Int J Sports Physiol Perform. 2021 Jul 1;16(7):1008-1013. doi: 10.1123/ijspp.2020-0319. Epub 2021 Feb 27.
To identify relevant physiological, mechanical, and strength indices to improve the evaluation of elite mountain bike riders competing in the current Cross-Country Olympic (XCO) format.
Considering the evolution of the XCO race format over the last decade, the present testing protocol adopted a battery of complementary laboratory cycling tests: a maximal aerobic consumption, a force-velocity test, and a multi-short-sprint test. A group of 33 elite-level XCO riders completed the entire testing protocol and at least 5 international competitions.
Very large correlations were found between the XCO performance and maximal aerobic power output (r = .78; P < .05), power at the second ventilation threshold (r = .83; P < .05), maximal pedaling force (r = .77; P < .05), and maximum power in the sixth sprint (r = .87; P < .05) of the multi-short-sprint test. A multiple regression model revealed that the normalized XCO performance was predicted at 89.2% (F3,29 = 89.507; r = .95; P < .001) by maximum power in the sixth sprint (β = 0.602; P < .001), maximal pedaling rate (β = 0.309; P < .001), and relative maximal aerobic power output (β = 0.329; P < .001).
Confirming our expectations, the current XCO performance was highly correlated with a series of physiological and mechanical parameters reflecting the high level of acyclic and intermittent solicitation of both aerobic and anaerobic metabolic pathways and the required qualities of maximal force and velocity.
The combination of physiological, mechanical, and strength characteristics may thus improve the prediction of elite XCO cyclists' performance. It seems of interest to evaluate the ability to repeatedly produce brief intensive efforts with short active recovery periods.
确定相关的生理、力学和力量指标,以提高对参加当前 XC 奥林匹克(XCO)格式的精英山地自行车手的评估。
考虑到过去十年 XCO 比赛格式的演变,本测试方案采用了一系列互补的实验室自行车测试:最大有氧消耗、力量-速度测试和多短冲刺测试。一组 33 名精英级 XCO 骑手完成了整个测试方案和至少 5 次国际比赛。
XCO 表现与最大有氧功率输出(r =.78;P <.05)、第二通气阈值的功率(r =.83;P <.05)、最大踩踏力(r =.77;P <.05)和多短冲刺测试中的第六次冲刺的最大功率(r =.87;P <.05)之间存在非常大的相关性。多元回归模型显示,归一化的 XCO 表现可通过第六次冲刺的最大功率(β = 0.602;P <.001)、最大踩踏频率(β = 0.309;P <.001)和相对最大有氧功率输出(β = 0.329;P <.001)预测 89.2%(F3,29 = 89.507;r =.95;P <.001)。
证实了我们的预期,当前的 XCO 表现与一系列反映高水平非周期性和间歇性募集有氧和无氧代谢途径以及所需最大力量和速度的生理和力学参数高度相关。
因此,生理、力学和力量特征的结合可能会提高对精英 XCO 自行车手表现的预测。评估重复产生短暂剧烈努力并伴有短暂主动恢复期的能力似乎很有意义。