Posttraumatic stress and delay discounting: a meta-analytic review.

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.

Smoking Cessation Tool Utilization Among Individuals with and Without Cancer Across Smoking Status.

Background: There are many tools to assist with cigarette smoking cessation (e.g., counseling, pharmacotherapy). However, tool use among cancer patients is understudied despite the consequences of continued smoking after a cancer diagnosis.Objectives: Study aims included describing and comparing cessation tool use among individuals with and without cancer who were currently smoking and who quit to determine if there are different preferences among those with cancer.Methods: Participants (N = 203) completed an online survey about demographics, cigarette use, and cessation tool use.Results: Eighty-nine participants reported being diagnosed with cancer (45 quit after diagnosis, 44 currently smoking) and 114 reported not having cancer (57 quit, 57 currently smoking). Individuals with cancer who were smoking used more evidence-based resources than those with cancer who quit (B = 1.86, SE = 0.50, p < 0.0001). Individuals with cancer who were smoking used more total cessation resources than participants without cancer who were smoking (B = 2.00, SE = 0.58, p = 0.001), but there was no difference in use of evidence-based resources between these two groups (p > 0.05). Lastly, individuals with cancer who quit also used more total cessation tools (B = 1.23, SE = 0.41, p = 0.003) and evidence-based tools (B = 1.03, SE = 0.36, p = 0.005) than those without cancer who quit.Conclusions: Individuals with cancer may be using more resources before successfully quitting. Cancer patients may need additional help to quit smoking, and further research is needed to better understand unique barriers that preclude quitting among this vulnerable population.

Sleep, Alcohol and Cannabis Use in College Students With and Without Attention-Deficit/Hyperactivity Disorder.

Background: Relations among attention-deficit/hyperactivity disorder (ADHD), sleep, and substance-related negative consequences are largely unknown. In this cross-sectional study, we examined associations among ADHD diagnosis, sleep, and alcohol-related consequences. We also evaluated the independent and interactive effects of sleep and ADHD on alcohol-related negative consequences, above and beyond levels of alcohol use. Methods: College students who drink alcohol with (n = 51) and without (n = 50) ADHD completed an assessment that included a diagnostic interview assessing ADHD, and questionnaire measures of sleep quality, substance use, and associated consequences. Analyses utilized a series of hierarchical linear regression models and explored these aims for cannabis use in a subset of participants (n = 52 participants that used cannabis). Results: College students who drink alcohol with ADHD reported significantly worse sleep quality and more alcohol-related consequences, relative to those without ADHD. When ADHD and sleep quality were included in the model, ADHD-but not sleep quality-was independently associated with alcohol consequences, but not cannabis consequences. There were no moderating effects of ADHD on the associations between sleep and substance-related consequences. Conclusions: Students who drank alcohol with ADHD may be particularly vulnerable to experiencing poor sleep and consequences from their substance use, compared to their heavy drinking peers without ADHD. Future, larger scale studies should consider longitudinal effects as well as underlying mechanisms of risk.

Change in alcohol demand following a brief intervention predicts change in alcohol use: A latent growth curve analysis.

BACKGROUND: The association between behavioral economic demand and various alcohol use outcomes is well established. However, few studies have examined whether changes in demand occur following a brief alcohol intervention (BAI), and whether this change predicts alcohol outcomes over the long term. METHODS: Parallel process piecewise latent growth curve models were examined in a sample of 393 heavy drinking emerging adults (60.8% women; 85.2% white; Mage  = 18.77). In these models, two linear slopes represented rates of change in alcohol use, heavy drinking episodes, alcohol-related problems, and demand (intensity and highest expenditure across all price points or Omax ) from baseline to 1 month (slope 1) and 1 month to 16 months (slope 2). Mediation analyses were conducted to estimate the effect of a BAI on 16-month alcohol outcomes through slope 1 demand. RESULTS: A two-session BAI predicted significant reductions in all five outcomes from baseline to 1-month follow-up. Although no further reduction was observed from the 1-month to the 16-month follow-up, there was no regression to baseline levels. Slope 1 demand intensity, but not Omax , significantly mediated the association between BAI and both outcomes-heavy drinking episodes (Est. = -0.23, SE = 0.08, p < 0.01) and alcohol-related problems (Est. = -0.15, SE = 0.07, p < 0.05)-at the 16-month follow-up. CONCLUSIONS: Reducing high valuation of alcohol among heavy drinking emerging adults within the first month following BAI is critical for the long-term efficacy of the intervention. A two-session BAI was associated with enduring reductions in alcohol demand, and the change in demand intensity, but not Omax , was associated with sustained reductions in heavy drinking and alcohol-related problems.

