Evidence map›Paper›PMID 31442787›Full record

ArticleAddictive behaviors2019

Development and initial validation of the alcohol-induced blackout measure.

Mary Beth Miller, Angelo M DiBello, Jennifer E Merrill, Kate B Carey

Open access · greenAbstract readValidation Study
In one paragraph

Article in Addictive behaviors, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% of its field
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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

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  10. Associations between posting about alcohol on social networking sites and alcohol-induced blackouts in a sample of young adults not in 4-year college.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2025
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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

4 authors at 1 institution in 1 country.

Mary Beth MillerDepartment of Psychiatry, University of Missouri School of Medicine, 1 Hospital Dr DC067.00, Columbia, MO 65212, USA; Center for Alcohol and Addiction Studies, Department of Behavioral and Social Sciences, Brown University School of Public Health, Box G-S121-5, Providence, RI 02912, USA. Electronic address: millmary@health.missouri.edu.
Angelo M DiBelloCenter for Alcohol and Addiction Studies, Department of Behavioral and Social Sciences, Brown University School of Public Health, Box G-S121-5, Providence, RI 02912, USA.
Jennifer E MerrillCenter for Alcohol and Addiction Studies, Department of Behavioral and Social Sciences, Brown University School of Public Health, Box G-S121-5, Providence, RI 02912, USA.
Kate B CareyCenter for Alcohol and Addiction Studies, Department of Behavioral and Social Sciences, Brown University School of Public Health, Box G-S121-5, Providence, RI 02912, USA.
Brown University · US

Funding

Real-Time Evaluations of Alcohol Consequences and Subsequent DrinkingK01AA022938 · NIAAA · BROWN UNIVERSITY · PI MERRILL, JENNIFER ELIZABETH · 2014 to 2018
$904k
The Impact of Insomnia Treatment on Heavy Alcohol Use among Returning VeteransK23AA026895 · NIAAA · UNIVERSITY OF MISSOURI-COLUMBIA · PI MILLER, MARY ELIZABETH · 2019 to 2023
$896k
NIAAA NIH HHS K01 AA022938NIAAA NIH HHS K23 AA026895
6 · The paper itself

Abstract

backgroundBlackouts are common among young adults and predict alcohol-related harm. However, existing measures do not capture the range of alcohol-induced memory impairment involved in blackout experiences and do not differentiate between fragmentary and en bloc blackouts. This study aimed to develop and validate a brief, reliable measure of alcohol-induced blackouts among young adults.

methodsCollege students reporting alcohol-induced memory impairment in the past year were recruited via Qualtrics to participate in an online survey (N = 350, 56% female). A subsample (n = 109, 67% female) completed a one-month follow-up. Principal component analysis was used to determine the structure of the Alcohol-Induced Blackout Measure (ABOM), which was designed to reflect two components (fragmentary and en bloc blackouts). The reliability and validity of the total ABOM score was assessed.

resultsThe final five items fit in a two-component scale structure; however, a single principal component accounted for 73% of variance in blackout items, all of which demonstrated high component loadings and communalities. The total blackout score demonstrated strong internal consistency, test-retest reliability, and convergent and incremental validity. ABOM scores predicted alcohol-related consequences at baseline and one-month follow-up.

conclusionsThe ABOM is a brief and reliable, self-report measure that quantifies the frequency of a range of blackout experiences in the past 30 days. Accounting for this range of experiences improved predictive validity over single-item blackout measures. Blackout frequency is a strong, unique predictor of alcohol-related problems.

Indexed as

AdolescentAdultAlcohol-Induced DisordersAmnesia, AnterogradeCentral Nervous System DepressantsEthanolFemaleHumansMaleMemory DisordersPrincipal Component AnalysisReproducibility of ResultsSelf ReportStudentsSurveys and QuestionnairesUniversitiesCentral Nervous System DepressantsEthanolAlcoholAmnesiaCollege studentsDrinkingYoung adults

Identifiers

PMID31442787
PMCPMC6791777
OpenAlexW2966411619

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.