Suchergebnisse

BackgroundAlcohol, tobacco, and other drug use are among the most prevalent and important health disparities affecting sexual and gender minority (SGM; e.g., lesbian, gay, bisexual, transgender) populations. Although numerous government agencies and health experts have called for substance use intervention studies to address these disparities, such studies continue to be relatively rare. MethodWe conducted a scoping review of prevention and drug treatment intervention studies for alcohol, tobacco, and other drug use that were conducted with SGM adults. We searched three databases to identify pertinent English-language, peer-reviewed articles published between 1985 and 2019. ResultsOur search yielded 71 articles. The majority focused on sexual minority men and studied individual or group psychotherapies for alcohol, tobacco, or methamphetamine use. ConclusionOur findings highlight the need for intervention research focused on sexual minority women and gender minority individuals and on cannabis and opioid use. There is also a need for more research that evaluates dyadic, population-level, and medication interventions.

Components of sexual minority (SM) status—including lesbian or bisexual identity, having same-sex partners, or same-sex attraction—individually predict substance use and sexual risk behavior disparities among women. Few studies have measured differing associations by sexual orientation components (identity, behavior, and attraction), particularly over time. Data were drawn from the 2002-2015 National Survey of Family Growth female sample (n = 31,222). Multivariable logistic regression (adjusted for age, race/ethnicity, education, marital/cohabitation status, survey cycle, and population-weighted) compared past-year sexual risk behavior, binge drinking, drug use, and sexually transmitted infection treatment among sexual minority women (SMW) versus sexual majority women (SMJW) by each sexual orientation component separately and by all components combined, and tested for effect modification by survey cycle. In multivariable models, SM identity, behavior, and attraction individually predicted significantly greater odds of risk behaviors. SM identity became non-significant in final adjusted models with all three orientation components; non-monosexual attraction and behavior continued to predict significantly elevated odds of risk behaviors, remaining associated with sexual risk behavior and drug use over time (attenuated in some cases). Trends in disparities over time between SMW vs. SMJW varied by sexual orientation indicator. In a shifting political and social context, research should include multidimensional sexual orientation constructs to accurately identify all SMW—especially those reporting non-monosexual behavior or attraction—and prioritize their health needs.