Evidence map›Paper›PMID 41957162›Full record

ArticleJournal of behavioral medicine2026

Young adult veterans' readjustment patterns following military discharge: predictors and implications for early intervention.

Shelby Borowski, Shaina A Kumar, Eric D Caine, Elizabeth Karras, Stephanie Gamble, Dawne Vogt

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Article in Journal of behavioral medicine, 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

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Shelby BorowskiWomen's Health Sciences Division, National Center for PTSD, VA Boston Healthcare System, Boston, MA, USA.ORCID https://orcid.org/0000-0002-9558-2175
Shaina A KumarDepartment of Psychological Sciences, William & Mary, Williamsburg, VA, USA.ORCID http://orcid.org/0000-0003-1928-646X
Eric D CaineVA Center of Excellence for Suicide Prevention, VA Finger Lakes Healthcare System, Canandaigua, NY, USA.
Elizabeth KarrasVA Center of Excellence for Suicide Prevention, VA Finger Lakes Healthcare System, Canandaigua, NY, USA.
Stephanie GambleVA Center of Excellence for Suicide Prevention, VA Finger Lakes Healthcare System, Canandaigua, NY, USA.ORCID https://orcid.org/0009-0006-6733-9609
Dawne VogtWomen's Health Sciences Division, National Center for PTSD, VA Boston Healthcare System, Boston, MA, USA. Dawne.Vogt@va.gov.ORCID http://orcid.org/0000-0001-6636-1034

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transition from military to civilian life can be challenging for many veterans. Few studies have examined veterans’ readjustment patterns during this time, and even less is known about background characteristics that influence transition success. Knowledge is also limited regarding young adult veterans’ experiences, an important oversight given that they have the highest rate of suicide among all veterans. This study sought to address these gaps by identifying demographic and military characteristics associated with young adult veterans’ reintegration experiences. Drawing from a large, national sample of 5293 young adult U.S. veterans (aged 18–34), latent growth modeling was applied to identify veterans’ health, vocational, financial, and social readjustment trajectories throughout the first three years after military discharge. Multinomial logistic models were then used to examine demographic and military predictors of veterans’ readjustment trajectories. Four trajectories (i.e., consistently high, consistently low, increasing, decreasing) were identified for each well-being domain. The proportion of veterans in each trajectory subgroup varied by domain. Across all domains, racial/ethnic minority veterans, enlisted personnel, and those who received an “other” type of discharge (e.g., medical, dishonorable) had higher odds of poor readjustment. Shorter duration in service was associated with poorer health and financial readjustment. Having experienced a combat deployment was associated with worse health and social well-being. This study highlights the need for targeted interventions to improve transition outcomes for key subgroups of young adult veterans, including racial/ethnic minority veterans, enlisted personnel, and those with “other” types of military discharges.

Indexed as

Early interventionHealthMilitary separationMilitary veteransWell-beingYoung adults

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Registered trials

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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.