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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Psychology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1664-1078</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyg.2026.1742780</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Sound, stress, and health in youth orchestras: feasibility of a multimodal psychophysiological health promotion program</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Bertsch</surname>
<given-names>Matthias</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Roos</surname>
<given-names>Marik</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Leitz</surname>
<given-names>Tristan</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Smale</surname>
<given-names>Mona</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Reuter</surname>
<given-names>Christoph</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><label>1</label><institution>Centre of Music Physiology, University of Music and Performing Arts Vienna</institution>, <city>Wien</city>, <country country="at">Austria</country></aff>
<aff id="aff2"><label>2</label><institution>SInES (Space for Interdisciplinary Experiments on Sound), University of Vienna</institution>, <city>Wien</city>, <country country="at">Austria</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Christoph Reuter, <email xlink:href="mailto:christoph.reuter@univie.ac.at">christoph.reuter@univie.ac.at</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-20">
<day>20</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1742780</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>29</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Bertsch, Roos, Leitz, Smale and Reuter.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Bertsch, Roos, Leitz, Smale and Reuter</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-20">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Young orchestral musicians face significant health challenges, including elevated psychological stress, playing-related musculoskeletal pain, and exposure to high sound pressure levels (frequently 90&#x2013;100 dB<sub>SPL</sub>) that pose risks to hearing health. Traditional music education often lacks systematic health promotion and preventative strategies, resulting in a high prevalence of health issues that can compromise long-term performance and well-being. This study addresses the need for a comprehensive, evidence-based program to promote sustainable health and resilience practices in young orchestral musicians.</p>
</sec>
<sec>
<title>Research question</title>
<p>Can a multimodal, integrated health promotion program combining acoustic, physiological, psychological, and behavioral interventions be feasibly and acceptably implemented into the intense rehearsal culture of European youth orchestras and how do participating musicians engage with the program&#x2019;s components?</p>
</sec>
<sec>
<title>Methods</title>
<p>A mixed-methods design was implemented during multi-site summer and autumn camps involving 136 musicians (aged 14&#x2013;27) from two European youth orchestras. The program consisted of six interlinked modules: (1) orchestral soundscape mapping via 16 microphones to document sound pressure levels, (2) practical interventions including daily warm-ups, &#x2018;BodyFit,&#x2019; and mental training workshops, (3) audiometric screening of 77 participants, (4) Virtual Reality Exposure Training (VRET) for performance anxiety, (5) continuous psychophysiological stress monitoring using EmbracePlus smartwatches on 15 musicians, and (6) quantitative pre- and post-camp surveys.</p>
</sec>
<sec>
<title>Results</title>
<p>Acoustic mapping confirmed significant spatial variation in sound exposure, with peak levels of 88&#x2013;100 dB<sub>SPL</sub>, particularly among brass and percussion players. Audiometric screening revealed that while most thresholds were normal, an early high-frequency mild hearing loss was already evident among brass players, highlighting potential hearing-related vulnerabilities. Wearable monitoring successfully identified individual stress patterns that were temporally associated with challenging musical passages and emotional climaxes. Post-intervention surveys indicated short-term, self-reported improvements in stress management and ergonomic awareness among participants who took part the interventions. Overall, the program showed a high degree of uptake, with over 90% engagement across modules, although inconsistent use of hearing protection remained an issue (40% reported inconsistent use).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The study demonstrates the feasibility and high degree of uptake of a multimodal health promotion framework within the context of a youth orchestra. By combining objective measurements with practical, evidence-based training, the program demonstrates how health-oriented practices can be integrated into orchestral rehearsal culture, and it provides a concrete starting point for future controlled intervention studies.</p>
</sec>
</abstract>
<kwd-group>
<kwd>health promotion</kwd>
<kwd>hearing protection</kwd>
<kwd>music performance anxiety (MPA)</kwd>
<kwd>orchestral musicians</kwd>
<kwd>playing-related musculoskeletal disorders (PRMD)</kwd>
<kwd>virtual reality exposure training (VRET)</kwd>
<kwd>wearable stress monitoring</kwd>
<kwd>youth orchestras</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This research was funded by the European Union&#x2019;s Erasmus+ Program, Cooperation Partnerships in the Field of Youth, under the project The Future of Youth Orchestra -Developing a Supportive Health Program for Young Musicians (project ID: KA220-YOU-8424F712). We also gratefully acknowledge hardware and infrastructure support provided by the University of Vienna and the University of Music and Performing Arts Vienna (mdw). Open access funding provided by University of Vienna.</funding-statement>
</funding-group>
<counts>
<fig-count count="15"/>
<table-count count="10"/>
<equation-count count="0"/>
<ref-count count="73"/>
<page-count count="28"/>
<word-count count="18100"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Performance Science</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Young orchestral musicians are exposed to a wide range of challenges that extend beyond achieving technical mastery. High-level ensemble performance frequently requires considerable physical demands, acoustically environments, and elevated psychological stress, all of which may compromise health as well as artistic performance (<xref ref-type="bibr" rid="ref3">Ackermann et al., 2014</xref>; <xref ref-type="bibr" rid="ref20">D&#x00E9;t&#x00E1;ri et al., 2020</xref>; <xref ref-type="bibr" rid="ref32">Gembris et al., 2018</xref>). Two decades ago, <xref ref-type="bibr" rid="ref16">Britsch (2005)</xref> highlighted that performance-related pain and anxiety were widespread among youth orchestra musicians; furthermore, systematic prevention and health education were largely absent. Prolonged exposure to intense sound pressure levels, combined with the psychological pressures of public performance and career preparation, raises concerns about the long-term well-being of young musicians (<xref ref-type="bibr" rid="ref32">Gembris et al., 2018</xref>). Traditional training environments often insufficiently address the physiological and psychological resilience required for sustainable performance, despite growing evidence of its importance for coping with perfectionism and mental strain among musicians (<xref ref-type="bibr" rid="ref6">Arbinaga, 2023</xref>; <xref ref-type="bibr" rid="ref9001">Kegelaers et al., 2020</xref>). Recent large-scale data from the &#x201C;Jugend musiziert&#x201D; competition in Germany indicate that up to 76% of high-performing young musicians report playing-related pain (<xref ref-type="bibr" rid="ref33">Gembris et al., 2020</xref>). Playing musical instruments places highly specific physical and psychological demands on their bodies and minds. When the balance between load and recovery is lost, musicians face an elevated risk of developing playing-related musculoskeletal disorders (PRMD) and other related health problems (<xref ref-type="bibr" rid="ref60">Spahn, 2022</xref>).</p>
<p>Early epidemiological research has already documented high rates of playing-related musculoskeletal complaints among both student and professional musicians (<xref ref-type="bibr" rid="ref28">Fry, 1986</xref>; <xref ref-type="bibr" rid="ref26">Fishbein et al., 1988</xref>; <xref ref-type="bibr" rid="ref71">Zaza, 1998</xref>; <xref ref-type="bibr" rid="ref41">Larsson et al., 1993</xref>). In a German survey of 1,862 professionals and pre-professionals, nearly half of respondents under the age of 30 reported playing-related pain in the preceding three months, and over a third indicated chronic musculoskeletal problems (<xref ref-type="bibr" rid="ref32">Gembris et al., 2018</xref>). Mental health issues such as stress symptoms and performance anxiety were also common, with one-third of the youngest cohort reporting difficulties. Hearing-related problems appeared with notable frequency, with 17% reporting tinnitus and 14% measurable hearing loss: prevalence higher than in age-matched general populations. These findings highlight the importance of implementing preventive health strategies into youth music education.</p>
<p>Several prevention programs underscore the feasibility and potential benefits of early intervention. <xref ref-type="bibr" rid="ref64">T&#x00FC;rk-Espitalier et al. (2007)</xref> implemented daily warm-ups, cool-downs, and targeted workshops addressing posture, movement, and physical training with orchestral musicians from the ages of 14&#x2013;24. The program was associated with reduced musculoskeletal strain, increased body awareness, and lower reported psychological barriers to seeking help, thus emphasizing the value of age-appropriate music physiology education. Music performance anxiety (MPA) also emerges early. <xref ref-type="bibr" rid="ref39">Kenny and Osborne (2006)</xref> validated the Music Performance Anxiety Inventory for Adolescents (MPAI-A). Their results highlighted the need for the early identification and preventive intervetions of MPA in music education, showing its association with negative performance experiences and perfectionistic tendencies, that it peaks during mid-adolesence, and that it is higher in girls.</p>
<p>Additionally, hearing-related risks are well documented: based on an analysis of health insurance data from over three million German workers, <xref ref-type="bibr" rid="ref57">Schink et al. (2014)</xref> reported significantly elevated hazard ratios (HRs) for professional musicians compared to the general population, including hearing loss (HR&#x202F;=&#x202F;1.45, 95% CI [1.28, 1.65]) and tinnitus (HR&#x202F;=&#x202F;1.57, 95% CI [1.34, 1.85]). The sound levels which musicians in an orchestra are exposed to often fall within ranges that are classified as potentially harmful to hearing (<xref ref-type="bibr" rid="ref44">Neumann and Bork, 2011</xref>). This exposure depends heavily on the instrument being played, the seating position in the orchestra, the repertoire, and the venue (<xref ref-type="bibr" rid="ref46">O&#x2019;Brien et al., 2014</xref>).</p>
<p>The average sound levels measured during concerts range between 83.3 and 91.6 dB<sub>A</sub> (<xref ref-type="bibr" rid="ref22">Doswell Royster et al., 1991</xref>), and continuous exposure in classical symphony orchestras typically ranges between 85 and 95 dB<sub>A</sub> depending on the instrument (<xref ref-type="bibr" rid="ref17">Brusis, 2010</xref>; <xref ref-type="bibr" rid="ref44">Neumann and Bork, 2011</xref>; <xref ref-type="bibr" rid="ref35">G&#x00FC;nther, 2015</xref>; <xref ref-type="bibr" rid="ref52">Phillips and Mace, 2008</xref>). It is considered normal for both rehearsals and performances to significantly exceed 85 dB<sub>A</sub>&#x2014;at which point hearing protection is recommended under occupational health guidelines&#x2014;both in symphony orchestras (<xref ref-type="bibr" rid="ref44">Neumann and Bork, 2011</xref>) and in conservatory orchestras (<xref ref-type="bibr" rid="ref53">Richter et al., 2007</xref>). According to EU <xref ref-type="bibr" rid="ref21">Directive 2003/10/EC (2003)</xref> (consolidated version as of July 26, 2019), the exposure limit for an 8-h working day is 87 dB<sub>A</sub>. As soon as 85 dB<sub>A</sub> with a peak level of 137 dB<sub>C</sub> is reached or exceeded, the employer is obliged to take measures to reduce noise exposure. The noise exposure in opera orchestras and orchestra pits is on average 3&#x2013;5&#x202F;dB higher than in symphony orchestras (<xref ref-type="bibr" rid="ref43">Lee et al., 2005</xref>; <xref ref-type="bibr" rid="ref23">Emmerich et al., 2007</xref>). Within the orchestra, the maximum level can reach up to 130&#x202F;dB (<xref ref-type="bibr" rid="ref17">Brusis, 2010</xref>; <xref ref-type="bibr" rid="ref69">Williams and Stewart, 2011</xref>; <xref ref-type="bibr" rid="ref4">Adrians, 2018</xref>), and in wind orchestras even up to 142&#x202F;dB (<xref ref-type="bibr" rid="ref12">Billeter and Hohmann, 2002</xref>; <xref ref-type="bibr" rid="ref51">Penzkofer et al., 2015</xref>). The highest sound levels are typically measured near brass players, woodwind players, and drummers/percussionists (<xref ref-type="bibr" rid="ref46">O&#x2019;Brien et al., 2014</xref>). The noise exposure of orchestral musicians can be summarized as follows (see <xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Overview of noise exposure for orchestra musicians.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Musical instrument group</th>
<th align="center" valign="top">Typical average sound exposure</th>
<th align="left" valign="top">Details and maximum values</th>
<th align="left" valign="top">References</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">conductors</td>
<td align="center" valign="top">77.2&#x2013;86.3 dB<sub>A</sub></td>
<td align="left" valign="top">Lower sound exposure levels compared to other musical instruments</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref53">Richter et al. (2007)</xref> and <xref ref-type="bibr" rid="ref54">Rodrigues et al. (2014)</xref></td>
</tr>
<tr>
<td align="left" valign="top">String instruments</td>
<td align="center" valign="top">78.9&#x2013;89.7 dB<sub>A</sub> or 81&#x2013;93 dB<sub>A</sub></td>
<td align="left" valign="top">Upper strings: 86&#x2013;93 dB<sub>A</sub>, Lower strings: 81&#x2013;87 dB<sub>A</sub></td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref22">Doswell Royster et al. (1991)</xref>, <xref ref-type="bibr" rid="ref70">Woolford et al. (1988)</xref>, and <xref ref-type="bibr" rid="ref54">Rodrigues et al. (2014)</xref></td>
</tr>
<tr>
<td align="left" valign="top">Woodwind instruments</td>
<td align="center" valign="top">86.2&#x2013;97 dB<sub>A</sub> or 90&#x2013;94 dB<sub>A</sub></td>
<td align="left" valign="top">The oboe reaches 95 to 102&#x202F;dB when measured at the ear.</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref70">Woolford et al. (1988)</xref>, <xref ref-type="bibr" rid="ref54">Rodrigues et al. (2014)</xref>, and <xref ref-type="bibr" rid="ref4">Adrians (2018)</xref></td>
</tr>
<tr>
<td align="left" valign="top">Brass instruments</td>
<td align="center" valign="top">83&#x2013;94 dB<sub>A</sub> or 87&#x2013;97 dB<sub>A</sub></td>
<td align="left" valign="top">Highest sound levels in the orchestra with more than 107 dB<sub>A</sub>, trumpet up to 93.7 dB<sub>A</sub>; French horn up to 96 dB<sub>A</sub>.</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref22">Doswell Royster et al. (1991)</xref>, <xref ref-type="bibr" rid="ref70">Woolford et al. (1988)</xref>, <xref ref-type="bibr" rid="ref12">Billeter and Hohmann (2002)</xref>, <xref ref-type="bibr" rid="ref7">Behar et al. (2008)</xref>, and <xref ref-type="bibr" rid="ref63">Toppila et al. (2011)</xref></td>
</tr>
<tr>
<td align="left" valign="top">Percussion instruments</td>
<td align="center" valign="top">88&#x2013;89.7 dB<sub>A</sub> or upt to 98 dB<sub>A</sub></td>
<td align="left" valign="top">Drums and timpani can briefly reach levels of up to 137 dB<sub>A</sub>.</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref67">Westmore and Eversden (1981)</xref>, <xref ref-type="bibr" rid="ref63">Toppila et al. (2011)</xref>, and <xref ref-type="bibr" rid="ref54">Rodrigues et al. (2014)</xref></td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Sound exposure can be asymmetric depending on which side of the body the instrument is played: for violins and violas, the left ear is exposed to a higher level on average, with a difference of 3&#x2013;8&#x202F;dB (<xref ref-type="bibr" rid="ref17">Brusis, 2010</xref>). During practice, an average of 93 dB<sub>A</sub> was measured at the left ear and 86 dB<sub>A</sub> at the right ear for violins and violas (<xref ref-type="bibr" rid="ref12">Billeter and Hohmann, 2002</xref>). In contrast, higher sound levels are measured at the right ear for the harp and horn, with an average of 95 dB<sub>A</sub> for the horn and 89 dB<sub>A</sub> for the harp (both on the right) during practice (<xref ref-type="bibr" rid="ref12">Billeter and Hohmann, 2002</xref>; <xref ref-type="bibr" rid="ref17">Brusis, 2010</xref>). In addition to their participation in orchestras, musicians are also exposed to the sound from their individual practice (typically 10&#x2013;15&#x202F;h per week) and teaching (<xref ref-type="bibr" rid="ref17">Brusis, 2010</xref>). Average levels between 60 and 107&#x202F;dB have been measured during individual practice (<xref ref-type="bibr" rid="ref46">O&#x2019;Brien et al., 2014</xref>). Complementary studies by Pawlaczyk-&#x0141;uszczy&#x0144;ska and colleagues estimated lifetime hearing loss risk at 9&#x2013;47% depending on instrument group, with brass, percussion, and high woodwinds being most affected. Excessive exposure to sound leads to noise-induced hearing loss in orchestra musicians, with damage occurring at 3 to 6&#x202F;kHz (<xref ref-type="bibr" rid="ref22">Doswell Royster et al., 1991</xref>; <xref ref-type="bibr" rid="ref53">Richter et al., 2007</xref>; <xref ref-type="bibr" rid="ref36">Jansen et al., 2009</xref>). In their study on 109 professional musicians from three major German orchestras, <xref ref-type="bibr" rid="ref23">Emmerich et al. (2007)</xref> found permanent threshold shifts of more than 15&#x202F;dB in over 50% of the participants. Their study showed that the risk of hearing damage increased with age, while surveys consistently show that fewer than 20% of musicians use hearing protection regularly, despite high awareness of the risks and the known practical limitations of currently available solutions. According to a recent study by <xref ref-type="bibr" rid="ref19">Couth et al. (2021)</xref>, there are a number of reasons why young professional musicians only use hearing protection sporadically: reduced control over the sound of their instrument, the occlusion effect (the instrument or the musicians voice seems to sound only in their head), intense performance pressure, lack of awareness of the problem, social &#x201C;stigmatization,&#x201D; uncomfortable fit, costs, or the fact that earplugs are easily get lost. Nevertheless, additional data from the Swiss National Accident Insurance Fund confirmed sustained exposure levels above 85 dB<sub>A</sub> for many orchestral musicians, necessitating regular audiometric testing and mandatory hearing protection and thus complying with to occupational safety regulations (<xref ref-type="bibr" rid="ref62">SUVA, 2020</xref>).</p>
<p>Beyond musculoskeletal and auditory health, music performance anxiety (MPA) represents another central challenge for young musicians. Virtual reality exposure training (VRET) enables practice under simulated evaluative conditions, and studies indicate that immersive VR may help alleviate anxiety and support performance-related skills (<xref ref-type="bibr" rid="ref68">Williamon et al., 2014</xref>; <xref ref-type="bibr" rid="ref34">Glowinski et al., 2015</xref>; <xref ref-type="bibr" rid="ref13">Bissonnette et al., 2016</xref>). Recent systems combine stereoscopic 360&#x00B0; video with ambisonic audio (i.e., photorealistic, scene-captured environments, rather than avatar-based worlds) and, in some cases, real-time augmented acoustics (<xref ref-type="bibr" rid="ref27">Frank et al., 2020</xref>; <xref ref-type="bibr" rid="ref9">Bertsch and Frank, 2022</xref>). These adjustable sensory factors thus allow for the manipulation of perceived pressure from evaluators and the integration of psychophysiological monitoring (electrodermal activity, EMG, heart-rate&#x2013;derived pulse, etc.) (<xref ref-type="bibr" rid="ref9">Bertsch and Frank, 2022</xref>; <xref ref-type="bibr" rid="ref10">Bertsch and Peschka, 2023</xref>). Preliminary evidence suggests that the body&#x2019;s autonomic responses in VR mirror those of live-performance, indicating that VRET may provide an ecologically valid context for research and resilience training.</p>
