Department of Psychiatry and Neurobehavioral Sciences, Center for Behavioral Health and Technology, University of Virginia School of Medicine, USA.
Department of Psychiatry and Neurobehavioral Sciences, Center for Behavioral Health and Technology, University of Virginia School of Medicine, USA.
Sleep Med. 2018 Jul;47:77-85. doi: 10.1016/j.sleep.2017.11.1140. Epub 2017 Dec 20.
The aim of this study was to investigate in a randomized clinical trial the role of sleep-related cognitive variables in the long-term efficacy of an online, fully automated cognitive behavioral therapy intervention for insomnia (CBT-I) (Sleep Healthy Using the Internet [SHUTi]).
Three hundred and three participants (M = 43.3 years; SD = 11.6) were randomly assigned to SHUTi or an online patient education condition and assessed at baseline, postintervention (nine weeks after baseline), and six and 12 months after the intervention period. Cognitive variables were self-reported internal and chance sleep locus of control, dysfunctional beliefs and attitudes about sleep (DBAS), sleep specific self-efficacy, and insomnia knowledge. Primary outcomes were self-reported online ratings of insomnia severity (Insomnia Severity Index), and sleep onset latency and wake after sleep onset from online sleep diaries, collected 12 months after the intervention period.
Those who received SHUTi had, at postassessment, higher levels of insomnia knowledge (95% confidence interval [CI] = 0.10-0.16) and internal sleep locus of control (95% CI = 0.04-0.55) as well as lower DBAS (95% CI = 1.52-2.39) and sleep locus of control attributed to chance (95% CI = 0.15-0.71). Insomnia knowledge, chance sleep locus of control, and DBAS mediated the relationship between condition and at least one 12-month postassessment sleep outcome. Within the SHUTi condition, changes in each cognitive variable (with the exception of internal sleep locus of control) predicted improvement in at least one sleep outcome one year later.
Online CBT-I may reduce the enormous public health burden of insomnia by changing underlying cognitive variables that lead to long-term changes in sleep outcomes.
本研究旨在通过一项随机临床试验,探究睡眠相关认知变量在在线、完全自动化认知行为疗法干预失眠(CBT-I)(使用互联网促进睡眠健康[SHUTi])的长期疗效中的作用。
303 名参与者(M=43.3 岁;SD=11.6)被随机分配到 SHUTi 或在线患者教育条件,并在基线、干预后(基线后 9 周)以及干预期后 6 个月和 12 个月进行评估。认知变量为自我报告的内部和机会睡眠控制、睡眠障碍信念和态度(DBAS)、睡眠特定自我效能和失眠知识。主要结果是自我报告的在线失眠严重程度(失眠严重程度指数)以及在线睡眠日记中记录的入睡潜伏期和睡眠后觉醒时间,在干预期后 12 个月收集。
接受 SHUTi 的参与者在干预后评估时,失眠知识水平更高(95%置信区间[CI]为 0.10-0.16),内部睡眠控制更高(95% CI 为 0.04-0.55),DBAS 更低(95% CI 为 1.52-2.39),归因于机会的睡眠控制更低(95% CI 为 0.15-0.71)。失眠知识、机会睡眠控制和 DBAS 介导了条件与至少一项 12 个月后评估的睡眠结果之间的关系。在 SHUTi 条件下,每个认知变量的变化(内部睡眠控制除外)都预测着一年后至少一项睡眠结果的改善。
在线 CBT-I 可能通过改变导致睡眠结果长期变化的潜在认知变量,减轻失眠这一巨大的公共健康负担。