Young Adult Alcohol and Cannabis Impaired Driving After the Opening of Cannabis Retail Stores in Washington State.

Motor vehicle crashes are a leading cause of death for young adults (YA) in the USA, and driving under the influence of alcohol (DUIA), cannabis (DUIC), and simultaneous use of both substances (DUIAC) are prominent risk factors. Trends in YA impaired driving behaviors after opening of cannabis retail stores have been understudied. We examined YA trends in DUIA, DUIC, and DUIAC from immediately prior through 5 years following the opening of cannabis retail outlets in Washington State (2014-2019). Differences in trends were assessed across age, sex, and urbanicity. Weighted logistic regressions assessed yearly change in prevalence of DUIA, DUIC, and DUIAC from 2014 to 2019, using annual statewide data from the Washington Young Adult Health Survey (n = 12,963; ages 18-25). Moderation of trends by age, sex, and urbanicity was assessed. Prevalence of DUIA decreased overall (AOR = 0.93, 95% CI 0.90, 0.97) and among drinkers (AOR = 0.95, 95% CI 0.91, 0.99) but remained at concerning levels in 2019 (10% overall; 16% among drinkers). Overall DUIC did not change significantly (AOR = 0.99, 95% CI 0.96, 1.03; 11% by 2019) but decreased among those who used cannabis (AOR = 0.91, 95% CI 0.86, 0.96; 33% by 2019). DUIAC decreased but not significantly (overall: AOR = 0.89, 95% CI 0.78, 1.01; those who used alcohol and cannabis: AOR = 0.84, 95% CI 0.74, 1.04). Prevalence of YA DUI remained concerning. Trends may reflect some success in reducing DUI, but additional detection and prevention are needed.

Whose Approval Matters Most? Examining Discrepancies in Self- and Other- Perceptions of Drinking.

BACKGROUND: Research demonstrates that perceptions of others' attitudes toward drinking behaviors (injunctive norms) are strong predictors of alcohol consumption and problems. Personalized normative feedback (PNF) aims to reduce the discrepancy between one's perception of others' attitudes toward drinking and others' actual attitudes toward drinking. An implicit assumption of PNF is that self and (perceived) other attitudes toward drinking are aligned (thus, shifting one's perceptions of others' attitudes shifts one's own attitudes). However, there is minimal research on the extent to which alignment (or discrepancy) in self-other attitudes toward drinking is associated with alcohol-related outcomes. METHODS: College students (N = 1,494; Mage = 20.11, 61.0% female, 66.4% White) who endorsed past-month heavy episodic drinking reported injunctive norms toward drinking on weekends, drinking daily, drinking to black out, and drinking and driving. Participants reported their perceptions of attitudes toward these drinking behaviors for three reference groups: close friends, typical university-affiliated peers, and parents. Outcomes included weekly drinking, alcohol problems, and alcohol-related risk. RESULTS: Response surface analyses indicated that alignment in approval (versus alignment in disapproval) of drinking demonstrated a linear association with alcohol-related outcomes. Discrepancies in self-peer and self-parent attitudes were associated with alcohol-related outcomes and one's own attitudes (versus one's ratings of others' attitudes) of drinking were more strongly associated with outcomes. CONCLUSIONS: Results provide evidence of how self-other discrepancies in attitudes toward drinking are associated with alcohol-related outcomes. Future work is needed to test whether self-other discrepancies in attitudes toward drinking impacts response to norms-based interventions.

The Relationship Between Alcohol and Drug Use, Compulsive Sexual Behavior, and Condomless Anal Sex in Men Who have Sex with Men: Analysis of Retrospectively-Reported Sexual Behavior.

Men who have sex with men (MSM) are disproportionately impacted by HIV in the United States, and substance use and compulsive sexual behavior (CSB) are contributors to HIV risk behavior. This study sought to examine the direct and interactive effects of concurrent substance use and CSB on condomless anal sex (CAS) in a community sample of MSM (N = 200) utilizing a 90-day timeline follow-back assessment. Results indicated CSB did not directly increase risk for CAS when controlling for substance use and age. There was limited evidence for a direct effect of concurrent alcohol use on CAS, and no evidence for an interaction effect with CSB. The relationship between concurrent drug use and CAS was moderated by CSB, such that concurrent drug use was positively associated with CAS for those who screened positive for CSB, while the association was non-significant for those who screened negative. Implications and limitations of these findings are discussed.

