Abstract
Background: This study sought to test the distinctiveness of symptoms of prolonged grief disorder (PGD) from posttraumatic stress disorder (PTSD) and depression.
Methods: Confirmatory factor analysis (CFA) and target exploratory factor analysis (EFA), were used to test the distinctiveness of PGD from PTSD and depression symptoms in a large sample of adults bereaved for at least six months (N = 1,917). Identified factors were explored in relation to demographic (i.e., age, gender) and loss-related (i.e., time since bereavement, nature of death, relationship to deceased, age of deceased, and frequency of contact with deceased) correlates.
Results: The CFA model provided a good fit to the data, while the target EFA provided a slightly improved fit. All items loading strongly and significantly onto their respectively factors, and the IGQ items had few significant cross-factor loadings. All demographic and loss-related variables (except for death of a sibling and death from other causes) were associated with each of the factors, however, these associations were strongest for the PGD factor.
Limitations: Participants were recruited using a non-probability sampling method and were from a relatively affluent Western nation.
Conclusion: Findings from the current study demonstrate that PGD reflects an empirically distinguishable albeit related disorder to PTSD and depression in a sample of bereaved adults. The identification of correlates common to PGD, PTSD, and depression, as well as those unique to PGD, affords a comprehensive understanding of the risk factors associated with bereavement-related psychopathology.
Methods: Confirmatory factor analysis (CFA) and target exploratory factor analysis (EFA), were used to test the distinctiveness of PGD from PTSD and depression symptoms in a large sample of adults bereaved for at least six months (N = 1,917). Identified factors were explored in relation to demographic (i.e., age, gender) and loss-related (i.e., time since bereavement, nature of death, relationship to deceased, age of deceased, and frequency of contact with deceased) correlates.
Results: The CFA model provided a good fit to the data, while the target EFA provided a slightly improved fit. All items loading strongly and significantly onto their respectively factors, and the IGQ items had few significant cross-factor loadings. All demographic and loss-related variables (except for death of a sibling and death from other causes) were associated with each of the factors, however, these associations were strongest for the PGD factor.
Limitations: Participants were recruited using a non-probability sampling method and were from a relatively affluent Western nation.
Conclusion: Findings from the current study demonstrate that PGD reflects an empirically distinguishable albeit related disorder to PTSD and depression in a sample of bereaved adults. The identification of correlates common to PGD, PTSD, and depression, as well as those unique to PGD, affords a comprehensive understanding of the risk factors associated with bereavement-related psychopathology.
| Original language | English |
|---|---|
| Pages (from-to) | 214-220 |
| Number of pages | 7 |
| Journal | Journal of Affective Disorders |
| Volume | 363 |
| Early online date | 22 Jul 2024 |
| DOIs | |
| Publication status | Published (in print/issue) - 30 Oct 2024 |
Bibliographical note
Publisher Copyright:© 2024 The Author(s)
Data Availability Statement
Neither the data nor the materials have been made available on apermanent third-party archive
Funding
No funding associated with this study
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Keywords
- Prolonged Grief Disorder; Depression; Posttraumatic Stress Disorder
- Depression
- Posttraumatic stress disorder
- Prolonged grief disorder
Fingerprint
Dive into the research topics of 'Testing the distinctiveness of prolonged grief disorder from posttraumatic stress disorder and depression in large bereaved community samples'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver