Computational estimation of decline in sweating in the elderly from measured body temperatures and sweating for passive heat exposure
Computational estimation of decline in sweating in the elderly from measured body temperatures and sweating for passive heat exposure
复制标题
DOI：
10.1088/0967-3334/33/8/n51
复制
发表时间：
2012-08-01
影响因子：
3.2
通讯作者：
Laakso, Ilkka
中科院分区：
文献类型：
--
作者：
Hirata, Akimasa;Nomura, Tomoki;Laakso, Ilkka
几项研究报告了年轻人和老年人耐热性的差异，这可能是由于出汗率的下降。其中一项研究提出了一种假设，即导致出汗减少的主要因素是由于从外围到调节中心的信号减弱而导致的热敏性下降。然而，在以往的研究中，没有对激活出汗的皮肤温度阈值进行定量研究。在这项研究中，我们开发了一个计算代码来模拟真实人体模型在热暴露下温度变化和出汗的时间演变，部分是通过将计算结果与年轻人和老年人的测量数据进行比较。基于我们的计算结果，研究了老年人和年轻人激活热生理反应（特别是出汗）的阈值温度的差异。老年人激活出汗的阈值约为1.5。比年轻的人高3摄氏度。然而，我们的计算并不表明，通过将计算结果与被动热暴露的测量结果进行比较，可以评估随年龄变化的中心变化，因为至少在这里考虑的情况下，出汗率受到核心温度升高的轻微影响。本文开发的计算技术有助于从测量数据中了解老年人的热生理反应。
Several studies reported the difference in heat tolerance between younger and older adults, which may be attributable to the decline in the sweating rate. One of the studies suggested a hypothesis that the dominant factor causing the decline in sweating was the decline in thermal sensitivity due to a weaker signal from the periphery to the regulatory centres. However, no quantitative investigation of the skin temperature threshold for activating the sweating has been conducted in previous studies. In this study, we developed a computational code to simulate the time evolution of the temperature variation and sweating in realistic human models under heat exposure, in part by comparing the computational results with measured data from younger and older adults. Based on our computational results, the difference in the threshold temperatures for activating the thermophysiological response, especially for sweating, is examined between older and younger adults. The threshold for activating sweating in older individuals was found to be about 1.5. degrees C higher than that in younger individuals. However, our computation did not suggest that it was possible to evaluate the central alteration with ageing by comparing the computation with the measurements for passive heat exposure, since the sweating rate is marginally affected by core temperature elevation at least for the scenarios considered here. The computational technique developed herein is useful for understanding the thermophysiological response of older individuals from measured data.