Literature DB >> 30676147

Does a Perturbation-Based Gait Intervention Enhance Gait Stability in Fall-Prone Stroke Survivors? A Pilot Study.

Michiel Punt1,2, Sjoerd M Bruijn2,3, Ingrid G van de Port4, Ilona J M de Rooij4, Harriet Wittink1, Jaap H van Dieën2.   

Abstract

A recent review indicated that perturbation-based training (PBT) interventions are effective in reducing falls in older adults and patients with Parkinson's disease. It is unknown whether this type of intervention is effective in stroke survivors. We determined whether PBT can enhance gait stability in stroke survivors. A total of 10 chronic stroke survivors who experienced falls in the past 6 months participated in the PBT. Participants performed 10 training sessions over a 6-week period. The gait training protocol was progressive, and each training contained unexpected gait perturbations and expected gait perturbations. Evaluation of gait stability was performed by determining steady-state gait characteristics and daily-life gait characteristics. We previously developed fall prediction models for both gait assessment methods. We evaluated whether predicted fall risk was reduced after PBT according to both models. Steady-state gait characteristics significantly improved, and consequently, predicted fall risk was reduced after the PBT. However, daily-life gait characteristics did not change, and thus, predicted fall risk based on daily-life gait remained unchanged after the PBT. A PBT resulted in more stable gait on a treadmill and thus lower predicted fall risk. However, the more stable gait on the treadmill did not transfer to a more stable gait in daily life.

Entities:  

Keywords:  balance; falls; gait characteristics; training

Year:  2019        PMID: 30676147     DOI: 10.1123/jab.2017-0282

Source DB:  PubMed          Journal:  J Appl Biomech        ISSN: 1065-8483            Impact factor:   1.833


  4 in total

1.  Posterior fall-recovery training applied to individuals with chronic stroke: A single-group intervention study.

Authors:  Jamie Pigman; Darcy S Reisman; Ryan T Pohlig; John J Jeka; Tamara R Wright; Benjamin C Conner; Drew A Petersen; Michael S Christensen; Jeremy R Crenshaw
Journal:  Clin Biomech (Bristol, Avon)       Date:  2020-12-23       Impact factor: 2.063

2.  Effect of Virtual Reality Gait Training on Participation in Survivors of Subacute Stroke: A Randomized Controlled Trial.

Authors:  Ilona J M de Rooij; Ingrid G L van de Port; Michiel Punt; Pim J M Abbink-van Moorsel; Michiel Kortsmit; Ruben P A van Eijk; Johanna M A Visser-Meily; Jan-Willem G Meijer
Journal:  Phys Ther       Date:  2021-05-04

3.  Intense and unpredictable perturbations during gait training improve dynamic balance abilities in chronic hemiparetic individuals: a randomized controlled pilot trial.

Authors:  Vahid Esmaeili; Andréanne Juneau; Joseph-Omer Dyer; Anouk Lamontagne; Dahlia Kairy; Laurent Bouyer; Cyril Duclos
Journal:  J Neuroeng Rehabil       Date:  2020-06-17       Impact factor: 4.262

4.  Effects of Targeted Assistance and Perturbations on the Relationship Between Pelvis Motion and Step Width in People With Chronic Stroke.

Authors:  Nicholas K Reimold; Holly A Knapp; Alyssa N Chesnutt; Alexa Agne; Jesse C Dean
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2021-02-26       Impact factor: 3.802

  4 in total

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