Background Although impulsive personality traits have been well implicated in substance use disorder (SUD) risk, little work has established how specific impulsive personality traits influence and are influenced by SUD psychotherapy outcomes. The purpose of this meta-analysis was to quantitatively review existing work to examine 1) how impulsive personality traits affect SUD psychotherapy outcomes and 2) reductions in impulsive personality traits during SUD psychotherapy. Methods Studies were identified by conducting a comprehensive review of the literature. Results For aim one (k =6), significant effects were found for lack of premeditation (g=0.60, SE=0.30, 95% CI 0.01 to 1.20; z=1.99, p = .05) and negative urgency (g=0.55, SE=0.17, 95% CI 0.22 to 0.88, z=3.30, p=.001), with trait scores related to poorer SUD psychotherapy outcomes. For aim two (k = 10), decreases in sensation seeking (g=−0.10, SE=0.05, 95% CI −0.20 to 0.004; z=−1.88, p=.02) and negative urgency (g=−0.25, SE=0.14, 95% CI −0.53 to 0.03; z=−1.75, p=.03) during SUD psychotherapy were significant. Conclusions Overall, our quantitative synthesis suggests that lack of premeditation and negative urgency are related to poorer SUD psychotherapy outcomes. Although negative urgency and sensation seeking are decreasing during SUD psychotherapy, the magnitude of the change is quite small. Overall, we suggest that the measurement and targeting of impulsive personality traits in psychotherapy has strong potential to improve clinical outcomes across SUDs and a wide range of clinical problems and disorders.

BACKGROUND: Impulsivity is often included as a risk factor in models of adolescent

Electronic cigarettes (e-cigs) were created to approximate the look, feel, and experience of using a cigarette. Since cigarette and alcohol use co-occur, we hypothesized that e-cig and alcohol use also co-occur, likely due to shared positive drug expectations. Using self-report data from two independent samples of community-dwelling alcohol using adults, the present study: (1) modified the Nicotine and Other Substance Interaction Expectancy Questionnaire (NOSIE) to assess expectancies of combined e-cig and alcohol use (i.e. the individuals perceived likelihood of using e-cigs and alcohol together; NOSIE-ER); and (2) examined the relationships among e-cig use, expectancies, and alcohol use across e-cig use status. In the first sample (N=692, mean age=32.6, SD = 9.74, 50.7% female, 82.2% Caucasian), exploratory factor analysis suggested the presence of two factors: (1) alcohol use leads to e-cig use (Scale 1; α=0.85); and (2) e-cig use leads to alcohol use (Scale 2; α=0.91). In the second sample (N=714, mean age=34.1, SD=10.89, 47.8% female, 75.6% Caucasian), confirmatory factor analysis supported this factor structure (χ2=47.00, p<0.01, df=19; RMSEA=0.08, 90% CI=0.05–0.11; TLI=0.99; CFI=0.99). Compared to non e-cig users, e-cig users had significantly higher problematic alcohol use in both samples (b’s=0.09 to 0.14, p’s<.05). Expectancies of combined e-cig and alcohol use were significantly related to problematic alcohol use (b’s=−0.92 to 0.26, p’s<.05). In sum, e-cig use is related to alcohol use and expectancies of combined e-cig and alcohol use; consequently, reshaping of beliefs about needs or desires to co-use could be a prime point of intervention.

Background: Recent data suggests that positive beliefs about electronic cigarettes (e-

The current paper applied the Theory of Planned Behavior (TPB; Ajzen & Fishbein, 1988) to understand how impulsive personality traits and attitudes concerning e-cig use relate to the likelihood of electronic cigarette (e-cig) use. Seven hundred and fourteen participants (Mean age = 34.04, SD = 10.89, 48.6% female) completed cross-sectional measures of e-cig use attitudes (CEAC) and the Short UPPS-P Impulsive Behavior Scale. A structural path analysis suggested that urgency and deficits in conscientiousness were significantly related to e-cig attitudes (CFI = 0.99, TLI = 0.99, RMSEA = 0.02; urgency: β = 0.32, p = .001; deficits in conscientiousness: β = -0.48, p < .001). E-cig attitude scores were significantly higher for e-cig users than non-users, β = 0.85, p < .001. There was no significant direct path from impulsive personality traits to e-cig use. Findings provide initial support for a model in which impulsive traits are related to e-cig use through positive e-cig attitudes.

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The UPPS-P Model of Impulsive Personality, a prominent model of impulsive personality derived from the Five Factor Model of Personality, is a multi-dimensional model of impulsive personality that consists of negative urgency, lack of premeditation, lack of perseveration, sensation seeking, and positive urgency. The UPPS-P model has highlighted the importance of separating multidimensional traits due to the specificity of these traits corresponding to different risk behaviors. The goal of the current review paper is to make recommendations on how to apply the UPPS-P Model of Impulsive Personality, to diagnosis of and treatment for psychopathology. However, despite impulsivity being one of the most frequently used criteria for a number of clinical disorders, our review of the Diagnostic and Statistical Manual for Mental Disorders-5 found that the UPPS-P traits are not well represented in the diagnostic criteria, which we propose limits inferences about etiology and treatment targets. Additionally, research has largely focused on the importance of these traits for risk models; our review of the literature applying the UPPS-P traits to treatment processes and outcomes concluded that this area is not yet well studied. Here, we propose the specific application of the UPPS-P model to improve diagnosis and increase treatment effectiveness.

Cigarette use is a prominent problem in juvenile offenders, leading to negative health outcomes and substance use. One interesting precipitator of cigarette use in this population is discrimination. Social support could potentially buffer the positive relationship between cigarette use and discrimination in juvenile offenders, which could be dependent on the context in which the discrimination is experienced, such as peer, institutional (e.g., stores, restaurants), or educational contexts. The present study explored the relationship between three types of discrimination, social support, and smoking outcomes among 112 detained and probated juvenile offenders (mean age = 16.24, SD = 2.11, 29.2% female, 54.9% Caucasian, 40.4% detention, 53.8% smokers). Results indicated that the relationship between institutional discrimination (OR = −0.10, p = 0.005) and peer discrimination (OR = −0.11, p = 0.01) were significantly moderated by social support, with a higher likelihood of being a smoker, compared to a non-smoker at higher levels of peer and institutional discrimination. Further, based on a moderated regression analysis, results indicated that youth who experienced greater educational discrimination and lower levels of social support, they were at higher risk of nicotine addiction (b = −0.09, p = 0.03). Overall, results indicate that varying avenues of social support, such as parent, peer, and teacher support, can mitigate negative effects of discrimination on juvenile offenders, particularly cigarette use. Addressing discrimination in smoking treatment and prevention in juvenile offenders may be of great utility. Future studies should examine the potential mechanisms underlying the discrimination and cigarette use connection in juvenile offenders.