Back

Applying an Intersectional Approach to Examine the Associations between Sexual Minority Stressors, Resilience, and Substance Misuse Disparities among a National Sample of Sexual Minority Populations

Zhang, C.; Qiao, S.; Chang, W.; Liu, Y.

2025-01-22 epidemiology
10.1101/2025.01.21.25320897 medRxiv
Show abstract

ObjectivesOur study aims to investigate the associations between sexual minority stressors, resilience factors, and substance misuse outcomes, using an intersectional framework to examine heterogeneities across sexual minority populations (SMPs). The study hypothesized that resilience factors would mitigate the adverse effects of minority stressors on alcohol and drug misuse risks. DesignThe current study employed a secondary data analysis strategy to analyze a cross-sectional data using Bayesian hierarchical modeling and Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA). SettingData were obtained from the Generation Study (Wave 1), a nationally representative cohort of SMPs in the United States. ParticipantsThe study included 1,518 participants aged 18-59. Combinations of education, birth sex, sexual orientation, income, and race/ethnicity defined intersectional strata. Participants were selected based on self-reported demographic and behavioral data. Primary and Secondary Outcome MeasuresPrimary outcomes were the risks of alcohol use disorder (AUD) and drug use disorder (DUD), measured using validated scales (AUDIT and DUDIT). Explanatory variables included resilience factors (social support, life satisfaction, social well-being, community connectedness) and sexual minority stressors (everyday discrimination, perceived stigma, healthcare stereotype threat, internalized homophobia). ResultsBayesian modeling identified everyday discrimination as the strongest predictor of AUD (Estimate = 0.10, 95% CI [0.01, 0.18]) and DUD (Estimate = 0.23, 95% CI [0.15, 0.32]). Perceived stigma was negatively associated with AUD risk (Estimate = -0.06, 95% CI [-0.12, 0.00]), and social well-being was inversely associated with DUD risk (Estimate = -0.17, 95% CI [-0.23, -0.10]). MAIHDA revealed that intersectional strata contributed to 1.61% of the variance in AUDIT scores and 1.88% in DUDIT scores. Including resilience and stressors in the model explained 93.6% of the strata-level variance for AUDIT and 34.45% for DUDIT, underscoring the significant impact of these factors on substance misuse disparities. ConclusionsThe findings highlight the complex interplay between resilience, stressors, and intersectional identities in substance use behaviors among SMPs. Using an intersectional framework and MAIHDA can enhance understanding of heterogeneities in substance misuse across strata and inform targeted, equity-focused interventions to reduce disparities. Further research should explore longitudinal effects and intervention development.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.