全身出汗率预测:室内跑步机和自行车测力计运动。

IF 3.3 3区 医学 Q1 PHYSIOLOGY
Ollie Jay, Julien D Périard, Lindsey Hunt, Haiyu Ren, HyunGyu Suh, Richard R Gonzalez, Michael N Sawka
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引用次数: 0

摘要

本文介绍了针对进行室内自行车测力计运动和跑步机运动的人的精确全身出汗率预测方程的开发和验证,在这两种运动中,可以测量功率输出或通过简单输入得出功率输出。在自行车测力计运动中,有 112 次试验(67 名参与者)用于模型开发,另有 56 次试验(42 名参与者)用于模型验证。对于跑步机运动,171 次试验(67 名参与者)用于模型开发,另外 95 次试验(63 名参与者)用于模型验证。试验是在一系列干球温度(20˚C 至 40˚C)、相对湿度(14% 至 60%)和运动强度(有氧功率峰值的约 40% 至 85%)条件下进行的,这些条件在模型开发和模型验证之间是匹配的。测量了全身出汗率,开发了专有预测模型(考虑了所有相关的生物物理因素),然后进行了验证。在模型验证中,自行车和跑步机试验预测出汗率的平均绝对误差分别为 0.01 和 0.02 L-h-1。自行车测力计(+0.25 和 -0.22升/小时-1)和跑步机运动(+0.33 和 -0.29升/小时-1)的 95% 置信区间适中。自行车运动和跑步机运动的预测值与测量值之间的方差占比分别为 92% 和 78%。Bland-Altman分析表明,自行车运动和跑步机运动的预测值分别有0和1个超过了先验可接受的一致性水平(相当于3小时内总体重的±2%)。女性受试者的试验次数较少,但其值与男性的预期值没有差异。这是针对中高强度室内跑步机和自行车测力计运动开发和验证全身出汗率预测方程的最重要研究。这些预测方程可公开使用 (https://sweatratecalculator.com)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Whole-Body Sweat Rate Prediction: Indoor Treadmill and Cycle Ergometer Exercise.

This paper describes the development and validation of accurate whole-body sweat rate prediction equations for individuals performing indoor cycle ergometer and treadmill exercise, where power output can be measured or derived from simple inputs. For cycle ergometry, 112 trials (67 participants) were used for model development and another 56 trials (42 participants) for model validation. For treadmill exercise, 171 trials (67 participants) were used for model development and another 95 trials (63 participants) for model validation. Trials were conducted over a range of dry-bulb temperature (20˚C to 40˚C), relative humidity (14% to 60%) and exercise intensity (~40% to 85% of peak aerobic power) conditions, which were matched between model development and model validation. Whole-body sweat rates were measured, and proprietary prediction models were developed (accounting for all relevant biophysical factors) and then validated. For model validation, mean absolute error for predicted sweating rate was 0.01 and 0.02 L·h-1 for cycle and treadmill trials, respectively. The 95% confidence intervals were modest for cycle ergometer (+0.25 and -0.22 L·h-1) and treadmill exercise (+0.33 and -0.29 L·h-1). The accounted for variance between predicted and measured values was 92% and 78% for cycle and treadmill exercise, respectively. Bland-Altman analysis indicated that zero and one predicted value exceeded the a priori acceptable level of agreement (equivalent to ±2% of total body mass in 3 h) for cycle and treadmill exercise, respectively. There were fewer trials with female subjects, but their values did not differ from those expected for males. This is the foremost study to develop and validate whole-body sweat rate prediction equations for indoor treadmill and cycle ergometer exercise of moderate-to-high intensity. These prediction equations are publicly available for use (https://sweatratecalculator.com).

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来源期刊
CiteScore
6.00
自引率
9.10%
发文量
296
审稿时长
2-4 weeks
期刊介绍: The Journal of Applied Physiology publishes the highest quality original research and reviews that examine novel adaptive and integrative physiological mechanisms in humans and animals that advance the field. The journal encourages the submission of manuscripts that examine the acute and adaptive responses of various organs, tissues, cells and/or molecular pathways to environmental, physiological and/or pathophysiological stressors. As an applied physiology journal, topics of interest are not limited to a particular organ system. The journal, therefore, considers a wide array of integrative and translational research topics examining the mechanisms involved in disease processes and mitigation strategies, as well as the promotion of health and well-being throughout the lifespan. Priority is given to manuscripts that provide mechanistic insight deemed to exert an impact on the field.
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