Exploring core symptoms of alcohol withdrawal syndrome in alcohol use disorder patients: a network analysis approach.

ABSTRACT:

Background

Understanding the interplay between psychopathology of alcohol withdrawal syndrome (AWS) in alcohol use disorder (AUD) patients may improve the effectiveness of relapse interventions for AUD. Network theory of mental disorders assumes that mental disorders persist not of a common functional disorder, but from a sustained feedback loop between symptoms, thereby explaining the persistence of AWS and the high relapse rate of AUD. The current study aims to establish a network of AWS, identify its core symptoms and find the bridges between the symptoms which are intervention target to relieve the AWS and break the self-maintaining cycle of AUD.

Methods

Graphical lasso network were constructed using psychological symptoms of 553 AUD patients. Global network structure, c

SUBMITTER: Shen G 

PROVIDER: S-EPMC11390437 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature