Literature DB >> 28295912

Training with a balance exercise assist robot is more effective than conventional training for frail older adults.

Kenichi Ozaki1, Izumi Kondo1, Satoshi Hirano2, Hitoshi Kagaya2, Eiichi Saitoh2, Aiko Osawa1, Yoichi Fujinori3.   

Abstract

AIM: To examine the efficacy of postural strategy training using a balance exercise assist robot (BEAR) as compared with conventional balance training for frail older adults.
METHODS: The present study was designed as a cross-over trial without a washout term. A total of 27 community-dwelling frail or prefrail elderly residents (7 men, 20 women; age range 65-85 years) were selected from a volunteer sample. Two exercises were prepared for interventions: robotic exercise moving the center of gravity by the balance exercise assist robot system; and conventional balance training combining muscle-strengthening exercise, postural strategy training and applied motion exercise. Each exercise was carried out twice a week for 6 weeks. Participants were allocated randomly to either the robotic exercise first group or the conventional balance exercise first group. MAIN OUTCOME MEASURES: preferred and maximal gait speeds, tandem gait speeds, timed up-and-go test, functional reach test, functional base of support, center of pressure, and muscle strength of the lower extremities were assessed before and after completion of each exercise program.
RESULTS: Robotic exercise achieved significant improvements for tandem gait speed (P = 0.012), functional reach test (P = 0.002), timed up-and-go test (P = 0.023) and muscle strength of the lower extremities (P = 0.001-0.030) compared with conventional exercise.
CONCLUSIONS: In frail or prefrail older adults, robotic exercise was more effective for improving dynamic balance and lower extremity muscle strength than conventional exercise. These findings suggest that postural strategy training with the balance exercise assist robot is effective to improve the gait instability and muscle weakness often seen in frail older adults. Geriatr Gerontol Int 2017; 17: 1982-1990.
© 2017 The Authors. Geriatrics & Gerontology International published by John Wiley & Sons Australia, Ltd on behalf of Japan Geriatrics Society.

Entities:  

Keywords:  assistive technology; frailty; postural balance; rehabilitation

Mesh:

Year:  2017        PMID: 28295912     DOI: 10.1111/ggi.13009

Source DB:  PubMed          Journal:  Geriatr Gerontol Int        ISSN: 1447-0594            Impact factor:   2.730


  10 in total

1.  Delaying and reversing frailty: a systematic review of primary care interventions.

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2.  Artificial Intelligence in Health Care: Focus on Diabetes Management.

Authors:  Ambika G Unnikrishnan
Journal:  Indian J Endocrinol Metab       Date:  2019 Sep-Oct

3.  The Relationship between Postural Stability and Lower-Limb Muscle Activity Using an Entropy-Based Similarity Index.

Authors:  Chien-Chih Wang; Bernard C Jiang; Pei-Min Huang
Journal:  Entropy (Basel)       Date:  2018-04-26       Impact factor: 2.524

Review 4.  Ambient assisted living technology-mediated interventions for older people and their informal carers in the context of healthy ageing: A scoping review.

Authors:  Maria Y Nilsson; Stefan Andersson; Lennart Magnusson; Elizabeth Hanson
Journal:  Health Sci Rep       Date:  2020-12-28

5.  Effects of Balance Exercise Assist Robot training for patients with hemiparetic stroke: a randomized controlled trial.

Authors:  Seigo Inoue; Yohei Otaka; Masashi Kumagai; Masafumi Sugasawa; Naoki Mori; Kunitsugu Kondo
Journal:  J Neuroeng Rehabil       Date:  2022-01-28       Impact factor: 4.262

6.  Identification of the Exercise Load When Using a Balance Exercise Assist Robot.

Authors:  Naoki Sasanuma; Koichiro Sota; Yuki Uchiyama; Norihiko Kodama; Kazuhisa Domen
Journal:  Prog Rehabil Med       Date:  2021-12-25

7.  Benefits of a Balance Exercise Assist Robot in the Cardiac Rehabilitation of Older Adults with Cardiovascular Disease: A Preliminary Study.

Authors:  Kakeru Hashimoto; Akihiro Hirashiki; Kenichi Ozaki; Koki Kawamura; Junpei Sugioka; Shunya Tanioku; Kenji Sato; Ikue Ueda; Naoki Itoh; Kenichiro Nomoto; Manabu Kokubo; Atsuya Shimizu; Izumi Kondo
Journal:  J Cardiovasc Dev Dis       Date:  2022-06-12

8.  Kinematic, kinetic, and electromyographic characteristics during quiet standing on a balance exercise assist robot.

Authors:  Norihide Itoh; Daisuke Imoto; Shuichi Kubo; Masaki Yamaguchi; Naoto Shimizu; Shogo Toyama; Yasuo Mikami; Toshikazu Kubo
Journal:  J Phys Ther Sci       Date:  2018-10-12

9.  Exoskeletons With Virtual Reality, Augmented Reality, and Gamification for Stroke Patients' Rehabilitation: Systematic Review.

Authors:  Omar Mubin; Fady Alnajjar; Nalini Jishtu; Belal Alsinglawi; Abdullah Al Mahmud
Journal:  JMIR Rehabil Assist Technol       Date:  2019-09-08

10.  Effectiveness of robotic balance training on postural instability in patients with mild Parkinson's disease: A pilot, single blind, randomized controlled trial.

Authors:  Stefania Spina; Salvatore Facciorusso; Nicoletta Cinone; Raffaella Armiento; Alessandro Picelli; Christian Avvantaggiato; Chiara Ciritella; Pietro Fiore; Andrea Santamato
Journal:  J Rehabil Med       Date:  2021-02-17       Impact factor: 2.912

  10 in total

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