<p>Building on this evidence, we introduce VRET.at: an open-access, free-to-use platform delivering photorealistic, venue-specific exposure scenarios (including major European concert halls). Unlike ad-hoc anxiety-provocation tasks, VRET.at offers standardized, curriculum-ready modules suitable for youth orchestras and music schools at low cost, lowering access barriers for institutions with limited resources. The platform natively interfaces with time-stamped event logs and physiological streams to enable event-locked analyses of &#x201C;musically meaningful moments&#x201D; (e.g., solo entries, errors, cues), thereby uniting training and measurement within a single scalable framework that complements established mental-skill and health-education programs (<xref ref-type="bibr" rid="ref68">Williamon et al., 2014</xref>; <xref ref-type="bibr" rid="ref34">Glowinski et al., 2015</xref>; <xref ref-type="bibr" rid="ref13">Bissonnette et al., 2016</xref>; <xref ref-type="bibr" rid="ref10">Bertsch and Peschka, 2023</xref>). By openly sharing core assets and implementation guidelines, VRET.at aims to facilitate broader adoption and replication, while providing a safe, ethically controllable environment to practice performing under pressure.</p>
<p>Emerging work combining continuous wearables with validated stress scales shows real-world feasibility (<xref ref-type="bibr" rid="ref5">Ahmadi et al., 2025</xref>). Building on this, we implemented wearable stress monitoring devices, namely Empatica EmbracePlus in orchestral performance, to test the feasibility and ecological sensitivity of multimodal biomarkers and to link subjective experience with objective psychophysiological measures.</p>
<p>Against this background, the Erasmus+ project <italic>The Future of Youth Orchestra &#x2013; Addressing Physiological and Psychological Needs in Young Orchestral Musicians</italic> (TFOYO; tfoyo.eu), which also serves as an open-access project platform hosting related interactive media, was launched as a transnational pilot initiative. The research was coordinated by the Austrian Society for Performing Arts Health &#x0026; Music Psychology (&#x00D6;GfMM) in collaboration with the Norwegian National Youth Orchestra (NUSO) and the Landesjugendorchester Hamburg (LJO); TFOYO engaged over 130 musicians between the ages of 14&#x2013;26 in two rehearsal phases that took place in Norway and Germany. Its overarching aims were to promote sustainable musician health, enhance resilience, and strengthen intercultural collaboration by implementing evidence-based training and digital tools into youth orchestra rehearsal culture.</p>
<p>The program integrated six health and training modules: (1) orchestral soundscape documentation, (2) practical interventions including daily warm-up and ergonomic training, (3) hearing protection education and audiometric testing, (4) Virtual Reality Exposure Training (VRET) aimed at addressing music performance anxiety, (5) wearable stress monitoring with smartwatches, and (6) quantitative surveys assessing physical and mental health. All materials were developed as open-access resources to ensure long-term availability for educators and orchestras. Beyond the scientific scope, the project aligned with the Erasmus+ priorities of health promotion, digital transformation, and youth participation, actively involving young musicians in committees and elements of project design. This participatory framework reflects the European Union&#x2019;s emphasis on empowerment through co-creation and inclusive governance (<xref ref-type="bibr" rid="ref25">European Commission, 2024</xref>, pp. 7&#x2013;11). The project documentary can be found online (<xref ref-type="bibr" rid="ref15">Bor&#x00E0; and R&#x00F8;devand, 2025</xref>).</p>
</sec>
<sec id="sec2">
<label>2</label>
<title>Aims and research questions</title>
<p>The present study reports on a large-scale, multimodal field project conducted in real-world youth orchestra settings. Given the complexity of the intervention and the tightly constrained rehearsal context, the study follows a hierarchically structured set of aims and research questions.</p>
<p>The primary aim of this study was to develop, implement, and evaluate the feasibility and uptake of an integrated, multimodal health promotion framework for young orchestral musicians within intensive residential rehearsal camps. Rather than testing the efficacy of individual interventions under controlled conditions, the study focuses on whether such a comprehensive program can be logistically implemented into rehearsal culture, taken up by young musicians, and implemented without disrupting the artistic process.</p>
<p>In addition to this primary implementation-focused aim, the study pursued three secondary, exploratory aims:</p>
<list list-type="order">
<list-item>
<p>to characterize acoustic, audiological, and psychophysiological exposure patterns of young musicians in real-world orchestral settings;</p>
</list-item>
<list-item>
<p>to explore short-term, pre&#x2013;post changes in selected physical, psychological, and behavioral health indicators associated with participation in specific intervention modules;</p>
</list-item>
<list-item>
<p>to examine how individual differences in workload and stress-related behavior relate to health-relevant outcomes in youth orchestra contexts.</p>
</list-item>
</list>
<sec id="sec3">
<label>2.1</label>
<title>Primary research questions: feasibility and uptake (program implementation)</title>
<p>These research questions address the core focus of the study, namely the practical implementation of a multimodal, research-intensive health promotion program in youth orchestra rehearsal camps.</p>
<disp-quote>
<p><italic>RQ 3.1</italic> (Feasibility): Is it logistically feasible to integrate a multimodal and research-intensive health program into the tightly scheduled daily routine of youth orchestra rehearsal camps without significantly disrupting the musical process?</p>
</disp-quote>
<disp-quote>
<p><italic>RQ 3.2</italic> (Uptake): How do young musicians take up and engage with the various intervention modules (e.g., acoustic feedback, physical training, mental training), and which factors (e.g., instrument group, age) influence their willingness to participate in preventive measures such as hearing protection?</p>
</disp-quote>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Secondary research questions I: acoustics and physiology (contextual health risks)</title>
<p>These research questions aim to objectively characterize health-relevant exposure conditions in youth orchestras. They provide essential contextual information for interpreting both feasibility outcomes and exploratory health indicators but are not designed to establish causal intervention effects.</p>
<disp-quote>
<p><italic>RQ 1.1</italic> (Acoustics): What are the actual sound pressure levels and their spatial distribution during regular orchestra rehearsals, and to what extent do these levels exceed established thresholds for hearing risk in young musicians?</p>
</disp-quote>
<disp-quote>
<p><italic>RQ 1.2</italic> (Audiology): Do young orchestra musicians already show signs of hearing-related vulnerability (e.g., high-frequency threshold shifts) despite their age, and do such indicators differ between instrument groups?</p>
</disp-quote>
<disp-quote>
<p><italic>RQ 1.3</italic> (physiology): Can physiological parameters (e.g., skin conductance, heart rate variability), collected via wearable technology, be used to capture individual and context-specific stress responses during rehearsals and performances, and can these responses be temporally related to specific musical passages?</p>
</disp-quote>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>Secondary research questions II: psychology and behavior (exploratory intervention-related outcomes)</title>
<p>These research questions explore short-term, exploratory associations between participation in specific intervention modules and selected psychological, physical, and behavioral indicators. Given the non-controlled design, these questions are explicitly formulated as exploratory and do not permit confirmatory inference.</p>
<disp-quote>
<p><italic>RQ 2.1</italic> (Mental Health): Is participation in combined psychological interventions (e.g., mental training and virtual reality exposure training for performance anxiety) associated with short-term changes in music performance anxiety?</p>
<p><italic>RQ 2.2</italic> (physical health): Is participation in integrated physical training modules (e.g., BodyFit sessions and structured warm-ups) associated with changes in musicians&#x2019; ergonomic awareness and self-reported intensity or prevalence of performance-related musculoskeletal complaints in highly stressed body regions?</p>
<p><italic>RQ 2.3</italic> (Behavior): How are individual stress management styles related to rehearsal behavior (e.g., dysfunctional practice patterns) and to indicators of time investment and workload, conceptualized here as &#x201C;musical busyness&#x201D; (see 4.8.4)?</p>
</disp-quote>
<p>Taken together, the research questions follow a multilevel evaluation logic, with feasibility and uptake constituting the primary evaluative focus of the study. Acoustic, audiological, and physiological measures provide essential contextual information on exposure conditions, while psychological, physical, and behavioral indicators are examined exploratorily to inform future, more controlled intervention research.</p>
</sec>
</sec>
<sec sec-type="methods" id="sec6">
<label>3</label>
<title>Methods</title>
<sec id="sec7">
<label>3.1</label>
<title>Study design and participants</title>
<p>A total of 136 musicians from two European youth orchestras participated: the Landesjugendorchester Hamburg (LJO; <italic>n</italic>&#x202F;=&#x202F;67, 49%) and the Norwegian National Youth Orchestra (NUSO; <italic>n</italic>&#x202F;=&#x202F;69, 51%). The cohort covered all major orchestral sections: upper strings (<italic>n</italic>&#x202F;=&#x202F;55), lower strings (<italic>n</italic>&#x202F;=&#x202F;32), brass (<italic>n</italic>&#x202F;=&#x202F;21), woodwinds (<italic>n</italic>&#x202F;=&#x202F;19), percussion (<italic>n</italic>&#x202F;=&#x202F;6), and others such as keyboard and harp (<italic>n</italic> =&#x202F;3). Ages ranged from 13 to 27&#x202F;years (M&#x202F;=&#x202F;18.3); 48% were adults, 50% minors, and 2% undeclared. Gender distribution was balanced across the sample. The age distribution across instrument groups is shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>, indicating slightly higher mean ages among wind and upper string players. Participation was voluntary; written informed consent was obtained from all adult participants, and from legal guardians for participants under 18&#x202F;years of age.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Age distribution across instrument groups in the youth orchestras.</p>
</caption>
<graphic xlink:href="fpsyg-17-1742780-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Box plot showing age distribution across six instrument groups with illustrations above each: brass, percussion, lower strings, other strings, upper strings, and woodwind. Group sizes range from three to fifty-five participants. Median ages vary by group.</alt-text>
</graphic>
</fig>
<p>All musicians participated in the core program, which was composed of daily orchestra warm-ups, hearing protection lessons, and baseline health screenings. Additional intervention modules were optional and selected by the participants in advance through pre-camp consent forms, either filled out by the participants themselves or, in cases of underage participants, by their parents. Uptake was high across modules; for example, 61 participants (47.7%) marked &#x201C;I would love to do this&#x201D; for BodyFit, and 54 (42.2%) did so for Mental Training (assigned the label &#x201C;excited&#x201D; in <xref ref-type="fig" rid="fig2">Figure 2</xref>). Most of the remaining respondents selected &#x201C;It is okay to be assigned to this group&#x201D; (see <xref ref-type="fig" rid="fig2">Figure 2</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Uptake of intervention modules by consent response. Stacked bars show the number of participants per module categorized as &#x201C;excited,&#x201D; &#x201C;okay,&#x201D; &#x201C;interested,&#x201D; &#x201C;want to try,&#x201D; and &#x201C;no.&#x201D; Data are based on pre-camp consent forms (<italic>N</italic>&#x202F;=&#x202F;136).</p>
</caption>
<graphic xlink:href="fpsyg-17-1742780-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Stacked bar chart showing participant consent responses for six modules: Warm-ups, Audiometric screening, Surveys, Stress monitoring, Mental Training, BodyFit, and VR Stagefright Training. Most modules have high "excited" and "okay" responses, with fewer "no" or "want to try" responses.</alt-text>
</graphic>
</fig>
<p>Due to the nature of the project, methodological considerations regarding sample size for the overall questionnaires were considered superfluous, since the number of attendees was determined by the program&#x2019;s organizational capacity. The musicians therefore functioned as a convenience sample.</p>
<p>Regarding the intervention groups, we aimed to assign around 20 participants to each intervention group to be able to test for middle to large effect sizes (16&#x2013;20 people for Pearson&#x2019;s r as well as Cohen&#x2019;s d&#x202F;&#x003E;&#x202F;0.5), taking a natural drop-out risk of 5&#x2013;10% into account. As funding was limited to only 15 smartwatches, only large effects were able to be accounted.</p>
<p>Final groups were allocated based on participants&#x2019; preferences and included 57 musicians in BodyFit (27 adults, 30 minors), 54 in Mental Training (28 adults, 26 minors), and 13 in VRET. Overall, fewer than 8% of participants declined participation in any additional module.</p>
</sec>
<sec id="sec8">
<label>3.2</label>
<title>Camps and project structure</title>
<p>The project consisted of two main phases. The first phase was a 10-day summer camp in Bod&#x00F8; from August 3&#x2013;11, 2024, which culminated in a concert at the Stormen Concert Hall. The second phase was a 3-day autumn camp in Hamburg from October 2&#x2013;4, 2024, culminating in a public concert under professional performance conditions at the Elbphilharmonie on October 5, 2024. This design enabled repeated measurements in intensive rehearsal and high-pressure performance contexts.</p>
<p>A brief feedback questionnaire was administered immediately after the Bod&#x00F8; phase, followed by a comprehensive questionnaire six weeks later to enable comparative analyses. All participants took part in daily collective interventions (tutti warm-up routines, the &#x201C;Get in the Zone&#x201D; instructional video, an educational lecture format, and audiometric screening) and were additionally assigned to one intervention track comprising three structured sessions of approximately 60&#x202F;min per week.</p>
<p>The orchestral camp in Bod&#x00F8;, Norway, followed an intensive daily schedule of tutti and sectional rehearsals, health-related workshops, and intervention sessions. Short breaks and frequent transfers between accommodations, rehearsal venues, and dining facilities affected physical strain. Evening activities such as concerts and social events further reduced recovery opportunities. The Arctic summer light conditions may have influenced sleep and recovery patterns.</p>
<p>The joint concert program featured Gy&#x00F6;rgy Ligeti&#x2019;s Lontano, excerpts from Sergei Prokofiev&#x2019;s Romeo and Juliet Suites Nos. 1 and 2, and Ottorino Respighi&#x2019;s Pini di Roma, conducted by Torodd Wigum and Johannes Witt. In Bod&#x00F8;, the program additionally included Ingebj&#x00F8;rg Vilhelmsen&#x2019;s Festivity (Fest Overture).</p>
<p>The study was embedded within the Erasmus+ pilot project <italic>The Future of Youth Orchestra &#x2013; Addressing Physiological and Psychological Needs in Young Orchestral Musicians (TFOYO)</italic>, coordinated by the Norwegian National Youth Orchestra (NUSO) in collaboration with the Landesjugendorchester Hamburg (LJO) and the Austrian Society for Performing Arts Health &#x0026; Music Psychology (&#x00D6;GfMM), with the scientific conception, study design, and evaluation led by the &#x00D6;GfMM research group. A mixed-methods approach combined quantitative measures (e.g., audiometric thresholds, SPL exposure, biometric stress markers) with qualitative data (e.g., self-reported anxiety and reflections on training experiences) to support a comprehensive evaluation of the program. Rather than testing isolated components, quantitative and qualitative data were jointly interpreted to assess the feasibility and acceptance of the overall multimodal intervention framework. The overarching aim was to support health awareness, resilience, and performance readiness in young musicians by integrating evidence-based interventions into youth orchestra rehearsal culture.</p>
</sec>
<sec id="sec9">
<label>3.3</label>
<title>Acoustic soundscape analysis and mapping</title>
<p>To document the acoustic conditions within the orchestra, sixteen measuring microphones (Behringer ECM8000) recorded in a multitrack session in Adobe Audition (16 mono tracks, each 48.000&#x202F;Hz, 32 Bit) were placed at representative musician positions during a rehearsal of Ingebj&#x00F8;rg Vilhelmsen&#x2019;s orchestral piece, &#x201C;Festivity&#x201D; (<xref ref-type="bibr" rid="ref65">Vilhelmsen, 2023</xref>). This piece was chosen because, within three minutes, it runs through a variety of volumes between <italic>ppp</italic> and <italic>fff</italic>, which are the typical dynamic extremes in an orchestra. Calibrated to 114 dB<sub>SPL</sub> at 1000&#x202F;Hz using an ND9 acoustic calibrator, the microphones were placed at ear level for musicians from 15 instrument groups and the conductor. This allowed the musicians&#x2019; sound exposure during the performance to be recorded as sound pressure levels in dB<sub>SPL</sub>. In addition, these sixteen synchronized orchestra tracks were used to create a soundscape visualization in which the listener can interactively observe the listening positions of individual orchestral musicians to explore the orchestra&#x2019;s internal soundscape. Additional documentary recordings were made using an Insta360 Pro camera with 360&#x00B0; Ambisonic audio and 8&#x202F;K video capabilities, providing immersive audiovisual documentation.</p>
</sec>
<sec id="sec10">
<label>3.4</label>
<title>Audiometric screening</title>
<p>Audiometric testing was conducted by a certified occupational health physician using a Zeisberg CA350 clinical USB audiometer with AudioApp software and calibrated HDA280 headphones. Standard air-conduction thresholds (125&#x2013;8,000&#x202F;Hz) were assessed following pure-tone audiometry protocols. In total, 77 participants (41 female, 36 males; aged 14&#x2013;27&#x202F;years) completed audiometry during the Bod&#x00F8; rehearsal phase, covering all major instrumental groups (50 strings, 11 woodwinds, 16 brass, 1 percussion). A small number of staff musicians and instructors (up to 57&#x202F;years old) were also included to provide reference data. As part of the hearing-health module, all musicians received an illustrated fact sheet on safe exposure limits and hearing-protection strategies by <xref ref-type="bibr" rid="ref11">Bertsch et al. (2024)</xref>, followed by an interactive Kahoot<sup>&#x00AE;</sup> quiz attended by over 100 participants. This combined diagnostic-educational approach supported awareness and prevention. If no clinical audiometer is available in follow-up studies or for self-diagnosis by musicians, the BHI Quick Hearing Check (<xref ref-type="bibr" rid="ref40">Kochkin and Bentler, 2010</xref>) can be recommended as an inexpensive and time-saving alternative for evaluating hearing thresholds.</p>
</sec>
<sec id="sec11">
<label>3.5</label>
<title>Psychophysiological stress monitoring</title>
<p>Fifteen musicians (10 string players, 5 wind players) participated in continuous psychophysiological monitoring using Empatica EmbracePlus smartwatches. Participation was voluntary and restricted to musicians aged 18&#x202F;years or older who had expressed strong interest in this module during pre-camp consent procedures. All participants were members of the Hamburg orchestra cohort, as devices were distributed and configured locally in Hamburg for logistical reasons.</p>
<p>The smartwatches recorded electrodermal activity (EDA; tonic skin conductance level in &#x03BC;S, 4&#x202F;Hz), blood volume pulse (BVP; 64&#x202F;Hz), wrist skin temperature (1&#x202F;Hz), and tri-axial accelerometry (64&#x202F;Hz). In the present study, analyses focused on tonic EDA, pulse rate derived from BVP, and wrist temperature. Other parameters provided by the device (e.g., HRV, sleep detection) were not included in the analyses reported here.</p>
<p>Physiological data were time-stamped and transmitted via dedicated smartphones to a GDPR-compliant secure cloud infrastructure, where all data were stored under anonymized numeric participant IDs. Only the participants themselves and the project lead could link IDs to individual identities, in accordance with the approved ethics protocol.</p>
<p>To enable event-related analyses, physiological data streams were temporally synchronized with private video recordings of rehearsals, concerts, and virtual reality sessions using shared timecodes. Musical events (e.g., entrances, solos, structurally demanding passages) were identified based on annotated scores and video footage, allowing alignment of physiological signals at the level of minutes and, where applicable, seconds.</p>
