To place college drinking within its larger developmental context, we reviewed studies that compare drinking behavior among college students with that of their age-matched nonstudent peers. Among the recurrent themes identifi ed across these studies, we particularly noted discrepancies in the conceptualization and operationalization of both college status and noncollege status. These discrepancies, and other methodological variations, were then examined because they infl uence conclusions about drinking outcomes. Method: Eighteen studies directly comparing college students with nonstudents were reviewed. Results: College students drank more than noncollege peers and, in general, drank more frequently than did noncollege peers, although these differences were likely the result of factors other than col-lege attendance itself. Younger people drank more than older peers in both groups. College students also tended to be more at risk for alcohol-related problems, including alcohol abuse and alcohol dependence, again likely the result of factors other than college attendance per se. Conclusions: This review highlights the lack of consensus in the conceptualization and operationalization of college and noncollege status across studies, as well as the importance of variables such as living situation, age, full-time and part-time status, and type of college, which may be more directly related to variations in alcohol consumption than is college status itself. Future investigations of college drinking should place this phenomenon within the larger context of developmental processes associated with this time of life.

Introduction Although some smokers switch to exclusive use of electronic cigarettes (e-cigarettes), others become dual users of combustible cigarettes and e-cigarettes. Little is known about how the onset of vaping affects the use of and dependence on combustible cigarettes or total nicotine use and dependence, which may influence health-related and cessation outcomes. Using self-report data of current combustible and e-cigarette use and retrospective recall of pre-vaping smoking in a sample of dual users, the aims of this study were (1) to compare pre- and post-vaping number of cigarettes per day and combustible cigarette dependence; (2) to compare pre- and post-vaping total nicotine use frequency (number of vaping sessions and cigarettes smoked per day), and total nicotine dependence; and (3) to examine predictors of nicotine dependence. Methods We used baseline data from a smoking cessation trial with 2896 dual users. Nicotine use frequency and the Heaviness of Smoking Index were used as measures of nicotine use and dependence, respectively. Results Participants decreased cigarettes/day from pre- (M = 19.24, SD = 9.01) to post-vaping (M = 11.15, SD = 8.02, p < .0001) and combustible cigarette dependence declined from pre- (M = 3.55, SD = 1.51) to post-vaping (M = 2.11, SD = 1.60, p < .0001). Total daily nicotine use frequency increased after initiating vaping (M = 19.25, SD = 9.01 vs. M = 29.46, SD = 8.61; p < .0001), as did total nicotine dependence (M = 3.55, SD = 1.51 vs. M = 4.68, SD = 1.38; p < .0001). Hierarchical regression analyses indicated that variables associated with greater overall nicotine dependence included: younger age, lower education, more years smoking, higher pre-vaping nicotine dependence, using e-cigarettes more days per month, more puffs per vaping session, higher e-liquid nicotine concentration, and longer vaping history. Conclusions Dual use leads to a reduction in the number of combustible cigarettes, but total nicotine use and dependence increases. Implications In dual users, a reduction in smoking following onset of vaping may offer some harm reduction via reduction in cigarette intake. However, the increase in total nicotine use and dependence could affect the ability to quit either or both products.

In previous research using time-line follow-back methods to closely monitor drinking and related variables over the first year of college (9 month), we showed that drinking varied considerably over time in accord with academic requirements and holidays. In a new community sample of emerging adults (576, 18 and 19 year olds who reported having begun drinking prior to recruitment), we used similar methods to compare drinking patterns in college and noncollege individuals over a full calendar year (including summers). To reduce the extreme distortion in computations of average drinking over restricted time spans (i.e., one week) that arise because large numbers of even regular drinkers may not consume any alcohol, we analyzed data using recently developed two-part latent growth curve modeling. This modeling distinguished consumption levels from numbers of individuals drinking in a given period. Results showed that drinking levels and patterns generally did not differ between college and noncollege drinkers, and that both groups responded similarly to even those contexts that may have seemed unique to one (i.e., Spring Break). We also showed that computation of drinking amounts without accounting for “zero drinkers” could seriously distort estimates of mean drinking on some occasions; for example, mean consumption in the total sample appeared to increase on Thanksgiving, whereas actual average consumption for those who were drinking diminished.

Psychological adjustment was assessed in a sample of 525 female and 191 male adoptees. Analyses were conducted by gender; by search status, i.e., those who had never searched, those who were searching, and those who had made contact with their biological parents; and by history of mental health service utilization. Compared to normative data, the sample reported significantly higher levels of psychological maladjustment; only women adoptees scored higher on a scale measuring anger. Overall, adoptees' scores were elevated but did not approach levels typical of outpatient populations.

The reliability and validity of the Self-Report Psychopathy Scale (SRPS) was examined in a noninstitutionalized offender sample of mixed gender and race. Adequate alpha coefficients were obtained for the total sample and across gender and race. The SRPS was compared to measures of trait anxiety and passive avoidance errors. SRPS total, primary, and secondary scores were positively and significantly correlated with trait anxiety and passive avoidance (commission) errors, but not omission errors. Employing hierarchical regression models, no anxiety, gender, or ethnic effects were found. Intelligence confounded the relationship between psychopathic traits and passive avoidance errors. Findings provide tentative support of the SRPS as a valid measure of psychopathy.

No abstract

Augmented reality (AR) is a rapidly emerging technology that superimposes digital objects onto real‐world scenes as viewed in real time through a smartphone, tablet, or headset. Whereas AR has been adopted for retail, entertainment, and professional training, it also has potential as a novel, mobile, and efficacious treatment modality for psychological disorders. In particular, extinction‐based therapies (e.g., anxiety, substance use disorders) could utilize AR to present stimuli in natural environments, enhancing generalizability beyond the clinic. The limited psychological literature on AR has focused on the treatment of simple phobias. Here, with the goal of bringing this technology to the attention of clinicians and researchers, we describe AR, contrast it with virtual reality, review the theoretical foundation for extinction‐based therapies, provide examples for the treatment of substance use disorders, and identify theoretical, practical, and implementation‐based research questions.

Background Although many smokers use electronic cigarettes (e-cigarettes) to quit smoking, most continue to smoke while vaping. This dual use might delay cessation and increase toxicant exposure. We aimed to test the efficacy of a self-help intervention designed to help dual users to quit smoking.Methods In this three-arm randomised controlled trial we recruited individuals in the USA using Facebook and multimedia advertisements. Included participants were 18 years or older, smoked at least weekly in the preceding year, and vaped at least weekly in the preceding month. We used computer generated randomisation with balancedpermuted blocks (block size 10, with 2-4-4 ratio) to allocate participants to assessment only (ASSESS group), generic smoking cessation self-help booklets (GENERIC group), or booklets targeting dual users (eTARGET group). Individuals in the generic or targeted intervention groups received monthly cessation materials for 18 months, with assessments every 3 months for 24 months. The main outcome was self-reported 7-day point-prevalence smoking abstinence at each assessment point. All randomly allocated participants were included in primary analyses using generalised estimating equations for each of 20 datasets created by multiple imputation. Analysis of the χ²s produced an F test. The trial is registered with ClinicalTrials.gov, NCT02416011, and is now closed.