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Aerobic power and lean mass are indicators of competitive sprint performance among elite female cross-country skiers

机译:有氧运动能力和瘦身质量是优秀女子越野滑雪运动员竞技冲刺表现的指标

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摘要

The purpose of this study was to establish the optimal allometric models to predict International Ski Federation’s ski-ranking points for sprint competitions (FISsprint) among elite female cross-country skiers based on maximal oxygen uptake ( V˙O2max) and lean mass (LM). Ten elite female cross-country skiers (age: 24.5±2.8 years [mean ± SD]) completed a treadmill roller-skiing test to determine V˙O2max (ie, aerobic power) using the diagonal stride technique, whereas LM (ie, a surrogate indicator of anaerobic capacity) was determined by dual-emission X-ray anthropometry. The subjects’ FISsprint were used as competitive performance measures. Power function modeling was used to predict the skiers’ FISsprint based on V˙O2max, LM, and body mass. The subjects’ test and performance data were as follows: V˙O2max, 4.0±0.3 L min−1; LM, 48.9±4.4 kg; body mass, 64.0±5.2 kg; and FISsprint, 116.4±59.6 points. The following power function models were established for the prediction of FISsprint: 3.91×105V˙O2max6.00 and 6.95 × 1010 · LM−5.25; these models explained 66% (P=0.0043) and 52% (P=0.019), respectively, of the variance in the FISsprint. Body mass failed to contribute to both models; hence, the models are based on V˙O2max and LM expressed absolutely. The results demonstrate that the physiological variables that reflect aerobic power and anaerobic capacity are important indicators of competitive sprint performance among elite female skiers. To accurately indicate performance capability among elite female skiers, the presented power function models should be used. Skiers whose V˙O2max differs by 1% will differ in their FISsprint by 5.8%, whereas the corresponding 1% difference in LM is related to an FISsprint difference of 5.1%, where both differences are in favor of the skier with higher V˙O2max or LM. It is recommended that coaches use the absolute expression of these variables to monitor skiers’ performance-related training adaptations linked to changes in aerobic power and anaerobic capacity.
机译:这项研究的目的是建立最佳的运动量模型,以基于最大摄氧量来预测国际滑雪联合会在精英女子越野滑雪者中进行冲刺比赛(FISsprint)的滑雪排名点( V ˙ O 2 max )和瘦体重(LM)。十位精英女子越野滑雪者(年龄:24.5±2.8岁[平均±标准偏差])完成了跑步机滑旱冰测试,以确定 <行> <行> <行者accent =” true“> V ˙ O 2 max < / mrow> (即有氧能力)使用对角跨步技术,而LM(即无氧能力的替代指标)是通过双发射X射线人体测量法确定的。受试者的FISsprint被用作竞争绩效指标。幂函数建模用于根据 来预测滑雪者的FISsprint V ˙ O 2 max ,LM和体重。受试者的测试和性能数据如下: V ˙ O 2 max ,4.0±0.3 L min −1 ; LM,48.9±4.4千克;体重64.0±5.2 kg;和FISsprint,116.4±59.6点。建立了以下幂函数模型来预测FISsprint: 3 91 × 10 5 V ˙ O 2 max < mrow> 6.00 和6.95×10 10 ·LM −5.25 ;这些模型分别解释了FISsprint中差异的66%(P = 0.0043)和52%(P = 0.019)。体重对这两种模型均无贡献;因此,这些模型基于 V ˙ O 2 max 和LM绝对表示。结果表明,反映有氧运动能力和无氧运动能力的生理变量是优秀女子滑雪运动员竞技短跑表现的重要指标。为了准确表明精英女子滑雪者的表现能力,应使用提出的幂函数模型。滑雪者的 V ˙ O 2 max 的FISsprint差异为1%,差异为5.8%,而相应的差异为1% LM与5.1%的FISsprint差异有关,其中两种差异都有利于具有较高 V ˙ O 2 max 或LM。建议教练使用这些变量的绝对表达式来监视与滑雪者的表现有关的训练适应性变化,这些变化与有氧能力和无氧能力的变化有关。

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