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Defining a combined constellation of complicated bereavement and PTSD and the psychosocial correlates associated with the pattern amongst refugees from West Papua

Published online by Cambridge University Press:  28 August 2018

Alvin Kuowei Tay*
Affiliation:
Centre for Population Mental Health Research, Liverpool Hospital, Psychiatry, Research and Teaching Unit, School of Psychiatry, University of New South Wales, Cnr Forbes and Campbell Streets, Liverpool NSW 2170, Sydney, Australia
Susan Rees
Affiliation:
Centre for Population Mental Health Research, Liverpool Hospital, Psychiatry, Research and Teaching Unit, School of Psychiatry, University of New South Wales, Cnr Forbes and Campbell Streets, Liverpool NSW 2170, Sydney, Australia
Natalino Tam
Affiliation:
Centre for Population Mental Health Research, Liverpool Hospital, Psychiatry, Research and Teaching Unit, School of Psychiatry, University of New South Wales, Cnr Forbes and Campbell Streets, Liverpool NSW 2170, Sydney, Australia
Moses Kareth
Affiliation:
Centre for Population Mental Health Research, Liverpool Hospital, Psychiatry, Research and Teaching Unit, School of Psychiatry, University of New South Wales, Cnr Forbes and Campbell Streets, Liverpool NSW 2170, Sydney, Australia
Derrick Silove
Affiliation:
Centre for Population Mental Health Research, Liverpool Hospital, Psychiatry, Research and Teaching Unit, School of Psychiatry, University of New South Wales, Cnr Forbes and Campbell Streets, Liverpool NSW 2170, Sydney, Australia
*
Author for correspondence: Alvin Kuowei Tay, E-mail: alvin.tay@unsw.edu.au
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Abstract

Background

Refugees are at risk of experiencing a combined constellation of complicated bereavement and posttraumatic stress disorder (PTSD) symptoms following exposure to complex traumas associated with personal threat and loss. Features of identity confusion are central to both complicated bereavement and PTSD and these characteristics may be particularly prominent amongst refugees from traditional cultures displaced from their homelands, families, and kinship groups. We investigate whether a combined pattern of complicated bereavement and PTSD can be identified amongst West Papuan refugees participating in an epidemiological survey (n = 486, response rate: 85.8%) in a remote town in Papua New Guinea.

Methods

Latent class analysis was applied to derive subpopulations of refugees based on symptoms of complicated bereavement and PTSD. Associations were examined between classes and traumatic loss events, post-migration living difficulties (PMLDs), and psychosocial support systems.

Results

The four classes identified comprised a complicated bereavement class (11%), a combined posttraumatic bereavement class (10%), a PTSD class (11%), and a low symptom class (67%). Symptoms of identity confusion were prominent in the posttraumatic bereavement class. Compared with the low symptom class, the combined posttraumatic bereavement class reported greater exposure to traumatic loss events (OR 2.43, 95% CI 1.11–5.34), PMLDs (OR 2.24, 95% CI 1.01–4.6), disruptions to interpersonal bonds and networks (OR 3.3, 95% CI 1.47–7.38), and erosion of roles and identities (OR 2.18, 95% CI 1.11–4.27).

Conclusions

Refugees appear to manifest a combined pattern of complicated bereavement and PTSD symptoms in which identity confusion is a prominent feature. This response appears to reflect the combined impact of high levels of exposure to traumatic losses, PMLDs, and disruption of relevant psychosocial systems.

Information

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2018 
Figure 0

Table 1. Exposure to conflict-related traumatic events (TEs) amongst West Papuan refugees from Kiunga (n = 486).

Figure 1

Table 2. Exposure to postmigration living difficulties (PMLDs) amongst West Papuan refugees from Kiunga (n = 486)

Figure 2

Table 3. Goodness-of-fit statistics for latent class 1 to class 5 models

Figure 3

Table 4. Conditional probabilities for symptoms of complicated bereavement and posttraumatic stress disorder (PTSD): a four-class solution (n = 486)

Figure 4

Table 5. Multinomial logistic regressions examining predictors of latent class memberships (n = 486)

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