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Mobile Romberg test assessment (mRomberg)

BACKGROUND: The diagnosis of frailty is based on physical impairments and clinicians have indicated that early detection is one of the most effective methods for reducing the severity of physical frailty. Maybe, an alternative to the classical diagnosis could be the instrumentalization of classical...

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Autores principales: Galán-Mercant, Alejandro, Cuesta-Vargas, Antonio I
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4167282/
https://www.ncbi.nlm.nih.gov/pubmed/25217250
http://dx.doi.org/10.1186/1756-0500-7-640
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author Galán-Mercant, Alejandro
Cuesta-Vargas, Antonio I
author_facet Galán-Mercant, Alejandro
Cuesta-Vargas, Antonio I
author_sort Galán-Mercant, Alejandro
collection PubMed
description BACKGROUND: The diagnosis of frailty is based on physical impairments and clinicians have indicated that early detection is one of the most effective methods for reducing the severity of physical frailty. Maybe, an alternative to the classical diagnosis could be the instrumentalization of classical functional testing, as Romberg test or Timed Get Up and Go Test. The aim of this study was (I) to measure and describe the magnitude of accelerometry values in the Romberg test in two groups of frail and non-frail elderly people through instrumentation with the iPhone 4(®), (II) to analyse the performances and differences between the study groups, and (III) to analyse the performances and differences within study groups to characterise accelerometer responses to increasingly difficult challenges to balance. METHODS: This is a cross-sectional study of 18 subjects over 70 years old, 9 frail subjects and 9 non-frail subjects. The non-parametric Mann–Whitney U test was used for between-group comparisons in means values derived from different tasks. The Wilcoxon Signed-Rank test was used to analyse differences between different variants of the test in both independent study groups. RESULTS: The highest difference between groups was found in the accelerometer values with eyes closed and feet parallel: maximum peak acceleration in the lateral axis (p < 0.01), minimum peak acceleration in the lateral axis (p < 0.01) and minimum peak acceleration from the resultant vector (p < 0.01). Subjects with eyes open and feet parallel, greatest differences found between the groups were in the maximum peak acceleration in the lateral axis (p < 0.01), minimum peak acceleration in the lateral axis (p < 0.01) and minimum peak acceleration from the resultant vector (p < 0.001). With eyes closed and feet in tandem, the greatest differences found between the groups were in the minimum peak acceleration in the lateral axis (p < 0.01). CONCLUSIONS: The accelerometer fitted in the iPhone 4(®) is able to study and analyse the kinematics of the Romberg test between frail and non-frail elderly people. In addition, the results indicate that the accelerometry values also were significantly different between the frail and non-frail groups, and that values from the accelerometer accelerometer increased as the test was made more complicated.
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spelling pubmed-41672822014-09-19 Mobile Romberg test assessment (mRomberg) Galán-Mercant, Alejandro Cuesta-Vargas, Antonio I BMC Res Notes Research Article BACKGROUND: The diagnosis of frailty is based on physical impairments and clinicians have indicated that early detection is one of the most effective methods for reducing the severity of physical frailty. Maybe, an alternative to the classical diagnosis could be the instrumentalization of classical functional testing, as Romberg test or Timed Get Up and Go Test. The aim of this study was (I) to measure and describe the magnitude of accelerometry values in the Romberg test in two groups of frail and non-frail elderly people through instrumentation with the iPhone 4(®), (II) to analyse the performances and differences between the study groups, and (III) to analyse the performances and differences within study groups to characterise accelerometer responses to increasingly difficult challenges to balance. METHODS: This is a cross-sectional study of 18 subjects over 70 years old, 9 frail subjects and 9 non-frail subjects. The non-parametric Mann–Whitney U test was used for between-group comparisons in means values derived from different tasks. The Wilcoxon Signed-Rank test was used to analyse differences between different variants of the test in both independent study groups. RESULTS: The highest difference between groups was found in the accelerometer values with eyes closed and feet parallel: maximum peak acceleration in the lateral axis (p < 0.01), minimum peak acceleration in the lateral axis (p < 0.01) and minimum peak acceleration from the resultant vector (p < 0.01). Subjects with eyes open and feet parallel, greatest differences found between the groups were in the maximum peak acceleration in the lateral axis (p < 0.01), minimum peak acceleration in the lateral axis (p < 0.01) and minimum peak acceleration from the resultant vector (p < 0.001). With eyes closed and feet in tandem, the greatest differences found between the groups were in the minimum peak acceleration in the lateral axis (p < 0.01). CONCLUSIONS: The accelerometer fitted in the iPhone 4(®) is able to study and analyse the kinematics of the Romberg test between frail and non-frail elderly people. In addition, the results indicate that the accelerometry values also were significantly different between the frail and non-frail groups, and that values from the accelerometer accelerometer increased as the test was made more complicated. BioMed Central 2014-09-12 /pmc/articles/PMC4167282/ /pubmed/25217250 http://dx.doi.org/10.1186/1756-0500-7-640 Text en © Galán-Mercant and Cuesta-Vargas; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Galán-Mercant, Alejandro
Cuesta-Vargas, Antonio I
Mobile Romberg test assessment (mRomberg)
title Mobile Romberg test assessment (mRomberg)
title_full Mobile Romberg test assessment (mRomberg)
title_fullStr Mobile Romberg test assessment (mRomberg)
title_full_unstemmed Mobile Romberg test assessment (mRomberg)
title_short Mobile Romberg test assessment (mRomberg)
title_sort mobile romberg test assessment (mromberg)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4167282/
https://www.ncbi.nlm.nih.gov/pubmed/25217250
http://dx.doi.org/10.1186/1756-0500-7-640
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