TY - JOUR
T1 - Latent class growth analyses reveal overrepresentation of dysfunctional fear conditioning trajectories in patients with anxiety-related disorders compared to controls
AU - Duits, P.uck
AU - Baas, J.M.P.
AU - Engelhard, I.M.
AU - Richter, J.
AU - Huisman - van Dijk, H.M.
AU - Limberg-Thiesen, A.
AU - Heitland, I.
AU - Hamm, A.O.
AU - Cath, D.C.
N1 - Publisher Copyright:
© 2021
PY - 2021/3
Y1 - 2021/3
N2 - 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.
AB - 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.
KW - Anxiety disorders
KW - Cognitive Behavioral Therapy (CBT)
KW - Fear conditioning
KW - Fear extinction
KW - Latent class growth analyses (LCGA)
KW - Latent trajectories
KW - Treatment outcome
U2 - 10.1016/j.janxdis.2021.102361
DO - 10.1016/j.janxdis.2021.102361
M3 - Article
C2 - 33508747
AN - SCOPUS:85099814270
SN - 0887-6185
VL - 78
JO - Journal of Anxiety Disorders
JF - Journal of Anxiety Disorders
M1 - 102361
ER -