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Data driven model of midportion achilles tendinopathy health created with factor analysis

BACKGROUND: Achilles tendinopathy is a complex injury and the clinical presentation spans multiple different domains: physical and psychological symptoms, lower extremity function and tendon structure. A conceptual model of Achilles tendon health comprising these domains has been proposed in the lit...

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Autores principales: Sigurðsson, Haraldur B., Couppé, Christian, Silbernagel, Karin Grävare
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9347128/
https://www.ncbi.nlm.nih.gov/pubmed/35922770
http://dx.doi.org/10.1186/s12891-022-05702-1
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author Sigurðsson, Haraldur B.
Couppé, Christian
Silbernagel, Karin Grävare
author_facet Sigurðsson, Haraldur B.
Couppé, Christian
Silbernagel, Karin Grävare
author_sort Sigurðsson, Haraldur B.
collection PubMed
description BACKGROUND: Achilles tendinopathy is a complex injury and the clinical presentation spans multiple different domains: physical and psychological symptoms, lower extremity function and tendon structure. A conceptual model of Achilles tendon health comprising these domains has been proposed in the literature. The aim of the study was to fit a model of Achilles tendinopathy using factor analysis and compare that to the conceptual model. An inclusive approach using a wide range of variables spanning multiple potential domains were included. METHODS: Participants (N = 99) with midportion Achilles tendinopathy were assessed with variables representing symptoms, physical function, tendon structure, metabolic syndrome, and psychologic symptoms. A Kaiser-Mayer-Olkin index was used to determine suitable variables for a subsequent exploratory factor analysis. RESULTS: A model emerged with an acceptable fit to the data (standardized root mean square of residuals = 0.078). Five uncorrelated factors emerged from the model and were labelled as biopsychosocial, lower extremity function, body size, load tolerance, and tendon structure. The total explained variance was 0.51 with the five factors explaining 0.14, 0.12, 0.10, 0.08, and 0.07 respectively. The results differed from the conceptual model as the factors of psychological variables and metabolic variables did not emerge from the analysis. CONCLUSION: A data driven model of Achilles tendon health supports assessment of the clinical presentation over multiple domains. As the factors are uncorrelated, the results of assessment of, for example, tendon structure should not be expected to be associated with lower extremity function or biopsychosocial limitations. The results suggest that the Patient Reported Outcomes Measurement Information System, counter-movement jump height, body mass index, pain with hopping, and the tendon cross-sectional area can evaluate the five factors, respectively. TRIAL REGISTRATION: Registered on clinicaltrials.gov (Medicine NL of. ClinicalTrials.gov [Internet], 2018), ID number NCT03523325. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12891-022-05702-1.
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spelling pubmed-93471282022-08-04 Data driven model of midportion achilles tendinopathy health created with factor analysis Sigurðsson, Haraldur B. Couppé, Christian Silbernagel, Karin Grävare BMC Musculoskelet Disord Research BACKGROUND: Achilles tendinopathy is a complex injury and the clinical presentation spans multiple different domains: physical and psychological symptoms, lower extremity function and tendon structure. A conceptual model of Achilles tendon health comprising these domains has been proposed in the literature. The aim of the study was to fit a model of Achilles tendinopathy using factor analysis and compare that to the conceptual model. An inclusive approach using a wide range of variables spanning multiple potential domains were included. METHODS: Participants (N = 99) with midportion Achilles tendinopathy were assessed with variables representing symptoms, physical function, tendon structure, metabolic syndrome, and psychologic symptoms. A Kaiser-Mayer-Olkin index was used to determine suitable variables for a subsequent exploratory factor analysis. RESULTS: A model emerged with an acceptable fit to the data (standardized root mean square of residuals = 0.078). Five uncorrelated factors emerged from the model and were labelled as biopsychosocial, lower extremity function, body size, load tolerance, and tendon structure. The total explained variance was 0.51 with the five factors explaining 0.14, 0.12, 0.10, 0.08, and 0.07 respectively. The results differed from the conceptual model as the factors of psychological variables and metabolic variables did not emerge from the analysis. CONCLUSION: A data driven model of Achilles tendon health supports assessment of the clinical presentation over multiple domains. As the factors are uncorrelated, the results of assessment of, for example, tendon structure should not be expected to be associated with lower extremity function or biopsychosocial limitations. The results suggest that the Patient Reported Outcomes Measurement Information System, counter-movement jump height, body mass index, pain with hopping, and the tendon cross-sectional area can evaluate the five factors, respectively. TRIAL REGISTRATION: Registered on clinicaltrials.gov (Medicine NL of. ClinicalTrials.gov [Internet], 2018), ID number NCT03523325. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12891-022-05702-1. BioMed Central 2022-08-03 /pmc/articles/PMC9347128/ /pubmed/35922770 http://dx.doi.org/10.1186/s12891-022-05702-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Sigurðsson, Haraldur B.
Couppé, Christian
Silbernagel, Karin Grävare
Data driven model of midportion achilles tendinopathy health created with factor analysis
title Data driven model of midportion achilles tendinopathy health created with factor analysis
title_full Data driven model of midportion achilles tendinopathy health created with factor analysis
title_fullStr Data driven model of midportion achilles tendinopathy health created with factor analysis
title_full_unstemmed Data driven model of midportion achilles tendinopathy health created with factor analysis
title_short Data driven model of midportion achilles tendinopathy health created with factor analysis
title_sort data driven model of midportion achilles tendinopathy health created with factor analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9347128/
https://www.ncbi.nlm.nih.gov/pubmed/35922770
http://dx.doi.org/10.1186/s12891-022-05702-1
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