TY - CONF
T1 - A Multidisciplinary, Personalized Approach to Resilience in Sports
AU - Neumann, Niklas
AU - Brauers, Jur
AU - Van Yperen, Nico W.
AU - Frencken, Wouter
AU - Meerhoff, Rens
AU - Lemmink, Koen A.P.M.
AU - Brink, Michel
AU - den Hartigh, Ruud
N1 - Conference code: 3
PY - 2022
Y1 - 2022
N2 - Athletes encounter various physiological and psychosocial stressors, such as heavy training sessions, lost games, and life events. In order to stay healthy and perform optimally, they must be resilient. Indeed, when athletes do not “bounce back” from the stressors, they can get injured or experience a mental dip. Our ZonMw project aims to improve our understanding of resilience in sports and beyond. Because resilience can pertain to physiological and psychosocial processes, and is typically dynamic and individual-specific, these properties should be accounted for (Den Hartigh et al., 2022). We closely collaborate with professional sports organizations, such as PSV, Vitesse, and FC Groningen, where we developed a well-functioning infrastructure. We collect physiological data through sensors that players wear on the field, and psychosocial data through a tailor-made application on a daily basis. In a collaboration between psychologists, movement scientists, and data scientists, we apply analyses to detect resilience losses in the physiological and psychosocial processes of the players. Current and predicted states of the players, including resilience losses, are communicated to the staff of the soccer clubs via the dashboard of our tailor-made app. Through this multidisciplinary, dynamic, and personalized approach we aim to advance theoretical and practical insights into resilience.
AB - Athletes encounter various physiological and psychosocial stressors, such as heavy training sessions, lost games, and life events. In order to stay healthy and perform optimally, they must be resilient. Indeed, when athletes do not “bounce back” from the stressors, they can get injured or experience a mental dip. Our ZonMw project aims to improve our understanding of resilience in sports and beyond. Because resilience can pertain to physiological and psychosocial processes, and is typically dynamic and individual-specific, these properties should be accounted for (Den Hartigh et al., 2022). We closely collaborate with professional sports organizations, such as PSV, Vitesse, and FC Groningen, where we developed a well-functioning infrastructure. We collect physiological data through sensors that players wear on the field, and psychosocial data through a tailor-made application on a daily basis. In a collaboration between psychologists, movement scientists, and data scientists, we apply analyses to detect resilience losses in the physiological and psychosocial processes of the players. Current and predicted states of the players, including resilience losses, are communicated to the staff of the soccer clubs via the dashboard of our tailor-made app. Through this multidisciplinary, dynamic, and personalized approach we aim to advance theoretical and practical insights into resilience.
KW - data science
KW - time series analysis
KW - stressors
KW - sports
KW - warning signals
KW - bouncing back
KW - dynamic process
KW - load and recovery
KW - personalized feedback
M3 - Poster
T2 - NWO Life2022
Y2 - 24 May 2022 through 25 May 2022
ER -