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Sexual and gender minority (SGM) youth are more likely to use alcohol than their heterosexual cisgender peers. At the same time, SGM youth experience sexuality- and gender identity-specific stressors known to exacerbate negative health outcomes. Though scholars have established a link between minority stressors (e.g., internalized stigma and victimization) and increased alcohol use for SGM youth as a whole, there is little indication of whether internalized stigma and victimization are more strongly associated with alcohol use for specific groups of SGM youth. A United States sample of 11,811 racially and geographically diverse 13–17 year old SGM youth was used to employ a series of gender-stratified multivariable regression models to examine the association among internalized stigma, victimization, and alcohol-related behaviors, and whether they differed for specific groups of sexual minority youth. Sexual orientation moderated several associations between sexual minority stressors (i.e., victimization and stigma) and youth’s alcohol use (i.e., recent use and heavy episodic drinking) across models stratified by gender (i.e., male, female, and non-binary). For example, bisexual boys had stronger associations between SGM-specific victimization and alcohol use frequency and heavy episodic drinking relative to gay boys; conversely, victimization and alcohol use frequency were more weakly associated among bisexual girls relative to lesbian/gay girls. Pansexual girls showed weaker associations between internalized stigma and alcohol use frequency compared to lesbian/gay girls. This paper demonstrates who among SGM youth are more likely to engage in alcohol-related behaviors as a function of differential forms of SGM-related victimization and stigma. These findings can inform substance use interventions that are tailored to youth of diverse sexual orientations and gender identities.

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.

Objectives. We evaluated the combined impact of community-level environmental and socioeconomic factors on the risk of campylobacteriosis. Methods. We obtained Campylobacter case data (2002–2010; n = 3694) from the Maryland Foodborne Diseases Active Surveillance Network. We obtained community-level socioeconomic and environmental data from the 2000 US Census and the 2007 US Census of Agriculture. We linked data by zip code. We derived incidence rate ratios by Poisson regressions. We mapped a subset of zip code–level characteristics. Results. In zip codes that were 100% rural, incidence rate ratios (IRRs) of campylobacteriosis were 6 times (IRR = 6.18; 95% confidence interval [CI] = 3.19, 11.97) greater than those in urban zip codes. In zip codes with broiler chicken operations, incidence rates were 1.45 times greater than those in zip codes without broilers (IRR = 1.45; 95% CI = 1.34, 1.58). We also observed higher rates in zip codes whose populations were predominantly White and had high median incomes. Conclusions. The community and environment in which one lives may significantly influence the risk of campylobacteriosis.

  BACKGROUND: Stroke is a leading cause of morbidity and mortality in the United States. Associations between short-term exposures to particulate matter (PM) air pollution and stroke are inconsistent. Many prior studies have used administrative and hospitalization databases where misclassification of the type and timing of the stroke event may be problematic. METHODS: In this case-crossover study, we used a nationwide kriging model to examine short-term ambient exposure to PM10 and PM2.5 and risk of ischemic and hemorrhagic stroke among men enrolled in the Health Professionals Follow-up Study. Conditional logistic regression models were used to obtain estimates of odds ratios (OR) and 95% confidence intervals (CI) associated with an interquartile range (IQR) increase in PM2.5 or PM10. Lag periods up to 3 days prior to the stroke event were considered in addition to a 4-day average. Stratified models were used to examine effect modification by patient characteristics. RESULTS: Of the 727 strokes that occurred between 1999 and 2010, 539 were ischemic and 122 were hemorrhagic. We observed positive statistically significant associations between PM10 and ischemic stroke (ORlag0-3 = 1.26; 95% CI: 1.03-1.55 per IQR increase [14.46 μg/m3]), and associations were elevated for nonsmokers, aspirin nonusers, and those without a history of high cholesterol. However, we observed no evidence of a positive association between short-term exposure to PM and hemorrhagic stroke or between PM2.5 and ischemic stroke in this cohort. CONCLUSIONS: Our study provides evidence that ambient PM10 may be associated with higher risk of ischemic stroke and highlights that ischemic and hemorrhagic strokes are heterogeneous outcomes that should be treated as such in analyses related to air pollution.

A concrete block plant located in Bladensburg, Maryland, wants to expand to include a concrete batching plant on the same property. This expansion could further degrade air quality and impact the health of vulnerable residents. The purpose of this study is to provide information on volatile organic compounds (VOCs) levels near residential areas close to commuter traffic and industrial activity associated with the concrete plant. Air quality monitoring was conducted in the community at five sites: (1) Kingdom Missionary Baptist Church, (2) Bladensburg Waterfront Park, (3) Confluence area, (4) Bladensburg Elementary School, and (5) Hillcrest Apartment Complex by using the Atmotube, a wearable, real-time sensor that can measure total VOCs. Sampling was conducted in 30-minute periods to capture morning onpeak, afternoon off-peak, and evening on-peak periods. Traffic counts were also conducted at the sites mentioned earlier to evaluate vehicular activity. Average 30-minute values for cars ranged from 8.33 to 1295.33 cars, whereas mean truck values ranged from 0.00 to 137.67 trucks across all sites. The highest average car count of 1295.33 cars was observed at the confluence area. Mean VOCs concentrations ranged from 0.11 to 0.54 ppm across the monitoring locations. The maximum average VOCs level of 0.54 ppm was observed at Kingdom Missionary Baptist Church on Saturday. Also, the mean VOCs levels observed at the church (0.54 and 0.31 ppm) were higher compared with other locations on Saturday. Our results revealed spatial variations of VOCs levels across all locations. There were higher total VOCs levels at the church, which is the closest location to the concrete block plant.

Background Atmospheric particulate matter (PM) has been associated with endothelial dysfunction, an early marker of cardiovascular risk. Our aim was to extend this research to a genetically homogenous, geographically stable rural population using location-specific moving-average air pollution exposure estimates indexed to the date of endothelial function measurement. Methods We measured endothelial function using brachial artery flow-mediated dilation (FMD) in 615 community-dwelling healthy Amish participants. Exposures to PM < 2.5 μm (PM 2.5 ) and PM < 10 μm (PM 10 ) were estimated at participants’ residential addresses using previously developed geographic information system-based spatio-temporal models and normalized. Associations between PM exposures and FMD were evaluated using linear mixed-effects regression models, and polynomial distributed lag (PDL) models followed by Bayesian model averaging (BMA) were used to assess response to delayed effects occurring across multiple months. Results Exposure to PM 10  was consistently inversely associated with FMD, with the strongest (most negative) association for a 12-month moving average (− 0.09; 95% CI: − 0.15, − 0.03). Associations with PM 2.5  were also strongest for a 12-month moving average but were weaker than for PM 10  (− 0.07; 95% CI: − 0.13, − 0.09). Associations of PM 2.5  and PM 10  with FMD were somewhat stronger in men than in women, particularly for PM 10 . Conclusions Using location-specific moving-average air pollution exposure estimates, we have shown that 12-month moving-average estimates of PM 2.5  and PM 10  exposure are associated with impaired endothelial function in a rural population.