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MusicCohort: Pilot feasibility of a protocol to assess students’ physical and mental health in a Canadian post-secondary school of music



Music-related physical and mental health conditions are common among post-secondary music students, with many studies reporting a prevalence greater than 70%. However, there is currently no consensus on appropriate, validated assessments for this population. The aim of this pilot study was to test the feasibility of an assessment protocol developed for a German longitudinal study with Canadian post-secondary music students, and to compare the health of music students to non-music students. Using a cross-sectional design, first-semester music and non-music control students were recruited at two campuses at the same university. Both groups completed questionnaires and physical testing, including range of motion, core strength, and pressure pain threshold. Nineteen music students and 50 non-music student controls participated in this study.


The German protocol is feasible in a Canadian post-secondary setting. Canadian music students demonstrated similar health outcomes to those in the parent study. All participants demonstrated poorer mental and physical quality of life than the Canadian norms, though this was not statistically significant. The results of this study should be confirmed in a larger study. Future studies with larger sample sizes can provide further insight into the health of Canadian music students, providing a basis for prevention and intervention.


Post-secondary music programs place significant physical and psychological demands on students. Studies report the prevalence of Playing Related Musculoskeletal Disorders (PRMD) [1] as greater than 70% in post-secondary music students [2,3,4,5,6,7]. High prevalence of stress, depression, and anxiety are also reported [2, 5, 8,9,10]. Research in this field is quite heterogeneous, with definitions of music-related health conditions varying significantly. More consistency is needed, including the development and use of valid, occupation-specific assessment and measurement tools [11]. To this end, a new protocol to assess music students' health throughout their degree was developed in Germany [12]. The protocol was designed to use current, validated tools, while minimizing the time required for administration for both the tester and the subject. Both physical and mental health measures were included, since the literature indicates that musicians’ mental and physical health are interrelated [13,14,15].

The primary goal of this pilot study was to test the feasibility of the German protocol in a Canadian music program [16, 17]. In particular, we aimed to ensure that assessment procedures were reproduceable, that all necessary resources were available, and we aimed to reduce the protocol from its initial length of 90 min, to permit administration in a typical 1-h initial therapy appointment [16]. A secondary goal was to compare the health of Canadian music students to non-music students.

Main text


Study design

A cross-sectional study was conducted with full-time, first year undergraduate students at a university in Western Canada. Inclusion criteria were: (1) Bachelor of Music (majoring in music) (case) or majoring in any other program (control), and (2) age 16 or older. Exclusion criteria were: (1) diagnosed neurological, orthopaedic, or psychological condition, (2) infection or systemic disease, (3) regular medication for mental illness or pain, (4) varsity (inter-university) athlete, (5) for controls, enrollment in music courses where a grade is assigned for music performance.


Recruitment took place from September to November 2016–2018, and March to May 2018. Data from 19 music students and 50 controls were analyzed (n = 69). No sample size calculation was conducted for this pilot feasibility study. Ethics approval was obtained from the university’s health research ethics board. Assessment instruments, required equipment, and details about recruitment and incentives are described in the Additional file 1: (S1–4).

Statistical analysis

IBM SPSS version 25 and Microsoft Excel 2013 were used to analyze data, with alpha set at p < 0.05. Most characteristics were not normally distributed, so when comparing music students to controls, Mann–Whitney U (continuous) and Chi-square (categorical) tests were employed. Preliminary analyses showed that music and control groups were comparable in terms of age and gender, so data were not adjusted for these variables. Effect size r was calculated by dividing the z-value by square root of N [18].


General demographics

Gender distribution was similar in both groups, with 68.40% female among music students and 62.00% in controls. Average course load in hours per week for music students and controls was 18.87 + 3.30 and 18.64 + 5.20, respectively. In addition, music students spent an average of 24.76 (SD 9.898) hours playing either their primary or secondary instrument.

Music students’ self-reported health behaviour scores were significantly lower than controls for nutrition (p = 0.022) and physical activity (p = 0.001). Participants were grouped into those who reported physical activity (PA) at/above the suggested 90 min per week [19], and those who reported lower PA. Analysis showed that musicians were significantly less likely to engage in PA (χ2 = 6.25, p = 0.016, OR 4.20). Both groups were comparable for the remaining characteristics (see Table 1).

