Literature DB >> 25702604

PTSD symptom presentation across the deployment cycle.

Maria M Steenkamp1, Alyssa M Boasso2, William P Nash3, Jonathan L Larson2, Rebecca E Lubin2, Brett T Litz4.   

Abstract

BACKGROUND: Symptom-level variation in posttraumatic stress disorder (PTSD) has not yet been examined in the early post-deployment phase, but may be meaningful etiologically, prognostically, and clinically.
METHODS: Using latent class analysis (LCA), we examined PTSD symptom heterogeneity in a cohort of participants from the Marine Resiliency Study (MRS), a longitudinal study of combat Marines deployed to Iraq and Afghanistan (N=892). Typologies of PTSD symptom presentation were examined at one month pre-deployment and again one, five, and eight months post-deployment.
RESULTS: Heterogeneity in PTSD symptom presentation was evident at each assessment point, and the degree of symptom heterogeneity (i.e., the number of classes identified) differed by time point. Symptom patterns stabilized over time from notable symptom fluctuations during the early post-deployment period to high, medium, and low symptom severity by eight months post-deployment. Hypervigilance and exaggerated startle were frequently endorsed by participants in the initial month post-deployment. Flashbacks, amnesia, and foreshortened future were infrequently endorsed. Greater combat exposure, lifespan trauma, and avoidant coping generally predicted worse outcomes. LIMITATIONS: Data were self-report and may have limited generalizability due to our lack of women and inclusion of only combat Marines. Attrition and re-ranging of data resulted in significant missing data and affected the representativeness of the sample.
CONCLUSIONS: Symptom-level variability is highest in the month following deployment and then stabilizes over time. Should post-deployment assessments occur too soon, they may capture common and transient early post-deployment reactions, particularly anxious arousal. Published by Elsevier B.V.

Entities:  

Keywords:  Afghanistan; Combat; Latent class; Military; PTSD; Symptoms

Mesh:

Year:  2015        PMID: 25702604     DOI: 10.1016/j.jad.2015.01.043

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  6 in total

1.  Machine Learning Methods to Evaluate the Depression Status of Chinese Recruits: A Diagnostic Study.

Authors:  Mengxue Zhao; Zhengzhi Feng
Journal:  Neuropsychiatr Dis Treat       Date:  2020-11-12       Impact factor: 2.570

2.  Latent classes of PTSD symptoms in veterans undergoing residential PTSD treatment.

Authors:  Rebecca K Sripada; Rani Hoff; Paul N Pfeiffer; Dara Ganoczy; Frederic C Blow; Kipling M Bohnert
Journal:  Psychol Serv       Date:  2018-10-04

3.  Longitudinal patterns of PTSD symptom classes among US National Guard service members during reintegration.

Authors:  Kipling M Bohnert; Rebecca K Sripada; Dara Ganoczy; Heather Walters; Marcia Valenstein
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2018-06-09       Impact factor: 4.328

4.  Prediction of Possible Biomarkers and Novel Pathways Conferring Risk to Post-Traumatic Stress Disorder.

Authors:  Kumaraswamy Naidu Chitrala; Prakash Nagarkatti; Mitzi Nagarkatti
Journal:  PLoS One       Date:  2016-12-20       Impact factor: 3.240

5.  A latent profile analysis of PTSD symptoms among UK treatment seeking veterans.

Authors:  D Murphy; J Ross; W Busuttil; N Greenberg; C Armour
Journal:  Eur J Psychotraumatol       Date:  2019-01-21

6.  The aftermath of terrorism: posttraumatic stress and functional impairment after the 2011 Oslo bombing.

Authors:  Øivind Solberg; Ines Blix; Trond Heir
Journal:  Front Psychol       Date:  2015-08-07
  6 in total

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