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临界速度与马拉松跑步成绩的关系。

Relationship of critical velocity to marathon running performance.

作者信息

Florence S, Weir J P

机构信息

Department of Movement Sciences and Education, Teachers College, Columbia University, New York, N.Y., USA.

出版信息

Eur J Appl Physiol Occup Physiol. 1997;75(3):274-8. doi: 10.1007/s004210050160.

Abstract

The purpose of this investigation was to evaluate the critical velocity (CV) test for prediction of marathon running performance. Twelve subjects [mean age (SD) = 29 (4) years; mean body mass = 63 (13) kg] were tested for CV and completed the 1994 New York City Marathon. The CV (m.s-1) was determined from times to exhaustion at four treadmill running velocities. In addition, peak oxygen consumption (VO2peak; ml.kg-1.min-1) and ventilatory threshold (Thvent) were determined from an incremental treadmill test. The Thvent was calculated using bi-segmental linear regression and was expressed as the velocity (m.s-1) at Thvent. Separate simple linear regression analyses showed that marathon time [MT; mean (SD) = 231.9 (27.4) min] correlated more highly with CV [MT = 445.3 - 50.3 (CV); r2 = 0.76, SEE = 14.1 min] than either VO2peak [MT = 390.7-2.7 (VO2peak); r2 = 0.51, SEE = 20.1 min] or Thvent [MT = 353.5 - 30.1 (Thvent) r2 = 0.28, SEE = 27.4 min]. A stepwise regression analysis resulted in CV (entered first) and Thvent being included in the prediction equation [MT = 443.5-78.9 (CV) + 34.3 (Thvent). R2 = 0.88, SEE = 10.7 min], while VO2peak was not included. These preliminary data indicate that the CV test may be an attractive field test for assessing marathon performance capabilities.

摘要

本研究的目的是评估临界速度(CV)测试对预测马拉松跑步成绩的作用。12名受试者[平均年龄(标准差)=29(4)岁;平均体重=63(13)千克]接受了CV测试,并完成了1994年纽约市马拉松比赛。通过在四个跑步机跑步速度下达到疲劳的时间来确定CV(米/秒)。此外,通过递增跑步机测试确定最大摄氧量(VO2peak;毫升/千克·分钟)和通气阈值(Thvent)。Thvent使用双段线性回归计算,并表示为Thvent时的速度(米/秒)。单独的简单线性回归分析表明,马拉松时间[MT;平均(标准差)=231.9(27.4)分钟]与CV[MT = 445.3 - 50.3(CV);r2 = 0.76,标准误=14.1分钟]的相关性高于VO2peak[MT = 390.7 - 2.7(VO2peak);r2 = 0.51,标准误=20.1分钟]或Thvent[MT = 353.5 - 30.1(Thvent),r2 = 0.28,标准误=27.4分钟]。逐步回归分析结果显示,CV(首先进入)和Thvent被纳入预测方程[MT = 443.5 - 78.9(CV)+ 34.3(Thvent)。R2 = 0.88,标准误=10.7分钟],而VO2peak未被纳入。这些初步数据表明,CV测试可能是评估马拉松成绩能力的一种有吸引力的现场测试。

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