Artificial Neural Network Analysis Examining Substance Use Problems Co-Occurring with Anxiety and Depressive Disorders Among Adults Receiving Mental Health Treatment.
J Dual Diagn
; : 1-12, 2024 May 26.
Article
en En
| MEDLINE
| ID: mdl-38796732
ABSTRACT
Objective:
The co-occurrence of anxiety disorders, depressive disorders, and substance use problems was examined.Methods:
The Mental Health Client-Level Data dataset was used to conduct logistic regression models and an artificial neural network analysis. Logistic regression analyses were conducted among adults with anxiety (n = 547,473) or depressive disorders (n = 1,610,601) as their primary diagnosis who received treatment in a community mental health center. The artificial neural network analysis was conducted with the entire sample (N = 2,158,074).Results:
Approximately 30% of the sample had co-occurring high-risk substance use or substance use disorder. Characteristics including region of treatment receipt, age, education, gender, race and ethnicity, and the presence of co-occurring anxiety and depressive disorders were associated with the co-occurring high-risk substance use or a substance use disorder.Conclusions:
Findings from this study highlight the importance of mental health facilities to screen for and provide integrated treatment for co-occurring disorders.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Idioma:
En
Revista:
J Dual Diagn
Año:
2024
Tipo del documento:
Article
País de afiliación:
Estados Unidos