<p>Qualitative self-reports were collected through audio-recorded semi-structured interviews comprised of open questions conducted before and after concerts, which were subsequently transcribed. In addition, follow-up questions were sent by e-mail approximately one week after the project, asking participants to describe particularly memorable or emotionally salient moments during the concert. All qualitative data were linked to the corresponding physiological recordings via the anonymized participant IDs and used to support multimodal interpretation.</p>
<p>Analyses were exploratory and focused on assessing the feasibility and ecological suitability of wearable stress monitoring in live orchestral performance contexts, including the robustness of data acquisition, the presence of movement artefacts, and the interpretability of individual time courses.</p>
</sec>
<sec id="sec12">
<label>3.6</label>
<title>Psychological health: virtual reality exposure training (VRET)</title>
<p>The virtual reality exposure training (VRET) module was designed to simulate high-stakes performance situations in photorealistic concert venues, with the primary aim of examining the feasibility and ecological suitability of VR-based exposure settings within youth orchestra rehearsal camps. Visual recordings were captured using stereoscopic 8&#x202F;K 360&#x00B0; images and videos from established concert venues, including the Elbphilharmonie in Hamburg and concert stages in Vienna. The performance scenarios additionally included a big band solo rehearsal setting. Although the Augmented Practice Room system (developed by IEM Graz and implemented at the Motion-Emotion Lab, mdw Vienna) allows real-time augmented room acoustics, it was not sufficiently portable for use during the Bod&#x00F8; camp. Accordingly, the VRET module employed pre-rendered visual scenes without real-time acoustic augmentation.</p>
<p>Participation in the VRET module was voluntary and restricted to brass players, as this instrument group can perform without direct visual reference to the instrument, ensuring methodological comparability across participants. Following the consent procedure, 15 wind players expressed strong interest in participating. Thirteen participants (aged 16&#x2013;20&#x202F;years) attended an initial introductory and briefing session and thus constituted the VRET sample (<italic>N</italic>&#x202F;=&#x202F;13). Across the camp, six VRET sessions of approximately 60&#x202F;min were offered; participants were invited to select up to three sessions depending on availability. Individual active playing time within each session was approximately 10&#x2013;15&#x202F;min, while other participants observed the session in a group setting.</p>
<p>During the Bod&#x00F8; camp, VRET sessions were conducted in a classroom environment using Meta Quest Pro head-mounted displays. To minimize the risk of cybersickness, all scenarios employed fixed panoramic viewpoints without artificial spatial movement. The visual scenarios were comprised of solo audition excerpts, selected orchestral passages, and improvisation prompts. Stress-inducing elements were introduced through simulated jury presence and camera recording, accompanied by task instructions (e.g., performing short, memorized excerpts), while no explicit time pressure was imposed. All sessions were video-recorded with second-level timecodes; selected performances were additionally live-streamed via a private YouTube channel to increase evaluative salience. Participants were informed about the recording procedures and were free to discontinue participation at any time in accordance with the approved ethics protocol. No cases of cybersickness were reported.</p>
<p>The VRET module was designed for multimodal research integration. Physiological monitoring via Empatica EmbracePlus smartwatches was conducted for a subset of participants who also took part in the stress-monitoring module (see Section 3.4). In addition, time-stamped VR event information (e.g., task onset, performance phases) and brief qualitative self-reports collected after sessions were used to enable exploratory, case-based, event-locked analyses linking task characteristics with psychophysiological responses. The focus of the VRET module was on feasibility, technical robustness, and the interpretability of synchronized multimodal data in live rehearsal and performance contexts rather than on evaluating therapeutic efficacy.</p>
</sec>
<sec id="sec13">
<label>3.7</label>
<title>Physical health and behavior: practical interventions</title>
<p>The practical intervention program consisted of daily warm-ups, instructional media, educational activities, and small-group workshops, all delivered by certified specialists and integrated into the rehearsal schedule.</p>
<sec id="sec14">
<label>3.7.1</label>
<title>Daily warm-ups and mental preparation</title>
<p>At the beginning of the morning tutti rehearsals and dress rehearsals, the full orchestra participated in ~10-min warm-up sessions designed to reduce musculoskeletal strain and enhance focus. Framed as the first 10&#x202F;min of rehearsal (not a pre-rehearsal extra), the routine achieved near-universal uptake and punctual participation across sections. Sessions combined (a) <italic>physiological warm-ups</italic> (low-impact mobility, posture, and circulation exercises) and (b) <italic>mental warm-ups</italic> (breathing, relaxation, and confidence-building techniques).</p>
</sec>
<sec id="sec15">
<label>3.7.2</label>
<title>Instructional video &#x201C;Get in the Zone&#x201D;</title>
<p>A four-minute instructional video featuring eight guided exercises (balance, focusing, spinal mobility, flexibility, facial relaxation, sensory activation, tension release, dynamic shaking, and power posing) was produced and used during the camps as a standardized collective warm-up resource. The video, titled &#x201C;Get in the Zone,&#x201D; was developed collaboratively by three certified experts in music physiology, mental training, and performing arts medicine, and integrates established, evidence-informed exercises commonly used in musician health and performance preparation. It was published under a CC BY-NC 4.0 license for open-access dissemination (<xref ref-type="bibr" rid="ref48">&#x00D6;sterreichische Gesellschaft f&#x00FC;r Musik und Medizin (&#x00D6;GfMM) Primafit, 2024</xref>).</p>
</sec>
<sec id="sec16">
<label>3.7.3</label>
<title>Health education</title>
<p>A dedicated evening session (&#x201C;Kahoot Fun Night&#x201D;) combined illustrated fact sheets on safe sound exposure with interactive lectures and a game-based quiz format to reinforce hearing-health, physical and mental well-being, and stress-prevention strategies.</p>
</sec>
<sec id="sec17">
<label>3.7.4</label>
<title>Group-based workshops</title>
<p>On the consent/registration form, musicians indicated their openness and preference for the afternoon workshops (response options included &#x201C;excited&#x201D; and &#x201C;okay&#x201D;). To ensure balance, participants who were open to both BodyFit and Mental Training were randomly assigned, stratified by age, gender, and instrument group. When a clear preference was expressed (e.g., excited for one and okay for the other), it was honored in up to ~30% of cases to accommodate participant autonomy while maintaining overall balance. The workshops included the following:</p>
<list list-type="bullet">
<list-item>
<p><italic>Mental training</italic> (Groups A/B): breathing techniques, progressive muscle relaxation, mental practice strategies, and self-confidence-boosting methods. Group A: minors (&#x003C;18). Group B: adults (&#x2265;18)</p>
</list-item>
<list-item>
<p><italic>BodyFit for young orchestra musicians</italic> (Groups C/D): body-awareness, compensatory exercises, and instrument-specific ergonomics. Group C: minors (&#x003C;18). Group D: adults (&#x2265;18). The BodyFit workshops were informed by established principles of music physiology and performing arts medicine, drawing on long-standing practice-based knowledge rather than a single standardized protocol.</p>
</list-item>
<list-item>
<p><italic>Virtual reality exposure training (VRET)</italic> (Group E, limited to wind/brass): all eligible players expressed high interest and were assigned accordingly. VRET used immersive 360&#x00B0; audiovisual simulations of performance environments to familiarize musicians with high-pressure situations.</p>
</list-item>
</list>
<p>Workshop attendance was logged; spontaneous participation outside assigned groups was noted. All sessions were scheduled around the rehearsal plan without interfering with artistic preparation.</p>
<p>Alongside live interventions, the program included digital handouts, instructional media, and online reports to ensure sustained accessibility for educators and orchestras beyond the camp phases.</p>
</sec>
</sec>
<sec id="sec18">
<label>3.8</label>
<title>Surveys and test inventories</title>
<p>To assess psychological, physical, and hearing-related health parameters, a standardized survey battery was administered at two measurement points: pre-camp (July 2024, before the Bod&#x00F8; phase) and post-camp (September/October 2024, before the Elbphilharmonie concert).</p>
<sec id="sec19">
<label>3.8.1</label>
<title>Instruments</title>
<list list-type="bullet">
<list-item>
<p>Music Performance Anxiety Inventory for Adolescents (MPAI-A; <xref ref-type="bibr" rid="ref47">Osborne and Kenny, 2005</xref>): assesses cognitive, physiological, and behavioral dimensions of performance anxiety.</p>
</list-item>
<list-item>
<p>Performance Anxiety Questionnaire (adapted K-MPAI, <xref ref-type="bibr" rid="ref37">Kenny, 2011</xref>): extended screening of music performance anxiety (40- and 15-item versions).</p>
</list-item>
<list-item>
<p>Stressverarbeitungsfragebogen (SVF-78; <xref ref-type="bibr" rid="ref24">Erdmann and Janke, 2008</xref>): evaluates coping strategies for stress, distinguishing between functional and dysfunctional patterns.</p>
</list-item>
<list-item>
<p>Leistungsmotivations-Inventar (LMI; <xref ref-type="bibr" rid="ref58">Schuler et al., 2001</xref>): measures achievement motivation (goal setting, persistence, self-confidence).</p>
</list-item>
<list-item>
<p>Dysfunctional Practice Behavior Scale (<xref ref-type="bibr" rid="ref55">Roos et al., 2017</xref>): identifies harmful practicing habits, such as neglecting own physical and mental health in favor of practicing.</p>
</list-item>
<list-item>
<p>Hearing Health Questionnaire (custom): assesses perceived hearing problems (e.g., tinnitus, hyperacusis), awareness of acoustic risks, and hearing-protection behavior.</p>
</list-item>
<list-item>
<p>Musicians&#x2019; Health Items [adapted from <xref ref-type="bibr" rid="ref56">Samsel et al. (2005)</xref> and <xref ref-type="bibr" rid="ref31">Gembris and Ebinger (2014)</xref>]: addresses posture, muscle tension, pain occurrence and coping with pain, body awareness, health knowledge, and professional aspirations.</p>
</list-item>
<list-item>
<p>Musical Stress Coping Questionnaire (custom): additional items on practice-related strain, adaptive vs. maladaptive strategies, and daily stressors.</p>
</list-item>
</list>
</sec>
<sec id="sec20">
<label>3.8.2</label>
<title>Administration</title>
<list list-type="bullet">
<list-item>
<p>Surveys were administered online (SoSci Survey) in German and English.</p>
</list-item>
<list-item>
<p>Participation was voluntary; items could be skipped.</p>
</list-item>
<list-item>
<p>Participants completed the online surveys independently at home at two time points: four weeks prior to the Bod&#x00F8; Camp and four weeks before the Hamburg Camp. They were informed and reminded via email to ensure timely participation.</p>
</list-item>
<list-item>
<p>The full in pre-camp survey battery required approximately 55&#x202F;min to complete.</p>
</list-item>
<list-item>
<p>Demographic and musical background data were also collected (instrument, years of training, lesson history, ensemble activity, weekly rehearsal frequency, and concert experience).</p>
</list-item>
<list-item>
<p>Those inventories which were not available in a standardized version in English, we translated together with native speakers in the field and let target group-equivalent people check for possible misunderstandings.</p>
</list-item>
</list>
</sec>
</sec>
<sec id="sec21">
<label>3.9</label>
<title>Data handling</title>
<p>Each participant received a pseudonymized study ID to link pre- and post-camp data while preserving confidentiality. Data were stored in a secure, password-protected database in accordance with the ethics approval granted by the University of Music and Performing Arts Vienna (May 2024).</p>
</sec>
</sec>
<sec sec-type="results" id="sec22">
<label>4</label>
<title>Results</title>
<sec id="sec23">
<label>4.1</label>
<title>Acoustic soundscape analysis and mapping</title>
<p>By summarizing the dynamic values at the ears of the individual musicians (see <xref ref-type="table" rid="tab2">Tables 2</xref>, <xref ref-type="table" rid="tab3">3</xref>), it can be seen, particularly at the median and maximum levels, that the ears of the conductor (79.0 dB<sub>SPL median</sub>, 91.8 dB<sub>SPL max,</sub> 75.2 dB<sub>A median</sub>, 83.8 dB<sub>A max</sub>) and double bass players (79.8 dB<sub>SPL median</sub>, 90.8 dB<sub>SPL max,</sub> 73.5 dB<sub>A median</sub>, 83.0 dB<sub>A max</sub>) are at least at risk. In contrast, the ears of wind and percussion instrumentalists are particularly at risk: with median levels of up to 87.8 dB<sub>SPL median</sub> (83.0 dB<sub>A</sub>, French horn) and maximum values of up to 101.1&#x202F;dB (95.5 dB<sub>A</sub>. timpani) they mainly play in a range above 85 dB<sub>SPL</sub>, where sound begins to have a harmful effect on hearing after extended exposure.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Sound pressure level exposure (in dB<sub>SPL</sub>) of the conductor and musicians playing string instruments (top) as well as wind and percussion instruments (bottom), measured at ear level within the respective instrument group.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>Instruments</th>
<th align="center" valign="top">Conductor</th>
<th align="center" valign="top">Violin 1, front</th>
<th align="center" valign="top">Violin 1, rear</th>
<th align="center" valign="top">Violin 2, front</th>
<th align="center" valign="top">Violin 2, rear</th>
<th align="center" valign="top">Viola</th>
<th align="center" valign="top">Violon-cello</th>
<th align="center" valign="top">Double Bass</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Mean</td>
<td align="center" valign="top">77.52</td>
<td align="center" valign="top">80.74</td>
<td align="center" valign="top">78.94</td>
<td align="center" valign="top">80.51</td>
<td align="center" valign="top">80.65</td>
<td align="center" valign="top">80.78</td>
<td align="center" valign="top">79.80</td>
<td align="center" valign="top">77.58</td>
</tr>
<tr>
<td align="left" valign="top">Median</td>
<td align="center" valign="top">78.96</td>
<td align="center" valign="top">82.62</td>
<td align="center" valign="top">80.53</td>
<td align="center" valign="top">82.23</td>
<td align="center" valign="top">82.81</td>
<td align="center" valign="top">82.83</td>
<td align="center" valign="top">82.01</td>
<td align="center" valign="top">79.79</td>
</tr>
<tr>
<td align="left" valign="top">q1 (25%)</td>
<td align="center" valign="top">73.77</td>
<td align="center" valign="top">78.28</td>
<td align="center" valign="top">75.83</td>
<td align="center" valign="top">77.43</td>
<td align="center" valign="top">76.95</td>
<td align="center" valign="top">75.25</td>
<td align="center" valign="top">74.34</td>
<td align="center" valign="top">72.68</td>
</tr>
<tr>
<td align="left" valign="top">q3 (75%)</td>
<td align="center" valign="top">83.38</td>
<td align="center" valign="top">85.94</td>
<td align="center" valign="top">84.91</td>
<td align="center" valign="top">86.60</td>
<td align="center" valign="top">86.42</td>
<td align="center" valign="top">88.00</td>
<td align="center" valign="top">87.04</td>
<td align="center" valign="top">84.58</td>
</tr>
<tr>
<td align="left" valign="top">IQR</td>
<td align="center" valign="top">9.61</td>
<td align="center" valign="top">7.66</td>
<td align="center" valign="top">9.08</td>
<td align="center" valign="top">9.17</td>
<td align="center" valign="top">9.47</td>
<td align="center" valign="top">12.75</td>
<td align="center" valign="top">12.70</td>
<td align="center" valign="top">11.90</td>
</tr>
<tr>
<td align="left" valign="top">Min</td>
<td align="center" valign="top">39.88</td>
<td align="center" valign="top">41.13</td>
<td align="center" valign="top">42.09</td>
<td align="center" valign="top">42.14</td>
<td align="center" valign="top">43.53</td>
<td align="center" valign="top">43.85</td>
<td align="center" valign="top">41.01</td>
<td align="center" valign="top">39.70</td>
</tr>
<tr>
<td align="left" valign="top">Max</td>
<td align="center" valign="top">91.81</td>
<td align="center" valign="top">94.01</td>
<td align="center" valign="top">91.99</td>
<td align="center" valign="top">94.28</td>
<td align="center" valign="top">95.83</td>
<td align="center" valign="top">96.13</td>
<td align="center" valign="top">94.01</td>
<td align="center" valign="top">90.79</td>
</tr>
<tr>
<td align="left" valign="top">Range</td>
<td align="center" valign="top">51.93</td>
<td align="center" valign="top">52.88</td>
<td align="center" valign="top">49.90</td>
<td align="center" valign="top">52.14</td>
<td align="center" valign="top">52.30</td>
<td align="center" valign="top">52.28</td>
<td align="center" valign="top">53.00</td>
<td align="center" valign="top">51.09</td>
</tr>
</tbody>
</table>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>Instruments</th>
<th align="center" valign="top">Flute clarinet</th>
<th align="center" valign="top">Bassoon</th>
<th align="center" valign="top">French horn</th>
<th align="center" valign="top">Trumpet</th>
<th align="center" valign="top">Trombone</th>
<th align="center" valign="top">Tuba</th>
<th align="center" valign="top">Timpani</th>
<th align="center" valign="top">Percussion</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Mean</td>
<td align="center" valign="top">82.06</td>
<td align="center" valign="top">84.05</td>
<td align="center" valign="top">84.48</td>
<td align="center" valign="top">81.86</td>
<td align="center" valign="top">81.85</td>
<td align="center" valign="top">81.08</td>
<td align="center" valign="top">82.86</td>
<td align="center" valign="top">78.40</td>
</tr>
<tr>
<td align="left" valign="top">Median</td>
<td align="center" valign="top">85.34</td>
<td align="center" valign="top">86.84</td>
<td align="center" valign="top">87.78</td>
<td align="center" valign="top">84.27</td>
<td align="center" valign="top">85.45</td>
<td align="center" valign="top">84.99</td>
<td align="center" valign="top">84.39</td>
<td align="center" valign="top">80.48</td>
</tr>
<tr>
<td align="left" valign="top">q1 (25%)</td>
<td align="center" valign="top">77.08</td>
<td align="center" valign="top">78.48</td>
<td align="center" valign="top">83.06</td>
<td align="center" valign="top">78.02</td>
<td align="center" valign="top">74.47</td>
<td align="center" valign="top">73.62</td>
<td align="center" valign="top">76.30</td>
<td align="center" valign="top">73.08</td>
</tr>
<tr>
<td align="left" valign="top">q3 (75%)</td>
<td align="center" valign="top">88.88</td>
<td align="center" valign="top">91.98</td>
<td align="center" valign="top">90.90</td>
<td align="center" valign="top">88.76</td>
<td align="center" valign="top">90.14</td>
<td align="center" valign="top">89.37</td>
<td align="center" valign="top">90.73</td>
<td align="center" valign="top">85.61</td>
</tr>
<tr>
<td align="left" valign="top">IQR</td>
<td align="center" valign="top">11.80</td>
<td align="center" valign="top">13.50</td>
<td align="center" valign="top">7.84</td>
<td align="center" valign="top">10.74</td>
<td align="center" valign="top">15.67</td>
<td align="center" valign="top">15.75</td>
<td align="center" valign="top">14.44</td>
<td align="center" valign="top">12.54</td>
</tr>
<tr>
<td align="left" valign="top">Min</td>
<td align="center" valign="top">38.90</td>
<td align="center" valign="top">40.33</td>
<td align="center" valign="top">39.33</td>
<td align="center" valign="top">37.65</td>
<td align="center" valign="top">40.41</td>
<td align="center" valign="top">40.03</td>
<td align="center" valign="top">41.12</td>
<td align="center" valign="top">39.86</td>
</tr>
<tr>
<td align="left" valign="top">Max</td>
<td align="center" valign="top">93.71</td>
<td align="center" valign="top">97.45</td>
<td align="center" valign="top">97.45</td>
<td align="center" valign="top">94.86</td>
<td align="center" valign="top">95.85</td>
<td align="center" valign="top">94.57</td>
<td align="center" valign="top">101.09</td>
<td align="center" valign="top">96.21</td>
</tr>
<tr>
<td align="left" valign="top">Range</td>
<td align="center" valign="top">54.81</td>
<td align="center" valign="top">57.12</td>
<td align="center" valign="top">58.12</td>
<td align="center" valign="top">57.21</td>
<td align="center" valign="top">55.44</td>
