Summary of "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.

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