Literature DB >> 23611857

Changes in metabolic cost of transport following locomotor training poststroke.

Darcy S Reisman1, Stuart Binder-MacLeod, William B Farquhar.   

Abstract

BACKGROUND: The energy cost of transport is higher for persons with stroke compared with neurologically intact subjects, and this has a negative impact on ambulatory activity and function. Whether the high energy cost of walking after stroke is influenced by gait training interventions is generally not considered.
OBJECTIVE: To examine changes in the energy cost of transport with a gait training intervention after stroke and to identify whether energy cost changes independent of changes in walking speed.
METHODS: Persons with chronic (≯6 months) stroke participated in an intervention combining fast walking and functional electrical stimulation of the ankle dorsi-and plantarflexor muscles. Oxygen consumption, walking speed, and endurance were measured pre and post training. Energy and caloric cost of transport were calculated at self-selected and absolute speeds at each time point.
RESULTS: Eleven subjects (age 61.8 ± 8 years) participated. Self-selected and fastest walking speed and 6-minute walk test distance improved after the intervention (F = 67.5, P < .001; F = 40.9, P < .001; F = 20.2, P = .001, respectively). Energy and caloric cost of transport at self-selected speed improved (F = 8.63, P = .015, and F = 7.87, P = .019, respectively) but did not change at an absolute speed pre-to postintervention.
CONCLUSIONS: Energy and caloric cost of transport at self-selected walking speeds improved pre to post training but were unaffected at an absolute walking speed, suggesting that the improved energy cost of transport was through improvements in the subject's self-selected walking speed. These results illustrate that improvements in walking speed following an intervention are an important mechanism by which the energy cost of transport can be reduced post stroke.

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Mesh:

Year:  2013        PMID: 23611857      PMCID: PMC4104066          DOI: 10.1310/tsr2002-161

Source DB:  PubMed          Journal:  Top Stroke Rehabil        ISSN: 1074-9357            Impact factor:   2.119


  26 in total

1.  Effects of age and physical activity status on the speed-aerobic demand relationship of walking.

Authors:  P E Martin; D E Rothstein; D D Larish
Journal:  J Appl Physiol (1985)       Date:  1992-07

2.  Gait differences between individuals with post-stroke hemiparesis and non-disabled controls at matched speeds.

Authors:  George Chen; Carolynn Patten; Dhara H Kothari; Felix E Zajac
Journal:  Gait Posture       Date:  2005-08       Impact factor: 2.840

3.  Age-related changes in speed of walking.

Authors:  J E Himann; D A Cunningham; P A Rechnitzer; D H Paterson
Journal:  Med Sci Sports Exerc       Date:  1988-04       Impact factor: 5.411

4.  Gait deviations associated with post-stroke hemiparesis: improvement during treadmill walking using weight support, speed, support stiffness, and handrail hold.

Authors:  George Chen; Carolynn Patten; Dhara H Kothari; Felix E Zajac
Journal:  Gait Posture       Date:  2005-08       Impact factor: 2.840

5.  Ratings of perceived exertion and heart rates during short-term cycle exercise and their use in a new cycling strength test.

Authors:  G Borg
Journal:  Int J Sports Med       Date:  1982-08       Impact factor: 3.118

6.  Speed and temporal-distance adaptations during treadmill and overground walking following stroke.

Authors:  Roain Bayat; Hugues Barbeau; Anouk Lamontagne
Journal:  Neurorehabil Neural Repair       Date:  2005-06       Impact factor: 3.919

7.  Reliability of gait performance tests in men and women with hemiparesis after stroke.

Authors:  Ulla-Britt Flansbjer; Anna Maria Holmbäck; David Downham; Carolynn Patten; Jan Lexell
Journal:  J Rehabil Med       Date:  2005-03       Impact factor: 2.912

8.  Sensitivity of clinical and behavioural tests of spatial neglect after right hemisphere stroke.

Authors:  P Azouvi; C Samuel; A Louis-Dreyfus; T Bernati; P Bartolomeo; J-M Beis; S Chokron; M Leclercq; F Marchal; Y Martin; G De Montety; S Olivier; D Perennou; P Pradat-Diehl; C Prairial; G Rode; E Siéroff; L Wiart; M Rousseaux
Journal:  J Neurol Neurosurg Psychiatry       Date:  2002-08       Impact factor: 10.154

Review 9.  Novel patterns of functional electrical stimulation have an immediate effect on dorsiflexor muscle function during gait for people poststroke.