<td align="center" valign="top">54.54</td>
<td align="center" valign="top">59.97</td>
<td align="center" valign="top">56.35</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Sound pressure level exposure (in dB<sub>A</sub>) of the conductor and musicians playing string instruments (top) as well as wind and percussion instruments (bottom), measured at ear level within the respective instrument group.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>Instruments</th>
<th align="center" valign="top">Conductor</th>
<th align="center" valign="top">Violin 1, front</th>
<th align="center" valign="top">Violin 1, rear</th>
<th align="center" valign="top">Violin 2, front</th>
<th align="center" valign="top">Violin 2, rear</th>
<th align="center" valign="top">Viola</th>
<th align="center" valign="top">Violon-cello</th>
<th align="center" valign="top">Double Bass</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Mean</td>
<td align="center" valign="top">74.2</td>
<td align="center" valign="top">77.9</td>
<td align="center" valign="top">76.1</td>
<td align="center" valign="top">76.8</td>
<td align="center" valign="top">78.5</td>
<td align="center" valign="top">77.0</td>
<td align="center" valign="top">74.9</td>
<td align="center" valign="top">72.4</td>
</tr>
<tr>
<td align="left" valign="top">Median</td>
<td align="center" valign="top">75.2</td>
<td align="center" valign="top">79.6</td>
<td align="center" valign="top">77.3</td>
<td align="center" valign="top">78.1</td>
<td align="center" valign="top">79.8</td>
<td align="center" valign="top">78.2</td>
<td align="center" valign="top">75.9</td>
<td align="center" valign="top">73.5</td>
</tr>
<tr>
<td align="left" valign="top">q1 (25%)</td>
<td align="center" valign="top">70.81</td>
<td align="center" valign="top">75.08</td>
<td align="center" valign="top">72.88</td>
<td align="center" valign="top">73.99</td>
<td align="center" valign="top">75.08</td>
<td align="center" valign="top">72.81</td>
<td align="center" valign="top">70.85</td>
<td align="center" valign="top">68.36</td>
</tr>
<tr>
<td align="left" valign="top">q3 (75%)</td>
<td align="center" valign="top">78.22</td>
<td align="center" valign="top">82.81</td>
<td align="center" valign="top">81.12</td>
<td align="center" valign="top">81.74</td>
<td align="center" valign="top">83.9</td>
<td align="center" valign="top">82.63</td>
<td align="center" valign="top">80,23</td>
<td align="center" valign="top">77.88</td>
</tr>
<tr>
<td align="left" valign="top">IQR</td>
<td align="center" valign="top">7.41</td>
<td align="center" valign="top">7.73</td>
<td align="center" valign="top">8.24</td>
<td align="center" valign="top">7.75</td>
<td align="center" valign="top">8.82</td>
<td align="center" valign="top">9.82</td>
<td align="center" valign="top">9.38</td>
<td align="center" valign="top">9.52</td>
</tr>
<tr>
<td align="left" valign="top">Min</td>
<td align="center" valign="top">20.9</td>
<td align="center" valign="top">20.9</td>
<td align="center" valign="top">20.9</td>
<td align="center" valign="top">20.9</td>
<td align="center" valign="top">19.2</td>
<td align="center" valign="top">20.7</td>
<td align="center" valign="top">20.6</td>
<td align="center" valign="top">18.6</td>
</tr>
<tr>
<td align="left" valign="top">Max</td>
<td align="center" valign="top">83.8</td>
<td align="center" valign="top">90.1</td>
<td align="center" valign="top">85&#x2013;7</td>
<td align="center" valign="top">84.7</td>
<td align="center" valign="top">87.7</td>
<td align="center" valign="top">95.3</td>
<td align="center" valign="top">83.1</td>
<td align="center" valign="top">83.0</td>
</tr>
<tr>
<td align="left" valign="top">Range</td>
<td align="center" valign="top">62.2</td>
<td align="center" valign="top">69.2</td>
<td align="center" valign="top">64.9</td>
<td align="center" valign="top">63.9</td>
<td align="center" valign="top">68.5</td>
<td align="center" valign="top">65.2</td>
<td align="center" valign="top">62.5</td>
<td align="center" valign="top">64.3</td>
</tr>
</tbody>
</table>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>Instruments</th>
<th align="center" valign="top">Flute clarinet</th>
<th align="center" valign="top">Bassoon</th>
<th align="center" valign="top">French horn</th>
<th align="center" valign="top">Trumpet</th>
<th align="center" valign="top">Trombone</th>
<th align="center" valign="top">Tuba</th>
<th align="center" valign="top">Timpani</th>
<th align="center" valign="top">Percussion</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Mean</td>
<td align="center" valign="top">79.6</td>
<td align="center" valign="top">81.1</td>
<td align="center" valign="top">81.0</td>
<td align="center" valign="top">79.0</td>
<td align="center" valign="top">77.7</td>
<td align="center" valign="top">75.2</td>
<td align="center" valign="top">77.3</td>
<td align="center" valign="top">73.9</td>
</tr>
<tr>
<td align="left" valign="top">Median</td>
<td align="center" valign="top">81.3</td>
<td align="center" valign="top">82.3</td>
<td align="center" valign="top">83.0</td>
<td align="center" valign="top">80.5</td>
<td align="center" valign="top">79.0</td>
<td align="center" valign="top">76.4</td>
<td align="center" valign="top">78.5</td>
<td align="center" valign="top">75.1</td>
</tr>
<tr>
<td align="left" valign="top">q1 (25%)</td>
<td align="center" valign="top">75.02</td>
<td align="center" valign="top">75.28</td>
<td align="center" valign="top">76.94</td>
<td align="center" valign="top">73.47</td>
<td align="center" valign="top">71.25</td>
<td align="center" valign="top">69.53</td>
<td align="center" valign="top">72.03</td>
<td align="center" valign="top">68.87</td>
</tr>
<tr>
<td align="left" valign="top">q3 (75%)</td>
<td align="center" valign="top">86.09</td>
<td align="center" valign="top">88.73</td>
<td align="center" valign="top">87.62</td>
<td align="center" valign="top">86.61</td>
<td align="center" valign="top">85.58</td>
<td align="center" valign="top">82.0</td>
<td align="center" valign="top">83.52</td>
<td align="center" valign="top">80.19</td>
</tr>
<tr>
<td align="left" valign="top">IQR</td>
<td align="center" valign="top">11.07</td>
<td align="center" valign="top">13.45</td>
<td align="center" valign="top">10.68</td>
<td align="center" valign="top">13.14</td>
<td align="center" valign="top">14.33</td>
<td align="center" valign="top">12.47</td>
<td align="center" valign="top">11.49</td>
<td align="center" valign="top">11.32</td>
</tr>
<tr>
<td align="left" valign="top">Min</td>
<td align="center" valign="top">23.3</td>
<td align="center" valign="top">26.8</td>
<td align="center" valign="top">28.1</td>
<td align="center" valign="top">24.2</td>
<td align="center" valign="top">26.2</td>
<td align="center" valign="top">26.2</td>
<td align="center" valign="top">26.7</td>
<td align="center" valign="top">26.8</td>
</tr>
<tr>
<td align="left" valign="top">Max</td>
<td align="center" valign="top">90.1</td>
<td align="center" valign="top">94.5</td>
<td align="center" valign="top">93.1</td>
<td align="center" valign="top">91.1</td>
<td align="center" valign="top">91.4</td>
<td align="center" valign="top">87.1</td>
<td align="center" valign="top">95.5</td>
<td align="center" valign="top">88.4</td>
</tr>
<tr>
<td align="left" valign="top">Range</td>
<td align="center" valign="top">66.8</td>
<td align="center" valign="top">67.7</td>
<td align="center" valign="top">65.1</td>
<td align="center" valign="top">66.9</td>
<td align="center" valign="top">65.3</td>
<td align="center" valign="top">60.9</td>
<td align="center" valign="top">68.9</td>
<td align="center" valign="top">61.6</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>As shown in <xref ref-type="fig" rid="fig3">Figure 3</xref>, the spatial distribution of sound pressure levels within the orchestra is visualized online<xref ref-type="fn" rid="fn0001"><sup>1</sup></xref> as an interactive heatmap based on the recordings of the 16 calibrated microphone positions. Color gradients represent the sound pressure level measured at each musician&#x2019;s ear, ranging from 37 to more than 100 dB<sub>SPL</sub>, with the highest exposures observed among brass and percussion players. The visualization highlights the acoustic heterogeneity across orchestral sections and enables users to listen from each instrument&#x2019;s perspective, comparing perceived timbre and intensity across positions. Furthermore, a virtual rehearsal tour created with 3DVista Virtual Tours integrates audio samples and navigable viewpoints, offering an additional educational resource on orchestral acoustics<xref ref-type="fn" rid="fn0002"><sup>2</sup></xref>.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Screenshot of an interactive sound pressure level heatmap of a symphony orchestra at: <ext-link xlink:href="https://muwiserver.univie.ac.at/tfoyo/" ext-link-type="uri">https://muwiserver.univie.ac.at/tfoyo/</ext-link>. Colors ranging from green (35&#x202F;dB) to violet (over 100&#x202F;dB) indicate the sound level of the individual instrument groups. By clicking on the instrument groups, you can acoustically place yourself in the position of the respective orchestra musician during the piece [the Norwegian National Youth Orchestra (NUSO) together with the Landesjugendorchester Hamburg (LJO) plays Ingebj&#x00F8;rg Vilhelmsen&#x2019;s orchestral piece, &#x201C;Festivity&#x201D;] (<xref ref-type="bibr" rid="ref65">Vilhelmsen, 2023</xref>).</p>
</caption>
<graphic xlink:href="fpsyg-17-1742780-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Infographic superimposed on an orchestra seating chart shows sound pressure levels in decibels for each orchestra section, with values ranging from 88.8 dB at double bass to 99.5 dB at timpani and snare. Individual mean and maximum dB levels for each instrument group are displayed, illustrating relative exposure musicians experience during a performance.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec24">
<label>4.2</label>
<title>Audiometric screening</title>
<p>Audiometric screening (125&#x2013;8,000&#x202F;Hz) revealed that most tested musicians exhibited hearing thresholds within normal limits. However, early high-frequency threshold shifts (&#x003E;20 dB<sub>HL</sub> above 4&#x202F;kHz) were observed in several brass players, particularly trumpets, horns, and trombones. In some cases, these shifts were asymmetric between ears, consistent with the directional exposure pattern of the brass instruments.</p>
<p>Group-level observations:</p>
<list list-type="bullet">
<list-item>
<p>Strings (<italic>n</italic>&#x202F;=&#x202F;50): Largely normal hearing thresholds, with occasional mild hearing loss at 6 and 8&#x202F;kHz.</p>
</list-item>
<list-item>
<p>Woodwinds (<italic>n</italic>&#x202F;=&#x202F;11): Predominantly normal audiograms, with isolated mild high-frequency notches (e.g., clarinet, oboe).</p>
</list-item>
<list-item>
<p>Brass (<italic>n</italic>&#x202F;=&#x202F;16): Higher prevalence of early high-frequency threshold shifts, in some cases asymmetric.</p>
</list-item>
<list-item>
<p>Percussion (<italic>n</italic>&#x202F;=&#x202F;1): No measurable deficits; thresholds were exceptionally good, likely due to consistent use of customized hearing protection.</p>
</list-item>
</list>
<p>Overall, most young musicians in this cohort still showed healthy auditory profiles, yet the earliest signs of high-frequency hearing decline were already evident in high-exposure groups. These findings underscore the importance of early preventive education and action.</p>
<p>As shown in <xref ref-type="fig" rid="fig4">Figure 4</xref>, audiometric results of the youth orchestra musicians demonstrate that most hearing thresholds fall within the normal range (light green area). However, early high-frequency threshold shifts are visible in several brass players, particularly trumpets, horns, and trombones, indicating initial signs of exposure-related hearing loss. The interactive online audiogram tool<xref ref-type="fn" rid="fn0003"><sup>3</sup></xref> allows users to explore hearing thresholds for each instrument group and compare left- and right-ear measurements across the orchestra.</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Screenshot of interactive audiometric profiles of 77 young orchestral musicians at: <ext-link xlink:href="https://muwiserver.univie.ac.at/tfoyo/audiometrie" ext-link-type="uri">https://muwiserver.univie.ac.at/tfoyo/audiometrie</ext-link>, selectable via mouseover. The graphs show representative audiograms from a trumpet player, illustrating individual left and right ear thresholds compared to the normative healthy hearing range (light green area).</p>
</caption>
<graphic xlink:href="fpsyg-17-1742780-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Two line charts display hearing thresholds in decibels for a trumpet player born in two thousand five, comparing the left and right ears across frequencies from one hundred twenty-five to eight thousand hertz against a shaded region indicating normal healthy hearing. Both charts show elevated thresholds at higher frequencies. Below, an illustration shows a semicircular orchestral seating chart with icons representing different instrument sections, including piano, strings, brass, woodwinds, and percussion.</alt-text>
</graphic>
</fig>
<p>To address these risks, all participants received a &#x201C;Hearing Basics&#x201D; fact sheet (<xref ref-type="bibr" rid="ref11">Bertsch et al., 2024</xref>) and joined an educational session on acoustic safety, including a Kahoot<sup>&#x00AE;</sup> quiz attended by nearly 100 musicians. Qualitative feedback indicated that the session increased awareness and motivation to use hearing protection more consistently.</p>
</sec>
<sec id="sec25">
<label>4.3</label>
<title>Physiological stress monitoring</title>
<sec id="sec26">
<label>4.3.1</label>
<title>Group-level patterns</title>
<p>We monitored 15 musicians with EmbracePlus smartwatches across rehearsal and concert days, recording electrodermal activity (EDA), pulse rate, wrist temperature, accelerometry, activity counts, and steps, as well as respiration and heart-rate variability (HRV; both derived from blood-volume pulse, BVP) during resting phases only. All signals were processed offline and synchronized second-by-second with annotated scores and time-coded video recordings to enable context-aware, event-related interpretation (<xref ref-type="bibr" rid="ref8">Bertsch, 2024</xref>).</p>
<p>On the concert day in Hamburg, the main rehearsal took place at a school (09:45&#x2013;13:00). As shown in <xref ref-type="fig" rid="fig5">Figure 5</xref>, the group-median heart rate exceeded 105&#x202F;bpm during morning travel and arrival, before gradually settling during the rehearsal period. Around 14:40, upon arrival at the Elbphilharmonie and first exposure to the concert hall environment and stage view, the median group level rose again to approximately 115&#x202F;bpm, consistent with anticipatory activation. At 16:02, during the brief on-stage warm-up and mental focusing phase that opened the dress rehearsal on the main stage (16:02&#x2013;16:12), the median declined to approximately 95&#x202F;bpm and remained comparatively stable. Heart-rate values increased again during hall entry and concert onset with Prokofiev. The values declined during the extended opening speech, and rose throughout the subsequent program, with pronounced elevations during Ligeti and Respighi. The highest group-median levels of the day were observed during the final applause and post-concert social interaction, consistent with heightened positive arousal. These patterns are descriptive and observational, indicating temporal associations with situational and musical events rather than causal effects; individual trajectories varied around the group median.</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Median heart-rate trajectory on the concert day (Elbphilharmonie, October 5, 2024; <italic>N</italic>&#x202F;=&#x202F;15). The time-aligned group-median pulse illustrates elevated values during morning travel and arrival (&#x003E;110&#x202F;bpm), a reduction during the orchestra warm-up (~95&#x202F;bpm), and renewed elevations upon entering the hall and at concert onset. A transient decrease is visible during the opening speech, followed by increases during Ligeti and Respighi. The highest median values occur during applause and post-concert social interaction. Vertical markers denote rehearsal, dress rehearsal (warm-up ~16:00), and concert segments.</p>
</caption>
<graphic xlink:href="fpsyg-17-1742780-g005.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Line chart shows median heart rate from 07:00 to 23:00 for fifteen musicians on October 5, 2024, at Elbphilharmonie. Heart rate rises during main rehearsal, dress rehearsal, and peaks at concert segments labeled Prokofiev, Ligeti, and Respighi. Activity phases such as wake up, walking, sitting, playing, eating, and dancing are marked along the bottom. Durations for each segment and performance piece are noted on the left.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec27">
<label>4.3.2</label>
<title>Participant-reported experiences during wearable stress monitoring</title>
<p>Self-reports collected alongside the wearable recordings indicated high perceived realism of the monitoring procedure and helped identify situation-specific stressors and modulators of arousal. Several participants described anticipatory activation before salient musical events or exposed entries (e.g., initial tones in Lontano or offstage trumpet cues in Pini di Roma), whereas others emphasized logistical or contextual stressors, such as delayed meals, transport pressure, or performing from elevated positions, which coincided with physiological arousal outside strictly musical peaks.</p>
<p>Instrument-specific demands further shaped perceived load profiles. Upper string players frequently referred to fast Presto passages and high counting demands in Lontano; low strings and violas reported sustained-tone fatigue and back or arm strain; brass players highlighted embouchure fatigue and concerns regarding accuracy in the high register. Many participants reported only mild nervousness during rehearsals but markedly increased tension immediately before concert onset, followed by a rapid reduction in arousal after initial entries. A subset of participants wore the device on the bowing (right) hand, which plausibly accounts for movement-related artefacts during vigorous passages, as noted in the data-quality assessment. Despite this, these participants generally perceived the recordings as reflective of their subjective effort and arousal.</p>
<p>Taken together, these contextualized self-reports align with the event-locked physiological patterns observed during both concert performance and virtual reality exposure sessions, supporting the interpretability of the time-synchronized wearable data and illustrating how musical structure, performance context, and logistical factors may jointly contribute to sympathetic activation (anonymized participant interviews, TFOYO study, July 2024, unpublished data).</p>
</sec>
<sec id="sec28">
<label>4.3.3</label>
<title>Individual trajectories</title>
<p>Minute-by-minute data for an individual example (ID 214) illustrate day-long co-variation of electrodermal activity (EDA), pulse rate, wrist temperature, and movement (see <xref ref-type="fig" rid="fig6">Figure 6</xref>). Because respiration rate and heart-rate variability (HRV) are derived from blood-volume pulse (BVP), these variables are largely unavailable during periods of movement but remain informative during resting phases (e.g., sleep duration and nocturnal recovery). For ID 214, pronounced elevations in EDA and pulse occurred prior to the first rehearsal at the Elbphilharmonie, at concert onset and conclusion, and during post-concert social activities. Interpretation of such elevations requires synchronized activity logs and contextual self-reports to differentiate between physical exertion and emotional or cognitive arousal.</p>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p>Minute-aggregated smartwatch data for participant ID 214 across the concert day. Stacked panels display electrodermal activity (EDA), pulse rate, wrist temperature, accelerometry, activity counts, step counts, respiration rate, heart-rate variability (HRV), and metabolic equivalents (MET; for abbreviations see Section 3.4). Pronounced elevations in EDA and pulse are visible before the first Elbphilharmonie rehearsal, at concert onset and conclusion, and during post-concert social activity. Respiration rate and HRV (derived from blood-volume pulse) are available primarily during resting periods, whereas movement results in missing values. Note: EDA&#x202F;=&#x202F;electrodermal activity; HRV&#x202F;=&#x202F;heart-rate variability (RMSSD derived from blood-volume pulse); MET&#x202F;=&#x202F;metabolic equivalents; accelerometry reflects tri-axial wrist movement. Data are shown as minute-wise aggregates. Date refers to October 5, 2024 (concert day at the Elbphilharmonie).</p>
</caption>
<graphic xlink:href="fpsyg-17-1742780-g006.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Multiline scientific chart displays EmbracePlus Monitoring Data for user ID 214 across October 5, 2024, with separate time-series plots of EDA, pulse, temperature, accelerometers, activity, steps, respiration rate, HRV, and MET, illustrating physiological metrics fluctuating over a twenty-four-hour period.</alt-text>
