An Application of the Multivariate Linear Mixed Model to the Analysis of Shoulder Complexity in Breast Cancer Patients

In this study, four major muscles acting on the scapula were investigated in patients who had been treated in the last six years for unilateral carcinoma of the breast. Muscle activity was assessed by electromyography during abduction and adduction of the affected and unaffected arms. The main princ...

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Autores principales: Oskrochi, Gholamreza, Lesaffre, Emmanuel, Oskrochi, Youssof, Shamley, Delva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4808937/
https://www.ncbi.nlm.nih.gov/pubmed/26950134
http://dx.doi.org/10.3390/ijerph13030274
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author Oskrochi, Gholamreza
Lesaffre, Emmanuel
Oskrochi, Youssof
Shamley, Delva
author_facet Oskrochi, Gholamreza
Lesaffre, Emmanuel
Oskrochi, Youssof
Shamley, Delva
author_sort Oskrochi, Gholamreza
collection PubMed
description In this study, four major muscles acting on the scapula were investigated in patients who had been treated in the last six years for unilateral carcinoma of the breast. Muscle activity was assessed by electromyography during abduction and adduction of the affected and unaffected arms. The main principal aim of the study was to compare shoulder muscle activity in the affected and unaffected shoulder during elevation of the arm. A multivariate linear mixed model was introduced and applied to address the principal aims. The result of fitting this model to the data shows a huge improvement as compared to the alternatives.
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spelling pubmed-48089372016-04-04 An Application of the Multivariate Linear Mixed Model to the Analysis of Shoulder Complexity in Breast Cancer Patients Oskrochi, Gholamreza Lesaffre, Emmanuel Oskrochi, Youssof Shamley, Delva Int J Environ Res Public Health Article In this study, four major muscles acting on the scapula were investigated in patients who had been treated in the last six years for unilateral carcinoma of the breast. Muscle activity was assessed by electromyography during abduction and adduction of the affected and unaffected arms. The main principal aim of the study was to compare shoulder muscle activity in the affected and unaffected shoulder during elevation of the arm. A multivariate linear mixed model was introduced and applied to address the principal aims. The result of fitting this model to the data shows a huge improvement as compared to the alternatives. MDPI 2016-03-02 2016-03 /pmc/articles/PMC4808937/ /pubmed/26950134 http://dx.doi.org/10.3390/ijerph13030274 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Oskrochi, Gholamreza
Lesaffre, Emmanuel
Oskrochi, Youssof
Shamley, Delva
An Application of the Multivariate Linear Mixed Model to the Analysis of Shoulder Complexity in Breast Cancer Patients
title An Application of the Multivariate Linear Mixed Model to the Analysis of Shoulder Complexity in Breast Cancer Patients
title_full An Application of the Multivariate Linear Mixed Model to the Analysis of Shoulder Complexity in Breast Cancer Patients
title_fullStr An Application of the Multivariate Linear Mixed Model to the Analysis of Shoulder Complexity in Breast Cancer Patients
title_full_unstemmed An Application of the Multivariate Linear Mixed Model to the Analysis of Shoulder Complexity in Breast Cancer Patients
title_short An Application of the Multivariate Linear Mixed Model to the Analysis of Shoulder Complexity in Breast Cancer Patients
title_sort application of the multivariate linear mixed model to the analysis of shoulder complexity in breast cancer patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4808937/
https://www.ncbi.nlm.nih.gov/pubmed/26950134
http://dx.doi.org/10.3390/ijerph13030274
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