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Determinants of Different Aspects of Upper-Limb Activity after Stroke
We examined factors associated with different aspects of upper-limb (UL) activity in chronic stroke to better understand and improve UL activity in daily life. Three different aspects of UL activity were represented by four sensor measures: (1) contribution to activity according to activity ratio an...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8951346/ https://www.ncbi.nlm.nih.gov/pubmed/35336443 http://dx.doi.org/10.3390/s22062273 |
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author | Essers, Bea Biering Lundquist, Camilla Verheyden, Geert Brunner, Iris Charlotte |
author_facet | Essers, Bea Biering Lundquist, Camilla Verheyden, Geert Brunner, Iris Charlotte |
author_sort | Essers, Bea |
collection | PubMed |
description | We examined factors associated with different aspects of upper-limb (UL) activity in chronic stroke to better understand and improve UL activity in daily life. Three different aspects of UL activity were represented by four sensor measures: (1) contribution to activity according to activity ratio and magnitude ratio, (2) intensity of activity according to bilateral magnitude, and (3) variability of activity according to variation ratio. We combined data from a Belgian and Danish patient cohort (n = 126) and developed four models to determine associated factors for each sensor measure. Results from standard multiple regression show that motor impairment (Fugl–Meyer assessment) accounted for the largest part of the explained variance in all sensor measures (18–61%), with less motor impairment resulting in higher UL activity values (p < 0.001). Higher activity ratio, magnitude ratio, and variation ratio were further explained by having the dominant hand affected (p < 0.007). Bilateral magnitude had the lowest explained variance (adjusted R(2) = 0.376), and higher values were further associated with being young and female. As motor impairment and biological aspects accounted for only one- to two-thirds of the variance in UL activity, rehabilitation including behavioral strategies might be important to increase the different aspects of UL activity. |
format | Online Article Text |
id | pubmed-8951346 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89513462022-03-26 Determinants of Different Aspects of Upper-Limb Activity after Stroke Essers, Bea Biering Lundquist, Camilla Verheyden, Geert Brunner, Iris Charlotte Sensors (Basel) Article We examined factors associated with different aspects of upper-limb (UL) activity in chronic stroke to better understand and improve UL activity in daily life. Three different aspects of UL activity were represented by four sensor measures: (1) contribution to activity according to activity ratio and magnitude ratio, (2) intensity of activity according to bilateral magnitude, and (3) variability of activity according to variation ratio. We combined data from a Belgian and Danish patient cohort (n = 126) and developed four models to determine associated factors for each sensor measure. Results from standard multiple regression show that motor impairment (Fugl–Meyer assessment) accounted for the largest part of the explained variance in all sensor measures (18–61%), with less motor impairment resulting in higher UL activity values (p < 0.001). Higher activity ratio, magnitude ratio, and variation ratio were further explained by having the dominant hand affected (p < 0.007). Bilateral magnitude had the lowest explained variance (adjusted R(2) = 0.376), and higher values were further associated with being young and female. As motor impairment and biological aspects accounted for only one- to two-thirds of the variance in UL activity, rehabilitation including behavioral strategies might be important to increase the different aspects of UL activity. MDPI 2022-03-15 /pmc/articles/PMC8951346/ /pubmed/35336443 http://dx.doi.org/10.3390/s22062273 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Essers, Bea Biering Lundquist, Camilla Verheyden, Geert Brunner, Iris Charlotte Determinants of Different Aspects of Upper-Limb Activity after Stroke |
title | Determinants of Different Aspects of Upper-Limb Activity after Stroke |
title_full | Determinants of Different Aspects of Upper-Limb Activity after Stroke |
title_fullStr | Determinants of Different Aspects of Upper-Limb Activity after Stroke |
title_full_unstemmed | Determinants of Different Aspects of Upper-Limb Activity after Stroke |
title_short | Determinants of Different Aspects of Upper-Limb Activity after Stroke |
title_sort | determinants of different aspects of upper-limb activity after stroke |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8951346/ https://www.ncbi.nlm.nih.gov/pubmed/35336443 http://dx.doi.org/10.3390/s22062273 |
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