| Literature DB >> 25288884 |
Alyssa T Brooks1, Gwenyth R Wallen1.
Abstract
Sleep disturbances are common among alcohol-dependent individuals and are often associated with relapse. The utility of behavioral therapies for sleep disturbances, including cognitive-behavioral therapy for insomnia (CBT-I), among those with alcohol-related disorders is not well understood. This review systematically evaluates the evidence of CBT-I and related behavioral therapies applied to those with alcohol-related disorders and accompanying sleep disturbances. A search of four research databases (PubMed, PsycINFO, Embase, and CINAHL Plus) yielded six studies that met selection criteria. Articles were reviewed using Cochrane's Grades of Recommendation, Assessment, Development, and Evaluation (GRADE) scoring system. A majority of the studies demonstrated significant improvements in sleep efficiency among behavioral therapy treatment group(s), including but not limited to CBT-I. While behavioral sleep interventions have been successful in varied populations, they may not be utilized to their full potential among those with alcohol-related disorders as evidenced by the low number of studies found. These findings suggest a need for mixed-methods research on individuals' sleep experience to inform interventions that are acceptable to the target population.Entities:
Keywords: CBT-I; alcohol disorders; alcoholism; cognitive-behavioral therapy for insomnia; insomnia; sleep disturbances
Year: 2014 PMID: 25288884 PMCID: PMC4179428 DOI: 10.4137/SART.S18446
Source DB: PubMed Journal: Subst Abuse ISSN: 1178-2218
Figure 1Flowchart of literature search.
Non-pharmacologic sleep interventions for individuals with alcohol-related disorders: selected articles and findings.
| AUTHOR/YEAR | SAMPLE | INTERVENTION | SLEEP MEASURES | METHOD OF DELIVERY | KEY FINDINGS | LIMITATIONS | RATING |
|---|---|---|---|---|---|---|---|
| Arnedt et al., 2007 | n = 7, 43% female, 38.6 years (± 10.8), 85.7% caucasian, alcohol-dependent (based on DSM-IV) | 8 individual CBT-I sessions | Daily sleep diaries, Insomnia Severity Index | In-person | Improvements in depression / anxiety, fatigue, sleep efficiency, QOL | No control group, no follow-up assessments | Low |
| Arnedt et al., 2011 | n = 17, 35% female, 46.2 years (± 10.1), 77.8% caucasian, alcohol-dependent | 9 individual CBT-I for AD treatments | Daily sleep diaries, Insomnia Severity Index | In-person | Sleep efficiency, WASO, general fatigue improved in treatment group | 40% attrition, self-reported data | Moderate |
| Bootzin and Stevens, 2005 (and Britton et al., 2010) | n = 55, 38% female, 16.35 years (± 1.23), 2/3 caucasian, recent completers of OP substance abuse treatment programs | 6 therapy sessions including MBSR, CBT-I components, bright light therapy | Daily sleep diaries, actiwatches during baseline and posttreatment, dim light melatonin onset (in lab) | In-person | Improved SE, SOL, WASO, total sleep time, and diary ratings on quality / soundness of sleep among those who completed 4+ sessions - mindful-ness meditation practice frequency associated with improvements in sleep, emotional distress, reduced substance use | No control condition, conducted among adolescents only, bright light therapy’s effect on | Low |
| Currie et al., 2004 | n = 60, 30% female, 43.3 years (± 10.9), diagnosed with alcohol dependence, variation in length of remission | 3 treatment conditions which included a CBT-I arm (5 one-hour sessions of individual therapy) | Sleep diaries, PSQI, SII, actigraphy | In-person | Improved sleep quality, sleep efficiency, SOL, and WASO maintained for 6 months post-treatment; not corroborated by actigraphy | 30% had 12 months or more of pre-treatment abstinence, improvements in sleep still put people in dysfunctional range even after 6 months | High |
| Greeff and conradie, 1998 | n = 37, 0% female, 45.5 years (± 9.5), diagnosed with alcoholism (DSM-III-R?) | 10 sessions of progressive relaxation training offered by a psychologist | Questionnaire designed by Tworetzky (1975) - assessing history and treatment for sleep problems, sleep diary | In-person | Treatment group had significant difference in sleep quality pre- and post-treatment | Only men, no follow-up assessments, did not control for possible effects of other treatments | Moderate |
Notes:
Given the paucity of literature on behavioral sleep interventions, we included this study in our review despite the fact that the sample was younger than that of the other studies, so interpretation of results may differ. Additionally, the participants in this study were in treatment for general substance abuse (many were multi-drug users, though virtually all reported ever using alcohol).
