Does the six-minute walk test measure walking performance or physical fitness in persons with multiple sclerosis?

2015 ◽  
Vol 37 (1) ◽  
pp. 149-155 ◽  
Author(s):  
Brian M. Sandroff ◽  
Lara A. Pilutti ◽  
Robert W. Motl
2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Meir Plotnik ◽  
Joanne M. Wagner ◽  
Gautam Adusumilli ◽  
Amihai Gottlieb ◽  
Robert T. Naismith

Neurology ◽  
2012 ◽  
Vol 78 (Meeting Abstracts 1) ◽  
pp. P01.148-P01.148
Author(s):  
S. Khurana ◽  
L. Brooks ◽  
A. Beranger ◽  
A. Dominguez ◽  
J. Moore

2014 ◽  
Vol 7 (1) ◽  
pp. 269 ◽  
Author(s):  
Richard W Bohannon ◽  
Deborah Bubela ◽  
Susan Magasi ◽  
Heather McCreath ◽  
Ying-Chih Wang ◽  
...  

2018 ◽  
Vol 99 (3) ◽  
pp. 484-490 ◽  
Author(s):  
Morgan K. Boes ◽  
Rachel E. Bollaert ◽  
Richard M. Kesler ◽  
Yvonne C. Learmonth ◽  
Mazharul Islam ◽  
...  

2016 ◽  
Vol 134 (1) ◽  
pp. 56-62 ◽  
Author(s):  
Evandro Fornias Sperandio ◽  
Rodolfo Leite Arantes ◽  
Rodrigo Pereira da Silva ◽  
Agatha Caveda Matheus ◽  
Vinícius Tonon Lauria ◽  
...  

ABSTRACT: CONTEXT AND OBJECTIVES: Accelerometry provides objective measurement of physical activity levels, but is unfeasible in clinical practice. Thus, we aimed to identify physical fitness tests capable of predicting physical inactivity among adults. DESIGN AND SETTING: Diagnostic test study developed at a university laboratory and a diagnostic clinic. METHODS: 188 asymptomatic subjects underwent assessment of physical activity levels through accelerometry, ergospirometry on treadmill, body composition from bioelectrical impedance, isokinetic muscle function, postural balance on a force platform and six-minute walk test. We conducted descriptive analysis and multiple logistic regression including age, sex, oxygen uptake, body fat, center of pressure, quadriceps peak torque, distance covered in six-minute walk test and steps/day in the model, as predictors of physical inactivity. We also determined sensitivity (S), specificity (Sp) and area under the curve of the main predictors by means of receiver operating characteristic curves. RESULTS: The prevalence of physical inactivity was 14%. The mean number of steps/day (≤ 5357) was the best predictor of physical inactivity (S = 99%; Sp = 82%). The best physical fitness test was a distance in the six-minute walk test and ≤ 96% of predicted values (S = 70%; Sp = 80%). Body fat > 25% was also significant (S = 83%; Sp = 51%). After logistic regression, steps/day and distance in the six-minute walk test remained predictors of physical inactivity. CONCLUSION: The six-minute walk test should be included in epidemiological studies as a simple and cheap tool for screening for physical inactivity.


2020 ◽  
Author(s):  
Meir Plotnik ◽  
Joanne M. Wagner ◽  
Gautam Adusumilli ◽  
Amihai Gottlieb ◽  
Robert T. Naismith

AbstractGait impairments in persons with multiple sclerosis (pwMS) underlying reduced walking endurance are still poorly understood. Thus, our objective was to assessed gait asymmetry (GA) and bilateral coordination of gait (BCG), among pwMS during the six-minute walk test (6MWT) and their association with disease severity. For this aim, we recruited ninety-two pwMS (age: 46.6 ± 7.9; 83% females) with a broad range of clinical disability who completed the 6MWT wearing gait analysis system. GA was assessed by comparing left and right swing times, and BCG by using the phase coordination index (PCI). Several functional and subjective gait assessments were performed. Results show that gait is more asymmetric and less coordinated as the disease progresses (p<.0001). Participants with mild MS showed significant better BCG as reflected by lower PCI values in comparison to the other two MS severity groups (severe: p =.001, moderate: p=.02). GA and PCI also deteriorated significantly with time during the 6MWT (p<.0001). GA and PCI (i.e., BCG) show somewhat weaker associations with clinical MS status than associations observed between functional and subjective gait assessments and MS status. Similar to other neurological cohorts, GA and PCI are important parameters to assess and to target in interventions among pwMS.


2019 ◽  
Vol 73 ◽  
pp. 147-153 ◽  
Author(s):  
Katie L.J. Cederberg ◽  
E.Morghen Sikes ◽  
Alfred A. Bartolucci ◽  
Robert W. Motl

Sign in / Sign up

Export Citation Format

Share Document