Evidence map›Paper›PMID 42477778›Full record

ArticleAlcohol, clinical & experimental research2026

Alcohol-Induced Blackouts and Subsequent Drinking Trajectories: Evidence From Three Longitudinal Samples.

Angelo M DiBello, Mary Beth Miller, Kate B Carey, Clayton Neighbors

Abstract read
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Article in Alcohol, clinical & experimental research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Angelo M DiBelloCenter for Alcohol and Substance Use Studies & Department of Graduate and Applied Professional Psychology, Rutgers University, Piscataway, New Jersey, USA.ORCID https://orcid.org/0000-0003-4519-805X
Mary Beth MillerDepartment of Psychiatry, University of Missouri-Columbia, Columbia, Missouri, USA.ORCID https://orcid.org/0000-0003-0624-1414
Kate B CareyDepartment of Behavioral and Social Sciences, Brown University School of Public Health, Providence, Rhode Island, USA.ORCID https://orcid.org/0000-0001-7969-716X
Clayton NeighborsDepartment of Psychology, University of Houston, Houston, Texas, USA.ORCID https://orcid.org/0000-0002-9327-5278

Funding

Using Counter Attitudinal Advocacy to Change Drinking BehaviorR01AA025043 · NIAAA · BROWN UNIVERSITY · PI CAREY, KATE B, DIBELLO, ANGELO MICHAEL · 2018 to 2021
$1.9M
Enhancing the Efficacy and Duration of a Brief Alcohol Intervention Using Self-AffirmationR01AA025643 · NIAAA · BROWN UNIVERSITY · PI CAREY, KATE B · 2017 to 2021
$1.8M
NIAAA NIH HHS R01AA025043NIAAA NIH HHS R01AA025643
6 · The paper itself

Abstract

backgroundAlcohol-induced blackouts are widely recognized as markers of acute intoxication and elevated risk for alcohol-related harm. Blackout experiences may also represent psychologically salient events capable of influencing subsequent drinking behavior. The present study examined whether recent blackout predicts changes in alcohol use, alcohol-related consequences, and blackouts over time.

methodData were drawn from three independent longitudinal samples of college student drinkers (Ns = 568, 484, and 200). Generalized linear mixed models with negative binomial distributions were used to evaluate whether baseline blackout status predicted follow-up drinks per week, alcohol-related consequences, and subsequent blackouts over 12 months of follow-up, controlling for baseline drinking and consequences, age, sex, intervention condition, and time.

resultsAcross samples, baseline blackout was not associated with increases in subsequent alcohol use. In one sample, blackout predicted lower follow-up drinking, and in two of three samples, blackout predicted significantly lower rates of alcohol-related consequences over time (i.e., a 21%-40% reduction in consequences among those who experienced a blackout across follow-ups). Conversely, baseline blackout was associated with increased odds of subsequent blackout across all samples. These associations were found after adjusting for baseline alcohol-related consequences and concurrent drinking.

conclusionBlackouts may function not only as a marker of high-risk drinking but also as a potential turning point associated with reductions in alcohol-related harm. At the same time, effects were not uniform across samples. Results underscore the importance of assessing blackout in research and clinical settings, and they highlight its potential dual role as both a risk indicator and a catalyst for behavioral change.

Indexed as

Alcohol DrinkingAlcohol Drinking in CollegeAlcoholic IntoxicationAmnesiaAdolescentFemaleHumansLongitudinal StudiesMaleStudentsUniversitiesYoung Adultalcoholalcohol‐induced amnesiaalcohol‐related consequencesblackout

Identifiers

PMID42477778
PMCPMC13385469

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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.