Justin J. Verlinden, Mairead E. Moloney, Olga A. Vsevolozhskaya, Lee M. Ritterband, Fiona Winkel, Jessica Weafer
{"title":"数字认知行为疗法治疗失眠对酗酒者睡眠和饮酒的影响:随机试点研究","authors":"Justin J. Verlinden, Mairead E. Moloney, Olga A. Vsevolozhskaya, Lee M. Ritterband, Fiona Winkel, Jessica Weafer","doi":"10.1111/acer.15209","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Insomnia 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.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Heavy drinking men (<i>n</i> = 28) and women (<i>n</i> = 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.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Data from all 70 subjects (SHUTI: <i>n</i> = 40; control: <i>n</i> = 30) were analyzed. Linear mixed effects models showed that SHUTi significantly reduced insomnia symptoms (<i>p</i> = 0.01) and drinking outcomes (<i>p</i>s < 0.05) more than the control condition over time. Trend-level effects on sleep quality (<i>p</i> = 0.06) were also observed. No adverse events were reported.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Improving 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.</p>\n </section>\n </div>","PeriodicalId":72145,"journal":{"name":"Alcohol (Hanover, York County, Pa.)","volume":"47 12","pages":"2354-2365"},"PeriodicalIF":2.7000,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Effects of a digital cognitive behavioral therapy for insomnia on sleep and alcohol consumption in heavy drinkers: A randomized pilot study\",\"authors\":\"Justin J. Verlinden, Mairead E. Moloney, Olga A. Vsevolozhskaya, Lee M. Ritterband, Fiona Winkel, Jessica Weafer\",\"doi\":\"10.1111/acer.15209\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Insomnia 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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>Heavy drinking men (<i>n</i> = 28) and women (<i>n</i> = 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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Data from all 70 subjects (SHUTI: <i>n</i> = 40; control: <i>n</i> = 30) were analyzed. Linear mixed effects models showed that SHUTi significantly reduced insomnia symptoms (<i>p</i> = 0.01) and drinking outcomes (<i>p</i>s < 0.05) more than the control condition over time. Trend-level effects on sleep quality (<i>p</i> = 0.06) were also observed. No adverse events were reported.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>Improving sleep may be an effective treatment intervention for reducing hazardous drinking in at-risk individuals. 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Effects of a digital cognitive behavioral therapy for insomnia on sleep and alcohol consumption in heavy drinkers: A randomized pilot study
Background
Insomnia 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.
Methods
Heavy 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.
Results
Data 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.
Conclusions
Improving 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.