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LGBTQ youth are at greater risk for compromised health, yet large-scale health promotion programs for LGBTQ young people have been slow to develop. LGBTQ community-based organizations—which provide LGBTQ-focused support and services—have existed for decades, but have not been a focus of the LGBTQ youth health literature. The current study used a contemporary sample of LGBTQ youth (age 15–21;  M  = 18.81;  n  = 1045) to examine who participates in LGBTQ community-based organizations, and the association between participation and self-reported mental health and substance use. Youth who participated in LGBTQ community-based organizations were more likely to be assigned male at birth, transgender, youth of color, and accessing free-or-reduced lunch. Participation was associated with concurrent and longitudinal reports of mental health and substance use. LGBTQ community-based organizations may be an underutilized resource for promoting LGBTQ youth health.

Lack of access to a health-promoting food environment can lead to poor health outcomes including obesity which is a problem for African-Americans in Prince George’s County, Maryland. Previous research examined the quality of the food environment at the regional level but did not consider local level indicators. In this study, we utilized an environmental justice framework to examine the local food environment in the County. We collected data from 127 food outlets, (convenience stores, grocery stores, and supermarkets), in three racially and socioeconomically diverse communities – Bladensburg (predominantly African American/ Black, with the lowest median household income); Greenbelt (similar percentage of non-white persons as Hyattsville, with the highest median household income); and Hyattsville (dominated by a Hispanic population). We examined the availability, quality, and accessibility of food within each community, using a modified version of the Johns Hopkins Center for a Livable Future (CLF) healthy food availability index (HFAI).We also used ArcMap 10.6 to examine the spatial distribution of stores in relation to sociodemographic factors and generate descriptive statistics to examine HFAI score differences across the communities, sociodemographic composition, and store types at the block group level. Mean HFAI scores were 7.76, 10.75, and 9.60 for Bladensburg, Greenbelt, and Hyattsville, respectively suggesting a relative disparity in access to diverse healthy and good quality food sources for these communities although these differences were not statistically significant (p=0.79). Statistically significant differences between the communities were found with respect to ethnic stores, stores that sold fresh vegetables (p=0.047), and stores that sold fresh fruits (p=0.012). Getis-Ord Gi Hot Spot Analysis revealed one statistically significant cold spot at 95% confidence, and two others at 90% confidence in Hyattsville, indicating a cluster of low-scoring stores. The results indicate a potential need for expanded food infrastructure in these communities to improve public health. We also identified the need for culturally appropriate foods and proposed ethnic stores as potential salutogens to improve the food environment in culturally diverse neighborhoods.

Objectives:  We examined changes in  health care access  and utilization associated with the Patient Protection and  Affordable Care Act  (ACA) for different Asian American subgroups relative to non-Latino whites (whites). Research Design:  Using 2003–2017 California Health Interview Survey data, we examined changes in 4  health care access  measures and 2 utilization measures among whites and 7 Asian American subgroups. We estimated the unadjusted and adjusted percentage point changes on the absolute scale from the pre-ACA to post-ACA periods. Adjusted estimates were obtained from multivariable logistic regression models that controlled for predisposing, enabling, and need factors. We also estimated the pre-ACA to post-ACA changes between whites and Asian American subgroups using a difference-in-difference approach. Results:  After the ACA was implemented, uninsurance decreased among all Asian American subgroups, but improvements in disparities relative to whites in these measures were limited. In particular, Koreans had the largest absolute reduction in uninsurance (−16.8 percentage points) and were the only subgroup with a significant reduction in terms of disparities relative to whites (−10.1 percentage points). However, little or no improvement was observed in the other 3 access measures (having a usual source of care, delayed medical care in past year, or delayed prescription drug use in past year) and 2 utilization measures (having a physician visit or emergency department visit in past year). Conclusions:  Despite coverage gains among Asian American subgroups, especially Koreans, disparities in access and utilization persisted across all Asian American subgroups.

Reducing racial/ethnic disparities in preterm birth is a priority for U.S. public health programs. The study objective was to quantify the relative contribution of geographic, sociodemographic, and health determinants to the black, non-Hispanic and white, non-Hispanic preterm birth disparity. Methods Cross-sectional 2016 U.S. birth certificate data (analyzed in 2018–2019) were used. Black–white differences in covariate distributions and preterm birth and very preterm birth rates were examined. Decomposition methods for nonlinear outcomes based on logistic regression were used to quantify the extent to which black–white differences in covariates contributed to preterm birth and very preterm birth disparities. Results Covariate differences between black and white women were found within each category of geographic, sociodemographic, and health characteristics. However, not all covariates contributed substantially to the disparity. Close to 38% of the preterm birth and 31% of the very preterm birth disparity could be explained by black–white covariate differences. The largest contributors to the disparity included maternal education (preterm birth, 11.3%; very preterm birth, 9.0%), marital status/paternity acknowledgment (preterm birth, 13.8%; very preterm birth, 14.7%), source of payment for delivery (preterm birth, 6.2%; very preterm birth, 3.2%), and hypertension in pregnancy (preterm birth, 9.9%; very preterm birth, 8.3%). Interpregnancy interval contributed a more sizable contribution to the disparity (preterm birth, 6.2%, very preterm birth, 6.0%) in sensitivity analyses restricted to all nonfirstborn births. Conclusions These findings demonstrate that the known portion of the disparity in preterm birth is driven by sociodemographic and preconception/prenatal health factors. Public health programs to enhance social support and preconception care, specifically focused on hypertension, may provide an efficient approach for reducing the racial gap in preterm birth.

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.

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.

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.

Abstract Purpose: The purpose of this study was to assess sexual orientation differences in high-intensity binge drinking using nationally representative data. Methods: Data were from the National Epidemiologic Survey on Alcohol and Related Conditions III (N = 36,309), a nationally representative sample of U.S. adults collected in 2012–2013. Sex-stratified adjusted logistic regression models were used to test sexual orientation differences in the prevalence of standard (4+ for women and 5+ for men) and high-intensity binge drinking (8+ and 12+ for women; 10+ and 15+ for men) across three dimensions of sexual orientation: sexual attraction, sexual behavior, and sexual identity. Results: Sexual minority women, whether defined on the basis of sexual attraction, behavior, or identity, were more likely than sexual majority women to engage in high-intensity binge drinking at two (adjusted odds ratios [aORs] ranging from 1.52 to 2.90) and three (aORs ranging from 1.61 to 3.27) times the standard cutoff for women (4+). Sexual minority men, depending on sexual orientation dimension, were equally or less likely than sexual majority men to engage in high-intensity binge drinking. Conclusion: This study is the first to document sexual orientation-related disparities in high-intensity binge drinking among adults in the United States using nationally representative data. The results suggest that differences in alcohol-related risk among sexual minority individuals vary depending on sex and sexual orientation dimension.

Migration, Urbanization, and Health: Insights from South Africa

Health Contextualized: Inequalities in Physiological Function at the Intersection of Race, Skin Color, and Place