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最大有氧能力与有氧适能的关系作为信噪比的函数。

Relationship between maximal aerobic power with aerobic fitness as a function of signal-to-noise ratio.

机构信息

Department of Physical Therapy, Federal University of São Carlos, São Carlos, São Paulo, Brazil.

Universidade Ibirapuera, São Paulo, São Paulo, Brazil.

出版信息

J Appl Physiol (1985). 2020 Sep 1;129(3):522-532. doi: 10.1152/japplphysiol.00310.2020. Epub 2020 Jul 30.

Abstract

Efforts to better understand cardiorespiratory health are relevant for the future development of optimized physical activity programs. We aimed to explore the impact of the signal quality on the expected associations between the ability of the aerobic system in supplying energy as fast as possible during moderate exercise transitions with its maximum capacity to supply energy during maximal exertion. It was hypothesized that a slower aerobic system response during moderate exercise transitions is associated with a lower maximal aerobic power; however, this relationship relies on the quality of the oxygen uptake data set. Forty-three apparently healthy participants performed a moderate constant work rate (CWR) followed by a pseudorandom binary sequence (PRBS) exercise protocol on a cycle ergometer. Participants also performed a maximum incremental cardiopulmonary exercise testing (CPET). The maximal aerobic power was evaluated by the peak oxygen uptake during the CPET, and the aerobic fitness was estimated from different approaches for oxygen uptake dynamics analysis during the CWR and PRBS protocols at different levels of signal-to-noise ratio. The product moment correlation coefficient was used to evaluate the correlation level between variables. Aerobic fitness was correlated with maximum aerobic power, but this correlation increased as a function of the signal-to-noise ratio. Aerobic fitness is related to maximal aerobic power; however, this association appeared to be highly dependent on the data quality and analysis for aerobic fitness evaluation. Our results show that simpler moderate exercise protocols might be as good as maximal exertion exercise protocols to obtain indexes related to cardiorespiratory health. Optimized methods for cardiorespiratory health evaluation are of great interest for public health. Moderate exercise protocols might be as good as maximum exertion exercise protocols to evaluate cardiorespiratory health. Pseudorandom or constant workload moderate exercise can be used to evaluate cardiorespiratory health.

摘要

努力更好地了解心肺健康对于未来优化体力活动计划的发展是相关的。我们旨在探讨信号质量对有氧系统在中等运动过渡期间尽快供应能量的能力与其在最大用力期间供应能量的最大能力之间预期关联的影响。假设有氧系统在中等运动过渡期间的反应较慢与最大有氧能力较低有关;然而,这种关系依赖于氧气摄取数据集的质量。43 名明显健康的参与者在自行车测功机上进行了中等恒定工作率 (CWR) 后紧接着进行伪随机二进制序列 (PRBS) 运动方案。参与者还进行了最大递增心肺运动测试 (CPET)。最大有氧能力通过 CPET 期间的最大摄氧量来评估,而有氧健身则通过不同的方法来评估 CWR 和 PRBS 方案在不同信噪比水平下的摄氧量动力学分析。使用积矩相关系数评估变量之间的相关水平。有氧健身与最大有氧能力相关,但这种相关性随着信噪比的增加而增加。有氧健身与最大有氧能力有关;然而,这种关联似乎高度依赖于数据质量和有氧健身评估的分析。我们的结果表明,更简单的中等运动方案可能与最大用力运动方案一样好,可以获得与心肺健康相关的指标。优化的心肺健康评估方法对于公共卫生非常重要。中等运动方案可能与最大用力运动方案一样好,可以评估心肺健康。伪随机或恒定负荷中等运动可以用于评估心肺健康。

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