Drinking-and-Driving–Related Cognitions Mediate the Relationship Between Alcohol Demand and Alcohol-Impaired Driving

Amlung, Michael; Morris, David H.; Hatz, Laura E.; Teeters, Jenni B; Murphy, James G.; McCarthy, Denis M.

doi:10.15288/jsad.2016.77.656

Cited by 17 publications

(17 citation statements)

References 29 publications

(46 reference statements)

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“…APTs yield multiple indices, including peak consumption at minimum price (intensity), the price that reduces consumption to zero (breakpoint), maximum expenditure (O max ), the price at which demand initially decreases (P max ), and the aggregate slope of the demand curve (elasticity). Findings indicate that these indices are reliable and valid: They correlate with lab-based alcohol consumption and traditional measures of alcohol problem severity (e.g., AUD symptoms, craving, and drinking and driving; Amlung et al, 2016;Teeters & Murphy, 2015), comorbid substance misuse (Yurasek et al, 2011), impulsivity (Amlung et al, 2013), and symptoms of depression and PTSD (Murphy et al, 2013).…”

Section: Advances In Behavioral Economic Approaches To Understanding mentioning

confidence: 93%

A dual process perspective on advances in cognitive science and alcohol use disorder

Lindgren

Hendershot

Ramirez

et al. 2019

Clinical Psychology Review

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There is a tremendous global and national (US) burden associated with alcohol misuse and alcohol use disorder (AUD). Further, of the mental health disorders, AUD has the widest treatment gap. Thus, there is a critical need for improved understanding of the etiology, maintenance, and treatment of AUD. The application of cognitive science to the study of AUD has a longstanding history of attempting to meet this need. In this selective review, we identified and focused on four domains of recent (i.e., in the last decade) applications of cognitive science to the study of AUD: implicit cognitive biases, executive function, behavioral economic approaches to alcohol decision making, and functional connectivity neuroimaging. We highlighted advances within these four domains and considered them in the context of dual process models of addiction, which focus on the contribution and interplay of two complementary neurocognitive systems (impulsive and control systems). Findings across the domains were generally consistent with dual process models. They also suggest the need for further model refinements, including integrating behavioral economic approaches and findings from functional connectivity neuroimaging studies. Research evaluating candidate interventions associated with these domains is emergent but promising, suggesting important directions for future research.

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Section: Advances In Behavioral Economic Approaches To Understanding mentioning

confidence: 93%

A dual process perspective on advances in cognitive science and alcohol use disorder

Lindgren

Hendershot

Ramirez

et al. 2019

Clinical Psychology Review

Self Cite

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“…Participants reported the maximum number of drinks they believed they could consume before safely driving [11].…”

Section: Methodsmentioning

confidence: 99%

Applying Bayesian cognitive models to decisions to drive after drinking

et al. 2021

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Background and aims Despite widespread negative perceptions, the prevalence of alcohol‐impaired driving (AID) in the United States remains unacceptably high. This study used a novel decision task to evaluate whether individuals considered both ride service cost and alcohol consumption level when deciding whether or not to drive, and whether the resulting strategy was associated with engagement in AID. Design A two‐sample study, where sample 1 developed a novel AID decision task to classify participants by decision strategy. Sample 2 was used to cross‐validate the task and examine whether decision strategy classifications were predictive of prior reported AID behavior. Setting A laboratory setting at the University of Missouri, USA. Participants Sample 1 included 38 student participants from introductory psychology classes at the University of Missouri. Sample 2 included 67 young adult participants recruited from the local community. Measurements We developed a decision task that presented hypothetical drinking scenarios that varied in quantity of alcohol consumption (one to six drinks) and the cost of a ride service ($5–25). We applied a Bayesian computational model to classify choices as consistent with either: integrating both ride cost and consumption level (compensatory) or considering only consumption level (non‐compensatory) when making hypothetical AID decisions. In sample 2, we assessed established AID risk factors (sex, recent alcohol consumption, perceived safe limit) and recent (past 3 months) engagement in AID. Findings In sample 1, the majority of participants were classified as using decision strategies consistent with either a compensatory or non‐compensatory process. Results from sample 2 replicated the overall classification rate and demonstrated that participants who used a compensatory strategy were more likely to report recent AID, even after accounting for study covariates. Conclusions In a hypothetical alcohol‐impaired driving (AID) decision task, individuals who considered both consumption level and ride service cost were more likely to report recent AID than those who made decisions based entirely on consumption level.

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“…A similar pattern appears for behavioral economic demand for alcohol and AID. College students who drive after drinking show elevated demand for alcohol, even after accounting for differences in drinking (e.g., Amlung et al, 2016). Another study (Teeters & Murphy, 2015) manipulated the environmental contingencies associated with drinking and measured demand for alcohol, without contingencies, as well as in a hypothetical scenario where individuals expected to drive 1 hr after they stopped drinking.…”

Section: Alcohol-impaired Driving (Aid) Policiesmentioning

confidence: 99%