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The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool

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Published on: June 30, 2014

Information processing speed and disease severity predict real-world ambulation in persons with multiple sclerosis.

Michael VanNostrand¹, Myeongjin Bae¹, John C Ramsdell²

¹University of Vermont, Rehabilitation and Movement Science, Burlington, VT, USA.

|April 24, 2024

Summary

Cognition and fear of falling significantly impact multiple sclerosis (MS) patients' real-world gait speed and stride regularity. Understanding these factors is key to developing targeted interventions for improved walking in MS.

Keywords:

Cognition Fear of falling Gait speed Mobility Multiple sclerosis Real-world ambulation

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Published on: August 8, 2019

Area of Science:

Neurology
Rehabilitation Science
Biomedical Engineering

Background:

Multiple sclerosis (MS) causes multifaceted gait impairments affecting mobility, cognition, and fall risk.
These factors are often studied in isolation, limiting understanding of their combined impact on real-world walking.

Purpose of the Study:

To investigate how mobility, cognition, and fear of falling contribute to real-world gait quality and quantity in individuals with MS.

Main Methods:

Twenty individuals with MS completed cognitive tests (PASAT, SDMT, Stroop, SRT), the Falls Efficacy Scale - International (FES-I), and the Patient Determined Disease Steps (PDDS).
Participants wore an inertial sensor for three days to collect real-world gait data (speed, stride regularity, time walking, bouts).

Main Results:

Significant correlations were found between gait speed/stride regularity and SDMT, FES-I, and PDDS.
Cognition (SDMT) and walking impairment (PDDS) explained 63% of gait speed variance and 69% of stride regularity variance.
No significant correlations were found for gait quantity with cognition or fear of falling after adjusting for age and sex.

Conclusions:

Cognition, walking impairment, and fear of falling play crucial roles in real-world gait quality for individuals with MS.
These findings can guide the development of targeted interventions to enhance walking in MS.
Further research is needed to identify factors influencing gait quantity in this population.