Levels of quality of a body of evidence in the GRADE approach.
| UNDERLYING METHODOLOGY | QUALITY RATING |
|---|---|
| Randomized trials; or double-upgraded observational studies. | |
| Downgraded randomized trials; or upgraded observational studies. | |
| Double-downgraded randomized trials; or observational studies. | |
| Triple-downgraded randomized trials; or downgraded observational studies; or case series/case reports. |
Note: Adapted from: http://handbook.cochrane.org/chapter_12/table_12_2_a_levels_of_quality_of_a_body_of_evidence_in_the.htm
Methods of non-pharmacologic sleep intervention delivery.
| METHOD | AUTHORS / YEAR | RESULTS |
|---|---|---|
| Telephone-delivered CBT-I | Troxel, Germain, and Buysse, 2012 | Developed briefer alternative to standard CBT-I intervention including two phone sessions to address barriers to widespread dissemination of the therapy |
| Arnedt et al., 2013 | CBT-I delivered by phone was more beneficial than information (pamphlet) control; more CBT-I phone participants showed improvements in unhelpful sleep-related cognitions and were classified as “in remission” from insomnia at follow-up | |
| Computerized therapy for insomnia | Cheng and Dizon, 2012 | Meta-analysis concluded that computerized CBT-I (cCBT-I) is a “mildly to moderately effective” self-help therapy for short-term treatment of insomnia; average number of sessions needed for treatment was 3.59; estimated that one in every four patients treated with computerized CBT-I will recover from chronic insomnia |
| Ritterband et al., 2009 | Internet intervention for insomnia group experienced significantly better sleep compared to control group; internet has potential for delivery of structured behavioral programs for insomnia | |
| Ritterband et al., 2012 | Internet-based CBT-I program to improve insomnia symptoms (among cancer survivors) using components of CBT-I including sleep restriction, stimulus control, cognitive restructuring, sleep hygiene, and relapse prevention; intervention significantly improved insomnia severity, sleep efficiency, sleep onset latency, general fatigue | |
| Riley et al., 2010 | Designed automated program delivering stimulus control and sleep restriction strategies; well-accepted and well-utilized by patients with primary insomnia | |
| Espie et al., 2012 | Web-based CBT course delivered via virtual therapist with automated support & a community forum; effective in improving sleep and associated daytime functioning of adults with insomnia; improvements maintained over time | |
| Lancee et al., 2012 | Assessed self-help for insomnia program and found that electronic and paper/pencil treatment conditions significantly better than control group on insomnia symptoms, daily sleep measures, depression, and anxiety; improvements maintained over 48-week follow-up | |
| Vincent and Lweycky, 2009 | 5-week online CBT-I course for adults with chronic insomnia consisting of psychoeduction, sleep hygiene, stimulus control, sleep restriction, relaxation training, cognitive therapy, and medication tapering assistance; online treatment group experienced significant improvements in sleep quality, insomnia severity, and daytime fatigue | |
| Vincent and Walsh, 2009 | Hyperarousal and time awake in bed partially mediated impact of computerized CBT on sleep at follow-up; pre-sleep arousal more significant in explaining change associated with computerized CBT-I | |
| Smartphones for behavioral sleep interventions | Behar et al., 2013 | Smartphone “apps” offer digital versions of questionnaires about sleep, infer nighttime wakefulness from body movement measured through accelerometer, monitor sound of snoring, help with sleep apnea; “powerful tools that offer both computational and communication opportunities which can be leveraged for the benefit of healthcare” |