윤주영 피지오 트레이너 (브레이킹국가대표팀) / 브레이킹 국가대표팀의 데이터 기반 부상 방지 트레이닝 / 제4회 K-SPARA 심포지엄 / 대한스포츠아티스트재활협회

Injury Prevention Training in Breaking: Insights from Yoon Ju-young

The video features Yoon Ju-young, a physiotherapist and trainer for the Korean national breaking (breakdancing) team, discussing data-driven injury prevention training methods tailored for the sport.

Breaking as a Sport

• Breaking is a newly recognized Olympic sport, making its official debut at the Paris Olympics and included in the Asian Games.
• It is characterized by individual 1-on-1 battles judged subjectively on artistic and technical merit.
• There are no standardized movements, which makes injury patterns and prevention unique and complex.

Yoon Ju-young’s Journey

Yoon shares his personal experience:

• Former breaking athlete who suffered injuries and underwent rehabilitation, including disc surgery.
• Transitioned into a trainer role focused on injury risk management for breaking athletes.

Challenges in Injury Prevention for Breaking

• The sport’s highly individualized and varied movements make injury prevention difficult.
• Injuries mostly occur where the body bends, especially in the upper body, knees, and back.
• Injury patterns are complex due to the lack of standardized movements.

Research and Injury Prediction Models

• Yoon reviews research on injury prediction, focusing on the Acute:Chronic Workload Ratio (ACWR).
• ACWR suggests injury risk increases when training load suddenly spikes or drops.
• However, Yoon notes that while trends exist, ACWR and similar metrics cannot reliably predict injuries because of the complexity and individuality of athletes’ responses.
• The emphasis should be on managing injury risk through continuous monitoring and communication rather than trying to predict injuries.

Importance of Subjective Feedback and Data Integration

• Yoon stresses combining subjective player feedback (e.g., pain levels, training difficulty, sleep quality) with objective data.
• This approach helps build trust and manage training loads effectively.
• He advocates shifting terminology from “injury prevention” to “injury risk management” to better reflect the uncertain and multifactorial nature of injuries.

Practical Tools Developed

• Yoon developed digital questionnaires and data tracking systems using Google Sheets and AI-assisted coding.
• These tools collect weekly player self-reports on pain, training hours, and psychological state.
• Automated reports are generated for players, coaches, and staff to facilitate communication and informed decision-making.
• The tools are designed to support relationships and dialogue, not to single out or restrict players prematurely.

Addressing AI Challenges

• The lecture discusses challenges with AI use, including misinformation or “hallucination.”
• Yoon emphasizes the need for critical evaluation and double-checking of AI-generated content.
• He advises using AI as a tool rather than a source of absolute truth.
• Practitioners are encouraged to maintain a skeptical and investigative approach when working with AI.

Conclusion and Future Directions

• Yoon highlights the necessity of a multidisciplinary, individualized approach to injury risk management in breaking.
• Balancing data-driven insights with player communication, practical constraints, and resource availability is key.
• He invites collaboration and ongoing refinement of these methods to better support athletes’ health and performance.

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Presenters and Sources

• Yoon Ju-young (윤주영) – Physiotherapist and trainer for the Korean national breaking team
• References to research by Professor Camper and Professor Hedges
• Mention of Director Inseongmin and Professor Jindae
• Interaction with Professor Kim Shin-il regarding AI use