Zoe A. Schafer
A personalised exercise programme for individuals with lower limb amputation reduces falls and improves gait biomechanics: A block randomised controlled trial
Schafer, Zoe A.; Perry, John L.; Vanicek, Natalie
Authors
Abstract
Background: Lower limb amputees (LLAs) are at increased risk of falling due to the inherent asymmetry resulting from their limb loss, muscle weakness and other neuro-musculoskeletal limitations. Research question: The aim of this study was to evaluate the effects of a personalised exercise programme on falls prevention and gait parameters in LLAs. Methods: Fifteen LLAs, recruited from their local prosthetic services centre, were block randomised, by age and level of amputation, into two groups: exercise group (transfemoral, n = 5; transtibial, n = 2) and control group (transfemoral, n = 5; transtibial, n = 3). The exercise group completed a 12-week programme, focusing on strength, balance, flexibility and walking endurance, delivered in group sessions at the University, and combined with a personalised home exercise programme. Temporal-spatial, 3D kinematic and kinetic gait parameters were collected at baseline and post-intervention. Falls incidence was also followed up at 12 months. Results: The exercise group experienced significantly fewer falls in the one-year period from baseline, compared with the average annual falls rate, obtained at baseline (P = 0.020; d = 1.54). Gait speed in the exercise group increased by 0.21 m • s −1 , to 0.98 m • s −1 (P < 0.001; d = 0.91), through increased intact limb cadence. In the pre-swing phase, there were significant increases in intact limb peak vertical force, and affected limb peak propulsive (anterior) force for the exercise group. Power absorption and generation significantly increased at both the intact and affected hip joints (H3) and the intact ankle (A1 and A2) for the exercise group, resulting in significant group*time interactions. Significance: This is the first study to document the clinically meaningful benefits of an exercise intervention for falls prevention and gait performance in LLAs. Specialised exercise programmes for community-dwelling LLAs should be implemented as a method to reduce falls and improve walking performance in this population.
Citation
Schafer, Z. A., Perry, J. L., & Vanicek, N. (2018). A personalised exercise programme for individuals with lower limb amputation reduces falls and improves gait biomechanics: A block randomised controlled trial. Gait and Posture, 63, 282-289. https://doi.org/10.1016/j.gaitpost.2018.04.030
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 21, 2018 |
Online Publication Date | Apr 30, 2018 |
Publication Date | Jun 1, 2018 |
Deposit Date | Jun 25, 2018 |
Publicly Available Date | May 1, 2019 |
Journal | Gait & Posture |
Print ISSN | 0966-6362 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 63 |
Pages | 282-289 |
DOI | https://doi.org/10.1016/j.gaitpost.2018.04.030 |
Keywords | Falls, Lower limb amputee, Exercise, Gait, Biomechanics |
Public URL | https://hull-repository.worktribe.com/output/857721 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S0966636218304260?via%3Dihub |
Additional Information | This article is maintained by: Elsevier; Article Title: A personalised exercise programme for individuals with lower limb amputation reduces falls and improves gait biomechanics: A block randomised controlled trial; Journal Title: Gait & Posture; CrossRef DOI link to publisher maintained version: http://dx.doi.org/10.1016/j.gaitpost.2018.04.030; Content Type: article; Copyright: © 2018 Elsevier B.V. All rights reserved. |
Contract Date | Jun 26, 2018 |
Files
Article
(600 Kb)
PDF
Copyright Statement
© 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
You might also like
Special issue themes: Markerless motion analysis in sport and exercise
(2024)
Journal Article
Downloadable Citations
About Repository@Hull
Administrator e-mail: repository@hull.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search