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A network analysis reveals the interaction between fear and physical features in people with neck pain

Although neck pain is known to be a complex and multifactorial condition characterised by the interplay between physical and psychological domains, a comprehensive investigation examining the interactions across multiple features is still lacking. In this study, we aimed to unravel the structure of...

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Autores principales: Devecchi, Valter, Alalawi, Ahmed, Liew, Bernard, Falla, Deborah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9253153/
https://www.ncbi.nlm.nih.gov/pubmed/35787648
http://dx.doi.org/10.1038/s41598-022-14696-8
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author Devecchi, Valter
Alalawi, Ahmed
Liew, Bernard
Falla, Deborah
author_facet Devecchi, Valter
Alalawi, Ahmed
Liew, Bernard
Falla, Deborah
author_sort Devecchi, Valter
collection PubMed
description Although neck pain is known to be a complex and multifactorial condition characterised by the interplay between physical and psychological domains, a comprehensive investigation examining the interactions across multiple features is still lacking. In this study, we aimed to unravel the structure of associations between physical measures of neuromuscular function and fear of movement in people with a history of neck pain. One hundred participants (mean age 33.3 ± 9.4) were assessed for this cross-sectional study, and the neuromuscular and kinematic features investigated were the range of motion, velocity of neck movement, smoothness of neck movement, neck proprioception (measured as the joint reposition error), and neck flexion and extension strength. The Tampa Scale for Kinesiophobia was used to assess fear of movement. A network analysis was conducted to estimate the associations across features, as well as the role of each feature in the network. The estimated network revealed that fear of movement and neuromuscular/kinematic features were conditionally dependent. Higher fear of movement was associated with a lower range of motion, velocity, smoothness of neck movement, neck muscle strength, and proprioception (partial correlations between − 0.05 and − 0.12). Strong interactions were also found between kinematics features, with partial correlations of 0.39 and 0.58 between the range of motion and velocity, and between velocity and smoothness, respectively. The velocity of neck movement was the most important feature in the network since it showed the highest strength value. Using a novel approach to analysis, this study revealed that fear of movement can be associated with a spectrum of neuromuscular/kinematic adaptations in people with a history of neck pain.
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spelling pubmed-92531532022-07-06 A network analysis reveals the interaction between fear and physical features in people with neck pain Devecchi, Valter Alalawi, Ahmed Liew, Bernard Falla, Deborah Sci Rep Article Although neck pain is known to be a complex and multifactorial condition characterised by the interplay between physical and psychological domains, a comprehensive investigation examining the interactions across multiple features is still lacking. In this study, we aimed to unravel the structure of associations between physical measures of neuromuscular function and fear of movement in people with a history of neck pain. One hundred participants (mean age 33.3 ± 9.4) were assessed for this cross-sectional study, and the neuromuscular and kinematic features investigated were the range of motion, velocity of neck movement, smoothness of neck movement, neck proprioception (measured as the joint reposition error), and neck flexion and extension strength. The Tampa Scale for Kinesiophobia was used to assess fear of movement. A network analysis was conducted to estimate the associations across features, as well as the role of each feature in the network. The estimated network revealed that fear of movement and neuromuscular/kinematic features were conditionally dependent. Higher fear of movement was associated with a lower range of motion, velocity, smoothness of neck movement, neck muscle strength, and proprioception (partial correlations between − 0.05 and − 0.12). Strong interactions were also found between kinematics features, with partial correlations of 0.39 and 0.58 between the range of motion and velocity, and between velocity and smoothness, respectively. The velocity of neck movement was the most important feature in the network since it showed the highest strength value. Using a novel approach to analysis, this study revealed that fear of movement can be associated with a spectrum of neuromuscular/kinematic adaptations in people with a history of neck pain. Nature Publishing Group UK 2022-07-04 /pmc/articles/PMC9253153/ /pubmed/35787648 http://dx.doi.org/10.1038/s41598-022-14696-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) .
spellingShingle Article
Devecchi, Valter
Alalawi, Ahmed
Liew, Bernard
Falla, Deborah
A network analysis reveals the interaction between fear and physical features in people with neck pain
title A network analysis reveals the interaction between fear and physical features in people with neck pain
title_full A network analysis reveals the interaction between fear and physical features in people with neck pain
title_fullStr A network analysis reveals the interaction between fear and physical features in people with neck pain
title_full_unstemmed A network analysis reveals the interaction between fear and physical features in people with neck pain
title_short A network analysis reveals the interaction between fear and physical features in people with neck pain
title_sort network analysis reveals the interaction between fear and physical features in people with neck pain
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9253153/
https://www.ncbi.nlm.nih.gov/pubmed/35787648
http://dx.doi.org/10.1038/s41598-022-14696-8
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