Knechtle Beat, Valero David, Villiger Elias, Thuany Mabliny, Cuk Ivan, Forte Pedro, Andrade Marilia Santos, Nikolaidis Pantelis T, Rosemann Thomas, Weiss Katja
Medbase St. Gallen Am Vadianplatz, Vadianstrasse 26, St. Gallen, 9001, Switzerland.
Institute of Primary Care, University of Zurich, Zurich, Switzerland.
Sports Med Open. 2025 Mar 28;11(1):30. doi: 10.1186/s40798-025-00835-8.
Several studies have evaluated the most predictive discipline (swimming, cycling, and running) of performance in elite IRONMAN triathletes. However, no study has ever determined the most decisive discipline for IRONMAN age group triathletes. The present study analyzed the importance of the three disciplines on the overall race times in IRONMAN age group triathletes, in order to try and determine the most predictive discipline in IRONMAN for age group triathletes, and whether the importance of the split disciplines changes with increasing age.
This cross-sectional study used 687,696 IRONMAN age group triathletes race records (553,608 from males and 134,088 from females). Age group athletes were divided in 5-year age groups (i.e., 18-24, 25-29, 30-34,…,70-74, and last 75 + years). The relationships between split disciplines (i.e., swimming, cycling, and running) and overall race times were evaluated using Spearman and Pearson correlations. A multi-linear regression model was used to calculate their prediction strength.
The overall finish time correlated more with cycling and running times than with swimming times for both male and female IRONMAN age group triathletes (r = 0.88 and r = 0.89 for females; r = 0.89 and r = 0.90 for males, respectively). All correlation coefficients decreased with increasing age, which was more noticeable for the swimming discipline.
Both cycling and running are more predictive than swimming in IRONMAN age group triathletes, where the correlation between the overall race times and the split times decreased with increasing age more in swimming than in cycling and running. These insights are useful for IRONMAN age group triathletes and their coaches in planning their IRONMAN race preparation and concentrating training on the more predictive disciplines.
多项研究评估了精英铁人三项运动员中对成绩最具预测性的项目(游泳、自行车和跑步)。然而,尚无研究确定铁人三项年龄组运动员中最具决定性的项目。本研究分析了这三个项目对铁人三项年龄组运动员总比赛时间的重要性,以试图确定铁人三项中对年龄组运动员最具预测性的项目,以及各分项项目的重要性是否随年龄增长而变化。
这项横断面研究使用了687696份铁人三项年龄组运动员的比赛记录(男性553608份,女性134088份)。年龄组运动员按5岁年龄分组(即18 - 24岁、25 - 29岁、30 - 34岁、…、70 - 74岁,最后是75岁及以上)。使用斯皮尔曼和皮尔逊相关性评估分项项目(即游泳、自行车和跑步)与总比赛时间之间的关系。采用多元线性回归模型计算其预测强度。
对于男性和女性铁人三项年龄组运动员,总完赛时间与自行车和跑步时间的相关性均高于与游泳时间的相关性(女性分别为r = 0.88和r = 0.89;男性分别为r = 0.89和r = 0.90)。所有相关系数均随年龄增长而降低,在游泳项目中更为明显。
在铁人三项年龄组运动员中,自行车和跑步比游泳更具预测性,总比赛时间与分项时间之间的相关性在游泳项目中随年龄增长的下降幅度大于自行车和跑步项目。这些见解对铁人三项年龄组运动员及其教练在规划铁人三项比赛准备和将训练集中在更具预测性的项目上很有用。