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Aims Structured clinical interviewing is considered the gold standard in psychiatric diagnosis. The Diagnostic Assessment Research Tool (DART) is a novel modularized, non-copywritten, semi-structured interview; however, no studies have examined the psychometric properties of its alcohol use disorder (AUD) module. The primary aims of this study were to: (i) validate the factor structure of the DART AUD module and (ii) examine measurement invariance across several key demographic and subgroup factors. Methods Participants were community members in Hamilton, Canada and Boston, USA who self-identified as making a significant AUD recovery attempt (N  = 499). Internal reliability was examined via the Kuder–Richardson 20 statistic, and correlations between symptom count and drinking quantity/frequency were examined. Then, symptom-level data were included in a confirmatory factor analysis to examine model fit of a single hypothesized factor structure. Finally, measurement invariance analyses were conducted for sex, age, ethnicity (White vs. racialized), and study site. Results This study found evidence for adequate internal reliability (rKR20  = 0.75), and symptom scores correlated with drinking quantity and frequency (r  = 0.16–0.43). Confirmatory factor analysis results suggested excellent fit for the unidimensional one-factor AUD model (χ 2 = 0.09, confirmatory factor index = 0.99, Tucker Lewis index = 0.99, standardized root mean square residual = 0.06, root mean square error of approximation = 0.02). Measurement invariance analyses revealed that the factor structure was equivalent between sex, age, ethnicity, and study site. Conclusions Findings provide strong evidence for the psychometric validity of the DART AUD module and support its use in research and clinical practice. The DART represents a credible alternative to other diagnostic interviewing tools for AUD. [ABSTRACT FROM AUTHOR]

Objective: Social network analysis (SNA) characterizes the structure and composition of a person's social relationships. Network features have been associated with alcohol consumption in observational studies, primarily of university undergraduates. No studies have investigated whether indicators from a person's social network can accurately identify the presence of alcohol use disorder (AUD), offering an indirect strategy for identifying AUD. Method: Two cross-sectional case–control designs examined the clinical utility of social network indicators for identifying individuals with AUD (cases) versus demographically matched drinkers without AUD (controls). Study 1 (N = 174) used high-resolution egocentric SNA assessment, whereas Study 2 (N = 189) used a brief assessment. Results: In Study 1, significant differences between AUD+ participants and controls were present for network alcohol severity (i.e., heavy drinking days; d = 1.23) and frequency (d = 0.35), but not network structural features. Network alcohol severity exhibited very good classification of AUD+ individuals versus controls (area under the curve [AUC] = 0.80), whereas network frequency did not (AUC = 0.61). In Study 2, significant differences were present for network alcohol severity (d = 1.02), quantity (d = 0.74), and frequency (d = 0.43), and severity exhibited good differentiation (AUC = 0.76). Conclusions: Social network indicators of alcohol involvement robustly differentiated AUD+ individuals from matched controls, and the brief assessment performed almost as well as the high-resolution assessment. These findings provide proof-of-concept for severity-related SNA indicators as promising novel clinical assessments for AUD. Public Health Significance Statement: This study finds that the severity of alcohol misuse a person estimates in their social network can in turn validly identify the person's AUD diagnostic status. The findings also suggest that a brief measure, reflecting alcohol use in a person's closest social group, is similarly informative to indicators from a person's more expansive social network. These results suggest that egocentric social network indicators have promise as clinical assessments in AUD. [ABSTRACT FROM AUTHOR]

Delay discounting—the extent to which individuals show a preference for smaller immediate rewards over larger delayed rewards—has been proposed as a transdiagnostic neurocognitive process across mental health conditions, but its examination in relation to posttraumatic stress disorder (PTSD) is comparatively recent. To assess the aggregated evidence for elevated delay discounting in relation to posttraumatic stress, we conducted a meta-analysis on existing empirical literature. Bibliographic searches identified 209 candidate articles, of which 13 articles with 14 independent effect sizes were eligible for meta-analysis, reflecting a combined sample size of N = 6897. Individual study designs included case-control (e.g. examination of differences in delay discounting between individuals with and without PTSD) and continuous association studies (e.g. relationship between posttraumatic stress symptom severity and delay discounting). In a combined analysis of all studies, the overall relationship was a small but statistically significant positive association between posttraumatic stress and delay discounting (r =.135, p <.0001). The same relationship was statistically significant for continuous association studies (r =.092, p =.027) and case-control designs (r =.179, p <.001). Evidence of publication bias was minimal. The included studies were limited in that many did not concurrently incorporate other psychiatric conditions in the analyses, leaving the specificity of the relationship to posttraumatic stress less clear. Nonetheless, these findings are broadly consistent with previous meta-analyses of delayed reward discounting in relation to other mental health conditions and provide further evidence for the transdiagnostic utility of this construct. [ABSTRACT FROM AUTHOR]

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Objective: Impulsivity is a multidimensional construct consistently associated with problematic substance use, but less is known about its relevance to clinical outcomes. The current study examined whether impulsivity changed over the course of addiction treatment and whether the changes were associated with changes in other clinical outcomes. Method: Participants were patients in a large inpatient addiction medicine program (N = 817; 71.40% male). Impulsivity was assessed using a self-report measure of delay discounting (i.e., overvaluation of smaller immediate rewards) and the UPPS-P Impulsive Behavior Scale, a self-report measure of impulsive personality traits. Outcomes were psychiatric symptoms including depression, anxiety, posttraumatic stress disorder, and drug cravings. Results: Within-subjects analyses of variance revealed significant within-treatment changes in all UPPS-P sub-scales, all psychiatric indicators, and craving (ps < .005), but not delay discounting. Changes in all UPPS-P traits, except for sensation seeking, were significantly positively associated with changes in psychiatric symptoms and cravings over the course of treatment (ps < .01). Conclusions: These findings reveal that facets of impulsive personality change across addiction treatment and are generally related to positive changes in other clinically relevant outcomes. Evidence of change despite no explicit intervention targeting suggests that impulsive personality traits may be viable treatment targets in substance use disorder treatment. [ABSTRACT FROM AUTHOR]