Sociodemographic and clinical correlates of cannabis dependence among Israeli combat veterans.


Journal

Journal of substance abuse treatment
ISSN: 1873-6483
Titre abrégé: J Subst Abuse Treat
Pays: United States
ID NLM: 8500909

Informations de publication

Date de publication:
08 2022
Historique:
received: 04 11 2021
revised: 07 03 2022
accepted: 24 04 2022
pubmed: 8 5 2022
medline: 14 6 2022
entrez: 7 5 2022
Statut: ppublish

Résumé

Cannabis is one of the most widely used addictive substances globally. Its use increases the risk for various physical and psychological problems and some cannabis users may develop cannabis dependence. Researchers have explored risk factors for transition to cannabis dependence. Military veterans, and in particular, combat veterans, have an elevated risk for cannabis dependence and several emotional disorders. To date, the field lacks knowledge regarding possible risk factors for the development of cannabis dependence among combat military veterans. The current study examined sociodemographic and clinical variables associated with cannabis dependence among combat military veterans using SPSS software. Results indicate that participants who screened positive for cannabis dependence had reported using a significantly higher dosage of cannabis (in grams) per week and scored significantly higher in the moral injury "other" subscale and in the moral injury "betrayal" subscale compared to those who did not screen positive for cannabis dependence. In addition, after controlling for confounding factors, depression, but not PTSD, was significantly associated with cannabis dependence (AOR = 1.98, CI = 1.05-3.72, p < .05. and AOR = 1.19, 95% CI = 0.56-2.54, p = n.s., respectively). This study sheds light on the correlates of cannabis dependence among combat veterans that should be further studied in future research.

Identifiants

pubmed: 35525717
pii: S0740-5472(22)00068-X
doi: 10.1016/j.jsat.2022.108786
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

108786

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Auteurs

Ariel Asper (A)

Department of Behavioral Sciences, Ariel University, Israel.

Elishav Binenfeld (E)

Department of Behavioral Sciences, Ariel University, Israel.

Harel Pshitizky (H)

Department of Behavioral Sciences, Ariel University, Israel.

Daniel Feingold (D)

Department of Behavioral Sciences, Ariel University, Israel. Electronic address: d.y.feingold@gmail.com.

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Classifications MeSH