Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6812193 | Psychiatry Research | 2017 | 25 Pages |
Abstract
This study investigated comorbidity patterns in treatment-seeking veterans and currently-serving Canadian Forces members of an outpatient mental health clinic from September 2006-September 2014. Using a retrospective cohort design, latent class analysis was conducted to determine latent classes of comorbidity (including posttraumatic stress disorder [PTSD], major depressive disorder [MDD], generalized anxiety disorder, panic disorder, and alcohol use disorder [AUD]). Multiple logistic regression was used to determine which covariates (age, gender, number of deployments, and service duration) were predictors of latent class membership. Among the 486 participants, 79.2% had more than one probable mental health condition. The most common comorbidity was PTSD and MDD (61.5%), followed by PTSD and GAD (52.3%). Among those with PTSD, almost all (95%) had a subsequent condition, predominantly MDD (82.6% of those with PTSD had MDD). A two-class model was the best fitting model with a high comorbidity and a low comorbidity class. Older age and shorter service duration significantly increased the probability of being in the high comorbidity class when not controlling for member status. Results showed that treatment-seeking veterans and military personnel have high rates of comorbidity, particularly alongside PTSD. Therefore, it is critical for clinicians to be able to assess and treat comorbidity.
Related Topics
Life Sciences
Neuroscience
Biological Psychiatry
Authors
J. Don Richardson, F. Ketcheson, L. King, P. Shnaider, M. Marlborough, A. Thompson, J.D. Elhai,