Evidence map›Paper›PMID 37172448›Full record

ArticleDrug and alcohol dependence2023

A latent profile analysis of blackout drinking behavior among young adults.

Ashley N Linden-Carmichael, Shou-Chun Chiang, Sara E Miller, Jacqueline Mogle

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2023. 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
0.6field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

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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 2 institutions in 1 country.

Ashley N Linden-CarmichaelEdna Bennett Pierce Prevention Research Center, The Pennsylvania State University, United States. Electronic address: ALindenCarmichael@psu.edu.
Shou-Chun ChiangDepartment of Human Development and Family Studies, The Pennsylvania State University, United States.
Sara E MillerDepartment of Human Development and Family Studies, The Pennsylvania State University, United States.
Jacqueline MogleDepartment of Psychology, Clemson University, United States.
Pennsylvania State University · USClemson University · US

Funding

Psychosocial Determinants and Biological Pathway to Healthy Aging (Pathways)T32AG049676 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LYNN M. MARTIRE · 2016 to 2026
$3.9M
Improving assessment of subjective memory impairment for detecting Alzheimer's disease: A coordinated analysis in two measurement burst studiesR01AG062605 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI MOGLE, JACQUELINE · 2019 to 2022
$1.6M
Simultaneous Alcohol and Marijuana Use: Momentary Influences and ConsequencesK01AA026854 · NIAAA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LINDEN-CARMICHAEL, ASHLEY NICOLE · 2019 to 2023
$826k
NIAAA NIH HHS K01 AA026854NIA NIH HHS R01 AG062605NIA NIH HHS T32 AG049676
6 · The paper itself

Abstract

backgroundBlackout drinking, or alcohol-induced memory loss during a drinking occasion, is associated with additional negative alcohol-related outcomes. Brief motivational interventions targeting higher-risk alcohol use behavior have largely ignored blackout drinking. Including personalized information on blackout drinking could maximize intervention impact. To move toward incorporating content on blackout drinking in prevention and intervention materials, it is imperative to understand individual-level differences in blackout drinking. The current study aimed to identify latent profiles of young adults based on blackout drinking experiences and to examine person-level predictors and outcomes associated with profile membership.

methodParticipants were 542 young adults (ages 18-30) who reported 1+ past-year blackout episodes. Fifty-three percent of participants were female and 64% identified as non-Hispanic/Latinx white.

resultsFour latent profiles were identified based on blackout drinking frequency, blackout intentions, blackout expectancies, and age of first blackout: Low-Risk Blackout (35% of the sample), Experimental Blackout (23%), At-Risk Blackout (16%), and High-Risk Blackout (26%). Profiles varied by demographic, personality, and cognition- and alcohol-related behaviors. Notably, At-Risk and High-Risk Blackout profiles had the highest alcohol use disorder risk, most memory lapses and cognitive concerns, and highest levels of impulsivity traits.

conclusionsFindings support the multifaceted nature of blackout drinking experiences and perceptions. Profiles were differentiated across person-level predictors and outcomes, which identify potential intervention targets and individuals at heightened alcohol-related risk. A more comprehensive understanding of the heterogeneity of blackout drinking characteristics may be useful for early detection and intervention of problematic alcohol use predictors and patterns among young adults.

Indexed as

Alcohol DrinkingAlcoholismEthanolFemaleHealth BehaviorHumansMaleMemory DisordersYoung AdultEthanolBlackout drinkingExpectanciesImpulsivityIntentionsLatent profile analyses

Identifiers

PMID37172448
PMCPMC10330532
OpenAlexW4367692588

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.