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A latent growth mixture modeling approach to PTSD symptoms in rape victims.

Armour, Cherie, Shevlin, Mark, Elklit, Ask and Mroczek, Dan (2012) A latent growth mixture modeling approach to PTSD symptoms in rape victims. Traumatology, 18 (1). pp. 20-28. [Journal article]

[img] Text - Accepted Version

URL: http://dx.doi.org/10.1177/1534765610395627

DOI: doi:10.1177/1534765610395627


The research literature has suggested that longitudinal changes in posttraumatic stress disorder (PTSD) could be adequately described in terms of one universal trajectory, with individual differences in baseline levels (intercept) and rate of change (slope) being negligible. However, not everyone who has experienced a trauma is diagnosed with PTSD, and symptom severity levels differ between individuals exposed to similar traumas. The current study employed the latent growth mixture modeling technique to test for multiple trajectories using data from a sample of Danish rape victims (N = 255). In addition, the analysis aimed to determine whether a number of explanatory variables could differentiate between the trajectories (age, acute stress disorder [ASD], and perceived social support). Results concluded the existence of two PTSD trajectories. ASD was found to be the only significant predictor of one trajectory characterized by high initial levels of PTSD symptomatology. The present findings confirmed the existence of multiple trajectories with regard to PTSD symptomatology in a way that may be useful to clinicians working with this population.

Item Type:Journal article
Keywords:posttraumatic stress disorder; longitudinal changes; LGMM; acute stress disorder; social support
Faculties and Schools:Faculty of Life and Health Sciences
Faculty of Life and Health Sciences > School of Psychology
Research Institutes and Groups:Psychology Research Institute > Population Health Sciences and Mental Health Services
Psychology Research Institute
ID Code:33092
Deposited By: Prof Cherie Armour
Deposited On:08 Mar 2016 16:28
Last Modified:17 Oct 2017 16:20

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