An examination of the mental health and academic performance of student veterans.

Objective: The purpose of this study was to provide a more comprehensive look into the demographics of the veteran student subpopulation while exploring the relationship between the mental health of student veterans and their academic performance. Methods: A nationwide anonymous survey was distributed to student veterans who were enrolled in postsecondary institutions. Results: A large number of participants reported distress with symptoms of PTSD, depression, sleep disturbances, and/or suicidal ideation and attempts, and screened likely for mental health problems in these areas. Participants also endorsed academic problems ranging from the ability to stay focused to failing tests and quizzes. Additional findings demonstrated a positive association between GPA and both PTSD and depression. Conclusion: These findings can be used as a platform upon which to begin the discussion on the implications for mental health professionals, administrators, and educators.

Examining the DSM-5 latent structures of posttraumatic stress disorder in a national sample of student veterans.

To date, no studies have examined the latent structures of posttraumatic stress disorder (PTSD) within a sample of student veterans. To examine these constructs in a student veteran sample (n = 297), confirmatory factor analysis (CFA) was conducted on six different models of PTSD, including a one-factor model, based on the 20 symptoms found in the DSM-5; PTSD was assessed using the PCL-5. Global fit statistics suggest that fit across all models, including the 1-factor model, were good [RMSEAs(0.054-0.056); CFIs(0.928-0.940); SRMRs(0.043-0.045)], and the AIC was lowest for the seven-factor hybrid model. Statistical tests and fit guidelines for nested models suggest there is no quantitative advantage of a five, six, or seven-factor model over the existing DSM-5 four-factor model. Given the high percentage of student veterans that screened positive for a probable PTSD diagnosis (53 %) in this study compared to non-student veterans (11-20 %) and the general student population (11-15 %) found in other studies, further research is needed to assess the clinical utility of these symptoms and model structures.