Medical School Clinical Knowledge Exam Scores, Not Demographic or Other Factors, Associated With Residency In-Training Exam Performance.

BACKGROUND: The anesthesiology in-training exam (ITE) is a 200-item multiple-choice assessment completed annually by physician residents. Because all matriculated U.S. Department of Defense (DoD) anesthesiology residents are "hired" by the DoD after residency graduation, it is important to ensure that ITE performance, as a proxy for core competencies achievement, is maximized. METHODS: Graduated resident program files from 2013 to 2020 were queried for age, sex, matriculant status (medical student vs. other), medical school (Uniformed Services University vs. other), military service (Army vs. Air Force), preresidency military service (yes vs. no), U.S. Medical Licensing Exam (USMLE) Step 2 Clinical Knowledge (CK) score, and the American Board of Anesthesiologists ITE Score from the third clinical anesthesia year (CA-3 year). RESULTS: For every 1-point increase in USMLE Step 2 CK true z-score, the CA-3 ITE z-score increased by 0.59 points. Age was not associated with CA-3 ITE z-score in any dataset regression. Categorical covariates of sex, application status, medical school, service, and preresidency military service were not significantly associated with CA-3 ITE z-score (all P >.05), as shown by estimated adjusted marginal means. The estimated adjusted grand mean of CA-3 ITE z-scores was 0.48 (standard error ± 0.14). CONCLUSION: Resident physicians enter residency with varying degrees of past academic success, and it is important to develop early strategies to support them in acquiring the requisite knowledge base.

An Initial Report of Sleep Disorders in Women in the U.S. Military.

INTRODUCTION: Sleep disorders are increasingly recognized in active duty service members (ADSM). While there are multiple studies in male ADSM, there are limited data regarding sleep disorders in women in the military. The purpose of this study was to characterize sleep disorders in female ADSM referred for clinical evaluation to provide a better understanding of this unique population. MATERIALS AND METHODS: We conducted a retrospective review of female ADSM who underwent a sleep medicine evaluation and an attended polysomnogram (PSG). Demographic and polysomnogram variables, as well as medical records, were reviewed. Associated illnesses to include post-traumatic stress disorder, pain disorders, anxiety, and depression, were recorded. RESULTS: The cohort consisted of 101 women. The average age was 33.9 ± 9.0 years and body mass index was 27.3 ± 4.5, with an average Epworth Sleepiness Scale score of 12.9 ± 5.2, and Insomnia Severity Index score of 17.6 ± 5.7. Overall, 36.6% were diagnosed with insomnia only, 14.9% with obstructive sleep apnea (OSA) only, and 34.7% met diagnostic criteria for both insomnia and OSA. The average apnea-hypopnea index for the entire cohort was 5.37 ± 7.04/h whereas it was 10.34 ± 3.14/h for those meeting diagnostic criteria for OSA. The women referred for sleep evaluations had the following rates of associated illnesses: pain disorders (59.4%), anxiety (48.5%), depression (46.5%), and post-traumatic stress disorder (21.8%). For patients with OSA, the relative risk of having post-traumatic stress disorder was 2.72 (95% confidence interval 1.16-6.39). CONCLUSIONS: Women in the U.S. military who have sleep disorders have a high rate of behavioral medicine and pain disorders. Interestingly, nearly 50% of active duty females referred for a sleep study have OSA while not necessarily manifesting the typical signs of obesity or increased age. The reasons for this finding are not completely understood, though factors related to military service may potentially contribute. The findings from our study indicate a need for increased awareness and evaluation of sleep disorders in women in the military, especially those with behavioral medicine disorders.

Adolescent Sleepiness: Causes and Consequences.

Insufficient sleep duration and poor sleep quality are common among adolescents. The multidimensional causes of insufficient sleep duration and poor sleep quality include biological, health-related, environmental, and lifestyle factors. The most common direct consequence of insufficient and/or poor sleep quality is excessive daytime sleepiness, which may contribute to poor academic performance, behavioral health problems, substance use, and drowsy driving. Evaluation of sleepiness includes a detailed sleep history and sleep diary, with polysomnography only required for the assessment of specific sleep disorders. Management involves encouraging healthy sleep practices such as having consistent bed and wake times, limiting caffeine and electronics at night before bed, and eliminating napping, in addition to treating any existing sleep or medical disorders. [Pediatr Ann. 2017;46(9):e340-e344.].

Gender differences in sleep disorders in the US military.

OBJECTIVES: The purpose of this study is to compare sleep disorders between male and female military personnel. Comorbid behavioral health disorders and chronic pain were also studied in relation to sleep disorders. DESIGN: We conducted a retrospective review of military personnel who underwent a sleep medicine evaluation and an in-laboratory attended polysomnography. Initial sleep questionnaires, demographics, polysomnographic variables, and comorbid disorders of interest were reviewed and compared for each sex. SETTING: All patients were referred to the Wilford Hall Ambulatory Surgical Center Sleep Disorders Center for evaluation of sleep disturbance. PARTICIPANTS: Our cohort consisted of 209 military personnel with 51.7% men. The cohort was relatively young with a mean age of 34.3 years. Men had a significantly higher body mass index at 29.4 vs 27.3 in women. RESULTS: Insomnia was diagnosed in 72 women and 41 men (P< .001), whereas obstructive sleep apnea (OSA) was diagnosed in 92 men and 50 women (P< .001). Depression and anxiety were more common in women. Women had an average of 1.76 ± 1.36 comorbid conditions compared with 1.08 ± 1.19 in men. In patients diagnosed with both insomnia and OSA, women were more likely to have post-traumatic stress disorder, depression, and anxiety. Neither the Epworth Sleepiness Scale (12.8 ± 4.88) nor the Insomnia Severity Index (16.9 ± 5.33) differed between sexes. CONCLUSIONS: Gender-related differences in sleep disorders are present in active-duty personnel. Behavioral health disorders were frequent comorbid disorders, and women diagnosed with both insomnia and OSA manifested greater psychiatric comorbidity. The frequent association between sleep and behavioral health disorders in military personnel requires further study.