Behavioral economics indices predict alcohol use and consequences in young men at 4‐year follow‐up. (13th July 2022)

• Record Type: Journal Article
• Authors: Gaume, Jacques; Murphy, James G.; Studer, Joseph; Daeppen, Jean‐Bernard; Gmel, Gerhard; Bertholet, Nicolas
• Is Part Of: Addiction. Volume 117:Number 11(2022)
• Page Start: 2816
• Page End: 2825
• Publication Date: 2022-07-13
• Subjects: Alcohol purchase task -- alcohol reward value -- alcohol use disorder criteria -- alcohol‐related consequences -- behavioral economics -- long‐term predictive utility -- prospective cohort study; Alcoholism -- Periodicals; Drug addiction -- Periodicals; 616.86
• DOI: 10.1111/add.15986
• Languages: English
• ISSNs: 0965-2140

Abstract

Abstract: Background and Aims: The alcohol purchase task (APT), which presents a scenario and asks participants how many drinks they would purchase and consume at different prices, generates indices of alcohol reward value that have shown robust associations with alcohol‐related outcomes in numerous studies. The aim was to test its prospective validity at 4‐year follow‐up. Design: Prospective cohort study. Setting: General population sample of young Swiss men. Participants: A total of 4594 Swiss young men (median age = 21, 25th ‐ 75th quartiles = 20.5 ‐ 21.5) completed baseline questionnaires; among those, 4214 (91.7%) were successfully followed‐up 4 years later. Measurements: Alcohol reward value parameters (i.e. intensity, the planned consumption when drinks are free; breakpoint, the price at which consumption would be suppressed; Omax, the maximum alcohol expenditure; Pmax, the price associated with Omax ; and elasticity, the relative change in alcohol consumption as a function of the relative change in price) were derived from the APT at baseline and used to predict self‐reported weekly drinking amount, monthly binge drinking, alcohol‐related consequences and DSM‐5 alcohol use disorder criteria. Findings: Regression analyses, adjusting for the baseline alcohol measure, age, linguistic region and socio‐economic indicators showed that intensity, breakpoint, Omax and elasticity significantly predicted all tested outcomes in the expected direction (e.g. standardized incidence rate ratio [95% confidence interval] = 1.11 [1.07–1.15], 1.07 [1.03–1.10], 1.08 [1.04–1.11], and 0.92 [0.89–0.95], respectively, for weekly drinking amount, all P < 0.001). Pmax did not significantly predict any outcomes. Non‐adjusted correlations, baseline adjusted regression and ancillary analyses using (1) latent alcohol variables, (2) multiple imputation for missing data and (3) replications in training and testing subsamples to evaluate predictive accuracy provided consistent findings. Conclusions: The alcohol purchase task demand curve measures of alcohol reward value are useful in characterizing alcohol‐related risk in young men and have long‐term predictive utility.