Table 1 General demographics

Self-reported mental health

Music students had lower mental health scores in all three domains of the DASS-21 [20,21,22]. However, only the stress domain was statistically different (p = 0.043). Female students' scores were lower, however, this difference was not statistically significant (see Fig. 1). Over half of the tested music students (63.60%) scored above the suggested cut-off of 84 on the KMPAI-R [23,24,25], indicating more severe symptoms of Music Performance Anxiety, with a mean score of 94.27 (+56.64).

Fig. 1
figure 1

Frequency (%) of symptomatic participants by DASS21 domain

Self-reported quality of life (RAND 12 [26, 27])

Differences between music students and controls were statistically significant for Body Pain (p = 0.004) and approached significance for General Health (p = 0.053) (see Additional file 1: S5). No other differences were significant.


The 7-day point prevalence of playing-related musculoskeletal problems (PRMP) as reported on the MPIIQM [28, 29] was 31.58%, whereas lifetime prevalence was 68.42%. The most prevalent pain location was the right forearm (N = 4). Right wrist, shoulder–neck region, and left and right hand (N = 3, respectively) were the next most frequently reported. Participants reported a mean pain intensity of 4.06 on a Likert scale of 0–10. Mean pain interference was 8.53 on a scale of 0–10.


There were no significant ROM differences between music student participants and controls. Furthermore, participants' ROM did not differ significantly from the norms (see Additional file 1: S6). Hand span was not statistically significantly different between music students and controls; however, music students did have larger hand span for all four measurements (digit one-to-five and two-to-five on both hands). Both the Beighton score [30] and Sitting-Rising Test [31, 32] did not show significant differences between music students and controls.


Music students had lower mechanical pressure pain threshold for every testing point (see Additional file 1: S7). Females had consistently lower pain thresholds than males, but these were not statistically significant.

Core strength

Musicians demonstrated lower core strength; all but the left plank were significantly different. It is noteworthy that the control group also performed below the norm [33] (see Table 2).

Table 2 Core endurance


Primary goal: feasibility

Acceptability, integration and expansion [17]: Despite our best recruitment efforts described in the Additional file 1: (S1–4), this study had a small number of music student participants, which reduces statistical power. There may be several explanations, including lab distance from the music building (15 min walk) and protocol length (70 min). Some standardized tests could be completed by participants prior to a visit, which would reduce the assessment time to 45 min. In Germany, all music students attend the university physiotherapy clinic at the beginning of their program. Program culture and ethics requirements in Canada meant that we were reliant on students' goodwill and gift card incentives to encourage participation. A cultural change towards health promotion in schools of music in North America has been recommended [34, 35], and is supported in Canadian curriculum guidelines [36]. Such a change could result in campus partnerships like the one in Germany, which could increase research participation.

Implementation and practicality [17]: The results show that the protocol is feasible in a Canadian setting. Assessment tools were available in English, which is the official language of communication at this university. In other institutions, assessment tools would need to be available in French. Equipment required for administration is typically available in Canadian physio- and occupational therapy programs, with a few small exceptions. Some programs may not have access to a cervical range of motion (CROM) device or an algometer, as these are not in common use in Canadian practice. Studies have shown that goniometry can estimate CROM almost as well as the device, so the CROM may not be necessary [37]. We did have to purchase straps to secure participants to our folding massage table (plinth) (see Additional file 1: S7). We found that the protocol was easily conducted in our university lab. If this assessment protocol were administered on-site, it would require extra time to transport and set up the equipment. Such on-site assessment might enhance recruitment in future studies.

Physio- and occupational therapists in Canada are trained to assess range of motion and strength, typically in the first year of training. We found that this training, plus an additional 2 h to review skills and specific tests in this protocol (e.g. planks; hand span measurement), was sufficient for both professionals and second-year occupational therapy students to conduct these assessments competently. Less time might be required for training experienced clinicians.

Adaptation [17]: Our procedures were adapted during data collection. For example, we learned during our study that the parent study had introduced general pain ratings. We therefore had missing data from earlier participants for this parameter. After the first cohort, we learned that a revised version of the Kenny Music Performance Inventory which had not been published in English was being used in the parent study. We therefore adopted the revised version. Hence, the first cohort completed an earlier version (KMPAI), for which no cut-off scores are available [38]. These data were therefore excluded from analysis.

