Evidence map›Paper›PMID 39444433›Full record

ArticleAddiction research & theory2024

Affect Variability in Relation to Alcohol Use Frequency, Intensity, and Concurrent Cannabis Use Among College Students during the COVID-19 Pandemic.

Danny Rahal, Ashley N Linden-Carmichael, Stephanie T Lanza

Abstract read
In one paragraph

Article in Addiction research & theory, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Danny RahalUniversity of California, Santa Cruz, Psychology Department, Santa Cruz, CA 95064, USA.
Ashley N Linden-CarmichaelThe Pennsylvania State University, Edna Bennett Pierce Prevention Research Center, University Park, PA 16802, USA.
Stephanie T LanzaThe Pennsylvania State University, Edna Bennett Pierce Prevention Research Center, University Park, PA 16802, USA.

Funding

PREVENTION AND METHODOLOGY TRAINING (PAMT)T32DA017629 · NIDA · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI Eric D Claus, Rina D Eiden · 2005 to 2026
$9.5M
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
Advancing Tobacco Research by Integrating Systems Science and Mixture ModelsR01CA168676 · NCI · PENNSYLVANIA STATE UNIVERSITY, THE · PI LANZA, STEPHANIE T · 2012 to 2014
$498k
NCI NIH HHS R01 CA168676NIAAA NIH HHS K01 AA026854NIDA NIH HHS R01 DA057588NIDA NIH HHS T32 DA017629
6 · The paper itself

Abstract

Although alcohol use is related to daily affect, findings regarding affect variability-the degree to which individuals exhibit day-to-day fluctuations in affect-and alcohol use have been mixed. The present study assessed whether individuals who use alcohol tend to have higher positive and negative affect variability than individuals who do not, as well as whether higher affect variability is related to more frequent and intense alcohol use among individuals who use alcohol. We also explored whether affect variability differed between individuals who use alcohol and those who concurrently use alcohol and cannabis. College students (

Indexed as

affective variabilityalcohol usecannabis useemotional variabilityemotion dynamics

Identifiers

PMID39444433
PMCPMC11495852

What OpenQuestion holds

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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.