Predicting Classes of Functional Trajectories: Malleable Risk Factors

Olin Teague Veterans Center, Temple TX

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Abstract

DESCRIPTION (provided by applicant): There is a well-established relationship between commonly occurring mental health disorders, such as post-traumatic stress disorder, depression, and alcohol use disorders, and poor functional outcomes. However, less is known about long-term functional trajectories among returning Veterans and specific factors that predict who will follow better or worse courses of readjustment. Building upon the successful foundation of our currently RR&D-funded MERIT award, this second submission of our renewal application proposes to continue following the existing carefully-characterized cohort of 300 Veterans who served as part of Operations Enduring and Iraqi Freedom and New Dawn (OEF/OIF/OND) for an additional 2-year period. The sample size will also be expanded to include 500 Veterans. The Specific Aims are to identify clinically relevant, modifiable psychosocial factors that: 1) prospectively predict improvements in long-term functioning and community reintegration over time; (2) predict membership in latent class trajectories of functioning; and (3) predict transitions between classes of functional trajectories. Veterans will complete state-of-the-art diagnostic interviews and self-report questionnaires at baseline and 24-months. Follow-up questionnaires will be mailed at 6-, 12-, and 18-months. Multiple domains of functioning will be evaluated, including occupational, family, social, and physical functioning, as well as community reintegration. The long-term objective of this programmatic line of research is to improve functional outcomes and quality of life of returning OEF/OIF/OND Veterans. In keeping with the VHA's goal of operationalizing principles of recovery and rehabilitation in treatment planning, this research wil provide a platform of empirical data to help guide refinement and further development of meaningful treatment programs to assist OEF/OIF/OND Veterans with optimal post-war readjustment over time. Upon completing the study, data from this project will inform allocation of VA resources and targets for clinical interventions that have the highest probability of ensuring that Veterans recover following deployments to warzones.