Publications by authors named "Kevin W Sunderland"

Importance: Use of exogenous sex steroid hormones, when indicated, may improve outcomes in adolescents and young adults with gender incongruence. Little is known about factors associated with the time from diagnosis of gender dysphoria to initiation of gender-affirming hormone therapy. Identification of inequities in time to treatment may have clinical, policy, and research implications.

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Objective: Despite unique experiences that may increase eating disorder risk, U.S. military service members are an understudied population.

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Background: Beginning in July 2016, transgender service members in the US military were allowed to receive gender-affirming medical care, if so desired.

Objective: This study aimed to evaluate variation in time-to-hormone therapy initiation in active duty Service members after the receipt of a diagnosis indicative of gender dysphoria in the Military Health System.

Research Design: This retrospective cohort study included data from those enrolled in TRICARE Prime between July 2016 and December 2021 and extracted from the Military Health System Data Repository.

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This study examined the utilization of gender-affirming health care by active-duty service members during the initial 5½ years that transgender and gender-diverse (TGD) individuals were authorized to serve in the U.S. military.

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Objective: The offspring of US military service members may be at increased risk for eating disorders. However, no epidemiological studies to date have evaluated eating disorder incidence rates and prevalence estimates among military-dependent youth.

Method: This retrospective cohort study examined eating disorder diagnoses in the military healthcare system (MHS) from 2016 through 2021.

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Fast-growing abdominal aortic aneurysms (AAA) have a high rupture risk and poor outcomes if not promptly identified and treated. Our primary objective is to improve the differentiation of small AAAs' growth status (fast versus slow-growing) through a combination of patient health information, computational hemodynamics, geometric analysis, and artificial intelligence. 3D computed tomography angiography (CTA) data available for 70 patients diagnosed with AAAs with known growth status were used to conduct geometric and hemodynamic analyses.

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