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通过精英铁人三项运动员的次最大负荷实验室测试预测铁人三项比赛成绩。

Prediction of drafted-triathlon race time from submaximal laboratory testing in elite triathletes.

作者信息

Hue Olivier

机构信息

Laboratoire ACTES; UPRES-EA 35-96, UFR-STAPS Université Antilles-Guyane, Campus de Fouillole, 97159 Pointe à Pitre Cedex, Guadeloupe, FWI.

出版信息

Can J Appl Physiol. 2003 Aug;28(4):547-60. doi: 10.1139/h03-042.

Abstract

PURPOSE AND METHODS

To determine which physiological variables accurately predict the race time of an Olympic-distance International Triathlon undertaken in drafted conditions, 8 elite triathletes underwent both maximal and submaximal laboratory and field physiological testing: a 400-m maximal swim test; an incremental treadmill test; an incremental cycling test; 30 min of cycling followed by 20 min of running (C-R); and 20 min of control running (R) at the exact same speed variations as in running in C-R. Blood samples were drawn to measure venous lactate concentration after the 400-m swim and the cycle and run segments of C-R. During the maximal cycling and running exercises, data were collected using an automated breath-by-breath system.

RESULTS

The only parameters correlated with the overall drafted-triathlon time were lactate concentration noted at the end of the cycle segment (r = 0.83, p < 0. 05) and the distance covered during the running part of the submaximal C-R test (r = 0.92, p < 0. 01). Stepwise multiple regression analysis revealed a highly significant (r = 0.96, p < 0.02) relationship between predicted race time (from laboratory measures) and actual race time, using the following calculation: Predicted Triathlon Time (s) = 1.128 (distance covered during R of C-R [m]) + 38.8 ([lactate] at the end of C in C-R) + 13,338. The high R2 value of 0.93 indicated that, taken together, these two laboratory measures could account for 93% of the variance in race times during a drafted triathlon.

CONCLUSION

Complementing previous studies, this study demonstrates that different parameters seem to be reliable for predicting performance in drafted vs. nondrafted Olympic-triathlon races. It also demonstrates that, for elite triathletes competing in a drafted Olympic-distance triathlon, performance is accurately predicted from the results of submaximal laboratory measures.

摘要

目的与方法

为了确定哪些生理变量能够准确预测在跟随骑行条件下进行的奥运会距离国际铁人三项赛的比赛时间,8名精英铁人三项运动员接受了最大和次最大强度的实验室及现场生理测试:400米最大游泳测试;递增式跑步机测试;递增式自行车测试;30分钟骑行后接着20分钟跑步(C-R);以及与C-R中跑步时速度变化完全相同的20分钟对照跑步(R)。在400米游泳以及C-R的自行车和跑步段结束后采集血样以测量静脉血乳酸浓度。在最大强度的自行车和跑步运动期间,使用自动逐次呼吸系统收集数据。

结果

与跟随骑行铁人三项赛总时间相关的唯一参数是自行车段结束时记录的乳酸浓度(r = 0.83,p < 0.05)以及次最大强度C-R测试跑步部分所覆盖的距离(r = 0.92,p < 0.01)。逐步多元回归分析显示,使用以下计算方法,预测比赛时间(来自实验室测量值)与实际比赛时间之间存在高度显著的关系(r = 0.96,p < 0.02):预测铁人三项赛时间(秒)= 1.128(C-R中R部分所覆盖的距离[米])+ 38.8(C-R中C结束时的[乳酸])+ 13338。0.93的高R²值表明,综合起来,这两项实验室测量值可以解释跟随骑行铁人三项赛比赛时间93%的方差。

结论

与先前的研究相辅相成,本研究表明,不同参数对于预测跟随骑行与非跟随骑行的奥运会铁人三项赛成绩似乎是可靠的。它还表明,对于参加跟随骑行奥运会距离铁人三项赛的精英铁人三项运动员,次最大强度实验室测量结果能够准确预测其表现。

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