Comorbidity in the prediction of cognitive processing therapy treatment outcomes for combat-related posttraumatic stress disorder

Delyth Lloyd, Reginald Nixon, Tracey Varker, Peter Elliott, Des Perry, Richard Bryant, Mark Creamer, David Forbes

    Research output: Contribution to journalArticlepeer-review

    28 Citations (Scopus)

    Abstract

    This paper examines clinical predictors of posttraumatic stress disorder (PTSD) treatment outcomes following Cognitive Processing Therapy (CPT) in Australian military veterans. Fifty nine treatment seeking veterans were enrolled in a randomized controlled trial comparing 12 sessions of CPT (n=30) with usual treatment (n=29) at three community-based veterans counseling centers. PTSD and key co-morbidities (depression, anxiety, anger and alcohol use) were measured. Growth curve modeling was used to examine factors which influenced PTSD severity post-treatment. For the CPT condition, baseline anger was the only co-morbidity predictive of change in PTSD severity over time. Participants with higher anger scores showed less of a decrease in PTSD severity over time. Higher anxiety in participants in treatment as usual was significantly associated with better treatment gains. This research suggests that veterans experiencing high levels of anger might benefit from targeted anger reduction strategies to increase the effectiveness of CPT treatment for PTSD.

    Original languageEnglish
    Pages (from-to)237-240
    Number of pages4
    JournalJournal of Anxiety Disorders
    Volume28
    Issue number2
    DOIs
    Publication statusPublished - Mar 2014

    Keywords

    • Cognitive Processing Therapy
    • Predictors
    • PTSD
    • Trauma
    • Treatment
    • Veterans

    Fingerprint Dive into the research topics of 'Comorbidity in the prediction of cognitive processing therapy treatment outcomes for combat-related posttraumatic stress disorder'. Together they form a unique fingerprint.

    Cite this