Dissertation
Athlete monitoring: a holistic approach to data collection and analysis
University of the Sunshine Coast, Queensland
Doctor of Philosophy, University of the Sunshine Coast, Queensland
2022
DOI:
https://doi.org/10.25907/00678
Abstract
Background:
Prolonged performance decrements, excessive muscle soreness, overuse injuries, sleep disturbances, exhaustion, stress, and impaired mental health characterise non-functional overreaching (NFO) and overtraining syndrome (OTS). Thus, to safeguard against the manifestation of these maladaptive states, athlete monitoring protocols are now prevalent in high-performance sports. Specifically, athlete monitoring protocols typically include subjective and objective measures of athlete wellness, performance, and training load. Given the demands of the high-performance sporting environment, the countermovement jump (CMJ) test and Short Recovery and Stress Scale (SRSS) are candidate tools for monitoring the performance and wellness response to training load, respectively. However, despite their athlete monitoring applications in various endurance, field- and court-based sports, there is scarce longitudinal research investigating their applications in cycling populations.
Despite the importance of chronic training load development in athletes, few cycling studies have included it in performance and wellness models. Moreover, there is a poor understanding of which cycling training load variables, either acute or chronic, are most suitable for modelling the performance and wellness response. While dimension reduction techniques could overcome this issue, there is scarce research investigating its applications in cycling populations.
Aims:
By collecting holistic athlete monitoring data from national-level road cyclists, this project aimed to 1) provide insight into the effects of acute and chronic training load on athlete wellness (SRSS) and performance (CMJ test), and 2) aid the development of athlete monitoring procedures in high-performance sport.
Details
- Title
- Athlete monitoring: a holistic approach to data collection and analysis
- Authors
- Aaron Turner - University of the Sunshine Coast, Queensland, High Performance Sport - Legacy
- Contributors
- Brendan Burkett (Supervisor) - University of the Sunshine Coast, Queensland, High Performance Sport - Legacy
- Awarding institution
- University of the Sunshine Coast, Queensland
- Degree awarded
- Doctor of Philosophy
- Publisher
- University of the Sunshine Coast, Queensland
- DOI
- 10.25907/00678
- Organisation Unit
- School of Health - High Performance Sport; University of the Sunshine Coast, Queensland; School of Health - Sports & Exercise Science; School of Health and Behavioural Sciences - Legacy
- Language
- English
- Record Identifier
- 99665898402621
- Output Type
- Dissertation
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