Cannabis Practices Among a Gender-Diverse Sample of Young Adults.

cannabis gender differences gender minority marijuana

Journal

Drug and alcohol dependence reports
ISSN: 2772-7246
Titre abrégé: Drug Alcohol Depend Rep
Pays: Netherlands
ID NLM: 9918350383506676

Informations de publication

Date de publication:
Dec 2022
Historique:
entrez: 6 2 2023
pubmed: 7 2 2023
medline: 7 2 2023
Statut: ppublish

Résumé

Gender is an important factor in understanding cannabis patterns, yet few studies have explored cannabis patterns among gender minority (GM) individuals - particularly among high-risk age groups including young adults. The evolving cannabis market is reshaping typical patterns of cannabis use in the U.S. The combination of these factors warrants increased efforts to examine cannabis practices in gender-diverse samples. Online survey participants between 18-34 years (N=2377) from the U.S. provided information on cannabis practices from May - July 2021. Gender differences across several cannabis outcomes (onset, methods of consumption, product potency, frequency, and quantity) were assessed. Bivariate tests and multiple regression models examined associations between gender (cisgender men: In regression models adjusted for sociodemographic characteristics, GM identity was associated with later age of onset and lower likelihood of daily use compared to cisgender men and women. Identifying as GM or cisgender woman was associated with fewer lifetime methods of consumption and lower plant and concentrate potency usage. Findings provide initial insights into potential gender differences in cannabis practices from a sample of heavy cannabis users. GM young adults report use patterns indicative of lower risk compared to cisgender men and women in our sample. Future investigations of gender differences in cannabis use that explore specific gender minority categories and that include alternative sampling strategies are needed to better understand differential risks associated with gender.

Sections du résumé

Background UNASSIGNED
Gender is an important factor in understanding cannabis patterns, yet few studies have explored cannabis patterns among gender minority (GM) individuals - particularly among high-risk age groups including young adults. The evolving cannabis market is reshaping typical patterns of cannabis use in the U.S. The combination of these factors warrants increased efforts to examine cannabis practices in gender-diverse samples.
Methods UNASSIGNED
Online survey participants between 18-34 years (N=2377) from the U.S. provided information on cannabis practices from May - July 2021. Gender differences across several cannabis outcomes (onset, methods of consumption, product potency, frequency, and quantity) were assessed. Bivariate tests and multiple regression models examined associations between gender (cisgender men:
Results UNASSIGNED
In regression models adjusted for sociodemographic characteristics, GM identity was associated with later age of onset and lower likelihood of daily use compared to cisgender men and women. Identifying as GM or cisgender woman was associated with fewer lifetime methods of consumption and lower plant and concentrate potency usage.
Conclusions UNASSIGNED
Findings provide initial insights into potential gender differences in cannabis practices from a sample of heavy cannabis users. GM young adults report use patterns indicative of lower risk compared to cisgender men and women in our sample. Future investigations of gender differences in cannabis use that explore specific gender minority categories and that include alternative sampling strategies are needed to better understand differential risks associated with gender.

Identifiants

pubmed: 36741544
doi: 10.1016/j.dadr.2022.100113
pmc: PMC9894216
mid: NIHMS1855638
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : NIDA NIH HHS
ID : R21 DA057535
Pays : United States
Organisme : NIDA NIH HHS
ID : R01 DA050032
Pays : United States
Organisme : NIDA NIH HHS
ID : P30 DA029926
Pays : United States
Organisme : NIDA NIH HHS
ID : T32 DA031099
Pays : United States
Organisme : NIDA NIH HHS
ID : T32 DA037202
Pays : United States

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Auteurs

Cara A Struble (CA)

Department of Biomedical Data Science, Dartmouth Geisel School of Medicine, Lebanon, NH, USA.

Jacob T Borodovsky (JT)

Department of Biomedical Data Science, Dartmouth Geisel School of Medicine, Lebanon, NH, USA.

Mohammad I Habib (MI)

Department of Biomedical Data Science, Dartmouth Geisel School of Medicine, Lebanon, NH, USA.

Deborah S Hasin (DS)

Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA.
New York State Psychiatric Institute, New York, NY, USA.
Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA.

Dvora Shmulewitz (D)

Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA.
New York State Psychiatric Institute, New York, NY, USA.

Ofir Livne (O)

Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA.
New York State Psychiatric Institute, New York, NY, USA.

Claire Walsh (C)

Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA.

Efrat Aharonovich (E)

Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA.
New York State Psychiatric Institute, New York, NY, USA.

Alan J Budney (AJ)

Department of Biomedical Data Science, Dartmouth Geisel School of Medicine, Lebanon, NH, USA.
Department of Psychiatry, Dartmouth Geisel School of Medicine, Lebanon, NH, USA.

Classifications MeSH