用临界功率模型预测严重和极端强度区域的运动耐力

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2023-09-05 eCollection Date: 2023-10-01 DOI:10.5114/jhk/170101

Thiago Pereira Ventura, Fernando Klitzke Borszcz, Diego Antunes, Fabrizio Caputo, Tiago Turnes

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引用次数: 0

摘要

本研究旨在评估不同临界功率(CP)模型在剧烈和极端强度领域对自行车运动耐力的预测能力。19名自行车运动员(年龄:23.0±2.7岁)进行了多次疲劳时间测试(lim)，以确定CP、CP以上的有限工作(W')和达到最大耗氧量的最高恒定工作速率(IHIGH)。采用双曲功率-时间、线性功率-时间逆和工作时间模型及三个预测试验来确定CP和W'。采用两次预测试验的CP工作时间模型进行建模，以确定CP和W'。比较所有CP模型预测的IHIGH的实际运动耐量和高于IHIGH 5%的强度(IHIGH+5%)。实际IHIGH(155±30 s)和IHIGH+5%(120±26 s)的表现与三个预测试验中所有模型的预测结果没有差异。两个预测试验的建模高估了Tlim在IHIGH+5%(129±33秒);P = 0.04)。IHIGH+5%的Bland-Altman图在所有CP预测中呈现显著的异方差，但IHIGH没有。通过三个预测试验得出的CP可以预测剧烈和极端运动耐量。然而，这种能力在极端领域内受损。

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Prediction of Exercise Tolerance in the Severe and Extreme Intensity Domains by a Critical Power Model.

This study aimed to assess the predictive capability of different critical power (CP) models on cycling exercise tolerance in the severe- and extreme-intensity domains. Nineteen cyclists (age: 23.0 ± 2.7 y) performed several time-to-exhaustion tests (Tlim) to determine CP, finite work above CP (W'), and the highest constant work rate at which maximal oxygen consumption was attained (I_HIGH). Hyperbolic power-time, linear power-inverse of time, and work-time models with three predictive trials were used to determine CP and W'. Modeling with two predictive trials of the CP work-time model was also used to determine CP and W'. Actual exercise tolerance of I_HIGH and intensity 5% above I_HIGH (I_HIGH+5%) were compared to those predicted by all CP models. Actual I_HIGH (155 ± 30 s) and I_HIGH+5% (120 ± 26 s) performances were not different from those predicted by all models with three predictive trials. Modeling with two predictive trials overestimated Tlim at I_HIGH+5% (129 ± 33 s; p = 0.04). Bland-Altman plots of I_HIGH+5% presented significant heteroscedasticity by all CP predictions, but not for I_HIGH. Exercise tolerance in the severe and extreme domains can be predicted by CP derived from three predictive trials. However, this ability is impaired within the extreme domain.

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.