Resilience in sports: A multidisciplinary, dynamic, and personalized perspective

Ruud den Hartigh*, Rens Meerhoff, Nico W. Van Yperen, Niklas Neumann, Jur Brauers, Wouter Frencken, Ando Emerencia, Yannick Hill, Sebastiaan Platvoet, Martin Atzmueller, Koen A.P.M. Lemmink, Michel Brink

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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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.
Original languageEnglish
Number of pages23
JournalInternational Review of Sport and Exercise Psychology
Early online date19-Feb-2022
DOIs
Publication statusE-pub ahead of print - 19-Feb-2022

Keywords

  • Data science
  • load and recovery
  • personalized feedback
  • stressors
  • time series

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