Identifying pathways between psychiatric symptoms and psychosocial functioning in the general population

•In the networking analysis, the most important nodes for good and intermediate functioning clusters were anxiety and uneasy symptoms. The relevant nodes for low functioning cluster were anxiety, feeling of failure, and depression.•Our machine learning-based decision tree showed the low functioning...

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Bibliographic Details
Published in:European neuropsychopharmacology 2023-02, Vol.67, p.86-94
Main Authors: Rabelo-da-Ponte, Francisco Diego, Verdolini, Norma, Goularte, Jeferson Ferraz, Serafim, Silvia Dubou, Caldieraro, Marco Antonio Knob, Vieta, Eduard, Ramos-Quiroga, J. Antoni, Amoretti, Silvia, Rosa, Adriane R.
Format: Article
Language:English
Subjects:
Anxiety - psychology
Anxiety Disorders - epidemiology
Cross-Sectional Studies
Depression - diagnosis
Depression - epidemiology
Functioning
Humans
Machine learning
Network analysis
Psychiatric symptoms
Psychosocial Functioning
Seizures
Web survey
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Summary:•In the networking analysis, the most important nodes for good and intermediate functioning clusters were anxiety and uneasy symptoms. The relevant nodes for low functioning cluster were anxiety, feeling of failure, and depression.•Our machine learning-based decision tree showed the low functioning cluster split into two parts: 1) subjects with symptoms of severe mental illness plus low income; 2) individuals with symptoms of severe mental illness plus age (
ISSN:0924-977X
1873-7862
DOI:10.1016/j.euroneuro.2022.11.005