Secondary goal: compare music students to controls

The data show that Canadian music students have poorer mental and physical health than non-music controls. Longitudinal analysis is ongoing in Germany, and no in-depth comparative analysis between this study and the parent study has yet been conducted. However, we can report that Canadian music student participants had similar health profiles to the German participants [39]. In addition, the most common pain locations are consistent with a recent publication from the German parent study [40]. Despite our small sample size, these consistencies with the parent study lend credibility to our findings.

Music and control students in our study reported similar numbers of course hours per week. However, music students spent an average of 13.76 additional hours per week on personal practice. We speculate that this might partly explain why music students spent less time on physical activity. Additionally, our findings of worse self-reported nutrition, less sleep (Table 1), and higher stress (Fig. 1) might be contributing to poorer health among music students.

The 7-day PRMP point prevalence of 31.58% and lifetime prevalence of 68.42% in our sample, reported on the MPIIQM, were lower than in a study by Berque and colleagues [41]. Since their research was conducted with professional musicians, this may reflect differences between students and professionals which should be examined in future research.

Music students in our study had lower pressure pain threshold on all 18 testing points and a higher mean mechanosensitivity (p = 0.029). These music students also reported more stress and anxiety. A link between stress and pain has been suggested [12, 42]. This is an important new finding, and further research is needed. Furthermore, significant differences in mechanosensitivity were located in the forearm, left supraspinatus, and left trapezius, which are often active during instrumental performance [43, 44]. The most common symptom location reported on the MPIIQM was wrist extensors, likely reflecting activity in instrumental performance [43, 44].

The RAND 12 scores were not statistically different between musicians and controls, except for the Body Pain domain. General Health approached significance, and should be repeated in a study with more participants. The MCS scores of music students and controls were not significantly different; however, the difference of 5.77 points was higher than the minimal clinically significant difference [45, 46]. Compared to SF-36 Canadian normative data [47], both music students and controls had lower MCS scores than the norms. The literature suggests that MCS and PCS scores on the SF-12 v2 (questions are equivalent to RAND 12) are comparable to SF-36 scores [48,49,50], and thus, this comparison is likely valid. In addition, the mean performance anxiety score of our participants was well above the suggested cut-off score of 84 points [23]. The large variability in the KMPAI-R scores of participants in our study implies the need for a larger sample to verify this finding.

Participants who reported higher levels of stress and mechanosensitivity also reported higher Bodily Pain scores. Additionally, music students in our study engaged in significantly less Physical Activity (PA) and reported a lower pain threshold. This is consistent with the literature, which suggests that PA has a beneficial effect on pain threshold [51, 52], This finding must be viewed with caution because the RAND 12 is a self-report measure. Kreutz et al. have demonstrated that music students' self-report of their health is more optimistic than objective findings [53]. Clinicians must therefore be cautious when assessing musicians' health through self-report.

The research literature suggests gender differences in several of the measured outcomes in professional musicians [13, 54]. A preliminary analysis in this study showed a tendency for females to report poorer physical and mental health outcomes. However, these results were not statistically significant and need to be studied further, particularly given the limitations of questions related to gender used in the original German study and others [55].


Our study has demonstrated that the protocol developed by our German colleagues is feasible in a Canadian population. We have also demonstrated differences between the health of post-secondary music and non-music students in Canada. Future studies with larger sample sizes can provide further insight into the effectiveness of this assessment protocol for Canadian music students.


Like much research in this field, our study used a cross-sectional design [10, 11, 13, 56]. A longitudinal component could be an important addition in future studies to better understand the development of music-related health conditions, or to disentangle the interaction between mental and physical health. Our study could also have been improved with a larger sample size. Such larger studies could, for example, address the assessment of instrument-specific movements and postures. It could also have been improved with intra- and interrater reliability testing, which could enhance the quality of data collected with such protocols in future.

Availability of data and materials

The dataset supporting the conclusions of this article is included within the article and its additional file. Additional data contains sensitive health information and is unfortunately not available to share outside of the research team, as we do not have ethics approval to share the data.





