ABSTRACT. Objective: Marijuana use can result in a variety of negative consequences, yet it remains popular among young adults and the general public at large. Combined with the growing empirical support for the benefits of medicinal marijuana as well as the steady increase in popular opinion regarding its legalization, it is of growing importance to identify strategies that may mitigate the harms related to marijuana use, reduce consumption levels, and limit resulting negative consequences among young adults who use marijuana. The purpose of this study was to develop and conduct initial psychometric analyses on a new scale, which we named the Protective Behavioral Strategies for Marijuana (PBSM) scale. Method: A sample of undergraduate college students who reported past-6-month marijuana use (n = 210) responded to the initial pool of PBSM items and completed measures of marijuana use, consequences from marijuana use, alcohol use, and protective behavioral strategies for alcohol. Results: Results from an iterative principal component analyses process yielded a single-factor structure with 39 items. The PBSM mean composite score negatively associated with marijuana use and consequences, with the strongest correlations evident for pastmonth users. The PBSM also significantly positively correlated with alcohol protective strategies. Conclusions: Protective behavioral strategies for marijuana appear to be a measurable construct that are related to marijuana frequency and consequences, and thus may be a useful component of intervention and prevention programs with young adults. More work testing the PBSM items with larger and more diverse samples of young adults is encouraged. (J. Stud. Alcohol Drugs, 77, 441-450, 2016)

Objective Social influences on gambling among adolescents and adults have been well documented and may be particularly evident among college students, who have higher rates of problem and pathological gambling relative to the general population. Personalized normative feedback (PNF) is a brief intervention designed to correct misperceptions regarding the prevalence of problematic behavior by showing individuals engaging in such behaviors that their own behavior is atypical with respect to actual norms. The current randomized controlled trial evaluated a computer-delivered PNF intervention for problem gambling college students. Method Following a baseline assessment, 252 college student gamblers scoring 2+ on the South Oaks Gambling Screen (SOGS) were randomly assigned to receive PNF or attention-control feedback. Follow-up assessments were completed 3 and 6 months postintervention. Results Results indicated significant intervention effects in reducing perceived norms for quantities lost and won, and in reducing actual quantity lost and gambling problems at the 3-month follow-up. All intervention effects except reduced gambling problems remained at the 6-month follow-up. Mediation results indicated that changes in perceived norms at 3 months mediated the intervention effects. Further, the intervention effects were moderated by self-identification with other student gamblers, suggesting that PNF worked better at reducing gambling for those who more strongly identified with other student gamblers. Conclusions Results support the use of PNF as a stand-alone brief intervention for at-risk gambling students. Extending this approach more broadly may provide an accessible, empirically supported gambling prevention option for universities and related institutions.

Objective Given widespread alcohol misuse among college students, numerous intervention programs have been developed, including personalized normative feedback (PNF). Most research evaluating PNF assumes that presenting one's own perceived norms is necessary to correct normative misperceptions and thereby reduce drinking. Alternatively, simply providing social comparison information showing that one drinks more than others may be sufficient. The present study evaluated the efficacy of full PNF (one's own drinking, campus drinking rates, and perceived norms) and a partial personalized social comparison feedback (PSCF; one's own drinking and campus drinking rates) in a randomized trial among heavy-drinking college students. Method Participants included 623 heavy-drinking students from three universities. Assessments occurred at baseline and three- and six-months post-baseline. Results Primary analyses examined differences across four drinking outcomes (drinks per week, total drinks past month, frequency of past month drinking, and negative alcohol-related consequences) at three- and six-month follow-ups controlling for the baseline variable. Results revealed significant reductions across all alcohol consumption outcomes at three months in both intervention conditions compared to attention-control. Mediation analyses demonstrated significant indirect effects of the intervention on six-month drinking through changes in perceived norms at three months. Moreover, evidence emerged for changes in drinking at three months as a mediator of the association between PSCF and six-month perceived norms. Conclusions The present research suggests PNF may not require explicit consideration of one's perceived norms in order to be effective and that direct social comparison provides an alternative theoretical mechanism for PNF efficacy.

Purpose of the review To provide an overview of studies within the past five years examining the impact of social network factors on addictive behaviors among college students, to discuss gaps, limitations, and controversies in the field, and to summarize with a discussion of future directions and implications for interventions. Recent findings A review of 13 studies indicated that greater network exposure, centrality, reciprocated ties, and more tightly interconnected networks were associated with greater alcohol use and other addictive behaviors among college students. Summary Greater research is needed that expands beyond alcohol use to other addictive behaviors among college students. Additionally, more studies are needed that longitudinally study the impact of changes in social networks on addictive behaviors and vice versa, as well as studies examining sociocentric (whole) networks. Social network approaches offer innovative perspectives in understanding social influences on addictive behaviors and novel intervention strategies for potentially reducing addictive behaviors among college students.

Objective Computer-based interventions aimed at reducing college student drinking have shown positive effects. This paper compares differences in effects of computer-based personalized normative feedback (PNF) interventions based on delivery modality (in-person vs. remotely) across six previously evaluated studies with similar content. Method Three studies included evaluations of a computer-based PNF intervention where baseline and intervention procedures took place inside a laboratory setting; three separate studies included evaluations of the same intervention where participants completed the procedures remotely over the web. Thus, we tested for differences in intervention efficacy by delivery modality. Outcomes included drinks per week, drinking-related consequences, and the putative intervention mechanism, perceived drinking norms. Results Evidence from hierarchical linear models indicated that computer-based interventions are less effective at reducing drinking and related consequences when delivered remotely than when delivered in-person. Conclusion The advantages of interventions delivered remotely are not without cost. Suggestions for why remote computer-based interventions may be less effective are discussed.