ABSTRACT

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.

摘要

运动员面临各种心理和生理压力，例如输掉比赛和高负荷训练。因此，了解和提高运动员的复原力对于防止表现下降和心理或身体问题至关重要。在这篇综述中，复原力被概念化为在压力源之后反弹到正常功能的动态过程。这个过程在心理学中引起了广泛的兴趣，在生理学和运动科学文献中也引起了广泛的兴趣（例如负荷和恢复）。为了提高我们对复原力过程的理解，我们主张对心理学、生理学、运动科学和数据科学领域的知识进行协作综合。因此，我们提出了一个关于复原力的多学科、动态和个性化的研究议程。