A model of military to civilian transition: Bourdieu in action
Abstract: Building on recent work that used the ideas of sociologist Pierre Bourdieu to construct a theoretical framework for considering military to civilian transition (MCT), this article introduces a practical approach to develop the use of this theory into an adaptable framework to explore factors that affect MCT. We have devised a model of MCT called the Model of Transition in Veterans (MoTiVe) to explore why an enduring attachment to the military exists for Veterans and to develop an understanding of how ‘‘looking back’’ on life events experienced in the military may cause difficulty for some in transition. We use Bourdieusian theory to consider the adjustment of military personnel back into civilian life, taking into account the importance of individual variances in socio-economic trajectories, life stories, and subsequent discrepancies between the norms of the military and civilian environments. We suggest that MoTiVe is a useful tool to reflect on how life experiences, both within and outside of the Armed Forces, affect the transition process, which can also be adapted to consider periods of transition in all walks of life.
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.