Literature DB >> 34487354

Symptom variability in depersonalization-derealization disorder: A latent profile analysis.

L S Merritt Millman1, Elaine C M Hunter2, Guido Orgs1, Anthony S David2, Devin B Terhune1.   

Abstract

OBJECTIVE: Depersonalization-derealization disorder (DDD) is characterized by diverse symptomatology overlapping with anxiety and dissociative disorders, but the sources of this variability are poorly understood. This study aims to determine whether symptom heterogeneity is attributable to the presence of latent subgroups.
METHOD: We applied latent profile analysis to psychometric measures of anxiety, depersonalization-derealization, and dissociation in 303 DDD patients.
RESULTS: The analysis yielded evidence for five discrete subgroups: three of varying severity levels and two moderate-to-severe classes characterized by differential dissociative symptoms. The five classes reliably differed on several nondissociative symptoms, comorbidities, and factors precipitating their diagnosis but did not significantly differ in other symptoms including anxiety.
CONCLUSION: These results suggest the presence of three distinct DDD subtypes in the upper severity range that are distinguished by differential expression of detachment and compartmentalization symptoms. Further elucidation of these subtypes has potential implications for the etiology, mechanisms, and treatment of DDD.
© 2021 Wiley Periodicals LLC.

Entities:  

Keywords:  anxiety; depersonalization-derealization disorder; dissociation; heterogeneity; latent profile analysis

Mesh:

Year:  2021        PMID: 34487354     DOI: 10.1002/jclp.23241

Source DB:  PubMed          Journal:  J Clin Psychol        ISSN: 0021-9762


  2 in total

1.  I overthink-Therefore I am not: An active inference account of altered sense of self and agency in depersonalisation disorder.

Authors:  Anna Ciaunica; Anil Seth; Jakub Limanowski; Casper Hesp; Karl J Friston
Journal:  Conscious Cogn       Date:  2022-04-28

2.  Zoomed out: digital media use and depersonalization experiences during the COVID-19 lockdown.

Authors:  Anna Ciaunica; Luke McEllin; Julian Kiverstein; Vittorio Gallese; Jakob Hohwy; Mateusz Woźniak
Journal:  Sci Rep       Date:  2022-03-10       Impact factor: 4.379

  2 in total

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