Fluidity in Reporting Gender Identity Labels in a Sample of Transgender and Gender Diverse Adolescents and Young Adults, Los Angeles, California, and New Orleans, Louisiana, 2017-2019.

Manuel A OcasioM Isabel FernandezDemi H S WardMarguerita LightfootDallas SwendemanGary W Harper

Published in: Public health reports (Washington, D.C. : 1974) (2024)

Gender identity labels varied over time, suggesting that misclassification may occur if data from a single time point are used to define gender identity. Our study lays the foundation for launching studies to elucidate the associations between shifting gender identities and health outcomes.

Keyphrases

mental health
machine learning
electronic health record
adverse drug
data analysis