Evidence map›Paper›PMID 38190198›Full record

ArticlePsychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors2024

Associations between day-level affect profiles and same-day substance use among young adults.

Natalia Van Doren, Bethany C Bray, José A Soto, Ashley N Linden-Carmichael

Open access · hybridAbstract read
In one paragraph

Article in Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Alcohol and emotion: Analyzing convergence between facially expressed and self-reported indices of emotion under alcohol intoxication.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2025
    Article
  3. Article
  4. Article
  5. Recovery capital profiles among a heterogeneous sample of individuals in recovery from alcohol problems.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2024
    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

4 authors at 3 institutions in 2 countries.

Natalia Van DorenDepartment of Psychiatry and Behavioral Sciences, University of California.ORCID 0000-0001-6044-7208
Bethany C BrayInstitute for Health Research and Policy, University of Illinois Chicago.ORCID 0000-0001-8627-3939
José A SotoDepartment of Psychology, Pennsylvania State University.ORCID 0000-0002-7567-2368
Ashley N Linden-CarmichaelEdna Bennett Pierce Prevention Research Center, College of Health and Human Development, Pennsylvania State University.ORCID 0000-0001-8187-6538
Health and Human Development (2HD) Research Network · CMPennsylvania State University · USUniversity of Illinois Chicago · US

Funding

Pilot, Mentoring, and Professional Development CoreP50DA039838 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI BRAY, BETHANY C. · 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
Substance Use Disorders Treatment/Services Research Training ProgramT32DA007250 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Derek D Satre, Janice Y Tsoh · 1991 to 2026
$7.4M
Promoting Rapid Uptake of Multilevel Latent Class Modeling via Best Practices: Investigating Heterogeneity in Daily Substance Use PatternsR01DA057588 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI STEPHANIE T LANZA · 2023 to 2026
$2.7M
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 AA026854NIDA NIH HHS P50 DA039838NIDA NIH HHS R01 DA057588NIDA NIH HHS T32 DA007250NIDA NIH HHS T32 DA017629
6 · The paper itself

Abstract

objectiveEmotions play a critical role in health risk behaviors, including substance use. However, current research often focuses exclusively on average levels of positive and negative affect, neglecting the complexity of daily emotional patterns. By capturing multiple dimensions of affect, including arousal and discrete states, we can improve our understanding of proximal predictors of substance use. The present study demonstrates the utility of a novel methodological approach for assessing affect patterns in daily life in relation to alcohol and cannabis use.

methodDaily diary data from

resultsResults revealed five distinct day-level profiles of affect: undifferentiated negative affect days, undifferentiated positive affect days, high-arousal positive affect days, mixed affect days, and low reactivity days. Undifferentiated positive affect days, high-arousal positive affect days, and low reactivity days were associated with significantly greater odds of same-day alcohol use compared to days characterized by undifferentiated negative affect (χ² = 10.55,

conclusionsFindings suggest that daily affect patterns differentially impact alcohol use and can inform the development of interventions for problematic substance use. Additionally, the innovative methodological approach employed herein could be applicable for investigating the role of emotion in other health behaviors. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Indexed as

AffectAdolescentAdultAlcohol DrinkingBinge DrinkingFemaleHumansMaleMarijuana UseSubstance-Related DisordersYoung Adult

Identifiers

PMID38190198
PMCPMC11262887
OpenAlexW4390673341

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.