</graphic>
</fig>
<p>A case analysis of violinist VL1627 further illustrates the relationship between physiological markers and subjective experience (see <xref ref-type="fig" rid="fig7">Figure 7</xref>). Raw, time-aligned recordings showed a marked increase in tonic EDA accompanied by a concurrent decrease in wrist temperature at stage entry, consistent with strong anticipatory activation. Physiological recovery was observed only toward the end of Prokofiev&#x2019;s Montagues and Capulets. A subsequent EDA elevation, together with concomitant changes in pulse rate and wrist temperature, coincided with the participant-reported &#x201C;shock moment&#x201D; (forgetting to count repetitions) at the conclusion of the Prokofiev movement. Following the lengthy spoken address, EDA rose again at the beginning of the second half of the concert. Wrist temperature showed a pronounced decline prior to concert onset, which the participant attributed to cold hands, while pulse rate reached its highest levels immediately before the concert and during the final applause.</p>
<fig position="float" id="fig7">
<label>Figure 7</label>
<caption>
<p>Raw, time-aligned physiological traces of violinist VL1627 during the concert performance of <italic>Sergei Prokofiev: Romeo and Juliet, Suites Nos. 1 &#x0026; 2 (excerpts)</italic> and <italic>Ottorino Respighi: Pini di Roma</italic> at the Elbphilharmonie (Hamburg, October 5, 2024). Left panel: tonic EDA with dashed lines marking the boundaries between <italic>Prokofiev</italic> and <italic>Respighi</italic>. Right panel: pulse rate (top) and wrist temperature (bottom). An increase in EDA accompanied by a decrease in wrist temperature is observed at stage entry; physiological recovery follows toward the end of <italic>Prokofiev</italic>. A second EDA elevation coincides with the participant-reported &#x201C;shock moment&#x201D; at the end of <italic>Prokofiev</italic>. Wrist temperature decreases prior to concert onset, while pulse rate reaches its highest levels before the concert and during the final applause.</p>
</caption>
<graphic xlink:href="fpsyg-17-1742780-g007.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Three line charts display electrodermal activity, pulse, and temperature data over time, with vertical markers indicating the intervals for Prokofiev and Respighi. Black ovals highlight notable spikes or drops in each data set.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec29">
<label>4.3.4</label>
<title>Data scale, quality, and ecological insights</title>
<p>Each device produced more than 22 million raw samples per day, enabling fine-grained temporal resolution but also increasing susceptibility to motion-related artefacts, particularly when watches were loosely fitted, insufficiently charged, or worn by musicians with highly active arms. Cross-checking physiological signals with tri-axial accelerometry supported artefact identification and the retention of high-quality data segments for visualization and interpretation. Importantly, pronounced physiological elevations were not confined to musically demanding passages: post-concert increases aligned with applause, social interaction, and celebratory activities, underscoring the ecological validity of the recordings. All raw signals were processed offline using custom R scripts; no real-time feedback was provided to participants. In addition, a composite teaching and analysis video synchronizes physiological data from all 15 participants with two camera perspectives and the annotated score, updating a rolling 30-s EDA window at one-second resolution (see video screenshot in <xref ref-type="fig" rid="fig8">Figure 8</xref>). The underlying second-by-second animated visualization, displaying the complete dataset across the entire concert, is publicly accessible via the TFOYO.EU project website.</p>
<fig position="float" id="fig8">
<label>Figure 8</label>
<caption>
<p>Time-synchronized multimodal visualization (15 musicians; strings and brass) during the concert performance of <italic>Sergei Prokofiev: Romeo and Juliet, Suites Nos. 1 &#x0026; 2 (excerpts)</italic>, <italic>Gy&#x00F6;rgy Ligeti: Lontano</italic>, and <italic>Ottorino Respighi: Pini di Roma</italic> at the Elbphilharmonie. Composite display linking dual video perspectives and the annotated score with per-player physiological signals (heart rate, EDA, wrist temperature) and rolling 30-s EDA windows. Instrument icons and anonymized player IDs indicate section membership (six first violins, three second violins, one viola, two trumpets, one horn, two trombones). The highlighted timestamp illustrates a <italic>Respighi</italic> segment (20:37:30&#x2013;20:57:13) and demonstrates second-by-second alignment across modalities.</p>
</caption>
<graphic xlink:href="fpsyg-17-1742780-g008.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Collage showing an orchestra performance with time-synchronized biometric data visualizations. Top section displays photos of a live orchestra and event details for a concert at Elbphilharmonie, Hamburg, on October 5, 2024. Middle section presents bar charts of musicians' heart rates and skin temperatures, each coded by instrument. Bottom section shows individual biometric traces for musicians, paired visually with illustrations of the corresponding instruments. Text highlights the use of wearable technology for data collection and specifies concert timing and duration.</alt-text>
</graphic>
</fig>
<p>Together, these findings demonstrate the feasibility of time-synchronized wearable stress monitoring in complex live performance environments and provide a reference framework for interpreting physiological responses observed in more controlled exposure settings, such as virtual reality.</p>
</sec>
</sec>
<sec id="sec30">
<label>4.4</label>
<title>Psychological health: virtual reality exposure training (VRET)</title>
<sec id="sec31">
<label>4.4.1</label>
<title>Usability and uptake</title>
<p>Participants reported high perceived realism of the virtual performance environment, and many showed an immediate, spontaneous affective response upon first exposure, indicating a strong sense of presence and experiential salience. Initial willingness to try VRET exceeded 90%, indicating a high degree of uptake and acceptance of the format. Within the camp&#x2019;s tightly scheduled rehearsal context, repeat sessions occurred less frequently, mainly due to limitations imposed by the sequential setup, while participant interest remained high. Notably, despite these time constraints, more than half of the participating musicians chose to engage in the training on multiple occasions and provided predominantly positive feedback regarding its perceived relevance and usefulness.</p>
</sec>
<sec id="sec32">
<label>4.4.2</label>
<title>Physiological stress responses</title>
<p>Across sessions, VR scenarios elicited psychophysiological activation patterns that were comparable in form to those observed during live performance contexts. Episodes of increased arousal were typically characterized by:</p>
<list list-type="bullet">
<list-item>
<p>Electrodermal activity (EDA): transient elevations at solo entries or following performance errors.</p>
</list-item>
<list-item>
<p>Wrist skin temperature: short-term decreases of up to approximately 2&#x202F;&#x00B0;C, consistent with sympathetic activation.</p>
</list-item>
<list-item>
<p>Pulse rate: accelerations or brief decelerations temporally aligned with demanding moments.</p>
</list-item>
</list>
<p>A representative example is shown in <xref ref-type="fig" rid="fig9">Figure 9</xref>. While observing colleague TB3314 performing a Big Band improvisation, participant TB2117 exhibited a decrease in wrist temperature, consistent with anticipatory activation. During his own VR performance of a Mendelssohn audition excerpt within the virtual Elbphilharmonie, EDA increased and wrist temperature decreased again after an initial performance error, followed by a gradual return toward baseline. These event-locked patterns mirror physiological responses observed during live concert situations and illustrate the potential of VRET to evoke performance-relevant arousal under controlled conditions.</p>
<fig position="float" id="fig9">
<label>Figure 9</label>
<caption>
<p>Physiological responses of trombonist TB2117 during virtual-reality performance training. Physiological recordings of an 18-year-old trombonist during a virtual-reality performance session. The graph displays wrist temperature (&#x00B0;C, red) and electrodermal activity (EDA, &#x03BC;S, orange). A: While observing colleague TB3314 performing a big band improvisation (18:35), a decrease in wrist temperature was observed, consistent with anticipatory activation. B: During the participant&#x2019;s own VR performance at the Elbphilharmonie (18:44), EDA increased and wrist temperature decreased after the initial onset of the Mendelssohn excerpt following a performance error, with a gradual return toward baseline thereafter.</p>
</caption>
<graphic xlink:href="fpsyg-17-1742780-g009.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">A person wearing a virtual reality headset plays a trombone with an auditorium scene visible on a screen behind them. Beside this, a line graph titled &#x201C;Stress response of trombonist TB2117 during VR training&#x201D; shows wrist temperature in red and electrodermal activity (EDA) in orange over time. The graph includes labeled sections A and B for performance tasks, showing temperature and EDA fluctuations during and after these activities.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec33">
<label>4.4.3</label>
<title>Data quality and limitations</title>
<p>Smartwatch recordings provided valuable physiological correlates of self-reported arousal, but signals were intermittently affected by motion-related artefacts, particularly due to natural arm movements while holding or playing instruments. Nevertheless, the combined consideration of physiological time series, event-related logs, and contextual self-reports allowed for plausible, time-aligned illustrations of sympathetic activation during virtual reality exposure. These observations should be interpreted descriptively and highlight both the potential and the current technical limitations of wearable monitoring in performance settings.</p>
</sec>
<sec id="sec34">
<label>4.4.4</label>
<title>Subjective benefits</title>
<p>Participants reported that VR training increased familiarity with performance environments, supported anticipation of individually relevant stress triggers, and facilitated reflection on coping strategies for stage fright. The immersive simulations were commonly described as educational and emotionally engaging. While these subjective impressions do not constitute evidence of efficacy, they indicate perceived relevance and acceptability of VRET as a scalable tool for exploratory research and preventive approaches in musician health and resilience training.</p>
</sec>
</sec>
<sec id="sec35">
<label>4.5</label>
<title>Physical health and behavior: practical interventions</title>
<p>The BodyFit and Mental Training workshops were conducted as afternoon group sessions, held after or alongside the intensive rehearsal schedule. Participant motivation was high, with full attendance during the initial sessions. Toward the end of the demanding rehearsal period, attendance declined somewhat, primarily due to time constraints and performance-related stress.</p>
<sec id="sec36">
<label>4.5.1</label>
<title>BodyFit workshops</title>
<p>Participants reported immediate improvements in posture awareness, reduction of muscle tension, and enhanced mobility, particularly in high-strain regions such as the shoulders, neck, and lower back. Instructors observed that simple, dynamic mobility and compensation exercises were well received and easily transferable to daily practice. More static posture-correction drills, although effective, were perceived as less engaging. Several participants expressed that they had previously not considered ergonomics in relation to their playing comfort, highlighting the value of introducing these concepts within orchestral settings.</p>
</sec>
<sec id="sec37">
<label>4.5.2</label>
<title>Mental training workshops</title>
<p>Breathing techniques, guided imagery, and short relaxation exercises were readily adopted by participants, who frequently performed them spontaneously before rehearsals and concerts. Coaches observed that these practices enhanced focus, self-confidence, and anxiety regulation. Importantly, offering mental training in a group setting helped normalize psychological preparation, thereby reducing stigma and encouraging open discussion of performance anxiety among peers.</p>
</sec>
<sec id="sec38">
<label>4.5.3</label>
<title>Instructor feedback and subgroup differences</title>
<p>Both instructors emphasized the curiosity and openness of participants toward unfamiliar physical and psychological strategies. The BodyFit coach stressed the importance of early posture and ergonomics training, while the Mental Training coach highlighted the normalization of anxiety-prevention strategies. Cultural and educational subgroup differences were noted: German participants were typically older, often university students, and 25% aspired to professional music careers, whereas Norwegian participants were younger, still in school, and 45.5% indicated professional ambitions. Instructor feedback is reported descriptively and reflects perceived engagement and responses during the sessions; it does not constitute an independent outcome measure.</p>
</sec>
<sec id="sec39">
<label>4.5.4</label>
<title>Overall impact</title>
<p>Both interventions were perceived as highly relevant and practical. They improved short-term physical comfort and psychological readiness, while also laying the foundation for longer-term integration of health-oriented routines into orchestral training.</p>
</sec>
</sec>
<sec id="sec40">
<label>4.6</label>
<title>Survey outcomes</title>
<sec id="sec41">
<label>4.6.1</label>
<title>Sample characteristics</title>
<p>A total of 136 musicians participated in the survey component, of whom 134 completed at least one questionnaire. 58 participants provided both pre- and post-camp data. Ages ranged from 13 to 27&#x202F;years (M&#x202F;=&#x202F;18.3). The gender distribution was approximately balanced, with 40 male, 52 female, and 10 who did not disclose gender. The instrumental distribution included 36 violins, 8 violas, 14 cellos, 9 double basses, 7 trombones, 3 trumpets, 5 French horns, 2 tubas, 4 oboes, 4 clarinets, 3 flutes, 3 bassoons, 2 harps, 2 percussionists, and 1 piano.</p>
<p>On average, participants had played their main instrument for 10.9&#x202F;years, had received 9.8&#x202F;years of individual lessons and 3.4&#x202F;years of group lessons, and reported about 1.2&#x202F;h of daily practice (see <xref ref-type="table" rid="tab4">Table 4</xref>).</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Age of participants per intervention group.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>Age</th>
<th align="center" valign="top">BodyFit</th>
<th align="center" valign="top">Mental training</th>
<th align="center" valign="top">VR</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Valid</td>
<td align="center" valign="top">48</td>
<td align="center" valign="top">44</td>
<td align="center" valign="top">10</td>
</tr>
<tr>
<td align="left" valign="middle">Missing</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">9</td>
<td align="center" valign="middle">2</td>
</tr>
<tr>
<td align="left" valign="middle">Mean</td>
<td align="center" valign="middle">18.25</td>
<td align="center" valign="middle">18.40</td>
<td align="center" valign="middle">17.8</td>
</tr>
<tr>
<td align="left" valign="middle">Std. deviation</td>
<td align="center" valign="middle">3.21</td>
<td align="center" valign="middle">3.03</td>
<td align="center" valign="middle">1.87</td>
</tr>
<tr>
<td align="left" valign="middle">Minimum</td>
<td align="center" valign="middle">14</td>
<td align="center" valign="middle">13</td>
<td align="center" valign="middle">15</td>
</tr>
<tr>
<td align="left" valign="middle">Maximum</td>
<td align="center" valign="middle">27</td>
<td align="center" valign="middle">27</td>
<td align="center" valign="middle">21</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec42">
<label>4.6.2</label>
<title>Hearing health and protection behavior</title>
<p>Most participants reported normal hearing, but several disclosed occasional difficulties, such as problems hearing soft sounds or the presence of tinnitus. Hearing protection behavior varied considerably: use was most frequent in solo practice, less common in orchestra rehearsals, and least frequent in concerts (see <xref ref-type="fig" rid="fig10">Figures 10A</xref>,<xref ref-type="fig" rid="fig10">B</xref>). Only a minority reported consistent use of customized earplugs. Some musicians admitted to using improvised materials such as tissue paper, while others reported no hearing protection at all. These results align with the audiometric screening, where early high-frequency threshold shifts were observed in several brass players. Together, the findings suggest that awareness of auditory risk exists, but consistent protective behavior remains limited.</p>
<fig position="float" id="fig10">
<label>Figure 10</label>
<caption>
<p><bold>(A)</bold> How often do participants use hearing protection while practicing alone. <bold>(B)</bold> How often do participants use hearing protection while practicing with an ensemble.</p>
</caption>
<graphic xlink:href="fpsyg-17-1742780-g010.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Two bar charts labeled A and B compare response frequencies on a scale from "never" to "always." Chart A shows a high frequency for "never" and low frequencies for all other responses. Chart B shows a reduced "never" frequency and higher frequencies for middle values, with all responses still lower than the peak in chart A. Both charts illustrate differences in response distributions.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec43">
<label>4.6.3</label>
<title>Coping with stress</title>
<p>93 participants answered the questionnaire regarding their coping mechanisms with stressful situations (SVF-120), for which we instructed them to particularly think of stressful concert situations. Among the positive coping mechanisms, participants scored highest for reaction control and situation control, as well as positive self-instruction, distraction, and need for social support. The highest scoring negative coping mechanisms were rumination, avoidance, and self-accusation. Compared to the SVF&#x2019;s norm sample, our participants&#x2019; mean values were not noticeably above or below average (see <xref ref-type="table" rid="tab5">Table 5</xref>).</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Mean responses over all participants regarding stress coping mechanisms (SVF-120).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top"><italic>N</italic>&#x202F;=&#x202F;93</th>
<th align="center" valign="top">Mean</th>
<th align="center" valign="top">95% CI mean upper</th>
<th align="center" valign="top">95% CI mean lower</th>
<th align="center" valign="top">SD</th>
<th align="center" valign="top">Minimum</th>
<th align="center" valign="top">Maximum</th>
<th align="center" valign="top">T-values acc. to norm sample&#x002A;</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom" colspan="8">Positive (healthy) stress coping mechanisms</td>
</tr>
<tr>
<td align="left" valign="bottom">Overall positive coping</td>
<td align="char" valign="bottom" char=".">12.731</td>
<td align="char" valign="bottom" char=".">13.157</td>
<td align="char" valign="bottom" char=".">12.305</td>
<td align="char" valign="bottom" char=".">2.069</td>
<td align="char" valign="bottom" char=".">7.000</td>
<td align="char" valign="bottom" char=".">17.400</td>
<td align="center" valign="bottom">51</td>
</tr>
<tr>
<td align="left" valign="bottom">Trivializing</td>
<td align="char" valign="bottom" char=".">11.161</td>
<td align="char" valign="bottom" char=".">11.836</td>
<td align="char" valign="bottom" char=".">10.487</td>
<td align="char" valign="bottom" char=".">3.275</td>
<td align="char" valign="bottom" char=".">3.000</td>
<td align="char" valign="bottom" char=".">18.000</td>
<td align="center" valign="top">47</td>
</tr>
<tr>
<td align="left" valign="bottom">Downplaying</td>
<td align="char" valign="bottom" char=".">11.333</td>
<td align="char" valign="bottom" char=".">12.303</td>
<td align="char" valign="bottom" char=".">10.363</td>
<td align="char" valign="bottom" char=".">4.710</td>
<td align="char" valign="bottom" char=".">3.000</td>
<td align="char" valign="bottom" char=".">21.000</td>
<td align="center" valign="top">53</td>
</tr>
<tr>
<td align="left" valign="bottom">Avoiding liability</td>
<td align="char" valign="bottom" char=".">10.978</td>
<td align="char" valign="bottom" char=".">11.753</td>
<td align="char" valign="bottom" char=".">10.204</td>
<td align="char" valign="bottom" char=".">3.762</td>
<td align="char" valign="bottom" char=".">3.000</td>
<td align="char" valign="bottom" char=".">21.000</td>
<td align="center" valign="top">52</td>
</tr>
<tr>
<td align="left" valign="bottom">Distraction</td>