Authors:  Trisha M Kesar; Ramu Perumal; Angela Jancosko; Darcy S Reisman; Katherine S Rudolph; Jill S Higginson; Stuart A Binder-Macleod
Journal:  Phys Ther       Date:  2009-11-19

10.  Classification of walking handicap in the stroke population.

Authors:  J Perry; M Garrett; J K Gronley; S J Mulroy
Journal:  Stroke       Date:  1995-06       Impact factor: 7.914

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  13 in total

1.  Alterations in Aerobic Exercise Performance and Gait Economy Following High-Intensity Dynamic Stepping Training in Persons With Subacute Stroke.

Authors:  Abigail L Leddy; Mark Connolly; Carey L Holleran; Patrick W Hennessy; Jane Woodward; Ross A Arena; Elliot J Roth; T George Hornby
Journal:  J Neurol Phys Ther       Date:  2016-10       Impact factor: 3.649

Review 2.  A systematic review of mechanisms of gait speed change post-stroke. Part 2: exercise capacity, muscle activation, kinetics, and kinematics.

Authors:  Elizabeth C Wonsetler; Mark G Bowden
Journal:  Top Stroke Rehabil       Date:  2017-02-20       Impact factor: 2.119

3.  Trading Symmetry for Energy Cost During Walking in Healthy Adults and Persons Poststroke.

Authors:  Ryan T Roemmich; Kristan A Leech; Anthony J Gonzalez; Amy J Bastian
Journal:  Neurorehabil Neural Repair       Date:  2019-06-18       Impact factor: 3.919

4.  Reducing The Cost of Transport and Increasing Walking Distance After Stroke: A Randomized Controlled Trial on Fast Locomotor Training Combined With Functional Electrical Stimulation.

Authors:  Louis N Awad; Darcy S Reisman; Ryan T Pohlig; Stuart A Binder-Macleod
Journal:  Neurorehabil Neural Repair       Date:  2015-11-30       Impact factor: 3.919

5.  Paretic Propulsion and Trailing Limb Angle Are Key Determinants of Long-Distance Walking Function After Stroke.

Authors:  Louis N Awad; Stuart A Binder-Macleod; Ryan T Pohlig; Darcy S Reisman
Journal:  Neurorehabil Neural Repair       Date:  2014-11-10       Impact factor: 3.919

6.  Walking speed and step length asymmetry modify the energy cost of walking after stroke.

Authors:  Louis N Awad; Jacqueline A Palmer; Ryan T Pohlig; Stuart A Binder-Macleod; Darcy S Reisman
Journal:  Neurorehabil Neural Repair       Date:  2014-10-05       Impact factor: 3.919

7.  Targeting paretic propulsion to improve poststroke walking function: a preliminary study.

Authors:  Louis N Awad; Darcy S Reisman; Trisha M Kesar; Stuart A Binder-Macleod
Journal:  Arch Phys Med Rehabil       Date:  2013-12-28       Impact factor: 3.966

8.  A neuromechanics-based powered ankle exoskeleton to assist walking post-stroke: a feasibility study.

Authors:  Kota Z Takahashi; Michael D Lewek; Gregory S Sawicki
Journal:  J Neuroeng Rehabil       Date:  2015-02-25       Impact factor: 4.262

9.  Predictors of energy cost during stair ascent and descent in individuals with chronic stroke.

Authors:  Janaine Cunha Polese; Aline Alvim Scianni; Luci Fuscaldi Teixeira-Salmela
Journal:  J Phys Ther Sci       Date:  2015-12-28

10.  Protocol for promoting recovery optimization of walking activity in stroke (PROWALKS): a randomized controlled trial.

Authors:  Henry Wright; Tamara Wright; Ryan T Pohlig; Scott E Kasner; Jonathan Raser-Schramm; Darcy Reisman
Journal:  BMC Neurol       Date:  2018-04-12       Impact factor: 2.474

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