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PREDICTORS OF POST-TRAUMATIC STRESS DISORDER IN MILITARY PERSONNEL DEPLOYED TO PEACEKEEPING MISSIONS
G Sikharulidze1, T Oniani1, N Gugushvili1
1Ministry of Defense of Georgia, Psychological Recruitment and Monitoring Department; I. Javakhishvili Tbilisi State University, Medical Faculty; Psychiatry Department, Leiden University, Netherland.
Georgian military personnel deployed in peacekeeping missions experience high rates of PTSD, depression, and anxiety. Depression symptoms were found to be a significant predictor of post-traumatic stress disorder (PTSD).
Area of Science:
- Military mental health
- Psychotraumatology
- Epidemiology of mental disorders
Background:
- Post-traumatic stress disorder (PTSD), depression, and anxiety are significant mental health concerns in armed forces.
- High comorbidity among these disorders complicates diagnosis and treatment.
- Limited data exists on mental health issues within Georgian military personnel involved in peacekeeping missions.
Purpose of the Study:
- To investigate the prevalence and associations of PTSD, depression, and anxiety symptoms in Georgian military personnel.
- To identify predictors of PTSD in this population.
Main Methods:
- A cross-sectional study was conducted with 2810 male Georgian military personnel after a 6-month deployment.
- Self-report scales were used: PTSD Checklist for DSM-5 (PCL-5) for PTSD, and Patient Health Questionnaire (PHQ) for depression and anxiety.
- Regression analyses were performed to examine the relationships between symptoms.
Main Results:
- Both depression and anxiety symptoms independently predicted PTSD.
- In a combined regression model, only depression symptom severity significantly predicted PTSD.
- A subset of participants (n=69) with a younger average age (M=29.68) was noted, limiting generalizability.
Conclusions:
- Depression is a significant factor to consider in military personnel experiencing PTSD.
- Clinicians should screen for depression in patients with PTSD to manage comorbidity effectively.
- Findings suggest a need for further research with broader demographics and validated diagnostic tools.
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