<td align="char" valign="bottom" char=".">13.452</td>
<td align="char" valign="bottom" char=".">14.255</td>
<td align="char" valign="bottom" char=".">12.648</td>
<td align="char" valign="bottom" char=".">3.902</td>
<td align="char" valign="bottom" char=".">3.000</td>
<td align="char" valign="bottom" char=".">21.000</td>
<td align="center" valign="top">52</td>
</tr>
<tr>
<td align="left" valign="bottom">Substitute gratification</td>
<td align="char" valign="bottom" char=".">12.688</td>
<td align="char" valign="bottom" char=".">13.479</td>
<td align="char" valign="bottom" char=".">11.897</td>
<td align="char" valign="bottom" char=".">3.842</td>
<td align="char" valign="bottom" char=".">3.000</td>
<td align="char" valign="bottom" char=".">21.000</td>
<td align="center" valign="bottom">56</td>
</tr>
<tr>
<td align="left" valign="bottom">Self-affirmation</td>
<td align="char" valign="bottom" char=".">11.710</td>
<td align="char" valign="bottom" char=".">12.488</td>
<td align="char" valign="bottom" char=".">10.932</td>
<td align="char" valign="bottom" char=".">3.778</td>
<td align="char" valign="bottom" char=".">3.000</td>
<td align="char" valign="bottom" char=".">21.000</td>
<td align="center" valign="top">51</td>
</tr>
<tr>
<td align="left" valign="bottom">Relaxation</td>
<td align="char" valign="bottom" char=".">11.677</td>
<td align="char" valign="bottom" char=".">12.601</td>
<td align="char" valign="bottom" char=".">10.754</td>
<td align="char" valign="bottom" char=".">4.485</td>
<td align="char" valign="bottom" char=".">3.000</td>
<td align="char" valign="bottom" char=".">21.000</td>
<td align="center" valign="top">50</td>
</tr>
<tr>
<td align="left" valign="bottom">Situation control</td>
<td align="char" valign="bottom" char=".">14.323</td>
<td align="char" valign="bottom" char=".">15.152</td>
<td align="char" valign="bottom" char=".">13.493</td>
<td align="char" valign="bottom" char=".">4.028</td>
<td align="char" valign="bottom" char=".">3.000</td>
<td align="char" valign="bottom" char=".">21.000</td>
<td align="center" valign="top">45</td>
</tr>
<tr>
<td align="left" valign="bottom">Reaction control</td>
<td align="char" valign="bottom" char=".">15.269</td>
<td align="char" valign="bottom" char=".">15.832</td>
<td align="char" valign="bottom" char=".">14.706</td>
<td align="char" valign="bottom" char=".">2.735</td>
<td align="char" valign="bottom" char=".">8.000</td>
<td align="char" valign="bottom" char=".">21.000</td>
<td align="center" valign="top">50</td>
</tr>
<tr>
<td align="left" valign="bottom">Positive self-instructing</td>
<td align="char" valign="bottom" char=".">14.720</td>
<td align="char" valign="bottom" char=".">15.469</td>
<td align="char" valign="bottom" char=".">13.971</td>
<td align="char" valign="bottom" char=".">3.637</td>
<td align="char" valign="bottom" char=".">5.000</td>
<td align="char" valign="bottom" char=".">21.000</td>
<td align="center" valign="bottom">46</td>
</tr>
<tr>
<td align="left" valign="bottom">Need for social support</td>
<td align="char" valign="bottom" char=".">13.817</td>
<td align="char" valign="bottom" char=".">14.823</td>
<td align="char" valign="bottom" char=".">12.811</td>
<td align="char" valign="bottom" char=".">4.883</td>
<td align="char" valign="bottom" char=".">3.000</td>
<td align="char" valign="bottom" char=".">21.000</td>
<td align="center" valign="bottom">52</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="8">Negative (unhealthy) stress coping mechanisms</td>
</tr>
<tr>
<td align="left" valign="bottom">Overall negative coping</td>
<td align="char" valign="bottom" char=".">11.403</td>
<td align="char" valign="bottom" char=".">11.993</td>
<td align="char" valign="bottom" char=".">10.813</td>
<td align="char" valign="bottom" char=".">2.865</td>
<td align="char" valign="bottom" char=".">4.670</td>
<td align="char" valign="bottom" char=".">18.670</td>
<td align="center" valign="bottom">54</td>
</tr>
<tr>
<td align="left" valign="bottom">Avoidance</td>
<td align="char" valign="bottom" char=".">13.097</td>
<td align="char" valign="bottom" char=".">13.902</td>
<td align="char" valign="bottom" char=".">12.291</td>
<td align="char" valign="bottom" char=".">3.912</td>
<td align="char" valign="bottom" char=".">4.000</td>
<td align="char" valign="bottom" char=".">21.000</td>
<td align="center" valign="top">52</td>
</tr>
<tr>
<td align="left" valign="bottom">Flight</td>
<td align="char" valign="bottom" char=".">10.290</td>
<td align="char" valign="bottom" char=".">11.202</td>
<td align="char" valign="bottom" char=".">9.379</td>
<td align="char" valign="bottom" char=".">4.425</td>
<td align="char" valign="bottom" char=".">3.000</td>
<td align="char" valign="bottom" char=".">21.000</td>
<td align="center" valign="top">54</td>
</tr>
<tr>
<td align="left" valign="bottom">Social isolation</td>
<td align="char" valign="bottom" char=".">10.559</td>
<td align="char" valign="bottom" char=".">11.401</td>
<td align="char" valign="bottom" char=".">9.717</td>
<td align="char" valign="bottom" char=".">4.087</td>
<td align="char" valign="bottom" char=".">3.000</td>
<td align="char" valign="bottom" char=".">20.000</td>
<td align="center" valign="top">56</td>
</tr>
<tr>
<td align="left" valign="bottom">Rumination</td>
<td align="char" valign="bottom" char=".">14.710</td>
<td align="char" valign="bottom" char=".">15.567</td>
<td align="char" valign="bottom" char=".">13.852</td>
<td align="char" valign="bottom" char=".">4.164</td>
<td align="char" valign="bottom" char=".">3.000</td>
<td align="char" valign="bottom" char=".">21.000</td>
<td align="center" valign="top">50</td>
</tr>
<tr>
<td align="left" valign="bottom">Resignation</td>
<td align="char" valign="bottom" char=".">9.957</td>
<td align="char" valign="bottom" char=".">10.733</td>
<td align="char" valign="bottom" char=".">9.180</td>
<td align="char" valign="bottom" char=".">3.770</td>
<td align="char" valign="bottom" char=".">3.000</td>
<td align="char" valign="bottom" char=".">21.000</td>
<td align="center" valign="top">54</td>
</tr>
<tr>
<td align="left" valign="bottom">Self-pity</td>
<td align="char" valign="bottom" char=".">10.376</td>
<td align="char" valign="bottom" char=".">11.138</td>
<td align="char" valign="bottom" char=".">9.614</td>
<td align="char" valign="bottom" char=".">3.701</td>
<td align="char" valign="bottom" char=".">3.000</td>
<td align="char" valign="bottom" char=".">19.000</td>
<td align="center" valign="top">52</td>
</tr>
<tr>
<td align="left" valign="bottom">Self-accusation</td>
<td align="char" valign="bottom" char=".">12.527</td>
<td align="char" valign="bottom" char=".">13.325</td>
<td align="char" valign="bottom" char=".">11.729</td>
<td align="char" valign="bottom" char=".">3.875</td>
<td align="char" valign="bottom" char=".">3.000</td>
<td align="char" valign="bottom" char=".">21.000</td>
<td align="center" valign="top">53</td>
</tr>
<tr>
<td align="left" valign="bottom">Aggression</td>
<td align="char" valign="bottom" char=".">10.075</td>
<td align="char" valign="bottom" char=".">11.001</td>
<td align="char" valign="bottom" char=".">9.149</td>
<td align="char" valign="bottom" char=".">4.497</td>
<td align="char" valign="bottom" char=".">3.000</td>
<td align="char" valign="bottom" char=".">21.000</td>
<td align="center" valign="top">52</td>
</tr>
<tr>
<td align="left" valign="bottom">Drugs</td>
<td align="char" valign="bottom" char=".">4.258</td>
<td align="char" valign="bottom" char=".">4.786</td>
<td align="char" valign="bottom" char=".">3.730</td>
<td align="char" valign="bottom" char=".">2.562</td>
<td align="char" valign="bottom" char=".">3.000</td>
<td align="char" valign="bottom" char=".">18.000</td>
<td align="center" valign="top">55</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>&#x002A; T-values in relation to the norm sample according to <xref ref-type="bibr" rid="ref24">Erdmann and Janke (2008)</xref>; T-values between 40 and 60 are considered to be average.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec44">
<label>4.6.4</label>
<title>Pain and physical health</title>
<p>Participants were asked to rate their current level of pain on a scale from 1&#x2013;10 regarding 20 different body parts. The pain score is the sum of overall pain reports and thus averaged around 56.37 (<italic>N</italic>&#x202F;=&#x202F;99, SD&#x202F;=&#x202F;23.9). Also, participants were asked to report when the pain mostly occurred and how they would cope with it.</p>
<p>Pain was widespread among participants. Across the sample, 8% reported pain &#x201C;always&#x201D; while playing, 31% &#x201C;most of the time,&#x201D; 57% &#x201C;rarely,&#x201D; and only 4% &#x201C;never.&#x201D; In another subsample of 108, 25% reported &#x201C;always&#x201D; being in pain, 18% &#x201C;mostly,&#x201D; 19% &#x201C;rarely,&#x201D; and 22% &#x201C;never.&#x201D; Pain was most often localized in the neck, shoulders, upper and lower back, and to a lesser extent in the hands and arms; fewer participants reported pain in the legs, feet, jaw, or abdomen. Despite this high prevalence, 32% admitted to practicing even when they knew it would worsen their pain. Almost all (97%) reported no use of medication for pain; among the few who did, typical anti-inflammatory creams or ibuprofen were mentioned.</p>
<p>When asked whom they spoke to about their pain, 25% reported telling their mother, 22% told their music teacher, 19% told their friends, and 18% reported to having told their father, whilst 12% of the participants told nobody about their pain. Of the 88% that spoke about their pain, only 52% felt that their complaints were taken seriously, while 36% felt partially taken seriously. A correlation analysis indicated that higher levels of reported pain were negatively associated with coping strategies involving downplaying or trivializing symptoms, suggesting that musicians experiencing stronger pain were less likely to minimize it.</p>
<p>The amount of pain in several body parts was also depending on whether the instrument requires an asymmetrical body posture (see <xref ref-type="fig" rid="fig11">Figure 11</xref>). 98% of the participants reported to experience pain regularly. 77% of the young musicians reported to play through the pain (see <xref ref-type="fig" rid="fig11">Figures 11</xref>, <xref ref-type="fig" rid="fig12">12</xref>).</p>
<fig position="float" id="fig11">
<label>Figure 11</label>
<caption>
<p>Mean pain score per body region depending on the type of body posture (symmetrical or asymmetrical) required to play the main instrument.</p>
</caption>
<graphic xlink:href="fpsyg-17-1742780-g011.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar chart comparing mean pain scores on a scale of one to ten for arm pain, back pain, and shoulder and neck pain between symmetrical and asymmetrical groups, with asymmetrical group reporting higher pain in all categories.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig12">
<label>Figure 12</label>
<caption>
<p>Percentage of participants experiencing pain regularly in the most strained body parts by playing an instrument.</p>
</caption>
<graphic xlink:href="fpsyg-17-1742780-g012.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Horizontal bar chart showing percentages for body parts: Neck, Shoulders, Head and Ears, and Hands and Fingers are above eighty percent. Arms are about sixty percent, Legs are about twenty percent.</alt-text>
</graphic>
</fig>
<p>Similar findings were reported by Rafal Lawendowski and colleagues in their investigation on study addiction among 132 music students (<xref ref-type="bibr" rid="ref42">Lawendowski et al., 2019</xref>): Here, too, musculoskeletal pain was identified as a central and widespread health problem among musicians, which is already perceived as burdensome in early adolescence. This study also recognizes problematic practice behavior, in which musicians neglect their physical and social needs, as well as the ignoring of warning signs, with musicians simply continuing to play despite pain.</p>
</sec>
<sec id="sec45">
<label>4.6.5</label>
<title>Performance anxiety and practice behavior</title>
<p>The Music Performance Anxiety Inventory for Adolescents (MPAI-A) indicated that performance anxiety generally increased in the weeks before the concert phase. However, participants in the Mental Training group maintained stable scores across this period, suggesting that the intervention buffered against the typical pre-concert increase.</p>
<p>Self-reported practice-related anxiety was also prevalent: 55% reported anxiety when underprepared, 73% when unable to practice regularly, and 64% described feeling guilty about practicing. Almost half (48%) stated that they had already experienced health problems as a result of instrumental practice. These findings highlight the high psychological load carried by youth orchestra musicians and the extent to which their practice behaviors are intertwined with feelings of anxiety and guilt.</p>
</sec>
<sec id="sec46">
<label>4.6.6</label>
<title>Musical Busyness and coping</title>
<p>A &#x201C;Musical Busyness&#x201D; index was calculated based on participants&#x2019; reports about the time they spend making music. Concert frequency, rehearsal frequency, and daily practice duration were taken into account. The Musical Busyness score was calculated comparing each participant to their peers by awarding 1 point for being above the sample mean and 1 additional point for each standard deviation that the individual score was above the mean score. For example, the mean practice time was 1.19&#x202F;h per day with a standard deviation of 0.94, so a score above the 2nd standard deviation of 3.07&#x202F;h per day would be rewarded with 3 points on the Musical Busyness scale (see <xref ref-type="table" rid="tab6">Table 6</xref>).</p>
<table-wrap position="float" id="tab6">
<label>Table 6</label>
<caption>
<p>Pearson&#x2019;s correlations for a priori measured pain level, anxiety, dysfunctional practice behavior, and stress coping mechanisms.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variable</th>
<th>n/r/p</th>
<th align="center" valign="top">Pain</th>
<th align="center" valign="top">Positive stress coping mechanisms</th>
<th align="center" valign="top">Negative stress coping mechanisms</th>
<th align="center" valign="top">Dysfunctional practice behavior</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="3">Positive stress coping mechanisms</td>
<td align="center" valign="middle"><italic>n</italic></td>
<td align="center" valign="middle">92</td>
<td align="center" valign="middle">&#x2014;</td>
<td/>
<td/>
</tr>
<tr>
<td align="center" valign="middle"><italic>r</italic></td>
<td align="center" valign="middle">0.091</td>
<td align="center" valign="middle">&#x2014;</td>
<td/>
<td/>
</tr>
<tr>
<td align="center" valign="middle"><italic>p</italic></td>
<td align="center" valign="middle">0.389</td>
<td align="center" valign="middle">&#x2014;</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="3">Negative stress coping mechanisms</td>
<td align="center" valign="middle"><italic>n</italic></td>
<td align="center" valign="middle">92</td>
<td align="center" valign="middle">93</td>
<td align="center" valign="middle">&#x2014;</td>
<td/>
</tr>
<tr>
<td align="center" valign="middle"><italic>r</italic></td>
<td align="center" valign="middle">0.410&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="middle">&#x2212;0.112</td>
<td align="center" valign="middle">&#x2014;</td>
<td/>
</tr>
<tr>
<td align="center" valign="middle"><italic>p</italic></td>
<td align="center" valign="middle">&#x003C; 0.001</td>
<td align="center" valign="middle">0.284</td>
<td align="center" valign="middle">&#x2014;</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="3">Dysfunctional practice behavior</td>
<td align="center" valign="middle"><italic>n</italic></td>
<td align="center" valign="middle">92</td>
<td align="center" valign="middle">93</td>
<td align="center" valign="middle">93</td>
<td align="center" valign="middle">&#x2014;</td>
</tr>
<tr>
<td align="center" valign="middle"><italic>r</italic></td>
<td align="center" valign="middle">0.407&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="middle">0.086</td>
<td align="center" valign="middle">0.065</td>
<td align="center" valign="middle">&#x2014;</td>
</tr>
<tr>
<td align="center" valign="middle"><italic>p</italic></td>
<td align="center" valign="middle">&#x003C; 0.001</td>
<td align="center" valign="middle">0.410</td>
<td align="center" valign="middle">0.536</td>
<td align="center" valign="middle">&#x2014;</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="3">MPA</td>
<td align="center" valign="middle"><italic>n</italic></td>
<td align="center" valign="middle">92</td>
<td align="center" valign="middle">91</td>
<td align="center" valign="middle">91</td>
<td align="center" valign="middle">91</td>
</tr>
<tr>
<td align="center" valign="middle"><italic>r</italic></td>
<td align="center" valign="middle">0.374&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="middle">&#x2212;0.237&#x002A;</td>
<td align="center" valign="middle">0.591&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="middle">0.252&#x002A;</td>
</tr>
<tr>
<td align="center" valign="middle"><italic>p</italic></td>
<td align="center" valign="middle">&#x003C; 0.001</td>
<td align="center" valign="middle">0.024</td>
<td align="center" valign="middle">&#x003C; 0.001</td>
<td align="center" valign="middle">0.016</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05, &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001.</p>
</table-wrap-foot>
</table-wrap>
<p>Participants had an average Musical Busyness score of 3 points and only 25 out of the 94 participants scored a 0, meaning they fell below their peers&#x2019; average in all categories. Higher busyness scores correlated negatively with age (Pearson&#x2019;s <italic>r</italic>&#x202F;=&#x202F;&#x2212;0.225, <italic>p</italic>&#x202F;=&#x202F;0.031), indicating that younger musicians were generally more intensively engaged. A very high busyness profile (for example, more than 29 concerts per year, at least three rehearsals per week, and one hour of daily practice) was most common among musicians averaging 16.8&#x202F;years of age (see <xref ref-type="table" rid="tab7">Tables 7</xref>&#x2013;<xref ref-type="table" rid="tab9">9</xref>).</p>
<table-wrap position="float" id="tab7">
<label>Table 7</label>
<caption>
<p>Calculation of Musical Busyness score using mean values and standard deviation among the participants across 5 time-consuming categories.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="2">Practise time [hrs/day]</th>
<th align="center" valign="top" colspan="2">Concerts per year (ensemble)</th>
<th align="center" valign="top" colspan="2">Concerts per year (as soloist)</th>
<th align="center" valign="top" colspan="2">Number of active ensembles</th>
<th align="center" valign="top" colspan="2">Ensemble rehearsals p. week</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">&#x2265; 1.19&#x202F;h</td>
<td align="center" valign="top">1P</td>
<td align="center" valign="top">&#x2265; 12.86</td>
<td align="center" valign="top">1P</td>
<td align="center" valign="top">&#x2265; 3.25</td>
<td align="center" valign="top">1P</td>
<td align="center" valign="top">&#x2265; 2.66</td>
<td align="center" valign="top">1P</td>
<td align="center" valign="top">&#x2265; 1.70</td>
<td align="center" valign="top">1P</td>
</tr>
<tr>
<td align="left" valign="middle">&#x2265; 2.13&#x202F;h</td>
<td align="center" valign="middle">2P</td>
<td align="center" valign="middle">&#x2265; 22.39</td>
<td align="center" valign="middle">2P</td>
<td align="center" valign="middle">&#x2265; 6.99</td>
<td align="center" valign="middle">2P</td>
<td align="center" valign="middle">&#x2265; 4.43</td>
<td align="center" valign="middle">2P</td>
<td align="center" valign="middle">&#x2265; 2.88</td>
<td align="center" valign="middle">2P</td>
</tr>
<tr>
<td align="left" valign="middle">&#x2265; 3.07&#x202F;h</td>
<td align="center" valign="middle">3P</td>
<td align="center" valign="middle">&#x2265; 31.92</td>
<td align="center" valign="middle">3P</td>
<td align="center" valign="middle">&#x2265; 10.73</td>
<td align="center" valign="middle">3P</td>
<td align="center" valign="middle">&#x2265; 6.19</td>
<td align="center" valign="middle">3P</td>
<td align="center" valign="middle">&#x2265; 4.06</td>
<td align="center" valign="middle">3P</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="tab8">
<label>Table 8</label>
<caption>
<p>Musical Busyness score, number of participants with that score and the mean age of this group.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Musical Busyness score</th>
<th align="center" valign="top">Number of participants with that score</th>
<th align="center" valign="top">Mean age</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">0</td>
<td align="center" valign="top">25</td>
<td align="char" valign="top" char=".">19.13</td>
</tr>
<tr>
<td align="left" valign="top">1</td>
<td align="center" valign="top">7</td>
<td align="char" valign="top" char=".">17.43</td>
</tr>
<tr>
<td align="left" valign="top">2</td>
<td align="center" valign="top">10</td>
<td align="char" valign="top" char=".">18.00</td>
</tr>
<tr>
<td align="left" valign="top">3</td>
<td align="center" valign="top">16</td>
<td align="char" valign="top" char=".">18.67</td>
</tr>
<tr>
<td align="left" valign="top">4</td>
