Lee Su-Hyun, Kim Eunmi, Kim Jinuk, Lee Hwang-Jae, Kim Yun-Hee
Department of Physical and Rehabilitation Medicine, Sungkyunkwan University School of Medicine, Suwon, 16419, Republic of Korea.
Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, 16419, Republic of Korea.
BMC Geriatr. 2025 Mar 22;25(1):192. doi: 10.1186/s12877-025-05811-1.
With increasing age, individuals are more likely to experience physical disabilities, functional declines, and mobility limitations. Wearable robots or exoskeletons are relatively new technologies that can help address these issues, reduce healthcare costs, and support home healthcare, decreasing the burden of chronic disease. The purpose of this study was to investigate the usability of Bot Fit after task-specific physical activities and functional gait training, as well as to examine the effects of a wearable hip exoskeleton, Bot Fit, on gait, physical function, and muscle strength in older adults living in residential care facilities.
A total of 32 older adults living in residential care facilities were included in this uncontrolled study. All participants performed eight weeks of task-specific physical activities and functional gait training using Bot Fit, with three exercise sessions per week (24 sessions in total). They were assessed at three time points: pre-test (baseline, T0), mid-test (after the 12 exercise sessions, T1), and post-test (after the last exercise session, T2). Each assessment evaluated functional outcomes (10-m walk test [10MWT], timed up-and-go [TUG], 6-min walk test [6MWT], Berg balance scale [BBS], four-square step test [FSST], and geriatric depression scale-short form [GDS-SF]), as well as muscle strength of the lower extremities. After the post-test, the participants completed a questionnaire to evaluate Bot Fit usability.
A significant improvement was observed in all physical assessments, including the 10MWT, TUG, 6MWT, BBS, and FSST, from T0 to T2. It is noteworthy that 10MWT, TUG, and BBS also changed significantly from T0 to T1 and from T1 to T2. Muscle strength in hip flexion, hip extension, knee flexion, knee extension, ankle dorsiflexion, and ankle plantar flexion all improved significantly from T0 to T2, with knee flexion, knee extension, ankle dorsiflexion, and ankle plantar flexion showing significant improvements at all time points. Additionally, on the usability questionnaire, most participants provided positive feedback about their experience with Bot Fit.
The findings of this study suggest that task-specific physical activity and functional gait training with Bot Fit have several key advantages for improving gait, physical function, and muscle strength in older adults living in residential care facilities. The findings support the application of Bot Fit to physical activity and functional gait training to improve age-related declines in physical function and muscle strength and to provide important insights into future robot-assisted exercise devices.
URL: https://register.
gov/ . Unique identifier: NCT04610190 (10/26/2020).
随着年龄的增长,个体更有可能出现身体残疾、功能衰退和行动受限。可穿戴机器人或外骨骼是相对较新的技术,有助于解决这些问题,降低医疗成本,并支持家庭医疗保健,减轻慢性病负担。本研究的目的是调查特定任务身体活动和功能性步态训练后Bot Fit的可用性,并研究可穿戴式髋部外骨骼Bot Fit对居住在养老院的老年人的步态、身体功能和肌肉力量的影响。
本非对照研究共纳入32名居住在养老院的老年人。所有参与者使用Bot Fit进行了为期八周的特定任务身体活动和功能性步态训练,每周进行三次锻炼(共24次)。在三个时间点对他们进行评估:测试前(基线,T0)、测试中期(12次锻炼后,T1)和测试后(最后一次锻炼后,T2)。每次评估都包括功能结果(10米步行测试[10MWT]、计时起立行走测试[TUG]、6分钟步行测试[6MWT]、伯格平衡量表[BBS]、四方步测试[FSST]和老年抑郁量表简表[GDS-SF])以及下肢肌肉力量。测试后,参与者完成一份问卷以评估Bot Fit的可用性。
从T0到T2,所有身体评估指标,包括10MWT、TUG、6MWT、BBS和FSST均有显著改善。值得注意的是,10MWT、TUG和BBS从T0到T1以及从T1到T2也有显著变化。从T0到T2,髋部屈曲、髋部伸展、膝部屈曲、膝部伸展、踝关节背屈和踝关节跖屈的肌肉力量均显著提高,膝部屈曲、膝部伸展、踝关节背屈和踝关节跖屈在所有时间点均有显著改善。此外,在可用性问卷上,大多数参与者对他们使用Bot Fit的体验给予了积极反馈。
本研究结果表明,使用Bot Fit进行特定任务身体活动和功能性步态训练对改善居住在养老院的老年人的步态、身体功能和肌肉力量具有几个关键优势。这些发现支持将Bot Fit应用于身体活动和功能性步态训练,以改善与年龄相关的身体功能和肌肉力量下降,并为未来的机器人辅助运动设备提供重要见解。
网址:https://register.
gov/ 。唯一标识符:NCT04610190(2020年10月26日)。