Torpedo Swimrun Cape Town: understanding athletes, evaluation of race rules and assessing predictors of performance of a novel sport
type: CreativeWork
description: Aims: The first aim was to describe the characteristics and demands of the Torpedo SwimRun Cape 2019 race. The second aim was to determine predictors of race performance, by using entry, result and questionnaire data. Objectives: The first objective was to explore distributions of age (y), sex, 1km pool swimming time (mm:ss), 5km road running time (mm:ss), competency level (Likert scale), estimated race finishing time (hh:mm), training habits (min/week and sessions/week), background sport (type), equipment used (type), wave selection (athletes select if they want to start in a slow, medium or fast wave)(type), total and segment race times (mm:ss) and questionnaire scores of race participants. The second objective was to analyze segment and race result times, 5km run times, 1km swim times and ocean knowledge questionnaire results. Results: In total, there were 99 participants (288 athletes took part in the race) of which 36% were female and 64% were male. Each team in the Torpedo SwimRun Cape must consist of two athletes. Of the athletes, 53% were entered in male teams, 30% in mixed teams (a male and a female per team) and 17% entered in female teams. The median age was 41 years with an interquartile range (IQR) of 19 years. The mean race time was 174:15 mm:ss (± 29:51 mm:ss). Athletes trained on average 7 sessions/week (IQR 7 sessions/week), and 435 min/week (IQR 345 min/week). The median ocean knowledge score (OKQ) was 9 (IQR 4). Athletes' self-reported current 5km road running time was on average 25:00 mm:ss (IQR 07:41 mm:ss) and their current 1km pool swimming time was 18:00 mm:ss (IQR 07:02 mm:ss). Total race time was significantly associated with current 5km road running time ( = 0.488, p = 0.001), current 1km pool swimming time ( = 0.607, p = 0.001) and OKQ score ( = -0.349, p = 0.003). These three variables were also used to predict total race time. The over-all linear regression model was found to be significant (R2 = 0.514, p = 0.001). Conclusion: The at…
abstract: Aims: The first aim was to describe the characteristics and demands of the Torpedo SwimRun Cape 2019 race. The second aim was to determine predictors of race performance, by using entry, result and questionnaire data. Objectives: The first objective was to explore distributions of age (y), sex, 1km pool swimming time (mm:ss), 5km road running time (mm:ss), competency level (Likert scale), estimated race finishing time (hh:mm), training habits (min/week and sessions/week), background sport (type), equipment used (type), wave selection (athletes select if they want to start in a slow, medium or fast wave)(type), total and segment race times (mm:ss) and questionnaire scores of race participants. The second objective was to analyze segment and race result times, 5km run times, 1km swim times and ocean knowledge questionnaire results. Results: In total, there were 99 participants (288 athletes took part in the race) of which 36% were female and 64% were male. Each team in the Torpedo SwimRun Cape must consist of two athletes. Of the athletes, 53% were entered in male teams, 30% in mixed teams (a male and a female per team) and 17% entered in female teams. The median age was 41 years with an interquartile range (IQR) of 19 years. The mean race time was 174:15 mm:ss (± 29:51 mm:ss). Athletes trained on average 7 sessions/week (IQR 7 sessions/week), and 435 min/week (IQR 345 min/week). The median ocean knowledge score (OKQ) was 9 (IQR 4). Athletes' self-reported current 5km road running time was on average 25:00 mm:ss (IQR 07:41 mm:ss) and their current 1km pool swimming time was 18:00 mm:ss (IQR 07:02 mm:ss). Total race time was significantly associated with current 5km road running time ( = 0.488, p = 0.001), current 1km pool swimming time ( = 0.607, p = 0.001) and OKQ score ( = -0.349, p = 0.003). These three variables were also used to predict total race time. The over-all linear regression model was found to be significant (R2 = 0.514, p = 0.001). Conclusion: The at…
author: Geromont, Christina
keywords: Medicine
date published: 2020
date modified: 2026-07-22T22:23:44Z
provider: University of Cape Town
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: Department of Human Biology

PropertyValue
property ID: Handle
value: http://hdl.handle.net/11427/32640