Personal Best Times in an Olympic Distance Triathlon and a Marathon Predict an Ironman Race Time for Recreational Female Triathletes

10.4077/CJP.2012.BAA014

Christoph Alexander Rüst；Beat Knechtle；Andrea Wirth；Patrizia Knechtle；Birte Ellenrieder；Thomas Rosemann；Romuald Lepers

body fat ； gender ； endurance ； performance

The Chinese Journal of Physiology

55卷3期（2012 / 06 / 01）

156 - 162

英文

The aim of this study was to investigate whether the characteristics of anthropometry, training or previous performance were related to an Ironman race time in recreational female Ironman triathletes. These characteristics were correlated to an Ironman race time for 53 recreational female triathletes in order to determine the predictor variables, and so be able to predict an Ironman race time for future novice triathletes. In the bi-variate analysis, no anthropometric characteristic was related to race time. The weekly cycling kilometers (r = -0.35) and hours (r = -0.32), as well as the personal best time in an Olympic distance triathlon (r = 0.49) and in a marathon (r = 0.74) were related to an Ironman race time (P ＜ 0.05). Stepwise multiple regressions showed that both the personal best time in an Olympic distance triathlon (P = 0.0453) and in a marathon (P = 0.0030) were the best predictors for the Ironman race time (n = 28, r^2 = 0.53). The race time in an Ironman triathlon might be partially predicted by the following equation (r^2 = 0.53, n = 28): Race time (min) = 186.3 + 1.595 × (personal best time in an Olympic distance triathlon, min) + 1.318 × (personal best time in a marathon, min) for recreational female Ironman triathletes.

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