Resistance training improves gait kinematics in persons with multiple sclerosis

Autor: John W. Chow, Vanessa Castellano, Lesley J. White, Sean C. McCoy, Gregory M. Gutierrez, Mark D. Tillman
Rok vydání: 2005
Předmět:
Zdroj: Archives of physical medicine and rehabilitation. 86(9)
ISSN: 0003-9993
Popis: To evaluate the effects of an 8-week lower-body resistance-training program on walking mechanics in persons with multiple sclerosis (MS).Repeated-measures design, evaluating gait kinematics before and after an 8-week progressive resistance-training intervention.Biomechanics laboratory and fitness center (with conventional, commercially available resistance-training equipment).Eight ambulatory subjects with MS (age, 46.0+/-11.5 y) with Expanded Disability Status Scale scores ranging from 2.5 to 5.5.An 8-week progressive resistance-training program.Kinematic gait parameters including knee range of motion, duration of stance, swing, and double-support phases in seconds and as percentages of the stride time, percentage of stride time spent in stance, swing, and double-support phases, step length, foot angle, stride length, velocity, step width, and toe clearance for both the more affected and less affected lower limbs. Isometric strength, 3-minute stepping, fatigue, and self-reported disability were also measured.After 2 months of resistance training, there were significant increases (P.05) in percentage of stride time in the swing phase, step length, stride length, and foot angle; and significant decreases (P.05) in percentage of stride time in the stance and double-support phases, duration of the double-support phase, and toe clearance. Isometric leg strength improved (P.05) in 2 of the 4 muscle groups tested. Fatigue indices decreased (P=.04), whereas self-reported disability tended to decrease (P=.07) following the training program. Three-minute stepping increased by 8.7%.Resistance training may be an effective intervention strategy for improving walking and functional ability in moderately disabled persons with MS.
Databáze: OpenAIRE