Implicit and explicit alcohol-related motivations among college binge drinkers

Herschl, Laura C.; McChargue, Dennis E.; MacKillop, James; Stoltenberg, Scott F.; Highland, Krista B

doi:10.1007/s00213-011-2613-9

Cited by 17 publications

(9 citation statements)

References 48 publications

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“…Higher scores correspond to more frequent alcohol problems. The RAPI is one of the most widely used measures of alcohol problems among college students (e.g., Herschle, McChargue, Killop, Stoltenberg, & Highland, 2012;Kazemi, Sun, Nies, Dmochowski, & Walford, 2012) and has demonstrated good validity and reliability. RAPI items were recoded as dichotomous before being summed for a total score; thus, scores could range from 0-23.…”

Section: Methodsmentioning

confidence: 99%

Drinking Motives as a Moderator of the Relationship Between Dating Violence Victimization and Alcohol Problems

Haynes

Strauss

Stuart

et al. 2017

Violence Against Women

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The present study sought to examine whether drinking motives (i.e., coping, social, conformity, and enhancement) moderated the relationship between physical, sexual, and psychological dating violence victimization and alcohol-related problems in a sample of drinking college women ( N = 177). Results demonstrated that coping and social drinking motives moderated the relationship between sexual victimization and alcohol problems; conformity, social, and enhancement drinking motives moderated the relationship between alcohol-related problems and physical victimization; no significant findings were evident for psychological aggression victimization. Our results partially support the self-medication model of alcohol use, and this may be particularly relevant to sexual victimization.

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Section: Methodsmentioning

confidence: 99%

Drinking Motives as a Moderator of the Relationship Between Dating Violence Victimization and Alcohol Problems

Haynes

Strauss

Stuart

et al. 2017

Violence Against Women

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“…In addition, residential laboratory studies convincingly demonstrated that alcohol consumption was sensitive to increases in response cost and the presence of alternative reinforcers (e.g., Bigelow et al., ; Griffiths et al., ; Sanders et al., ; for a review, see Bigelow, ), key predictions from operant theory. Using self‐report measures, it is also clear that alcohol has both positively reinforcing properties that enhance an experience (e.g., stimulation, self‐perception, social enhancement, gustatory properties) and negatively reinforcing properties that remove unpleasant experiences (e.g., anxiolysis, alleviation of depression) (Carey and Correia, ; Corbin et al., ; Darkes et al., ; Herschl et al., ; Kuntsche et al., ). Importantly, these different forms of positive and negative reinforcement are not mutually exclusive and operate concurrently, reflecting an individual's underlying motivational schemata for alcohol reinforcement.…”

Section: Theoretical Foundationsmentioning

confidence: 99%

“…It is beyond the scope of this review to unpack the specific findings on an index‐by‐index basis, but, in general, the largest effect sizes in the studies to date have tended to be for intensity and O max , with somewhat smaller relationships for breakpoint and elasticity (e.g., MacKillop et al., ). In terms of interrelationships, the correlations among the indices vary considerably, ranging from negligible to very high (e.g., Herschl et al., ; Murphy and MacKillop, ; Murphy et al., ). However, 2 studies examined the latent structure of these relationships and have found a binary factor structure to the data, with intensity and O max loading on 1 factor and elasticity, breakpoint, and O max loading on the other ( O max loading on both) (Bidwell et al., ; MacKillop et al., ).…”

Section: Three Core Behavioral Economic Assays For Understanding Alcomentioning

confidence: 99%

The Behavioral Economics and Neuroeconomics of Alcohol Use Disorders

MacKillop

2016

Alcoholism Clin & Exp Res

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137

126

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Background Behavioral economics and neuroeconomics bring together perspectives and methods from psychology, economics, and cognitive neuroscience to understand decision making and choice behavior. Extending an operant behavioral theoretical framework, these perspectives have increasingly been applied to understanding alcohol use disorders (AUDs) and this review surveys the theory, methods, and findings from this approach. The focus is on three key behavioral economic concepts: delay discounting (i.e., preferences for smaller immediate rewards relative to larger delayed rewards), alcohol demand (i.e., alcohol reinforcing value), and proportionate alcohol-related reinforcement (i.e., relative amount of psychosocial reinforcement associated with alcohol use). Findings Delay discounting has been linked to AUDs in both cross-sectional and longitudinal studies, and has been investigated cross-sectionally using neuroimaging. Alcohol demand and proportionate alcohol-related reinforcement have both been robustly associated with drinking and alcohol misuse cross-sectionally, but not over time. Both have also been found to predict treatment response to brief interventions. Alcohol demand has also been used to enhance the measurement of acute motivation for alcohol in laboratory studies. Interventions that focus on reducing the value of alcohol by increasing alternative reinforcement and response cost have been found to be efficacious, albeit in relatively small numbers of randomized controlled trials (RCTs). Mediators and moderators of response to these interventions have not been extensively investigated. Future Directions The application of behavioral economics and neuroeconomics to AUDs has given rise to an extensive body of empirical work, although significant gaps in knowledge remain. In particular, there is a need for more longitudinal investigations to clarify the etiological roles of these behavioral economic processes, especially alcohol demand and proportionate alcohol reinforcement. Additional RCTs are needed to extend and generalize the findings from reinforcement-based interventions and to investigate mediators and moderators of treatment success for optimization. Applying neuroeconomics to AUDs remains at an early stage and has been primarily descriptive to date, but has high potential for important translational insights in the future. The same is true for using these behavioral economic indicators to understand genetic influences on AUDs.

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“…7-9 These expectations have been extensively studied in behavioral medicine and found to affect multiple health behaviors, including alcohol consumption, smoking, and weight management. 10-16 Individuals who consume excessive alcohol may have multiple positive outcome expectancies about its perceived benefits. Examples include social confidence, sexual attractiveness, and general euphoria.…”

Section: Outcome Expectanciesmentioning

confidence: 99%

Addressing Outcomes Expectancies in Behavior Change

Reesor

Vaughan

Hernandez

et al. 2017

American Journal of Lifestyle Medicine

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Individuals commonly seek help for problem health behaviors, such as excessive drinking, smoking, and weight gain. Yet, there is a high rate of recidivism in these behaviors because outcome expectancies are either too high, negative outcome expectancies are not considered, or outcome expectancies are not properly addressed. Healthcare providers are recommended to list the outcome expectancy for the problem behavior and corresponding treatment for their patient. Through the process it is important to acknowledge both the positive and negative outcomes of engaging in the problem behavior. Healthcare providers are then encouraged to have their patient identify the goals and objectives that will assist in achieving the desired outcome. By recognizing and addressing outcome expectancies, it is more likely that the patient will be less resistant to the healthcare provider’s recommendations to change problematic behavior.

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Implicit and explicit alcohol-related motivations among college binge drinkers

Abstract: Implicit and explicit drinking motivations are differentially associated with problem drinking behaviors. Future research should examine the underlying neurobiological mechanisms associated with these factors.

Cited by 17 publications

References 48 publications

Drinking Motives as a Moderator of the Relationship Between Dating Violence Victimization and Alcohol Problems

Drinking Motives as a Moderator of the Relationship Between Dating Violence Victimization and Alcohol Problems

The Behavioral Economics and Neuroeconomics of Alcohol Use Disorders

Addressing Outcomes Expectancies in Behavior Change

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