Well-being and suicidal ideation in U.S. Veterans: Age cohort effects during military-to-civilian transition

Abstract: Introduction: Life transitions often bring stress and uncertainty and may lead to poor long-term health outcomes if not navigated successfully. Every year over 200,000 U.S. service members transition from military to civilian life. Given that transition may be particularly challenging for younger individuals this study examined younger military Veterans’ well-being during transition and its impact on suicidal ideation as compared with middle-aged Veterans. Methods: Using data from the Veterans Metrics Initiative (TVMI) study (N=6,615), latent class analysis was used to identify age-stratified subgroups of Veterans (18–34 and 35–54 years) based on health, vocational, financial, and social well-being 1 year following military discharge. Negative binomials models were used to examine associations between subgroups and suicidal ideation at 4 data points. Data were collected in 2016–2019 and analyzed in 2024. Results: Four subgroups were identified for younger and middle-aged Veterans. For younger Veterans, subgroups included high well-being (32.3%); low well-being (24.7%); poor health and social well-being (17.3%); and poor financial well-being with health risk (25.7%). Middle-aged Veterans subgroups included high well-being with health risk (37.4%); low well-being (20.6%); poor health and social well-being (21.8%), and poor financial well-being with health risk (20.2%). Subgroups with poorer well-being had an increased rate of suicidal ideation compared with those with the highest well-being, with the strongest association with the low well-being subgroups (younger IRRs=10.1–51.0; middle-aged IRRs=11.3–26.0), followed by poor health and social well-being subgroups (younger IRRs=3.9–22.3; middle-aged IRRs=4.9–10.2). Conclusions: Findings highlight the importance of considering age cohort effects in efforts to enhance well-being and reduce suicidal ideation among transitioning Veterans.

Read the full article
Report a problem with this article

Related articles

  • More for Researchers

    Examining the factor structure of the nine-item avoidant/restrictive food intake disorder screen in a national US military Veteran sample

    Abstract: Disordered eating is a prevalent and relevant health concern that remains understudied among U.S. military veterans. Avoidant/restrictive food intake disorder (ARFID) is a newly recognized feeding and eating disorder characterized by overly restrictive eating due to (a) picky eating, (b) lack of appetite, and (c) fear of aversive consequences related to eating. The Nine-Item ARFID Screen (NIAS) is a recently developed ARFID screening tool with initial validation studies demonstrating psychometric support. However, the psychometric properties of the NIAS have not been investigated in a veteran sample. To advance our understanding of ARFID screening tools that may be appropriate for use in veterans, the present study examined the factor structure of the NIAS using survey data from a large national sample of recently separated veterans (N = 1,486). Measurement invariance across key subgroups was tested in addition to exploring differential associations between the NIAS and related constructs. Results suggested that a three-factor model provided an excellent fit of the data and demonstrated scalar invariance across self-identified men and women, race and ethnicity, and sexual and gender minority (SGM) identity. Some subgroups had higher latent means on the picky eating (women, SGM, non-Hispanic Black), appetite (women, SGM), and fear (women) factors. The NIAS had some overlap with another measure of disordered eating and was moderately correlated with psychosocial impairment and mental health. Overall, the NIAS may be a useful screening tool for ARFID in veterans, given support for the three proposed subscales and equivalence across diverse identities.