Evidence map›Paper›PMID 41673520›Full record

ArticleAlcohol, clinical & experimental research2026

Validation and measurement invariance of the Alcohol-Induced Blackout Measure-2 among noncollege young adults.

Megan Strowger, Mary Beth Miller, Cassandra L Boness, Lily Davidson, Ben Riordan, Rose Marie Ward, Jennifer E Merrill

Abstract readValidation Study
In one paragraph

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Megan StrowgerCenter for Alcohol and Addiction Studies, Brown University School of Public Health, Providence, Rhode Island, USA.ORCID https://orcid.org/0000-0002-8476-5099
Mary Beth MillerDepartment of Psychiatry, University of Missouri, Columbia, Missouri, USA.ORCID https://orcid.org/0000-0003-0624-1414
Cassandra L BonessDepartment of Psychology, University of New Mexico, Albuquerque, New Mexico, USA.
Lily DavidsonMatilda Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0002-2811-0856
Ben RiordanCentre for Alcohol Policy and Research, La Trobe University, Melbourne, Australia.
Rose Marie WardDepartment of Psychology, University of Cincinnati, Cincinnati, Ohio, USA.ORCID https://orcid.org/0000-0001-8154-8163
Jennifer E MerrillCenter for Alcohol and Addiction Studies, Brown University School of Public Health, Providence, Rhode Island, USA.

Funding

ALCOHOL INTERVENTION/TREATMENT OUTCOME RESEARCH TRAININGT32AA007459 · NIAAA · BROWN UNIVERSITY · PI ROBERT MIRANDA, PETER M. MONTI · 1986 to 2026
$13.3M
Measurement and Multimethod Validation of Alcohol Use Disorder Etiologic MechanismsK08AA030301 · NIAAA · UNIVERSITY OF NEW MEXICO · PI Cassandra Lee Boness · 2022 to 2026
$1.1M
A novel social media approach to #identification and #screening for hazardous drinking among diverse non-college young adultsR21AA029749 · NIAAA · BROWN UNIVERSITY · PI MERRILL, JENNIFER ELIZABETH, WARD, ROSE MARIE · 2022 to 2023
$428k
NIAAA NIH HHS K08 AA030301NIAAA NIH HHS K08AA030301NIAAA NIH HHS R21 AA029749NIAAA NIH HHS R21AA029749NIAAA NIH HHS T32 AA007459NIAAA NIH HHS T32AA007459
6 · The paper itself

Abstract

backgroundAlcohol-induced blackouts are associated with heightened risk for alcohol-related consequences among young adults. However, to date, the only validated measure of blackouts (the Alcohol-Induced Blackout Measure-2 or ABOM-2) has only been studied in a college student sample. To ensure blackout measures are valid for use across young adult populations, this study evaluated the structural validity, convergent validity, and measurement invariance of the ABOM-2 among noncollege young adults.

methodsYoung adults aged 18-29 years (N = 610; 50.5% female; 42.1% white; 43.9% Black; 32.8% Hispanic) who were not enrolled in and never completed a 4-year college degree participated in an online survey. The survey assessed hazardous alcohol use, negative alcohol consequences, blackouts, and intentions/willingness to blackout.

resultsConfirmatory factor analyses supported the correlated two-factor (fragmentary and en bloc blackouts) structure of the ABOM-2, demonstrating excellent model fit (CFI/TLI = 0.997/0.995, RMSEA = 0.068) and high factor loadings (>0.87). ABOM-2 subscales had strong associations with hazardous alcohol use and consequences (rs = 0.59-0.66) and moderate associations with intentions/willingness to blackout (rs = 0.32-0.48). The en bloc subscale was significantly associated with both hazardous alcohol use and consequences, while the fragmentary subscale was only associated with consequences. The ABOM-2 demonstrated configural, metric, and scalar invariance across sex (female and male), with minimal decrements in fit with additional model constraints. Subscale latent means across sex were not significantly different.

conclusionsFindings support the validity of the ABOM-2 in research contexts when a detailed assessment of blackout experiences is necessary. Our results showing the ABOM-2 is valid among young adult males and females who did not complete 4-year college support use of this measure outside of research conducted only among those in college. Future work should evaluate measurement invariance longitudinally and across additional identities (e.g., racial and ethnic identities).

Indexed as

Alcohol DrinkingAdolescentAdultFactor Analysis, StatisticalFemaleHumansMaleReproducibility of ResultsSurveys and QuestionnairesYoung Adultalcohol‐related consequencesalcohol useblackoutmeasurementyoung adults

Identifiers

PMID41673520
PMCPMC13019650

What OpenQuestion holds

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Registered trials

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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.