RESUMEN: En los Estados Unidos, los hombres que tienen sexo con hombres (HSH) se ven afectados de manera desproporcionada, por el VIH, el uso de sustancias y el comportamiento sexual compulsivo (CSB), lo que contribuye al comportamiento de riesgo del VIH. Este estudio buscó examinar los efectos directos e interactivos del uso simultáneo de sustancias y el CSB sobre el sexo anal sin condón (CAS) en una muestra comunitaria de HSH (N = 200) utilizando una evaluación de retrospectiva de 90 días. Los resultados indicaron que CSB no aumentó directamente el riesgo de CAS al controlar el uso de sustancias y la edad. Se encontró evidencia limitada de un efecto directo del consumo concurrente de alcohol sobre CAS y no se encontró evidencia de efecto de interacción con la CSB. La relación entre el uso concurrente de drogas y CAS fue moderada por CSB, de modo que el uso concurrente de drogas se asoció positivamente con CAS para aquellos que dieron positivo para CSB, mientras que la asociación no fue significativa para aquellos que dieron negativo. Se discuten las implicaciones y limitaciones de estos hallazgos.

Using Alcohol and Cannabis as Sleep Aids: Associations with Descriptive Norms Among College Students.

PURPOSE: Young adults may use alcohol and cannabis as sleep aids, a risky behavior that can worsen sleep health over time and lead to substance dependence. Perceived norms for such risky behaviors are often overestimated and related to one's own use. This cross-sectional study examined: (a) the extent to which college students overestimated the prevalence of alcohol and cannabis use as sleep aids (i.e., perceived descriptive norms), and (b) the extent to which perceived descriptive norms were associated with students' own use of alcohol and cannabis as sleep aids. METHODS: 2,642 undergraduate college students (Mage = 18.84 years) reported past 30-day use of alcohol and cannabis as sleep aids. Participants also estimated the percent of college students who use alcohol and cannabis as sleep aids (i.e., perceived descriptive norms). RESULTS: One-sample t-tests revealed participants, on average, overestimated the norms for using alcohol and cannabis as sleep aids. Participants who endorsed past 30-day use of these substances as sleep aids overestimated these norms to an even greater extent. Count regression models showed perceived descriptive norms were associated with students' use of alcohol and of cannabis as sleeps aids, in respective models, even when controlling for sleep difficulties. CONCLUSIONS: College students may overestimate the prevalence of using alcohol and cannabis as sleep aids, and students who believe these behaviors are more normative report more frequent use of these substances as sleep aids. Taken together, findings may highlight the potential for norm-correcting strategies as a prudent approach to reducing/preventing the use of alcohol and cannabis as sleep aids.

A Tutorial on Cognitive Diagnosis Modeling for Characterizing Mental Health Symptom Profiles Using Existing Item Responses.

In research applications, mental health problems such as alcohol-related problems and depression are commonly assessed and evaluated using scale scores or latent trait scores derived from factor analysis or item response theory models. This tutorial paper demonstrates the use of cognitive diagnosis models (CDMs) as an alternative approach to characterizing mental health problems of young adults when item-level data are available. Existing measurement approaches focus on estimating the general severity of a given mental health problem at the scale level as a unidimensional construct without accounting for other symptoms of related mental health problems. The prevailing approaches may ignore clinically meaningful presentations of related symptoms at the item level. The current study illustrates CDMs using item-level data from college students (40 items from 719 respondents; 34.6% men, 83.9% White, and 16.3% first-year students). Specifically, we evaluated the constellation of four postulated domains (i.e., alcohol-related problems, anxiety, hostility, and depression) as a set of attribute profiles using CDMs. After accounting for the impact of each attribute (i.e., postulated domain) on the estimates of attribute profiles, the results demonstrated that when items or attributes have limited information, CDMs can utilize item-level information in the associated attributes to generate potentially meaningful estimates and profiles, compared to analyzing each attribute independently. We introduce a novel visual inspection aid, the lens plot, for quantifying this gain. CDMs may be a useful analytical tool to capture respondents' risk and resilience for prevention research.

Brief Alcohol Interventions are Effective through 6 Months: Findings from Marginalized Zero-inflated Poisson and Negative Binomial Models in a Two-step IPD Meta-analysis.

