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Risk-Taking Spikes Predict Next Month’s Drinking in Mild-to-Moderate AUD

A yearlong smartphone study shows brief rises in risky choices and reduced evidence sampling predict higher alcohol use, opening the possibility of real-time monitoring.

Overview

  • The study, published Oct. 19–20, 2026, followed 603 people with mostly mild-to-moderate alcohol use disorder for one year using gamified decision tasks each month and alcohol reports every two days.
  • Within-person increases in specific risk-taking on mixed-gamble tasks and drops in information sampling reliably forecasted higher alcohol consumption in the following month.
  • Measures of general cognitive control such as working memory and response inhibition did not predict drinking changes, indicating the signal came from narrow decision-making markers rather than broad executive deficits.
  • Analyses showed the relationship was unidirectional because prior alcohol intake did not predict later deterioration in the tested decision-making measures.
  • Authors and the journal say smartphone-based gamified monitoring could power digital phenotyping and just-in-time support, but they caution clinical use will need replication, randomized trials, and attention to privacy and implementation before being offered to patients.