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Latent class growth analyses reveal overrepresentation of dysfunctional fear conditioning trajectories in patients with anxiety-related disorders compared to controls
Abstract
Recent meta-analyses indicated differences in fear acquisition and extinction between patients with anxiety-related disorders and comparison subjects. However, these effects are small and may hold for only a subsample of patients. To investigate individual trajectories in fear acquisition and extinction across patients with anxiety-related disorders (N = 104; before treatment) and comparison subjects (N = 93), data from a previous study (Duits et al., 2017) were re-analyzed using data-driven latent class growth analyses. In this explorative study, subjective fear ratings, shock expectancy ratings and startle responses were used as outcome measures. Fear and expectancy ratings, but not startle data, yielded distinct fear conditioning trajectories across participants. Patients were, compared to controls, overrepresented in two distinct dysfunctional fear conditioning trajectories: impaired safety learning and poor fear extinction to danger cues. The profiling of individual patterns allowed to determine that whereas a subset of patients showed trajectories of dysfunctional fear conditioning, a significant proportion of patients (≥50 %) did not. The strength of trajectory analyses as opposed to group analyses is that it allows the identification of individuals with dysfunctional fear conditioning. Results suggested that dysfunctional fear learning may also be associated with poor treatment outcome, but further research in larger samples is needed to address this question.
Publication Type
Article
Author • • • • • • •
Duits, Puck
Baas, Johanna M.P.
Engelhard, Iris M.
Huisman-van Dijk, Hilde M.
Limberg-Thiesen, Anke
Heitland, Ivo
Hamm, Alfons O.
Cath, Danielle C.
Date Issued
January 18, 2021
Faculty
Externe Einrichtung
Institute / Institution
Externe Einrichtung
Journal Title
Journal of Anxiety Disorders
Volume
78
Page Start
1
Page End
10
Article Number
102361
ISSN
0887-6185
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