Characteristics and prevalence of musculoskeletal injury in professional and non-professional ballet dancers

Costa, Michelle; Ferreira, Arthur de Sá; Orsini, Marco; Silva, Elirez B.; Felício, Lilian Ramiro

doi:10.1590/bjpt-rbf.2014.0142

Cited by 51 publications

(51 citation statements)

References 24 publications

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“…In the present study, the foot and ankle was the most common site (40%), which falls within the range reported in previous studies (15-66%) [1]. In the present study, the knee was the third most commonly injured location (16%), falling within the range reported in previous studies (7-29%) [1][2][3][4][5][6]. Knee problems account for 14-20% of all complaints and > 50% of them are retropatellar (synovial plica, medial chondromalacia, lateral patellar facet syndrome, patellar subluxation, fat pad syndrome) in ballet dancers [7].…”

Section: Introductionsupporting

confidence: 89%

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Traumatic knee injury patterns in Anatolian folk dancers: a case series and literature review

Aksu¹,

Akgonul²,

Aksu³

et al. 2019

Int J Occup Med Environ Health

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Lower extremities, especially the knee region, are susceptible to traumatic injuries because of long-lasting hard landings and impacts. Most of the injuries described in the literature are associated with ballet. In this review study, the authors tried to present the traumatic knee injury patterns of the Anatolian folk dance. The Fire of Anatolia dance group consists of 82 dancers (37 males [45.1%] and 45 females [54.9%]) with the mean age of 27.96 (SD = 5.05) years (range: 18-38 years). The major folk dances of the region are Zeybek, Halay, Horon, Teke, Roman, Karsilama, Bar and Lezginka ("the Caucasian"). The dancers suffered from 9 orthopedic injuries requiring surgical treatment (3 meniscus tears, 4 anterior cruciate ligament tears, 1 posterior cruciate ligament tear, 1 patellar dislocation) during a 10-year period. The authors investigated solely the traumatic injuries of these folk dance styles and aimed at revealing the traumatic knee injury patterns in this case series and literature review. On the one hand, the Anatolian folk dancers experienced meniscus tears following frequent squats and twists on single leg stances, typical of Horon and Zeybek. On the other hand, anterior cruciate tears happened after jumps and landings in the Caucasian (Lezginka jump) dance. A posterior cruciate ligament tear was also seen after the Caucasian dance landing. The split figure in the Karsilama dance ended up with patellar dislocation. Certain dance figures seem to be related to specific types of injuries.

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Section: Introductionsupporting

confidence: 89%

“…Most of the injuries described in the literature are associated with ballet [1][2][3][4][5][6][7][8]. In the present study, the foot and ankle was the most common site (40%), which falls within the range reported in previous studies (15-66%) [1].…”

Section: Introductionsupporting

confidence: 79%

Traumatic knee injury patterns in Anatolian folk dancers: a case series and literature review

Aksu¹,

Akgonul²,

Aksu³

et al. 2019

Int J Occup Med Environ Health

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“…Furthermore, these methods are limited to the number of hours of training/performing and do not account for individual dancer training volume or specific movements. In quantifying training volume, specific movements likely to be provocative of pain should be considered [6], such as jumping and landing, which has been associated with development of foot/ankle, knee and lower back pain [7,8], and lifting the leg to the front, side or behind the body, which has been associated with hip and lower back pain [9]. Accurate and detailed measurement of a dancer's training volume is a key requirement in understanding the relationship between training volume and pain disorders.…”