Occupational therapy






Doctor of Philosophy


Canadian Association of Occupational Therapists


Playing-related musculoskeletal disorders


Playing-related musculoskeletal problems


Range of Motion


The 12-question version of the RAND Corporation quality of life measure




Depression Anxiety Stress Scales, 21-question version




Kenny Music Performance Anxiety Inventory—revised


Musculoskeletal Pain Intensity and Interference Questionnaire for Musicians


Physical Activity


Odds Ratio


Mental Composite Score (of the RAND-12)


Physical Composite Score (of the RAND-12)


  1. Zaza C, Charles C, Muszynski A. The meaning of playing-related musculoskeletal disorders to classical musicians. Soc Sci Med. 1998;47(12):2013–23.

    Article  PubMed  CAS  Google Scholar 

  2. Steinmetz A, Moller H, Seidel W, Rigotti T. Playing-related musculoskeletal disorders in music students-associated musculoskeletal signs. Eur J Phys Rehabil Med. 2012;48(4):625–33.

    PubMed  CAS  Google Scholar 

  3. Zaza C. Playing-related health problems at a Canadian music school. Med Probl Perf Art. 1992;7:48–51.

    Google Scholar 

  4. Matei R, Ginsborg J. Physical activity, sedentary behavior, anxiety, and pain among musicians in the United Kingdom. Front Psychol. 2020.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Wood JC. Prevalence, risk factors, and effects of performance-related medical disorders (PRMD) among tertiary-trained jazz pianists in Australia and the United States. Med Probl Perf Art. 2014;29(1):37–45.

    Article  Google Scholar 

  6. Araujo LS, Wasley D, Perkins R, Atkins L, Redding E, Ginsborg J, Williamon A. Fit to perform: an investigation of higher education music students’ perceptions, attitudes, and behaviors toward health. Front Psychol. 2017.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Wristen BG. Depression and anxiety in university music students. Update Appl Res Music Edu. 2013;31(2):20–7.

    Article  Google Scholar 

  8. Koops LH, Kuebel CR. Self-reported mental health and mental illness among university music students in the United States. Res Stud Music Educ. 2019;43(2):129–43.

    Article  Google Scholar 

  9. Brugues AO. Music performance anxiety—part 1: a review of its epidemiology. Med Probl Perform Art. 2011;26(2):102–5.

    Article  PubMed  Google Scholar 

  10. Cruder C, Barbero M, Koufaki P, Soldini E, Gleeson N. Prevalence and associated factors of playing-related musculoskeletal disorders among music students in Europe: baseline findings from the Risk of Music Students (RISMUS) longitudinal multicentre study. PlosONE. 2020.

    Article  Google Scholar 

  11. Stanhope J, Pisaniello D, Tooher R, Weinstein P. How do we assess musicians’ musculoskeletal symptoms? A review of outcomes and tools used. Ind Health. 2019;57(4):454–94.

    Article  PubMed  Google Scholar 

  12. Ballenberger N, Möller D, Zalpour C. Musculoskeletal health complaints and corresponding risk factors among music students. Med Probl Perform Art. 2018;33:166–74.

    Article  PubMed  Google Scholar 

  13. Baadjou VAE, Roussel NA, Verbunt JAMCF, Smeets RJEM, de Bie RA. Systematic review: risk factors for musculoskeletal disorders in musicians. Occup Med. 2016.

    Article  Google Scholar 

  14. Leaver R, Harris EC, Palmer KT. Musculoskeletal pain in elite professional musicians from British symphony orchestras. Occ Med. 2011;61(8):549–55.

    Article  CAS  Google Scholar 

  15. Kenny D, Ackermann B. Performance-related musculoskeletal pain, depression and music performance anxiety in professional orchestral musicians: a population study. Psychol Music. 2013;43(1):43–60.

    Article  Google Scholar 

  16. Thabane L, Ma J, Chu R, Cheng J, Ismaila A, Rios LP, Goldsmith CH. A tutorial on pilot studies: the what, why and how. BMC Med Res Methodology. 2010;10:1–10.

