Three distinct physical behavior types in fatigued patients with multiple sclerosis

Abstract Background Multiple sclerosis often leads to fatigue and changes in physical behavior (PB). Changes in PB are often assumed as a consequence of fatigue, but effects of interventions that aim to reduce fatigue by improving PB are not sufficient. Since the heterogeneous nature of MS related s...

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Main Authors: H. E. M. Braakhuis, M. A. M. Berger, G. A. van der Stok, J. van Meeteren, V. de Groot, H. Beckerman, J. B. J. Bussmann, on behalf of the TREFAMS-ACE study group
Format: Article
Language:English
Published: BMC 2019-08-01
Series:Journal of NeuroEngineering and Rehabilitation
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12984-019-0573-1
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spelling doaj-4968895f6ffa492f9041add6666d6e3d2020-11-25T03:40:18ZengBMCJournal of NeuroEngineering and Rehabilitation1743-00032019-08-011611910.1186/s12984-019-0573-1Three distinct physical behavior types in fatigued patients with multiple sclerosisH. E. M. Braakhuis0M. A. M. Berger1G. A. van der Stok2J. van Meeteren3V. de Groot4H. Beckerman5J. B. J. Bussmann6on behalf of the TREFAMS-ACE study groupDepartment of Rehabilitation Medicine, Erasmus MC University Medical CenterFaculty of Health Nutrition and Sport, The Hague University of Applied SciencesDepartment of Rehabilitation Medicine, Erasmus MC University Medical CenterDepartment of Rehabilitation Medicine, Erasmus MC University Medical CenterDepartment of Rehabilitation Medicine, Amsterdam University Medical CentersDepartment of Rehabilitation Medicine, Amsterdam University Medical CentersDepartment of Rehabilitation Medicine, Erasmus MC University Medical CenterAbstract Background Multiple sclerosis often leads to fatigue and changes in physical behavior (PB). Changes in PB are often assumed as a consequence of fatigue, but effects of interventions that aim to reduce fatigue by improving PB are not sufficient. Since the heterogeneous nature of MS related symptoms, levels of PB of fatigued patients at the start of interventions might vary substantially. Better understanding of the variability by identification of PB subtypes in fatigued patients may help to develop more effective personalized rehabilitation programs in the future. This study aimed to identify PB subtypes in fatigued patients with multiple sclerosis based on multidimensional PB outcome measures. Methods Baseline accelerometer (Actigraph) data, demographics and clinical characteristics of the TREFAMS-ACE participants (n = 212) were used for secondary analysis. All patients were ambulatory and diagnosed with severe fatigue based on a score of ≥35 on the fatigue subscale of the Checklist Individual Strength (CIS20r). Fifteen PB measures were used derived from 7 day measurements with an accelerometer. Principal component analysis was performed to define key outcome measures for PB and two-step cluster analysis was used to identify PB types. Results Analysis revealed five key outcome measures: percentage sedentary behavior, total time in prolonged moderate-to-vigorous physical activity, number of sedentary bouts, and two types of change scores between day parts (morning, afternoon and evening). Based on these outcomes three valid PB clusters were derived. Conclusions Patients with severe MS-related fatigue show three distinct and homogeneous PB subtypes. These PB subtypes, based on a unique set of PB outcome measures, may offer an opportunity to design more individually-tailored interventions in rehabilitation. Trial registration Clinical trial registration no ISRCTN 82353628, ISRCTN 69520623 and ISRCTN 58583714.http://link.springer.com/article/10.1186/s12984-019-0573-1Physical behaviorMultiple sclerosisPrincipal component analysisCluster analysis
collection DOAJ
language English
format Article
sources DOAJ
author H. E. M. Braakhuis
M. A. M. Berger
G. A. van der Stok
J. van Meeteren
V. de Groot
H. Beckerman
J. B. J. Bussmann
on behalf of the TREFAMS-ACE study group
spellingShingle H. E. M. Braakhuis
M. A. M. Berger
G. A. van der Stok
J. van Meeteren
V. de Groot
H. Beckerman
J. B. J. Bussmann
on behalf of the TREFAMS-ACE study group
Three distinct physical behavior types in fatigued patients with multiple sclerosis
Journal of NeuroEngineering and Rehabilitation
Physical behavior
Multiple sclerosis
Principal component analysis
Cluster analysis
author_facet H. E. M. Braakhuis
M. A. M. Berger
G. A. van der Stok
J. van Meeteren
V. de Groot
H. Beckerman
J. B. J. Bussmann
on behalf of the TREFAMS-ACE study group
author_sort H. E. M. Braakhuis
title Three distinct physical behavior types in fatigued patients with multiple sclerosis
title_short Three distinct physical behavior types in fatigued patients with multiple sclerosis
title_full Three distinct physical behavior types in fatigued patients with multiple sclerosis
title_fullStr Three distinct physical behavior types in fatigued patients with multiple sclerosis
title_full_unstemmed Three distinct physical behavior types in fatigued patients with multiple sclerosis
title_sort three distinct physical behavior types in fatigued patients with multiple sclerosis
publisher BMC
series Journal of NeuroEngineering and Rehabilitation
issn 1743-0003
publishDate 2019-08-01
description Abstract Background Multiple sclerosis often leads to fatigue and changes in physical behavior (PB). Changes in PB are often assumed as a consequence of fatigue, but effects of interventions that aim to reduce fatigue by improving PB are not sufficient. Since the heterogeneous nature of MS related symptoms, levels of PB of fatigued patients at the start of interventions might vary substantially. Better understanding of the variability by identification of PB subtypes in fatigued patients may help to develop more effective personalized rehabilitation programs in the future. This study aimed to identify PB subtypes in fatigued patients with multiple sclerosis based on multidimensional PB outcome measures. Methods Baseline accelerometer (Actigraph) data, demographics and clinical characteristics of the TREFAMS-ACE participants (n = 212) were used for secondary analysis. All patients were ambulatory and diagnosed with severe fatigue based on a score of ≥35 on the fatigue subscale of the Checklist Individual Strength (CIS20r). Fifteen PB measures were used derived from 7 day measurements with an accelerometer. Principal component analysis was performed to define key outcome measures for PB and two-step cluster analysis was used to identify PB types. Results Analysis revealed five key outcome measures: percentage sedentary behavior, total time in prolonged moderate-to-vigorous physical activity, number of sedentary bouts, and two types of change scores between day parts (morning, afternoon and evening). Based on these outcomes three valid PB clusters were derived. Conclusions Patients with severe MS-related fatigue show three distinct and homogeneous PB subtypes. These PB subtypes, based on a unique set of PB outcome measures, may offer an opportunity to design more individually-tailored interventions in rehabilitation. Trial registration Clinical trial registration no ISRCTN 82353628, ISRCTN 69520623 and ISRCTN 58583714.
topic Physical behavior
Multiple sclerosis
Principal component analysis
Cluster analysis
url http://link.springer.com/article/10.1186/s12984-019-0573-1
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