Van Schuylenbergh R, Eynde B Vanden, Hespel P
Exercise Physiology and Biomechanics Laboratory, Department of Kinesiology, Faculty of Physical Education and Physiotherapy, K.U. Leuven, Tervuursevest 101, 3001 Leuven, Belgium.
Eur J Appl Physiol. 2004 Jan;91(1):94-9. doi: 10.1007/s00421-003-0911-6. Epub 2003 Sep 4.
This study investigated whether sprint triathlon performance can be adequately predicted from laboratory tests. Ten triathletes [mean (SEM), age 21.8 (0.3) years, height 179 (2) cm, body mass 67.5 (2.5) kg] performed two graded maximal exercise test in random order, either on their own bicycle which was mounted on an ergometer or on a treadmill, to determine their peak oxygen consumption ( VO(2)peak). Furthermore, they participated in two to three 30-min constant-load tests in both swimming, cycling and running to establish their maximal lactate steady state (MLSS) in each exercise mode. Swim tests were performed in a 25-m swimming pool (water temperature 27 degrees C). During each test heart rate (HR), power output (PO) or running/swimming speed and blood lactate concentration (BLC) were recorded at regular intervals. Oxygen uptake ( VO(2)) was continuously measured during the graded tests. Two weeks after the laboratory tests all subjects competed in a triathlon race (500 m swim, 20-km bike, 5-km run) [1 h 4 min 45 s (1 min 38 s)]. Peak HR was 7 beats.min(-1) lower in the graded cycle test than in the treadmill test ( p<0.05) at similar peak BLC (approximately 10 mmol.l(-1)) and VO(2)peak (approximately 5 L.min(-1)). High correlations were found between VO(2)peak during cycling ( r=-0.71, p<0.05) or running ( r=-0.69, p<0.05) and triathlon performance. Stepwise multiple regression analysis showed that running speed and swimming speed at MLSS, together with BLC in running at MLSS, yielded the best prediction of performance [1 h 5 min 18 s (1 min 49 s)]. Thus, our data indicate that exercise tests aimed to determine MLSS in running and swimming allow for a precise estimation of sprint triathlon performance.
本研究调查了能否通过实验室测试充分预测短距离铁人三项赛的成绩。十名铁人三项运动员[平均（标准误），年龄21.8（0.3）岁，身高179（2）厘米，体重67.5（2.5）千克]以随机顺序进行了两次分级最大运动测试，测试分别在安装在测力计上的自己的自行车上或跑步机上进行，以确定他们的最大摄氧量（VO₂峰值）。此外，他们在游泳、骑自行车和跑步项目中分别参加了两到三次30分钟的恒定负荷测试，以确定每种运动模式下的最大乳酸稳态（MLSS）。游泳测试在25米的游泳池中进行（水温27摄氏度）。在每次测试期间，定期记录心率（HR）、功率输出（PO）或跑步/游泳速度以及血乳酸浓度（BLC）。在分级测试期间连续测量摄氧量（VO₂）。实验室测试两周后，所有受试者参加了一场铁人三项赛（500米游泳、20公里自行车、5公里跑步）[1小时4分45秒（1分38秒）]。在相似的峰值BLC（约10毫摩尔/升）和VO₂峰值（约5升/分钟）时，分级自行车测试中的峰值HR比跑步机测试中的低7次/分钟（p<0.05）。发现骑行（r=-0.71，p<0.05）或跑步（r=-0.69，p<0.05）时的VO₂峰值与铁人三项赛成绩之间存在高度相关性。逐步多元回归分析表明，MLSS时的跑步速度和游泳速度，以及MLSS跑步时的BLC，对成绩的预测效果最佳[1小时5分18秒（1分49秒）]。因此，我们的数据表明，旨在确定跑步和游泳中MLSS的运动测试能够精确估计短距离铁人三项赛的成绩。