Is E-cigarette Use Associated With Persistence or Discontinuation of Combustible Cigarettes? A 24-Month Longitudinal Investigation in Young Adult Binge Drinkers.

INTRODUCTION: It remains unclear whether electronic cigarette (e-cigarette) use promotes persistent combustible tobacco use or smoking discontinuation over time. Alcohol use is associated with a greater risk of adverse health effects of tobacco, and higher likelihood of e-cigarette use, making drinkers a high-priority subpopulation. AIMS AND METHODS: This study examined longitudinal patterns of combustible tobacco and e-cigarette use over 24 months in young adult binge drinkers. A pooled dataset of 1002 (58.5% female; M age = 22.14) binge drinkers from the United States (60%) and Canada (40%) was used. The primary outcomes were past month combustible tobacco and e-cigarette use. Nicotine dependence was measured using the Fagerström Test of Cigarette Dependence. Alcohol severity was measured using the Young Adult Alcohol Consequences Questionnaire. Latent transition analysis (LTA) was used to identify patterns of cigarette smoking and e-cigarette use over 24 months. RESULTS: The LTA yielded a four-class solution: (1) e-cigarettes-only users (prevalence over time: 7.75%-10.10%), (2) dual-product users (2.61%-9.89%), (3) combustible-only smokers (8.12%-20.70%), and (4) nonusers (61.66%-80.06%). Dual-product users predominantly transitioned to complete abstinence or exclusively e-cigarette use. In combustible-only smokers, the most common transition was to abstinence, followed by persistence of combustible-only status. At 24 months, 63% of e-cigarettes-only users transitioned to abstinence, with 37% continuing e-cigarettes-only use and 0% transitioning to dual or combustible cigarette use. CONCLUSIONS: Dual-product use in young adult binge drinkers was associated with discontinuation of combustible tobacco over time, and e-cigarette-only use was not associated with subsequent combustible tobacco use. IMPLICATIONS: These findings suggest that concurrent or exclusive e-cigarette use is not a risk factor for the persistence or development of combustible tobacco use in this subpopulation, with dual-product use reflecting a transitional pattern away from combustible use, toward discontinuation.

Unique and Transdiagnostic Dimensions of Reward Functioning in Attention-Deficit/Hyperactivity Disorder and Alcohol Use Disorder Symptoms.

AIMS: Contemporary theories of attention-deficit/hyperactivity disorder (ADHD) and alcohol use disorder (AUD) emphasize core dysfunctions in reward-related processes and behaviors as pathognomonic characteristics. However, to date, it is unclear which domains of reward functioning are unique to ADHD versus AUD symptom dimensions, and which represent underlying shared correlates. METHODS: The current study employed secondary data analyses from a large community sample of emerging adults (N = 602; 57.3% female) and novel transdiagnostic modeling (i.e. bi-factor confirmatory factor analyses and structural equation modeling) of ADHD, AUD and shared symptom dimensions to identify unique and common reward-related dimensions: environmental suppressors, reward probability, hedonic capacity, proportionate substance-related reinforcement and delay discounting. RESULTS: The presence of environmental suppressors was the only reward-related construct that correlated with the underlying ADHD-AUD shared dimension. The AUD symptom dimension was uniquely associated with proportionate substance-related reinforcement, whereas the ADHD symptom dimension was uniquely associated with limited reward probability. No significant associations were found for delay discounting or hedonic capacity. CONCLUSIONS: These novel findings highlight specific aspects of reward-related functioning in ADHD, AUD and shared symptom dimensions. In so doing, this work meaningfully advances theoretical conceptualizations of these two commonly co-occurring presentations and suggests future directions for research on transdiagnostic correlates. Future longitudinal studies should include clinical samples with diagnoses of AUD and ADHD to further identify underlying correlates over time.

