Evidence of Differences in Diurnal Electrodermal, Temperature, and Heart Rate Patterns by Mental Health Status in Free-Living Data

Daniel McDuff, Isaac Galatzer-Levy, Seamus Thomson Thomson, Andrew Barakat, Conor Heneghan, Samy Abdel-Ghaffar, Jake Sunshine, Ming-Zher Poh, Lindsey Sunden, John Hernandez, Allen Jiang, Xin Liu, Ari Winbush, Benjamin Nelson, Nicholas B Allen
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Abstract

Electrodermal activity (EDA) is a measure of sympathetic arousal that has been linked to depression in laboratory experiments. However, the inability to measure EDA passively over time and in the real-world has limited conclusions that can be drawn about EDA as an indicator of mental health status outside of controlled settings. Recent smartwatches have begun to incorporate wrist-worn continuous EDA sensors that enable longitudinal measurement of sympathetic arousal in every-day life. This work (N=237, 4-week observation period) examines the association between passively collected, diurnal variations in EDA and symptoms of depression, anxiety and perceived stress in a large community sample. Subjects who exhibited elevated depressive and anxiety symptoms had higher tonic EDA, skin temperature, and heart rate, despite not engaging in greater physical activity, compared to those that were not depressed or anxious. In contrast, subjects who exhibited elevated stress only exhibited higher skin temperature. Most strikingly, differences in EDA between those with high versus low symptoms were most prominent during the early morning. We did not observe amplitude or phase differences in the diurnal patterns. Our work suggests that electrodermal sensors may be practical and useful in measuring the physiological correlates of mental health symptoms in free-living contexts and that recent consumer smartwatches might be a tool for doing so.
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自由生活数据中不同精神健康状况下昼夜电热、体温和心率模式差异的证据
皮电活动(EDA)是交感神经唤醒的一种测量方法,在实验室实验中与抑郁症有关。然而,由于无法在现实世界中长时间被动地测量 EDA,因此在受控环境之外将 EDA 作为心理健康状况指标的结论有限。最近的智能手表已经开始集成腕戴式连续 EDA 传感器,从而可以在日常生活中对交感神经唤醒进行纵向测量。这项研究(样本数=237,观察期为 4 周)在一个大型社区样本中研究了被动收集的 EDA 日间变化与抑郁症状、焦虑和感知压力之间的关联。与没有抑郁或焦虑的受试者相比,表现出抑郁和焦虑症状的受试者尽管没有进行更多的体力活动,但其强直性 EDA、皮肤温度和心率更高。相比之下,压力升高的受试者只表现出较高的皮肤温度。最引人注目的是,症状严重与症状较轻的受试者之间的 EDA 差异在清晨最为明显。我们没有观察到昼夜模式的振幅或相位差异。我们的研究表明,皮肤电传感器在测量自由生活环境下心理健康症状的生理相关性方面可能是实用和有用的,而最近推出的消费类智能手表可能是实现这一目标的工具。
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