Ontology highlight
ABSTRACT: Objectives
To quantify the role of state-level lesbian, gay, bisexual, transgender, and queer (LGBTQ+)-related policies on experiences of discrimination in a population-representative sample of partnered individuals.Methods
An adjusted multilevel random-intercept logistic regression model with individuals (level-1) nested within states (level-2) and a cross-level interaction term between gender/sexual identity and policy score was used to estimate the predicted probability of any experiences of discrimination for cisgender heterosexual, transgender and non-binary, and cisgender sexual minority respondents.Results
Experiences of discrimination in the past month were more common amongst transgender and non-binary (90.2%) respondents compared to their cisgender sexual
SUBMITTER: Bates AJ
PROVIDER: S-EPMC12306620 | biostudies-literature | 2024 Oct
REPOSITORIES: biostudies-literature