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Home-based system for physical activity monitoring in patients with multiple sclerosis (Pilot study)
BACKGROUND: Limitations in physical activity are considered as a key problem in patients with multiple sclerosis (PwMS). Contemporary methods to assess the level of physical activity in PwMS are regular clinical observation. However, these methods either rely on high recall and accurate reporting fr...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3927216/ https://www.ncbi.nlm.nih.gov/pubmed/24502230 http://dx.doi.org/10.1186/1475-925X-13-10 |
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author | Shammas, Layal Zentek, Tom von Haaren, Birte Schlesinger, Stefan Hey, Stefan Rashid, Asarnusch |
author_facet | Shammas, Layal Zentek, Tom von Haaren, Birte Schlesinger, Stefan Hey, Stefan Rashid, Asarnusch |
author_sort | Shammas, Layal |
collection | PubMed |
description | BACKGROUND: Limitations in physical activity are considered as a key problem in patients with multiple sclerosis (PwMS). Contemporary methods to assess the level of physical activity in PwMS are regular clinical observation. However, these methods either rely on high recall and accurate reporting from the patients (e.g. self-report questionnaires), or they are conducted during a particular clinical assessment with predefined activities. Therefore, the main aim of this pilot study was to develop an objective method to gather information about the real type and intensity of daily activities performed by PwMS in every-day living situations using an accelerometer. Furthermore, the accelerometer-derived measures are investigated regarding their potential for discriminating between different MS groups. METHODS: Eleven PwMS that were able to walk independently (EDSS ≤ 5) were divided into two groups: mild disability (EDSS 1–2.5; n = 6) and moderate disability (EDSS 3 –5; n = 5). Participants made use of an activity monitor device attached to their waist during their normal daily activities over 4 measurements. Activity parameters were assessed and compared for the time of each participant’s first measurement and follow-up measurement. Furthermore, differences between both subgroups, and the correlation of activity parameters with the clinical neurological variable (EDSS) were investigated. RESULTS: Participants showed significant decline in step count (p = 0.008), maximum walking speed (p = 0.02) and physical activity intensity (p = 0.03) throughout the study period. Compared to the mild subgroup, moderate affected participant accumulated less number of steps (G1: 9214.33 ± 2439.11, G2: 5018.13 ± 2416.96; p < 0.005) and were slower (G1: 1.48 ± 0.19, G2: 1.12 ± 0.44; p = 0.03). Additionally, the EDSS correlated negatively with mean walking speed (r = - 0.71, p = 0.01) and steps count (r = - 0.54, p = 0.08). CONCLUSIONS: In this study, we used a portable activity monitoring sensor to gather information about everyday physical activity in PwMS at home. We showed that objective measurements using simple 3D accelerometers can track daily physical activity fluctuation. Furthermore, they track disability changes better than clinical measures. Thus, they can help to develop activity based treatments for PwMS. |
format | Online Article Text |
id | pubmed-3927216 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-39272162014-02-19 Home-based system for physical activity monitoring in patients with multiple sclerosis (Pilot study) Shammas, Layal Zentek, Tom von Haaren, Birte Schlesinger, Stefan Hey, Stefan Rashid, Asarnusch Biomed Eng Online Research BACKGROUND: Limitations in physical activity are considered as a key problem in patients with multiple sclerosis (PwMS). Contemporary methods to assess the level of physical activity in PwMS are regular clinical observation. However, these methods either rely on high recall and accurate reporting from the patients (e.g. self-report questionnaires), or they are conducted during a particular clinical assessment with predefined activities. Therefore, the main aim of this pilot study was to develop an objective method to gather information about the real type and intensity of daily activities performed by PwMS in every-day living situations using an accelerometer. Furthermore, the accelerometer-derived measures are investigated regarding their potential for discriminating between different MS groups. METHODS: Eleven PwMS that were able to walk independently (EDSS ≤ 5) were divided into two groups: mild disability (EDSS 1–2.5; n = 6) and moderate disability (EDSS 3 –5; n = 5). Participants made use of an activity monitor device attached to their waist during their normal daily activities over 4 measurements. Activity parameters were assessed and compared for the time of each participant’s first measurement and follow-up measurement. Furthermore, differences between both subgroups, and the correlation of activity parameters with the clinical neurological variable (EDSS) were investigated. RESULTS: Participants showed significant decline in step count (p = 0.008), maximum walking speed (p = 0.02) and physical activity intensity (p = 0.03) throughout the study period. Compared to the mild subgroup, moderate affected participant accumulated less number of steps (G1: 9214.33 ± 2439.11, G2: 5018.13 ± 2416.96; p < 0.005) and were slower (G1: 1.48 ± 0.19, G2: 1.12 ± 0.44; p = 0.03). Additionally, the EDSS correlated negatively with mean walking speed (r = - 0.71, p = 0.01) and steps count (r = - 0.54, p = 0.08). CONCLUSIONS: In this study, we used a portable activity monitoring sensor to gather information about everyday physical activity in PwMS at home. We showed that objective measurements using simple 3D accelerometers can track daily physical activity fluctuation. Furthermore, they track disability changes better than clinical measures. Thus, they can help to develop activity based treatments for PwMS. BioMed Central 2014-02-06 /pmc/articles/PMC3927216/ /pubmed/24502230 http://dx.doi.org/10.1186/1475-925X-13-10 Text en Copyright © 2014 Shammas et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. |
spellingShingle | Research Shammas, Layal Zentek, Tom von Haaren, Birte Schlesinger, Stefan Hey, Stefan Rashid, Asarnusch Home-based system for physical activity monitoring in patients with multiple sclerosis (Pilot study) |
title | Home-based system for physical activity monitoring in patients with multiple sclerosis (Pilot study) |
title_full | Home-based system for physical activity monitoring in patients with multiple sclerosis (Pilot study) |
title_fullStr | Home-based system for physical activity monitoring in patients with multiple sclerosis (Pilot study) |
title_full_unstemmed | Home-based system for physical activity monitoring in patients with multiple sclerosis (Pilot study) |
title_short | Home-based system for physical activity monitoring in patients with multiple sclerosis (Pilot study) |
title_sort | home-based system for physical activity monitoring in patients with multiple sclerosis (pilot study) |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3927216/ https://www.ncbi.nlm.nih.gov/pubmed/24502230 http://dx.doi.org/10.1186/1475-925X-13-10 |
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