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ABSTRACT:
A more holistic approach, such as the utilization of data from the different domains of sport science permit more accurate predictions of sporting performance. The focus of this study was to apply this approach to an IronmanTM (3.8km swim, 180km cycle, and 42.2km run) triathlon event. The methodology utilized physiological measures (VO2max, adiposity, height, weight), history of performance and sport psychological constructs (self-efficacy, motivation, sport confidence, cognitive and somatic anxiety) to predict total performance time and individual swim, cycle and run performance times. The results, utilizing correlation and regression indicated that performance can be predicted more accurately when variables are assessed from a variety of Human Movement domains. The results revealed that when all variables were included in the analysis, total performance time was predicted more accurately by self-efficacy total estimation, performance history and weight (Adjusted R2=80).
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