Objective The purpose of the present study was to examine cognitive risk factors for driving after use of marijuana. We tested whether marijuana outcome expectancies and specific cognitions about driving after marijuana use were uniquely associated with the likelihood and frequency of driving while high (DWH) and riding with a high driver (RWHD). Method Participants were college students recruited from introductory psychology classes at a Midwestern university who reported ever using marijuana in their lifetime and reported having access to a car or driving at least once a month (n = 506). Results Greater perceived dangerousness of DWH was associated with decreased likelihood of DWH and RWHD. Negative marijuana expectancies were associated with decreased likelihood of DWH, and social norms were associated with decreased likelihood of RWHD. All cognitive predictors were associated with decreased frequency of DWH and RWHD for individuals with the propensity to engage in these behaviors. Conclusions Findings suggest interventions to reduce risk of DWH and RWHD may benefit from targeting general expectancies about the negative effects of marijuana. Similarly, results suggest increasing students' knowledge of the potential danger of DWH may help to reduce the likelihood of and frequency of DWH and RWHD.

Objective Alcohol misuse is a significant public health concern. Personalized feedback interventions (PFIs) involve the use of personalized information about one’s drinking behaviors and can be delivered in-person or via computer. The relative efficacy of these delivery methods remains an unanswered question. The primary aim of the current meta-analysis was to identify and directly compare randomized clinical trials of in-person PFIs and computer-delivered PFIs. Method A total of 14 intervention comparisons from 13 manuscripts, of which 9 were college samples, were examined: in-person PFIs (N=1240; 49% female; 74% White) and computer-delivered PFIs (N=1201; 53% female; 73% White). Independent coders rated sample characteristics, study information, study design, intervention content, and study outcomes. Results Weighted mean effect sizes were calculated using random-effects models. At short follow-up (≤ 4 months), there were no differences between in-person PFIs and computer-delivered PFIs on any alcohol use variable or alcohol-related problems. At long follow-up (> 4 months), in-person PFIs were more effective than computer-delivered PFIs at impacting overall drinking quantity (d = .18) and drinks per week (d = .19). These effects were not moderated by sample characteristics. Conclusions For assessing alcohol outcomes at shorter follow-ups, there were no differences between delivery modality. At longer follow-ups, in-person PFIs demonstrated some advantages over computer-delivered PFIs. We encourage researchers to continue to examine direct comparisons between these delivery modalities and to further examine the efficacy of in-person PFIs at longer follow-ups.

IMPORTANCERecent information on the trends in past-year alcohol abstinence and marijuana abstinence, co-use of alcohol and marijuana, alcohol use disorder, and marijuana use disorder among US young adults is limited.OBJECTIVES To assess national changes over time in past-year alcohol and marijuana abstinence, co-use, alcohol use disorder, and marijuana use disorder among US young adults as a function of college status (2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018) and identify the covariates associated with abstinence, co-use, and marijuana use disorder in more recent cohorts (2015)(2016)(2017)(2018). DESIGN, SETTING, AND PARTICIPANTSThis study examined cross-sectional survey data collected in US households annually between 2002 and 2018 as part of the National Survey on Drug Use and Health. The survey used an independent, multistage area probability sample for all states to produce nationally representative estimates. The sample included 182 722 US young adults aged 18 to 22 years. The weighted screening and weighted full interview response rates were consistently above 80% and 70%, respectively. MAIN OUTCOMES AND MEASURESMeasures included past-year abstinence, alcohol use, marijuana use, co-use, alcohol use disorder, marijuana use disorder, prescription drug use, prescription drug misuse, prescription drug use disorder, and other drug use disorders based on Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria. RESULTSThe weighted sample comprised 51.1% males. Between 2002 and 2018, there was an annual increase in past-year alcohol abstinence among young adults (college students: 0.54%; 95% CI, 0.44%-0.64%; non-college students: 0.33%; 95% CI, 0.24%-0.43%). There was an annual increase in marijuana use from 2002 to 2018 (college: 0.46%; 95% CI, 0.37%-0.55%; non-college: 0.49%; 95% CI, 0.40%-0.59%) without an increase in marijuana use disorder for all young adults. Past-year alcohol use disorder decreased annually (college: 0.66%; 95% CI, 0.60%-0.74%; non-college: 0.61%; 95% CI, 0.55%-0.69%), while co-use of alcohol and marijuana increased annually between 2002 and 2018 among all young adults (college: 0.60%; 95% CI, 0.51%-0.68%; non-college: 0.56%; 95% CI, 0.48%-0.63%). Young adults who reported co-use of alcohol and marijuana or met criteria for alcohol use disorder and/or marijuana use disorder accounted for 82.9% of young adults with prescription drug use disorder and 85.1% of those with illicit drug use disorder. More than three-fourths of those with both alcohol use disorder and marijuana use disorder reported past-year prescription drug use (78.2%) and illicit drug use (77.7%); 62.2% reported prescription drug misuse. CONCLUSIONS AND RELEVANCEThe findings of this study suggest that US colleges and communities should create and maintain supportive resources for young adults as the substance use landscape changes, specifically as alcohol abstinence, marijuana use, and co-use increase. Interventions for polysubstance us...