To evaluate and optimize brief alcohol interventions (BAIs), it is critical to have a credible overall effect size estimate as a benchmark. Estimating such an effect size has been challenging because alcohol outcomes often represent responses from a mixture of individuals: those at high risk for alcohol misuse, occasional nondrinkers, and abstainers. Moreover, some BAIs exclusively focus on heavy drinkers, whereas others take a universal prevention approach. Depending on sample characteristics, the outcome distribution might have many zeros or very few zeros and overdispersion; consequently, the most appropriate statistical model may differ across studies. We synthesized individual participant data (IPD) from 19 studies in Project INTEGRATE (Mun et al., 2015b) that randomly allocated participants to intervention and control groups (N = 7,704 participants, 38.4% men, 74.7% White, 58.5% first-year students). We sequentially estimated marginalized zero-inflated Poisson (Long et al., 2014) or negative binomial regression models to obtain covariate-adjusted, study-specific intervention effect estimates in the first step, which were subsequently combined in a random-effects meta-analysis model in the second step. BAIs produced a statistically significant 8% advantage in the mean number of drinks at both 1-3 months (RR = 0.92, 95% CI = [0.85, 0.98]) and 6 months (RR = 0.92, 95% CI = [0.85, 0.99]) compared to controls. At 9-12 months, there was no statistically significant difference in the mean number of drinks between BAIs and controls. In conclusion, BAIs are effective at reducing the mean number of drinks through at least 6 months post intervention. IPD can play a critical role in deriving findings that could not be obtained in original individual studies or standard aggregate data meta-analyses.

Self-report methodology for quantifying standardized cannabis consumption in milligrams delta-9-tetrahydrocannabinol.

Background: There is currently no format-independent method to determine delta-9-tetrahydrocannabinol (THC) in milligrams for self-report studies.Objectives: Validate self-report method for quantifying mg THC from commercially available cannabis products using product labeling, which includes both net weight and product potency.Methods: 53 adult cannabis users (24 M, 29F), 21-39 years of age (M = 28.38, SD = 4.15), were instructed to report daily use via a weekly survey for two consecutive weeks, provide product label photographs, abstain from use for 24 h, submit a urine sample and complete the Cannabis Use Disorder Identification Test - Revised (CUDIT-R) and the Marijuana Craving Questionnaire - Short Form (MCQ-SF). Milligrams of THC were determined by multiplying quantity of product used by its THC concentration. Urine was analyzed for the urine metabolite 11-nor-carboxy-THC (THC-COOH) via liquid chromatography mass spectroscopy. THC and THC-COOH values were log10 transformed prior to correlational analyses.Results: Median daily THC consumption was 102.53 mg (M = 203.68, SD = 268.13). Thirty-three (62%) of the 53 participants reported using two or more formats over the 2-week period. There was a significant positive correlation between log10 THC-COOH and log10 THC mg (r(41) = .59, p < .001), log10 THC mg and MCQ-SF score (r(41) = .59, p < .001), and log10 THC mg dose and CUDIT-R score, (r(41) = .39, p = .010).Conclusion: Our label-based methodology provides consumption information across all modalities of cannabis use in standard units that can be combined across products for calculation of dose. It is a viable and valid method for quantifying mg of THC consumed and can be utilized in any region where cannabis is legal, and labeling is regulated.

Behavior change versus stability during the college-to-work transition: Life course and the "stickiness" of alcohol misuse at career entry.

To what extent and under what conditions do college graduates disengage from employment-incompatible behaviors during the college-to-work transition? Drawing from the life course perspective, we proposed a model highlighting considerable stability of employment-incompatible behaviors during initial months of organizational socialization. Our model predicted that maturing out of such behaviors, which is expected by employers and beneficial to career adjustment, would be more likely to occur given a conducive transition context. Using a large dataset tracking graduates from their last semester in college to up to approximately 1.5 years after graduation and with alcohol use as our empirical referent, we demonstrated that a pattern of high-risk drinking behavior may remain even after the transition into full-time employment. We further showed that lower levels of perceived cohort drinking norms and higher levels of mentoring were associated with a higher probability of maturing out, manifesting in a transition from a high-risk drinking profile before graduation to a moderate drinking profile after starting full-time employment. Finally, we found that maturing out was associated with lagged outcomes including lower levels of sleep problems and depression and fewer work days lost to absenteeism, thus underscoring the consequential nature of behavior profile shifts during the college-to-work transition.

Supervisor Undermining, Social Isolation and Subordinates' Problematic Drinking: The Role of Depression and Perceived Drinking Norms.

