Yokota Miyo, Berglund Larry G, Santee William R, Buller Mark J, Hoyt Reed W
Geo-Centers, Inc, Natick, MA 01760, USA.
Aviat Space Environ Med. 2005 May;76(5):475-80.
Previous field studies suggested that a thermoregulatory model developed by the U.S. Army Research Institute of Environmental Medicine (USARIEM) needed an adjustment of initial core temperature (Tcr) for individual variation and a metabolic (M) correction during downhill movements. This study evaluated the updated version of the model incorporating these new features using a dataset collected during U.S. Marine Corps marksmanship training at Quantico, VA.
Individual anthropometrics, physiological, and environmental time series data were obtained from five Marine men. The study focused on the marksmanship training for approximately 2 h, then 30-min marching including uphill and downhill movements in a moderately hot environment (air temperature: approximately 30 degrees C; dew point: approximately 21 degrees C). The predicted and observed heart rate (HR) and Tcr measurements were compared by root mean square deviations (RMSD).
Overall, the current model improved predictions of physiological measures (HR RMSD = 23 bpm, Tcr RMSD = 0.46 degrees C), particularly for marching in the heat (HR RMSD = 21 bpm, Tcr RMSD = 0.32 degrees C). The model under-predicted both HR and Tcr during marksmanship training, indicating that a greater solar effect or non-thermal factors may have required higher M rates during these periods.
Updated features of the model significantly improved physiological predictions. However, accurate M estimates are required for slow movements of subjects under heat stress, such as movements on the firing range. Such improvement should result in more accurate simulations of physiological status and better risk assessment, thereby reducing heat injuries and improving performance of deployed military personnel.
先前的实地研究表明,美国陆军环境医学研究所(USARIEM)开发的体温调节模型需要针对个体差异调整初始核心体温(Tcr),并在下山运动期间进行代谢(M)校正。本研究使用在弗吉尼亚州匡蒂科进行的美国海军陆战队射击训练期间收集的数据集,评估了纳入这些新特征的模型更新版本。
从五名男性海军陆战队员那里获取了个体人体测量学、生理学和环境时间序列数据。该研究聚焦于约2小时的射击训练,然后是在中等炎热环境(气温:约30摄氏度;露点:约21摄氏度)中进行包括上坡和下坡运动的30分钟行军。通过均方根偏差(RMSD)比较预测和观察到的心率(HR)及Tcr测量值。
总体而言,当前模型改善了生理指标的预测(HR RMSD = 23次/分钟,Tcr RMSD = 0.46摄氏度),特别是在炎热环境中行军时(HR RMSD = 21次/分钟,Tcr RMSD = 0.32摄氏度)。该模型在射击训练期间对HR和Tcr均预测不足,表明在这些时间段可能需要更高的M率以应对更大的太阳效应或非热因素。
模型的更新特征显著改善了生理预测。然而,对于处于热应激下的受试者的缓慢运动,如在射击场上的运动,需要准确估计M。这种改进应能更准确地模拟生理状态并进行更好的风险评估,从而减少热损伤并提高部署的军事人员的表现。