期刊
INTERNATIONAL REVIEW OF SPORT AND EXERCISE PSYCHOLOGY
卷 -, 期 -, 页码 -出版社
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/1750984X.2022.2039749
关键词
Data science; load and recovery; personalized feedback; stressors; time series
资金
- Netherlands Organisation for Health Research and Development [546003004]
Understanding and improving athletes' resilience is crucial for preventing performance decrements and psychological or physical problems. Collaborative synthesis of knowledge from psychology, physiology, sports science, and data science is needed to enhance our understanding of the resilience process.
Athletes are exposed to various psychological and physiological stressors, such as losing matches and high training loads. Understanding and improving the resilience of athletes is therefore crucial to prevent performance decrements and psychological or physical problems. In this review, resilience is conceptualized as a dynamic process of bouncing back to normal functioning following stressors. This process has been of wide interest in psychology, but also in the physiology and sports science literature (e.g. load and recovery). To improve our understanding of the process of resilience, we argue for a collaborative synthesis of knowledge from the domains of psychology, physiology, sports science, and data science. Accordingly, we propose a multidisciplinary, dynamic, and personalized research agenda on resilience. We explain how new technologies and data science applications are important future trends (1) to detect warning signals for resilience losses in (combinations of) psychological and physiological changes, and (2) to provide athletes and their coaches with personalized feedback about athletes' resilience.
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