An investigation of PTSD's core dimensions and relations with anxiety and depression.

Brianna M. Byllesby, Tory A. Durham, David Forbes, Cherie Armour, Jon D. Elhai

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

Objective: Posttraumatic stress disorder (PTSD) is highly comorbid with anxiety and depressive disorders, which is suggestive of shared variance or common underlying dimensions. The purpose of the present study was to examine the relationship between the latent factors of PTSD with the constructs of anxiety and depression in order to increase understanding of the co-occurrence of these disorders. Method: Data were collected from a nonclinical sample of 186 trauma-exposed participants using the PTSD Checklist and Hospital Anxiety and Depression Scale. Confirmatory factor analyses were conducted to determine model fit comparing 3 PTSD factor structure models, followed by Wald tests comparing the relationships between PTSD factors and the core dimensions of anxiety and depression. Results: In model comparisons, the 5-factor dysphoric arousal model of PTSD provided the best fit for the data, compared to the emotional numbing and dysphoria models of PTSD. Compared to anxious arousal, the dysphoric arousal and numbing factors of PTSD were more related to depression severity. Numbing, anxious arousal, and dysphoric arousal were not differentially related to the latent anxiety factor. Conclusions: The underlying factors of PTSD contain aspects of the core dimensions of both anxiety and depression. The heterogeneity of PTSD’s associations with anxiety and depressive constructs requires additional empirical exploration because clarification regarding these relationships will impact diagnostic classification as well as clinical practice.
Original languageEnglish
Pages (from-to)214-217
JournalPsychological Trauma: Theory, Research, Practice, and Policy
Volume8
Issue number2
DOIs
Publication statusPublished - 2016

Keywords

  • posttraumatic stress disorder
  • anxiety
  • depression
  • factor analysis

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