The associations between posttraumatic stress disorder and delay discounting, future orientation, and reward availability: A behavioral economic model.

The theoretical framework of behavioral economics, a metatheory that integrates operant learning and economic theory, has only recently been applied to posttraumatic stress disorder (PTSD). A behavioral economic theory of PTSD reflects an expansion of prior behavioral conceptualization of PTSD, which described PTSD in terms of respondent and operant conditioning. In the behavioral economic framework of PTSD, negatively reinforced avoidance behavior is overvalued, in part due to deficits in environmental reward, and may be conceptualized as a form of reinforcer pathology (i.e., excessive preference for and valuation of an immediate reinforcer). We investigated cross-sectional relationships between PTSD severity and several constructs rooted in this behavioral economic framework, including future orientation, reward availability, and delay discounting in a sample of 110 military personnel/veterans (87.2% male) who had served combat deployments following September 11, 2001. Total PTSD severity was inversely related to environmental reward availability, ß = -.49, ΔR2 = 0.24, p < .001; hedonic reward availability, ß = -.32, ΔR2 = 0.10, p = .001; and future orientation, ß = -.20, ΔR2 = 0.04, p = .032, but not delay discounting, r = -.05, p = .633. An examination of individual symptom clusters did not suggest that avoidance symptoms were uniquely associated with these behavioral economic constructs. The findings offer support for a behavioral economic model of PTSD in which there is a lack of positive reinforcement as well as a myopic focus on the present.

Identifying Patterns of Alcohol Use and Obesity-Related Factors Among Emerging Adults: A Behavioral Economic Analysis.

BACKGROUND: Although heavy alcohol consumption and maladaptive eating behaviors have been shown to co-occur among college students, less is known about the co-occurrence of these behaviors in a more diverse community-dwelling, emerging adult sample. The purpose of this study was to: (i) identify classes of emerging adults by their reported alcohol consumption patterns, food addiction symptoms, and body mass index; and (ii) determine whether these classes differed on indices of behavioral economic reinforcer pathology (e.g., environmental reward deprivation, impulsivity, alcohol demand). METHOD: Emerging adult participants were recruited as part of a study on risky alcohol use (n = 602; 47% white, 41.5% Black; mean age = 22.63, SD = 1.03). Participants completed questionnaires on alcohol and food-related risk factors and underwent anthropometric assessment. RESULTS: Latent profile analysis suggested a four-profile solution: a moderate alcohol severity, overweight profile (Profile 1; n = 424, 70.4%), a moderate alcohol severity, moderate food addiction + obese profile (Profile 2; n = 93, 15.4%), a high alcohol severity, high food addiction + obese profile (Profile 3; n = 44, 7.3%), and a high alcohol severity, overweight profile (Profile 4; n = 41, 6.8%). Individuals in Profile 1 reported significantly lower levels of environmental reward deprivation than either Profile 2 or 3, and participants in Profile 3 reported significantly higher environmental reward deprivation than those in Profile 4 (p < 0.001). Profile 4 demonstrated significantly higher alcohol demand intensity and Omax and lower demand elasticity than Profile 1, Profile 2, or Profile 3. Profile 4 also demonstrated significantly greater proportionate substance-related reinforcement than Profile 1 (p < 0.001) and Profile 2 (p = 0.004). CONCLUSION: Maladaptive eating patterns and alcohol consumption may share common risk factors for reinforcer pathology including environmental reward deprivation, impulsivity, and elevated alcohol demand.

