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Increased risk-taking behavior precedes higher alcohol consumption, study finds (opens in a new tab)

news-medical.net · 2026-10-19

Short answerEvidenceSource

Short answer

Mixed

Mixed.

One claim goes further than the study. One other point was not covered by the paper.

  • 4 supported
  • 1 overstated
  • 1 not covered

Checked against the study summary. The full text wasn't available, so some details couldn't be settled either way.

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Follow the evidence trail
1
2

NewsLink checks it

Mixed

One claim overstates the study. Four of six check out. One claim the study doesn't address.

  • 4 supported
  • 1 overstated
  • 1 not covered
Open claim evidence
3
Then inspect each claim

Evidence layer

Claim by claim

Each claim gets a verdict. Expand it to see the evidence directly below.

6 claims in this story

Showing all 6 claimsChoose a verdict to focus the list.

Claim 1 of 6OverstatedA novel study found that increases in risk-taking behavior in people with mild to moderate alcohol use disorder precede increases in alcohol consumption, not vice versa.View evidenceHide evidence

Why this verdict

The abstract-level profile supports temporal precedence for specific decision-making measures: higher risk-taking in a mixed gambling context and lower risk-taking in a loss context predicted higher subsequent monthly drinking, and the reverse direction was not observed. But the study is observational, so an unhedged causal-strength headline claim goes beyond the evidence. The headline also simplifies the context-specific result by implying general increases in risk-taking, whereas one supported predictor was decreased risk-taking in a loss context and risk-taking in a win context was null.

1

Study evidence

Monthly within-person increases in risk-taking in a mixed gambling context predicted higher alcohol consumption in the subsequent month.

“a 1-year longitudinal ecological momentary assessment study of 603 participants”
2

Study evidence

Reverse temporal direction (drinking fluctuations predicting subsequent changes in task-derived decision-making/cognitive-control measures) was not observed.

“This temporal direction-that within-subject fluctuations in task outcomes preceded changes in monthly drinking-was specific, was not observed vice versa”
Claim 2 of 6Not coveredThe research is described as the first to predict changes in real-life drinking longitudinally using gamified smartphone-based decision-making tasks.View evidenceHide evidence

Why this verdict

The abstract-level profile supports that the study used gamified smartphone-based decision-making tasks to longitudinally predict real-life drinking changes. However, the priority claim that it is the 'first' to do so is not established in the supplied abstract-depth profile.

1

Study evidence

Monthly within-person increases in risk-taking in a mixed gambling context predicted higher alcohol consumption in the subsequent month.

“a 1-year longitudinal ecological momentary assessment study of 603 participants”
Claim 3 of 6SupportedThe investigators conducted a unique one-year longitudinal study in individuals with mostly mild to moderate AUD, using smartphone-based assessments and gamified experiments to track drinking behavior, cognitive control, and decision making.View evidenceHide evidence

As statedone-year

Why this verdict

The profile describes a 1-year longitudinal EMA study of 603 participants with mostly mild-to-moderate AUD, using monthly smartphone-based gamified decision-making and cognitive-control tasks plus every-2-day self-reported drinking. The claim accurately captures the design and measured domains, aside from the rhetorical word 'unique,' which is not independently demonstrated at abstract depth.

1

Study evidence

Monthly within-person increases in risk-taking in a mixed gambling context predicted higher alcohol consumption in the subsequent month.

“a 1-year longitudinal ecological momentary assessment study of 603 participants”
2

Study evidence

Within-person monthly fluctuations in cognitive control (working memory and response inhibition) did not predict subsequent monthly alcohol consumption in this 1-year EMA cohort of mostly mild-to-moderate AUD.

“Tasks measured cognitive control (working memory, response inhibition)”
Claim 4 of 6SupportedMonthly fluctuations in decision making predicted subsequent alcohol consumption; participants shifted to higher monthly alcohol consumption when risk-taking was higher in a mixed gambling context and lower in a loss context in the preceding month.View evidenceHide evidence

As statedmonthly fluctuations

Why this verdict

This matches the reported abstract-level findings: monthly fluctuations in decision-making measures predicted subsequent monthly alcohol consumption, with higher risk-taking in a mixed gambling context and lower risk-taking in a loss context predicting higher drinking in the following month.

1

Study evidence

Monthly within-person increases in risk-taking in a mixed gambling context predicted higher alcohol consumption in the subsequent month.

