Objective: Veterans with nonroutine military discharge (NRD) often have worse psychosocial outcomes than their routinely discharged peers. However, little is known about how subgroups of veterans vary regarding risk and protective factors like PTSD, depression, self-stigma of mental illness, mindfulness, and self-efficacy, and how subgroup characteristics relate to discharge status. We applied person-centered models to detect latent profiles and associations with NRD.
Method: A total of 485 post-9/11 era veterans completed online surveys, and a sequence of latent profile (LPA) models were fitted to the data and examined for parsimony, profile separation, and substantive utility. Following LPA model selection, we applied a series of models to analyze demographic predictors of latent profile membership and associations between latent profiles and the outcome NRD.
Results: LPA model comparison supported a 5-profile solution for the data. We identified a Self-Stigmatized (SS) profile comprising 26% of the sample with mindfulness and self-efficacy below full sample averages and self-stigma, PTSD, and depressive symptoms above sample averages. Those in the SS profile were significantly more likely than a profile approximating full sample averages on indicators to report nonroutine discharge (OR = 2.42, 95% CI [1.15, 5.10]).
Conclusions: Meaningful subgroups were present in this sample of post-9/11 service-era military veterans with respect to psychological risk and protective factors. The SS profile had over 10 times the odds of nonroutine discharge compared to the Average profile. Findings suggest that veterans most in need of mental health treatment face external barriers from nonroutine discharge and an internal stigma barrier to obtaining care. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1037/tra0001450 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Portuguese consensus on first line treatment of moderate-to-severe psoriasis with a non-TNF inhibitor therapy - a delphi methodology.
J Dermatolog Treat
December 2025
Dermatology Department, Hospital de S. José, Unidade Local de Saúde São José, Lisboa, Portugal.
Introduction: Psoriasis (PsO) is a common chronic, inflammatory, immune-mediated disease. In 2023, a 4.4% prevalence of PsO was reported in Portugal.
View Article and Find Full Text PDFA novel muscle network approach for objective assessment and profiling of bulbar involvement in ALS.
Front Neurosci
January 2025
Neurology Associate P.C., Lincoln, NE, United States.
Introduction: As a hallmark feature of amyotrophic lateral sclerosis (ALS), bulbar involvement significantly impacts psychosocial, emotional, and physical health. A validated objective marker is however lacking to characterize and phenotype bulbar involvement, positing a major barrier to early detection, progress monitoring, and tailored care. This study aimed to bridge this gap by constructing a multiplex functional mandibular muscle network to provide a novel objective measurement tool of bulbar involvement.
View Article and Find Full Text PDFComment on 'Latent Profiles of Fear of Cancer Recurrence in Breast Cancer Patients of Reproductive Age and Associations With Reproductive Concerns'.
J Adv Nurs
January 2025
Anesthesiology Department, Hebei Province Cangzhou Hospital of Integrated Traditional and Western Medicine, Cangzhou, Hebei, China.
Substance Use Classes Among YMSM in an HIV Digital Health Intervention Program: Implications for Acceptability, Engagement, and Health Outcomes.
AIDS Behav
January 2025
Institute for Sexual and Gender Minority Health and Wellbeing, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Young men who have sex with men (YMSM) have high rates of substance use, which increases their risk for HIV. Digital Health Interventions (DHI) have the potential to address HIV risk overall and reduce harms in the context of substance use. However, there is limited research on how YMSM with different substance use patterns respond to HIV DHIs and how these programs impact participant outcomes.
View Article and Find Full Text PDFOxidative Gaseous Air Pollutant Exposure Interacts with PNPLA3-I148M Genotype to Influence Liver Fat Fraction and Multi-Omics Profiles in Young Adults.
Environ Pollut
January 2025
Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA. Electronic address:
PNPLA3-I148M genotype is the strongest predictive single-nucleotide polymorphism for liver fat. We examine whether PNPLA3-I148M modifies associations between oxidative gaseous air pollutant exposure (O) with i) liver fat and ii) multi-omics profiles of miRNAs and metabolites linked to liver fat. Participants were 69 young adults (17-22 years) from the Meta-AIR cohort.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!