Literature DB >> 18569856

Clinometric properties of the six-minute walk test in individuals undergoing rehabilitation poststroke.

George D Fulk1, John L Echternach, Leah Nof, Susan O'Sullivan.   

Abstract

The 6-minute walk test (6MWT) is commonly used to measure walking ability. The purpose of this study was to determine the test-retest reliability and concurrent and construct validity of the 6MWT in patients who were actively undergoing inpatient rehabilitation poststroke. Thirty-seven patients undergoing inpatient rehabilitation after a stroke participated; mean age was 66.3 years and mean time since stroke was 33.7 days. Patients underwent two 6MWT trials with 1-3 days between trials. Additional outcome measures taken were gait speed and the Functional Independence Measure (FIM). The 6MWT exhibited high test-retest reliability; ICC(2,1) 0.973 (95% CI=0.925-0.988) and a minimal detectable change (MDC(90)) of 54.1 m. The 6MWT was strongly to moderately correlated with gait speed (r=0.89), locomotion (walk) FIM (r=0.69), and motor FIM (r=0.52). The 6MWT is a clinically useful measure of walking ability poststroke. It is reliable and is related to other measures of walking ability and function that are commonly used during rehabilitation after stroke.

Entities:  

Mesh:

Year:  2008        PMID: 18569856     DOI: 10.1080/09593980701588284

Source DB:  PubMed          Journal:  Physiother Theory Pract        ISSN: 0959-3985            Impact factor:   2.279


  56 in total

1.  Cardiovascular fitness training for a patient in the early stages of recovery post stroke.

Authors:  Marilyn Mackay-Lyons; Marianne Thornton; Alison Macdonald
Journal:  Physiother Can       Date:  2011-08-10       Impact factor: 1.037

2.  Factors associated with exercise behavior in people with Parkinson disease.

Authors:  Terry Ellis; James T Cavanaugh; Gammon M Earhart; Matthew P Ford; K Bo Foreman; Lisa Fredman; Jennifer K Boudreau; Leland E Dibble
Journal:  Phys Ther       Date:  2011-10-14

3.  Validity and Reliability of the Swedish Version of the Activities-specific Balance Confidence Scale in People with Chronic Stroke.

Authors:  Anette Forsberg; Ylva Nilsagård
Journal:  Physiother Can       Date:  2013       Impact factor: 1.037

4.  Which measures of physical function and motor impairment best predict quality of life in Parkinson's disease?

Authors:  T Ellis; J T Cavanaugh; G M Earhart; M P Ford; K B Foreman; L E Dibble
Journal:  Parkinsonism Relat Disord       Date:  2011-08-05       Impact factor: 4.891

5.  High-Intensity Interval Training and Moderate-Intensity Continuous Training in Ambulatory Chronic Stroke: Feasibility Study.

Authors:  Pierce Boyne; Kari Dunning; Daniel Carl; Myron Gerson; Jane Khoury; Bradley Rockwell; Gabriela Keeton; Jennifer Westover; Alesha Williams; Michael McCarthy; Brett Kissela
Journal:  Phys Ther       Date:  2016-04-21

6.  Body-weight-supported treadmill rehabilitation after stroke.

Authors:  Pamela W Duncan; Katherine J Sullivan; Andrea L Behrman; Stanley P Azen; Samuel S Wu; Stephen E Nadeau; Bruce H Dobkin; Dorian K Rose; Julie K Tilson; Steven Cen; Sarah K Hayden
Journal:  N Engl J Med       Date:  2011-05-26       Impact factor: 91.245

7.  POWER training in chronic stroke individuals: differences between responders and nonresponders.

Authors:  Stacey E Aaron; Jennifer L Hunnicutt; Aaron E Embry; Mark G Bowden; Chris M Gregory
Journal:  Top Stroke Rehabil       Date:  2017-05-08       Impact factor: 2.119

8.  Relative and absolute reliability of physical function measures in people with end-stage renal disease.

Authors:  Tom Overend; Cathy Anderson; Anuradha Sawant; Barbara Perryman; Heather Locking-Cusolito
Journal:  Physiother Can       Date:  2010-04-23       Impact factor: 1.037

9.  The short physical performance battery as a predictor of functional capacity after stroke.

Authors:  Alyssa D Stookey; Leslie I Katzel; Gregory Steinbrenner; Marianne Shaughnessy; Frederick M Ivey
Journal:  J Stroke Cerebrovasc Dis       Date:  2012-12-14       Impact factor: 2.136

10.  Assist-as-Needed Robot-Aided Gait Training Improves Walking Function in Individuals Following Stroke.

Authors:  Shraddha Srivastava; Pei-Chun Kao; Seok Hun Kim; Paul Stegall; Damiano Zanotto; Jill S Higginson; Sunil K Agrawal; John P Scholz
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2014-10-13       Impact factor: 3.802

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.