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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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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