Evidence map›Paper›PMID 37224773›Full record

ArticleJournal of psychiatric research2023

Dimensionality and differential functioning of DSM-5 cannabis use disorder criteria in an online sample of adults with frequent cannabis use.

Dvora Shmulewitz, Alan J Budney, Jacob T Borodovsky, Julia M Bujno, Claire A Walsh, Cara A Struble, Ofir Livne, Mohammad I Habib, Efrat Aharonovich, Deborah S Hasin

Open access · greenAbstract read
In one paragraph

Article in Journal of psychiatric research, 2023. 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
1.2field-weighted citation impact, top 22% 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, 5 citations in OpenAlex.

  1. Article
  2. 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

10 authors at 4 institutions in 2 countries.

Dvora ShmulewitzDepartment of Psychiatry, Columbia University Irving Medical Center, 1051 Riverside Drive, New York, NY, 10032, USA; New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY, 10032, USA. Electronic address: ds1019@cumc.columbia.edu.
Alan J BudneyCenter for Technology and Behavioral Health, Dartmouth Geisel School of Medicine, 46 Centerra Pkwy, Lebanon, NH, 03766, USA; Department of Biomedical Data Science, Dartmouth Geisel School of Medicine, 1 Rope Ferry Road, Hanover, NH, 03755, USA. Electronic address: alan.budney@dartmouth.edu.
Jacob T BorodovskyCenter for Technology and Behavioral Health, Dartmouth Geisel School of Medicine, 46 Centerra Pkwy, Lebanon, NH, 03766, USA; Department of Biomedical Data Science, Dartmouth Geisel School of Medicine, 1 Rope Ferry Road, Hanover, NH, 03755, USA. Electronic address: jacob.t.borodovsky@dartmouth.edu.
Julia M BujnoNew York State Psychiatric Institute, 1051 Riverside Drive, New York, NY, 10032, USA. Electronic address: julia.bujno@nyspi.columbia.edu.
Claire A WalshNew York State Psychiatric Institute, 1051 Riverside Drive, New York, NY, 10032, USA. Electronic address: claire.walsh@nyspi.columbia.edu.
Cara A StrubleCenter for Technology and Behavioral Health, Dartmouth Geisel School of Medicine, 46 Centerra Pkwy, Lebanon, NH, 03766, USA; Department of Biomedical Data Science, Dartmouth Geisel School of Medicine, 1 Rope Ferry Road, Hanover, NH, 03755, USA. Electronic address: cara.a.struble@dartmouth.edu.
Ofir LivneNew York State Psychiatric Institute, 1051 Riverside Drive, New York, NY, 10032, USA; Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168th St, New York, NY, 10032, USA. Electronic address: ol2166@cumc.columbia.edu.
Mohammad I HabibCenter for Technology and Behavioral Health, Dartmouth Geisel School of Medicine, 46 Centerra Pkwy, Lebanon, NH, 03766, USA. Electronic address: mohammad.i.habib@dartmouth.edu.
Efrat AharonovichNew York State Psychiatric Institute, 1051 Riverside Drive, New York, NY, 10032, USA. Electronic address: efrat.aharonovich@nyspi.columbia.edu.
Deborah S HasinDepartment of Psychiatry, Columbia University Irving Medical Center, 1051 Riverside Drive, New York, NY, 10032, USA; New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY, 10032, USA; Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168th St, New York, NY, 10032, USA. Electronic address: deborah.hasin@gmail.com.
Dartmouth College · USNew York Psychoanalytic Society and Institute · USColumbia University Irving Medical Center · USUniversité Bourgogne Franche-Comté · FR

Funding

Treatment Development & Evaluation CoreP30DA029926 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2011 to 2026
$21.5M
Substance Abuse Epidemiology Training Program (SAETP) at Columbia UniversityT32DA031099 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DEBORAH S HASIN, Silvia Saboia Martins · 2012 to 2026
$6.1M
Training in the Science of Co-Occurring DisordersT32DA037202 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2014 to 2026
$4.7M
Impact of Medical and Recreational Marijuana Laws On Cannabis, Opioids And Psychiatric Medications: National Study of VA Patients, 2000 - 2024R01DA048860 · NIDA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI HASIN, DEBORAH S · 2019 to 2023
$4.1M
Leveraging Social Media to Develop the Cannabis Exposure Index (CEI), A Standardized Measure of Cannabis UseR01DA050032 · NIDA · DARTMOUTH COLLEGE · PI Jacob T Borodovsky, DEBORAH S HASIN · 2020 to 2026
$3.8M
Cannabis use patterns and associations with cognitive impairment in older adultsK23DA057417 · NIDA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI Ofir Livne · 2023 to 2026
$586k
NIDA NIH HHS K23 DA057417NIDA NIH HHS P30 DA029926NIDA NIH HHS R01 DA048860NIDA NIH HHS R01 DA050032NIDA NIH HHS T32 DA031099NIDA NIH HHS T32 DA037202
6 · The paper itself

Abstract

The DSM-5 criteria for cannabis use disorder (CUD) combine DSM-IV dependence and abuse criteria (without legal problems) and new withdrawal and craving criteria. Information on dimensionality, internal reliability, and differential functioning of the DSM-5 CUD criteria is lacking. Additionally, dimensionality of the DSM-5 withdrawal items is unknown. This study examined the psychometric properties of the DSM-5 CUD criteria among adults who used cannabis in the past 7 days (N = 5,119). Adults with frequent cannabis use were recruited from the US general population through social media and filled in a web-based survey about demographics and cannabis use behaviors. Factor analysis was used to assess dimensionality, and item response theory analysis models were used to explore relationships between the criteria and the underlying latent trait (CUD), and whether each criterion and the criteria set functioned differently by demographic and clinical characteristics: sex, age, state-level cannabis laws, reasons for cannabis use, and frequency of use. The DSM-5 CUD criteria showed unidimensionality and provided information about the CUD latent trait across the severity spectrum. The cannabis withdrawal items indicated one underlying latent factor. While some CUD criteria functioned differently in specific subgroups, the criteria set as a whole functioned similarly across subgroups. In this online sample of adults with frequent cannabis use, evidence supports the reliability, validity, and utility of the DSM-5 CUD diagnostic criteria set, which can be used for determining a major risk of cannabis use, i.e., CUD, to inform cannabis policies and public health messaging, and for developing intervention strategies.

Indexed as

CannabisHallucinogensMarijuana AbuseSubstance-Related DisordersAdultDiagnostic and Statistical Manual of Mental DisordersHumansReproducibility of ResultsHallucinogensCannabis use disorderDifferential functioningDimensionalityItem response theoryPsychometrics

Identifiers

PMID37224773
PMCPMC10330577
OpenAlexW4376649422

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.