McRoberts, Raamweg 43, 2596 HN The Hague, The Netherlands.
Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Van der Boechorststraat 9, 1081 BT Amsterdam, The Netherlands.
Sensors (Basel). 2018 Apr 17;18(4):1235. doi: 10.3390/s18041235.
The ability to stand up from a sitting position is essential for older adults to live independently. Body-fixed inertial sensors may provide an approach for quantifying the sit-to-stand (STS) in clinical settings. The aim of this study was to determine whether measurements of STS movements using body-fixed sensors yield parameters that are informative regarding changes in STS performance in older adults with reduced muscle strength. In twenty-seven healthy older adults, handgrip strength was assessed as a proxy for overall muscle strength. Subjects were asked to stand up from a chair placed at three heights. Trunk movements were measured using an inertial sensor fixed to the back. Duration, angular range, and maximum angular velocity of STS phases, as well as the vertical velocity of the extension phase, were calculated. Backwards elimination using Generalized Estimating Equations was used to determine if handgrip strength predicted the STS durations and trunk kinematics. Weaker subjects (i.e., with lower handgrip strength) were slower during the STS and showed a larger flexion angular range and a larger extension angular range. In addition, weaker subjects showed a greater maximum angular velocity, which increased with lower seat heights. Measurements with a single inertial sensor did reveal that older adults with lower handgrip strength employed a different strategy to stand up from a sitting position, involving more dynamic use of the trunk. This effect was greatest when elevating body mass. Trunk kinematic parameters were more sensitive to reduced muscle strength than durations.
从坐姿站起来的能力对于老年人独立生活至关重要。身体固定惯性传感器可用于量化临床环境中的坐站(STS)。本研究旨在确定使用身体固定传感器测量 STS 运动是否可以提供有关肌肉力量减弱的老年人 STS 性能变化的信息。在 27 名健康老年人中,握力评估为整体肌肉力量的代表。要求受试者从放在三个高度的椅子上站起来。使用固定在背部的惯性传感器测量躯干运动。计算 STS 各阶段的持续时间、角范围和最大角速度,以及伸展阶段的垂直速度。使用广义估计方程进行逐步消除,以确定握力是否可以预测 STS 持续时间和躯干运动学。较弱的受试者(即握力较低的受试者)在 STS 期间较慢,并且表现出更大的弯曲角度范围和更大的伸展角度范围。此外,较弱的受试者显示出更大的最大角速度,随着座椅高度的降低而增加。单次惯性传感器的测量确实表明,握力较低的老年人采用了不同的策略从坐姿站起来,涉及到躯干更动态的使用。当提升体重时,这种效果最大。与持续时间相比,躯干运动学参数对肌肉力量的降低更为敏感。