“a 1-year longitudinal ecological momentary assessment study of 603 participants”
Claim 5 of 6SupportedWhen information sampling biases decreased, participants consumed more alcohol in the subsequent month.View evidenceHide evidence

As statedsubsequent month

Why this verdict

The profile specifically reports that decreases in information sampling biases in one month predicted higher alcohol consumption in the following month.

1

Study evidence

Monthly within-person increases in risk-taking in a mixed gambling context predicted higher alcohol consumption in the subsequent month.

“a 1-year longitudinal ecological momentary assessment study of 603 participants”
Claim 6 of 6SupportedThe temporal direction was said to be specific and not observed vice versa, even after accounting for previous drinking, while fluctuations in self-control and reward-driven behavior were not associated with fluctuations in drinking.View evidenceHide evidence

Why this verdict

The supplied profile reports that the task-to-drinking temporal direction was specific, was not observed in reverse, and survived correction for autocorrelation in drinking. It also reports null associations for cognitive-control fluctuations and risk-taking in a win context, corresponding to the story’s statement about self-control and reward-driven behavior not being associated with drinking fluctuations.

1

Study evidence

Within-person monthly fluctuations in cognitive control (working memory and response inhibition) did not predict subsequent monthly alcohol consumption in this 1-year EMA cohort of mostly mild-to-moderate AUD.

“Tasks measured cognitive control (working memory, response inhibition)”
2

Study evidence

Reverse temporal direction (drinking fluctuations predicting subsequent changes in task-derived decision-making/cognitive-control measures) was not observed.

“This temporal direction-that within-subject fluctuations in task outcomes preceded changes in monthly drinking-was specific, was not observed vice versa”
Then look for missing context

Context layer

What the story left out

Important study details the story did not include.

  • The central positive evidence is associational temporal prediction, not experimental causation.

    The profile identifies an observational repeated-measures design with lagged associations. The story’s caveats mention no immediate treatment implications, but they do not clearly acknowledge that temporal precedence in an observational study does not establish causality; the headline claim is framed more causally than the evidence warrants.

    From 1-year longitudinal EMA with monthly tasks and near-daily drinking reports (observational repeated-measures); Bidirectio

  • Limitations include self-reported drinking, monthly task measurement cadence that may miss shorter-term dynamics, and limited generalizability beyond mostly mild-to-moderate AUD.

    The story notes the mostly mild-to-moderate sample but does not present this as a generalizability limitation, and it does not acknowledge self-reported drinking or monthly task cadence as limitations that could affect interpretation.

    From 1-year longitudinal ecological momentary assessment (EMA) with monthly cognitive tasks and every-2-day drinking reports;

6 things the story did carry across
  • The study was a 1-year longitudinal EMA cohort of 603 participants with mostly mild-to-moderate AUD, using monthly smartphone-based gamified tasks and frequent self-reported drinking reports.
  • Risk-taking findings were context-specific: higher risk-taking in a mixed gambling context and lower risk-taking in a loss context predicted higher subsequent drinking; risk-taking in a win context did not.
  • Decreases in information sampling biases predicted higher alcohol consumption in the subsequent month.
  • Fluctuations in cognitive-control measures, including working memory and response inhibition, were not associated with subsequent drinking fluctuations.
  • The reverse temporal direction was not observed, and task-to-drinking associations survived correction for autocorrelation in drinking and multiple comparisons.
  • Potential future use is identifying high-risk periods for timely, mechanism-based interventions rather than immediate clinical application.
Then read the study layer

Study layer

Study at a glance

Scan the study first. Expand only the parts you want to inspect.

Pieces of work

3

Evidence read

study summary

Lead result

human in vivo

1Lead resulthuman in vivoTest temporal directionality between within-person fluctuations in smartphone-based gamified decision-making measures and subsequent changes in real-life alcohol consumption over 1 year in people with alcohol use disorder (AUD).1-year longitudinal EMA with monthly tasks and near-daily drinking reports (observational repeated-measures)Expand

In plain English

In a 1-year longitudinal ecological momentary assessment of 603 people with mostly mild-to-moderate AUD, monthly within-person fluctuations on smartphone-based gamified decision-making tasks (risk-taking across contexts; information sampling biases) predicted subsequent monthly alcohol consumption. These lagged, within-subject associations were specific to certain decision-making contexts, were not observed in the reverse direction, and remained after correcting for autocorrelation in drinking and multiple comparisons. Measures of cognitive control and risk-taking in a win context did not predict drinking fluctuations.

