Associations Between Gender Dysphoria, Eating Disorders, and Mental Health Diagnoses Among Adolescents

Purpose: Transgender adolescents and adolescents with eating disorders (EDs) are known to have increased mental health comorbidity; however, little is understood about how gender dysphoria (GD), disordered eating and mental health disorders relate to each other. The purpose of this study was to examine associations between GD, ED, and mental health diagnoses among adolescents. Methods: Data were extracted from the electronic health records of 57,353 patients aged 9-18 seen at a single pediatric health system between 2009 and 2022. Adjusted logistic regression models tested for associations between GD, ED, and mental health diagnoses. Results: Youth with a GD diagnosis had significantly greater odds of also having an ED diagnosis compared to those without a GD diagnosis (adjusted odds ratio [aOR] = 3.72,95% confidence interval [CI]: 2.98-4.64). Among those with an ED diagnosis, youth with a GD diagnosis had significantly lower odds of having an anorexia nervosa diagnosis (aOR = 0.34,95% CI: 0.18-0.61) and significantly greater odds of having an unspecified or other specified ED diagnosis (aOR = 2.48,95% CI: 1.56-3.93) compared to those without a GD diagnosis. Youth with both GD and ED diagnoses had significantly greater odds of also having a diagnosis of anxiety (aOR = 24.01, 95% CI: 14.85-38.83), depression (aOR = 48.41, 95% CI: 30.38-77.12), suicidality (aOR = 26.15, 95% CI: 16.65-41.05) and self-harm (aOR = 35.79, 95% CI: 22.48-56.98) as compared to those with neither a GD nor an ED diagnosis. Discussion: Adolescents with co-occurring GD and ED diagnoses are at greater risk for anxiety, depression, suicidality, and self-harm as compared to youth with neither diagnosis. Further research is essential to understand the complex interplay of mental health concerns and EDs among gender diverse adolescents and to inform appropriate interventions. (c) 2024 Society for Adolescent Health and Medicine. All rights are reserved, including those for text and data mining, AI training, and similar technologies.