Complicated grief and post-traumatic stress symptom profiles in bereaved earthquake survivors: a latent class analysis

Autor: Maarten C. Eisma, Lonneke I. M. Lenferink, Amy Y. M. Chow, Cecilia L. W. Chan, Jie Li
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: European Journal of Psychotraumatology, Vol 10, Iss 1 (2019)
Druh dokumentu: article
ISSN: 2000-8066
20008198
DOI: 10.1080/20008198.2018.1558707
Popis: Background: Studies on mental health following disasters have primarily focused on post-traumatic stress disorder (PTSD), yet severe, enduring, and disabling grief [i.e. complicated grief (CG)] also appears relevant. Objective: The present study examines symptom profiles of PTSD and CG among bereaved Sichuan earthquake survivors 1 year after the disaster. Method: Self-report measures of demographic, disaster, and loss-related characteristics and symptoms of PTSD and CG were administered among 803 survivors (63% women; mean age = 46.7 years). Latent class analysis (LCA) was performed to identify subgroups of people with different PTSD and CG symptom profiles. Results: The LCA demonstrated that a five-class solution yielded the best fit, consisting of a CG class with low PTSD and high CG (N = 208), a combined class with high PTSD and high CG (N = 205), a class with low PTSD and partial CG (N = 145), a class with partial PTSD and CG (N = 136), and a resilient class with low PTSD and CG (N = 108). Being a woman (vs man), losing a child or spouse (vs other), being injured (vs non-injured), and/or having a missing family member (vs non-missing) predicted membership of the CG class compared to other classes. Conclusions: CG appears to be a unique consequence of disasters involving many casualties. Disaster survivors should be screened for CG and provided with appropriate psychological treatment.
Databáze: Directory of Open Access Journals
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