Literature DB >> 28057807

Predicting Home and Community Walking Activity Poststroke.

George D Fulk1, Ying He2, Pierce Boyne2, Kari Dunning2.   

Abstract

BACKGROUND AND
PURPOSE: Walking ability poststroke is commonly assessed using gait speed categories developed by Perry et al. The purpose of this study was to reexamine factors that predict home and community ambulators determined from real-world walking activity data using activity monitors.
METHODS: Secondary analyses of real-world walking activity from 2 stroke trials. Home (100-2499 steps/d), most limited community (2500-4499 steps/d), least limited community (5000-74 999), and full community (≥7500 steps/d) walking categories were developed based on normative data. Independent variables to predict walking categories were comfortable and fast gait speed, 6-minute walk test, Berg Balance Scale, Fugl Meyer, and Stroke Impact Scale. Data were analyzed using multivariate analyses to identify significant variables associated with walking categories, bootstrap method to select the most stable model and receiver-operating characteristic to identify cutoff values.
RESULTS: Data from 441 individuals poststroke were analyzed. The 6-minute walk test, Fugl Meyer, and Berg Balance Scale combined were the strongest predictors of home versus community and limited versus unlimited community ambulators. The 6-minute walk test was the strongest individual variable in predicting home versus community (receiver-operating characteristic area under curve=0.82) and limited versus full community ambulators (receiver-operating characteristic area under curve=0.76). A comfortable gait speed of 0.49 m/s discriminated between home and community and a comfortable gait speed of 0.93 m/s discriminated between limited community and full community ambulators.
CONCLUSIONS: The 6-minute walk test was better able to discriminate among home, limited community, and full community ambulators than comfortable gait speed. Gait speed values commonly used to distinguish between home and community walkers may overestimate walking activity.
© 2017 American Heart Association, Inc.

Entities:  

Keywords:  discriminant analysis; gait; goal; stroke; walking

Mesh:

Year:  2017        PMID: 28057807     DOI: 10.1161/STROKEAHA.116.015309

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  49 in total

1.  Relationship Between Dual-Task Gait Speed and Walking Activity Poststroke.

Authors:  Jody A Feld; Lisa A Zukowski; Annie G Howard; Carol A Giuliani; Lori J P Altmann; Bijan Najafi; Prudence Plummer
Journal:  Stroke       Date:  2018-04-05       Impact factor: 7.914

2.  Assessment of backward walking unmasks mobility impairments in post-stroke community ambulators.

Authors:  Kelly A Hawkins; Chitralakshmi K Balasubramanian; Arian Vistamehr; Christy Conroy; Dorian K Rose; David J Clark; Emily J Fox
Journal:  Top Stroke Rehabil       Date:  2019-05-12       Impact factor: 2.119

3.  Minimal Detectable Change for Gait Speed Depends on Baseline Speed in Individuals With Chronic Stroke.

Authors:  Michael D Lewek; Robert Sykes
Journal:  J Neurol Phys Ther       Date:  2019-04       Impact factor: 3.649

4.  Implementation of High-Intensity Stepping Training During Inpatient Stroke Rehabilitation Improves Functional Outcomes.

Authors:  Jennifer L Moore; Jan E Nordvik; Anne Erichsen; Ingvild Rosseland; Elisabeth Bø; T George Hornby
Journal:  Stroke       Date:  2019-12-30       Impact factor: 7.914

5.  Social and physical environmental factors in daily stepping activity in those with chronic stroke.

Authors:  Allison Miller; Ryan T Pohlig; Darcy S Reisman
Journal:  Top Stroke Rehabil       Date:  2020-08-10       Impact factor: 2.119

6.  Toward Improving the Prediction of Functional Ambulation After Spinal Cord Injury Through the Inclusion of Limb Accelerations During Sleep and Personal Factors.

Authors:  Stephanie K Rigot; Michael L Boninger; Dan Ding; Gina McKernan; Edelle C Field-Fote; Jeanne Hoffman; Rachel Hibbs; Lynn A Worobey
Journal:  Arch Phys Med Rehabil       Date:  2021-04-08       Impact factor: 3.966

7.  Walking faster and farther with a soft robotic exosuit: Implications for post-stroke gait assistance and rehabilitation.

Authors:  Louis N Awad; Pawel Kudzia; Dheepak Arumukhom Revi; Terry D Ellis; Conor J Walsh
Journal:  IEEE Open J Eng Med Biol       Date:  2020-04-02

8.  The six-minute walk test as a fall risk screening tool in community programs for persons with stroke: a cross-sectional analysis.

Authors:  Elizabeth Regan; Addie Middleton; Jill C Stewart; Sara Wilcox; Joseph Lee Pearson; Stacy Fritz
Journal:  Top Stroke Rehabil       Date:  2019-10-17       Impact factor: 2.119

9.  Forced and Voluntary Aerobic Cycling Interventions Improve Walking Capacity in Individuals With Chronic Stroke.

Authors:  Susan M Linder; Sara Davidson; Anson Rosenfeldt; John Lee; Mandy Miller Koop; Francois Bethoux; Jay L Alberts
Journal:  Arch Phys Med Rehabil       Date:  2020-09-09       Impact factor: 3.966

10.  Predictors of Daily Steps at 1-Year Poststroke: A Secondary Analysis of a Randomized Controlled Trial.

Authors:  Reed Handlery; Elizabeth W Regan; Jill C Stewart; Christine Pellegrini; Courtney Monroe; Garrett Hainline; Kaci Handlery; Stacy L Fritz
Journal:  Stroke       Date:  2021-03-11       Impact factor: 7.914

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