Fragmentation, circadian amplitude, and fractal pattern of daily-living physical activity in people with multiple sclerosis: Is there relevant information beyond the total amount of physical activity?
Creators
- 1. Center for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
- 2. Neuroimmunology and Multiple Sclerosis Unit of the Neurology Division, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
- 3. Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
- 4. NeuroCure, Charité – Universitaetsmedizin Berlin, Berlin, Germany Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Medicine and Charité – Universitaetsmedizin Berlin, Berlin, Germany
- 5. Department of Physical Therapy, Rehabilitation Science, and Athletic Training, School of Health Professions, University of Kansas Medical Center, Kansas City, KS,
- 6. Mobility Consortium, Department of Physical Therapy, Rehabilitation Science, and Athletic Training, School of Health Professions, University of Kansas Medical Center, Kansas City, KS, United States Illinois Multiple Sclerosis Research Collaborative, Interdisciplinary Health Science Institute, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- 7. Owlytics Healthcare Ltd., Ramat-Gan, Israel
- 8. Center for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel Department of Physical Therapy, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel Rush Alzheimer's Disease Center and Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL, USA
Description
Abstract
Background
Physical activity is lower in people with multiple sclerosis (pwMS) compared to healthy controls. Previous work focused on studying activity levels or activity volume, but studies of daily-living rest-activity fragmentation patterns, circadian rhythms, and fractal regulation in pwMS are limited. Based on findings in other cohorts, one could suggest that these aspects of daily-living physical activity will provide additional information about the health and well-being of pwMS. Therefore, here, we aimed to (1) identify which fragmentation, fractal, and circadian amplitude measures differ between pwMS and healthy controls, (2) evaluate the relationship between fragmentation, fractal, and circadian amplitude measures and disease severity, and (3) begin to evaluate the added value of those measures, as compared to more conventional measures of physical activity (e.g., mean signal vector magnitude (SVM). A global measure of the overall volume of physical activity).
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Fragmentation, circadian amplitude jul 28 2022.pdf
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