    Article  Google Scholar 

  17. Bowen DJ, Kreuter M, Spring B, Cofta-Woerpel L, Linnan L, Weiner D, Bakken S, Kaplan CP, Squiers L, Fabrizio C, Fernandez M. How we design feasibility studies. Am J Prev Med. 2009;36(5):452–7.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Pallant J. SPSS survival manual. 4th ed. Berkshire, Maidenhead: McGraw Hill; 2011.

    Google Scholar 

  19. Canadian Society for Exercise Physiology. Canadian Physical Activity Guidelines (n.d.). Accessed 22 Aug 2019.

  20. Osman A, Wong JL, Bagge CL, Freedenthal S, Gutierrez PM, Lozano G. The depression anxiety stress scales—21 (DASS-21): further examination of dimensions, scale reliability, and correlates. J Clin Psychol. 2012;68(12):1322–38.

    Article  PubMed  Google Scholar 

  21. Henry JD, Crawford JR. The short-form version of the Depression Anxiety Stress Scales (DASS-21): construct validity and normative data in a large non-clinical sample. Br J Clin Psychol. 2005;44(Pt 2):227–39.

    Article  PubMed  Google Scholar 

  22. Lovibond PF, Lovibond SH. The structure of negative emotional states: comparison of the depression anxiety stress scales (DASS) with the Beck depression and anxiety inventories. Behav Res Ther. 1995;33:335–43.

    Article  CAS  Google Scholar 

  23. Kenny D. Epidemiology of music performance anxiety. The psychology of music performance anxiety. 1st ed. Oxford: Oxford University Press; 2011. p. 83–107.

    Book  Google Scholar 

  24. Kenny D. Music performance anxiety: theory, assessment and treatment. Saarbrücken: LAP Lambert Academic Publishing; 2016. p. 43–59.

    Google Scholar 

  25. Kenny D. Kenny Music Performance Anxiety Inventory (KMPAI-R) and scoring form.

  26. Johnson JA, Maddigan SL. Performance of the RAND-12 and SF-12 summary scores in type 2 diabetes. Qual Life Res. 2004;13:449–56.

    Article  PubMed  Google Scholar 

  27. Cheak-Zamora NC, Wyrwich KW, McBride TD. Reliability and validity of the SF-12v2 in the medical expenditure panel survey. Qual Life Res. 2009;18(6):727–35.

    Article  PubMed  Google Scholar 

  28. Berque P, Gray H, McFadyen A. Development and psychometric evaluation of the Musculoskeletal Pain Intensity and Interference Questionnaire for professional orchestra musicians. Man Ther. 2014;19(6):575–88.

    Article  PubMed  Google Scholar 

  29. Berque P. The Musculoskeletal Pain Intensity and Interference Questionnaire for Musicians (MPIIQM) User Guide. Musicians' Health Scotland; 2014.

  30. Beighton PH, Grahame R, Bird H. Hypermobility of joints. 4th ed. London: Springer; 2012.

    Book  Google Scholar 

  31. Brito LBB, de Araújo DSMS, de Araújo CGS. Does flexibility influence the ability to sit and rise from the floor? Am J Phys Med and Rehabil. 2013;92(3):241–7.

    Article  Google Scholar 

  32. Ng SS, Fong SS, Chan WL, Hung BK, Chung RK, Chim TH, Chung RC. The sitting and rising test for assessing people with chronic stroke. J Phys Ther Sci. 2016;28(6):1701–8.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Durall CJ, Greene PF, Kernozek TW. A comparison of two isometric tests of trunk flexor endurance. J Strength Conditioning Res. 2012;26(7):1939–44.

    Article  Google Scholar 

  34. Chesky K, Dawson WJ, Manchester R. Health promotion in schools of music. Med Probl Perform Art. 2006;21:142–4.

    Article  Google Scholar 

  35. Baadjou VA, Wijsman SI, Ginsborg J, Guptill C, de Lisle R, Rennie-Salonen B, Visentin P, Ackermann BJ. Health education literacy and accessibility for musicians: a global approach. Report from the Worldwide Universities Network project. Med Probl Perform Art. 2019;34(2):105–7.

    Article  PubMed  Google Scholar 

  36. Canadian University Music Society (MusCan). Standing Committee of Institutional Members: Guidelines (Revised May 2014). 2014.

