The symptoms at the center: Examining the comorbidity of posttraumatic stress disorder, generalized anxiety disorder, and depression with network analysis.


Journal

Journal of psychiatric research
ISSN: 1879-1379
Titre abrégé: J Psychiatr Res
Pays: England
ID NLM: 0376331

Informations de publication

Date de publication:
02 2019
Historique:
received: 05 06 2018
revised: 09 11 2018
accepted: 20 11 2018
pubmed: 5 12 2018
medline: 28 3 2020
entrez: 4 12 2018
Statut: ppublish

Résumé

Comorbid mental health disorders are highly common in trauma-exposed individuals with posttraumatic stress disorder (PTSD), depression, and generalized anxiety disorder (GAD) among the most common co-occurring conditions. Network models of psychopathology offer a novel method to understand how this comorbidity manifests. The present study examined the presence of symptom communities (groups of highly connected symptoms) within a network of these disorders and hub symptoms (symptoms that connect such communities). Cross-sectional data were obtained from a community sample (N = 1184) of trauma exposed adults. Network analyses identified 5 communities: 1 containing all depression and GAD symptoms and 4 for PTSD. The PTSD communities corresponded to symptoms of intrusion and avoidance, hyperarousal, dysphoria, and negative affect. These communities had varying levels of connectivity to the Depression & GAD community. Symptoms of GAD (inability to relax) and PTSD (restricted or diminished positive emotion) were identified as key hub symptoms for the network. The results suggest symptoms of depression and GAD are highly interrelated and that PTSD is heterogeneous. The comorbidity among these diagnoses is thought to stem from their overlap with negative affect.

Identifiants

pubmed: 30502492
pii: S0022-3956(18)30708-8
doi: 10.1016/j.jpsychires.2018.11.016
pmc: PMC6420212
mid: NIHMS1515307
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

52-58

Subventions

Organisme : NIMH NIH HHS
ID : K08 MH107661
Pays : United States
Organisme : NIGMS NIH HHS
ID : P20 GM125498
Pays : United States

Informations de copyright

Copyright © 2018 Elsevier Ltd. All rights reserved.

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Auteurs

Matthew Price (M)

Center for Research on Emotion, Stress, and Technology, Department of Psychological Science, University of Vermont, USA. Electronic address: Matthew.Price@uvm.edu.

Alison C Legrand (AC)

Center for Research on Emotion, Stress, and Technology, Department of Psychological Science, University of Vermont, USA.

Zoe M F Brier (ZMF)

Center for Research on Emotion, Stress, and Technology, Department of Psychological Science, University of Vermont, USA.

Laurent Hébert-Dufresne (L)

Vermont Complex Systems Center, Department of Computer Science, University of Vermont, USA.

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Classifications MeSH