Journal of Yeungnam Medical Science

Yeungnam University College of Medicine, Yeungnam University Institute Medical Science (영남대 의대 학술지 편집위원회)
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Factors associated with musculoskeletal pain in professional dancers, including lapse period of group practice due to the COVID-19 outbreak: repeated-measures analysis

  • Kiook Baek (Department of Preventive Medicine, Dongguk University College of Medicine) ;
  • Yu-Mi Choi (Department of Public Health, Yeungnam University Graduate School) ;
  • Joon Sakong (Department of Public Health, Yeungnam University Graduate School)
  • Received : 2024.02.21
  • Accepted : 2024.04.03
  • Published : 2024.07.31
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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.

Keywords

Acknowledgement

This work was supported by a 2023 Yeungnam University Research Grant (222A480008).

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