COVID-19 impacts on drinking and mental health in emerging adults: Longitudinal changes and moderation by economic disruption and sex.

BACKGROUND: There are significant concerns that the COVID-19 pandemic may have negative effects on substance use and mental health, but most studies to date are cross-sectional. In a sample of emerging adults, over a two-week period during the pandemic, the current study examined: (1) changes in drinking-related outcomes, depression, anxiety, and posttraumatic stress disorder and (2) differences in changes by sex and income loss. The intra-pandemic measures were compared to pre-pandemic measures. METHODS: Participants were 473 emerging adults (Mage  = 23.84; 41.7% male) in an existing longitudinal study on alcohol misuse who were assessed from June 17 to July 1, 2020, during acute public health restrictions in Ontario, Canada. These intra-pandemic data were matched to participant pre-pandemic reports, collected an average of 5 months earlier. Assessments included validated measures of drinking, alcohol-related consequences, and mental health indicators. RESULTS: Longitudinal analyses revealed significant decreases in heavy drinking and adverse alcohol consequences, with no moderation by sex or income loss, but with substantial heterogeneity in changes. Significant increases in continuous measures of depression and anxiety were present, both of which were moderated by sex. Females reported significantly larger increases in depression and anxiety. Income loss >50% was significantly associated with increases in depression. CONCLUSIONS: During the initial phase of the pandemic, reductions in heavy drinking and alcohol consequences were present in this sample of emerging adults, perhaps due to restrictions on socializing. In contrast, there was an increase in internalizing symptoms , especially in females, highlighting disparities in the mental health impacts of the pandemic.

Trajectories of reward availability moderate the impact of brief alcohol interventions on alcohol severity in heavy-drinking young adults.

BACKGROUND: Behavioral economic theory predicts that low access to environmental reward is a risk factor for alcohol use disorder (AUD). The Substance-Free Activity Session (SFAS) is a behavioral economic supplement to standard brief alcohol interventions that attempts to increase environmental reward and may therefore have beneficial effects, particularly for individuals with low levels of environmental reward. METHODS: Participants were 393 college students who reported at least 2 heavy-drinking episodes in the past month. Participants were randomly assigned to 1 of 3 conditions following a baseline assessment: a standard alcohol-focused brief motivational intervention plus relaxation training session (BMI + RT), BMI plus Substance-Free Activity Session (BMI + SFAS), or an assessment-only control condition (AO). In a secondary analysis of the data from this study, we used person-centered statistical techniques to describe trajectories of alcohol severity and environmental reward over a 16-month follow-up and examined whether environmental reward levels moderated the effectiveness of the interventions. RESULTS: Piecewise growth mixture modeling identified 2 trajectories of reward availability: low increasing (LR; n = 120) and high stable (HR; n = 273). Depressive symptoms, cannabis use, sensation seeking, and low life satisfaction were associated with a greater probability of classification in the LR trajectory. Alcohol severity was greater in the LR trajectory than the HR trajectory. For students in the LR trajectory, at 1, 6, and 12 months, BMI + SFAS led to greater increases in reward availability and reduced levels of alcohol severity compared with the BMI + RT and AO conditions and at 16 months compared with AO. CONCLUSIONS: Young adults with low levels of environmental reward are at heightened risk for greater alcohol severity and may show greater benefit from brief alcohol interventions that focus on increasing substance-free reward than individuals who are not deficient in reward availability.

Multidimensional elements of impulsivity as shared and unique risk factors for food addiction and alcohol misuse.

