ABSTRACT
INTRODUCTION: This study compared the prevalence of adverse childhood experiences across intersections of sexual orientation, gender, race/ethnicity, and economic status. METHODS: Data collected between 1994 and 2018 from 12,519 participants in the National Longitudinal Study of Adolescent to Adult Health were analyzed in 2023 to generate adverse childhood experience prevalence estimates. Unadjusted 1-way ANOVAs and multivariate regressions were performed to compare differences in independent and cumulative adversity measures by sexual orientation, gender, race/ethnicity, and poverty status. A multilevel analysis of individual heterogeneity and discriminatory accuracy was conducted to estimate adversity scores across 24 groups that were stratified by sexual orientation, gender, race/ethnicity, and poverty status. RESULTS: Adolescents with same-sex attractions and adults who identified with a sexual minority group reported more adverse childhood experiences overall than straight participants, although associations varied by type of adversity. Strikingly, adversity scores were higher among White youth with same-sex attractions than among Black youth with same-sex attractions, among more economically advantaged bisexual adults than among poorer ones, and among poor White participants than among poor Black and Hispanic participants, suggesting that the combination of disadvantaged and marginalized statuses does not necessarily correspond with greater childhood adversity. A multilevel analysis of individual heterogeneity and discriminatory accuracy interaction model showed that sexual orientation and poverty status contributed significant variance to cumulative adversity scores, whereas gender and race/ethnicity did not. CONCLUSIONS: The results show that disparities in adverse experiences can be more fully and accurately represented when sexual orientation and other social identities are modeled as intersectional configurations. Given that adverse childhood experiences are linked to morbidity and mortality, the findings have salient implications for understanding health disparities that affect population subgroups.
