Katić Katarina, Li Rongling, Kingma Boris, Zeiler Wim
Eindhoven University of Technology, Department of the Built Environment, De Zaale, PO Box 513, 5600 MB Eindhoven,The Netherlands.
Maastricht University, Department of Human Biology, P.O. Box 616, 6200 MD Maastricht, The Netherlands.
J Therm Biol. 2017 Oct;69:139-148. doi: 10.1016/j.jtherbio.2017.07.003. Epub 2017 Jul 12.
Skin temperature is a challenging parameter to predict due to the complex interaction of physical and physiological variations. Previous studies concerning the correlation of regional physiological characteristics and body composition showed that obese people have higher hand skin temperature compared to the normal weight people. To predict hand skin temperature in a different environment, a two-node hand thermophysiological model was developed and validated with published experimental data. In addition, a sensitivity analysis was performed which showed that the variations in skin blood flow and blood temperature are most influential on hand skin temperature. The hand model was applied to simulate the hand skin temperature of the obese and normal weight subgroup in different ambient conditions. Higher skin blood flow and blood temperature were used in the simulation of obese people. The results showed a good agreement with experimental data from the literature, with the maximum difference of 0.31°C. If the difference between blood flow and blood temperature of obese and normal weight people was not taken into account, the hand skin temperature of obese people was predicted with an average deviation of 1.42°C. In conclusion, when modelling hand skin temperatures, it should be considered that regional skin temperature distribution differs in obese and normal weight people.
由于物理和生理变化的复杂相互作用，皮肤温度是一个难以预测的参数。先前关于区域生理特征与身体成分相关性的研究表明，与正常体重的人相比，肥胖者的手部皮肤温度更高。为了预测不同环境下的手部皮肤温度，开发了一个双节点手部热生理模型，并利用已发表的实验数据进行了验证。此外，还进行了敏感性分析，结果表明皮肤血流量和血液温度的变化对手部皮肤温度影响最大。该手部模型被应用于模拟肥胖和正常体重亚组在不同环境条件下的手部皮肤温度。在模拟肥胖者时采用了更高的皮肤血流量和血液温度。结果与文献中的实验数据吻合良好，最大差异为0.31°C。如果不考虑肥胖者和正常体重者在血流量和血液温度上的差异，预测肥胖者的手部皮肤温度平均偏差为1.42°C。总之，在对手部皮肤温度进行建模时，应考虑到肥胖者和正常体重者的局部皮肤温度分布有所不同。
