Search results

Purpose:  We examined how substance use differed as a function of sex assigned at birth and gender identity (cisgender, transgender, or nonbinary/genderqueer) by type of substance. We sought to test whether current gender identity and sex assigned at birth were key factors in substance use among a large contemporary sample that included transgender and nonbinary/genderqueer adolescents. Methods:  We analyzed data from a large national U.S. sample of sexual and gender minority (SGM) adolescents (n = 11,129) collected between April and December 2017. Chi-square tests of independence were used to test whether substance use behaviors varied by sex assigned at birth and gender identity. A series of multivariate logistic regression models tested the odds of substance use by sex assigned at birth and gender identity, as well as the interaction between sex assigned at birth and gender identity. Results:  More than half of our sample reported lifetime alcohol use, and one-fourth of the sample reported lifetime marijuana use. Adolescents assigned male at birth had higher prevalence of substance use compared with adolescents assigned female at birth (AFAB). Multivariate models elucidated greater risk for most substance use outcomes for transgender adolescents compared with cisgender adolescents. We found significant interaction effects between gender identity and sex assigned at birth for recent alcohol use and lifetime and recent cigarette use among adolescents AFAB. Conclusions:  These findings have implications for stakeholders who develop nationally representative surveys, researchers who examine substance use disparities among SGM adolescents, and mental health professionals who treat underage substance use among vulnerable populations.

Background Sexual and gender minority (SGM) adolescents are more likely than their heterosexual and cisgender peers to smoke cigarettes. Family rejection has been associated with adverse health outcomes; however, few studies have examined whether SGM-specific family rejection is associated with cigarette smoking among SGM adolescents. Method A non-probability sample of 11,005 SGM adolescents (M = 15.58, SD = 1.27) completed an online cross-sectional survey. Bivariate and multivariable analyses were conducted to examine associations between SGM-specific family rejection, sociodemographic variables, and smoking. Results Approximately 7% of the sample currently smoked cigarettes. Pansexual, asexual, trans boys, and non-binary assigned female at birth adolescents had the highest SGM family rejection scores. In multivariable regression analyses, SGM-specific family rejection was independently associated with smoking after adjusting for covariates (AOR = 1.15, 95% CI 1.04, 1.28). Family support (AOR = 0.80, 95% CI 0.73, 0.88) and experiencing violence (AOR = 1.64, 95% CI 1.49, 1.82) were also associated with smoking in multivariable models. Adolescents who identified as bisexual versus gay/lesbian (AOR = 1.50, 95% CI 1.21, 1.85) and trans boys versus cisgender girls (AOR = 2.05, 95% CI 1.13, 3.71) had an increased odds of smoking. Those who disclosed their sexual orientation identity to most (AOR = 1.95, 95% CI 1.45, 2.63) and all (AOR = 1.60, 95% CI 1.21, 2.11) of their family/parents had increased odds of smoking. Conclusion Our findings underscore the importance of attending to the role of SGM-specific family rejection and distinctions with SGM adolescents in tobacco prevention and smoking cessation efforts.

Purpose:  Using representative school-based data and community-level primary data, we investigated how environmental factors (e.g., school and community climate) might be protective against substance use behaviors among a vulnerable population of adolescents. Methods:  We analyzed a sample of 2678 sexual minority adolescents using a combination of student-level data (British Columbia Adolescent Health Survey) and primary community-level data (assessing lesbian, gay, bisexual, transgender, and queer [LGBTQ]-specific community and school environments). Using multilevel logistic regression models, we examined associations between lifetime substance use (alcohol, illegal drugs, marijuana, nonmedical use of prescription drugs, and smoking) and community-level predictors (community and school LGBTQ supportiveness). Results:  Above and beyond student characteristics (e.g., age and years living in Canada), sexual minority adolescents residing in communities with more LGBTQ supports (i.e., more supportive climates) had lower odds of lifetime illegal drug use (for boys and girls), marijuana use (for girls), and smoking (for girls). Specifically, in communities with more frequent LGBTQ events (such as Pride events), the odds of substance use among sexual minority adolescents living in those communities was lower compared with their counterparts living in communities with fewer LGBTQ supports. Conclusions:  The availability of LGBTQ community-level organizations, events, and programs may serve as protective factors for substance use among sexual minority adolescents. In particular, LGBTQ-supportive community factors were negatively associated with substance use, which has important implications for our investment in community programs, laws, and organizations that advance the visibility and rights of LGBTQ people.

