Prediction of Core Body Temperature Based on Skin Temperature, Heat Flux, and Heart Rate Under Different Exercise and Clothing Conditions in the Heat in Young Adult Males
Prediction of Core Body Temperature Based on Skin Temperature, Heat Flux, and Heart Rate Under Different Exercise and Clothing Conditions in the Heat in Young Adult Males
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DOI：
10.3389/fphys.2018.01780
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发表时间：
2018-12-10
影响因子：
4
通讯作者：
Annaheim, Simon
中科院分区：
文献类型：
--
作者：
Eggenberger, Patrick;MacRae, Braid A.;Annaheim, Simon
非侵入性、多参数估计核心体温的方法为监测热应变提供了几个优点，尽管还需要进一步的工作来确定最相关的预测措施。本研究旨在比较现有多参数直肠温度预测模型和两种新型多参数直肠温度预测模型的有效性。13名健康男性受试者(年龄30.9+/-5.4岁)进行了两次实验。实验程序包括15分钟基线坐息(23.2+/-0.3摄氏度，24.5+/-1.6%相对湿度)，然后在气候室(35.4+/-0.2摄氏度，56.5+/-3.9%相对湿度；至+1.5摄氏度或最高直肠温度38.5摄氏度，持续20-60分钟)中坐着休息15分钟，最后在气候室外坐姿休息30分钟。在第一次会议中，参与者以75%的最大心率(HR Max)进行锻炼，并穿着轻便运动服(t恤和短裤)，而在第二次会议中，参与者以50%的最高心率进行锻炼，穿着防护消防服(夹克和裤子)。第一个新的预测模型，包括18个非侵入性测量，即隔热和非隔热皮肤温度、热流和心率(“最大输入模型”，估计的标准误差[见]=0.28摄氏度，R2=0.70)，没有超过先前报道的模型的预测能力，该模型包括6个测量和没有隔热皮肤温度(SEE=0.28摄氏度，R2=0.71)。此外，第二个新的预测模型只包含两个最相关的参数(肩胛骨的心率和绝缘皮肤温度)，表现类似(“最小输入模型”，SEE=0.29，R-2=0.68)。总而言之，“最小输入模型”在估计直肠温度方面提供了类似的有效性和更好的实用性(只有两个测量参数)，而其他两个模型需要六个或更多的输入测量。
Non-invasive, multi-parameter methods to estimate core body temperature offer several advantages for monitoring thermal strain, although further work is required to identify the most relevant predictor measures. This study aimed to compare the validity of an existing and two novel multi-parameter rectal temperature prediction models. Thirteen healthy male participants (age 30.9 +/- 5.4 years) performed two experimental sessions. The experimental procedure comprised 15 min baseline seated rest (23.2 +/- 0.3 degrees C, 24.5 +/- 1.6% relative humidity), followed by 15 min seated rest and cycling in a climatic chamber (35.4 +/- 0.2 degrees C, 56.5 +/- 3.9% relative humidity; to +1.5 degrees C or maximally 38.5 degrees C rectal temperature, duration 20-60 min), with a final 30 min seated rest outside the chamber. In session 1, participants exercised at 75% of their heart rate maximum (HR max) and wore light athletic clothing (t-shirt and shorts), while in session 2, participants exercised at 50% HR max, wearing protective firefighter clothing (jacket and trousers). The first new prediction model, comprising the input of 18 non-invasive measures, i.e., insulated and non-insulated skin temperature, heat flux, and heart rate ("Max-Input Model", standard error of the estimate [SEE] = 0.28 degrees C, R-2 = 0.70), did not exceed the predictive power of a previously reported model which included six measures and no insulated skin temperatures (SEE = 0.28 degrees C, R-2 = 0.71). Moreover, a second new prediction model that contained only the two most relevant parameters (heart rate and insulated skin temperature at the scapula) performed similarly ("Min-Input Model", SEE = 0.29, R-2 = 0.68). In conclusion, the "Min-Input Model" provided comparable validity and superior practicality (only two measurement parameters) for estimating rectal temperature versus two other models requiring six or more input measures.