No abstract

Objective: A substantial number of people reduce their consumption of alcohol in the absence of formal treatment; however, less is known about the mechanisms of change. The aim of this study is to explore whether constructs derived from behavioral economics and computational decision-modeling characterize the moderation of alcohol consumption that many heavy drinkers experience without treatment. Method: Between-subject, preregistered design. People who reside in the United Kingdom and who drink heavily (n = 60) or used to drink heavily but now consume alcohol in moderation (n = 60) were recruited. Participants completed self-report behavioral economic measures (alcohol demand and alcohol-related and alcohol-free reinforcement) and a two-alternative forced choice task in which they chose between two alcoholic (in one block) or two soft drink images (in a different block). A drift-diffusion model was fitted to responses from this task to yield the underlying parameters of value-based choice. Results: Compared to heavy drinkers, moderated drinkers had significantly lower alcohol demand, O max , p = .03, Cohen's d = .36; elasticity, p = .03, rank-biserial correlation (r rb ) = .21, and higher proportionate alcohol-free reinforcement ( p < .001, Cohen's d = .75). However, contrary to hypotheses, there were no robust between-group differences in value-based decision-making (VBDM) parameters. Conclusions: Self-report behavioral economic measures demonstrate that alcohol moderation without treatment is characterized by lowered alcohol demand and greater behavioral allocation to alcohol-free reinforcement, in line with behavioral economic theory. However, a computerized VBDM measure yielded inconclusive findings. Public Health Significance StatementIt is common for people to reduce their consumption of alcohol, including those who consume alcohol heavily but are not dependent. This study highlights the importance of lowered alcohol demand and heightened behavioral allocation toward activities that do not involve alcohol. Findings may inform interventions for heavy drinkers who would like to moderate their alcohol consumption.

No abstract

Manuscript accepted for publication in Addictive Behaviors Reports, 25th January 2020.

Background and Aims A range of experimental paradigms claim to measure the cognitive processes underpinning alcohol use, suggesting that heightened attentional bias, greater approach tendencies and reduced cue‐specific inhibitory control are important drivers of consumption. This paper identifies methodological shortcomings within this broad domain of research and exemplifies them in studies focused specifically on alcohol‐related attentional bias. Argument and analysis We highlight five main methodological issues: (i) the use of inappropriately matched control stimuli; (ii) opacity of stimulus selection and validation procedures; (iii) a credence in noisy measures; (iv) a reliance on unreliable tasks; and (v) variability in design and analysis. This is evidenced through a review of alcohol‐related attentional bias (64 empirical articles, 68 tasks), which reveals the following: only 53% of tasks use appropriately matched control stimuli; as few as 38% report their stimulus selection and 19% their validation procedures; less than 28% used indices capable of disambiguating attentional processes; 22% assess reliability; and under 2% of studies were pre‐registered. Conclusions Well‐matched and validated experimental stimuli, the development of reliable cognitive tasks and explicit assessment of their psychometric properties, and careful consideration of behavioural indices and their analysis will improve the methodological rigour of cognitive alcohol research. Open science principles can facilitate replication and reproducibility in alcohol research.