Background Continued high alcohol consumption levels by college students highlight the need for more effective alcohol interventions and novel treatment engagement strategies. The purpose of this study was to investigate a behavioral sleep intervention as a means to engage heavy-drinking college students in treatment and reduce alcohol use and alcohol-related consequences. Methods Heavy-drinking college students (N=42) were assigned to 1 of 2 web-based interventions comprised of 4 modules delivered over 4 weeks. The experimental intervention focused primarily on sleep and included evidence-based sleep content (i.e., stimulus control instructions, sleep scheduling (consistent bed/rise times; ideal sleep duration for adolescents/young adults), sleep hygiene advice, relaxation training, cognitive strategies to target sleep-disruptive beliefs) and alcohol content (i.e., normative and blood alcohol level feedback, moderate drinking guidelines, controlled drinking strategies, effects of alcohol on sleep and the body, advice to moderate drinking for improved sleep) in young adults. The healthy behaviors control condition provided basic advice about nutrition, exercise, sleep (i.e., good sleep hygiene only) and drinking (i.e., effects of alcohol on the body, moderate drinking guidelines, advice to moderate drinking for sleep). Participants in both conditions monitored their sleep using daily web-based diaries and a wrist-worn sleep tracker. Results Recruitment ads targeting college students with sleep concerns effectively identified heavy-drinking students. The program generated a high number of inquiries and treatment completion rates were high. Both interventions significantly reduced typical week drinking and alcohol-related consequences and improved sleep quality and sleep-related impairment ratings. The control condition yielded greater reductions in total drinks in a heaviest drinking week. The effects on drinking were larger than those observed in typical brief alcohol intervention studies for college students. Greater sleep improvement tended to predict better subsequent drinking outcomes. The results suggest that sleep treatment may be a promising strategy for targeting and treating heavy-drinking college students.

The purpose of this mixed methods study was to describe the sleep and psychological characteristics of heavy drinking college students, their perceptions of sleep and sleep/alcohol interactions, and their reactions to a proposed integrated sleep and alcohol internet-based intervention. Students (N = 24) completed standardized surveys and participated in semi-structured focus group interviews. Participants reported a high degree of sleep disturbance, sleep obstacles, and sleep-related consequences, which were validated by both quantitative and qualitative investigations. Sleep disturbance and sleep-related impairment were associated with more frequent drinking and greater risks from drinking. Participants perceived that alcohol has positive and negative effects on sleep latency, continuity, and quality. They expressed overall enthusiasm for the intervention but had specific content and format preferences.

Prior studies have established an association between sleep problems during early adolescence and heavy alcohol use/alcohol use disorder (AUD) risk in late adolescence. Less research has explored the association between sleep problems and heavy alcohol use during young adulthood, the period when AUD onset peaks. Moreover, research to date has primarily utilized cross-sectional, between-subjects' methods to examine this relationship, with limited focus on the potential intraindividual variation in these behaviors. Multilevel modeling techniques are well-suited to examine the variability in sleep problems and risky alcohol use over time and the dynamic bidirectional relations among these behaviors. This article reports on 42 heavy-drinking college students at-risk for an AUD based on their responses to a validated alcohol screener who completed daily diaries of sleep and alcohol use and wore a sleep-wake activity monitor (i.e., Philips Respironics Actiwatch 2™) daily for 7 days yielding a total of 294 reports. Hierarchical linear models demonstrated that days of heavy drinking predicted delayed bed and wake times within individuals and those individuals who tended to drink more heavily on average had shorter sleep durations. Conversely, days of shorter sleep duration, earlier wake times, and greater perceived sleep quality upon waking predicted greater alcohol use within individuals, and those who tended to feel more alert upon waking drank more on average. These results highlight important within- and between-person variability in the associations among objective and subjective sleep-related problems and at-risk drinking among young adults. Further, the results have implications for alcohol prevention/intervention strategies for young adults at risk for AUDs. (PsycINFO Database Record

BackgroundIdentifying novel ways to recruit smokers for treatment studies is important. In particular, certain subgroups of adult smokers, such as heavy-drinking smokers, are at increased risk for serious medical problems and are less likely to try quitting smoking, so drawing this hard-to-reach population into treatment is important for improving health outcomes.ObjectiveThis study examined the utility of Facebook advertisements to recruit smokers and heavy-drinking smokers for treatment research and evaluated smoking and alcohol use and current treatment goals among those who responded to the Web-based survey.MethodsUsing Facebook’s advertising program, 3 separate advertisements ran for 2 months targeting smokers who were thinking about quitting. Advertisements were shown to adult (at least 18 years of age), English-speaking Facebook users in the greater New Haven, Connecticut, area. Participants were invited to complete a Web-based survey to determine initial eligibility for a smoking cessation research study.ResultsAdvertisements generated 1781 clicks and 272 valid, completed surveys in 2 months, with one advertisement generating the most interest. Facebook advertising was highly cost-effective, averaging $0.27 per click, $1.76 per completed survey, and $4.37 per participant meeting initial screening eligibility. On average, those who completed the Web-based survey were 36.8 (SD 10.4) years old, and 65.8% (179/272) were female. Advertisements were successful in reaching smokers; all respondents reported daily smoking (mean 16.2 [SD 7.0] cigarettes per day). The majority of smokers (254/272, 93.4%) were interested in changing their smoking behavior immediately. Many smokers (161/272, 59.2%) also reported heavy alcohol consumption at least once a month. Among smokers interested in reducing their alcohol use, more were heavy drinkers (45/56, 80.4%) compared to non-heavy drinkers (11/56, 19.6%; χ2[1,N=272]=13.0, P<.001). Of those who met initial screening eligibility from the Web-based survey, 12.7% (14/110) attended an in-person follow-up appointment.ConclusionsSocial media advertisements designed to target smokers were cost-effective and successful for reaching adult smokers interested in treatment. Additionally, recruiting for smokers reached those who also drink alcohol heavily, many of whom were interested in changing this behavior as well. However, additional social media strategies may be needed to engage individuals into treatment after completion of Web-based screening surveys.

The purpose of this mixed methods study was to describe the smoking and psychological characteristics of heavy-drinking smokers, their perceptions of smoking and drinking, and their smoking and alcohol treatment preferences to inform an integrated smoking and alcohol intervention. Heavy-drinking smokers (N = 26) completed standardized surveys and participated in semi-structured focus group interviews. Participants reported a strong association between their smoking and drinking. Participants were more motivated to quit smoking than to reduce their drinking but perceived greater barriers to smoking cessation. Stress/negative affect was closely linked with both behaviors. They expressed overall enthusiasm for a smoking and alcohol intervention but had specific format and content preferences. Half preferred an integrated treatment format whereas others preferred a sequential treatment model. The most preferred content included personalized health feedback and a way to monitor health gains after behavior changes.