Evidence map›Paper›PMID 34284313›Full record

ArticleAddictive behaviors2021

Demographic risk factors for co-occurring suicidality and cannabis use disorders: Findings from a nationally representative United States sample.

Lourah M Kelly, Tess K Drazdowski, Nicholas R Livingston, Kristyn Zajac

Abstract read
In one paragraph

Article in Addictive behaviors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Interactive effect of adverse child experiences and suicidal thoughts and behaviors on adolescent alcohol and cannabis use frequency.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2023
    Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. 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

4 authors.

Lourah M KellyUniversity of Connecticut, School of Medicine, United States.
Tess K DrazdowskiOregon Social Learning Center, United States.
Nicholas R LivingstonUniversity of Wyoming, Department of Psychology, United States.
Kristyn ZajacUniversity of Connecticut, School of Medicine, United States. Electronic address: zajac@uchc.edu.

Funding

Pilot StudiesP50AA027055 · NIAAA · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI COVAULT, JONATHAN M · 2019 to 2023
$7.8M
POST-DOCTORAL TRAINING PROGRAM IN ALCOHOL STUDIEST32AA007290 · NIAAA · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI SHEILA MARIE ALESSI · 1985 to 2026
$3.2M
Diversity Supplement: Building a Lasting Foundation to Advance Actionable Research on Recovery Support Services for High Risk Individuals with Opioid Use Disorder: The Initiative for JEAPR24DA051950 · NIDA · OREGON SOCIAL LEARNING CENTER, INC. · PI MCCART, MICHAEL R, SHEIDOW, ASHLI J · 2020 to 2025
$2.8M
A Reinforcement Intervention for Increasing HIV Testing Among At-Risk WomenR01MD013550 · NIMHD · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI ZAJAC, KRISTYN · 2018 to 2022
$2.8M
Treating Co-Occurring PTSD and Substance Abuse in High-Risk Transition Age YouthK23DA034879 · NIDA · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI ZAJAC, KRISTYN · 2014 to 2018
$964k
Reducing Opioid and Other Drug Use in Justice-Involved Emerging Adults using Paraprofessional Coaches (with and without Lived Experience) to Deliver Effective Services in a Non-Treatment SettingK23DA048161 · NIDA · OSLC DEVELOPMENTS · PI DRAZDOWSKI, TESS K. · 2020 to 2024
$963k
NIAAA NIH HHS P50 AA027055NIAAA NIH HHS T32 AA007290NIDA NIH HHS K23 DA034879NIDA NIH HHS K23 DA048161NIDA NIH HHS R24 DA051950NIMHD NIH HHS R01 MD013550
6 · The paper itself

Abstract

objectiveBurgeoning research suggests a link between suicidality (i.e., ideation, attempts) and cannabis use; however, little is known about which demographic groups are at increased risk of co-occurring suicidality and cannabis use disorders (CUD). This study tested differences in suicidality, CUD, and their co-occurrence by gender, age, race/ethnicity, and sexual orientation in a nationally representative U.S. SAMPLE:

methodFive years (2015-2019) of National Survey of Drug Use and Heath surveys were combined. Multinomial logistic regressions tested demographic differences in odds of suicidality only, CUD only, and co-occurring CUD and suicidality, relative to neither suicidality nor CUD. Covariates included survey year, major depressive episode, and other substance use disorders.

resultsMen had higher odds of co-occurring suicidal ideation and CUD than women (AOR = 2.06). All older age groups reported lower odds of co-occurring suicidal ideation and CUD and co-occurring suicide attempts and CUD than emerging adults (AORs = 0.06-0.39). Black/African American (AOR = 1.42) and Native (AOR = 2.16) adults reported higher odds of co-occurring suicidal ideation and CUD than White adults. Black/African American (AOR = 4.05) and Hispanic/Latinx (AOR = 2.49) adults reported higher odds of co-occurring CUD and suicide attempts than White adults. Gay/lesbian (AOR = 2.04) and bisexual (AOR = 3.16) adults reported higher odds of co-occurring suicidal ideation and CUD than heterosexual adults.

conclusionsMen, emerging adults, Black/African American, Native, and sexual minority groups had elevated risk of co-occurring suicidal ideation and CUD. Emerging adults, Black/African American, and Hispanic/Latinx groups had elevated risk of co-occurring suicide attempts and CUD.

Indexed as

CannabisMajor Depressive DisorderSuicideAdultAgedEthnicityHumansRisk FactorsSuicidal IdeationUnited StatesCannabis use disorderNationally representativeSuicidal ideationSuicide attempt

Identifiers

PMID34284313
PMCPMC8351371

What OpenQuestion holds

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Registered trials

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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.