Evidence map›Paper›PMID 36059269›Full record

ArticleAlcoholism, clinical and experimental research2022

Quantifying heterogeneity in mood-alcohol relationships with idiographic causal models.

Brittany L Stevenson, Erich Kummerfeld, Jennifer E Merrill, Claire Blevins, Ana M Abrantes, Matt G Kushner, Kelvin O Lim

Abstract read
In one paragraph

Article in Alcoholism, clinical and experimental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  4. Article
  5. Common and uncommon risky drinking patterns in young adulthood uncovered by person-specific computational modeling.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2025
    Article
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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

7 authors.

Brittany L StevensonMinneapolis Veterans Affairs, Minneapolis, Minnesota, USA.ORCID 0000-0002-1116-4807
Erich KummerfeldDepartment of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0001-5342-7743
Jennifer E MerrillCenter for Alcohol and Addiction Studies, Brown University.ORCID 0000-0002-8310-140X
Ana M AbrantesDepartment of Psychiatry and Human Behavior, Brown University, Providence, Rhode Island, USA.ORCID 0000-0001-6854-140X
Matt G KushnerDepartment of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0002-8506-2053
Kelvin O LimMinneapolis Veterans Affairs, Minneapolis, Minnesota, USA.ORCID 0000-0002-2390-7268

Funding

Tracking and Evaluation CoreU54GM115677 · NIGMS · BROWN UNIVERSITY · PI SCHMID, CHRISTOPHER H. · 2016 to 2025
$45.0M
University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR002494 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R, WEISDORF, DANIEL J · 2018 to 2022
$34.9M
Comorbidity: Substance Use Disorders and Other Psychiatric ConditionsT32DA037183 · NIDA · UNIVERSITY OF MINNESOTA · PI Anna Zilverstand · 2014 to 2026
$3.2M
Real-Time Evaluations of Alcohol Consequences and Subsequent DrinkingK01AA022938 · NIAAA · BROWN UNIVERSITY · PI MERRILL, JENNIFER ELIZABETH · 2014 to 2018
$904k
NCATS NIH HHS UL1 TR002494NIAAA NIH HHS K01 AA022938NIDA NIH HHS T32 DA037183NIGMS NIH HHS U54 GM115677
6 · The paper itself

Abstract

backgroundEcological momentary assessment (EMA) studies have provided conflicting evidence for the mood regulation tenet that people drink in response to positive and negative moods. The current study examined mood-to-alcohol relationships idiographically to quantify the prevalence and intensity of relationships between positive and negative moods and drinking across individuals.

methodWe used two EMA samples: 96 heavy drinking college students (sample 1) and 19 young adults completing an ecological momentary intervention (EMI) for drinking to cope (sample 2). Mood and alcohol use were measured multiple times per day for 4-6 weeks. Mood-alcohol relationships were examined using three different analytic approaches: standard multilevel modeling, group causal modeling, and idiographic causal modeling.

resultsBoth multilevel modeling and group causal modeling showed that participants in both samples drank in response to positive moods only. However, idiographic causal analyses revealed that only 63% and 21% of subjects (in samples 1 and 2, respectively) drank following any positive mood. Many subjects (24% and 58%) did not drink in response to either positive or negative mood in their daily lives, and very few (5% and 16%) drank in response to negative moods throughout the EMA protocol, despite sample 2 being selected specifically because they endorse drinking to cope with negative mood.

conclusionTraditional group-level analyses and corresponding population-wide theories assume relative homogeneity within populations in mood-alcohol relationships, but this nomothetic approach failed to characterize accurately the relationship between mood and alcohol use in approximately half of the subjects in two samples that were demographically and clinically homogeneous. Given inconsistent findings in the mood-alcohol relationships to date, we conclude that idiographic causal analyses can provide a foundation for more accurate theories of mood and alcohol use. In addition, idiographic causal models may also help improve psychosocial treatments through direct use in clinical settings.

Indexed as

AffectEcological Momentary AssessmentAdaptation, PsychologicalAlcohol DrinkingHumansStudentsYoung Adultalcohol usecasual analysisecological momentary assessmentidiographicmood

Identifiers

PMID36059269
PMCPMC9826275

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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.