Food addiction (FA) and alcohol misuse tend to co-occur, which suggests shared factors in the etiology and persistence of these health behaviors. One shared factor that has been linked to both is impulsivity, a multidimensional construct reflecting multiple facets of self-regulatory capacity. However, co-occurrence also raises issues of possible confounding if both domains are not considered concurrently, and the intersection between FA, alcohol misuse, and impulsivity has not been well characterized empirically. Therefore, the current study examined the intersection of FA, alcohol consequences, and multiple indicators of impulsivity. Participants were emerging adults reporting regular heavy episodic drinking recruited from Hamilton, Ontario (N = 730; ages 19.5-23). Participants completed measures of FA, alcohol problems, impulsive personality traits (i.e., Barratt Impulsiveness Scales, UPPS-P Impulsive Behavior Scales), impulsive choice (i.e., delay discounting), impulsive action (i.e., Go/NoGo task). Findings revealed a significant association between FA and alcohol-related consequences and both shared similar associations with specific impulsive personality traits (Positive and Negative Urgency, Lack of Premeditation, Motor and Attentional Impulsivity). However, alcohol-related consequences were uniquely associated with other impulsive personality traits (Lack of Perseverance, Sensation Seeking, Non-planning impulsivity) and impulsive choice, and FA was uniquely associated with impulsive action. Beyond alcohol-related consequences, FA was associated with additional variance in measures of impulsive personality traits (Positive and Negative Urgency, Lack of Premeditation, Motor Impulsivity, and Attentional Impulsivity) and impulsive action, but not impulsive choice. Overall, the current study reveals several common self-regulatory processes associated with both adverse drinking consequences and FA, and that the risk of inadvertent confounding appears to be limited.

Integrating Behavioral Economic and Social Network Influences in Understanding Alcohol Misuse in a Diverse Sample of Emerging Adults.

BACKGROUND: Behavioral economic alcohol demand is a measure of motivation to consume alcohol and a robust risk factor for alcohol misuse. Social networks that are dense with alcohol are also associated with heavy drinking, but the intersection of these risk factors has not been investigated to date. This study examined these interrelationships with structural equation modeling using cross-sectional data from a diverse community sample of heavy-drinking emerging adults (N = 602). METHODS: Latent variables for alcohol social network, alcohol demand, and alcohol misuse were constructed. Next, relations between the latent variables were examined, including the indirect effect of alcohol demand in the relation between alcohol social network and alcohol misuse. An alternative modeling testing the indirect effect of alcohol social network on the relation between alcohol demand and misuse was also tested. RESULTS: When alone in the model, social network alcohol density significantly predicted alcohol misuse. When alcohol demand was included in the model, social network alcohol density predicted alcohol demand, alcohol demand predicted alcohol misuse, and an indirect effect on alcohol misuse through alcohol demand was present. In the alternative model, an indirect effect was not present between alcohol demand and alcohol misuse by social network alcohol density. Exploratory analyses revealed significant sex, race, and college status differences. CONCLUSIONS: These results suggest that the influence of social network alcohol density on alcohol misuse may be, in part, through variance accounted for by alcohol reinforcing value. Longitudinal testing of this mechanistic pathway is warranted.

Using Demand Curves to Quantify the Reinforcing Value of Social and Solitary Drinking.

BACKGROUND: Young adults typically drink in social settings and report high levels of episodic heavy drinking despite a range of adverse consequences. Behavioral economics posits that this may reflect a reinforcer pathology in which alcohol is overvalued relative to other reinforcers. Theoretically, the value of alcohol is related to both the direct pharmacological effects of alcohol (euphoria, sedation) and the associated social reinforcement, but to date no studies have differentiated the value of social vs. solitary drinking. The current study examines two modified hypothetical alcohol purchase tasks (APTs), one explicitly social and one explicitly solitary, in order to quantify the reward value of social vs. solitary drinking and to determine whether there are unique clinical correlates of solitary alcohol demand. METHODS: Participants were young adults (N = 274, Mage  = 25.15, SD = 4.10) recruited from Mturk and from a university subject pool. Participants completed a solitary and social APT, in addition to measures of alcohol consumption and problems. RESULTS: Participants reported significantly greater demand in the social APT compared to the solitary APT across all demand indices. Elevated solitary and social demand were associated with elevated levels of alcohol use and problems. Using a residualized change approach, solitary demand amplitude (maximum consumption and expenditure) and persistence (price sensitivity) contributed additional variance above and beyond their social APT composite counterparts in predicting typical drinks per week and the self-care, academic/occupational, and physical dependence subscales of the YAACQ. CONCLUSIONS: The presence of peers increases alcohol demand compared to a solitary scenario, and greater relative solitary drinking demand may be a risk factor for greater alcohol consumption and problems.

