Hostname: page-component-5d84bcc8dc-mx9mb Total loading time: 0 Render date: 2026-09-09T02:57:44.511Z Has data issue: false hasContentIssue false

Symptoms of persistent complex bereavement disorder, depression, and PTSD in a conjugally bereaved sample: a network analysis

Published online by Cambridge University Press:  18 July 2018

Matteo Malgaroli*
Affiliation:
Teachers College, Columbia University, New York, NY 10027, USA
Fiona Maccallum
Affiliation:
University of New South Wales, Sidney, Australia
George A. Bonanno
Affiliation:
Teachers College, Columbia University, New York, NY 10027, USA
*
Author for correspondence: Matteo Malgaroli, PhD E-mail: mm4408@columbia.edu

Abstract

Background

Complicated and persistent grief reactions afflict approximately 10% of bereaved individuals and are associated with severe disruptions of functioning. These maladaptive patterns were defined in Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) as persistent complex bereavement disorder (PCBD), but its criteria remain debated. The condition has been studied using network analysis, showing potential for an improved understanding of PCBD. However, previous studies were limited to self-report and primarily originated from a single archival dataset. To overcome these limitations, we collected structured clinical interview data from a community sample of newly conjugally bereaved individuals (N = 305).

Methods

Gaussian graphical models (GGM) were estimated from PCBD symptoms diagnosed at 3, 14, and 25 months after the loss. A directed acyclic graph (DAG) was generated from initial PCBD symptoms, and comorbidity networks with DSM-5 symptoms of major depressive disorder (MDD) and post-traumatic stress disorder (PTSD) were analyzed 1 year post-loss.

Results

In the GGM, symptoms from the social/identity PCBD symptoms cluster (i.e. role confusion, meaninglessness, and loneliness) tended to be central in the network at all assessments. In the DAG, yearning activated a cascade of PCBD symptoms, suggesting how symptoms lead into psychopathological configurations. In the comorbidity networks, PCBD and depressive symptoms formed separate communities, while PTSD symptoms divided in heterogeneous clusters.

Conclusions

The network approach offered insights regarding the core symptoms of PCBD and the role of persistent yearnings. Findings are discussed regarding both clinical and theoretical implications that will serve as a step toward a more integrated understanding of PCBD.

Information

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

Supplementary material: PDF

Malgaroli et al. supplementary material

Malgaroli et al. supplementary material 1

Download Malgaroli et al. supplementary material(PDF)
PDF 413.9 KB
Supplementary material: PDF

Malgaroli et al. supplementary material

Malgaroli et al. supplementary material 2

Download Malgaroli et al. supplementary material(PDF)
PDF 447.4 KB
Supplementary material: PDF

Malgaroli et al. supplementary material

Malgaroli et al. supplementary material 3

Download Malgaroli et al. supplementary material(PDF)
PDF 395.1 KB
Supplementary material: PDF

Malgaroli et al. supplementary material

Malgaroli et al. supplementary material 4

Download Malgaroli et al. supplementary material(PDF)
PDF 876.3 KB
Supplementary material: PDF

Malgaroli et al. supplementary material

Malgaroli et al. supplementary material 5

Download Malgaroli et al. supplementary material(PDF)
PDF 1.6 MB
Supplementary material: PDF

Malgaroli et al. supplementary material

Malgaroli et al. supplementary material 6

Download Malgaroli et al. supplementary material(PDF)
PDF 370 KB
Supplementary material: PDF

Malgaroli et al. supplementary material

Malgaroli et al. supplementary material 7

Download Malgaroli et al. supplementary material(PDF)
PDF 181.4 KB
Supplementary material: PDF

Malgaroli et al. supplementary material

Malgaroli et al. supplementary material 8

Download Malgaroli et al. supplementary material(PDF)
PDF 392.9 KB
Supplementary material: PDF

Malgaroli et al. supplementary material

Malgaroli et al. supplementary material 9

Download Malgaroli et al. supplementary material(PDF)
PDF 94.8 KB
Supplementary material: PDF

Malgaroli et al. supplementary material

Malgaroli et al. supplementary material 10

Download Malgaroli et al. supplementary material(PDF)
PDF 744.5 KB
Supplementary material: PDF

Malgaroli et al. supplementary material

Malgaroli et al. supplementary material 11

Download Malgaroli et al. supplementary material(PDF)
PDF 389.9 KB
Supplementary material: PDF

Malgaroli et al. supplementary material

Malgaroli et al. supplementary material 12

Download Malgaroli et al. supplementary material(PDF)
PDF 184.3 KB
Supplementary material: PDF

Malgaroli et al. supplementary material

Malgaroli et al. supplementary material 13

Download Malgaroli et al. supplementary material(PDF)
PDF 443.9 KB
Supplementary material: PDF

Malgaroli et al. supplementary material

Malgaroli et al. supplementary material 14

Download Malgaroli et al. supplementary material(PDF)
PDF 85.2 KB