Findings regarding the mechanism underlying the impact of supervisor incivility on subordinate alcohol misuse remain equivocal. Specifically, some studies indicate that stress mediates the impact of supervisor incivility on subordinate alcohol misuse, while others, find no evidence for such an effect, suggesting the need to investigate other mechanisms. Extending Conservation of Resource (COR) theory and employing a longitudinal study design, this study examines two alternative mechanisms grounded on social isolation. The first suggests drinking as a resource-mobilizing response, with social isolation eliciting the perception of more permissive injunctive drinking norms, thus facilitating problematic drinking. The second suggests problematic drinking as a mode of coping with a negative emotional state elicited by social isolation, namely depression. Findings indicate that supervisor undermining's association with subsequent subordinate problematic drinking is serially mediated by social isolation and depression, with no support found for the first mechanism. Implications for research, practice and policy are discussed.

Cannabis Use Among Young Adults in Washington State After Legalization of Nonmedical Cannabis.

Objectives. To examine changes in prevalence of cannabis use and of cannabis use disorder symptomatology among young adults from 2014 to 2019 in Washington State, where nonmedical (or "recreational") cannabis was legalized in 2012 and retail stores opened in July 2014. Methods. We used 6 years of cross-sectional data collected annually from 2014 (premarket opening) to 2019 from 12 963 (∼2000 per year) young adults aged 18 to 25 years residing in Washington. Logistic regression models estimated yearly change in prevalence of cannabis use at different margins and related outcomes. Results. Prevalence of past-year, at least monthly, at least weekly, and daily use of cannabis increased for young adults, although increases were driven by changes among those aged 21 to 25 years. There was also a statistically significant increase in prevalence of endorsing at least 2 of 5 possible symptoms associated with cannabis use disorder. Conclusions. Among young adults in Washington, particularly those of legal age, prevalences of cannabis use and cannabis use disorder symptomatology have increased since legalization. This trend may require continued monitoring as the nonmedical cannabis market continues to evolve. (Am J Public Health. 2022;112(4):638-645. https://doi.org/10.2105/AJPH.2021.306641).

Prepartying and incapacitated rape: Is drinking a risk factor or an outcome?

BACKGROUND: Incapacitated rape (IR) is common in college and has been linked to heavier post-assault drinking and consequences, including blackouts. Following IR, college students may adjust their drinking in ways meant to increase perceived safety, such as enhancing situational control over one's drinks through prepartying, which is drinking before going out to a main social event. Although it is possible that prepartying could influence risk related to IR, it is unclear whether or how prepartying and IR are associated. METHODS: To address these gaps, we examined prepartying as both a risk factor and a consequence of IR, including the reasons for prepartying. Across two studies (Study 1 N = 1074; Study 2 N = 1753) of college women and men, we examined associations between IR and prepartying motives, alcohol consumption, and alcohol-related blackouts. RESULTS: Within the cross-sectional Study 1, negative binomial regressions revealed that having a history of IR was associated with more alcohol consumption and blackouts when prepartying. In a multivariate model, past-year IR was associated with preparty motives related to interpersonal enhancement, intimate pursuit, and barriers to consumption, but not situational control. Within the prospective Study 2, a path model revealed that preparty drinking was a prospective predictor of IR in the following year, but past-year IR did not predict subsequent prepartying. CONCLUSIONS: Findings revealed a robust link between recent history of IR and prepartying regardless of gender. Prepartying was a prospective risk factor for subsequent IR. Although more research in this area is needed, addressing prepartying in alcohol interventions may contribute to the prevention of negative outcomes, including sexual assault.

"On a night like this": A mixed-methods approach to understanding high-risk drinking events in college students.

