Diagnoses of eating disorders, active component service members, U.S. Armed Forces, 2013-2017
Abstract: During 2013-2017, a total of 1,788 active component service members received incident diagnoses of one of the eating disorders: anorexia nervosa (AN), bulimia nervosa (BN) or "other/unspecified eating disorder" (OUED). The crude overall incidence rate of any eating disorder was 2.7 cases per 10,000 person-years. Of the case-defining diagnoses, OUED and BN accounted for 46.4% and 41.8% of the total incident cases, respectively. The overall incidence rate of any eating disorder among women was more than 11 times that among men. Overall rates were highest among service members in the youngest age groups (29 years or younger). Crude annual incidence rates of total eating disorders increased steadily between 2013 and 2016, after which rates decreased slightly. Results of the current study suggest that service members likely experience eating disorders at rates that are comparable to rates in the general population, and that rates of these disorders are potentially rising among service members. These findings underscore the need for appropriate prevention and treatment efforts in this population.
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.