  37. Whitcroft KL, Massouh L, Amirfeyz R, Bannister G. Comparison of methods of measuring active cervical range of motion. Spine. 2010.

    Article  PubMed  Google Scholar 

  38. Kenny DT, Davis P, Oates J. Music performance anxiety and occupational stress amongst opera chorus artists and their relationship with state and trait anxiety and perfectionism. Anxiety Disord. 2004;18:757–77.

    Article  Google Scholar 

  39. Ballenberger N, Möller D, Guptill C, Bruder J, Zalpour C. Occurrence of musculoskeletal health complaints and associated risk factors in music students and non-music students—interim results from an ongoing cohort study. Presentation at: 2nd World congress on Musician's Physiotherapy, Osnabrück: University of Applied Sciences Osnabrueck; 2018.

  40. Zalpour C, Ballenberger N, Avermann F. A physiotherapeutic approach to musicians’ health—data from 614 patients from a physiotherapy clinic for musicians (INAP/O). Front Psychol. 2021.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Berque P, Gray H, McFadyen A. Playing-related musculoskeletal problems among professional orchestra musicians in Scotland. Med Probl Perform Art. 2016.

    Article  PubMed  Google Scholar 

  42. Zamorano AM, Riquelme I, Kleber B, Altenmüller E, Hatem SM, Montoya P. Pain sensitivity and tactile spatial acuity are altered in healthy musicians as in chronic pain patients. Front Hum Neurosci. 2015.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Oikawa N, Tsubota S, Chikenji T, Chin G, Aoki M. Wrist positioning and muscle activities in the wrist extensor and flexor during piano playing. Hong Kong J Occup Ther. 2018.

    Article  Google Scholar 

  44. Fujii S, Moritani T. Spike shape analysis of surface electromyographic activity in wrist flexor and extensor muscles of the world’s fastest drummer. Neurosci Lett. 2012;514(2):185–8.

    Article  PubMed  CAS  Google Scholar 

  45. Díaz-Arribas MJ, Fernández-Serrano M, Royuela A, Kovacs FM, Gallego-Izquierdo T, Ramos-Sánchez M, Martín-Pariente OS. Minimal clinically important difference in quality of life for patients with low back pain. Spine. 2017;42(24):1908–16.

    Article  PubMed  Google Scholar 

  46. Nwachukwu BU, Chang B, Voleti PB, Berkanish P, Cohn MR, Altchek DW, Williams 3rd, RJ. Preoperative short form health survey score is predictive of return to play and minimal clinically important difference at a minimum 2-year follow-up after anterior cruciate ligament reconstruction. Am J Sports Med. 2017; 45(12): 2784–2790.

  47. Hopman WM, Towheed T, Anastassiades T, Tenenhouse A, Poliquin S, Berger C, Hanley DA. Canadian normative data for the SF-36 health survey. CMAJ. 2000;163:265–71.

    PubMed  PubMed Central  CAS  Google Scholar 

  48. Gandek B, Ware JE, Aaronson NK, Apolone G, Bjorner JB, Brazier JE, et al. Cross-validation of item selection and scoring for the SF-12 Health Survey in nine countries: results from the IQOLA Project. International Quality of Life Assessment. J Clin Epidemiol. 1998;51:1171–8.

    Article  CAS  Google Scholar 

  49. Wee CC, Davis RB, Hamel MB. Comparing the SF-12 and SF-36 health status questionnaires in patients with and without obesity. Health Qual Life Outcomes. 2008;6:11.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Lacson E Jr, Xu J, Lin SF, Dean SG, Lazarus JM, Hakim RM. A comparison of SF-36 and SF-12 composite scores and subsequent hospitalization and mortality risks in long-term dialysis patients. Clin J Am Soc Nephrol. 2010;5(2):252–60.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Geneen LJ, Moore RA, Clarke C, Martin D, Colvin LA, Smith BH. Physical activity and exercise for chronic pain in adults: an overview of cochrane reviews. Cochrane Database Syst Rev. 2017;1(1):CD011279.

