Abstract
The study aims to identify latent profiles of indices of fluctuation in prolonged grief disorder (PGD) intensity using experience sampling methodology (ESM) data from a novel Findable, Findable, Accessible, Interoperable, and Reusable (FAIR) data archive. These profiles could help predict different grief phenotypes.
Dutch and German bereaved adults (N=228) completed PGD items 5x/day for two weeks using ESM; clinical interviews preceded the ESM period. Latent profile analyses were run to identify phenotypes of fluctuating grief responses using person-specific indicators derived from ESM-items assessing PGD: mean, standard deviation, autocorrelation indicating emotional inertia, and the root
mean square of successive differences indicating stability. The following profile-predictors were explored: demographic and loss-related characteristics, and interview-based psychopathology levels at baseline.
Five profiles were identified: moderate PDG/low inertia/moderate fluctuation (46%), moderate PDG/low inertia/high f
Dutch and German bereaved adults (N=228) completed PGD items 5x/day for two weeks using ESM; clinical interviews preceded the ESM period. Latent profile analyses were run to identify phenotypes of fluctuating grief responses using person-specific indicators derived from ESM-items assessing PGD: mean, standard deviation, autocorrelation indicating emotional inertia, and the root
mean square of successive differences indicating stability. The following profile-predictors were explored: demographic and loss-related characteristics, and interview-based psychopathology levels at baseline.
Five profiles were identified: moderate PDG/low inertia/moderate fluctuation (46%), moderate PDG/low inertia/high f
Original language | English |
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Publication status | Published - 3 Oct 2024 |
Event | 2024 ESM Expert Network Meeting - Heerlen, Netherlands Duration: 3 Oct 2024 → 4 Oct 2024 |
Conference
Conference | 2024 ESM Expert Network Meeting |
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Country/Territory | Netherlands |
City | Heerlen |
Period | 3/10/24 → 4/10/24 |