Abstract
BackgroundStudies have utilized latent class analysis (LCA) and latent profile analysis (LPA) to examine posttraumatic stress disorder (PTSD) symptom profiles in a range of populations. Further study is needed to explore symptom profiles among women exposed to intimate partner violence (IPV). The current study examined latent symptom profiles in a sample of IPV-exposed women, and explored trauma-related cognitive appraisals associated with these PTSD symptom presentations. MethodsAn LPA was conducted using cross-sectional data from a non-treatment seeking community sample of women recruited following a police-reported incident of IPV by a male perpetrator (N=229). Multinomial regression analyses determined associations between latent profile membership and trauma-related appraisals. ResultsThe LPA identified five PTSD symptom profiles: Low Symptom (46% of the sample); Low Symptom with High Hypervigilance (17%); Intermediate Symptom (16%); Intermediate Symptom with High Hypervigilance (11%); and High Symptom (10%). Trauma-related appraisals, including fear, alienation, and self-blame, were the strongest independent predictors of PTSD symptom profile membership. LimitationsThe study focused on female victims of IPV by a male partner, and findings may not generalize to other gender configurations (e.g. same-sex couples, male victims, etc.). The LPA is cross-sectional, and the stability of these profiles over time warrants further study. ConclusionsThese findings suggest the need for careful consideration of differences among IPV-exposed women within the larger context of PTSD research and clinical intervention. Identifying latent subgroups may provide an empirical basis for practitioners to design and implement PTSD intervention efforts that are tailored to specific symptom profiles.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.