通过使用可穿戴睡眠设备来改变人们对睡眠的看法会改善失眠吗?一项随机研究的方案(新型失眠治疗实验)。

Marie-Antoinette Spina, Thomas Andrillon, Joshua F Wiley, Shantha M W Rajaratnam, Bei Bei
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引用次数: 1

摘要

研究目的:失眠在普通人群中很常见,根据自我报告的睡眠抱怨进行诊断。客观记录的睡眠和自我报告的睡眠之间经常存在差异(睡眠-觉醒状态差异),尤其是失眠患者。尽管睡眠-觉醒状态的差异在文献中有很好的记录,但人们并没有很好地理解它。该方案描述了一项随机对照研究的方法,该研究将检查提供关于客观记录的睡眠的监测和反馈,并支持对睡眠-觉醒状态差异的解释,是否能改善失眠症状,并将探索潜在的变化机制。方法:参与者为90名有失眠症状(失眠严重程度指数[ISI]≥10)的人。参与者将被随机分为两种情况之一:(1)干预:关于客观记录的睡眠的反馈(活动图和可选脑电图头带),并提供数据解释指导;(2)对照:睡眠卫生会议。这两种情况都将涉及单独的会议和两个登记电话。主要结果是ISI评分。次要结果包括与睡眠相关的障碍、焦虑和抑郁症状以及其他睡眠和生活质量指标。结果将在基线和干预后使用经过验证的仪器进行评估。讨论:随着测量睡眠的可穿戴设备数量的增加,有必要了解如何利用这些设备提供的睡眠数据来治疗失眠。这项研究的结果有可能更好地了解失眠患者的睡眠-觉醒状态差异,并揭示补充当前失眠治疗的新方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Does changing perceptions of sleep by incorporating sleep wearables improve insomnia? Protocol for a randomized study (the Novel Insomnia Treatment Experiment).

Does changing perceptions of sleep by incorporating sleep wearables improve insomnia? Protocol for a randomized study (the Novel Insomnia Treatment Experiment).

Study objectives: Insomnia is common in the general population and is diagnosed based on self-reported sleep complaints. There is a frequent discrepancy between objectively recorded and self-reported sleep (sleep-wake state discrepancy), especially in individuals with insomnia. Although sleep-wake state discrepancy is well-documented in the literature, it is not well understood. This protocol describes the methodology of a randomized control study, which will examine whether providing monitoring and feedback about objectively recorded sleep with support for interpretation of sleep-wake state discrepancy improves insomnia symptoms and will explore the potential mechanisms of change.

Methods: Participants are 90 individuals with insomnia symptoms (Insomnia Severity Index [ISI] ≥10). Participants will be randomized to one of two conditions: (1) Intervention: feedback about objectively recorded sleep (actigraph and optional electroencephalogram headband) with guidance for data interpretation, (2) Control: sleep hygiene session. Both conditions will involve individual sessions and two check-in calls. The primary outcome is ISI score. Secondary outcomes include sleep-related impairment, symptoms of anxiety and depression, and other sleep and quality of life measures. Outcomes will be assessed using validated instruments at baseline and post-intervention.

Discussion: With increasing number of wearable devices that measure sleep, there is a need to understand how sleep data provided by these devices could be utilized in the treatment of insomnia. Findings from this study have the potential to better understand sleep-wake state discrepancy in insomnia and uncover new approaches to supplement current insomnia treatment.

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