Abstract

Sleep difficulties are associated with many physical and mental health problems, such as diabetes, hypertension, and depressive symptoms. Sleep can be affected by stressors such as discrimination and stigma, which are disproportionately experienced by sexual and gender minority (SGM)individuals. This research assesses how different characteristics, including discrimination and stigma, sociodemographic characteristics, community connectedness, self-rated good health, and outness levels, influence a sleep disorder diagnosis among SGMs. We analyzed data from wave 3 of Generations: A Study of the Life and Health of LGB People in a Changing Society. We used bivariate analysis to document the distribution of key variables across SGM status. Next, we conducted logistic regression analyses to measure how each variable influences the likelihood of an SGM individual being diagnosed with a sleep disorder considering experiences of discrimination and stigma. We found that feeling stigma was statistically significant in predicting a sleep disorder diagnosis among SGM individuals. However, after controlling for sociodemographic characteristics, community connectedness, self-rated good health, and outness levels, SGM individuals only had increased odds of a sleep disorder diagnosis if they reported higher scores on the Internalized Homophobia Scale. Variation in having a sleep disorder diagnosis differs based on SGM status and could not be explained away with the inclusion of all covariates. Our findings support the need for more research to compare health outcomes between different sexual and gender identities, rather than comparing them with their nonminority counterparts.

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