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基于心率相关参数预测业余跑者的表现。

Prediction of performance by heart rate-derived parameters in recreational runners.

机构信息

a Department of Automatic Control and System Engineering , School of Engineering, University of the Basque Country, UPV/EHU , Bilbao , Spain.

b Department of Physiology, Faculty of Medicine and Nursing , University of the Basque Country, UPV/EHU , Leioa , Spain.

出版信息

J Sports Sci. 2018 Sep;36(18):2129-2137. doi: 10.1080/02640414.2018.1442185. Epub 2018 Feb 23.

Abstract

We investigated whether heart rate (HR)-derived parameters are accurate performance predictors in endurance recreational runners. One hundred thirty recreational athletes completed an incremental running test (4´running + 1´rest). After each stage, we recorded HR, % of maximum HR (%HRmax), and blood lactate. We also assessed HR after each recovery period, and calculated lactate and HR recovery thresholds and HR deflection point. We tested these parameters for associations with running performance, as measured by peak treadmill speed (PTS) and personal best International Association of Athletics Federations (IAAF) score. The %HRmax at 14.5 km·h correlated with PTS (r = -0.92), and IAAF score (rho = -0.80). The magnitudes of the correlations of lactate-related parameters with PTS (|r| = 0.84 to 0.86) or IAAF score (|rho| = 0.70 to 0.77) in absolute values were slightly lower. The correlations detected between other HR-derived parameters and running performance were weaker (|r or rho| = 0.24 to 0.70). Regression models identified %HRmax at 14.5 km·h as the strongest predictor of both PTS (β = -0.72) and IAAF score (β = -0.72). Consequently, tests based on %HRmax may provide a non-invasive and inexpensive alternate method for predicting the performance of these athletes.

摘要

我们研究了心率(HR)衍生参数是否能准确预测耐力型休闲跑步者的表现。130 名休闲运动员完成了递增跑步测试(4 分钟跑步+1 分钟休息)。在每个阶段结束后,我们记录了 HR、最大 HR 的百分比(%HRmax)和血乳酸。我们还评估了每个恢复期后的 HR,并计算了乳酸和 HR 恢复阈值以及 HR 偏转点。我们测试了这些参数与跑步机速度峰值(PTS)和个人最佳国际田径联合会(IAAF)得分的相关性,以衡量跑步表现。在 14.5 公里/小时时的%HRmax 与 PTS(r=-0.92)和 IAAF 得分(rho=-0.80)相关。乳酸相关参数与 PTS(|r|=0.84 至 0.86)或 IAAF 得分(|rho|=0.70 至 0.77)的相关性绝对值稍低。其他 HR 衍生参数与跑步表现之间检测到的相关性较弱(|r 或 rho|=0.24 至 0.70)。回归模型确定 14.5 公里/小时时的%HRmax 是 PTS(β=-0.72)和 IAAF 得分(β=-0.72)的最强预测指标。因此,基于%HRmax 的测试可能为预测这些运动员的表现提供一种非侵入性和经济实惠的替代方法。

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