Joint models targeting U.S. Army soldiers at high-risk of post-separation unemployment, homelessness, and suicide-related behaviors

Transitioning service members (TSMs) leaving military service have high risks of unemployment, homelessness, nonfatal suicide attempt (SA), and suicide death. Data from n = 7188 recently separated TSMs from the U.S. Army were used to update previously developed models for post-separation homelessness and SA based on data at the time of separation and to develop a new unemployment model. Predicted probabilities of suicide from a model developed elsewhere were imputed for comparison purposes. Cross-validated predictions were significant for the homelessness (AU-ROC = 0.68) and SA (AU-ROC = 0.78) models but not the unemployment model (AU-ROC = 0.60). Elevated cross-validated risk was found for the 10% of TSMs at the highest predicted risk of homelessness (SN = 26.6%), 20% for SA (SN = 60.9%), and 10% for suicide death (SN = 34.1%). 28% of TSMs were in the highest risk categories for at least one and 10% for more than one outcome. Findings regarding incomplete overlap highlight the complexities of risk targeting when multiple outcomes are of interest.

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Publication Details

Journal
npj Mental Health Research
Published
2026-02-12
DOI
https://doi.org/10.1038/s44184-026-00192-8
Primary Topic
Homelessness and Social Issues
Type
article
Field-Weighted Citation Impact
0.00

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article

Joint models targeting U.S. Army soldiers at high-risk of post-separation unemployment, homelessness, and suicide-related behaviors

Joseph C. Geraci, Shelby Borowski, Vincent F. Capaldi, Sarah M. Gildea et al.
npj Mental Health Research
Homelessness and Social Issues
article

Joint models targeting U.S. Army soldiers at high-risk of post-separation unemployment, homelessness, and suicide-related behaviors

Joseph C. Geraci, Shelby Borowski, Vincent F. Capaldi, Sarah M. Gildea, Eric Edwards, David M. Benedek, C.J. Kennedy, Howard Y. Liu, Irving Hwang, Matthew K. Nock, Robert J. Ursano, Ronald C. Kessler, Nancy A. Sampson, James A. Naifeh, Murray B. Stein, Alex Luedtke, James Wagner
article en

Abstract

Transitioning service members (TSMs) leaving military service have high risks of unemployment, homelessness, nonfatal suicide attempt (SA), and suicide death. Data from n = 7188 recently separated TSMs from the U.S. Army were used to update previously developed models for post-separation homelessness and SA based on data at the time of separation and to develop a new unemployment model. Predicted probabilities of suicide from a model developed elsewhere were imputed for comparison purposes. Cross-validated predictions were significant for the homelessness (AU-ROC = 0.68) and SA (AU-ROC = 0.78) models but not the unemployment model (AU-ROC = 0.60). Elevated cross-validated risk was found for the 10% of TSMs at the highest predicted risk of homelessness (SN = 26.6%), 20% for SA (SN = 60.9%), and 10% for suicide death (SN = 34.1%). 28% of TSMs were in the highest risk categories for at least one and 10% for more than one outcome. Findings regarding incomplete overlap highlight the complexities of risk targeting when multiple outcomes are of interest.

npj Mental Health ResearchVol. 5(1)
Henry M. Jackson Foundation (US), Harvard University (US), Uniformed Services University of the Health Sciences (US), University of Michigan (US), Families USA (US), University of California San Diego (US), Massachusetts General Hospital (US), VA San Diego Healthcare System (US), Doris Miller Department of Veterans Affairs Medical Center (US), James J. Peters VA Medical Center (US), Human Longevity (United States) (US), Bronx Community College (US), Columbia University (US), Icahn School of Medicine at Mount Sinai (US)
U.S. Department of Defense, U.S. Department of Veterans Affairs, Harvard University, University of Washington, Uniformed Services University of the Health Sciences, University of California, San Diego, Veterans Affairs San Diego Healthcare System, National Institute of Mental Health
Decent work and economic growth
Openalex Percentile: Top 61%
Homelessness and Social Issues
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