Effects of Integrating Wearable Activity Trackers With a Home-Based Multicomponent Exercise Intervention on Fall-Related Parameters and Physical Function in Older Adults: Randomized Controlled Trial.

IF 5.4 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Yejin Kim, Kyung Hee Park, Hye-Mi Noh
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引用次数: 0

Abstract

Background: Older adults with a history of falling often encounter challenges in participating in group exercise programs. Recent technological advances, such as activity trackers, can potentially enhance home-based exercise programs by providing continuous physical activity monitoring and feedback.

Objective: The aim of the study is to explore whether integrating wearable activity trackers with a home-based exercise intervention is effective in reducing fear of falling and improving physical function in older adults.

Methods: This was a 12-week, parallel-group, randomized controlled trial involving 30 older adults (≥60 years) with a history of falling. Participants were randomly assigned in a 1:1 ratio to either a group combining an activity tracker with a home-based multicomponent exercise intervention, which included in-person exercise sessions, exercise videos, and objective feedback via phone calls (AT+EX group) or to a group using the activity tracker only for self-monitoring (AT-only group). The primary and secondary outcomes included fall-related parameters (fear of falling assessed by the Activities-Specific Balance Confidence [ABC] and the Falls Efficacy Scale-International [FES-I] scales), depression (Short Geriatric Depression Scale), cognition (Montreal Cognitive Assessment), physical function (grip strength, Short Physical Performance Battery, Timed Up and Go [TUG] test, and 2-Minute Step Test), and body composition. Changes in the average daily step count were monitored and analyzed.

Results: Overall, 28 (mean age 74.0, SD 6.4 years; n=23, 77% female) participants completed the 12-week follow-up period (28/30, 93%). In the activity tracker and exercise group (AT+EX group), significant improvements were observed in fear of falling (15.5 points of ABC: P=.002; -5.1 points of FES-I: P=.01). The activity tracker alone group (AT-only group) also showed a significant improvement in FES-I score (-5.5 points: P=.01). Physical function significantly improved in the AT+EX group (1.1 points of Short Physical Performance Battery: P=.004; -1.4 seconds of TUG; P=.008; and 26.7 steps of 2-Minute Step Test: P=.001), whereas the AT-only group showed significant improvement only in the TUG test (-1.3 seconds: P=.002). However, no significant between-group differences were observed in the ABC score, FES-I score, or physical function. Despite no significant increase in daily step counts, both groups maintained close to 10,000 steps per day throughout the 12 weeks.

Conclusions: Both groups showed improvements in the FES-I and TUG test scores without significant between-group differences. Wearable technology, with or without an exercise intervention, seems to be an effective tool in reducing the fear of falling and improving physical function in older adults susceptible to falls.

将可穿戴运动追踪器与基于家庭的多组分运动干预相结合对老年人跌倒相关参数和身体功能的影响:随机对照试验
背景:有跌倒史的老年人在参加团体锻炼项目时经常遇到挑战。最近的技术进步,如活动追踪器,可以通过提供持续的身体活动监测和反馈来潜在地增强家庭锻炼计划。目的:本研究的目的是探讨将可穿戴活动追踪器与基于家庭的运动干预相结合是否能有效减少老年人对跌倒的恐惧并改善身体功能。方法:这是一项为期12周的平行组随机对照试验,涉及30名有跌倒史的老年人(≥60岁)。参与者以1:1的比例被随机分配到一组中,一组结合了活动追踪器和基于家庭的多组件运动干预,包括面对面的运动课程、运动视频和通过电话的客观反馈(AT+EX组),另一组只使用活动追踪器进行自我监控(AT-only组)。主要和次要结局包括跌倒相关参数(由活动-特定平衡信心量表[ABC]和跌倒功效量表-国际量表[fis - i]评估的跌倒恐惧)、抑郁(短老年抑郁量表)、认知(蒙特利尔认知评估)、身体功能(握力、短体能表现电池、计时起身和走[TUG]测试和2分钟步测试)和身体成分。监测和分析平均每日步数的变化。结果:总体28例(平均年龄74.0岁,SD 6.4岁;N =23(77%为女性)参与者完成了12周的随访期(28/30,93%)。在活动追踪器组和运动组(AT+EX组)中,观察到有显著改善的跌倒恐惧(15.5分ABC: P= 0.002;-5.1分FES-I: P= 0.01)。单独使用运动追踪器组(AT-only组)FES-I评分也有显著改善(-5.5分:P= 0.01)。AT+EX组大鼠生理功能显著改善(短生理性能电池1.1分:P= 0.004;-1.4秒拖轮;P = .008;2分钟步测试26.7步(P=.001),而at组仅在TUG测试(-1.3秒:P=.002)中有显著改善。然而,在ABC评分、FES-I评分或身体功能方面,组间无显著差异。尽管每天的步数没有显著增加,但在12周内,两组人每天都保持了近1万步。结论:两组患者FES-I和TUG成绩均有改善,组间差异无统计学意义。可穿戴技术,无论有无运动干预,似乎都是一种有效的工具,可以减少对跌倒的恐惧,改善易跌倒的老年人的身体功能。
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来源期刊
JMIR mHealth and uHealth
JMIR mHealth and uHealth Medicine-Health Informatics
CiteScore
12.60
自引率
4.00%
发文量
159
审稿时长
10 weeks
期刊介绍: JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636. The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
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