Section: Introductionmentioning

confidence: 99%

Development of a Human Activity Recognition System for Ballet Tasks

et al. 2020

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Background: Accurate and detailed measurement of a dancer's training volume is a key requirement to understanding the relationship between a dancer's pain and training volume. Currently, no system capable of quantifying a dancer's training volume, with respect to specific movement activities, exists. The application of machine learning models to wearable sensor data for human activity recognition in sport has previously been applied to cricket, tennis and rugby. Thus, the purpose of this study was to develop a human activity recognition system using wearable sensor data to accurately identify key ballet movements (jumping and lifting the leg). Our primary objective was to determine if machine learning can accurately identify key ballet movements during dance training. The secondary objective was to determine the influence of the location and number of sensors on accuracy.Results: Convolutional neural networks were applied to develop two models for every combination of six sensors (6, 5, 4, 3, etc.) with and without the inclusion of transition movements. At the first level of classification, including data from all sensors, without transitions, the model performed with 97.8% accuracy. The degree of accuracy reduced at the second (83.0%) and third (75.1%) levels of classification. The degree of accuracy reduced with inclusion of transitions, reduction in the number of sensors and various sensor combinations. Conclusion: The models developed were robust enough to identify jumping and leg lifting tasks in real-world exposures in dancers. The system provides a novel method for measuring dancer training volume through quantification of specific movement tasks. Such a system can be used to further understand the relationship between dancers' pain and training volume and for athlete monitoring systems. Further, this provides a proof of concept which can be easily translated to other lower limb dominant sporting activities Key PointsDeep learning models were shown to have acceptable accuracy when applied to recognised ballet-specific jumping and leg lifting tasks in a population of 23 dancers. A system of multiple sensors (six per dancer) was shown to have the greatest accuracy; however, the optimal single sensor model also performed with acceptable accuracy. The inclusion of all six sensors yielded the highest degree of accuracy: however, fewer sensors still provided an acceptable degree of accuracy. For real-world application, minimal sensors are required to reduce athlete burden. The method demonstrated for model development is highly translatable for future developments in other lower limb dominant sporting activities.

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“…Specifically, lower extremity injuries are the most common type of injury in dancers, with studies reporting up to 57% of injury distribution related to the foot and ankle. 8 Most classical-based styles of dance, such as ballet, jazz, modern, and contemporary, include relevé (meaning "raised") in a demi-pointe (on the ball of the foot) or fully en point (on the tips of the toes), in which dancers are required to sustain plantarflexion at a high degree and frequency. For young performers, transitioning to dance en pointe represents a significant step toward dancing on an elite level.…”

mentioning

confidence: 99%

“…Dance continues to be a popular sport and recreational activity that places extreme physical demands on the body, particularly on the foot and ankle. Various reviews 8 , 16 , 28 , 29 have highlighted the unique musculoskeletal injuries caused by the training and performance to which the dancers are predisposed. Specifically, lower extremity injuries are the most common type of injury in dancers, with studies reporting up to 57% of injury distribution related to the foot and ankle.…”

mentioning

confidence: 99%

Surgical Outcomes of Os Trigonum Syndrome in Dancers: A Case Series

Walsh

Durante

Moser

et al. 2020

Orthopaedic Journal of Sports Medicine

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Background: Management of ankle pain in dancers can be challenging because of the repetitive stress and complex demands placed on this region. Despite the prevalence of ankle injuries in this population, literature on surgical outcomes and return to dance is limited. Purpose: To retrospectively evaluate the efficacy and functional outcomes after surgical excision of a symptomatic os trigonum in dancers. Study Design: Case series; Level of evidence, 4. Methods: Between June 2006 and June 2016, a total of 44 dancers underwent surgical excision of a symptomatic os trigonum at a single institution and by a single surgeon. All patients presented with symptoms of posterior ankle impingement syndrome and subsequently failed nonsurgical treatment. Clinical analysis was conducted using various pre- and postoperative patient-reported outcome questionnaires, including the Veterans RAND 12-Item Health Survey (VR-12), Foot Function Index–Revised (FFI-R), and visual analog scale (VAS) for pain, as well as subjective patient satisfaction. Results: A total of 44 patients (54 ankles; mean age, 18.2 years) were retrospectively evaluated at a mean follow-up of 33.4 months. The VR-12 Physical Health score improved from a mean score of 37.8 ± 11.9 to 51.2 ± 10.5 ( P < .001). The cumulative FFI-R score improved from 46.45 ± 13.8 to 31.2 ± 9.7 ( P = .044), with the subcategory of “activity limitation” representing the highest-scoring FFI-R subcategory at 65.28 ± 13.4 preoperatively and improving to 34.47 ± 12.4 at follow-up ( P < .001). The mean VAS score for subjective pain improved significantly from 5.39 ± 2.84 to 1.73 ± 2.10 ( P < .00044). Conclusion: Overall, the findings of the present study demonstrate that dancers of varying style and level improved significantly according to various clinical measures. Patients included in this study reported that they returned to their previous level of dance upon completion of physical therapy and maintained thriving postoperative careers, which for several meant dancing at the professional level.

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Characteristics and prevalence of musculoskeletal injury in professional and non-professional ballet dancers

Cited by 51 publications

References 24 publications

Traumatic knee injury patterns in Anatolian folk dancers: a case series and literature review

Traumatic knee injury patterns in Anatolian folk dancers: a case series and literature review

Development of a Human Activity Recognition System for Ballet Tasks

Surgical Outcomes of Os Trigonum Syndrome in Dancers: A Case Series

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