<td align="center" valign="top">9</td>
<td align="char" valign="top" char=".">18.33</td>
</tr>
<tr>
<td align="left" valign="top">5</td>
<td align="center" valign="top">10</td>
<td align="char" valign="top" char=".">17.10</td>
</tr>
<tr>
<td align="left" valign="top">6</td>
<td align="center" valign="top">7</td>
<td align="char" valign="top" char=".">17.29</td>
</tr>
<tr>
<td align="left" valign="top">7 and above</td>
<td align="center" valign="top">10</td>
<td align="char" valign="top" char=".">16.80</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="tab9">
<label>Table 9</label>
<caption>
<p>Mean Musical Busyness score divided by musical instrument.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Instrument</th>
<th align="center" valign="top">Mean Musical Busyness</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Strings</td>
<td align="char" valign="middle" char=".">2.34</td>
</tr>
<tr>
<td align="left" valign="middle">Woodwinds</td>
<td align="char" valign="middle" char=".">3.46</td>
</tr>
<tr>
<td align="left" valign="middle">Brass</td>
<td align="char" valign="middle" char=".">4.80</td>
</tr>
<tr>
<td align="left" valign="middle">Others (<italic>N</italic>&#x202F;=&#x202F;5)</td>
<td align="char" valign="middle" char=".">4.60</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Musical Busyness also varied between instrument groups, and it was linked to psychological functioning. Higher scores correlated positively with positive self-affirmation strategies (Pearson&#x2019;s <italic>r</italic>&#x202F;=&#x202F;0.282, <italic>p</italic>&#x202F;=&#x202F;0.007) and negatively with negative coping strategies (Pearson&#x2019;s <italic>r</italic>&#x202F;=&#x202F;&#x2212;0.213, <italic>p</italic>&#x202F;=&#x202F;0.043). At the same time, higher Busyness was associated with more dysfunctional practice behavior, such as ignoring pain, neglecting social needs, or feeling anxious when not practicing (Pearson&#x2019;s <italic>r</italic>&#x202F;=&#x202F;0.263, <italic>p</italic>&#x202F;=&#x202F;0.012) (see <xref ref-type="fig" rid="fig13">Figure 13</xref>). Group comparisons confirmed this pattern: musicians with high busyness engaged significantly less in negative coping (<italic>t</italic>&#x202F;=&#x202F;2.313, <italic>p</italic>&#x202F;=&#x202F;0.023, <italic>d</italic>&#x202F;=&#x202F;0.49) but significantly more in dysfunctional practice (<italic>t</italic>&#x202F;=&#x202F;2.345, <italic>p</italic>&#x202F;=&#x202F;0.021, <italic>d</italic>&#x202F;=&#x202F;0.49).</p>
<fig position="float" id="fig13">
<label>Figure 13</label>
<caption>
<p>Musical Busyness correlating positively with dysfunctional practice behavior score (Pearson&#x2019;s <italic>r</italic>&#x202F;=&#x202F;0.263, <italic>p</italic>&#x202F;=&#x202F;0.012).</p>
</caption>
<graphic xlink:href="fpsyg-17-1742780-g013.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Scatter plot showing the relationship between Dysfunctional Practise Behaviour Score on the x-axis, ranging from zero to twenty-five, and Musical Busyness Score on the y-axis, ranging from zero to ten, with a positive trend line indicating a slight positive correlation.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec47">
<label>4.6.7</label>
<title>Professional aspirations</title>
<p>38 young musicians reported to want to become professional musicians. Aspiring professional musicians differed systematically from their peers. They reported significantly higher scores for dysfunctional practice behavior (t<sub>(82)</sub>&#x202F;=&#x202F;3.881, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001, <italic>d</italic>&#x202F;=&#x202F;0.85) and displayed steeper increases in pre-concert anxiety (t<sub>(32)</sub>&#x202F;=&#x202F;2.869, <italic>p</italic>&#x202F;=&#x202F;0.007, <italic>d</italic>&#x202F;=&#x202F;0.50). This indicates that professional ambition may amplify both the risks of maladaptive practice and vulnerability to performance anxiety.</p>
</sec>
<sec id="sec48">
<label>4.6.8</label>
<title>Intervention-related changes</title>
<p>Post-intervention data revealed several patterns. Participants who expressed greater intention to integrate the newly-learned strategies into daily life reported smaller increases in both pain and performance anxiety between camps, though these effects did not reach statistical significance. Among those reporting higher pain levels, improvements in healthy practice behavior were observed (Pearson&#x2019;s <italic>r</italic>&#x202F;=&#x202F;0.442, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). Within the BodyFit group, pain reduction correlated positively with enjoyment of the intervention (Pearson&#x2019;s <italic>r</italic>&#x202F;=&#x202F;0.552, <italic>p</italic>&#x202F;=&#x202F;0.003). Self-reports also indicated greater recognition of the value of physical compensation, more frequent warming up before practice, and increased awareness of warm-up exercises as part of music lessons. However, overall pain scores did not decrease, and in some cases increased slightly, possibly reflecting the dense rehearsal schedule and the timing of the follow-up survey during the beginning of school term and in close proximity to the concert (see <xref ref-type="fig" rid="fig14">Figures 14</xref>, <xref ref-type="fig" rid="fig15">15</xref>).</p>
<fig position="float" id="fig14">
<label>Figure 14</label>
<caption>
<p>Results of music performance anxiety inventory during the summer holidays and after the intervention, but right before the concert in October grouped by intervention.</p>
</caption>
<graphic xlink:href="fpsyg-17-1742780-g014.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar chart comparing music performance anxiety scores for three interventions: BodyFit, Mental Training, and VR-Training. For all three, anxiety scores are higher before a concert than during summer holidays, with VR-Training showing the largest difference.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig15">
<label>Figure 15</label>
<caption>
<p>Sum of pain across all body parts during summer holidays and right before the concert in October, grouped by received intervention.</p>
</caption>
<graphic xlink:href="fpsyg-17-1742780-g015.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar chart comparing pain scores across all body parts for BodyFit, Mental Training, and VR-Training in two scenarios: pain in summer holidays (gray bars) and pain before concert (black bars). BodyFit shows the highest pain scores in both scenarios, with scores increasing before the concert. Mental Training and VR-Training have lower and nearly equal pain scores, with minimal changes between the two scenarios. Chart demonstrates the pain score trends across different training methods and situations.</alt-text>
</graphic>
</fig>
<p>The response rate to the post-intervention interview remained below our expectations, probably also because school and university classes had started for the participants and because the concert was approaching. Total numbers can be found in the <xref ref-type="table" rid="tab10">Table 10</xref>.</p>
<table-wrap position="float" id="tab10">
<label>Table 10</label>
<caption>
<p>Paired sampled t-tests (pain and anxiety before and after interventions per intervention group).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>Group</th>
<th align="center" valign="top">Mean score before (<italic>N</italic>)</th>
<th align="center" valign="top">Mean score after (<italic>N</italic>)</th>
<th align="center" valign="top"><italic>t-</italic>value</th>
<th align="center" valign="top">df</th>
<th align="center" valign="top"><italic>p-</italic>value</th>
<th align="center" valign="top">Cohen&#x2019;s <italic>d</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="7">Mental training intervention group</td>
</tr>
<tr>
<td align="left" valign="top">MPA (anxiety)</td>
<td align="char" valign="middle" char="(">206.9 (<italic>N</italic> =&#x202F;38)</td>
<td align="char" valign="middle" char="(">208.8 (<italic>N</italic> =&#x202F;27)</td>
<td align="char" valign="middle" char=".">&#x2212;1.561</td>
<td align="center" valign="middle">21</td>
<td align="char" valign="middle" char=".">0.133</td>
<td align="center" valign="middle">&#x2212;0.333</td>
</tr>
<tr>
<td align="left" valign="top">SD (SE)</td>
<td align="char" valign="middle" char="(">45.27 (7.34)</td>
<td align="char" valign="middle" char="(">37.0 (7.12)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">(SE&#x202F;=&#x202F;0.135)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2211; overall pain</td>
<td align="char" valign="middle" char="(">55.9 (<italic>N</italic> =&#x202F;40)</td>
<td align="char" valign="middle" char="(">55.0 (<italic>N</italic> =&#x202F;26)</td>
<td align="char" valign="middle" char=".">0.423</td>
<td align="center" valign="middle">21</td>
<td align="char" valign="middle" char=".">0.677</td>
<td align="center" valign="middle">0.09</td>
</tr>
<tr>
<td align="left" valign="top">SD (SE)</td>
<td align="char" valign="middle" char="(">19.94 (3.15)</td>
<td align="char" valign="middle" char="(">21.66 (4.25)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">(SE&#x202F;=&#x202F;0.219)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="7">BodyFit intervention group</td>
</tr>
<tr>
<td align="left" valign="top">MPA (anxiety)</td>
<td align="char" valign="middle" char="(">209.9 (<italic>N</italic> =&#x202F;45)</td>
<td align="char" valign="middle" char="(">221.1 (<italic>N</italic> =&#x202F;31)</td>
<td align="char" valign="middle" char=".">&#x2212;2.050</td>
<td align="center" valign="middle">30</td>
<td align="char" valign="middle" char=".">0.049</td>
<td align="center" valign="middle">&#x2212;0.368</td>
</tr>
<tr>
<td align="left" valign="top">SD (SE)</td>
<td align="char" valign="middle" char="(">37.27 (5.56)</td>
<td align="char" valign="middle" char="(">37.27 (6.70)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">(SE&#x202F;=&#x202F;0.100)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2211; overall pain</td>
<td align="char" valign="middle" char="(">57.9 (<italic>N</italic> =&#x202F;48)</td>
<td align="char" valign="middle" char="(">63.8 (<italic>N</italic> =&#x202F;26)</td>
<td align="char" valign="middle" char=".">&#x2212;2.498</td>
<td align="center" valign="middle">25</td>
<td align="char" valign="middle" char=".">0.019</td>
<td align="center" valign="middle">&#x2212;0.490</td>
</tr>
<tr>
<td align="left" valign="top">SD (SE)</td>
<td align="char" valign="middle" char="(">26.55 (3.83)</td>
<td align="char" valign="middle" char="(">27.53 (5.40)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">(SE&#x202F;=&#x202F;0.134)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="7">Virtual reality intervention group</td>
</tr>
<tr>
<td align="left" valign="top">MPA (anxiety)</td>
<td align="char" valign="middle" char="(">209.1 (<italic>N</italic> =&#x202F;10)</td>
<td align="char" valign="middle" char="(">232.7 (<italic>N</italic> =&#x202F;9)</td>
<td align="char" valign="middle" char=".">&#x2212;1.968</td>
<td align="center" valign="middle">8</td>
<td align="char" valign="middle" char=".">0.085</td>
<td align="center" valign="middle">&#x2212;0.656</td>
</tr>
<tr>
<td align="left" valign="top">SD (SE)</td>
<td align="char" valign="middle" char="(">49.25 (15.58)</td>
<td align="char" valign="middle" char="(">78.64 (26.21)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.195</td>
</tr>
<tr>
<td align="left" valign="top">&#x2211; overall pain</td>
<td align="char" valign="middle" char="(">51.1 (<italic>N</italic> =&#x202F;11)</td>
<td align="char" valign="middle" char="(">53.25 (<italic>N</italic> =&#x202F;8)</td>
<td align="char" valign="middle" char=".">&#x2212;3.671</td>
<td align="center" valign="middle">7</td>
<td align="char" valign="middle" char=".">0.008</td>
<td align="center" valign="middle">&#x2212;1.298</td>
</tr>
<tr>
<td align="left" valign="top">SD (SE)</td>
<td align="char" valign="middle" char="(">26.42 (7.96)</td>
<td align="char" valign="middle" char="(">9.89 (3.5)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.532</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec49">
<label>4.6.9</label>
<title>Feedback on the interventions</title>
<p>Quantitative ratings showed that participants evaluated the interventions very positively. On a 7-point scale, mean enjoyment was 5.67, perceived usefulness 5.72, and intention to integrate 5.35. These results underscore the high relevance and feasibility of implementing preventive strategies in real-world rehearsal contexts. The strong willingness to participate, already evident in the initial consent data where fewer than 10% declined participation in any module, was mirrored in consistently high compliance during the camps.</p>
</sec>
<sec id="sec50">
<label>4.6.10</label>
<title>Summary</title>
<p>Overall, the survey outcomes demonstrate that pain, anxiety, and dysfunctional practice behaviors are highly prevalent in youth orchestras, while consistent use of hearing protection remains low. High levels of musical engagement foster adaptive coping strategies but also amplify maladaptive patterns, particularly among those aspiring to be professionals. Interventions such as Mental Training and BodyFit were well received, associated with buffering effects against performance anxiety and improvements in healthy practice behavior among those experiencing pain. These findings highlight both the opportunities and risks of youth orchestra participation: while intense involvement cultivates resilience and self-affirmation, it also increases vulnerability to overuse, auditory risks, and anxiety if preventive strategies are not systematically integrated into training.</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="sec51">
<label>5</label>
<title>Discussion</title>
<sec id="sec52">
<label>5.1</label>
<title>Main findings and interpretation</title>
<p>This study suggests that a multimodal health-promotion program can feasibly be implemented in the rehearsal culture of large youth orchestras. Three main findings stand out.</p>
<p>First, regarding hearing health: although most young musicians still exhibited normal audiograms, some brass players already showed early high-frequency threshold shifts. This finding is consistent with previous evidence indicating that the risk of noise-induced hearing loss may begin early in orchestral training and highlights the need for preventive strategies, such as consistent and context-appropriate hearing protection.</p>
<p>Second, concerning physiological stress monitoring: smartwatch-based recordings captured both group-level activation patterns (e.g., anticipatory arousal before rehearsals and concerts) and fine-grained individual stress trajectories linked to solos, performance errors, or unexpected cues. These findings support the ecological sensitivity of wearable monitoring in performance contexts and illustrate its feasibility for linking subjective experiences to objective psychophysiological markers.</p>
<p>Third, regarding practical interventions: structured warm-ups, BodyFit workshops, and mental training sessions were well accepted and widely perceived as beneficial. One pragmatic implementation technique was to carry out the warm-up at the beginning of each rehearsal rather than adding it beforehand, which was associated with improved participation and punctuality. Participants reported increased body awareness and a normalization of psychological skills training, while typical pre-concert increases in anxiety were noted as less pronounced. In line with this, group-level stress-monitoring patterns exhibited transient downshifts in arousal during short on-stage warm-ups or mental focusing exercises before high-stakes run-throughs.</p>
<p>Virtual Reality Exposure Training: VRET elicited physiological stress responses comparable to those observed during live performances, highlighting its potential as a controllable platform for training and exploratory research. Instead of avatar-based or gendered imagery, the training employed photorealistic, 360&#x00B0; scene-captured video of concert halls with ambisonic audio. Participants reported the content as highly realistic and acceptable. The platform was perceived to enhance face validity (i.e., the content looked and felt like the &#x201C;real thing&#x201D; to users) and to foster engagement. Adding real-time augmented acoustics may further improve ecological fidelity while preserving experimental control (<xref ref-type="bibr" rid="ref9">Bertsch and Frank, 2022</xref>; <xref ref-type="bibr" rid="ref10">Bertsch and Peschka, 2023</xref>).</p>
<p>In classroom deployments, stand-alone VR headsets were rarely plug-and-play in practice, as an initial configuration (guardian/boundary setup, controller pairing, stable Wi-Fi) was usually required. Although all sessions ran successfully, they depended on in-room expertise and small setup buffers. Based on these experiences, we recommend the following implementation measures for educational rollouts: (1) pre-session checks and local content caching, (2) a 10-min setup buffer, (3) a wired or standalone fallback option without casting in low-connectivity scenarios, and (4) basic operator training for staff.</p>
<p>Taken together, these results indicate that targeted health education, preventive interventions, and technology-supported monitoring can be feasibly integrated into youth orchestras and may support resilience and sustainable performance development. A key observation is the modules&#x2019; consistently high uptake: over 90% of participants expressed willingness to engage in warm-ups, audiometric testing, and surveys, suggesting that health promotion initiatives are not only feasible but also well received by young musicians.</p>
<p>The survey results further demonstrate that health issues and dysfunctional behaviors are widespread rather than exceptional. This corroborates the initial observations of <xref ref-type="bibr" rid="ref16">Britsch (2005)</xref>, who found that even adolescent orchestra members frequently experienced pain and performance anxiety yet rarely received guidance on prevention or coping strategies. Almost half of the participants reported health problems related to practice, and one-third reported practicing through pain despite knowing it was not advisable.</p>
<p>Musculoskeletal discomfort was almost universal, with over a third of musicians reporting pain &#x201C;most of the time&#x201D; or &#x201C;always.&#x201D; The pain was most frequently located in the areas of the body that bear the most load when playing an instrument, such as the neck, shoulders, lower back, and hands. Alarmingly, 12% of participants felt that their complaints of pain were not at all taken seriously, revealing a gap between the actual burden of health problems experienced by musicians and the recognition these problems receive in educational contexts. In line with previous studies of competition-level youth musicians (<xref ref-type="bibr" rid="ref33">Gembris et al., 2020</xref>), most participants reported mild to moderate musculoskeletal discomfort, indicating that PRP may develop prior to tertiary education. These findings reflect the broader spectrum of health and illness in musicians&#x2019; medicine, where overuse, psychological stress, and acoustic load interact to cause diseases specific to musicians (<xref ref-type="bibr" rid="ref60">Spahn, 2022</xref>).</p>
<p>Pain and anxiety stayed the same or increased between the two measurements, but this might be because the first measurement was taken during the summer holidays and the second one right before the concert weeks after the intervention, when school/university had already started for the participants. Also, the response rate was lower than expected, so these results should be treated with caution, as roughly half of the participants responded to both questionnaires in some groups.</p>
</sec>
<sec id="sec53">
<label>5.2</label>
<title>Integration across modules</title>
<p>The integration of acoustic, physiological, psychological, and behavioral data revealed important synergies across the different modules. Elevated sound exposure among brass players coincided with early high-frequency hearing threshold shifts and low reported use of earplugs, underscoring the urgent need for targeted hearing-protection education. Conversely, the percussionist(s) who consistently used custom-fit protection showed exceptionally good thresholds, providing a positive counterexample.</p>
<p>Physiological stress markers such as electrodermal activity, pulse, and temperature fluctuations were evident, not only during live concerts, but also in Virtual Reality simulations: validating VR as both an intervention and an experimental paradigm. Arousal peaks observed after concerts were linked to social and celebratory contexts, illustrating that wearable monitoring must be interpreted within the broader ecology of musicians&#x2019; lives rather than only in terms of performance demands.</p>
<p>Survey findings on pain, anxiety, and guilt complemented both the audiometric and physiological data. The high prevalence of practicing through pain (32%) aligns with dysfunctional practice patterns and anxiety about insufficient practice (73%), which, in turn, resonate with the stress responses captured before rehearsals and concerts. These converging data illuminate a systemic culture of overpractice and perfectionism that places young musicians at heightened risk.</p>
