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足球运动员的重复冲刺能力能否通过基于场地或实验室的生理测试来预测?

Is repeated-sprint ability of soccer players predictable from field-based or laboratory physiological tests?

作者信息

Psotta R, Bunc V, Hendl J, Tenney D, Heller J

机构信息

Faculty of Physical Education and Sport, Charles University, Prague, Czech Republic.

出版信息

J Sports Med Phys Fitness. 2011 Mar;51(1):18-25.

Abstract

AIM

The aim of this study was to investigate multiple regression models with prediction equations that would enable a valid estimate of running repeated-sprint ability (RSA) in soccer players from the variables measured in field and laboratory physiological tests.

METHODS

Adolescent soccer players (N=33) performed five field performance tests and two laboratory tests for assessment of muscle strength of legs, sprint ability, anaerobic power and capacity, aerobic power and capacity, and running economy. These tests served as potential predictors of RSA. RSA was assessed by a intermittent anaerobic running test (IAnRT) consisted of ten 20 m sprints.

RESULTS

Multiple regression analysis revealed that the mean speed in the 20 m sprint test and the 2 km endurance running test accounted for 89% of total variation in the mean running speed in the IAnRT (VIAnRT) as the indicator of capacity for multiple sprint work (R2=0.89, SEM=0.09 m.s-1). Using the variables from the laboratory tests, the best prediction of the VIAnRT was obtained from the running speed at the ventilatory threshold level (VVT) and anaerobic power (Pmax.kg-1) (R2=0.49, SEM=0.21 m.s-1).

CONCLUSION

Performance in the multiple-sprint exercise as an indicator of RSA can be estimated by the regression equation with two predictors - mean speed in the 20 m sprint and 2 km running test with an error of 4%.

摘要

目的

本研究旨在探讨具有预测方程的多元回归模型,该模型能够根据在现场和实验室生理测试中测量的变量,对足球运动员的重复冲刺能力(RSA)进行有效估计。

方法

青少年足球运动员(N = 33)进行了五项现场表现测试和两项实验室测试,以评估腿部肌肉力量、冲刺能力、无氧功率和能力、有氧功率和能力以及跑步经济性。这些测试作为RSA的潜在预测指标。RSA通过由十次20米冲刺组成的间歇性无氧跑步测试(IAnRT)进行评估。

结果

多元回归分析显示,20米冲刺测试和2公里耐力跑测试中的平均速度占IAnRT中平均跑步速度总变异的89%,作为多次冲刺工作能力的指标(R2 = 0.89,标准误 = 0.09米·秒-1)。使用实验室测试中的变量,从通气阈值水平(VVT)的跑步速度和无氧功率(Pmax.kg-1)获得了对VIAnRT的最佳预测(R2 = 0.49,标准误 = 0.21米·秒-1)。

结论

作为RSA指标的多次冲刺运动表现可以通过具有两个预测指标的回归方程进行估计——20米冲刺和2公里跑步测试中的平均速度,误差为4%。

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