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IRONMAN®年龄组铁人三项运动员的出身地和种族分布对其比赛成绩的影响。

The influence of origin and race location on performance in IRONMAN® age group triathletes.

作者信息

Knechtle Beat, Valero David, Villiger Elias, Thuany Mabliny, Nikolaidis Pantelis T, Cuk Ivan, Andrade Marilia Santos, Forte Pedro, Braschler Lorin, Rosemann Thomas, Weiss Katja

机构信息

Medbase St. Gallen Am Vadianplatz, St. Gallen, Switzerland.

Institute of Primary Care, University of Zurich, Zurich, Switzerland.

出版信息

PLoS One. 2024 Dec 9;19(12):e0315064. doi: 10.1371/journal.pone.0315064. eCollection 2024.

DOI:10.1371/journal.pone.0315064
PMID:39652572
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11627357/
Abstract

BACKGROUND

The IRONMAN® (IM) triathlon is a popular multi-sport, where age group athletes often strive to qualify for the IM World Championship in Hawaii. The aim of the present study was to investigate the location of the fastest IM racecourses for age group IM triathletes. This knowledge will help IM age group triathletes find the best racecourse, considering their strengths and weaknesses, to qualify.

OBJECTIVE

To determine the fastest IM racecourse for age group IM triathletes using descriptive and predictive statistical methods.

METHODS

We collected and analyzed 677,702 age group IM finishers' records from 228 countries participating in 444 IM competitions held between 2002 and 2022 across 66 event locations. Locations were ranked by average race speed (performance), and countries were sorted by number of records in the sample (participation). A predictive model was built with race finish time as the predicted variable and the triathlete's gender, age group, country of origin, event location, average air, and water temperatures in each location as predictors. The model was trained with 75% of the available data and was validated against the remaining 25%. Several model interpretability tools were used to explore how each predictor contributed to the model's predictive power, from which we intended to infer whether one or more predictors were more important than the others.

RESULTS

The average race speed ranking showed IM Vitoria-Gasteiz (1 race only), IM Copenhagen (8 races), IM Hawaii (18 races), IM Tallinn (4 races) and IM Regensburg (2 races) in the first five positions. The XG Boost Regressor model analysis indicated that the IM Hawaii course was the fastest race course and that male athletes aged 35 years and younger were the fastest. Most of the finishers were competing in IM triathlons held in the US, such as IM Wisconsin, IM Florida, IM Lake Placid, IM Arizona, and IM Hawaii, where the IM World Championship took place. However, the fastest average times were achieved in IM Vitoria-Gasteiz, IM Copenhagen, IM Hawaii, IM Tallin, IM Regensburg, IM Brazil Florianopolis, IM Barcelona, or IM Austria with the absolutely fastest race time in IM Hawaii. Most of the successful IM finishers originated from the US, followed by athletes from the UK, Canada, Australia, Germany, and France. The best mean IM race times were achieved by athletes from Austria, Germany, Belgium, Switzerland, Finland, and Denmark. Regarding environmental conditions, the best IM race times were achieved at an air temperature of ∼27°C and a water temperature of ∼24°C.

CONCLUSIONS

IM age group athletes who intend to qualify for IM World Championship in IM Hawaii are encouraged to participate in IM Austria, IM Copenhagen, IM Brazil Florianopolis, and/or IM Barcelona in order to achieve a fast race time to qualify for the IM World Championship in IM Hawaii where the top race times were achieved. Most likely these races offer the best ambient temperatures for a fast race time.

摘要

背景

IRONMAN®(铁三)三项全能赛是一项广受欢迎的多项目运动,各年龄组的运动员常常努力争取获得参加夏威夷铁三世界锦标赛的资格。本研究的目的是调查对于各年龄组的铁三运动员而言,速度最快的铁三比赛路线的所在位置。了解这些信息将有助于各年龄组的铁三运动员根据自身的优势和劣势找到最佳的比赛路线,从而获得参赛资格。

目的

运用描述性和预测性统计方法,确定对于各年龄组的铁三运动员而言速度最快的铁三比赛路线。

方法

我们收集并分析了来自228个国家的677702名各年龄组铁三完赛者的记录,这些记录来自2002年至2022年期间在66个赛事地点举办的444场铁三比赛。比赛地点按照平均比赛速度(成绩)进行排名,国家则按照样本中的记录数量(参赛情况)进行排序。构建了一个预测模型,将比赛完赛时间作为预测变量,将铁人三项运动员的性别、年龄组、原籍国、赛事地点、各地点的平均气温和水温作为预测因子。该模型使用75%的可用数据进行训练,并以其余25%的数据进行验证。使用了几种模型可解释性工具来探究每个预测因子对模型预测能力的贡献,我们旨在据此推断一个或多个预测因子是否比其他因子更重要。

结果

平均比赛速度排名显示,维多利亚 - 加斯泰兹铁三赛(仅1场比赛)、哥本哈根铁三赛(8场比赛)、夏威夷铁三赛(18场比赛)、塔林铁三赛(4场比赛)和雷根斯堡铁三赛(2场比赛)位列前五。XG Boost回归模型分析表明,夏威夷铁三赛路线是速度最快的比赛路线,35岁及以下的男性运动员速度最快。大多数完赛者参加的是在美国举办的铁三比赛,如威斯康星铁三赛、佛罗里达铁三赛、普莱西德湖铁三赛、亚利桑那铁三赛和夏威夷铁三赛(即铁三世界锦标赛举办地)。然而,平均用时最快的是在维多利亚 - 加斯泰兹铁三赛、哥本哈根铁三赛、夏威夷铁三赛、塔林铁三赛、雷根斯堡铁三赛、巴西弗洛里亚诺波利斯铁三赛、巴塞罗那铁三赛或奥地利铁三赛,其中夏威夷铁三赛的绝对最快比赛用时。大多数成功完赛的铁三运动员来自美国,其次是来自英国、加拿大、澳大利亚、德国和法国的运动员。奥地利、德国、比利时、瑞士、芬兰和丹麦的运动员取得了最佳的平均铁三比赛成绩。关于环境条件,在气温约27°C和水温约24°C时取得了最佳的铁三比赛成绩。

结论

鼓励有意获得夏威夷铁三世界锦标赛参赛资格的各年龄组铁三运动员参加奥地利铁三赛、哥本哈根铁三赛、巴西弗洛里亚诺波利斯铁三赛和/或巴塞罗那铁三赛,以便取得较快的比赛成绩,从而获得在夏威夷铁三赛中取得顶尖比赛成绩的铁三世界锦标赛参赛资格。很可能这些比赛提供了最有利于取得较快比赛成绩的环境温度。

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