High Opportunity Cost Demand as an Indicator of Weekday Drinking and Distinctly Severe Alcohol Problems: A Behavioral Economic Analysis.

INTRODUCTION: Behavioral economic theory views addiction as a reinforcer pathology characterized by excessive demand for drugs relative to alternatives. Complementary to this theory, Lamb and Ginsburg (Pharmacology Biochemistry and Behavior, 164, 2018, 62) describe addiction as a behavioral allocation disorder and predict that decisions to drink under increasingly stringent constraints are a central indicator of addiction. This study used a modified demand-curve paradigm to examine alcohol demand in the context of a next-day contingency (high opportunity cost demand) as a specific indicator of a severe pattern of alcohol problems. METHODS: Participants were 370 undergraduates (61.1% female, 86.5% white, Mage  = 18.8) reporting multiple past-month heavy drinking episodes (5/4 drinks per occasion for men/women) who completed 2 versions of an alcohol purchase task (APT), along with measures of past-month alcohol use and problems. In 1 APT (low opportunity cost), students imagined they had no next-day responsibilities, and in the other APT (high opportunity cost), they imagined having a 10:00 am test the next day. Item-response theory analyses were used to determine mild and severe alcohol problems from the Young Adult Alcohol Consequences Questionnaire (Journal of Studies on Alcohol, 67, 2006, 169), and the most and least severe binge drinking days throughout the week. RESULTS: Low opportunity cost demand (ß = 0.15, p = 0.02) significantly predicted beyond high opportunity cost demand for the least severe problems, and high opportunity cost demand (ß = 0.17, p = 0.009) significantly predicted beyond low opportunity cost demand for the most severe problems. Similarly, low opportunity cost demand (ß = 0.26, p < 0.001) was more highly associated with weekend drinking, whereas high opportunity cost demand (ß = 0.21, p = 0.001) was more highly associated with weekday drinking. CONCLUSIONS: The current results suggest high opportunity cost alcohol demand is a distinct marker of severe alcohol problems among college student heavy drinkers.

Brief Motivational Interventions Are Associated with Reductions in Alcohol-Induced Blackouts Among Heavy Drinking College Students.

BACKGROUND: Alcohol-induced blackouts, a form of anterograde amnesia that restricts the encoding of short-term memories into long-term ones, are among the most severe alcohol-related consequences. College students are at high risk of experiencing alcohol-induced blackouts, and there is a need to determine whether alcohol interventions can effectively reduce blackouts in this population. The current study uses data from 3 randomized clinical trials to examine the effect of various intervention approaches on alcohol-induced blackouts. METHODS: Four interventions were compared over 3 studies: (i) a computerized feedback intervention (electronic Check-Up To Go [e-Chug]; Study 1); (ii) a single-session brief motivational intervention (BMI; Study 1); (iii) a BMI plus behavioral economic session focused on increasing substance-free activities (BMI + Substance-Free Activity Session [SFAS]; Studies 2 and 3); and (iv) a BMI plus supplemental Relaxation Training session (BMI + Relaxation Training; Studies 2 and 3). Studies 1 and 3 also included an assessment-only control condition. For each study, participants reported whether they had experienced an alcohol-induced blackout at each time point; binary logistic regressions examined differential likelihood of experiencing an alcohol-induced blackout over time. RESULTS: Neither the single-session BMI nor e-Chug reduced alcohol-induced blackouts over assessment only; however, participants in the BMI + SFAS or BMI + Relaxation Training condition were significantly less likely to experience an alcohol-induced blackout compared to assessment only at 1-month (Wald = 4.77, odds ratio [OR] = 0.53, p = 0.03) and 6-month follow-ups (Wald = 5.72, OR = 0.52, p = 0.02). Study 2 also revealed a larger effect for the BMI + SFAS over the BMI + Relaxation Training condition at 6 months (Wald = 4.11 OR = 0.22, p = 0.043), although this was not replicated in Study 3. The effects for the 2-session BMIs lasted 6 months, at which point maturation effects diminished differences between assessment-only and intervention conditions. CONCLUSIONS: Two sessions of BMI are a substantial enough dose to result in reductions in alcohol-induced blackouts among college student heavy drinkers.

