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Patterns of pain location in music students: a cluster analysis
BACKGROUND: According to existing literature, musicians experience high rates of musculoskeletal (MSK) disorders involving different anatomical areas. The aim of the study was to identify patterns of pain location in a sample of music students enrolled in different pan-European music institutions. A...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7883446/ https://www.ncbi.nlm.nih.gov/pubmed/33583401 http://dx.doi.org/10.1186/s12891-021-04046-6 |
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author | Cruder, Cinzia Barbero, Marco Soldini, Emiliano Gleeson, Nigel |
author_facet | Cruder, Cinzia Barbero, Marco Soldini, Emiliano Gleeson, Nigel |
author_sort | Cruder, Cinzia |
collection | PubMed |
description | BACKGROUND: According to existing literature, musicians experience high rates of musculoskeletal (MSK) disorders involving different anatomical areas. The aim of the study was to identify patterns of pain location in a sample of music students enrolled in different pan-European music institutions. A further goal was to explore the association between the identified pain patterns and students’ characteristics. METHODS: A total of 340 music students (mean age 23.3 years, 66.2% female) with current MSK pain completed a web-based questionnaire including both background information (i.e. lifestyle and physical activity, practice habits) and clinical features (i.e. pain characteristics, disability, pain self-efficacy, psychological distress, perfectionism and fatigue). RESULTS: Five patterns of pain location were identified by hierarchical cluster analysis: wrist pain (WP) representing 22.6% of the total sample, widespread pain (WSP) (16.9%), right shoulder pain (RSP) (18.5%), both shoulders pain – left concentrated (LSP) (23.2%), neck and back pain (NBP) (18.8%). Amongst the identified patterns of pain location, bivariate analysis identified the WSP cluster as containing the largest number of associated variables. Participants in this cluster reported a higher percentage of women (p < .05), a higher perceived exertion (p < .01) and psychological distress (p < .001), as well as a lower level of self-efficacy (p < .01). Similarly, a higher percentage of participants included in the WSP cluster perceived their musical activity as the main cause of their MSK pain (p < .01). Additionally, a higher level of disability in relation to playing-related activity was reported by participants included in the WP and WSP clusters (p < .001). The RSP cluster was characterised by a higher percentage of participants playing an instrument in a neutral position (p < .001) and lower levels of socially prescribed perfectionism (p < .01). A higher percentage of participants playing an instrument with both arms elevated in the left quadrant position were included in the LSP cluster and a higher percentage of singers were included in the NBP cluster (p < .001). CONCLUSIONS: Five distinct patterns of pain location were identified and their associations with the students’ characteristics were explored. These findings may be helpful in the exploration of different aetiologies of MSK pain among musicians and in the development of targeted preventive strategies and treatments. |
format | Online Article Text |
id | pubmed-7883446 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78834462021-02-17 Patterns of pain location in music students: a cluster analysis Cruder, Cinzia Barbero, Marco Soldini, Emiliano Gleeson, Nigel BMC Musculoskelet Disord Research Article BACKGROUND: According to existing literature, musicians experience high rates of musculoskeletal (MSK) disorders involving different anatomical areas. The aim of the study was to identify patterns of pain location in a sample of music students enrolled in different pan-European music institutions. A further goal was to explore the association between the identified pain patterns and students’ characteristics. METHODS: A total of 340 music students (mean age 23.3 years, 66.2% female) with current MSK pain completed a web-based questionnaire including both background information (i.e. lifestyle and physical activity, practice habits) and clinical features (i.e. pain characteristics, disability, pain self-efficacy, psychological distress, perfectionism and fatigue). RESULTS: Five patterns of pain location were identified by hierarchical cluster analysis: wrist pain (WP) representing 22.6% of the total sample, widespread pain (WSP) (16.9%), right shoulder pain (RSP) (18.5%), both shoulders pain – left concentrated (LSP) (23.2%), neck and back pain (NBP) (18.8%). Amongst the identified patterns of pain location, bivariate analysis identified the WSP cluster as containing the largest number of associated variables. Participants in this cluster reported a higher percentage of women (p < .05), a higher perceived exertion (p < .01) and psychological distress (p < .001), as well as a lower level of self-efficacy (p < .01). Similarly, a higher percentage of participants included in the WSP cluster perceived their musical activity as the main cause of their MSK pain (p < .01). Additionally, a higher level of disability in relation to playing-related activity was reported by participants included in the WP and WSP clusters (p < .001). The RSP cluster was characterised by a higher percentage of participants playing an instrument in a neutral position (p < .001) and lower levels of socially prescribed perfectionism (p < .01). A higher percentage of participants playing an instrument with both arms elevated in the left quadrant position were included in the LSP cluster and a higher percentage of singers were included in the NBP cluster (p < .001). CONCLUSIONS: Five distinct patterns of pain location were identified and their associations with the students’ characteristics were explored. These findings may be helpful in the exploration of different aetiologies of MSK pain among musicians and in the development of targeted preventive strategies and treatments. BioMed Central 2021-02-14 /pmc/articles/PMC7883446/ /pubmed/33583401 http://dx.doi.org/10.1186/s12891-021-04046-6 Text en © The Author(s) 2021 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 Cruder, Cinzia Barbero, Marco Soldini, Emiliano Gleeson, Nigel Patterns of pain location in music students: a cluster analysis |
title | Patterns of pain location in music students: a cluster analysis |
title_full | Patterns of pain location in music students: a cluster analysis |
title_fullStr | Patterns of pain location in music students: a cluster analysis |
title_full_unstemmed | Patterns of pain location in music students: a cluster analysis |
title_short | Patterns of pain location in music students: a cluster analysis |
title_sort | patterns of pain location in music students: a cluster analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7883446/ https://www.ncbi.nlm.nih.gov/pubmed/33583401 http://dx.doi.org/10.1186/s12891-021-04046-6 |
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