所有长跑运动员的代谢率是否都随跑步速度呈线性增长?

Sports medicine international open Pub Date : 2017-11-17 eCollection Date: 2018-01-01 DOI:10.1055/s-0043-122068
Matthew E Batliner, Shalaya Kipp, Alena M Grabowski, Rodger Kram, William C Byrnes
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引用次数: 0

摘要

跑步经济性(以次极限速度跑步时的摄氧量或代谢率)是决定长跑成绩的关键因素之一。以往的研究表明,摄氧量或新陈代谢率与速度之间存在线性关系,不同速度下的运输成本也不尽相同。我们对 10 名普通跑者和 10 名亚精英跑者的摄氧量、代谢率和运输成本进行了量化。在随后的每个 4 分钟阶段,我们将跑步机速度从 1.78 米-秒-1(第 1 天)和 2.01 米-秒-1(第 2 天)提高 0.45 米-秒-1,直到达到可引起 15 级感觉用力的速度。平均跑者的摄氧量和新陈代谢率与速度的关系用线性拟合描述得最好。相比之下,亚精英选手的关系则以曲线拟合的方式描述。对于亚精英跑者来说,从 3.58 米-秒-1 到 5.14 米-秒-1,氧气运输成本和能量运输成本分别增加了 12.8%和 9.6%。我们的研究结果表明,从中等次极限跑步速度(2.68-3.58 米-秒-1)下收集的数据无法准确预测亚精英竞技跑者比赛速度下的代谢率。为此,应在接近竞技比赛速度的情况下测量代谢率,并使用曲线拟合方法将代谢率推断为比赛速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Does Metabolic Rate Increase Linearly with Running Speed in all Distance Runners?

Does Metabolic Rate Increase Linearly with Running Speed in all Distance Runners?

Does Metabolic Rate Increase Linearly with Running Speed in all Distance Runners?

Does Metabolic Rate Increase Linearly with Running Speed in all Distance Runners?

Running economy (oxygen uptake or metabolic rate for running at a submaximal speed) is one of the key determinants of distance running performance. Previous studies reported linear relationships between oxygen uptake or metabolic rate and speed, and an invariant cost of transport across speed. We quantified oxygen uptake, metabolic rate, and cost of transport in 10 average and 10 sub-elite runners. We increased treadmill speed by 0.45 m · s -1 from 1.78 m · s -1 (day 1) and 2.01 m · s -1 (day 2) during each subsequent 4-min stage until reaching a speed that elicited a rating of perceived exertion of 15. Average runners' oxygen uptake and metabolic rate vs. speed relationships were best described by linear fits. In contrast, the sub-elite runners' relationships were best described by increasing curvilinear fits. For the sub-elites, oxygen cost of transport and energy cost of transport increased by 12.8% and 9.6%, respectively, from 3.58 to 5.14 m · s -1 . Our results indicate that it is not possible to accurately predict metabolic rates at race pace for sub-elite competitive runners from data collected at moderate submaximal running speeds (2.68-3.58 m · s -1 ). To do so, metabolic rate should be measured at speeds that approach competitive race pace and curvilinear fits should be used for extrapolation to race pace.

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