J Yeungnam Med Sci.  2024 Jul;41(3):196-206. 10.12701/jyms.2024.00171.

Factors associated with musculoskeletal pain in professional dancers, including lapse period of group practice due to the COVID-19 outbreak: repeated-measures analysis

Affiliations
  • 1Department of Preventive Medicine, Dongguk University College of Medicine, Gyeongju, Korea
  • 2Department of Occupational and Environmental Medicine, Dongguk University Gyeongju Hospital, Gyeongju, Korea
  • 3Department of Medicine, Graduate School of Kyungpook National University, Daegu, Korea
  • 4Department of Public Health, Yeungnam University Graduate School, Daegu, Korea
  • 5Department of Preventive Medicine and Public Health, Yeungnam University College of Medicine, Daegu, Korea

Abstract

Background
This study investigated the prevalence and associated factors of musculoskeletal pain among professional dancers who experienced a lapse in group practice due to coronavirus disease 2019.
Methods
General characteristics, practice time, region of musculoskeletal pain due to injury using the visual numeric scale (VNS), and causative motion were surveyed among professional dancers. Pain of VNS 0 to 3 was categorized as “no or minor,” 4 to 6 was categorized as “moderate,” and 7 to 10 was categorized as “severe.” The causal motions of musculoskeletal pain were analyzed according to body region. Factors other than motion associated with pain were also analyzed.
Results
In total, 368 participants were included. In the univariate analysis, age and practice time were positively associated with “moderate” pain. Practice time, dance experience, and postural accuracy were positively associated with “severe” pain, as was performing Korean traditional dance. In the multivariable analysis, practice time, group practice, and age were positively associated with pain of VNS 4 to 10, and practice time, group practice, and Korean traditional dance were positively associated with pain of VNS 7 to 10.
Conclusion
Among the factors related to dancer training, practice time, group practice, and dance type affect the occurrence of pain.

Keyword

Dancers; Mixed model; Musculoskeletal pain; Occupational diseases

Figure

  • Fig. 1. The pattern of association between practice time (hours per week) and musculoskeletal pain in the logistic regression model. (A) Expected probability of “moderate to severe” pain by practice time. (B) Odds ratio for “moderate to severe” pain by practice time. (C) Expected probability of “severe” pain by practice time. (D) Odds ratio for “severe” pain by practice time. “Moderate to severe” pain refers to pain of 4–10 on visual numeric scale (VNS). “Severe” pain refers to pain of 7–10 on VNS.


