Literature DB >> 31434543

Contributions of Stepping Intensity and Variability to Mobility in Individuals Poststroke.

T George Hornby1,2,3, Christopher E Henderson1,2, Abbey Plawecki2, Emily Lucas2, Jennifer Lotter2, Molly Holthus2, Gabrielle Brazg4, Meghan Fahey4, Jane Woodward4, Marzieh Ardestani1,2, Elliot J Roth3,4.   

Abstract

Background and Purpose- The amount of task-specific stepping practice provided during rehabilitation poststroke can influence locomotor recovery and reflects one aspect of exercise dose that can affect the efficacy of specific interventions. Emerging data suggest that markedly increasing the intensity and variability of stepping practice may also be critical, although such strategies are discouraged during traditional rehabilitation. The goal of this study was to determine the individual and combined contributions of intensity and variability of stepping practice to improving walking speed and distance in individuals poststroke. Methods- This phase 2, randomized, blinded assessor clinical trial was performed between May 2015 and November 2018. Individuals between 18 and 85 years old with hemiparesis poststroke of >6 months duration were recruited. Of the 152 individuals screened, 97 were randomly assigned to 1 of 3 training groups, with 90 completing >10 sessions. Interventions consisted of either high-intensity stepping (70%-80% heart rate reserve) of variable, difficult stepping tasks (high variable), high-intensity stepping performing only forward walking (high forward), and low-intensity stepping in variable contexts at 30% to 40% heart rate reserve (low variable). Participants received up to 30 sessions over 2 months, with testing at baseline, post-training, and a 3-month follow-up. Primary outcomes included walking speeds and timed distance, with secondary measures of dynamic balance, transfers, spatiotemporal kinematics, and metabolic measures. Results- All walking gains were significantly greater following either high-intensity group versus low-variable training (all P<0.001) with significant correlations with stepping amount and rate (r=0.48-60; P<0.01). Additional gains in spatiotemporal symmetry were observed with high-intensity training, and balance confidence increased only following high-variable training in individuals with severe impairments. Conclusions- High-intensity stepping training resulted in greater improvements in walking ability and gait symmetry than low-intensity training in individuals with chronic stroke, with potential greater improvements in balance confidence. Clinical Trial Registration- URL: https://www.clinicaltrials.gov. Unique identifier: NCT02507466.

Entities:  

Keywords:  clinical trial; exercise; locomotion; rehabilitation

Mesh:

Year:  2019        PMID: 31434543      PMCID: PMC7241260          DOI: 10.1161/STROKEAHA.119.026254

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  33 in total

1.  Little change of modifiable risk factors 1 year after stroke: a pilot study.

Authors:  Nete Hornnes; Klaus Larsen; Gudrun Boysen
Journal:  Int J Stroke       Date:  2010-06       Impact factor: 5.266

2.  Enhanced gait-related improvements after therapist- versus robotic-assisted locomotor training in subjects with chronic stroke: a randomized controlled study.

Authors:  T George Hornby; Donielle D Campbell; Jennifer H Kahn; Tobey Demott; Jennifer L Moore; Heidi R Roth
Journal:  Stroke       Date:  2008-05-08       Impact factor: 7.914

3.  Chronic stroke survivors benefit from high-intensity aerobic treadmill exercise: a randomized control trial.

Authors:  Christoph Globas; Clemens Becker; Joachim Cerny; Judith M Lam; Ulrich Lindemann; Larry W Forrester; Richard F Macko; Andreas R Luft
Journal:  Neurorehabil Neural Repair       Date:  2011-09-01       Impact factor: 3.919

4.  Compensation or Recovery? Altered Kinetics and Neuromuscular Synergies Following High-Intensity Stepping Training Poststroke.

Authors:  Marzieh M Ardestani; Catherine R Kinnaird; Christopher E Henderson; T George Hornby
Journal:  Neurorehabil Neural Repair       Date:  2018-12-29       Impact factor: 3.919

5.  Reduced ambulatory activity after stroke: the role of balance, gait, and cardiovascular fitness.

Authors:  Kathleen M Michael; Jerilyn K Allen; Richard F Macko
Journal:  Arch Phys Med Rehabil       Date:  2005-08       Impact factor: 3.966

Review 6.  Influence of skill and exercise training parameters on locomotor recovery during stroke rehabilitation.

Authors:  T George Hornby; Jennifer L Moore; Linda Lovell; Elliot J Roth
Journal:  Curr Opin Neurol       Date:  2016-12       Impact factor: 5.710

7.  Changes in stroke volume with beta-blockade before and after 10 days of exercise training in men and women.

Authors:  C M Mier; M A Domenick; J H Wilmore
Journal:  J Appl Physiol (1985)       Date:  1997-11

8.  Cardiopulmonary Responses During Clinical and Laboratory Gait Assessments in People With Chronic Stroke.

Authors:  Jane L Woodward; Mark Connolly; Patrick W Hennessy; Carey L Holleran; Gordhan B Mahtani; Gabrielle Brazg; Meghan Fahey; Kameswari Maganti; T George Hornby
Journal:  Phys Ther       Date:  2019-01-01

9.  A new approach to retrain gait in stroke patients through body weight support and treadmill stimulation.

Authors:  M Visintin; H Barbeau; N Korner-Bitensky; N E Mayo
Journal:  Stroke       Date:  1998-06       Impact factor: 7.914

10.  Feasibility and potential efficacy of high-intensity stepping training in variable contexts in subacute and chronic stroke.

Authors:  Carey L Holleran; Don D Straube; Catherine R Kinnaird; Abigail L Leddy; T George Hornby
Journal:  Neurorehabil Neural Repair       Date:  2014-02-10       Impact factor: 3.919

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  9 in total

1.  Step Monitor Accuracy During PostStroke Physical Therapy and Simulated Activities.

Authors:  Christopher E Henderson; Lindsay Toth; Andrew Kaplan; T George Hornby
Journal:  Transl J Am Coll Sports Med       Date:  2022

2.  Gains in Daily Stepping Activity in People With Chronic Stroke After High-Intensity Gait Training in Variable Contexts.

Authors:  T George Hornby; Abbey Plawecki; Jennifer K Lotter; Molly E Scofield; Emily Lucas; Christopher E Henderson
Journal:  Phys Ther       Date:  2022-08-04

Review 3.  Rethinking the tools in the toolbox.

Authors:  T George Hornby
Journal:  J Neuroeng Rehabil       Date:  2022-06-20       Impact factor: 5.208

4.  Walking faster and farther with a soft robotic exosuit: Implications for post-stroke gait assistance and rehabilitation.

Authors:  Louis N Awad; Pawel Kudzia; Dheepak Arumukhom Revi; Terry D Ellis; Conor J Walsh
Journal:  IEEE Open J Eng Med Biol       Date:  2020-04-02

5.  Functional magnetic resonance brain imaging of imagined walking to study locomotor function after stroke.

Authors:  Pierce Boyne; Sarah Doren; Victoria Scholl; Emily Staggs; Dustyn Whitesel; Thomas Maloney; Oluwole Awosika; Brett Kissela; Kari Dunning; Jennifer Vannest
Journal:  Clin Neurophysiol       Date:  2020-11-21       Impact factor: 3.708

6.  Verbal feedback enhances motor learning during post-stroke gait retraining.

Authors:  Nicole K Rendos; Laura Zajac-Cox; Rahul Thomas; Sumire Sato; Steven Eicholtz; Trisha M Kesar
Journal:  Top Stroke Rehabil       Date:  2020-09-18       Impact factor: 2.177

7.  Association Between Self-Perceived General Human-Likeness During Walking and Walking Speed in Stroke Patients: A Preliminary Study.

Authors:  Kazuki Hayashida; Ryota Nakazono; Nami Yamamichi; Masa Narita; Koichiro Onishi; Shu Morioka
Journal:  Rehabil Process Outcome       Date:  2022-07-30

8.  Effect of early integrated robot-assisted gait training on motor and balance in patients with acute ischemic stroke: a single-blinded randomized controlled trial.

Authors:  Guilin Meng; Xiaoye Ma; Pengfei Chen; Shaofang Xu; Mingliang Li; Yichen Zhao; Aiping Jin; Xueyuan Liu
Journal:  Ther Adv Neurol Disord       Date:  2022-09-15       Impact factor: 6.430

9.  Force-Control vs. Strength Training: The Effect on Gait Variability in Stroke Survivors.

Authors:  Prakruti Patel; Agostina Casamento-Moran; Evangelos A Christou; Neha Lodha
Journal:  Front Neurol       Date:  2021-07-15       Impact factor: 4.003

  9 in total

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