BACKGROUND: Previous research indicates college students report heavier drinking on certain events (e.g., 21st birthday). While past research has identified heavier drinking events, students' own reports of which events are associated with elevated drinking remains understudied. The current study utilized mixed methods to explore potential high-risk drinking events (HRDE) for college student drinkers and how these events differed from typical drinking and each other. METHODS: College student drinkers (N = 204) reported the number of drinks they consume on nine predetermined events (e.g., Halloween). Students also responded to open-ended questions listing five events during which they had elevated drinking and indicating the amount consumed on each event. Open-ended responses were coded into similar event categories. Descriptive statistics for drinks consumed were calculated for predetermined and coded open-ended events. Chi-square analyses assessed differences in endorsement of open-ended events by birth sex, age group, and Greek membership. Two multilevel count regressions assessed within-person differences in number of drinks consumed between participants' typical drinking occasions and (1) highly endorsed open-ended events and (2) predetermined events. RESULTS: For all open-ended event categories, average number of drinks consumed exceeded heavy episodic drinking thresholds; however, there was substantial variability. Comparing predetermined events to participants' typical drinking indicated elevated drinking on participants' birthdays, New Year's Eve, Halloween, Finals, and Spring Break; significant differences between events also emerged. Comparison of open-ended categories to participants' typical drinking indicated elevated drinking on birthdays, celebrations, parties, and holidays; however, there were no significant differences between open-ended events. CONCLUSIONS: Students who drink alcohol report heavier drinking on specific calendar-based events (e.g., Spring Break). However, students also report non-calendar-related events (e.g., non-specific parties) as some of their highest drinking events. More research is needed to understand how intervention and prevention programs can be adapted to target both known calendar-based HRDE, and unknown, idiosyncratic HRDE.

College students' virtual and in-person drinking contexts during the COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic has resulted in pronounced changes for college students, including shifts in living situations and engagement in virtual environments. Although college drinking decreased at the onset of the pandemic, a nuanced understanding of pandemic-related changes in drinking contexts and the risks conferred by each context on alcohol use and related consequences have yet to be assessed. METHODS: Secondary data analyses were conducted on screening data from a large parent clinical trial assessing a college student drinking intervention (N = 1669). Participants across six cohorts (from Spring 2020 to Summer 2021) reported on the frequency of drinking in each context (i.e., outside the home, home alone, home with others in-person, and home with others virtually), typical amount of drinking, and seven alcohol-related consequence subscales. RESULTS: Descriptive statistics and negative binomial regressions indicated that the proportion and frequency of drinking at home virtually with others decreased, while drinking outside the home increased from Spring 2020 to Summer 2021. Limited differences were observed in the proportion or frequency of individuals drinking at home alone or at home with others in-person. Negative binomial and logistic regressions indicated that the frequency of drinking outside the home was most consistently associated with more alcohol-related consequences (i.e., six of the seven subscales). However, drinking at home was not without risks; drinking home alone was associated with abuse/dependence, personal, social, hangover, and social media consequences; drinking home with others virtually was associated with abuse/dependence and social consequences; drinking home with others in-person was associated with drunk texting/dialing. CONCLUSION: The proportion and frequency of drinking in certain contexts changed during the COVID-19 pandemic, although drinking outside the home represented the highest risk drinking context across the pandemic. Future prevention and intervention efforts may benefit from considering approaches specific to different drinking contexts.

A Systematic Review of the Balloon Analogue Risk Task (BART) in Alcohol Research.

Risk-taking propensity has been crucial to the investigation of alcohol use and consequences. One measure, the balloon analogue risk task (BART), has been used consistently over the past two decades. However, it is unclear how this measure is related to alcohol outcomes. This paper systematically reviews the literature on the BART and alcohol outcomes. First, direct associations between the BART and alcohol use are reviewed including correlations, group comparisons, the BART's prediction of alcohol outcomes and BART performance after consuming alcohol. Then, potential moderators that explain when and for whom the BART is related to alcohol outcomes are reviewed. Finally, potential mechanisms that explain how the BART and alcohol outcomes are related are reviewed. This review reveals patterns in the BART suggesting risk-taking propensity may be related to changes in alcohol use over time; however, there is little evidence to suggest BART scores increase after consuming alcohol. Yet, additional research suggests adjusted average pump scores may be too simplistic for the amount of information the BART captures and understanding individual's patterns of responses on the BART is important for investigating its relation to alcohol outcomes. Finally, this review opens up several future directions for research to understand how risk-taking propensity is related to alcohol outcomes.

Do Brief Alcohol Interventions Reduce Driving After Drinking Among College Students? A Two-step Meta-analysis of Individual Participant Data.

