Determinants of 800-m and 1500-m running performance using allometric models
Determinants of 800-m and 1500-m running performance using allometric models
复制标题
DOI：
10.1249/mss.0b013e31815a83dc
复制
发表时间：
2008-02-01
期刊：
影响因子：
--
通讯作者：
Nevill, Alan M.
中科院分区：
文献类型：
--
作者：
Ingham, Stephen A.;Whyte, Gregory P.;Nevill, Alan M.
目的：采用比例异速生长模型，确定优秀中长跑运动员（MDR）成绩的最佳有氧决定因素。研究方法：对62名国内外男女800米和1500米跑运动员进行了递增负荷运动试验。平均次极量跑步经济性（ECON）、乳酸阈速度（speedLT）、最大摄氧量（VO 2 max）和与VO 2 max相关的速度（speedVO（2 max））与30 d内记录的最佳表现时间配对。使用比例幂函数ANCOVA模型分析数据。结果如下：分析发现，性别和距离对跑步速度有显著影响，VO 2 max和ECON作为协变量预测因子（P < 0.0001）。结果表明，跑步速度和比率（VO2max.ECON-0.71）（0.35）之间存在成比例的曲线关联，解释了95.9%的性能方差。该模型与另一组训练有素的MDR进行了交叉验证，证明预测和实际性能速度（R-2 = 93.6%）之间具有很强的一致性（95%限值，0.05 +/- 0.29 m.s（-1））。该模型表明，对于最大摄氧量为3.81 L.min（-1）、经济学为15的男子1500 m跑运动员L.km要从250 s提高到240 s，需要将最大摄氧量从3.81 L.min（-1）改变为4.28 L.min（-1），增量为0.47 L.min（-1）。然而，从225秒到215秒以10秒的相同幅度改善将需要VO 2 max的更大增加，从5.14升.min（-1）增加到5.85升.min（-1），Delta增加0.71升.min（-1）（其中ECON保持不变）。结论：VO 2 max除以ECON的比例曲线比率解释了MDR性能的95.9%的方差。
Purpose: To identify the optimal aerobic determinants of elite, middle-distance running (MDR) performance, using proportional allometric models. Methods: Sixty-two national and international male and female 800-m and 1500-m runners undertook an incremental exercise test to volitional exhaustion. Mean submaximal running economy (ECON), speed at lactate threshold (speedLT), maximum oxygen uptake (VO2max), and speed associated with VO2max (speedVO(2max)) were paired with best performance times recorded within 30 d. The data were analyzed using a proportional power-function ANCOVA model. Results: The analysis identified significant differences in running speeds with main effects for sex and distance, with VO2max and ECON as the covariate predictors (P < 0.0001). The results suggest a proportional curvilinear association between running speed and the ratio (VO2max.ECON-0.71) (0.35) explaining 95.9% of the variance in performance. The model was cross-validated with a further group of highly trained MDR, demonstrating strong agreement (95% limits, 0.05 +/- 0.29 m.s(-1)) between predicted and actual performance speeds (R-2 = 93.6%). The model indicates that for a male 1500-m runner with a VO2max of 3.81 L.min(-1) and ECON of 15 L.km(-1) to improve from 250 to 240 s, it would require a change in VO2max from 3.81 to 4.28 L.min(-1), an increase of Delta 0.47 L.min(-1). However, improving by the same margin of 10 s from 225 to 215 s would require a much greater increase in VO2max, from 5.14 to 5.85 L.min(-1) an increase of Delta 0.71 L.min(-1) (where ECON remains constant). Conclusion: A proportional curvilinear ratio Of VO2max divided by ECON explains 95.9% of the variance in MDR performance.