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Load and fatigue monitoring in musicians using an online app: A pilot study

BACKGROUND/AIMS: High occupational injury rates are reported in musicians, with a career prevalence of up to 89%. Fatigue and playing (over)load are identified as key risk factors for musicians’ injuries. Self-report fatigue management strategies in sport have demonstrated preventive effects. A self...

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Autores principales: McCrary, J. Matt, Ascenso, Sara, Savvidou, Paola, Schraft, Séverine, McAllister, Lesley, Redding, Emma, Bastepe-Gray, Serap, Altenmüller, Eckart
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9726730/
https://www.ncbi.nlm.nih.gov/pubmed/36506990
http://dx.doi.org/10.3389/fpsyg.2022.1056892
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author McCrary, J. Matt
Ascenso, Sara
Savvidou, Paola
Schraft, Séverine
McAllister, Lesley
Redding, Emma
Bastepe-Gray, Serap
Altenmüller, Eckart
author_facet McCrary, J. Matt
Ascenso, Sara
Savvidou, Paola
Schraft, Séverine
McAllister, Lesley
Redding, Emma
Bastepe-Gray, Serap
Altenmüller, Eckart
author_sort McCrary, J. Matt
collection PubMed
description BACKGROUND/AIMS: High occupational injury rates are reported in musicians, with a career prevalence of up to 89%. Fatigue and playing (over)load are identified as key risk factors for musicians’ injuries. Self-report fatigue management strategies in sport have demonstrated preventive effects. A self-report fatigue management tool for musicians was developed based on a Delphi survey of international experts and hosted in an online app. The aims of this study are to evaluate the content validity and uptake of this new tool, and explore associations between collected performance quality, physical/psychological stress, pain, injury and fatigue data. METHODS: University and professional musicians were asked to provide entries into the online app twice per week for 1–6 months. Entries into the app were designed to take 2–3 min to complete and consisted of the following: 6 questions regarding playing load over the previous 72 h; 5 questions regarding current levels in key physical/psychological stress domains (sleep, recovery, overplaying, pain, fitness); one question self-rating of performance quality over the previous day; one question regarding current musculoskeletal symptoms; a reaction time task to evaluate psychomotor fatigue. RESULTS: N = 96 participants provided an average of 2 app entries (range 0–43). Increased playing time, rating of perceived exertion (RPE), and feelings of having to “play too much” were consistently associated with increased self-rated performance quality (p ≤ 0.004; 6.7 <| t |< 2148.5). Increased ratings of feeling fit and recovering well were consistently associated with reduced pain severity (p < 0.001; 3.8 <| t |< 20.4). Pain severity was increased (6.5/10 vs. 2.5/10; p < 0.001) in participants reporting playing-related musculoskeletal disorders (PRMDs; symptoms affecting playing). CONCLUSION: The prospective value of regular individual self-report playing load, stress, and performance data collection in musicians is clear. However, limited uptake of the online fatigue management app piloted in this study indicates that new approaches to the collection of these data are needed to realize their potential impact.
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spelling pubmed-97267302022-12-08 Load and fatigue monitoring in musicians using an online app: A pilot study McCrary, J. Matt Ascenso, Sara Savvidou, Paola Schraft, Séverine McAllister, Lesley Redding, Emma Bastepe-Gray, Serap Altenmüller, Eckart Front Psychol Psychology BACKGROUND/AIMS: High occupational injury rates are reported in musicians, with a career prevalence of up to 89%. Fatigue and playing (over)load are identified as key risk factors for musicians’ injuries. Self-report fatigue management strategies in sport have demonstrated preventive effects. A self-report fatigue management tool for musicians was developed based on a Delphi survey of international experts and hosted in an online app. The aims of this study are to evaluate the content validity and uptake of this new tool, and explore associations between collected performance quality, physical/psychological stress, pain, injury and fatigue data. METHODS: University and professional musicians were asked to provide entries into the online app twice per week for 1–6 months. Entries into the app were designed to take 2–3 min to complete and consisted of the following: 6 questions regarding playing load over the previous 72 h; 5 questions regarding current levels in key physical/psychological stress domains (sleep, recovery, overplaying, pain, fitness); one question self-rating of performance quality over the previous day; one question regarding current musculoskeletal symptoms; a reaction time task to evaluate psychomotor fatigue. RESULTS: N = 96 participants provided an average of 2 app entries (range 0–43). Increased playing time, rating of perceived exertion (RPE), and feelings of having to “play too much” were consistently associated with increased self-rated performance quality (p ≤ 0.004; 6.7 <| t |< 2148.5). Increased ratings of feeling fit and recovering well were consistently associated with reduced pain severity (p < 0.001; 3.8 <| t |< 20.4). Pain severity was increased (6.5/10 vs. 2.5/10; p < 0.001) in participants reporting playing-related musculoskeletal disorders (PRMDs; symptoms affecting playing). CONCLUSION: The prospective value of regular individual self-report playing load, stress, and performance data collection in musicians is clear. However, limited uptake of the online fatigue management app piloted in this study indicates that new approaches to the collection of these data are needed to realize their potential impact. Frontiers Media S.A. 2022-11-23 /pmc/articles/PMC9726730/ /pubmed/36506990 http://dx.doi.org/10.3389/fpsyg.2022.1056892 Text en Copyright © 2022 McCrary, Ascenso, Savvidou, Schraft, McAllister, Redding, Bastepe-Gray and Altenmüller. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
McCrary, J. Matt
Ascenso, Sara
Savvidou, Paola
Schraft, Séverine
McAllister, Lesley
Redding, Emma
Bastepe-Gray, Serap
Altenmüller, Eckart
Load and fatigue monitoring in musicians using an online app: A pilot study
title Load and fatigue monitoring in musicians using an online app: A pilot study
title_full Load and fatigue monitoring in musicians using an online app: A pilot study
title_fullStr Load and fatigue monitoring in musicians using an online app: A pilot study
title_full_unstemmed Load and fatigue monitoring in musicians using an online app: A pilot study
title_short Load and fatigue monitoring in musicians using an online app: A pilot study
title_sort load and fatigue monitoring in musicians using an online app: a pilot study
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9726730/
https://www.ncbi.nlm.nih.gov/pubmed/36506990
http://dx.doi.org/10.3389/fpsyg.2022.1056892
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