Elsevier

Journal of Psychiatric Research

Volume 83, December 2016, Pages 54-60
Journal of Psychiatric Research

Posttraumatic stress symptoms across the deployment cycle: A latent transition analysis

https://doi.org/10.1016/j.jpsychires.2016.08.002Get rights and content

Abstract

Our objective was to examine symptom-level changes in the course in posttraumatic stress disorder (PTSD) across the deployment cycle among combat-exposed Marines, and to determine the degree to which combat exposure and post-deployment stressor exposure predicted PTSD symptom profile transitions. We examined PTSD symptoms in a cohort of U.S. Marines (N = 892) recruited for the Marine Resiliency Study (MRS). Marines deployed as one battalion infantry unit to Afghanistan in 2010 and were assessed pre-deployment and one, five, and eight months post-deployment. We employed latent transition analysis (LTA) to examine Marines' movement across PTSD symptom profiles, determined by latent class analysis (LCA). LCAs revealed a 3-class solution one month pre-deployment, a 4-class solution at five months post-deployment, and a 3-class solution at eight months post-deployment. LTA revealed notable movement between classes over time, which depended chiefly on pre-deployment symptom presentation. Marines who reported few pre-deployment symptoms either maintained these low levels or returned to low levels by eight months. Marines who reported a moderate number of symptoms at pre-deployment had variable outcomes; 50% had reductions by eight months, and those who reported numbing symptoms at five months post-deployment tended to report more symptoms at eight months. Marines who reported more PTSD symptoms prior to deployment retained more symptoms eight months post-deployment. Combat exposure and post-deployment stressor exposure predicted profile transitions. Examining transitions between latent class membership over time revealed prognostic information about Marines' eight-month PTSD outcomes. The extent of pre-deployment PTSD symptoms was particularly informative of likely PTSD outcomes.

Section snippets

Design and participants

The data source for this study was the Marine Resiliency Study (MRS), a longitudinal study of four battalion cohorts of active-duty male Marines deployed to Iraq and Afghanistan between 2008 and 2012 (Baker et al., 2012). For the current report we analyzed Marines who deployed with the fourth battalion (Cohort 4). Cohort 4 was the largest cohort (N = 892), had more evenly spaced modal assessment periods across the deployment cycle, and reported the greatest combat experiences of any MRS cohort,

Results

Table 1 shows the model fit statistics for each cross-section. At T0, the Consistent Akaike's Information Criteria (CAIC) and the Bayesian Information Criterion (BIC) favored a 3-class solution, whereas the Sample Size Adjusted BIC (SSA-BIC) indicated that a 5-class solution was a comparatively better fit to the data; consequently we selected the 3-class solution. At T2, the 3-class solution had the lowest CAIC and BIC (which given the sample size, would have a 92% likelihood of

Discussion

We used LTA to examine changes in clinically significant PTSD symptoms at three time points across the deployment cycle. Three PTSD symptom classes were evident at one month pre-deployment, four at five months post-deployment, and three at eight months post-deployment. This heterogeneity in symptom presentation across assessment points may reflect the varied stressors and emotional demands associated with different phases of the deployment cycle, for example, the demands of preparing to deploy

Contributions

Alyssa Boasso: Manuscript writing and Statistics.

Maria M. Steenkamp: Manuscript Writing.

Jonathan L. Larson: Statistics and Manuscript Writing.

Brett T. Litz: Manuscript Writing.

Acknowledgements

The authors acknowledge the Marine Resiliency Study (MRS) team who made this work possible. This study was funded by VA Health Service Research and Development (SDR 09-0128) and by the U.S. Marine Corps and Navy Bureau of Medicine and Surgery.

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