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The reliability of a restraint sensor system for the computer-supported detection of spinal stabilizing muscle deficiencies

BACKGROUND: The presence of muscular deficiency seems to be a major cause of back pain that requires counteractions. Considering that the autochthonous back muscles, responsible for straightening and stabilizing the spine, cannot be activated voluntarily, they can be strengthened only through specif...

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Autores principales: Pfeifle, Christian, Edel, Melanie, Schleifenbaum, Stefan, Kühnapfel, Andreas, Heyde, Christoph-Eckhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487624/
https://www.ncbi.nlm.nih.gov/pubmed/32894106
http://dx.doi.org/10.1186/s12891-020-03597-4
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author Pfeifle, Christian
Edel, Melanie
Schleifenbaum, Stefan
Kühnapfel, Andreas
Heyde, Christoph-Eckhard
author_facet Pfeifle, Christian
Edel, Melanie
Schleifenbaum, Stefan
Kühnapfel, Andreas
Heyde, Christoph-Eckhard
author_sort Pfeifle, Christian
collection PubMed
description BACKGROUND: The presence of muscular deficiency seems to be a major cause of back pain that requires counteractions. Considering that the autochthonous back muscles, responsible for straightening and stabilizing the spine, cannot be activated voluntarily, they can be strengthened only through specific training. The computer-supported test and training system (CTT) Centaur (BfMC GmbH, Leipzig, SN, Germany) seems well suited for this purpose. To show its potential as a reliable diagnostic and training tool, this study aimed to evaluate the test-retest reliability of this 3D spatial rotation device. METHODS: A prospective pilot study was conducted in 20 healthy volunteers of both sexes. For test-retest reliability analysis, three measurements were performed with a two-day interval between each measurement. Each measurement consisted of a one-minute endurance test performed in eight different positions (transverse plane). During the test, the subject was tilted by 90° in the sagittal plane from a neutral, upright position. Meanwhile, the subject’s level of upper body stabilization along the body axis was assessed. All trunk movements (momentum values) were quantified by a multicomponent force sensor and standardized relative to the subject’s upper body mass. The range of motion was assessed by 95% confidence ellipse analysis. Here, all position-specific confidence ellipses for each measurement were merged to a summarized quantity. Finally, ICC analysis using a single-rating, absolute agreement, two-way mixed-effects model and a Bland-Altman plot was performed to determine the reliability. RESULTS: Considering all measurements (t1, t2, t3), the ICC for reliability evaluation was 0.805, and the corresponding 95% confidence interval (CI) was [0.643, 0.910]. Moreover, the Bland-Altman plots for all three pairs of time points did not show significant differences. CONCLUSION: This study concludes that the CTT Centaur shows good test-retest reliability, indicating it can be used in clinical practice in the future.
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spelling pubmed-74876242020-09-16 The reliability of a restraint sensor system for the computer-supported detection of spinal stabilizing muscle deficiencies Pfeifle, Christian Edel, Melanie Schleifenbaum, Stefan Kühnapfel, Andreas Heyde, Christoph-Eckhard BMC Musculoskelet Disord Research Article BACKGROUND: The presence of muscular deficiency seems to be a major cause of back pain that requires counteractions. Considering that the autochthonous back muscles, responsible for straightening and stabilizing the spine, cannot be activated voluntarily, they can be strengthened only through specific training. The computer-supported test and training system (CTT) Centaur (BfMC GmbH, Leipzig, SN, Germany) seems well suited for this purpose. To show its potential as a reliable diagnostic and training tool, this study aimed to evaluate the test-retest reliability of this 3D spatial rotation device. METHODS: A prospective pilot study was conducted in 20 healthy volunteers of both sexes. For test-retest reliability analysis, three measurements were performed with a two-day interval between each measurement. Each measurement consisted of a one-minute endurance test performed in eight different positions (transverse plane). During the test, the subject was tilted by 90° in the sagittal plane from a neutral, upright position. Meanwhile, the subject’s level of upper body stabilization along the body axis was assessed. All trunk movements (momentum values) were quantified by a multicomponent force sensor and standardized relative to the subject’s upper body mass. The range of motion was assessed by 95% confidence ellipse analysis. Here, all position-specific confidence ellipses for each measurement were merged to a summarized quantity. Finally, ICC analysis using a single-rating, absolute agreement, two-way mixed-effects model and a Bland-Altman plot was performed to determine the reliability. RESULTS: Considering all measurements (t1, t2, t3), the ICC for reliability evaluation was 0.805, and the corresponding 95% confidence interval (CI) was [0.643, 0.910]. Moreover, the Bland-Altman plots for all three pairs of time points did not show significant differences. CONCLUSION: This study concludes that the CTT Centaur shows good test-retest reliability, indicating it can be used in clinical practice in the future. BioMed Central 2020-09-07 /pmc/articles/PMC7487624/ /pubmed/32894106 http://dx.doi.org/10.1186/s12891-020-03597-4 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research Article
Pfeifle, Christian
Edel, Melanie
Schleifenbaum, Stefan
Kühnapfel, Andreas
Heyde, Christoph-Eckhard
The reliability of a restraint sensor system for the computer-supported detection of spinal stabilizing muscle deficiencies
title The reliability of a restraint sensor system for the computer-supported detection of spinal stabilizing muscle deficiencies
title_full The reliability of a restraint sensor system for the computer-supported detection of spinal stabilizing muscle deficiencies
title_fullStr The reliability of a restraint sensor system for the computer-supported detection of spinal stabilizing muscle deficiencies
title_full_unstemmed The reliability of a restraint sensor system for the computer-supported detection of spinal stabilizing muscle deficiencies
title_short The reliability of a restraint sensor system for the computer-supported detection of spinal stabilizing muscle deficiencies
title_sort reliability of a restraint sensor system for the computer-supported detection of spinal stabilizing muscle deficiencies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487624/
https://www.ncbi.nlm.nih.gov/pubmed/32894106
http://dx.doi.org/10.1186/s12891-020-03597-4
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