Effects of a digital cognitive behavioral therapy for insomnia on sleep and alcohol consumption in heavy drinkers: A randomized pilot study.

Effects of a digital cognitive behavioral therapy for insomnia on sleep and alcohol consumption in heavy drinkers: A randomized pilot study.
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数字认知行为疗法治疗失眠对重度饮酒者睡眠和饮酒的影响:一项随机试点研究。

DOI:
10.1111/acer.15209
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发表时间:
2023
期刊:
Alcohol, clinical & experimental research
影响因子:
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通讯作者:
Weafer,Jessica
Weafer,Jessica
中科院分区:
--
文献类型:
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作者:
Verlinden,JustinJ;Moloney,MaireadE;Vsevolozhskaya,OlgaA;Ritterband,LeeM;Winkel,Fiona;Weafer,Jessica

文献摘要

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背景:睡眠是酒精使用障碍的一个公认的潜在危险因素。因此,针对睡眠问题可以作为减少问题饮酒的一种新颖而有效的手段。在这里,我们研究了一个经过验证的、互动的、易于使用的、自定节奏的数字认知行为治疗失眠项目的潜在效用。在一项随机、单盲先导研究中,我们研究了睡眠健康使用互联网(SHUTi)治疗对重度饮酒者失眠患者饮酒和睡眠结果的影响。方法重度饮酒者男性(n= 28)和失眠症女性(n= 42)随机分为两组,一组完成SHUTi项目,另一组为对照患者教育项目。在基线、干预结束后立即、干预后3个月和干预后6个月对睡眠和酒精使用进行主观测量。使用失眠症严重程度指数和匹兹堡睡眠质量指数评估睡眠结果。使用30天时间轴跟踪日历评估饮酒结果。我们使用线性混合效应模型来比较各组失眠和饮酒的结果。结果对所有70例受试者(舒蒂40例,对照组30例)的数据进行分析。线性混合效应模型显示,随着时间的推移,舒提显著降低了失眠症状(p= 0.01)和饮酒结局(ps < 0.05)。趋势水平对睡眠质量的影响(p= 0.06)也被观察到。无不良事件报告。结论改善睡眠可能是减少危险人群危险饮酒的有效干预措施。此外,研究结果为在高风险人群中实施易于获得的健康行为干预提供了初步支持,该干预对公共卫生有重大影响。
BackgroundInsomnia is a well‐established, prospective risk factor for Alcohol Use Disorder. Thus, targeting sleep problems could serve as a novel and efficacious means of reducing problematic drinking. Here, we examined the potential utility of a well‐validated, interactive, easy to use, self‐paced digital cognitive behavioral therapy for insomnia program. In a randomized, single‐blind pilot study, we examined the impact of treatment with Sleep Healthy Using the Internet (SHUTi) on drinking and sleep outcomes in a sample of heavy drinkers with insomnia.MethodsHeavy drinking men (n= 28) and women (n= 42) with insomnia were randomly assigned to complete either the SHUTi program or a control patient education program. Subjective measures of sleep and alcohol use were administered at baseline, immediately following completion of the intervention, 3 months post‐intervention, and 6 months post‐intervention. Sleep outcomes were assessed using the Insomnia Severity Index and Pittsburgh Sleep Quality Index. Drinking outcomes were assessed using the 30‐Day Timeline Follow‐Back calendar. We used linear mixed effects models to compare groups on both insomnia and drinking outcomes.ResultsData from all 70 subjects (SHUTI:n= 40; control:n= 30) were analyzed. Linear mixed effects models showed that SHUTi significantly reduced insomnia symptoms (p= 0.01) and drinking outcomes (ps < 0.05) more than the control condition over time. Trend‐level effects on sleep quality (p= 0.06) were also observed. No adverse events were reported.ConclusionsImproving sleep may be an effective treatment intervention for reducing hazardous drinking in at‐risk individuals. Further, findings provide preliminary support for the implementation of an easily accessible health behavior intervention with significant public health impact in a high‐risk population.