<p>The linkage between survey-based reports of pain in high-strain body regions, physiological stress responses during difficult passages, and feedback from BodyFit workshops further strengthens the case for integrated interventions. While BodyFit sessions improved awareness of posture and tension, the persistence of pain across the cohort indicates that more sustained or intensive programs may be needed. Moreover, the very low rate of medical treatment uptake highlights an unmet need for structured health education and accessible physiotherapeutic support within youth orchestra programs.</p>
<p>Taken together, the interdependence of the modules shows that the challenges identified (hearing risk, stress reactivity, pain, and maladaptive practice) are mutually reinforcing. This underscores the necessity of a holistic approach to health promotion in youth orchestras, where acoustic, psychological, and physiological dimensions are addressed simultaneously rather than in isolation.</p>
</sec>
<sec id="sec54">
<label>5.3</label>
<title>Comparison with existing literature</title>
<p>The present findings are consistent with previous evidence indicating that adolescent musicians already experience musculoskeletal pain, stress, and early-stage hearing problems at rates approaching those reported for professional musicians (<xref ref-type="bibr" rid="ref32">Gembris et al., 2018</xref>; <xref ref-type="bibr" rid="ref57">Schink et al., 2014</xref>). Comparable prevalence rates of 60&#x2013;90% have been reported among professional orchestral musicians worldwide (<xref ref-type="bibr" rid="ref14">Blum and Ahlers, 1994</xref>; <xref ref-type="bibr" rid="ref72">Zetterberg et al., 1998</xref>; <xref ref-type="bibr" rid="ref1">Abr&#x00E9;u-Ramos and Micheo, 2007</xref>; <xref ref-type="bibr" rid="ref2">Ackermann et al., 2012</xref>; <xref ref-type="bibr" rid="ref61">Steinmetz et al., 2015</xref>; <xref ref-type="bibr" rid="ref38">Kenny and Ackermann, 2015</xref>; <xref ref-type="bibr" rid="ref30">Gasenzer et al., 2017</xref>). The underuse of hearing protection observed in this cohort mirrors long-standing challenges documented by <xref ref-type="bibr" rid="ref49">Pawlaczyk-&#x0141;uszczy&#x0144;ska et al. (2011a</xref>, <xref ref-type="bibr" rid="ref50">2011b)</xref>, pointing to persistent barriers in translating risk awareness into consistent protective behavior.</p>
<p>The observed associations between mental training participation and reduced performance anxiety are in line with earlier reports by <xref ref-type="bibr" rid="ref39">Kenny and Osborne (2006)</xref>, who emphasized the need for age-appropriate psychological support, and by <xref ref-type="bibr" rid="ref18">Campbell (2020)</xref>, who demonstrated the value of implementing mental skills and body-based interventions in youth orchestra training. Early preventive approaches addressing performance anxiety appear particularly relevant, given that even pre-adolescent students exhibit substantial levels of music performance anxiety (<xref ref-type="bibr" rid="ref45">Nusseck et al., 2015</xref>). Similarly, the VRET-related findings align with prior work (<xref ref-type="bibr" rid="ref68">Williamon et al., 2014</xref>; <xref ref-type="bibr" rid="ref34">Glowinski et al., 2015</xref>; <xref ref-type="bibr" rid="ref13">Bissonnette et al., 2016</xref>), demonstrating the potential of immersive technologies in performance-anxiety research. The present study extends this line of work by illustrating comparable patterns of physiological activation during VR exposure and live performance within a complex, ecologically valid orchestral context.</p>
<p>Although physical health issues among musicians have been widely documented, holistic models of well-being, such as those proposed by the Ecology of Musical Performance (EMP) framework, remain underrepresented in empirical research (<xref ref-type="bibr" rid="ref29">Fukumura et al., 2025</xref>). This gap is particularly evident for young musicians in pre-professional training contexts.</p>
<p>Finally, the wearable stress-monitoring data provide fine-grained insight into both group-level arousal patterns and individual trajectories, responding to established calls for ecologically valid, field-based psychophysiological measurement in performance research (<xref ref-type="bibr" rid="ref68">Williamon et al., 2014</xref>) and aligning with recent developments toward more realistic, context-rich performance simulation and monitoring tools (<xref ref-type="bibr" rid="ref66">Waddell et al., 2025</xref>). Together, these findings situate TFOYO within a growing body of research advocating integrated, multimodal approaches to musicians&#x2019; health.</p>
</sec>
<sec id="sec55">
<label>5.4</label>
<title>Methodological considerations</title>
<p>Key strengths of this project include its real-world orchestral setting, the integration of multiple data modalities, and the ecological validity afforded by combining rehearsals, concerts, and residential camps. The combination of subjective self-reports with objective physiological and acoustic measures enabled a more nuanced interpretation than would have been possible using a single-method approach. Like recent participatory approaches in health protocol development for young musicians (<xref ref-type="bibr" rid="ref59">Shoebridge and Osborne, 2025</xref>), the intervention framework was informed by direct input from students and orchestra staff, underscoring the relevance of tailored and co-designed preventive strategies.</p>
<p>Several limitations must be acknowledged. Subsamples within individual modules were relatively small (e.g., VRET participation was limited primarily to brass players), which restricts generalizability. Wearable devices, while offering rich physiological data, were susceptible to motion-related artefacts: EDA signals were affected by arm movements, and wrist skin temperature was sensitive to ambient conditions. Participation was voluntary, and self-selection into specific interventions may have introduced a bias toward participants with greater health awareness or interest. In addition, age, experience level, and professional aspirations appeared to shape outcomes, with musicians pursuing professional careers reporting higher dysfunctional practice scores and more pronounced pre-concert anxiety.</p>
<p>The documentation of consent preferences prior to the study provided valuable insight into participant motivation and supported intervention planning. At the same time, the notability high rates of reported willingness may partly reflect social desirability effects. Future research should therefore complement self-reported measures with longitudinal behavioral indicators to more accurately assess sustained engagement and longer-term impact.</p>
<p>In addition, the intensive rehearsal schedules and limited recovery opportunities inherent to residential orchestra camps posed additional practical constraints. Daily walking distances between venues, combined with extended working hours and prolonged daylight exposure during the Bod&#x00F8; phase, likely affected rest and sleep quality. These contextual factors highlight that, although the multimodal framework proved feasible under field conditions, its implementation must carefully account for musicians&#x2019; restricted time resources and cumulative environmental load.</p>
</sec>
<sec id="sec56">
<label>5.5</label>
<title>Practical implications and future directions</title>
<p>The present findings inform several practical considerations for promoting health awareness and resilience in youth orchestras:</p>
<list list-type="bullet">
<list-item>
<p>Integration into rehearsal culture: Early, structured health interventions such as daily warm-ups can be implemented into orchestral routines with minimal disruption, provided they are aligned with rehearsal schedules and artistic priorities.</p>
</list-item>
<list-item>
<p>Audiometric screening and hearing education: Noise-risk education and access to appropriate hearing protection appear particularly relevant, especially for high-risk sections (e.g., brass, percussion, high woodwinds). Emphasizing situational use (e.g., during fortissimo passages or close-range exposure) rather than constant wear may support uptake of the intervention; periodic audiological screening can be arranged independently of rehearsal settings.</p>
</list-item>
<list-item>
<p>Physical and mental skills training: BodyFit and mental training modules may be considered for integration into youth orchestra, conservatory, and music school contexts to support physical awareness and psychological coping skills.</p>
</list-item>
<list-item>
<p>Virtual reality exposure training (VRET): VR offers a controllable and repeatable exposure setting for stage-fright&#x2013;related training and research. Future developments could incorporate adaptive features such as real-time augmented audio and additional performance environments.</p>
</list-item>
<list-item>
<p>Wearable monitoring as pedagogy: Beyond research applications, physiological self-monitoring may serve as a reflective learning tool, helping young musicians recognize and interpret individual stress trajectories in relation to rehearsal and performance demands. For routine use by students and teachers, research-grade devices such as the EmbracePlus are of limited practicality, due to the absence of user-facing data streams and high acquisition costs (approximately USD 3,000). In contrast, consumer wearables (e.g., Apple Watch, Polar, Garmin) offer accessible heart-rate and HRV indicators that are suitable for educational contexts and guided self-reflection. For clinical investigations or research purposes, however, the EmbracePlus&#x2019;s access to raw data and higher sensor fidelity remain advantageous.</p>
</list-item>
</list>
<p>Looking ahead, health awareness could be conceived as a normalized and continuous element of music education, from schools and youth orchestras to conservatory curricula, rather than as an optional supplement.</p>
<p>Overall, the findings suggest that health promotion initiatives in youth orchestras may be particularly promising when coupled with digital innovation and active youth participation. Preventive strategies were perceived as more acceptable when embedded in broader educational and cultural frameworks, indicating that future European collaborations may benefit from pursuing such integrated approaches to support long-term adoption.</p>
</sec>
<sec id="sec57">
<label>5.6</label>
<title>Limitations</title>
<p>While the project demonstrated feasibility and promising outcomes, several limitations must be acknowledged:</p>
<list list-type="bullet">
<list-item>
<p>Sample size per module: Although 136 musicians participated overall, subgroup analyses (e.g., VRET, BodyFit, Mental Training) were based on smaller samples, limiting statistical power and generalizability.</p>
</list-item>
<list-item>
<p>Measurement conditions: Physiological monitoring took place in naturalistic but heterogeneous settings. While this enhances ecological validity, it necessarily reduces experimental control.</p>
</list-item>
<list-item>
<p>Technical artifacts: Wearable data were occasionally affected by motion-related artefacts (EDA) or ambient temperature influences (skin temperature), requiring careful data cleaning and cautious interpretation.</p>
</list-item>
<list-item>
<p>Self-selection bias: Musicians who opted into specific modules may have been more health-conscious or motivated, potentially inflating levels of engagement and perceived benefit.</p>
</list-item>
<list-item>
<p>Survey burden: The extensive pre-camp survey battery may have contributed to respondent fatigue, which could have affected response quality or completion rates.</p>
</list-item>
<list-item>
<p>Generalizability: Findings are specific to intensive residential youth orchestra camps and may not directly extend to other educational settings, age groups, or less immersive training formats.</p>
</list-item>
</list>
<p>Despite these limitations, the project provides a coherent multimodal feasibility framework and demonstrates that evidence-informed health promotion activities can be implemented and accepted within youth orchestra contexts. Rather than establishing effectiveness, the findings offer a structured basis for future controlled and longitudinal studies aimed at developing scalable and context-sensitive approaches to musician health.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="sec58">
<label>6</label>
<title>Conclusion</title>
<sec id="sec59">
<label>6.1</label>
<title>Summary</title>
<p>This study shows that combining objective multimodal measurements&#x2014;acoustic, physiological, and psychological&#x2014;with a didactic intervention program is feasible and well-accepted in the youth orchestra context. By mapping orchestral soundscapes, screening hearing thresholds, and monitoring stress responses with wearables, as well as integrating structured warm-ups, body conditioning, and mental training, the project established an integrative framework for health promotion. The findings suggest that young musicians reported increased awareness of health-related risks and perceived value in practical strategies to support resilience, coping with pain, and reflection on performance anxiety. Further showing the effectiveness of the interventions at an institutional level, the participating orchestras initiated follow-up measures, including plans to provide filtered hearing protection as standard equipment, where previously only basic foam earplugs had been available.</p>
<p>This multimethod approach enables a differentiated understanding of individual and group needs and may inform targeted preventive strategies early in a musician&#x2019;s educational trajectory. Beyond the immediate study context, the project generated sustainable educational outputs, including freely accessible instructional videos and informational materials that continue to be used and shared via social media and project channels and have already prompted inquiries from other youth orchestras.</p>
</sec>
<sec id="sec60">
<label>6.2</label>
<title>Sustainability</title>
<p>A central strength of the project lies in its commitment to informational sustainability and open knowledge transfer. All developed materials&#x2014;including daily warm-up routines, the <italic>Get in the Zone</italic> video, photorealistic VR scenarios, interactive online soundscape maps, audiometric tools, and health guidelines&#x2014;are freely accessible as open resources. This ensures long-term availability for educators, musicians, and institutions beyond the project&#x2019;s duration.</p>
<p>Informational sustainability was further supported by digital innovation and close collaboration between scientific experts and the leadership structures of youth orchestras. VR modules, training videos and handouts are permanently available online. Furthermore, youth committees and co-creation processes piloted in TFOYO offer a transferable model for integrating health, education and youth empowerment. Collaboration across European professional networks enhanced the project&#x2019;s impact by enabling the development of context-specific solutions through international partnerships, cultural exchange and adaptation to diverse rehearsal settings. This kind of transnational collaboration makes it possible to share best practice between youth orchestras and professional training environments for young musicians. It provides a scalable framework for implementing evidence-based health promotion in orchestral training in Europe and beyond.</p>
</sec>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec61">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.</p>
</sec>
<sec sec-type="ethics-statement" id="sec62">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Ethics Committee of the University of Music and Performing Arts Vienna (mdw). The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants&#x2019; legal guardians/next of kin. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.</p>
</sec>
<sec sec-type="author-contributions" id="sec63">
<title>Author contributions</title>
<p>MB: Visualization, Writing &#x2013; review &#x0026; editing, Data curation, Formal analysis, Software, Writing &#x2013; original draft, Conceptualization, Funding acquisition. MR: Writing &#x2013; review &#x0026; editing, Data curation, Writing &#x2013; original draft, Conceptualization, Formal analysis. TL: Writing &#x2013; review &#x0026; editing, Software, Data curation, Visualization. MS: Conceptualization, Writing &#x2013; review &#x0026; editing. CR: Methodology, Software, Writing &#x2013; original draft, Formal analysis, Visualization, Funding acquisition, Data curation, Conceptualization, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We sincerely thank all partners and contributors to the TFOYO project. Special thanks go to Birgit Djupedal (UNOF, Project Lead) and Caroline Steinhagen (LJO Hamburg, Project Lead) for their outstanding leadership and coordination. We are also grateful to the colleagues of the Austrian Society for Performing Arts Health &#x0026; Music Psychology (&#x00D6;GfMM) who supported the implementation and evaluation of the interventions but are not listed as co-authors, including Leonhard K&#x00F6;nigseder (Mental Training coach) and Michael Peschka (medical support). We further acknowledge the invaluable contributions of the UNOF and LJO Hamburg teams, including Mathias Gran, Elise Minde Fagerli, Terje Winther, Torodd Wigum (conductor), Stefanie Schrader, Johannes Braun, and Johannes Witt (conductor). Their dedication was essential for the organization and artistic success of the rehearsal phases. We are as well indebted to the Digital Wunderkammer of the Landesmusikrat Hamburg e.V. for providing infrastructure and media support. Lastly, we extend our heartfelt gratitude to all participating young musicians of the Norwegian National Youth Orchestra (NUSO) and the Landesjugendorchester Hamburg (LJO). Their commitment, enthusiasm, and artistry were at the heart of the TFOYO.EU project and made this study possible. A complete list of orchestra members is provided in the supplementary material.</p>
</ack>
<sec sec-type="COI-statement" id="sec64">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec65">
<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was used in the creation of this manuscript. We used DeepL (DeepL SE; accessed October 2025) for translation and language polishing, and ChatGPT (OpenAI; accessed November 2025) to standardize APA-style elements. <xref ref-type="fig" rid="fig2">Figure 2</xref> was redrawn from the authors&#x2019; original data. All outputs were reviewed, verified, and edited by the authors, who take full responsibility for the content.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec66">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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</ref-list>
<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0004">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/435791/overview">Adina Mornell</ext-link>, University of Music and Performing Arts Munich, Germany</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0005">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/66887/overview">Reinhard Kopiez</ext-link>, Hanover University of Music Drama and Media, Germany</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/941073/overview">Raluca Matei</ext-link>, Birkbeck, University of London, United Kingdom</p>
</fn>
</fn-group>
<fn-group>
<fn id="fn0001">
<label>1</label>
<p>The interactive SPL soundscape in the supplementary material can be found at: <ext-link xlink:href="https://muwiserver.univie.ac.at/tfoyo/" ext-link-type="uri">https://muwiserver.univie.ac.at/tfoyo/</ext-link>.</p>
</fn>
<fn id="fn0002">
<label>2</label>
<p>The interactive 360&#x00B0; 3D application of immersive orchestral experience can be found at: <ext-link xlink:href="https://www.mdw.ac.at/mrm/iasbs/virtuelle-touren/TFOYO/" ext-link-type="uri">https://www.mdw.ac.at/mrm/iasbs/virtuelle-touren/TFOYO/</ext-link>.</p>
</fn>
<fn id="fn0003">
<label>3</label>
<p>All audiograms are accessible through an interactive online orchestra layout, enabling instrument-specific exploration of hearing thresholds in the supplementary material at: <ext-link xlink:href="https://muwiserver.univie.ac.at/tfoyo/audiometrie" ext-link-type="uri">https://muwiserver.univie.ac.at/tfoyo/audiometrie</ext-link>.</p>
</fn>
</fn-group>
<fn-group>
<fn fn-type="abbr" id="abbrev1">
<label>Abbreviations:</label>
<p>BVP, Blood Volume Pulse; EDA, Electrodermal Activity; EMG, Electromyography; HRV, Heart Rate Variability; LJO, Landesjugendorchester Hamburg; MET, Metabolic Equivalent of Task; MPA, Music Performance Anxiety; MPAI-A, Music Performance Anxiety Inventory for Adolescents; NUSO, Norwegian National Youth Orchestra; PRMD, Playing-Related Musculoskeletal Disorder; SPL, Sound Pressure Level; SVF-78, Stressverarbeitungsfragebogen (Coping Styles Inventory, 78-item version); TFOYO, The Future of Youth Orchestra project; VR, Virtual Reality; VRET, Virtual Reality Exposure Training; &#x00D6;GfMM, &#x00D6;sterreichische Gesellschaft f&#x00FC;r Musik und Medizin; mdw, University of Music and Performing Arts Vienna.</p>
</fn>
</fn-group>
</back>
</article>