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Profiles of fluctuating prolonged grief disorder reactions using experience sampling data.
Sofia Marcolini1, Justina Pociūnaitė-Ott2, Peter Ten Klooster2
1Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Journal of Psychiatric Research
|October 24, 2025
Summary
Prolonged grief disorder (PGD) shows varied daily fluctuations even at similar severity levels. Identifying these distinct PGD profiles can personalize bereavement care.
Area of Science:
- Psychology
- Psychiatry
- Grief Research
Background:
- Prolonged grief disorder (PGD) involves intense grief reactions impacting daily life after losing a significant other.
- Experience sampling methodology (ESM) offers a novel approach to study PGD dynamics using FAIR data principles.
Purpose of the Study:
- To identify latent profiles of PGD severity and fluctuation using ESM data.
- To explore predictors of these PGD profiles, including demographic, loss-related, and psychopathological factors.
Main Methods:
- 228 bereaved adults completed PGD assessments five times daily for two weeks via ESM.
- Latent profile analysis identified profiles based on PGD mean, standard deviation, autocorrelation (inertia), and successive differences (instability).
Main Results:
- Five distinct PGD profiles emerged, varying in severity, inertia, and fluctuation.
- Key predictors for profile membership included gender, time since loss, and baseline psychopathology.
Conclusions:
- Different fluctuation patterns exist in PGD, even at similar severity levels, highlighting the value of ESM for understanding grief dynamics.
- Identifying these individual PGD profiles can inform personalized bereavement care strategies.
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