Evaluating Behavioral Economic Models of Heavy Drinking Among College Students.

BACKGROUND: Heavy drinking among college students is a significant public health concern that can lead to profound social and health consequences, including alcohol use disorder. Behavioral economics posits that low future orientation and high valuation of alcohol (alcohol demand) combined with deficits in alternative reinforcement increase the likelihood of alcohol misuse. Despite this, no study has examined the incremental utility of all 3 variables simultaneously in a comprehensive model. METHODS: This study uses structural equation modeling to test the associations between behavioral economic variables-alcohol demand (latent), future orientation (measured with a delay discounting task and the Consideration of Future Consequences [CFC] scale), and proportionate substance-related reinforcement-and alcohol consumption and problems among 393 heavy drinking college students. Two models are tested as follows: (i) an iteration of the reinforcer pathology model that includes an interaction between future orientation and alcohol demand; and (ii) an alternative model evaluating the interconnectedness of behavioral economic variables in predicting problematic alcohol use. RESULTS: The interaction effects in Model 1 were nonsignificant. Model 2 suggests that greater alcohol demand and proportionate substance-related reinforcement are associated with greater alcohol consumption and problems. Furthermore, CFC was associated with alcohol-related problems and lower proportionate substance-related reinforcement but was not significantly associated with alcohol consumption or alcohol demand. Finally, greater proportionate substance-related reinforcement was associated with greater alcohol demand. CONCLUSIONS: Our results support the validity of the behavioral economic reinforcer pathology model as applied to young adult heavy drinking.

Brief Motivational Intervention for Underage Young Adult Drinkers: Results from a Randomized Clinical Trial.

BACKGROUND: While there is a substantial literature on the efficacy of brief motivational intervention (BMI) for college student drinkers, research has focused less on young adults who do not attend a 4-year college, despite their elevated risk for excessive alcohol use and associated harmful consequences. METHODS: This randomized controlled trial (NCT01546025) compared the efficacy of BMI to a time-matched attention control intervention (relaxation training [REL]) for reducing alcohol consumption and related negative consequences in an underage young adult sample. BMI was tailored to the developmental transition out of high school for young adults who were not immediately planning to enroll in a 4-year college. Non-treatment-seeking underage drinkers who reported past-month heavy drinking (N = 167; ages 17 to 20; 42% female; 59% non-Hispanic White) were randomly assigned to receive a single session of BMI or REL. Outcomes were evaluated 6 weeks and 3 months postintervention via in-person assessments. RESULTS: Generalized estimating equation models provided strong support for the efficacy of BMI for reducing harmful drinking in these young adults. Compared to REL, and after controlling for baseline covariates including gender, those who received BMI subsequently reported significantly fewer average drinks per week, percent drinking days, percent heavy drinking days, lower peak and typical estimated blood alcohol concentration on drinking days, and fewer adverse consequences of drinking (all ps < 0.05). These between-group effects did not weaken over the course of the 3-month follow-up period. CONCLUSIONS: These findings demonstrate an efficacious approach to tailoring BMI for non-college-attending young adults. Future research should replicate and extend these findings over a longer follow-up period.

