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BACKGROUND/AIMS: Research in music medicine has reported incidence rates of musculoskeletal disorders of approx. 70% in instrumental musicians. String players have the highest risk, with rates of performance-related musculoskeletal disorders (PRMDs) of 65% to 88%. Playing the violin or viola requires complex neuromusculoskeletal skills, and the high frequency of repetitive movements, dynamic and static muscle load, awkward postures, poor technique, and practice time are factors causing musculoskeletal strain. In ergonomic terms, these disorders can be categorized based on extrinsic and intrinsic loads. Identification of intrinsic loads, such as muscle utilization and joint motion, is necessary to understand factors influencing musculoskeletal disorders associated with violin playing. The aim of this study was to review the literature on musculoskeletal demands in violin and viola playing.
METHODS: A literature search was conducted in the PubMed, COCHRANE, and CINAHL electronic databases from 1999 to 2015 using the search terms violin, viola, high strings, movement, posture, and synonyms. A manual search of Medical Problems of Performing Artists was also conducted. Additional references were identified by searching the citations and reference lists of all identified relevant studies. RESULTS: The results suggest that an asymmetric playing posture, the associated muscle activity, and joint mobility may contribute to musculoskeletal problems in violin and viola players. Evidence suggests an increased load of intrinsic factors in violin/viola performance.
CONCLUSION: The identification of intrinsic loads in violin and viola playing may facilitate the development of prevention strategies and interventions.
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.
OBJECTIVE: The aim of the study was to identify and systematically categorize musculoskeletal assessments used in quantitatively based studies about posture and movement in musicians playing high string instruments (violin, viola) in order to inform further research and help to identify gaps in knowledge.
METHODS: A systematic literature search was conducted in the databases Cochrane, CINAHL, and PubMed as well as the journal Medical Problems of Performing Artists. Additional studies were searched within the reference lists of relevant articles. Sixty-four studies conducted since 1999 until May 2017 were included according to predefined inclusion criteria.
RESULTS: Various biomechanical measurement instruments were used in 24 of the selected studies in order to collect two- and three-dimensional kinematic data: optoelectronic systems with active and passive markers, electromagnetic systems, ultrasonic motion analysis systems, and image-based analysis of posture. In 11 studies, kinetics were measured by optoelectronic systems, force sensors, and a posturographic device. Further studies used electromyography to evaluate muscle activity (19 studies) as well as instruments to measure range of motion (2 studies). Additionally, a broad range of clinical examination techniques (35 studies) and self-reports (36 studies) were used to assess the musculoskeletal system of high string players.
CONCLUSION: The identified assessments could be used both in further research and in practical work in order to evaluate posture and movement in high string players. For future research, qualitatively based studies as well as psychometrically tested quantitatively based self-report assessments are required.
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Background
Osteoarthritis of the knee is the most common cause for disability and limited mobility in the elderly, with considerable individual suffering and high direct and indirect disease-related costs. Nonsurgical interventions such as exercise, enhanced physical activity, and self-management have shown beneficial effects for pain reduction, physical function, and quality of life (QoL), but access to these treatments may be limited. Therefore, home therapy is strongly recommended. However, adherence to these programs is low. Patients report lack of motivation, feedback, and personal interaction as the main barriers to home therapy adherence. To overcome these barriers, electronic health (eHealth) is seen as a promising opportunity. Although beneficial effects have been shown in the literature for other chronic diseases such as chronic pain, cardiovascular disease, and diabetes, a systematic literature review on the efficacy of eHealth interventions for patients with osteoarthritis of knee is missing so far.
Objective
The aim of this study was to compare the efficacy of eHealth-supported home exercise interventions with no or other interventions regarding pain, physical function, and health-related QoL in patients with osteoarthritis of the knee.
Methods
MEDLINE, CENTRAL, CINAHL, and PEDro were systematically searched using the keywords osteoarthritis knee, eHealth, and exercise. An inverse variance random-effects meta-analysis was carried out pooling standardized mean differences (SMDs) of individual studies. The Cochrane tool was used to assess risk of bias in individual studies, and the quality of evidence across studies was evaluated following the Grading of Recommendations, Assessment, Development, and Evaluation approach.
Results
The literature search yielded a total of 648 results. After screening of titles, abstracts, and full-texts, seven randomized controlled trials were included. Pooling the data of individual studies demonstrated beneficial short-term (pain SMD=−0.31, 95% CI −0.58 to −0.04, low quality; QoL SMD=0.24, 95% CI 0.05-0.43, moderate quality) and long-term effects (pain −0.30, 95% CI −0.07 to −0.53, moderate quality; physical function 0.41, 95% CI 0.17-0.64, high quality; and QoL SMD=0.27, 95% CI 0.06-0.47, high quality).
Conclusions
eHealth-supported exercise interventions resulted in less pain, improved physical function, and health-related QoL compared with no or other interventions; however, these improvements were small (SMD<0.5) and may not make a meaningful difference for individual patients. Low adherence is seen as one limiting factor of eHealth interventions. Future research should focus on participatory development of eHealth technology integrating evidence-based principles of exercise science and ways of increasing patient motivation and adherence.
Background: Muscle fatigue has been reported as a risk factor for the
development of performance-related musculoskeletal disorders (PRMD) in
musicians. However, little research exists to support this claim. The aim of
this study was to investigate whether changes occur in muscle activity
patterns during high string performance over a prolonged playing period, and
whether this is influenced by PRMD.
Methods: High string musicians were divided into a PRMD and a non-PRMD
group. They played a chromatic scale pre and post and a self-chosen “hard”
(Borg scale 16-17) piece of music for one hour. Electromyography data
recorded from arm, shoulder and trunk muscles was analyzed: the amplitude
to measure muscle activity characteristics and the lower frequency to
measure muscle fatigue. Differences between and within groups and the
frequency spectrum were analyzed using linear mixed models.
Results: Fifteen musicians participated (7 PRMD: 22.8 years, 2 male/5 female
and 8 non-PRMD: 34.3 years, 2 male/6 female). Changes in muscle activation
patterns were observed between and within both groups, however changes
varied significantly depending on group affiliation. Significant low frequency
spectrum changes between groups were observed in overall muscles of the
right arm (p=0.04) and left forearm flexors (p=0.05) following one hour of
playing.
Conclusions: Muscle activity and frequency spectrum shifts differ in high
string musicians with and without PRMD, suggesting possible differential
muscle fatigue effects between the groups.