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Trajectories of grief, depression, and posttraumatic stress in disaster-bereaved people.

Authors :
Lenferink LIM
Nickerson A
de Keijser J
Smid GE
Boelen PA
Source :
Depression and anxiety [Depress Anxiety] 2020 Jan; Vol. 37 (1), pp. 35-44. Date of Electronic Publication: 2018 Oct 19.
Publication Year :
2020

Abstract

Background: Previous latent trajectory studies in adult bereaved people have identified individual differences in reactions postloss. However, prior findings may not reflect the complete picture of distress postloss, because they were focused on depression symptoms following nonviolent death. We examined trajectories of symptom-levels of persistent complex bereavement disorder (PCBD), depression, and posttraumatic stress disorder (PTSD) in a disaster-bereaved sample. We also investigated associations among these trajectories and background and loss-related factors, psychological support, and previous mental health complaints.<br />Methods: Latent class growth modeling was used to identify distinct trajectories of PCBD, depression, and PTSD symptoms in people who lost loved ones in a plane disaster in 2014. Participants (N = 172) completed questionnaires for PCBD, depression, and PTSD at 11, 22, 31, and 42 months postdisaster. Associations among class membership and background and loss-related variables, psychological support, and previous mental health complaints were examined using logistic regression analyses.<br />Results: Two PCBD classes emerged: mild (81.8%) and chronic (18.2%) PCBD. For both depression and PTSD, three classes emerged: mild (85.6% and 85.2%), recovered (8.2% and 4.4%), and chronic trajectory (6.2% and 10.3%). People assigned to the chronic PCBD, depression, or PTSD class were less highly educated than people assigned to the mild/recovered classes.<br />Conclusions: This is the first latent trajectory study that offers insights in individual differences in longitudinal symptom profiles of PCBD, depression, and PTSD in bereaved people. We found support for differential trajectories and predictors across the outcomes.<br /> (© 2018, The Authors. Depression and Anxiety published by Wiley Periodicals, Inc.)

Details

Language :
English
ISSN :
1520-6394
Volume :
37
Issue :
1
Database :
MEDLINE
Journal :
Depression and anxiety
Publication Type :
Academic Journal
Accession number :
30339302
Full Text :
https://doi.org/10.1002/da.22850