Evidence map›Paper›PMID 41680461›Full record

ArticleNpj mental health research2026

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

Shelby Borowski, Emily R Edwards, Joseph C Geraci, Sarah M Gildea, Irving Hwang, Chris J Kennedy, Howard Liu, Alex Luedtke, Nancy A Sampson, David M Benedek and 7 more

Abstract read
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Article in Npj mental health research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

17 authors.

Shelby BorowskiDepartment of Health Care Policy, Harvard Medical School, Boston, MA, USA.
Emily R EdwardsDepartment of Veteran Affairs, VISN 2 MIRECC, Bronx, NY, USA.
Joseph C GeraciDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Sarah M GildeaDepartment of Health Care Policy, Harvard Medical School, Boston, MA, USA.
Irving HwangDepartment of Health Care Policy, Harvard Medical School, Boston, MA, USA.
Chris J KennedyDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
Howard LiuDepartment of Health Care Policy, Harvard Medical School, Boston, MA, USA.
Alex LuedtkeDepartment of Health Care Policy, Harvard Medical School, Boston, MA, USA.
Nancy A SampsonDepartment of Health Care Policy, Harvard Medical School, Boston, MA, USA.
David M BenedekDepartment of Psychiatry, Center for the Study of Traumatic Stress, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
Vincent F CapaldiDepartment of Psychiatry, Center for the Study of Traumatic Stress, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
James A NaifehDepartment of Psychiatry, Center for the Study of Traumatic Stress, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
Matthew K NockDepartment of Psychology, Harvard University, Cambridge, MA, USA.
James WagnerSurvey Research Center, Institute for Social Research, University of Michigan-Ann Arbor, Ann Arbor, MI, USA.
Murray B SteinDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Robert J UrsanoDepartment of Psychiatry, Center for the Study of Traumatic Stress, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
Ronald C KesslerDepartment of Health Care Policy, Harvard Medical School, Boston, MA, USA. kessler@hcp.med.harvard.edu.

Funding

Modifiable Risk and Protective Factors for Suicidal Behaviors in the US ArmyU01MH087981 · NIMH · HENRY M. JACKSON FDN FOR THE ADV MIL/MED · PI STEIN, MURRAY B., URSANO, ROBERT J. · 2009 to 2013
$65.0M
NIMH NIH HHS U01MH087981United States Department of Veterans Affairs, Clinical Sciences Research and Development Service (CSR&D) VA-STARRS Researcher-in-Residence Program Project SPR-002-24FU.S. Department of Defense HU0001-15-2-0004
6 · The paper itself

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.

Identifiers

PMID41680461
PMCPMC12901102

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.