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BACKGROUND: Muscle fatigue seems to be a risk factor in the development of performance-related musculoskeletal disorders (PRMDs) in musicians, but it is unclear how muscle activity characteristics change between musicians with and without PRMDs over a prolonged playing period.
PURPOSE: To investigate muscle activity patterns in muscles of the arms, shoulder, and back of high string musicians during prolonged performance.
METHODS: Fifteen professional or university high string musicians were divided into PRMD and non-PRMD groups. All musicians played a chromatic scale, then an individual “heavy” piece for 1 hr, and finally the chromatic scale again. Surface electromyography (sEMG) data were recorded from 16 muscles of the arm, shoulder, and trunk on both sides of the body. Two parameters were analyzed: the percentage load in relation to the respective maximum force during the chromatic scale, and the low-frequency spectrum to determine the fatigue behavior of muscles during the 1-hr play.
RESULTS: Changes in muscle activation patterns were observed at the beginning and end of the trial duration; however, these varied depending on whether musicians had PRMDs or no PRMDs. In addition, low-frequency spectrum changes were observed after 1 hr of playing in the PRMD musicians, consistent with signs of muscular fatigue.
CONCLUSION: Differences in muscle activity appear between high string musicians with and without PRMDs as well as altered frequency spectrum shifts, suggesting possible differential muscle fatigue effects between the groups. The applied sEMG analysis proved a suitable tool for detailed analysis of muscle activation characteristics over prolonged playing periods for musicians with and without PRMDs.
AIM: In this prospective longitudinal study, the physical and psychological health status of music students is assessed at the beginning of their university music study and tracked over time. Analysis strategies and interim results from the first-year cohort, including 1-year incidences, monthly prevalences, and predictors of developing musculoskeletal health complaints (MHC), are presented.
METHODS: This prospective longitudinal study is calculated to enlist a total sample of 370 participants, including musicians and non-musicians, over 5 years. Baseline measurements include a self-designed questionnaire, core strength endurance, hypermobility, finger-floor-distance, motor control, mechanosensitivity, health-related quality of life (SF36), and stress and coping inventory (SCI). The occurrence of MHC is based on monthly online questionnaires.
RESULTS: The first-year subcohort enrolled 33 music students and 30 non-music control students. The mean monthly completion rate for the questionnaire was 55.7±8.7%. At baseline, music students showed significantly more stress symptoms, reduced physical function¬ing, and increased bodily pain compared to control students. The 1-year incidence of MHC was 59% for music students and 44% for controls. Risk factors for MHC included being a music student, previous pain, reduced physical functioning, stress symptoms, reduced emotional functioning, and mechanosensitivity. Being a music student, physical functioning, sleep duration, positive thinking, and general mechanosensitivity had a predictive ability of 0.77 (ROC curve) for MHC.
CONCLUSION: A total of 63 students enrolled in the first cohort is in line with the precalculated sample size. This prospective study design enables the measurement of MHC incidence and provides insight into mechanisms in the development of MHC among music students, including the interaction of physical, psychological, and psychosocial factors.