Literature DB >> 25547769

Gait parameters predicted by Timed Up and Go performance in stroke patients.

Céline Bonnyaud1, Didier Pradon2, Raphael Zory2, Djamel Bensmail3, Nicolas Vuillerme4, Nicolas Roche2.   

Abstract

BACKGROUND: The Timed Up and Go (TUG) is a test of functional mobility which is routinely used in the assessment of hemiparetic patients. This easy and rapid to perform test includes motor tasks which occur frequently in daily life (stand up, walk, turn, sit down). Correlations between TUG performance and kinematic and kinetic gait parameters have never been studied.
OBJECTIVE: The aim of this study was to determine whether kinematic and kinetic gait parameters would be more related to TUG performance than spatio-temporal parameters in stroke patients.
METHODS: Sixty hemiparetic patients able to walk alone performed the TUG test and underwent 3D gait analysis and a clinical evaluation. A stepwise regression analysis was used to select the gait variables that best explained the variability in TUG performance.
RESULTS: The percentage of the gait cycle spent in single support phase on the paretic limb was the factor which was the most predictive and correlated with TUG performance, explaining 67% of the variance. No kinematic or kinetic gait parameters explained TUG performance. The results also suggested that TUG performance is mainly related to paretic lower limb motor function.
CONCLUSIONS: TUG performance in hemiparetic patients mainly depends on the motor ability of the paretic lower limb, particularly the single support phase on the paretic side. Kinematic and kinetic gait parameters do not predict the TUG performance in stroke patients.

Entities:  

Keywords:  Timed Up and Go test; gait analysis; gait parameters; hemiparesis; predictive factors

Mesh:

Year:  2015        PMID: 25547769     DOI: 10.3233/NRE-141194

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


  5 in total

1.  Assessing the risk for falls among Portuguese community-dwelling stroke survivors. Are we using the better tools? Observational study.

Authors:  Carla Pimenta; Anabela Correia; Marta Alves; Daniel Virella
Journal:  Porto Biomed J       Date:  2022-06-17

2.  Effects of lower extremity constraint-induced movement therapy on gait and balance of chronic hemiparetic patients after stroke: description of a study protocol for a randomized controlled clinical trial.

Authors:  Elaine Menezes-Oliveira; Gabriela da Silva Matuti; Clarissa Barros de Oliveira; Simone Ferreira de Freitas; Catia Miyuki Kawamura; José Augusto Fernandes Lopes; Ricardo Mario Arida
Journal:  Trials       Date:  2021-07-19       Impact factor: 2.279

3.  Spatiotemporal and Kinematic Parameters Relating to Oriented Gait and Turn Performance in Patients with Chronic Stroke.

Authors:  Céline Bonnyaud; Didier Pradon; Nicolas Vuillerme; Djamel Bensmail; Nicolas Roche
Journal:  PLoS One       Date:  2015-06-19       Impact factor: 3.240

4.  Clinometric Gait Analysis Using Smart Insoles in Patients With Hemiplegia After Stroke: Pilot Study.

Authors:  Minseok Seo; Myung-Jun Shin; Tae Sung Park; Jong-Hwan Park
Journal:  JMIR Mhealth Uhealth       Date:  2020-09-10       Impact factor: 4.773

5.  Therapeutic effects of brain-computer interface-controlled functional electrical stimulation training on balance and gait performance for stroke: A pilot randomized controlled trial.

Authors:  Eunjung Chung; Byoung-Hee Lee; Sujin Hwang
Journal:  Medicine (Baltimore)       Date:  2020-12-18       Impact factor: 1.817

  5 in total

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