Literature DB >> 27061163

Clinical factors associated with ankle muscle coactivation during gait in adults after stroke.

Ryosuke Kitatani1,2, Koji Ohata1, Yu Hashiguchi1,2, Kaoru Sakuma1,3, Natsuki Yamakami4, Shigehito Yamada1.   

Abstract

BACKGROUND: Increased ankle muscle coactivation during gait represents an adaptation strategy to compensate for postural instability in adults after stroke. Although increased ankle muscle coactivation is correlated with gait disorders in adults after stroke, it remains unclear which physical impairments are the most predictive clinical factors explaining ankle muscle coactivation during gait.
OBJECTIVE: To investigate these physical impairments in adults after stroke using stepwise multiple regression analyses.
METHODS: The magnitude of ankle muscle coactivation during gait was quantified with a coactivation index (CoI) for the first and second double support (DS2), and single support (SS) phases in 44 community-dwelling adults after stroke. Paretic motor function, sensory function, spasticity, ankle muscle strength, and balance ability were evaluated.
RESULTS: The regression analysis revealed that the balance ability and paretic ankle plantarflexor muscle strength were significant factors determining the CoI during the SS phase on the paretic side. For the CoI during the DS2 phase on the paretic side, only the balance ability was selected as a significant factor.
CONCLUSION: Adults with impaired balance ability and paretic ankle muscle weakness after stroke used a compensation strategy of increased ankle muscle coactivation on the paretic side to enhance postural stability during gait.

Entities:  

Keywords:  Co-contraction; electromyography; gait; hemiplegia; stroke

Mesh:

Year:  2016        PMID: 27061163     DOI: 10.3233/NRE-161326

Source DB:  PubMed          Journal:  NeuroRehabilitation        ISSN: 1053-8135            Impact factor:   2.138


  5 in total

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2.  A structural equation model of falls at home in individuals with chronic stroke, based on the international classification of function, disability, and health.

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3.  Lower extremity long-latency reflexes differentiate walking function after stroke.

Authors:  Caitlin L Banks; Virginia L Little; Eric R Walker; Carolynn Patten
Journal:  Exp Brain Res       Date:  2019-08-01       Impact factor: 2.064

4.  Walking characteristics including mild motor paralysis and slow walking speed in post-stroke patients.

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5.  Reinforced Feedback in Virtual Environment for Plantar Flexor Poststroke Spasticity Reduction and Gait Function Improvement.

Authors:  Carlos Luque-Moreno; Fátima Cano-Bravo; Pawel Kiper; Ignacio Solís-Marcos; Jose A Moral-Munoz; Michela Agostini; Ángel Oliva-Pascual-Vaca; Andrea Turolla
Journal:  Biomed Res Int       Date:  2019-12-25       Impact factor: 3.411

  5 in total

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