Prevalence of common mental health disorders in military veterans: using primary healthcare data
Abstract: Introduction: Serving military personnel and military veterans have been identified as having a high prevalence of mental disorders. Since 1985, UK patients’ primary healthcare (PHC) medical records contain Read Codes (now being replaced by Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT) codes) that mark characteristics such as diagnosis, ethnicity and therapeutic interventions. This English study accesses a cohort profile of British Armed Forces veterans to examine the diagnosed common mental disorders by using PHC records. Methods: This analysis has been drawn from initiatives with PHC practices in the Northwest of England to increase veteran registration in general practice. Demographic data were collected including gender, age and marital status. Data were also collected on common mental health disorders associated with the Armed Forces. Result: 2449 veteran PHC records were analysed. 38% (N=938) of veterans in this cohort had a code on their medical record for common mental health disorders. The highest disorder prevalence was depression (17.8%, N=437), followed by alcohol misuse (17.3%, N=423) and anxiety (15.0%, N=367). Lower disorder prevalence was seen across post-traumatic stress disorder (PTSD) (3.4%, N=83), dementia (1.8%, N=45) and substance misuse (0.8%, N=19). Female veterans had a higher prevalence of mental disorders than their male counterparts, while men a higher prevalence of PTSD; however, the gender difference in the latter was not significant (p>0.05). Conclusion: The SNOMED searches do not detail why certain groups had higher recordings of certain disorders. A future study that accesses the PHC written medical notes would prove enlightening to specifically identify what situational factors are having the most impact on the veteran population. The results from a sizeable English veteran population provide information that should be considered in developing veteran-specific clinical provision, educational syllabus and policy.
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.