Literature DB >> 32179457

Reliability of gait and dual-task measures in multiple sclerosis.

Alice Chen1, Megan C Kirkland1, Katie P Wadden1, Elizabeth M Wallack1, Michelle Ploughman2.   

Abstract

BACKGROUND: Single-task (ST) and dual-task (DT) assessments are commonly used to evaluate motor and cognitive impairment in people with multiple sclerosis (MS). Although variability can influence repeated DT testing measures, the reliability of several DT variables over time has not been adequately explored. For instance, a third testing session has never been included to observe whether DT has a learning effect. DT cognition rate reliability has not yet been examined and dual-task cost (DTC), a widely used calculation for DT interpretation, has not been proven reliable. RESEARCH QUESTION: To evaluate the reliability of ST and DT measures of gait and cognition over three test sessions.
METHODS: This was a cross-sectional study involving 18 people with MS and 12 controls. Participants attended three test sessions, each one week apart. ST and DT (serial seven subtraction) gait variables, DTC, coefficient of variability (CV), and cognition rate were extracted and calculated using an instrumented walkway. Reliability was assessed using intraclass correlation coefficients (ICC) or Kendall's coefficient of concordance (KCC; nonparametric test) and minimum detectable change (MDC); between-session learning effect was assessed using repeated measures ANOVA.
RESULTS: ICC/KCC values for ST and DT gait variables ranged from moderate to excellent (0.50-0.99). However, reliability for DT stride width and cognition rate was lower in controls. In general, DTC and CV variables had poor ICCs and high MDC values (49.19-1478.67 %), although some DTC variables had moderate or higher reliability in controls. Cognition rate was reliable in both MS (ICC 0.91) and controls (ICC 0.84). A learning effect between sessions was observed for DT velocity in both groups and for DTC cadence in people with MS. SIGNIFICANCE: ST and DT gait measures as well as DT cognition rate are reliable outcomes for repeated testing, while DTC and CV variables may not be suitable for long-term monitoring.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cognition; Dual-task; Gait; Multiple sclerosis; Reliability

Mesh:

Year:  2020        PMID: 32179457     DOI: 10.1016/j.gaitpost.2020.03.004

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  4 in total

1.  Machine learning classification of multiple sclerosis patients based on raw data from an instrumented walkway.

Authors:  Wenting Hu; Owen Combden; Xianta Jiang; Syamala Buragadda; Caitlin J Newell; Maria C Williams; Amber L Critch; Michelle Ploughman
Journal:  Biomed Eng Online       Date:  2022-03-30       Impact factor: 2.819

2.  Backward Walking and Dual-Task Assessment Improve Identification of Gait Impairments and Fall Risk in Individuals with MS.

Authors:  Erin M Edwards; Deborah A Kegelmeyer; Anne D Kloos; Manon Nitta; Danya Raza; Deborah S Nichols-Larsen; Nora E Fritz
Journal:  Mult Scler Int       Date:  2020-09-08

3.  Machine learning corroborates subjective ratings of walking and balance difficulty in multiple sclerosis.

Authors:  Wenting Hu; Owen Combden; Xianta Jiang; Syamala Buragadda; Caitlin J Newell; Maria C Williams; Amber L Critch; Michelle Ploughman
Journal:  Front Artif Intell       Date:  2022-09-29

4.  Foot-Worn Inertial Sensors Are Reliable to Assess Spatiotemporal Gait Parameters in Axial Spondyloarthritis under Single and Dual Task Walking in Axial Spondyloarthritis.

Authors:  Julie Soulard; Jacques Vaillant; Romain Balaguier; Athan Baillet; Philippe Gaudin; Nicolas Vuillerme
Journal:  Sensors (Basel)       Date:  2020-11-12       Impact factor: 3.576

  4 in total

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