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Article . 2017
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Wbv On The Upper Limb Performance In Complete Spinal Cord Injury

Authors: Uriel Sena Lopes Gomes da Silva; Hernán Ariel Villagra; Laura Luna Oliva; Nádia Fernanda Marconi;

Wbv On The Upper Limb Performance In Complete Spinal Cord Injury

Abstract

Background: individuals with spinal cord injury (SCI) need upper limbs during activities of daily living that include transferring and propelling a wheelchair. A single session of Whole-body Vibration (WBV) has shown positive impact on musculoskeletal performance. Objective: To investigate the effects of one single session of WBV over the upper limb function in complete SCI during the execution of functional tasks. Design: Individuals with SCI have performed three functional tasks: a timed push up test, grip strength and throw ball test before and after a session of WBV. Participants: 15 individuals with complete SCI were recruited for this study. Interventions: WBV was composed of one single session, five series of thirty seconds vibration with one-minute rest between. The push up test consisted of attempting a maximum number of repetitions during a fifteen second work period followed by a forty-five second rest period. Grip strength was assessed using a handheld dynamometer. Throw ball test consisted on launching a 2Kg medicine ball as afar as possible. Results: WBV statistically improved performance in all three functional tasks. Conclusions: one single session of WBV can improve upper limb performance in complete SCI.

Keywords

hand dynamometry, functional tasks, WBV, push up test, ball throw test, spinal cord injury

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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