Cargando…

Predicting Advanced Balance Ability and Mobility with an Instrumented Timed Up and Go Test

Extensive test batteries are often needed to obtain a comprehensive picture of a person’s functional status. Many test batteries are not suitable for active and healthy adults due to ceiling effects, or require a lot of space, time, and training. The Community Balance and Mobility Scale (CBMS) is co...

Descripción completa

Detalles Bibliográficos
Autores principales: Bergquist, Ronny, Nerz, Corinna, Taraldsen, Kristin, Mellone, Sabato, Ihlen, Espen A.F., Vereijken, Beatrix, Helbostad, Jorunn L., Becker, Clemens, Mikolaizak, A. Stefanie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506906/
https://www.ncbi.nlm.nih.gov/pubmed/32899143
http://dx.doi.org/10.3390/s20174987
_version_ 1783585120161103872
author Bergquist, Ronny
Nerz, Corinna
Taraldsen, Kristin
Mellone, Sabato
Ihlen, Espen A.F.
Vereijken, Beatrix
Helbostad, Jorunn L.
Becker, Clemens
Mikolaizak, A. Stefanie
author_facet Bergquist, Ronny
Nerz, Corinna
Taraldsen, Kristin
Mellone, Sabato
Ihlen, Espen A.F.
Vereijken, Beatrix
Helbostad, Jorunn L.
Becker, Clemens
Mikolaizak, A. Stefanie
author_sort Bergquist, Ronny
collection PubMed
description Extensive test batteries are often needed to obtain a comprehensive picture of a person’s functional status. Many test batteries are not suitable for active and healthy adults due to ceiling effects, or require a lot of space, time, and training. The Community Balance and Mobility Scale (CBMS) is considered a gold standard for this population, but the test is complex, as well as time- and resource intensive. There is a strong need for a faster, yet sensitive and robust test of physical function in seniors. We sought to investigate whether an instrumented Timed Up and Go (iTUG) could predict the CBMS score in 60 outpatients and healthy community-dwelling seniors, where features of the iTUG were predictive, and how the prediction of CBMS with the iTUG compared to standard clinical tests. A partial least squares regression analysis was used to identify latent components explaining variation in CBMS total score. The model with iTUG features was able to predict the CBMS total score with an accuracy of 85.2% (84.9–85.5%), while standard clinical tests predicted 82.5% (82.2–82.8%) of the score. These findings suggest that a fast and easily administered iTUG could be used to predict CBMS score, providing a valuable tool for research and clinical care.
format Online
Article
Text
id pubmed-7506906
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-75069062020-09-30 Predicting Advanced Balance Ability and Mobility with an Instrumented Timed Up and Go Test Bergquist, Ronny Nerz, Corinna Taraldsen, Kristin Mellone, Sabato Ihlen, Espen A.F. Vereijken, Beatrix Helbostad, Jorunn L. Becker, Clemens Mikolaizak, A. Stefanie Sensors (Basel) Article Extensive test batteries are often needed to obtain a comprehensive picture of a person’s functional status. Many test batteries are not suitable for active and healthy adults due to ceiling effects, or require a lot of space, time, and training. The Community Balance and Mobility Scale (CBMS) is considered a gold standard for this population, but the test is complex, as well as time- and resource intensive. There is a strong need for a faster, yet sensitive and robust test of physical function in seniors. We sought to investigate whether an instrumented Timed Up and Go (iTUG) could predict the CBMS score in 60 outpatients and healthy community-dwelling seniors, where features of the iTUG were predictive, and how the prediction of CBMS with the iTUG compared to standard clinical tests. A partial least squares regression analysis was used to identify latent components explaining variation in CBMS total score. The model with iTUG features was able to predict the CBMS total score with an accuracy of 85.2% (84.9–85.5%), while standard clinical tests predicted 82.5% (82.2–82.8%) of the score. These findings suggest that a fast and easily administered iTUG could be used to predict CBMS score, providing a valuable tool for research and clinical care. MDPI 2020-09-03 /pmc/articles/PMC7506906/ /pubmed/32899143 http://dx.doi.org/10.3390/s20174987 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bergquist, Ronny
Nerz, Corinna
Taraldsen, Kristin
Mellone, Sabato
Ihlen, Espen A.F.
Vereijken, Beatrix
Helbostad, Jorunn L.
Becker, Clemens
Mikolaizak, A. Stefanie
Predicting Advanced Balance Ability and Mobility with an Instrumented Timed Up and Go Test
title Predicting Advanced Balance Ability and Mobility with an Instrumented Timed Up and Go Test
title_full Predicting Advanced Balance Ability and Mobility with an Instrumented Timed Up and Go Test
title_fullStr Predicting Advanced Balance Ability and Mobility with an Instrumented Timed Up and Go Test
title_full_unstemmed Predicting Advanced Balance Ability and Mobility with an Instrumented Timed Up and Go Test
title_short Predicting Advanced Balance Ability and Mobility with an Instrumented Timed Up and Go Test
title_sort predicting advanced balance ability and mobility with an instrumented timed up and go test
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506906/
https://www.ncbi.nlm.nih.gov/pubmed/32899143
http://dx.doi.org/10.3390/s20174987
work_keys_str_mv AT bergquistronny predictingadvancedbalanceabilityandmobilitywithaninstrumentedtimedupandgotest
AT nerzcorinna predictingadvancedbalanceabilityandmobilitywithaninstrumentedtimedupandgotest
AT taraldsenkristin predictingadvancedbalanceabilityandmobilitywithaninstrumentedtimedupandgotest
AT mellonesabato predictingadvancedbalanceabilityandmobilitywithaninstrumentedtimedupandgotest
AT ihlenespenaf predictingadvancedbalanceabilityandmobilitywithaninstrumentedtimedupandgotest
AT vereijkenbeatrix predictingadvancedbalanceabilityandmobilitywithaninstrumentedtimedupandgotest
AT helbostadjorunnl predictingadvancedbalanceabilityandmobilitywithaninstrumentedtimedupandgotest
AT beckerclemens predictingadvancedbalanceabilityandmobilitywithaninstrumentedtimedupandgotest
AT mikolaizakastefanie predictingadvancedbalanceabilityandmobilitywithaninstrumentedtimedupandgotest