    Article  PubMed  Google Scholar 

  52. Jakobsen MD, Sundstrup E, Brandt M, Andersen LL. Effect of physical exercise on musculoskeletal pain in multiple body regions among healthcare workers: secondary analysis of a cluster randomized controlled trial. Musculoskeletal Sci Pract. 2018;34:89–96.

    Article  Google Scholar 

  53. Kreutz G, Ginsborg J, Williamon A. Health-promoting behaviours in conservatoire students. Psychol Music. 2009;37(1):47–60.

    Article  Google Scholar 

  54. Ackermann BJ, Kenny DT, O’Brien I, Driscoll TR. Sound practice—improving occupational health and safety for professional orchestral musicians in Australia. Front Psychol. 2014.

    Article  PubMed  PubMed Central  Google Scholar 

  55. Slade T, Gross DP, Niwa L, McKillop A, Guptill C. Sex and gender demographic questions: improving methodological quality, inclusivity, and ethical administration. Int J Social Res Methodol. 2020.

    Article  Google Scholar 

  56. Rotter G, Noeres K, Fernholz I, Willich SN, Schmidt A, Berghöfer A. Musculoskeletal disorders and complaints in professional musicians: a systematic review of prevalence, risk factors, and clinical treatment effects. Int Arch Occup Environ Health. 2020;93(2):149–87.

    Article  PubMed  CAS  Google Scholar 

  57. McGill SM. Low back disorders: evidence-based prevention and rehabilitation. Champaign: Human Kinetics; 2015.

    Google Scholar 

  58. Latimer J, Maher CG, Refshauge K, Colaco I. The reliability and validity of the Biering-Sorensen test in asymptomatic subjects and subjects reporting current or previous nonspecific low back pain. Spine. 1999;24(20):2085–9.

    Article  PubMed  CAS  Google Scholar 

  59. Hicks GE, Fritz JM, Delitto A, Mishock J. Interrater reliability of clinical examination measures for identification of lumbar segmental instability. Arch Phys Med and Rehabil. 2003.

    Article  Google Scholar 

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Interim reports of this study were presented at the Canadian Association of Occupational Therapists (CAOT) Annual Conference 2018 in Vancouver and at the CAOT Annual Conference 2019 in Niagara Falls. This manuscript has not been published nor is it currently submitted for publication elsewhere. We would like to acknowledge the support of Fatima Al Sayah at the Alberta PROMs and EQ-5D Research and Support Unit (APERSU), for assistance with statistical analysis and data interpretation. All authors have approved the manuscript for submission.


This study did not receive any external funding. No other financial arrangements or organizational affiliations are present.

Author information

Authors and Affiliations



JB wrote the initial draft of paper. Initial work for this study was conducted in partial fulfillment of JB’s degree of BSc (Physiotherapy) at Hochschule Osnabrück, Germany, supervised by CZ. NB is lead author of the German longitudinal parent study. NB and CZ developed the protocol in Germany, and supported translation/transition to Canadian setting. JB, ZP and CG advertised/recruited across campus. BV, CH, KM and ZP conducted data collection and entry. BV and CH assisted with data analysis. NB and CG supported data analysis. JB and BV presented preliminary results. NB, CZ, and CG contributed to writing of the manuscript. AM and MH contributed to editing and preparation of the manuscript. CG was primary supervisor in Canada. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Christine Guptill.

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Ethics approval and consent to participate

This study has been approved by the Human Research Ethics Board at the University of Alberta (name: Music Cohort, ID: Pro00067359). All participants gave written, informed consent before the start of testing, and the protocol adhered to ethical standards for human subjects.

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Not applicable.

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The authors declare that there are no competing interests.

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Supplementary Information

Additional file 1.

Participant Questionnaire.

Additional file 2: S1

. Paper-based assessments. S2. Physical Assessments. S3. Equipment required for assessment protocol. S4. Additional details regarding recruitment and inclusion/exclusion criteria. S5. RAND12 results for total sample and by cohort. S6. Range of motion. S7. Mechanosensitivity, measured by mechanical pressure pain threshold.

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Bruder, J., Ballenberger, N., Villas, B. et al. MusicCohort: Pilot feasibility of a protocol to assess students’ physical and mental health in a Canadian post-secondary school of music. BMC Res Notes 14, 441 (2021).

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