Evidence map›Paper›PMID 39985485›Full record

ArticleAlcohol, clinical & experimental research2025

Greater alcohol intake predicts accelerated brain aging in humans, which mediates the relationship between alcohol intake and behavioral inflexibility.

Jillian T Battista, Elena Vidrascu, Madeline M Robertson, Donita L Robinson, Charlotte A Boettiger

Abstract read
In one paragraph

Article in Alcohol, clinical & experimental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Accelerated brain aging in alcohol users: Insights from machine learning.Alcohol, clinical & experimental research · 2025
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jillian T BattistaDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0001-9572-6493
Elena VidrascuDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Madeline M RobertsonDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Donita L RobinsonBowles Center for Alcohol Studies, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0001-7540-3363
Charlotte A BoettigerDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0003-1853-1574

Funding

UNC ARC Information/Dissemination CoreP60AA011605 · NIAAA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Clyde W Hodge · 2003 to 2026
$46.3M
Training on Research in Drug AbuseT32DA007244 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Regina M Carelli · 1990 to 2026
$7.6M
Excitatory/Inhibitory Balance and Behavioral Flexibility in Adults with a History of Adolescent Binge DrinkingF31AA028427 · NIAAA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROBERTSON, MADELINE MAE · 2020 to 2022
$115k
NIAAA NIH HHS F31 AA028427NIAAA NIH HHS F31AA028427NIAAA NIH HHS P60 AA011605NIAAA NIH HHS P60AA011605NIDA NIH HHS T32 DA007244NIDA NIH HHS T32DA007244University of North Carolina at Chapel Hill
6 · The paper itself

Abstract

backgroundHazardous use of alcohol is associated with cognitive-behavioral impairments and accelerated aging. To date, however, accelerated brain aging has not been tested as a mediating factor between alcohol use and associated task-based behavioral deficits, such as behavioral inflexibility. Here, we evaluated hazardous alcohol use as a predictor of machine learning-derived brain aging and tested if this measure accounted for the relationship between hazardous alcohol use and a task-based measure of behavioral flexibility.

methodsIn this secondary analysis, we applied brainageR, a machine learning algorithm, to anatomical T1-weighted magnetic resonance imaging (MRI) images to estimate brain age for a sample of healthy adults (ages 22-40) who self-reported alcohol use with the alcohol use disorder identification test (AUDIT) and performed the hidden association between images task (HABIT), a behavioral flexibility task. Behavioral inflexibility was quantified as the proportion of perseverative errors performed on the HABIT as a measure of habitual action selection. We then analyzed AUDIT score as a predictor of brain aging, and brain aging as a predictor of behavioral inflexibility. Lastly, we conducted a mediation analysis to evaluate brain aging as a mediator between alcohol use and behavioral inflexibility.

resultsControlling for chronological age and sex, a higher AUDIT score predicted significantly more accelerated brain aging, which was further associated with more perseverative errors on the HABIT. Moreover, brain aging significantly mediated the association between AUDIT scores and behavioral inflexibility.

conclusionsOur findings demonstrate that alcohol use is a significant predictor of accelerated brain aging, even in young adulthood. In addition, our findings suggest that such brain changes may mechanistically link more hazardous alcohol use to impaired behavioral flexibility. Future studies should also explore factors, such as other lifestyle behaviors, that may mitigate alcohol- and age-related processes.

Indexed as

AgingAlcohol DrinkingBrainAdultFemaleHumansMachine LearningMagnetic Resonance ImagingMaleYoung Adultalcohol misusebehavioral flexibilitybrain agingmachine learningMRI

Identifiers

PMID39985485
PMCPMC11928243

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.