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Updated: Jan 20, 2026

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The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool
Published on: June 30, 2014
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Three distinct physical behavior types in fatigued patients with multiple sclerosis.
H E M Braakhuis1,2, M A M Berger3, G A van der Stok4
1Department of Rehabilitation Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands. h.braakhuis@erasmusmc.nl.
Journal of Neuroengineering and Rehabilitation
|August 25, 2019
Summary
Physical behavior (PB) subtypes in multiple sclerosis (MS) patients with severe fatigue were identified. These distinct subtypes can inform personalized rehabilitation strategies for MS fatigue management.
Area of Science:
- Neurology
- Rehabilitation Science
- Behavioral Science
Background:
- Multiple sclerosis (MS) frequently causes fatigue, impacting physical behavior (PB).
- Current interventions targeting MS fatigue by improving PB are insufficient.
- Understanding PB variability in fatigued MS patients is crucial for personalized rehabilitation.
Purpose of the Study:
- To identify distinct physical behavior (PB) subtypes in patients with multiple sclerosis (MS) experiencing severe fatigue.
- To utilize multidimensional PB outcome measures for subtype identification.
- To lay the groundwork for developing tailored rehabilitation programs for MS-related fatigue.
Main Methods:
- Secondary analysis of accelerometer (Actigraph) data from 212 ambulatory MS patients with severe fatigue (CIS20r score ≥35).
- Utilized 15 PB measures derived from 7-day accelerometer recordings.
- Employed principal component analysis and two-step cluster analysis to define PB measures and identify subtypes.
Main Results:
- Five key PB outcome measures were identified: sedentary behavior percentage, moderate-to-vigorous physical activity duration, sedentary bout frequency, and diurnal activity change scores.
- Three distinct and homogeneous physical behavior (PB) clusters were derived from these measures.
- These clusters represent unique patterns of physical activity in fatigued MS patients.
Conclusions:
- Patients with severe MS-related fatigue exhibit three identifiable and homogeneous PB subtypes.
- These subtypes, defined by specific PB measures, offer a novel approach for personalized rehabilitation.
- This classification can lead to more effective, individually-tailored interventions for MS fatigue.
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