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Evaluating Behavioral Economic Models of Heavy Drinking Among College Students.

ABSTRACT: 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.

SUBMITTER: Acuff SF

PROVIDER: S-EPMC6028289 | biostudies-other | 2018 Jul

REPOSITORIES: biostudies-other

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Evaluating Behavioral Economic Models of Heavy Drinking Among College Students.

Acuff Samuel F SF Soltis Kathryn E KE Dennhardt Ashley A AA Berlin Kristoffer S KS Murphy James G JG

Alcoholism, clinical and experimental research 20180604 7

<h4>Background</h4>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 mod ...[more]

PMID: 29757460

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Project description:Heavy episodic drinking (HED) is highly prevalent in college students. In Argentina, there is a notable lack of longitudinal studies examining drinking trajectories. The present study identified HED trajectories in Argentinean college students during the first 3 years of college (seven waves) and examined the association between risk factors for alcohol use and HED trajectories. The sample was composed of 1,240 college students [63.1% women, aged 18-25 years (M = 19.1 ± 1.7)] who completed at least three waves (the first data collection and ?2 follow-ups). For 3 years, participants completed seven surveys that measured HED frequency, age of drinking onset, drunkenness occurrence, trait impulsivity, family history of alcohol abuse, stressful life events, and perceived peer's drinking. Latent Class Growth Analysis (LCGA) and Multinomial Logistic Regression (MLR) were used to identify the pattern and number of HED trajectories and to explore which risk factors better distinguished between the trajectories, respectively. Six HED trajectories were identified: Heavy Stable Frequency, Moderate Stable Frequency, Moderate Decreasing Frequency, Stable Infrequent, Decreasing Infrequent, and No-HED. Younger age of drinking onset, alcohol intoxication, greater perception of peer drinking frequency and higher levels of impulsivity (i.e., sensation seeking, lack of premeditation, and positive urgency) increased the probability of belonging to the trajectories with more frequent HED. These trajectories partially coincide with those identified in studies from other cultures. Unlike previous studies, we did not find a trajectory with increasing/ascending HED frequency. This may be related to contextual/cultural variables unique to Argentina, like differences in the age when the peak in alcohol consumption is reached or the legal minimum age to buy alcoholic beverages in this country, and the idiosyncratic elements that characterize college life in Argentina. This work represents a step forward in the identification of risk factors differentiating between different HED trajectories, and help understand changes in alcohol use during college, in an understudied population.

Project description:BackgroundAlcohol-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.MethodsFour 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.ResultsNeither 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.ConclusionsTwo sessions of BMI are a substantial enough dose to result in reductions in alcohol-induced blackouts among college student heavy drinkers.

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Evaluating Behavioral Economic Models of Heavy Drinking Among College Students.

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Evaluating Behavioral Economic Models of Heavy Drinking Among College Students.

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