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Deferred Action for Childhood Arrivals (DACA) recipients face an uncertain fate as their future in the United States is being debated. Yet even before the program was introduced in June 2012 and became endangered in September 2017, they encountered challenges in navigating a fragmented health care landscape throughout the United States. This paper focuses on  DACA  recipients' experiences in accessing health care throughout their lives, both before and after receiving DACA. We conducted semi-structured interviews and questionnaires with 30 DACA recipients living in Maryland between April–December 2016. Participants represented 13 countries of origin and ranged in age between 18 and 28. Results demonstrate that DACA recipients have had punctuated coverage throughout their lives and continue to face constrained access despite temporary gains in status. Health care access is further stratified within their mixed-status families. Participants have also experienced shifts in their health care coverage due to moving between jurisdictions with variable eligibility and changing life circumstances related to family, school, and employment. This article underscores the importance of examining young adult immigrants' access to care over time as they weather changes in the broader policy context and in highly variable contexts of reception nationwide, shaped by state, but also county and city policies and programs. The challenges and gaps in coverage DACA recipients face also underscore the need for both health care and immigration reform.

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.

As a strategy for combating physical inactivity, obesity, and other health conditions, the apperception of greenspace and importance of human-nature relationships have increased in recent decades. With this raised awareness in greenspace, the development of park auditing tools has been positioned primarily in the material conditions (e.g., physical environmental conditions) of parks. An examination of existing park auditing tools has shown that by focusing on particular material conditions, built environment and active living scholars have set aside other characteristics, namely, those that consider the user (e.g., the active human), as a separate concern from the focus of these tools. We have sought to engage with these tools to examine how they can be more effective in analyzing both the physical and human elements of parks and other natural environments.

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.

Adolescent girls and young women (AGYW) in Uganda are at risk of early sexual debut, unwanted pregnancy, violence, and disproportionally high HIV infection rates, driven in part by transactional sex. This paper examines the extent to which AGYW’s participation in transactional sex is perceived to be coerced. We conducted 19 focus group discussions and 44 in-depth interviews using semi-structured tools. Interviews were audio recorded, and transcribed verbatim. Data were analysed using a thematic analysis. While AGYW did not necessarily use the language of coercion, their narratives describe a number of coercive aspects in their relationships. First, coercion by force as a result of “de-toothing” a man (whereby they received money or resources but did not wish to provide sex as “obligated” under the implicit “terms” of the relationships). Second, they described the coercive role that receiving resources played in their decision to have sex in the face of men’s verbal insistence. Finally, they discussed having sex as a result of coercive economic circumstances including poverty, and because of peer pressure to uphold modern lifestyles. Support for income-generation activities, microfinance and social protection programmes may help reduce AGYW’s vulnerability to sexual coercion in transactional sex relationships. Targeting gender norms that contribute to unequal power dynamics and social expectations that obligate AGYW to provide sex in return for resources, critically assessing the meaning of consensual sex, and normative interventions building on parents’ efforts to ascertain the source of their daughters’ resources may also reduce AGYW’s vulnerability to coercion.

Provides a forum for health scholars across the UMD campus

Jessica N. Fish, Family Science, investigates sexual-orientation-related disparities in mental, behavioral, and physical health

The Sociology Department presents: The Prescription-to-Prison Pipeline: Medicalization and Criminalization of Pain

Complex interrelationships between race, sex, obesity and depression have been well-documented. Because of differences in associations between socioeconomic status (SES) and health by race, determining the role of SES may help to further explicate these relationships. The aim of this study was to determine how race and income interact with obesity on depression. Combining data from the 2007-2014 National Health and Nutrition Examination Survey, depressive symptoms was measured with the Patient Health Questionnaire-9 and obesity was assessed as body mass index ≥30 kg/m 2 . Three-way interactions between race, income and obesity on depressive symptoms were determined using ordered regression models. Significant interactions between race, middle income and obesity (OR = 0.66, 95% CI = 0.22-1.96) suggested that, among white women, obesity is positively associated with depressive symptoms across income levels, while obesity was not associated with depression for African American women at any income level. Obesity was only associated with depressive symptoms among middle-income white men (OR = 1.44, 95% CI = 1.02-2.03) and among high-income African American men (OR = 4.65, 95% CI = 1.48-14.59). The associations between obesity and depressive symptoms vary greatly by race and income. Findings from this study underscore the importance of addressing obesity and depression among higher income African American men.

O besity rates in the U.S. are associated with area-level, food-related characteristics. Studies have previously examined the role of structural racism (policies/practices that advantaged White Americans and deprived other racial/ethnic minority groups), but racial inequalities in socioeconomic status (SES) is a novel indicator. The aim of this study is to determine the associations between racial inequalities in SES with obesity and obesogenic environments. Data from 2007⁻2014 County Health Rankings and 2012⁻2016 County Business Patterns were combined to assess the associations between relative SES comparing Blacks to Whites with obesity, and number of grocery stores and fast food restaurants in U.S. counties. Random effects linear and Poisson regressions were used and stratified by county racial composition. Racial inequality in poverty, unemployment, and homeownership were associated with higher obesity rates. Racial inequality in median income, college graduates, and unemployment were associated with fewer grocery stores and more fast food restaurants. Associations varied by county racial composition. The results demonstrate that a novel indicator of structural racism on the county-level is associated with obesity and obesogenic environments. Associations vary by SES measure and county racial composition, suggesting the ability for targeted interventions to improve obesogenic environments and policies to eliminate racial inequalities in SES.