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Mobile based study links insomnia and sympathovagal balance

机译:基于移动的研究将失眠与交感神经平衡联系起来

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Insomnia is a high prevalence sleep disorder. Current theories point towards the role of cognitive and physiological hyperarousal in the pathophysiology of Insomnia. Our aim was to investigate the potential application of autonomic nervous system viewed through the prism of heart rate variability for understanding and assessing insomnia. Inter beat intervals were recorded using a mobile app, SleepRate, and an off-the-shelf sport belt. 98 users who participated in a sleep assessment and therapy program were labeled by the app as insomniacs (IN). They were compared to 250 users who just monitored their sleep. Heart-rate variability analysis was performed for each night. Mean heart-rate in IN was significantly higher than in reference group (RG). Sympathovagal balance values for each of the different sleep stages and for the period prior to sleep onset were significantly higher in IN compared to the RG. Mobile technology enabled very large scale, measurement of physiological signals. The findings indicate an increased sympathetic predominance in IN. This is consistent with recent theories linking physiological hyperarousal and insomnia. The autonomic approach to sleep evaluation may be a useful alternative to the gold standard whole-night PSG for poor sleepers.
机译:失眠是一种高度流行的睡眠障碍。当前的理论指向认知和生理兴奋在失眠的病理生理学中的作用。我们的目的是研究通过心率变异性棱镜了解的自主神经系统在理解和评估失眠方面的潜在应用。使用移动应用程序SleepRate和现成的运动腰带记录心跳间隔。该应用程序将98位参与睡眠评估和治疗计划的用户标记为失眠症(IN)。将他们与刚刚监测睡眠的250位用户进行了比较。每晚进行心率变异性分析。 IN的平均心率显着高于参考组(RG)。与RG相比,IN的每个不同睡眠阶段和入睡前一段时间的交感神经平衡值明显更高。移动技术实现了生理信号的大规模测量。这些发现表明IN中的交感神经占主导地位。这与将生理性超音调和失眠联系在一起的最新理论是一致的。睡眠评估的自主方法可能是针对睡眠不足的黄金标准全夜PSG的有用替代方法。

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