Estimating psychophysiological loads by repeated temperature steps on humans using a state–space model
Miho Iwasaki, Yusuke Morito, Kyosuke Watanabe, Kiyoshi Kuroi, Shota Hori, Yoko Sakata, Kei Mizuno, Kazunobu Okazaki, Yasuyoshi Watanabe, Neelu Jain Gupta, Neelu Jain Gupta, Neelu Jain Gupta
TL;DR
This study explores how repeated temperature changes affect human psychophysiological loads and finds that larger temperature steps cause less stress on the autonomic nervous system.
Contribution
A novel Bayesian state–space model is used to estimate accumulated effects of temperature steps on human health.
Findings
Larger temperature steps (15 °C) caused less autonomic nervous system stress than smaller steps (10 °C).
Psychophysiological loads were continuously enhanced during temperature step trials.
The model distinguished accumulated effects from direct environmental change effects.
Abstract
Humans are exposed to daily temperature differences indoors and outdoors worldwide; however, the associated risks to health and fatigue remain unclear. This study aimed to clarify the psychophysiological loads by repeated short-term temperature differences on Japanese individuals. Herein, 28 healthy individuals were repeatedly moved between two temperature environments, and their psychological/physiological responses to temperature differences in the environment were recorded [T26-26 (control), T26-31 (5 °C step), T26-36 (10 °C step), and T21-36 (15 °C step)]. We precisely estimated the accumulated effects (load) of repeated temperature steps using a Bayesian state–space model, and distinguished them from the direct effects of environmental changes. The Load to the autonomic nervous system was continuously enhanced (decreased high-frequency of RRI and increased…
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Taxonomy
TopicsThermoregulation and physiological responses · Climate Change and Health Impacts · Heart Rate Variability and Autonomic Control