Gait velocity and walking distance to predict community walking after stroke
- PMID: 26310714
- DOI: 10.1111/nhs.12234
Gait velocity and walking distance to predict community walking after stroke
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.
Keywords: CVA; community walking; gait speed; predictive factors; rehabilitation; stroke; walking distance.
© 2015 Wiley Publishing Asia Pty Ltd.
Similar articles
-
Is gait speed or walking distance a better predictor for community walking after stroke?J Rehabil Med. 2013 Jun;45(6):535-40. doi: 10.2340/16501977-1147. J Rehabil Med. 2013. PMID: 23584080 Clinical Trial.
-
Classification of walking ability of household walkers versus community walkers based on K-BBS, gait velocity and upright motor control.Eur J Phys Rehabil Med. 2015 Oct;51(5):619-25. Epub 2014 Oct 14. Eur J Phys Rehabil Med. 2015. PMID: 25311883
-
Predicting Home and Community Walking Activity Poststroke.Stroke. 2017 Feb;48(2):406-411. doi: 10.1161/STROKEAHA.116.015309. Epub 2017 Jan 5. Stroke. 2017. PMID: 28057807 Clinical Trial.
-
Rehabilitation of gait speed after stroke: a critical review of intervention approaches.Neurorehabil Neural Repair. 2008 Nov-Dec;22(6):649-60. doi: 10.1177/1545968308315997. Neurorehabil Neural Repair. 2008. PMID: 18971380 Review.
-
Walking speed at the acute and subacute stroke stage: A descriptive meta-analysis.Front Neurol. 2022 Sep 26;13:989622. doi: 10.3389/fneur.2022.989622. eCollection 2022. Front Neurol. 2022. PMID: 36226075 Free PMC article. Review.
Cited by
-
Effects of sensory substituted functional training on balance, gait, and functional performance in neurological patient populations: A systematic review and meta-analysis.Heliyon. 2021 Sep 17;7(9):e08007. doi: 10.1016/j.heliyon.2021.e08007. eCollection 2021 Sep. Heliyon. 2021. PMID: 34604558 Free PMC article. Review.
-
Gait analysis with the Kinect v2: normative study with healthy individuals and comprehensive study of its sensitivity, validity, and reliability in individuals with stroke.J Neuroeng Rehabil. 2019 Jul 26;16(1):97. doi: 10.1186/s12984-019-0568-y. J Neuroeng Rehabil. 2019. PMID: 31349868 Free PMC article.
-
Prediction of Factors Affecting Mobility in Patients with Stroke and Finding the Mediation Effect of Balance on Mobility: A Cross-Sectional Study.Int J Environ Res Public Health. 2022 Dec 10;19(24):16612. doi: 10.3390/ijerph192416612. Int J Environ Res Public Health. 2022. PMID: 36554493 Free PMC article.
-
Robotic Exoskeleton Gait Training During Acute Stroke Inpatient Rehabilitation.Front Neurorobot. 2020 Oct 30;14:581815. doi: 10.3389/fnbot.2020.581815. eCollection 2020. Front Neurorobot. 2020. PMID: 33192438 Free PMC article.
-
Estimation of minimal detectable change in the 10-meter walking test for patients with stroke: a study stratified by gait speed.Front Neurol. 2023 Jul 19;14:1219505. doi: 10.3389/fneur.2023.1219505. eCollection 2023. Front Neurol. 2023. PMID: 37538254 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical