A-STEM Centre, Faculty of Science & Engineering, Swansea University, Swansea, UK.
School of Biomedical, Nutritional and Sport Sciences, Newcastle University, Newcastle Upon Tyne, UK.
Eur J Sport Sci. 2023 Jul;23(7):1305-1314. doi: 10.1080/17461391.2022.2160278. Epub 2023 Jan 7.
The factors explaining variance in thermoneutral maximal oxygen uptake (O) adaptation to heat acclimation (HA) were evaluated, with consideration of HA programme parameters, biophysical variables and thermo-physiological responses. Seventy-one participants consented to perform iso-intensity training (range: 45%-55% O) in the heat (range: 30°C-38°C; 20%-60% relative humidity) on consecutive days (range: 5-days-14-days) for between 50-min and-90 min. The participants were evaluated for their thermoneutral O change pre-to-post HA. Participants' whole-body sweat rate, heart rate, core temperature, perceived exertion and thermal sensation and plasma volume were measured, and changes in these responses across the programme determined. Partial least squares regression was used to explain variance in the change in O across the programme using 24 variables. Sixty-three percent of the participants increased O more than the test error, with a mean ± SD improvement of 2.6 ± 7.9%. A two-component model minimised the root mean squared error and explained the greatest variance ( 65%) in O change. Eight variables positively contributed ( < 0.05) to the model: exercise intensity (%O), ambient temperature, HA training days, total exposure time, baseline body mass, thermal sensation, whole-body mass losses and the number of days between the final day of HA and the post-testing day. Within the ranges evaluated, iso-intensity HA improved O 63% of the time, with intensity - and volume-based parameters, alongside sufficient delays in post-testing being important considerations for O maximisation. Monitoring of thermal sensation and body mass losses during the programme offers an accessible way to gauge the degree of potential adaptation.
该研究旨在评估解释热适应(HA)过程中体温中性最大摄氧量(O)适应差异的因素,同时考虑 HA 方案参数、生理变量和生理反应。71 名参与者同意在连续几天(5-14 天)内,在热环境(30-38°C,相对湿度 20-60%)中进行等强度训练(45%-55%O),时间范围为 50-90 分钟。参与者在 HA 前后进行体温中性 O 变化评估。测量参与者的全身出汗率、心率、核心温度、自我感觉用力程度和热感觉以及血浆容量,并确定整个方案过程中这些反应的变化。使用偏最小二乘回归(PLSR),用 24 个变量来解释整个方案中 O 变化的差异。63%的参与者的 O 增加量超过了测试误差,平均改善率为 2.6±7.9%。两成分模型使均方根误差最小化,并解释了 O 变化的最大方差(65%)。8 个变量对模型有积极贡献( < 0.05):运动强度(%O)、环境温度、HA 训练天数、总暴露时间、基础体重、热感觉、全身质量损失和 HA 最后一天与测试后一天之间的天数。在评估范围内,等强度 HA 有 63%的时间可以提高 O,强度和基于体积的参数以及足够长的测试延迟是 O 最大化的重要考虑因素。在方案过程中监测热感觉和体重损失可以提供一种可衡量潜在适应程度的方法。