Faculty of Medicine and Health, University of Sydney, Camperdown, New South Wales, Australia.
Research Institute of Sports and Exercise, University of Canberra, Bruce, Canberra, Australia.
J Appl Physiol (1985). 2024 Oct 1;137(4):1014-1020. doi: 10.1152/japplphysiol.00829.2023. Epub 2024 Aug 29.
This article 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 for cycle and treadmill trials, respectively. The 95% confidence intervals were modest for cycle ergometer (+0.25 and -0.22 L·h) and treadmill exercise (+0.33 and -0.29 L·h). 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). This study presents the development of new proprietary whole body sweat rate prediction models for people exercising indoors on a cycle ergometer or treadmill using simple input parameters and delivered through a publicly available online calculator: https://sweatratecalculator.com. In an independent validation group, the predictive models for both indoor cycling and treadmill exercise were accurate across moderate to high exercise intensities in temperate to hot conditions. These equations will enable individualized hydration management during physical training and exercise physiology experiments.
本文描述了针对在室内进行的自行车和跑步机运动的个体的精确全身出汗率预测方程的开发和验证,在这些运动中可以测量或从简单输入中得出功率输出。对于自行车运动,112 次试验(67 名参与者)用于模型开发,另外 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(约 40%至 85%的最大有氧能力)条件下进行,这些条件在模型开发和验证中是匹配的。全身出汗率是通过测量得到的,并开发了专用的预测模型(考虑了所有相关的生理因素),然后进行了验证。对于模型验证,预测出汗率的平均绝对误差分别为 0.01 和 0.02 L·h,用于自行车和跑步机试验。自行车运动的 95%置信区间为+0.25 和-0.22 L·h,跑步机运动为+0.33 和-0.29 L·h。自行车和跑步机运动的预测值与实测值之间的解释方差分别为 92%和 78%。Bland-Altman 分析表明,自行车和跑步机运动的预测值分别有 0.01 和 0.02 个超出了事先可接受的一致性水平(相当于 3 小时内总体重的±2%)。有较少的女性参与者的试验,但她们的值与男性的预期值没有差异。这是首个开发和验证中等至高强度室内跑步机和自行车运动全身出汗率预测方程的研究。这些预测方程可在公共网站上使用(https://sweatratecalculator.com)。本研究介绍了一种新的专有的全身出汗率预测模型的开发,该模型用于在室内使用自行车或跑步机进行中等至高强度的运动,使用简单的输入参数,并通过公共在线计算器提供:https://sweatratecalculator.com。在一个独立的验证组中,室内自行车和跑步机运动的预测模型在温和到炎热条件下的中等至高强度运动中均具有准确性。这些方程将使个性化的水合管理在体能训练和运动生理学实验中成为可能。