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AbstractBackgroundCollege‐aged young adults (e.g., 18 to 29‐year‐olds) use social media more than any other age group. An emerging body of literature shows that higher exposure to alcohol‐related social media content is associated with greater alcohol consumption among college students. However, most studies assess exposure to peer drinking on social media using global measures, rather than measuring the exposure to alcohol‐related posts of identified specific close peers. We examined whether having a higher proportion of important peers (i.e., social network members) who post alcohol‐related social media content is associated with greater alcohol consumption and alcohol‐related consequences. We also investigated the extent to which the qualities of network members who share alcohol‐related content are associated with participants' alcohol outcomes.MethodsParticipants were 130 college students (86.2% female, 56.9% White) with an average age of 23.39 years (SD = 5.63) who had consumed at least one alcoholic drink in the past week. Participants completed measures of their social media use, alcohol consumption, alcohol‐related consequences, and characteristics of important peers in their social network, including their alcohol‐related social media posting.ResultsHaving a higher proportion of social network members who post alcohol‐related social media content was positively related to participants' drinks per week and peak number of drinks. Higher network proportions of drinking buddies posting alcohol‐related content were also associated with a greater frequency of alcohol use. Having a higher proportion of friends who post alcohol content and from whom the participants seek advice was linked to more alcohol‐related consequences.ConclusionsHaving more important peers who post alcohol‐related content on social media is associated with alcohol outcomes among college students. Harm‐reduction focused alcohol interventions delivered on college campuses that incorporate information about the influence of viewing and sharing alcohol‐related content could help to reduce alcohol consumption and alcohol‐related consequences among students.

Simultaneous use of alcohol and marijuana (SAM) is common among U.S. college students, but little research has examined specific substance use behaviors during SAM use episodes. This study identified latent classes of SAM users based on their SAM, alcohol-only, and marijuana-only use episodes.College student SAM users (N = 284; 50.7% female; M age = 19.8 years) completed up to five surveys each day across two 4-week bursts. Latent class analysis (LCA) was used to characterize SAM users based on seven latent class indicators of use behavior. Sex was examined in relation to latent class membership.Five unique classes emerged: Frequent Marijuana-Focused SAM users (21%); Frequent Alcohol-Initiating SAM users (29%); Heavy-Drinking Infrequent SAM users (12%); Moderate SAM users (29%); and Light Infrequent SAM users (9%). These groups were differentiated primarily by their frequency of SAM use, form of marijuana, whether marijuana was used on non-SAM occasions, and whether consequences were experienced. Groups differed significantly by sex.College student SAM users are heterogeneous with respect not only to their degree of SAM use but also in their pattern of drinking, type of marijuana use, relative focus on alcohol versus marijuana, and risk of experiencing acute negative consequences. Describing this heterogeneity is an important step toward developing interventions for different types of users.

Background: Young adults are prolific media users and tend to use substances, such as alcohol, more than people of other ages. Despite much research on young adults’ exposure to alcohol advertisements and portrayals of alcohol use in the media, much is still unknown about the nuances of young adults’ exposure to and engagement with alcohol-related media content. The present paper examined how college students’ media exposure differed for messages portraying positive and negative alcohol effects, how exposure to alcohol-related content differed across media sources, which themes of alcoholrelated content were seen most, and whether exposure to alcohol-related content was associated with hazardous/harmful drinking. Method: Participants (N=500) were two- and four-year college students (Mage=20.90, SDage=1.70, 63.2% female) recruited for a longitudinal study examining the efficacy of a mobile app intervention for high-risk drinking college students. The data used here comes from the baseline survey. Results: Participants reported the greatest exposure to alcohol-related messages in movies/TV/on-demand streaming shows followed by in social media, and they reported greater exposure to messages portraying positive than negative effects of alcohol. Findings from linear regressions indicated that exposure to messages portraying positive or negative effects of alcohol generally did not predict hazardous/harmful drinking. Conclusion: This sample of high-risk college student drinkers reported seeing alcohol-related content through a variety of media sources, with most content portraying alcohol in a positive light. Future research should assess the effects that messages of different types and from different sources have on use, expectancies, norms, and other outcomes.

To examine the prevalence and correlates of lifetime cannabis use (i.e., experimental [use 1-5 times] and non-experimental [use ≥ 6 times]) in relation to interpersonal trauma (IPT) above and beyond relevant covariates.A large (n = 9,889) representative sample of college students at an urban university in the southeastern part of the United States.Participants were 4 cohorts of first-year college students who completed measures of demographics, cannabis, alcohol, nicotine, and IPT. Associations were estimated using multinomial logistic regressions.The prevalence of lifetime cannabis use was 28.1% and 17.4% for non-experimental and experimental cannabis use, respectively. IPT was significantly associated with experimental and non-experimental cannabis use above and beyond effects of sex, race, cohort, alcohol, and nicotine.Results show that cannabis use is prevalent among college students and is associated with IPT above and beyond associations with sex, race, and other substance use.

