Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-64257
Rüst, Christoph Alexander; Knechtle, Beat; Wirth, Andrea; Knechtle, Patrizia; Ellenrieder, Birte; Rosemann, Thomas; Lepers, Romuald (2012). Personal best times in an olympic distance triathlon and a marathon predict an ironman race time for recreational female triathletes. Chinese Journal of Physiology, 55(3):156-162.
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"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 (< 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, r² = 0.53). The race time in an Ironman triathlon might be partially predicted by the following equation (r² = 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."
|Item Type:||Journal Article, refereed, original work|
|Communities & Collections:||04 Faculty of Medicine > University Hospital Zurich > Institute of General Practice|
|DDC:||610 Medicine & health|
|Deposited On:||17 Aug 2012 07:24|
|Last Modified:||26 Dec 2013 10:58|
|Publisher:||Chinese Physiological Society|
|Free access at:||Publisher DOI. An embargo period may apply.|
|Citations:||Web of Science®. Times Cited: 2|
Scopus®. Citation Count: 3
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