Rüst Christoph Alexander, Knechtle Beat, Wirth Andrea, Knechtle Patrizia, Ellenrieder Birte, Rosemann Thomas, Lepers Romuald
"Institute of General Practice and Health Services Research, University of Zurich, Zurich, Switzerland"
Chin J Physiol. 2012 Jun 30;55(3):156-62. doi: 10.4077/CJP.2012.BAA014.
"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."
本研究的目的是调查人体测量学特征、训练情况或以往表现是否与业余女性铁人三项运动员的铁人三项比赛时间相关。为了确定预测变量，从而能够预测未来新手铁人三项运动员的铁人三项比赛时间，对53名业余女性铁人三项运动员的这些特征与铁人三项比赛时间进行了相关性分析。在双变量分析中，没有人体测量学特征与比赛时间相关。每周骑行公里数（r = -0.35）和小时数（r = -0.32），以及奥运会距离铁人三项赛的个人最好成绩（r = 0.49）和马拉松比赛的个人最好成绩（r = 0.74）与铁人三项比赛时间相关（P < 0.05）。逐步多元回归分析表明，奥运会距离铁人三项赛的个人最好成绩（P = 0.0453）和马拉松比赛的个人最好成绩（P = 0.0030）是铁人三项比赛时间的最佳预测指标（n = 28，r² = 0.53）。业余女性铁人三项运动员的铁人三项比赛时间可以通过以下方程进行部分预测（r² = 0.53，n = 28）：比赛时间（分钟）= 186.3 + 1.595×（奥运会距离铁人三项赛的个人最好成绩，分钟）+ 1.318×（马拉松比赛的个人最好成绩，分钟）