Background: Two disciplines that work in the child welfare arena, social welfare and healthcare, are crucial for addressing families’ and children’s needs in social, emotional, and physical healthcare situations. How child welfare workers are trained and how healthcare teams collaborate with other stakeholders in the child welfare system is crucial in meeting and sustaining the needs of families and children. Methods: We demonstrate two case examples, one focusing on enhanced learning tools through virtual reality (VR) and the other on strengthening collaborations between healthcare teams and the child welfare system. Results: For the VR training tool, 79% of participants indicated they would recommend the VR learning tool as effective in developing skills in the child welfare workforce. In response to the learning collaborative project, child welfare participants reported positive impressions regarding collaborative practices while identifying system-level barriers to implementation. Conclusion: Findings from these two case studies provide insights from which to consider system development for designing and implementing sustainable improvements in child welfare approaches to families and children referred for suspected maltreatment.

Abstract Objective: To describe the importance of community engagement from research projects and research centers in times of disasters or emergencies, using the case of Puerto Rico in recent years (2017 - 2022) as an example. Methods: First, research participants and stakeholders from local community and health organizations were contacted via email and phone calls after each emergency to assess their immediate needs. Second, needs were classified in categories (materials, educational resources, service referrals, and collaborations). Finally, delivery of support was coordinated in a timely manner whether in person or online. Results: Activities were conducted such as handing out materials, providing educational resources, contacting participants, and stakeholders, as well as coordinating collaboration with community and organizations. Conclusion: Several lessons were learned from our experiences related to Puerto Rico’s recent emergencies as well as some relevant recommendations for future disasters. The efforts presented illustrate the importance of community engagement from academic institutions in disasters. Research centers and research projects, particularly those with community engagement components, should consider providing support in the preparedness phase as well as the recovery phase if necessary. Community engagement in emergencies is crucial to recovery efforts as well as fostering empowerment and making an impact on individual and societal levels.

M-bridge was a sequential multiple assignment randomized trial (SMART) that aimed to develop a resource-efficient adaptive preventive intervention (API) to reduce binge drinking in first-year college students. The main results of M-bridge suggested no difference, on average, in binge drinking between students randomized to APIs versus assessment-only control, but certain elements of the API were beneficial for at-risk subgroups. This paper extends the main results of M-bridge through an exploratory analysis using Q-learning, a novel algorithm from the computer science literature. Specifically, we sought to further tailor the two aspects of the M-bridge APIs to an individual and test whether deep tailoring offers a benefit over assessment-only control. Q-learning is a method to estimate decision rules that assign optimal treatment (i.e., to minimize binge drinking) based on student characteristics. For the first aspect of the M-bridge API (when to offer), we identified the optimal tailoring characteristic post hoc from a set of 20 candidate variables. For the second (how to bridge), we used a known effect modifier from the trial. The results of our analysis are two rules that optimize (1) the timing of universal intervention for each student based on their motives for drinking and (2) the bridging strategy to indicated interventions (i.e., among those who continue to drink heavily mid-semester) based on mid-semester binge drinking frequency. We estimate that this newly tailored API, if offered to all first-year students, would reduce binge drinking by 1 occasion per 2.5 months (95% CI: decrease of 1.45 to 0.28 occasions, p < 0.01) on average. Our analyses demonstrate a real-world implementation of Q-learning for a substantive purpose, and, if replicable in future trials, our results have practical implications for college campuses aiming to reduce student binge drinking.

Little research has examined antecedents of specific drinking consequences (vomiting, regretted sex, hangover, blackouts) among college students. This research examined how students' experiences of past consequences relate to their beliefs of experiencing similar consequences in the future and how these beliefs relate to current drinking patterns.Self-reported past drinking behavior and resulting consequences associated with specific occasions were assessed among 303 (66% women) college students. Students also estimated number of drinks associated with risk of experiencing future similar consequences.Paired-samples t tests indicated that students significantly overestimated the number of drinks it would take to vomit, have unwanted sexual experiences, experience hangovers, and black out in comparison with the actual self-reported number of drinks consumed the last time identical consequences were experienced. In addition, a series of multiple-regression analyses revealed that greater misperceptions between the perceived and actual number of drinks associated with each type of consequence were consistently associated with heavier drinking.Results suggest that heavier-drinking students do not learn from their mistakes but instead overestimate the amount of alcohol they can consume without experiencing negative consequences. Clinical implications of these findings are discussed in terms of augmenting brief interventions aimed at heavy-drinking college students.