Lives in Transition: returning to civilian life with a physical injury or condition. Final report.
Executive Summary: This report presents the final findings of a project funded by Forces in Mind Trust (FiMT) called Understanding the transition to civilian life for ex-service personnel with physical conditions as a direct result of service or acquired whilst in service. Running from April 2019to October 2021, this project was the #rst substantive qualitative longitudinal research (QLR) to explore how service leavers experience the transition to civilian life when they have left the Armed Forces with a physical injury or condition. Despite the prevalence of physical conditions and injuries as a factor in leaving service, there is limited research that provides a holistic view of the experiences of this cohort. Our project was therefore structured to provide an exploration of the various stages of people’s journeys from injury/condition within service through to accessing civilian systems, support and employment.
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.