AIMS: College students who drink are at an increased risk of driving after drinking and alcohol-involved traffic accidents and deaths. Furthermore, the persistence of driving after drinking over time underscores a need for effective interventions to prevent future drunk driving in adulthood. The present study examined whether brief alcohol interventions (BAIs) for college students reduce driving after drinking. METHODS: A two-step meta-analysis of individual participant data (IPD) was conducted using a combined sample of 6801 college students from 15 randomized controlled trials (38% male, 72% White and 58% first-year students). BAIs included individually delivered Motivational Interviewing with Personalized Feedback (MI + PF), Group Motivational Interviewing (GMI), and stand-alone Personalized Feedback (PF) interventions. Two outcome variables, driving after two+/three+ drinks and driving after four+/five+ drinks, were checked, harmonized and analyzed separately for each study and then combined for meta-analysis and meta-regression analysis. RESULTS: BAIs lowered the risk of driving after four+/five+ drinks (19% difference in the odds of driving after drinking favoring BAIs vs. control), but not the risk of driving after two+/three+ drinks (9% difference). Subsequent subgroup analysis indicated that the MI + PF intervention was comparatively better than PF or GMI. CONCLUSIONS: BAIs provide a harm reduction approach to college drinking. Hence, it is encouraging that BAIs reduce the risk of driving after heavy drinking among college students. However, there may be opportunities to enhance the intervention content and timing to be more relevant for driving after drinking and improve the outcome assessment and reporting to demonstrate its effect.

A Structural Equation Modeling Approach to Meta-analytic Mediation Analysis Using Individual Participant Data: Testing Protective Behavioral Strategies as a Mediator of Brief Motivational Intervention Effects on Alcohol-Related Problems.

This paper introduces a meta-analytic mediation analysis approach for individual participant data (IPD) from multiple studies. Mediation analysis evaluates whether the effectiveness of an intervention on health outcomes occurs because of change in a key behavior targeted by the intervention. However, individual trials are often statistically underpowered to test mediation hypotheses. Existing approaches for evaluating mediation in the meta-analytic context are limited by their reliance on aggregate data; thus, findings may be confounded with study-level differences unrelated to the pathway of interest. To overcome the limitations of existing meta-analytic mediation approaches, we used a one-stage estimation approach using structural equation modeling (SEM) to combine IPD from multiple studies for mediation analysis. This approach (1) accounts for the clustering of participants within studies, (2) accommodates missing data via multiple imputation, and (3) allows valid inferences about the indirect (i.e., mediated) effects via bootstrapped confidence intervals. We used data (N = 3691 from 10 studies) from Project INTEGRATE (Mun et al. Psychology of Addictive Behaviors, 29, 34-48, 2015) to illustrate the SEM approach to meta-analytic mediation analysis by testing whether improvements in the use of protective behavioral strategies mediate the effectiveness of brief motivational interventions for alcohol-related problems among college students. To facilitate the application of the methodology, we provide annotated computer code in R and data for replication. At a substantive level, stand-alone personalized feedback interventions reduced alcohol-related problems via greater use of protective behavioral strategies; however, the net-mediated effect across strategies was small in size, on average.

Behavioral Willingness, Descriptive Normative Perceptions, and Prescription Stimulant Misuse among Young Adults 18-20.

Objective: It is critical to gain further understanding of etiologic factors, such as descriptive normative perceptions and behavioral willingness, that are associated with prescription stimulant misuse (PSM) among young adults. Our primary hypotheses were that descriptive normative perceptions for PSM (i.e., perceptions of how much and how often others engage in PSM) and perceived peer willingness (i.e., perceptions of how open others are to PSM under certain circumstances) would be positively associated with higher willingness to engage in PSM, which in turn would account for significant shared variance with self-reported PSM. Method: Data were collected from a U.S. sample of 18-20-year-olds (N = 1,065; 54.5% females; 70.5% White) recruited for a larger study on alcohol-related risky sexual behavior. Results: Findings indicated higher descriptive normative perceptions and higher perceived peer willingness were associated with higher participants' willingness to engage in PSM. Participants' own willingness was positively associated with PSM. Finally, participants' own willingness to use, descriptive normative perceptions, and perceived peer willingness were associated with higher willingness to engage in PSM, which accounted for significant shared variance with self-reported PSM. Conclusions: Findings suggest the potential utility of personalized feedback interventions for PSM that focus on constructs such as descriptive normative perceptions and behavioral willingness.

Leveraging dynamic norms to reduce alcohol use among college students: A proof-of-concept experimental study.

