描述部分耗竭后 W' 恢复的指数曲线。

IF 4.1 2区 医学 Q1 SPORT SCIENCES
Maarten Lievens, Michael Ghijs, Jan G Bourgois, Kobe M Vermeire, Gil Bourgois, Alessandro L Colosio, Jan Boone, Kevin Caen
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引用次数: 0

摘要

目的:本研究旨在描述部分 W'消耗后 W'恢复动力学的特征。我们假设,与单指数模型相比,双指数模型能更好地描述部分消耗后的 W' 恢复情况:九名健康男性进行了斜坡增量运动测试、三至五次恒定负荷试验以确定临界功率和 W',以及十次实验试验以量化 W'消耗。每次实验包括两次恒定负荷运动(WB1 + WB2),中间有一个恢复间歇。WB1 的设计目的是唤起 25% 或 75% 的 W' 消耗(DEP25% + DEP75%)。随后,参与者恢复 30、60、120、300 或 600 秒,然后进行 WB2 直至耗尽,以计算观察到的 W' 恢复量(W'OBS)。W'OBS 数据采用单指数和双指数模型进行拟合,两种模型的振幅都是可变的和固定的。计算均方根误差(RMSE)和阿凯克信息准则(AICc)来评估模型的拟合优度:结果:与单指数模型(2.9-8.0%)相比,双指数模型拟合的 RMSE 值总体较低(0.4-5.0%)。然而,对于振幅自由的模型拟合,ΔAICc 为负值(-15.5 和 -23.3),因此在两种耗竭条件下都倾向于使用单指数模型。对于振幅固定为 100%的模型拟合,ΔAICc 在 DEP25% 时为负值(-15.0),但在 DEP75% 时为正值(11.2)。两种耗竭条件下的 W'OBS 值密切相关(r = 0.92),与 V̇O2peak、CP 和 GET 呈正相关(r = 0.67-0.77):本研究结果并没有提供证据支持使用双指数建模技术来描述 W 在部分耗竭后的恢复情况。此外,我们还证明了固定的 t 值不足以建立不同消耗水平的 W' 恢复模型,而且 W' 恢复与有氧体能呈正相关。这些发现强调了在未来的W'预测模型中采用可变和个性化t值的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterizing the Exponential Profile of W' Recovery Following Partial Depletion.

Purpose: The aim of this study was to characterize W' recovery kinetics in response to a partial W' depletion. We hypothesized that W' recovery following a partial depletion would be better described by a biexponential than by a monoexponential model.

Methods: Nine healthy men performed a ramp incremental exercise test, three to five constant load trials to determine critical power and W', and 10 experimental trials to quantify W' depletion. Each experimental trial consisted of two constant load work bouts (WB1 and WB2) interspersed by a recovery interval. WB1 was designed to evoke a 25% or 75% W' depletion (DEP 25% and DEP 75% ). Subsequently, participants recovered for 30, 60, 120, 300, or 600 s and then performed WB2 to exhaustion to calculate the observed W' recovery (W' OBS ). W' OBS data were fitted using monoexponential and biexponential models, both with a variable and with a fixed model amplitude. Root mean square error and Akaike information criterion (AIC c ) were calculated to evaluate the models' goodness-of-fit.

Results: The biexponential model fits were associated with overall lower root mean square error values (0.4% to 5.0%) when compared with the monoexponential models (2.9% to 8.0%). However, ΔAIC c resulted in negative values (-15.5 and -23.3) for the model fits where the amplitude was kept free, thereby favoring the use of a monoexponential model for both depletion conditions. For the model fits where the amplitude was fixed at 100%, ΔAIC c was negative for DEP 25% (-15.0) but positive for DEP 75% (11.2). W' OBS values were strongly correlated between both depletion conditions ( r = 0.92) and positively associated with V̇O 2peak , critical power, and gas exchange threshold ( r = 0.67 to 0.77).

Conclusions: The present study results did not provide evidence in favor of a biexponential modeling technique to characterize W' recovery following a partial depletion. Moreover, we demonstrated that fixed time constants were insufficient to model W' recovery across different depletion levels, and that W' recovery was positively associated with aerobic fitness. These findings underline the importance of employing variable and individualized time constants in future predictive W' models.

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来源期刊
CiteScore
7.70
自引率
4.90%
发文量
2568
审稿时长
1 months
期刊介绍: Medicine & Science in Sports & Exercise® features original investigations, clinical studies, and comprehensive reviews on current topics in sports medicine and exercise science. With this leading multidisciplinary journal, exercise physiologists, physiatrists, physical therapists, team physicians, and athletic trainers get a vital exchange of information from basic and applied science, medicine, education, and allied health fields.
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