Key findings

  • Monthly within-person increases in risk-taking in a mixed gambling context predicted higher alcohol consumption in the subsequent month.
  • Monthly within-person decreases in risk-taking in a loss context predicted higher alcohol consumption in the subsequent month.
“a 1-year longitudinal ecological momentary assessment study of 603 participants”
What this piece can’t prove

1 further detail could not be confirmed from the summary.

2human in vivoTest temporal directionality between within-person fluctuations in smartphone-based gamified cognitive control measures (working memory, response inhibition) and subsequent changes in real-life alcohol consumption over 1 year in AUD.1-year longitudinal ecological momentary assessment (EMA) with monthly cognitive tasks and every-2-day drinking reportsExpand

In plain English

In a 1-year longitudinal EMA of 603 participants (mostly mild-to-moderate AUD), within-person monthly fluctuations in cognitive control (working memory and response inhibition) measured via smartphone gamified tasks were not associated with subsequent monthly alcohol consumption; a null association for cognitive-control fluctuation predicting drinking was reported.

Key findings

  • Within-person monthly fluctuations in cognitive control (working memory and response inhibition) did not predict subsequent monthly alcohol consumption in this 1-year EMA cohort of mostly mild-to-moderate AUD.
“Tasks measured cognitive control (working memory, response inhibition)”
What this piece can’t prove
  • Sample characterized as mostly mild-to-moderate AUD (limits generalizability to severe AUD).
  • Cognitive-control measurements were monthly while drinking reports were aggregated monthly from every-2-day entries—temporal resolution may miss shorter-term dynamics.
  • Outcome based on self-reported drinking (every-2-day EMA) as described in abstract.
  • Observational longitudinal design; temporal prediction was tested with lagged models but does not establish definitive causality.
3human in vivoEvaluate whether reverse temporal direction holds (i.e., drinking fluctuations precede subsequent changes in task-derived decision-making/cognitive-control measures), and whether observed associations are robust to autocorrelation correction.Bidirectional lagged longitudinal models; autocorrelation-corrected time-series sensitivity analysesExpand

In plain English

Within the 1-year EMA study of 603 participants with mostly mild-to-moderate AUD, the authors tested reverse temporal directionality (whether fluctuations in drinking predict subsequent changes in task-derived decision-making/cognitive-control measures) and the robustness of task→drinking associations to autocorrelation in drinking. They report that reverse (drinking→task) effects were not observed and that the task→drinking temporal associations survived correction for autocorrelation in drinking.

Key findings

  • Reverse temporal direction (drinking fluctuations predicting subsequent changes in task-derived decision-making/cognitive-control measures) was not observed.
  • Task→drinking temporal associations (specific decision-making fluctuations predicting subsequent monthly alcohol consumption) remained after adjusting for autocorrelation in drinking.
“This temporal direction-that within-subject fluctuations in task outcomes preceded changes in monthly drinking-was specific, was not observed vice versa”
What this piece can’t prove
  • Abstract does not provide details on the statistical implementation of autocorrelation correction or full model specifications for the reverse-direction tests.
  • Monthly task measurement cadence may limit detection of some temporal dynamics; abstract does not report sensitivity analyses varying lag length or sampling frequency.

1 further detail could not be confirmed from the summary.

Finally, the search trail

Method layer

NewsLink found the paper. Tessa takes you deeper.

NewsLink checks the story. Tessa is where you inspect the paper, authors, evidence, and research context.

Open the paper in Tessa

Fluctuations in Real-Life Drinking in Alcohol Use Disorder: A 1-Year Longitudinal Study Using Gamified Tasks of Decision Making and Cognitive Control

Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026

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Why this one

Near certain

NewsLink found the paper. Tessa is where you inspect it deeply.

Papers considered

The selected paper, plus nearby candidates.

PubMed, Europe PMC, Crossref · 20 candidate papers

Selected

Fluctuations in Real-Life Drinking in Alcohol Use Disorder: A 1-Year Longitudinal Study Using Gamified Tasks of Decision Making and Cognitive Control

Biological Psychiatry. Cognitive Neuroscience and Neuroimaging · 2026 · PubMed, Europe PMC, Crossref

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And 14 more candidates considered.