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. 2020 Nov 25;3(1):100093.
doi: 10.1016/j.arrct.2020.100093. eCollection 2021 Mar.

Motor Impairment and Its Influence in Gait Velocity and Asymmetry in Community Ambulating Hemiplegic Individuals

Affiliations

Motor Impairment and Its Influence in Gait Velocity and Asymmetry in Community Ambulating Hemiplegic Individuals

Consuelo B Gonzalez-Suarez et al. Arch Rehabil Res Clin Transl. .

Abstract

Objectives: To determine the most important motor impairments that are predictors of gait velocity and spatiotemporal symmetrical ratio in patients with stroke.

Design: Cross-sectional, descriptive analysis study.

Setting: Human performance laboratory of the University of Santo Tomas.

Participants: Individuals with chronic stroke (N=55; 34 men, 21 women) who are community dwellers.

Interventions: Not applicable.

Main outcome measures: The gait velocity and spatiotemporal symmetrical ratio (step length; step, stance, swing, single-leg support, and double-leg support stance times) was determined using Vicon motion capture. We also calculated motor impairment of the leg and foot using Brunnstrom's stages of motor recovery, evaluated muscle strength using the scoring system described by Collin and Wade, and assessed spasticity using by the modified Ashworth Scale.

Results: Regression analysis showed that plantarflexor strength is a predictor of gait velocity and all temporospatial symmetry ratio. Knee flexor and extensor strength are predictors in single-leg support time and double-leg support time symmetry ratio, respectively. On the other hand, hip adductor and quadriceps spasticity are predictors of swing time and step length symmetry ratio.

Conclusion: Different motor impairments are predictors of stroke gait abnormality. Interventions should be focused on these motor impairments to allow for optimal gait rehabilitation results.

Keywords: BSSR, Brunnstrom stages of stroke recovery; DLST, double-leg support time; MAS, modified Ashworth Scale; Rehabilitation; SLST, single-leg support time; StT, stance time; Stroke; SwT, swing time; Walking speed.

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Figures

Fig 1
Fig 1
Standard marker positions for data acquisition using 3-dimensional motion capture.
Fig 2
Fig 2
CONSORT diagram.

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