Support for a novel five-factor model of posttraumatic stress symptoms in three independent samples of Iraq/Afghanistan veterans: A confirmatory factor analytic study

Robert H. Pietrzak, Jack Tsai, Ilan Harpaz-Rotem, Julia M. Whealin, Steven M. Southwick

Research output: Contribution to journalArticlepeer-review

103 Scopus citations

Abstract

Background: A large body of confirmatory factor analytic studies of posttraumatic stress disorder (PTSD) symptoms has demonstrated the superiority of 4-factor dysphoria and emotional numbing models over the DSM-IV model. Recently, a novel 5-factor model, which separates the DSM-IV hyperarousal symptom cluster into distinct dysphoric and anxious arousal clusters, has been identified. However, little research has evaluated the best-fitting representation of PTSD symptoms in veterans of the Iraq and Afghanistan wars. Methods: Confirmatory factor analyses were used to examine the factor structure of the PTSD Checklist in three independent samples of Iraq/Afghanistan veterans, including two community samples and a treatment-seeking sample. Results: In all three samples, a novel model with five correlated factors reflecting symptoms of re-experiencing, avoidance, emotional numbing, dysphoric arousal, and anxious arousal provided a significantly better representation of PTSD symptoms than the DSM-IV, dysphoria, and numbing models. This model also showed evidence of "excellent fit" in the community samples according to empirically-defined benchmarks. Conclusions: These findings suggest that PTSD symptomatology in both community and treatment-seeking Iraq/Afghanistan veterans may be best represented by a 5-factor model that separates the DSM-IV PTSD hyperarousal symptom cluster into distinct dysphoric arousal and anxious arousal clusters.

Original languageEnglish
Pages (from-to)317-322
Number of pages6
JournalJournal of Psychiatric Research
Volume46
Issue number3
DOIs
StatePublished - Mar 2012
Externally publishedYes

Keywords

  • Hyperarousal
  • Posttraumatic stress disorder
  • Veterans

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