Development of exhaustion for high-performance coaches in association with workload and motivation: A person-centered approach |
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| Affiliation: | 1. Norwegian School of Sport Sciences, Norway;2. The Swedish School of Sport and Health Sciences, Sweden;1. Department of Psychology and Speech Pathology, Curtin University, Australia;2. Department of Physical Education and Sport Science, Aristotle University of Thessaloniki, Greece;3. Department of Physical Education, University of Memphis, USA;1. Institute of Physiology, Medical University of Graz, Austria;2. Department of Psychology, Biological Psychology Unit, University of Graz, Austria;1. Department of Health and Physical Education, Hong Kong Institute of Education, Hong Kong;2. Department of Physical Education, Hong Kong Baptist University, Hong Kong;3. College of Health Science, Wuhan Institute of Physical Education, Wuhan, China;4. School of Psychology, University of Lincoln, UK;5. School of Psychology and Speech Pathology, Curtin University, Perth, Australia;1. The Norwegian School of Sport Sciences, Norway;2. University Grenoble Alpes, SENS, F-38000 Grenoble, France;1. The Exercise and Health Psychology Laboratory, The University of Western Ontario, London, Ontario N6A 3K7, Canada;2. Clinical Trials Research Unit, The University of Auckland, Private Bag 92019, Auckland, New Zealand |
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| Abstract: | ObjectivesThe aim of the current study was twofold. First, to explore whether there were different trajectories of exhaustion among high-performance coaches over the course of a competitive season. Then, to investigate whether workload-related variables and motivational regulations were associated with exhaustion class membership.Methods and design299 high-performance coaches responded to an online survey at the start, middle, and end of a competitive season, assessing exhaustion, workload, work home interference (WHI), recovery, and motivational regulations. Latent class growth analyses were used to identify different trajectories of perceived exhaustion. Further, multinomial logistic regression examined class associations for workload-related variables and motivational regulations at the start and at the end of competitive season.ResultsFour different trajectories of perceived exhaustion among coaches were identified, termed respectively “High” (10%), “Increase” (15%), “Decrease” (4%) and “Low” (71%). Higher levels of workload and WHI were associated to classes with higher levels of exhaustion. Higher levels of recovery, and intrinsic and identified regulations were associated to classes with lower levels of exhaustion. Adaptive and maladaptive profiles were identified.ConclusionsDifferent trajectories of exhaustion among high-performance coaches over the course of a competitive season were found. A maladaptive profile was associated with higher perceived workload and WHI, as well as lower levels of recovery, intrinsic and identified regulations, when compared to the adaptive profile. |
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| Keywords: | Exhaustion Person-centered approach WHI Recovery Motivational regulation High-performance coaches |
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