Evidence map›Paper›PMID 34716891›Full record

ArticlePrevention science : the official journal of the Society for Prevention Research2022

Stress and Affect as Daily Risk Factors for Substance Use Patterns: an Application of Latent Class Analysis for Daily Diary Data.

Ashley N Linden-Carmichael, Natalia Van Doren, Bethany C Bray, Kristina M Jackson, Stephanie T Lanza

Open access · greenAbstract read
In one paragraph

Article in Prevention science : the official journal of the Society for Prevention Research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

28 citing papers in PubMed, 26 citations in OpenAlex.

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  4. Day-level latent classes of alcohol and cannabis use motives: Associations by combined use, level of use, and consequences.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2026
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  13. Early-day psychosocial predictors of later-day simultaneous alcohol and cannabis use among college-attending young adults.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2025
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  18. Associations between day-level affect profiles and same-day substance use among young adults.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2024
    Article
  19. Article
  20. Are you thinking what I'm thinking? Defining what we mean by "polysubstance use."The American journal of drug and alcohol abuse · 2024
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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

5 authors at 3 institutions in 1 country.

Ashley N Linden-CarmichaelThe Edna Bennett Pierce Prevention Research Center, College of Health and Human Development, The Pennsylvania State University, 320E Biobehavioral Health Building, University Park, PA, 16802, USA. ALindenCarmichael@psu.edu.ORCID 0000-0001-8187-6538
Natalia Van DorenThe Pennsylvania State University, University Park, PA, USA.
Bethany C BrayUniversity of Illinois at Chicago, Chicago, IL, USA.
Kristina M JacksonBrown University, Providence, RI, USA.
Stephanie T LanzaThe Edna Bennett Pierce Prevention Research Center, College of Health and Human Development, The Pennsylvania State University, 320E Biobehavioral Health Building, University Park, PA, 16802, USA.
Pennsylvania State University · USBrown University · USUniversity of Illinois Chicago · US

Funding

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
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 T32 DA017629
6 · The paper itself

Abstract

At the population level, use of multiple substances (or "co-use") is prevalent in young adulthood and linked with increased risk for experiencing substance-related harms. Less understood is the heterogeneity of substance use behaviors within individuals and across days, as well as the proximal predictors of these daily use patterns. The present study applied latent class analysis to daily diary data to identify daily substance use patterns and compare day-level class membership based on day-level stress and positive and negative affect among a higher-risk sample of young adult substance users. Participants (n = 152) completed up to 13 daily assessments of stress, affect, and substance use behavior. Among substance use days, five classes of days were identified: cannabis (some alcohol; 43% of days), alcohol-only (26%), vaping (some alcohol, cannabis; 24%), stimulant + alcohol (some cannabis, vaping; 4%), and cigarette-only (3%) days. Days with lower levels of perceived stress were significantly more likely to be alcohol-only Days relative to being days characterized by cigarette use, cannabis use, or multiple drug combinations. Days with higher levels of stress and negative affect were more likely to be cigarette-only days relative to cannabis and vaping days. Study findings document the wide range of substance use and co-use behaviors exhibited among young adults in daily life and highlight the importance of considering risk factors that correspond to days of problematic use patterns.

Indexed as

CannabisSubstance-Related DisordersVapingAdultEthanolHumansLatent Class AnalysisRisk FactorsYoung AdultEthanolAffectDaily diaryLatent class analysisStressSubstance co-useYoung adults

Identifiers

PMID34716891
PMCPMC9054936
OpenAlexW3208316137

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.