BACKGROUND: Norm-correcting interventions are an effective alcohol harm-reduction approach, but innovation is needed to increase modest effect sizes. Recent social psychology research shows that individuals may be influenced by social norms that are increasing in prevalence. Contrary to static norms that reflect the current state of normative behavior, dynamic norms reflect behavioral norms that are shifting over time. This proof-of-concept study tested the utility of dynamic norms messages within norm-correcting interventions. METHOD: Undergraduate student drinkers (N = 461; Mage  = 19.97; 64.43% female) were randomly assigned to receive (a) dynamic norms messages highlighting a steady decrease over the past six years in heavy drinking among college students; (b) static norms messaging stating only the current norms; or (c) a control condition without normative information. Proximal outcomes assessed immediately following the experimental paradigm included intentions for total weekly drinks and heavy episodic drinking. Self-reported information on alcohol use behavior was collected at 1-month follow-up. RESULTS: Following the experimental paradigm, participants in the dynamic norms condition estimated that future drinking norms would decrease, while those in the static norms and control groups estimated that future drinking norms would increase. Participants in the dynamic norms condition reported lower intentions for weekly drinks and heavy episodic drinking than those in the static norms and control conditions. No significant differences between conditions were found on alcohol use indices reported at the 1-month follow-up. However, dynamic norms messaging had a favorable indirect effect on heavy episodic drinking intentions mediated through lower perceived future drinking norms. CONCLUSIONS: These findings provide proof-of-concept that dynamic norms messaging may be a prudent strategy for reducing alcohol use intentions, which can be integrated into or used alongside existing norm-correcting strategies.

Negative evaluation of role transitions is associated with perceived stress and alcohol consequences: Examination of the Transitions Overload Model in young adulthood using two years of monthly data.

BACKGROUND: Young adulthood is characterized by transitions into and out of social roles in multiple domains. Consistent with self-medication models of alcohol use, the Transitions Overload Model (J Stud Alcohol Suppl, 14, 2002, 54) hypothesizes that one cause of increased alcohol use during young adulthood may be the stress of navigating simultaneous role transitions. This study examined the simultaneous occurrence of major developmental role transitions in the domains of education, employment, romantic relationships, and residential status and their associations with perceived stress, heavy episodic drinking (HED), and negative alcohol-related consequences. Further, we extended the Transitions Overload Model to explore whether the number of transitions rated as having a negative impact on one's life was related to perceived stress, HED, and alcohol-related consequences. METHODS: A community sample of young adult drinkers (N = 767, 57% women, ages 18 to 25 years) in the Pacific Northwest provided monthly data across 2 years. Multilevel models were used to assess the average (between-person) and month-to-month (within-person) associations of role transitions with perceived stress, HED, and negative alcohol-related consequences. RESULTS: Although having more role transitions was positively associated with HED frequency and alcohol-related consequences at both the between- and within-person (monthly) levels, it was not associated with increased stress. The number of transitions rated as having a negative impact on one's life, however, was positively associated with stress. Thus, rather than the total number of transitions, it is the number of negatively perceived major developmental role transitions that is associated with perceived stress and increased risk for negative alcohol-related consequences. CONCLUSIONS: Contrary to Transitions Overload Model assumptions, more transitions were not a significant predictor of more perceived stress; rather, the evaluation of the transition as negative was associated with stress and negative alcohol-related outcomes. This distinction may help elucidate the etiology of stress and subsequent alcohol consequences and identify individuals at-risk of these effects.

An International Comparison of a Web-Based Personalized Feedback Intervention for Alcohol use During the Transition out of High School in the United States and Sweden.

Young adult drinkers engage in a range of drinking patterns from abstaining to heavy drinking in both the United States and Sweden. Heavy drinking during young adulthood in both countries is associated with a variety of negative consequences. Personalized feedback interventions have been identified as effective prevention strategies to prevent or reduce heavy drinking in the United States. This study examined transitions in drinking profiles and compared the efficacy of a personalized feedback intervention for 3965 young adults in the United States (1,735) and Sweden (2230) during their transition out of high school. Using goodness-of-fit criteria, results indicated that three drinking profiles exist among young adults transitioning out of high school: very low drinkers/abstainers, moderate to heavy drinkers, and very heavy drinkers. Latent Markov models revealed a moderating effect of country on personalized feedback intervention such that intervention condition participants in the United States were more likely to belong to the light drinker/abstainer or moderate to heavy profile relative to the very heavy drinking profile at 6-month follow-up. There was no significant effect of personalized feedback intervention in Sweden. Future research could investigate the impact of when personalized feedback interventions are administered and could examine if personalized feedback interventions should be more intentionally culturally adapted in order to be more effective.