The present study sought to inform models of risk for drugged driving through empirically identifying patterns of marijuana use, alcohol use, and related driving behaviors. Perceived dangerousness and consequences of drugged driving were evaluated as putative influences on risk patterns. Method: We used latent profi le analysis of survey responses from 897 college students to identify patterns of substance use and drugged driving. We tested the hypotheses that low perceived danger and low perceived likelihood of negative consequences of drugged driving would identify individuals with higher-risk patterns. Results: Findings from the latent profile analysis indicated that a fourprofile model provided the best model fi t. Low-level engagers had low rates of substance use and drugged driving. Alcohol-centric engagers had higher rates of alcohol use but low rates of marijuana/simultaneous use and low rates of driving after substance use. Concurrent engagers had higher rates of marijuana and alcohol use, simultaneous use, and related driving behaviors, but marijuana-centric/simultaneous engagers had the highest rates of marijuana use, co-use, and related driving behaviors. Those with higher perceived danger of driving while high were more likely to be in the low-level, alcohol-centric, or concurrent engagers' profiles; individuals with higher perceived likelihood of consequences of driving while high were more likely to be in the low-level engagers group. Conclusions: Findings suggested that college students' perceived dangerousness of driving after using marijuana had greater influence on drugged driving behaviors than alcohol-related driving risk perceptions. These results support targeting marijuana-impaired driving risk perceptions in young adult intervention programs.

Objective: To determine if higher potency cannabis is associated with earlier progression to regular cannabis use, daily cannabis use, and cannabis use disorder symptom onset. Methods: Data sources were the Michigan Longitudinal Study, an ongoing prospective, high-risk family study investigating the course and predictors for substance use disorders among youth beginning prior to school entry and time-parallel national average trends in delta-9tetrahydrocannabinol (i.e., psychoactive compound in cannabis). The national average trends in delta-9-tetrahydrocannabinol were used to estimate potency level for the individual. Only cannabis users were included in analyses (n=527). Results: Cox regression showed an increased risk of progression from cannabis initiation to cannabis use disorder symptom onset by 1.41 times (p<.001) for each unit increase in national average delta-9-tetrahydrocannabinol as compared to those not endorsing CUD symptom onset, adjusting for sex, regular use, and cohort effects. Accounting for regular use, individuals initiating cannabis at national average 4.9% delta-9-tetrahydrocannabinol were at 1.88 times (p=.012) higher risk for cannabis use disorder symptom onset within one year compared to those who did not

The purpose of the present study was to examine the Big Five Personality Inventory score reliability (BFI: John, Donahue, & Kentle, 1991) utilizing Generalizability Theory analyses. Participants were recruited from a large public Midwestern university and provided complete data for the BFI on three measurement occasions (n = 264). Results suggested score reliability for scales with 7-10 items were adequate. However, score reliability for two item scales did not reach a .80 threshold. These findings have indicated BFI score reliability was, in general, acceptable and demonstrated the advantages of using Generalizability Theory analyses to examine score reliability.

The purpose of the present study was to examine the psychometric properties of the Sexual Coercion Inventory (SCI; Waldner, Vaden-Goad, & Sikka, 1999), revised by the authors (SCI-R). Overall, 514 high school and college students from a Midwestern state completed the SCI-R. To complete the SCI-R, high school participants completed paper-pencil surveys with those younger than 18 obtaining parental consent; college students older than 18 completed computer-based and paper-pencil surveys. Exploratory factor analysis and reliability analyses were conducted to examine the validity of score interpretation and reliability of scores for the measure. Results suggested that a 13-item multidimensional measure consisting of two factors, Manipulation and Substance Use and Aggression, provided the best parsimony and theoretical fit. Examination of convergent and discriminant validity of scores provided additional psychometric support for the revised SCI-R, specifically pertaining to other measures of sexual victimization. The SCI-R may be a useful tool for researchers to explore manipulation tactics in more depth while also assessing and differentiating between victimization that meets legal definitions of rape and non-criminal sexual victimization.

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