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A Multi-Modal Approach to Assessing Recovery in Youth Athletes Following Concussion
Published on: September 25, 2014
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Resilience in sports: a multidisciplinary, dynamic, and personalized perspective
Ruud J R Den Hartigh1, L Rens A Meerhoff2, Nico W Van Yperen1
1Faculty of Behavioral and Social Sciences, Department of Psychology, University of Groningen, Groningen, the Netherlands.
Summary
Understanding athlete resilience is key to preventing performance loss and health issues. A multidisciplinary approach combining psychology, physiology, and data science can enhance athlete resilience through personalized feedback and early detection of warning signs.
Area of Science:
- Sports Science
- Psychology
- Physiology
- Data Science
Background:
- Athletes face significant psychological and physiological stressors, including match losses and intense training loads.
- Athlete resilience, defined as the capacity to recover from stressors, is vital for maintaining performance and well-being.
- Existing research on resilience spans psychology, physiology, and sports science, highlighting the need for integration.
Purpose of the Study:
- To propose a multidisciplinary research agenda for understanding and enhancing athlete resilience.
- To conceptualize resilience as a dynamic process of recovery from stressors.
- To advocate for a synthesis of knowledge across psychology, physiology, sports science, and data science.
Main Methods:
- This review synthesizes existing literature from relevant scientific domains.
- It proposes a conceptual framework for studying resilience as a dynamic process.
- It outlines a future research agenda integrating new technologies and data science.
Main Results:
- A multidisciplinary, dynamic, and personalized research agenda for athlete resilience is proposed.
- New technologies and data science are identified as crucial for detecting resilience-related warning signals.
- Personalized feedback systems for athletes and coaches are highlighted as a key future trend.
Conclusions:
- Integrating insights from psychology, physiology, sports science, and data science is essential for a comprehensive understanding of athlete resilience.
- Data science and technological advancements offer novel opportunities for monitoring and supporting athlete resilience.
- A personalized, dynamic approach is necessary to effectively enhance resilience in athletes facing diverse stressors.
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