The Alcohol Use Disorders Identification Test (AUDIT) is the gold standard screening measure. Recently, there has been increasing call to update the measure to reflect harmful drinking standards in the United States. The purpose of this study was to use receiver operating characteristic curve analysis to evaluate the AUDIT and the United States version (AUDIT-US). Participants were 382 traditional age ( M = 20.2, SD = 1.5) college students (68.7% female, 64.9% White) who had consumed alcohol at least once in the 30 days prior to participating. Although results provide evidence for the AUDIT and the AUDIT-US as valid screening tools, the Consumption subscale of the AUDIT-US performed the best in predicting at-risk college drinkers. The Consumption subscale of the AUDIT-US with a single cutoff score of four appears to be the optimal and most parsimonious method of identifying at-risk college drinkers.

Chasing, or continuing to gamble in an attempt to recoup losses, is a salient feature of problematic gambling. This study, which controlled for gambling severity and alcohol consumption, investigated the association between chasing and maladaptive personality trait domains among habitual gamblers. Participants comprised 126 adult habitual gamblers (73% males) aged between 18 and 69 years. They were administered the South Oaks Gambling Screen (SOGS), the Personality Inventory for DSM-5-Brief Form (PID-5-BF), the Alcohol Use Disorders Identification Test (AUDIT), and a computerized task developed to assess chasing behavior. Participants were randomly assigned to two chasing conditions (Control and Loss). Data were submitted to correlational analysis, univariate and mixed-model ANOVAs, logistic and linear regression analyses. Results showed that the decision to chase was strongly associated with the PID-5-BF Disinhibition domain scores, whereas chasing proneness was related to the Disinhibition, Detachment and Psychoticism domains. Interestingly, chasers scored higher than nonchasers on maladaptive personality dimensions, even after controlling for gender, age, chasing condition, alcohol consumption, and gambling severity. Since these findings support the idea that chasers and nonchasers are different subtypes of gamblers, clinical interventions should take into account the additive role of chasing in gambling disorder.

Research estimates that 30% of children under the age of 16 years in the UK live with at least one parent with an alcohol use disorder (AUD). Parental AUDs are associated with adverse childhood experiences and poorer outcomes for children. The PAReNTS (Promoting Alcohol Reduction in Non-Treatment Seeking parents) trial aims to examine the feasibility and acceptability of a randomised controlled trial of brief alcohol interventions to reduce parental alcohol misuse.

Several abbreviated versions of the Alcohol Use Disorders Identification Test (AUDIT) have been developed for use in high-volume clinical situations such as emergency departments. In this study, we developed a new abbreviated version of AUDIT called the Screening Tool for At-risk Drinking (STAD) for young and middle-aged adults, consisting of two questions that reflect the structure of the AUDIT questionnaire using data from the Korea National Health and Nutrition Examination Survey (KNHANES). To derive the abbreviated test considering AUDIT item structure, we performed confirmatory factor analysis on the 10 AUDIT questions in the Korea National Health and Nutrition Examination Survey (KNHANES) IV. To validate the new abbreviated test, we analyzed the sensitivity, specificity, and area under the receiver operating characteristic curve (AUROC) on the KNHANES V-VI except for the KNHANES VI-2. Based on the two-factor structure of AUDIT, question (Q) 3 and Q7 were finally selected for STAD. In validation, AUROC was significantly wider for STAD than for AUDIT-QF, which has the same number of questions. There was no significant difference between AUDIT-C, consisting of three questions, and STAD. It can be used as a simple and reliable screening test in clinical settings.

Attention deficit hyperactivity disorder (ADHD) is often cited as a risk factor for criminality. However, many studies do not take other criminogenic variables into account when reporting on this relationship. It is even less clear whether models that include ADHD as a potential risk factor for criminality consider the importance of sex differences. To answer this question, we collected data from a telephone population survey sampling adults over the age of 18 years in the province of Ontario, Canada (final sample size = 5196). Respondents were screened for ADHD using the Adult ADHD Self-Report Version 1.1 Screener (ASRS-V1.1) and four extra items. Problematic drinking was assessed using the Alcohol Use Disorders Identification Test (AUDIT), while cannabis misuse was evaluated using the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST). The Antisocial Personality Disorder Scale from the Mini-International Neuropsychiatric Interview provided a measure of previous conduct disorder symptoms and the 12-item General Health Questionnaire screening procedure was used to gauge general distress. History of arrest was self-reported. Three separate logistic regression analyses (entire sample, male only, and female only) were applied to estimate the association of the foregoing variables with arrest history. In the combined sample, conduct disorder symptoms, problem alcohol use, and problem cannabis use all predicted history of arrest. With regard to the male sample, conduct disorder symptoms, elevated AUDIT and ASSIST scores, and general distress were associated with an arrest history. For the female subsample, only conduct disorder symptoms and problematic cannabis use showed a relationship with criminality. To summarize, ADHD did not predict history of arrest for either subsample or the combined sample. When comparing males and females, conduct disorder symptoms and cannabis misuse exerted stronger effects on history of arrest for females than males. These results suggest that the relative importance and type of clinical risk factors for arrest may differ according to sex. Such information could be useful for crime prevention policies and correctional programs that take into account differences in experience by sex.