的优势。
本研究是一项使用 294 名老年人（平均年龄：76.7 ± 5.3 岁）的基线数据进行的横断面分析。进行单变量线性回归分析，以描绘 TUG 时间与参与者 MP 之间的决定系数。MP 变量包含平均步频（MCA），以代表平均表现，以及代表最大表现的超过三个步骤的平均步频的第 95 个百分位数（p95>3stepsMCA）。为了确定 iTUG 变量是否提供了有关 MP 的更多信息，对 iTUG 变量与代表最大表现的 p95>3stepsMCA 变量之间进行了逐步多元回归分析。
单变量回归模型显示 TUG 与 MCA（调整后的 R2 = 0.078，p < 0.001）和 p95>3stepsMCA（调整后的 R2 = 0.199，p < 0.001）之间存在关联。多元逐步回归模型显示 TUG 对最大日常 MP（p95>3stepsMCA）的总体解释（调整后的 R2 = 0.199，p < 0.001）与 iTUG（调整后的 R2 = 0.278，p < 0.010）相比。
讨论/结论：本研究表明，TUG 比平均日常 MP 更能反映最大日常 MP。此外，我们证明了 iTUG 对于更准确估计日常 MP 比传统 TUG 更有价值。建议在易跌倒的老年人中使用 iTUG 来估计最大的日常活动能力。这项研究是朝着使用 iTUG 的能力变量来估计最大日常活动能力的特定评估范式迈出的一步。
