Military experience strongly influences post-service eating behavior and BMI status in American veterans
Abstract: In-depth interviews were conducted with veterans (n = 64) with an average age of 57 years to investigate eating behavior and food insecurity during military service and examine if it affects post-war eating behavior, and if this contributes to the high incidence of obesity found in veterans. About half of the subjects served during the Vietnam War, while smaller numbers served in WWII, the Korean War, Desert Storm, or other conflicts. The mean BMI was 30.5 ± 6.7 kg/m2. Only 12.5% of participants were classified as normal weight, while 37.5% were overweight, 46.9% were obese, and 3.1% were classified as excessively obese. Five major themes were identified including, (a) military service impacts soldier’s food environment, (b) food insecurity influences eating behavior and food choices, (c) military impacts weight status during and post-service, (d) military service has health consequences, and (e) post-service re-adjustment solutions are needed to ease re-entry into civilian 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.