Human Performance Laboratory (LocoLab), Department of Public Health, Experimental Medicine and Forensic Sciences, University of Pavia, Pavia, Italy.
LaBiodin, Biodynamics Laboratory, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.
PeerJ. 2024 Feb 26;12:e16940. doi: 10.7717/peerj.16940. eCollection 2024.
The maximal running speed (V) determined on a graded treadmill test is well-recognized as a running performance predictor. However, few studies have assessed the variables that predict V in recreationally active runners.
We used a mathematical procedure combining Fick's law and metabolic cost analysis to verify the relation between (1) V versus anthropometric and physiological determinants of running performance and, (2) theoretical metabolic cost versus running biomechanical parameters. Linear multiple regression and bivariate correlation were applied. We aimed to verify the biomechanical, physiological, and anthropometrical determinants of V in recreationally active runners. Fifteen recreationally active runners participated in this observational study. A Conconi and a stead-steady running test were applied using a heart rate monitor and a simple video camera to register the physiological and mechanical variables, respectively.
Statistical analysis revealed that the speed at the second ventilatory threshold, theoretical metabolic cost, and fat-mass percentage confidently estimated the individual running performance as follows: V = 58.632 + (-0.183 * fat percentage) + (-0.507 * heart rate percentage at second ventilatory threshold) + (7.959 * theoretical metabolic cost) (R = 0.62, = 0.011, RMSE = 1.50 km.h). Likewise, the theoretical metabolic cost was significantly explained (R = 0.91, = 0.004, RMSE = 0.013 a.u.) by the running spatiotemporal and elastic-related parameters (contact and aerial times, stride length and frequency, and vertical oscillation) as follows: theoretical metabolic cost = 10.421 + (4.282 * contact time) + (-3.795 * aerial time) + (-2.422 * stride length) + (-1.711 * stride frequency) + (0.107 * vertical oscillation).
Critical determinants of elastic mechanism, such as maximal vertical force and vertical and leg stiffness were unrelated to the metabolic economy. V, a valuable marker of running performance, and its physiological and biomechanical determinants can be effectively evaluated using a heart rate monitor, treadmill, and a digital camera, which can be used in the design of training programs to recreationally active runners.
在递增跑步机测试中确定的最大跑步速度（V）被公认为跑步表现的预测指标。然而，很少有研究评估预测休闲跑步者 V 的变量。
我们使用一种数学程序，结合 Fick 定律和代谢成本分析，验证了（1）V 与跑步表现的人体测量学和生理学决定因素之间的关系，以及（2）理论代谢成本与跑步生物力学参数之间的关系。应用线性多元回归和双变量相关。我们旨在验证休闲跑步者 V 的生物力学、生理学和人体测量学决定因素。15 名休闲跑步者参加了这项观察性研究。使用心率监测器和简单的摄像头分别应用 Conconi 和稳定跑步测试，以记录生理和机械变量。
统计分析显示，第二通气阈速度、理论代谢成本和脂肪百分比百分比自信地估计了个体的跑步表现，如下所示：V = 58.632 + (-0.183 * 脂肪百分比) + (-0.507 * 第二通气阈时的心率百分比) + (7.959 * 理论代谢成本)（R = 0.62， = 0.011，RMSE = 1.50 km.h）。同样，理论代谢成本由跑步时空和弹性相关参数（接触和空中时间、步长和频率以及垂直摆动）显著解释（R = 0.91， = 0.004，RMSE = 0.013 a.u.），如下所示：理论代谢成本= 10.421 + (4.282 * 接触时间) + (-3.795 * 空中时间) + (-2.422 * 步长) + (-1.711 * 步频) + (0.107 * 垂直摆动)。
弹性机制的关键决定因素，如最大垂直力和垂直和腿部刚度，与代谢经济性无关。V 是跑步表现的一个有价值的指标，其生理和生物力学决定因素可以使用心率监测器、跑步机和数字摄像头有效评估，这可以用于为休闲跑步者设计训练计划。