Reference

References

1. Hincapié CA, Morton EJ, Cassidy JD. Musculoskeletal injuries and pain in dancers: a systematic review. Arch Phys Med Rehabil. 2008; 89:1819–29.
2. Vassallo AJ, Trevor BL, Mota L, Pappas E, Hiller CE. Injury rates and characteristics in recreational, elite student and professional dancers: a systematic review. J Sports Sci. 2019; 37:1113–22.
3. Bronner S, Ojofeitimi S, Spriggs J. Occupational musculoskeletal disorders in dancers. Phys Ther Rev. 2003; 8:57–68.
4. Jacobs CL, Cassidy JD, Côté P, Boyle E, Ramel E, Ammendolia C, et al. Musculoskeletal injury in professional dancers: prevalence and associated factors: an international cross-sectional study. Clin J Sport Med. 2017; 27:153–60.
5. Ramel E, Moritz U. Self-reported musculoskeletal pain and discomfort in professional ballet dancers in Sweden. Scand J Rehabil Med. 1994; 26:11–6.
6. Ramel EM, Moritz U. Psychosocial factors at work and their association with professional ballet dancers’ musculoskeletal disorders. Med Probl Perform Art. 1998; 13:66–74.
7. Swain CT, Bradshaw EJ, Ekegren CL, Whyte DG. The epidemiology of low back pain and injury in dance: a systematic review. J Orthop Sports Phys Ther. 2019; 49:239–52.
8. Solomon R, Micheli LJ, Sobmon J, Kelley T. The “cost” of injuries in a professional ballet company: anatomy of a season. Med Probl Perform Art. 1995; 10:3–10.
9. U.S. Bureau of Labor Statistics. Injuries, Illnesses, and Fatalities: Table R8. Incidence rates for nonfatal occupational injuries and illnesses involving days away from work per 10,000 full-time workers by occupation and selected events or exposures leading to injury or illness, private industry, 2020 [Internet]. Washington, DC: U.S. Bureau of Labor Statistics;2022. [cited 2024 Feb 21]. https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/case-and-demographic-characteristics-table-r8-2020.htm.
10. Bronner S, Bauer NG. Risk factors for musculoskeletal injury in elite pre-professional modern dancers: a prospective cohort prognostic study. Phys Ther Sport. 2018; 31:42–51.
11. Jacobs CL, Hincapié CA, Cassidy JD. Musculoskeletal injuries and pain in dancers: a systematic review update. J Dance Med Sci. 2012; 16:74–84.
12. Kenny SJ, Whittaker JL, Emery CA. Risk factors for musculoskeletal injury in preprofessional dancers: a systematic review. Br J Sports Med. 2016; 50:997–1003.
13. Park IN, Yum HK. Stepwise strategy of social distancing in Korea. J Korean Med Sci. 2020; 35:e264.
14. McCormack M, Briggs J, Hakim A, Grahame R. Joint laxity and the benign joint hypermobility syndrome in student and professional ballet dancers. J Rheumatol. 2004; 31:173–8.
15. Boonstra AM, Schiphorst Preuper HR, Balk GA, Stewart RE. Cut-off points for mild, moderate, and severe pain on the visual analogue scale for pain in patients with chronic musculoskeletal pain. Pain. 2014; 155:2545–50.
16. Faraway JJ. Extending the linear model with R: generalized linear, mixed effects and nonparametric regression models. Boca Raton, FL: Chapman and Hall/CRC;2016.
17. Hosmer DW, Lemeshow S. Applied logistic regression. 2nd ed. New York: Wiley;2000.
18. Bursac Z, Gauss CH, Williams DK, Hosmer DW. Purposeful selection of variables in logistic regression. Source Code Biol Med. 2008; 3:17.
19. Bates D, Maechler M, Bolker B, Walker S, Christensen RH, Singmann H, et al. lme4: Linear mixed-effects models using ‘Eigen’ and S4. Version 1.1-35.2 [Computer software]. Comprehensive R Archive Network;2024. Mar. 28. https://cran.r-project.org/web/packages/lme4/index.html.
20. van Buuren S, Groothuis-Oudshoorn K, Robitzsch A, Vink G, Doove L, Jolani S, et al. Package ‘mice’: multivariate imputation by chained equations. Version 3.16.0 [Computer software]. Comprehensive R Archive Network;2023. Jun. 5. https://cran.r-project.org/web/packages/mice/index.html.
21. Kadel NJ, Teitz CC, Kronmal RA. Stress fractures in ballet dancers. Am J Sports Med. 1992; 20:445–9.
22. Steinberg N, Aujla I, Zeev A, Redding E. Injuries among talented young dancers: findings from the U.K. Centres for Advanced Training. Int J Sports Med. 2014; 35:238–44.
23. Kwon I. An investigation on the body pain of dance major college students. Korean J Sport Sci. 2016; 25:935–52.
24. Hootman JM, Dick R, Agel J. Epidemiology of collegiate injuries for 15 sports: summary and recommendations for injury prevention initiatives. J Athl Train. 2007; 42:311–9.
25. Dvorak J, Junge A. Football injuries and physical symptoms: a review of the literature. Am J Sports Med. 2000; 28(5 Suppl):S3–9.
26. Powell JW, Barber-Foss KD. Injury patterns in selected high school sports: a review of the 1995-1997 seasons. J Athl Train. 1999; 34:277–84.
27. McBride C, Bronner S. Injury characteristics in professional modern dancers: a 15-year analysis of work-related injury rates and patterns. J Sports Sci. 2022; 40:821–37.
28. Joseph SJ, Shoib S, Sg T, Bhandari SS. Psychological concerns and musculoskeletal pain amidst the COVID-19 lockdown. Open J Psychiatry Allied Sci. 2020; 11:137–9.
29. Shah S, Weiss DS, Burchette RJ. Injuries in professional modern dancers: incidence, risk factors, and management. J Dance Med Sci. 2012; 16:17–25.
30. Ramel EM, Moritz U, Jarnlo GB. Recurrent musculoskeletal pain in professional ballet dancers in Sweden: a six-year follow-up. J Dance Med Sci. 1999; 3:93–100.
31. Wanke EM, Arendt M, Mill H, Groneberg DA. Occupational accidents in professional dance with focus on gender differences. J Occup Med Toxicol. 2013; 8:35.
32. Motta-Valencia K. Dance-related injury. Phys Med Rehabil Clin N Am. 2006; 17:697–723.
33. Kim J, Baek J. The analysis of exercise intensity in each gestures of Korean dance. J Sport Leis Res. 2012; 48:903–12.
34. Jung KW, Choi DH, So WY. Kinetic analysis of Korean traditional dance movements by using ground reaction force. Iran J Public Health. 2018; 47:1602–3.
35. Jeon D. Comparison of ground reaction forces between novice and experienced ballet dancers performing a second position jump landing [master’s thesis]. Utah, UT: Kinesiology and Health Science Department, Utah State University;2017. 17.
36. Vassallo AJ, Pappas E, Stamatakis E, Hiller CE. Injury fear, stigma, and reporting in professional dancers. Saf Health Work. 2019; 10:260–4.
37. Armstrong R, Relph N. Screening tools as a predictor of injury in dance: systematic literature review and meta-analysis. Sports Med Open. 2018; 4:33.
38. Allen N, Ribbans W, Nevill AM, Wyon M. Musculoskeletal injuries in dance: a systematic review. Int J Phys Med Rehabil. 2014; 3:252.
Full Text Links
  • JYMS
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr