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A Latent Class Analysis on Indicators of Early Prolonged Grief Disorder and Well-Being Among Dutch Adults Bereaved During the First Year of the COVID-19 Pandemic

Authors :
Reitsma, Lyanne
Mooren, Trudy M
Mouthaan, Joanne
Van Hoof, Marie José
Groen, Simon P N
Van Dijk, Iris
Lotzin, Annett
Boelen, Paul A
Lenferink, Lonneke I M
Reitsma, Lyanne
Mooren, Trudy M
Mouthaan, Joanne
Van Hoof, Marie José
Groen, Simon P N
Van Dijk, Iris
Lotzin, Annett
Boelen, Paul A
Lenferink, Lonneke I M
Source :
Clinical Psychology and Psychotherapy vol.31 (2024) date: 2024-08-31 nr.5 [ISSN 1063-3995]
Publication Year :
2024

Abstract

Most studies examining prolonged grief disorder (PGD) in people bereaved during the COVID-19 pandemic are focused on psychopathology. However, mental health encompasses both absence of psychopathology and presence of well-being. This is the first study examining symptom profiles of early PGD and subjective mental well-being in 266 Dutch adults recently bereaved during the pandemic. Early PGD and well-being indicators were assessed with the Traumatic Grief Inventory–Self Report Plus and the World Health Organization–Five Well-Being Index, respectively. Latent class analysis identified four classes: low PGD/high well-being (32%), low PGD/moderate well-being (24%), moderate PGD/high well-being (23%) and high PGD/low well-being class (21%). People in the poorer mental health classes were more likely to be female, lower educated, suffering from a mental disorder, have a poor health status, closer kinship to the deceased, and higher risk of severe COVID-19. Classifying adults according to symptom profiles of negative and positive outcomes provides a more complete picture of mental health in bereaved people and offers potential intervention targets.

Details

Database :
OAIster
Journal :
Clinical Psychology and Psychotherapy vol.31 (2024) date: 2024-08-31 nr.5 [ISSN 1063-3995]
Notes :
DOI: 10.1002/cpp.3054, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1477825411
Document Type :
Electronic Resource