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Mapping the Pathways Between Posttraumatic Stress Disorder, Depression, and Alcohol and Cannabis Use: A Network Analysis.
- Source :
-
Journal of dual diagnosis [J Dual Diagn] 2024 Oct-Dec; Vol. 20 (4), pp. 318-326. Date of Electronic Publication: 2024 Mar 31. - Publication Year :
- 2024
-
Abstract
- Objective: The present study examines the network structure and, using Bayesian network analysis, estimates the directional pathways among symptoms of posttraumatic stress disorder (PTSD), major depressive disorder (MDD), and levels of alcohol and cannabis use. Method: A sample of 1471 adults in the United States, who reported at least one potentially traumatic event, completed the PTSD Checklist (PCL-5), Patient Health Questionnaire (PHQ-9), and the Alcohol/Cannabis Use Disorders Identification Test (AUDIT/CUDIT). A regularized partial correlation network provided estimates of symptoms clusters and connections. Directional pathways within the network were then estimated using a directed acyclic graph (DAG). Results: Symptoms clustered in theoretically consistent ways. Risky behavior demonstrated the highest strength centrality and bridge strength. Neither alcohol nor cannabis use appeared central in the network, and DAG results suggested that MDD and PTSD symptoms are more likely to lead to substance use than the other way around. Conclusions: Results suggest that cannabis use is largely connected to alcohol use. Consistent with prior research, risky behavior appeared to be the primary bridge between substance use and PTSD. The direction of associations between substance use and psychological symptoms requires further attention.
- Subjects :
- Humans
Male
Female
Adult
Middle Aged
Young Adult
Diagnosis, Dual (Psychiatry)
Marijuana Abuse epidemiology
Marijuana Abuse complications
Marijuana Abuse psychology
United States epidemiology
Alcohol Drinking epidemiology
Alcohol Drinking psychology
Risk-Taking
Adolescent
Stress Disorders, Post-Traumatic epidemiology
Depressive Disorder, Major epidemiology
Bayes Theorem
Subjects
Details
- Language :
- English
- ISSN :
- 1550-4271
- Volume :
- 20
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Journal of dual diagnosis
- Publication Type :
- Academic Journal
- Accession number :
- 38555875
- Full Text :
- https://doi.org/10.1080/15504263.2024.2330620