Literature DB >> 26310714

Gait velocity and walking distance to predict community walking after stroke.

SeungHeon An1, YunBok Lee2, HyeonHui Shin3, GyuChang Lee4.   

Abstract

Gait speed and walking distance were evaluated as predictors for levels of community walking after stroke. In this study, 103 stroke survivors were identified as limited (n = 67) or independent community walkers (n = 36). Ten meter and six min walk tests were used to measure gait speed and walking distance, respectively. The discriminative properties of gait speed and walking distance for community walking were investigated using receiver operating characteristic curves. Cut-off values of 0.87 m/s for community walking gait speed for walking distance had positive predictive values of 65% and 55%, respectively. The negative predictive value ranged from 89% for gait speed to 79% for walking distance. Gait speed and walking distance showed significant differences between limited and independent community walking. Gait speed was more significantly related to community walking than walking distance. The results of this study suggest that gait speed is a better predictor for community walking than walking distance in moderately affected post-stroke survivors.
© 2015 Wiley Publishing Asia Pty Ltd.

Entities:  

Keywords:  CVA; community walking; gait speed; predictive factors; rehabilitation; stroke; walking distance

Mesh:

Year:  2015        PMID: 26310714     DOI: 10.1111/nhs.12234

Source DB:  PubMed          Journal:  Nurs Health Sci        ISSN: 1441-0745            Impact factor:   1.857


  7 in total

1.  Effect of robotic exoskeleton gait training during acute stroke on functional ambulation.

Authors:  Kiran K Karunakaran; Sharon Gute; Gregory R Ames; Kathleen Chervin; Christina M Dandola; Karen J Nolan
Journal:  NeuroRehabilitation       Date:  2021       Impact factor: 2.138

2.  Gait analysis with the Kinect v2: normative study with healthy individuals and comprehensive study of its sensitivity, validity, and reliability in individuals with stroke.

Authors:  Jorge Latorre; Carolina Colomer; Mariano Alcañiz; Roberto Llorens
Journal:  J Neuroeng Rehabil       Date:  2019-07-26       Impact factor: 4.262

3.  Effect of Decreased Skeletal Muscle Index and Hand Grip Strength on Functional Recovery in Subacute Ambulatory Stroke Patients.

Authors:  Jin Gee Park; Kyeong Woo Lee; Sang Beom Kim; Jong Hwa Lee; Young Hwan Kim
Journal:  Ann Rehabil Med       Date:  2019-10-31

Review 4.  Effects of sensory substituted functional training on balance, gait, and functional performance in neurological patient populations: A systematic review and meta-analysis.

Authors:  Peter Lynch; Kenneth Monaghan
Journal:  Heliyon       Date:  2021-09-17

5.  Reliability of IMU-Based Gait Assessment in Clinical Stroke Rehabilitation.

Authors:  Richard A W Felius; Marieke Geerars; Sjoerd M Bruijn; Jaap H van Dieën; Natasja C Wouda; Michiel Punt
Journal:  Sensors (Basel)       Date:  2022-01-25       Impact factor: 3.576

6.  Walking velocity and modified rivermead mobility index as discriminatory measures for functional ambulation classification of chronic stroke patients.

Authors:  Ji Young Lim; Seung Heon An; Dae-Sung Park
Journal:  Hong Kong Physiother J       Date:  2019-05-21

7.  Robotic Exoskeleton Gait Training During Acute Stroke Inpatient Rehabilitation.

Authors:  Karen J Nolan; Kiran K Karunakaran; Kathleen Chervin; Michael R Monfett; Radhika K Bapineedu; Neil N Jasey; Mooyeon Oh-Park
Journal:  Front Neurorobot       Date:  2020-10-30       Impact factor: 2.650

  7 in total

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