Evidence map›Paper›PMID 37992453›Full record

ArticleAddictive behaviors2024

Age-related patterns in high-risk alcohol and cannabis use and their associations with positive and negative affect in young adulthood.

K Guttmannova, B H Calhoun, J C Duckworth, G Martinez, C B Fleming, M E Patrick, C M Lee

Open access · greenAbstract read
In one paragraph

Article in Addictive behaviors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. 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
    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

7 authors at 3 institutions in 2 countries.

K GuttmannovaDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States. Electronic address: kg27@uw.edu.
B H CalhounDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States. Electronic address: bhc120@uw.edu.
J C DuckworthDepartment of Human Development, Washington State University, Pullman, WA, United States. Electronic address: jennifer.duckworth@wsu.edu.
G MartinezDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States. Electronic address: gm212@uw.edu.
C B FlemingDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States. Electronic address: cnbflem@uw.edu.
M E PatrickInstitute for Social Research, University of Michigan, Ann Arbor, MI, United States. Electronic address: meganpat@umich.edu.
C M LeeDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States. Electronic address: leecm@uw.edu.
University of Washington · USUniversity of Michigan · USWashington State University · US

Funding

Developmental Models of High-Risk Alcohol Use & Social Roles in Young AdulthoodR01AA022087 · NIAAA · UNIVERSITY OF WASHINGTON · PI LEE, CHRISTINE M. · 2014 to 2018
$2.8M
Promoting health by understanding the dynamic interplay between internalizing symptoms and substance use among Latinx youth in rural and small-town communities in the United StatesR01DA048827 · NIDA · UNIVERSITY OF WASHINGTON · PI GUTTMANNOVA, KATARINA · 2020 to 2023
$1.3M
Predictors and consequences of young adult marijuana use and concurrent and simultaneous alcohol use: Month to month variation across 24 consecutive monthsR01AA027496 · NIAAA · UNIVERSITY OF WASHINGTON · PI LEE, CHRISTINE M. · 2019 to 2021
$981k
NIAAA NIH HHS R01 AA022087NIAAA NIH HHS R01 AA027496NIDA NIH HHS R01 DA048827
6 · The paper itself

Abstract

objectiveWe examined age-varying associations between young adult simultaneous alcohol and marijuana/cannabis use (SAM) and heavy episodic drinking (HED) and positive and negative affect to inform harm reduction efforts.

methodsYoung adults reporting past-year alcohol use (n = 556; ages 19-25) were recruited in a state where alcohol and nonmedical cannabis use was legal for those 21 +. Participants provided 24 repeated monthly assessments. Among those reporting past-month cannabis use on at least one survey, logistic time-varying effect models estimated (1) the age-varying prevalence of and associations between past-month SAM and HED and (2) age-varying unique associations of affect with SAM and HED.

resultsThere was a positive age-varying association between HED and SAM over time that was highest at age 19 (OR = 7.56), decreased until age 20.7 (OR = 3.39), increased until age 23.0 (OR = 4.85), and decreased until the association became non-significant by age 25. Negative affect was positively associated with SAM from ages 20.7 to 23.0, peaking at age 21.8 (OR = 1.36). Positive affect was positively associated with HED from ages 19.4 to 20.4 (peak OR = 1.25) and ages 22.5 to 24.5 (peak OR = 1.38). In contrast, positive affect was not uniquely associated with SAM nor negative affect with HED across ages 19-25.

conclusionsWhile HED and SAM were positively associated throughout young adulthood and interventions could target them in tandem, their associations with affect suggest differential etiologic processes. Preventive intervention and harm reduction efforts should attend to psychological context in which these behaviors occur.

Indexed as

CannabisMarijuana SmokingMarijuana UseSubstance-Related DisordersAdultAlcohol DrinkingEthanolHumansYoung AdultEthanolHeavy episodic drinkingNegative affectPositive affectSimultaneous alcohol and cannabis useTime-varying effects modelingYoung adults

Identifiers

PMID37992453
PMCPMC10843638
OpenAlexW4388667965

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.