Evidence map›Paper›PMID 41396506›Full record

ArticlePsychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors2025

Common and unique latent transition analysis (CULTA) as a way to examine the trait-state dynamics of alcohol intoxication.

Ivan Jacob Agaloos Pesigan, Michael A Russell, Sy-Miin Chow

Abstract read
In one paragraph

Article in Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors, 2025. 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

3 authors.

Ivan Jacob Agaloos PesiganThe Pennsylvania State University, College of Health and Human Development, Edna Bennett Pierce Prevention Research Center.ORCID 0000-0003-4818-8420
Michael A RussellThe Pennsylvania State University, College of Health and Human Development, Edna Bennett Pierce Prevention Research Center.ORCID 0000-0002-3956-604X
Sy-Miin ChowThe Pennsylvania State University, Department of Human Development and Family Studies.ORCID 0000-0003-1938-027X

Funding

Penn State Clinical and Translational Science InstituteUL1TR002014 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI KRASCHNEWSKI, JENNIFER L. · 2016 to 2025
$33.7M
Pilot, Mentoring, and Professional Development CoreP50DA039838 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI COLLINS, LINDA M · 2015 to 2019
$13.9M
PREVENTION AND METHODOLOGY TRAINING (PAMT)T32DA017629 · NIDA · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI Eric D Claus, Rina D Eiden · 2005 to 2026
$9.5M
National Institutes of Health; National Institute on Drug AbuseNCATS NIH HHS UL1 TR002014NIDA NIH HHS P50 DA039838NIDA NIH HHS T32 DA017629Penn State; Social Science Research Institute
6 · The paper itself

Abstract

objectiveThis article introduces the common and unique latent transition analysis (CULTA), a novel approach to studying alcohol intoxication dynamics in young adults engaged in heavy episodic drinking. CULTA merges the common and unique trait-state model with latent transition analysis to separate stable, traitlike intoxication components from transient fluctuations while modeling transitions between distinct drinking profiles.

methodA sample of 222 young adults wore transdermal alcohol concentration sensors for 6 days, capturing real-time alcohol levels. The CULTA model decomposed intoxication variability into common and unique influences across four transdermal alcohol concentration features-peak, rise rate, fall rate, and duration. Latent intoxication profiles were identified, and transition probabilities between profiles were estimated with a focus on the influence of alcohol use disorder risk measured by the Alcohol Use Disorders Identification Test.

resultsTwo latent intoxication profiles emerged. The first, chronic heavy episodic drinking, was characterized by persistently high intoxication without significant inertia, while the second, inertia-driven drinking, featured moderate episodic intoxication with a strong autoregressive effect, reflecting lingering intoxication that dissipates over time. Individuals with higher Alcohol Use Disorders Identification Test scores were more likely to remain in or transition to the chronic heavy episodic drinking profile. Although peak intoxication and rise rate showed limited individual variability, fall rate and duration varied substantially, marking them as potential targets for intervention.

conclusionsCULTA advances our understanding of alcohol intoxication by distinguishing stable from transient influences and modeling transitions between drinking states. These findings suggest that interventions should address both persistent and situational aspects of intoxication-especially by reducing duration and fall rate-and encourage research across longer periods and populations. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

Indexed as

Alcoholic IntoxicationBinge DrinkingEthanolAdolescentAdultFemaleHumansMaleYoung AdultEthanol

Identifiers

PMID41396506
PMCPMC12707183

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.