Purpose:  We propose a new theoretically grounded approach for estimating sexual orientation-related health risk that accounts for the unique and shared variance of sexual identity across other measures of sexual orientation (i.e., attraction and behavior). We argue and illustrate that this approach provides specificity not demonstrated by approaches that independently estimate and compare health risk based on sexual identity, attraction, and behavior. Methods:  Data were from the National Epidemiologic Survey on Alcohol and Related Conditions-III, collected in 2012–2013 (N = 36,309, ages 18 and older). The Karlson-Holm-Breen method tested the degree to which attraction- and behavior-based disparities in mental health and substance use disorders change after adjusting for sexual identity. Results:  Sexual attraction- and behavior-based disparities in mental health and substance use disorders statistically varied when comparing models that did and did not adjust for sexual identity. Adjusting for sexual identity appeared to have a larger influence on attraction- and behavior-based health associations among men; sexual minority and majority differences were attenuated on nearly every outcome after adjusting for sexual identity. This attenuation was less common among women. Among women, some behavior-based disparities were wider in sexual identity-adjusted models relative to unadjusted models. Conclusion:  We demonstrate more accurate approaches to capturing and comparing sexual orientation-related health disparities across multiple measures of sexual orientation, which account for the shared variance between sexual identity and measures of attraction and behavior. Adjusted estimates provide more specificity regarding relative health risk across specific subgroups of sexual minority people, and the intervention and prevention strategies needed to address them.

Scientific evidence regarding sexual minority populations has generally come from studies based on two types of samples: community-derived samples and probability samples. Probability samples are lauded as the gold standard of population research for their ability to represent the population of interest. However, while studies using community samples lack generalizability, they are often better able to assess population-specific concerns (e.g., minority stress) and are collected more rapidly, allowing them to be more responsive to changing population dynamics. Given these advantages, many sexual minority population studies rely on community samples. To identify how probability and community samples of sexual minorities are similar and different, we compared participant characteristics from two companion samples from the  Generations Study , each designed with the same demographic profile of U.S. sexual minority adults in mind. The first sample was recruited for a national probability survey, whereas the second was recruited for a multicommunity sample from four U.S. cities. We examined sociodemographic differences between the samples. Although there were several statistical differences between samples, the effect sizes were small for sociodemographic characteristics that defined the sample inclusion criteria: sex assigned at birth, race/ethnicity, and age cohort. The samples differed across other characteristics: bisexual respondents, respondents with less education, and those living in non-urban areas were underrepresented in the community sample. Our findings offer insights for recruiting community samples of sexual minority populations and for measuring sexual identity on probability surveys. They also bolster confidence in well-designed community samples as sources for data on sexual minority populations.

Supportive housing later in life tends to be a key concern for lesbian, gay, bisexual, and transgender (LGBT) elders. Most senior care providers are un(der)prepared to meet the needs of older LGBT adults. This study evaluated the efficacy of a 4 h, face-to-face, research-based, LGBT-diversity training designed to improve senior housing facility staff’s cultural competency regarding the needs of LGBT elders. Findings from this study found a significant increase in LGBT content knowledge between pre- and post-intervention assessments and a significant decrease in perceived preparedness when working with LGBT elders. These effects remained significant after controlling for staff designation, religion, educational attainment, and training session. Findings suggest that staff’s cultural competence affected their perceived readiness to address LGBT elders’ needs. Implications are related to the concept of cultural humility or the lifelong process of understanding others’ experiences based on the recognition of lack of un(der)preparedness to create a culturally supportive residential environment.

Black sexual and gender minorities (SGM) are at greater risk for HIV compared to their White, cisgender, heterosexual counterparts. Linkage to culturally sensitive health care is, therefore, pivotal for HIV prevention and treatment of Black SGM. Unfortunately, social and structural challenges undermine Black SGM individuals' abilities to obtain adequate health care services, indicating a need to understand Black SGM perceptions of health care. To address this gap, we interviewed Black men who have sex with men and transwomen about their experiences with health care providers. Participants discussed needs and concerns, including provider SGM identity diversity and education; assumptions, judgment, stigma, and discrimination; and ability to establish a personal bond, trust, and familiarity. Black SGM indicated that providers often did not meet their needs in different ways regarding their SGM identities. Findings suggest a need for provider cultural sensitivity education programs that address the needs of Black SGM in health care.

Black populations in the United States are disproportionately affected by HIV. This disparity may be affected by social and structural barriers to HIV testing, leading to undiagnosed infection and prolonged HIV transmissibility. Using data from a nationally representative sample of 1,727 Black men in the 2015 Behavioral Risk Factor Surveillance System we tested for differences in poverty, depression, and health care barriers between Black men who had been HIV tested in the past year and those who had not. We also tested a syndemic index of these factors. Number of syndemic factors was linearly associated with less HIV testing (aPR=0.79, 95% CI 0.66-0.95). Assumptions of unidimensionality were met. The use of a syndemic index was a superior approach to analyzing these factors individually, both in terms of model fit and associations detected. The accumulation of poverty, depression, and health care barriers has an adverse impact on HIV testing among Black men.

Provides a forum for health scholars across the UMD campus