ArticlePsychiatry research2025
Identification of a subgroup of post-9/11 veterans with unique combat experiences and worse clinical outcomes.
Article in Psychiatry research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
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Authors and funding
6 authors.
Funding
Abstract
objectivesPrior studies have examined the influence of military deployments and combat exposure on post-9/11 Veterans' health and well-being. Fewer studies, however, have focused on the extent to which specific combat experiences relate to clinical outcomes in this Veteran cohort. We sought to identify distinct groups of post-9/11 Veterans based on their combat experience profiles and examine the relationship between combat experiences and clinical outcomes.
methodsWe used data from 21,995 deployed, combat-exposed, Iraq/Afghanistan-era Veterans who enrolled in the VA Million Veteran Program (MVP). Combat experiences were evaluated using the "Combat Experiences Scale" from the Deployment Risk and Resilience Inventory.
resultsWe identified five distinct subgroups of Veterans, one of which was characterized by high frequency of exposure across all types of combat experiences. These Veterans had worse self-reported mental health symptoms, cognitive symptoms, and perceptions of their own health compared to other Veterans. Generalized linear models adjusting for age, sex, race, and ethnicity demonstrated that combat and TBI history were independently associated with worse clinical outcomes, with Veterans in the high-combat/TBI history group reporting the poorest functioning.
conclusionsOur findings highlight the utility of examining specific combat experiences to identify at-risk post-9/11 Veterans. These findings could facilitate the development of empirically-informed supportive measures to intervene earlier in the post-deployment period and improve clinical outcomes. Future studies to better characterize this at-risk Veteran group using genetic data available through MVP will further inform these prediction models.
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