Words can hurt: The effects of physical and psychological partner violence on condom negotiation and condom use among young women.

Physical and psychological intimate partner violence (IPV) are prevalent on college campuses and may affect young women's condom use behavior. This study explored condom negotiation as a mediator of the relation of physical and psychological IPV to condom use among college women. A total of 235 heterosexual college women were recruited during September 2012-May 2013. Participants completed online questionnaires assessing lifetime history of IPV, frequency of condom negotiation, and use of condoms during the last 30 days. Specific forms of psychological IPV were related to less condom use. This association was mediated by condom negotiation, such that those who had experienced psychological IPV were less likely to negotiate condom use, and as a result, less likely to report using condoms in the past 30 days. Campus-based sexual health efforts should consider the relation of psychological IPV to condom negotiation and condom use and offer skills to promote condom negotiation among college women to increase condom use and reduce their risk of sexually transmitted infections.

Alcohol Demand, Future Orientation, and Craving Mediate the Relation Between Depressive and Stress Symptoms and Alcohol Problems.

BACKGROUND: Elevated depression and stress have been linked to greater levels of alcohol problems among young adults even after taking into account drinking level. This study attempts to elucidate variables that might mediate the relation between symptoms of depression and stress and alcohol problems, including alcohol demand, future time orientation, and craving. METHODS: Participants were 393 undergraduates (60.8% female, 78.9% White/Caucasian) who reported at least 2 binge-drinking episodes (4/5+ drinks for women/men, respectively) in the previous month. Participants completed self-report measures of stress and depression, alcohol demand, future time orientation, craving, and alcohol problems. RESULTS: In separate mediation models that accounted for gender, race, and weekly alcohol consumption, future orientation and craving significantly mediated the relation between depressive symptoms and alcohol problems. Alcohol demand, future orientation, and craving significantly mediated the relation between stress symptoms and alcohol problems. CONCLUSIONS: Heavy-drinking young adults who experience stress or depression are likely to experience alcohol problems, and this is due in part to elevations in craving and alcohol demand, and less sensitivity to future outcomes. Interventions targeting alcohol misuse in young adults with elevated levels of depression and stress should attempt to increase future orientation and decrease craving and alcohol reward value.

Depressive Symptoms and Cigarette Demand as a Function of Induced Stress.

INTRODUCTION: Depressed smokers may disproportionately value cigarettes as compared to other reinforcers in the context of increases in negative affect (NA). Thus, cigarette demand may be an important construct for understanding the relationship between depression, NA change, and tobacco use. The aim of the current study was to examine the interaction between depressive symptoms and change in NA as a function of induced mood as a predictor of cigarette demand. METHODS: Participants included 73 young adult daily smokers (41.70% female, 73.60% White, age M (SD) = 19.70 (1.15)) who attended two experimental sessions: one stress and one neutral. During each session, participants completed ratings of depressive symptoms, NA, and cigarette demand. RESULTS: We examined the predictive utility of depressive symptoms, change in NA as a result of a stressor, and the interaction between depressive symptoms and NA change on demand indices. Separate models were constructed by session. Results indicated significant interactive effects between depressive symptoms and change in NA for predicting intensity, breakpoint, and P max during the stress session. Specifically, change in NA moderated the relationship between depression and demand indices such that among individuals high in NA change, depressive symptoms were positively related to P max and breakpoint, whereas among individuals low in NA change, depressive symptoms were positively related to intensity. CONCLUSIONS: When exposed to stress, cigarettes may become more valuable for individuals with depressive symptoms. IMPLICATIONS: This study contributes to the literature attempting to understand the complex relationships between depression, stress-related changes in NA, and tobacco use. This study suggests that one mechanism that may be important to the relationship between depression and tobacco use is cigarette demand. Specifically, for individuals with elevated depressive symptoms, certain aspects of cigarette demand may be higher (intensity, breakpoint, and P max) when exposed to stress, which may contribute to tobacco use being maintained over time.