Objective Behavioral economic theory suggests that a reduction in substance use is most likely when there is an increase in rewarding substance-free activities. The goal of this randomized controlled clinical trial was to evaluate the incremental efficacy of a novel behavioral economic supplement (Substance-Free Activity Session, SFAS) to a standard alcohol brief motivational interviewing (BMI) session for heavy drinking college students. Method Participants were 82 first-year college students (50% female, 81.7% White/European American, Mean age = 18.5 years, SD = .71) who reported two or more past-month heavy drinking episodes. After completing a baseline assessment and an individual alcohol-focused BMI, participants were randomized to either the SFAS or to a Relaxation Training (RT) control session. The SFAS was delivered in an MI style and attempted to increase the salience of delayed academic and career rewards and the patterns of behavior leading to those rewards. Results The combination of an alcohol BMI plus the SFAS was associated with significantly greater reductions in alcohol problems compared to an alcohol BMI plus RT at the 1-month and 6-month follow-up assessments (p = .015, ηp2 = .07), an effect that was partially mediated by increases in protective behavioral strategies. BMI + SFAS was also associated with greater reductions in heavy drinking among participants who at baseline reported low levels of substance-free reinforcement or symptoms of depression. Conclusion These results are consistent with behavioral economic theory and suggest that a single session focused on increasing engagement in alternatives to drinking can enhance the effects of brief alcohol interventions.

Recent clinical research suggests that several self-report behavioral economic measures of relative reinforcing efficacy (RRE) may show utility as indices of substance abuse problem severity. The goal of the present study was to evaluate the reliability and validity of the Alcohol Purchase Task (APT), a RRE measure that uses hypothetical choices regarding alcohol purchases at varying prices (demand curves) to generate several indices of alcohol-related reinforcement. Participants were 38 college students who reported recent alcohol consumption. Both the raw alcohol purchase/consumption values and several of the computed reinforcement parameters (intensity & Omax) showed good to excellent 2-week test-retest reliability. Reinforcement parameters derived from both a linear-elasticity (Hursh, Raslear, Bauman, & Black, 1989) and an exponential (Hursh & Silberberg, 2008) demand curve equation were generally less reliable, despite the fact that both equations provided a good fit to participants' reported consumption data. The APT measures of demand intensity (number of drinks consumed when price = 0), Omax (maximum expenditure), and elasticity (alpha) were correlated with weekly drinking, alcohol-related problems, and other self-report RRE measures (relative discretionary monetary expenditures toward alcohol and/or relative substance-related activity participation and enjoyment). Demand intensity was uniquely associated with problem drinking in a regression model that controlled for weekly consumption. These results provide support for the reliability and validity of the RRE indices generated with the APT.

OBJECTIVEType 2 diabetes is growing in epidemic proportions and disproportionately affects lower-income, diverse communities. Text messaging may provide one of the most rapid methods to overcome the “digital divide” to improve care.RESEARCH DESIGN AND METHODSA randomized, nonblinded, parallel-groups clinical trial design allocated N = 126 low-income, Hispanic participants with poorly controlled type 2 diabetes to receive the Dulce Digital intervention or usual care (UC). Dulce Digital participants received up to three motivational, educational, and/or call-to-action text messages per day over 6 months. The primary outcome was HbA1c; lipids, blood pressure, and BMI were secondary outcomes. Satisfaction and acceptability were evaluated via focus groups and self-report survey items.RESULTSThe majority of patients were middle-aged (mean age 48.43 years, SD 9.80), female (75%), born in Mexico (91%), and uninsured (75%) and reported less than a ninth-grade education level (73%) and mean baseline HbA1c 9.5% (80 mmol/mol), SD 1.3, and fasting plasma glucose 187.17 mg/dL, SD 64.75. A statistically significant time-by-group interaction effect indicated that the Dulce Digital group achieved a significantly greater reduction in HbA1c over time compared with UC (P = 0.03). No statistically significant effects were observed for secondary clinical indicators. The number of blood glucose values texted in by participants was a statistically significant predictor of month 6 HbA1c (P < 0.05). Satisfaction and acceptability ratings for the Dulce Digital intervention were high.CONCLUSIONSUse of a simple, low-cost text messaging program was found to be highly acceptable in this sample of high-risk, Hispanic individuals with type 2 diabetes and resulted in greater improvement in glycemic control compared with UC.

Objective The present study attempted to determine if behavioral economic indices of elevated alcohol reward value, measured before and immediately after a brief alcohol intervention, predict treatment response. Method Participants were 133 heavy drinking college students (49.6% female, 51.4% male; 64.3% Caucasian, 29.5% African American) who were randomized to one of three conditions: motivational interviewing plus personalized feedback (BMI), computerized personalized feedback intervention (e-CHUG), and assessment only. Results Baseline levels of alcohol demand significantly predicted drinks per week and alcohol problems at 1-month (demand intensity= maximum expenditure) and 6-month (relative discretionary expenditures on alcohol) follow-up. BMI and e-CHUG were associated with an immediate post-session reduction in alcohol demand (p < .001, ηρ2 = .29) that persisted at the 1-month follow-up, with greater post-session reductions in the BMI condition (p = .02, ηρ2 = .06). Reductions in demand intensity and Omax (maximum expenditure) immediately post-intervention significantly predicted drinking reductions at one-month follow up (p = .04, ΔR2 = .02 & p = .01, ΔR2 = .03, respectively). Reductions in relative discretionary expenditures on alcohol at 1-month significantly predicted drinking (p = .002, ΔR2 = .06,) and alcohol problem (p < .001, ΔR2 = .13) reductions at the 6-month follow-up. Conclusions These results suggest that behavioral economic reward value indices may function as risk factors for poor intervention response and as clinically-relevant markers of change in heavy drinkers.