Asian Americans and disproportionate exposure to carcinogenic hazardous air pollutants: A national study

Studies have demonstrated disparate exposures to carcinogenic hazardous air pollutants (HAPs) in neighborhoods with high densities of Black and Hispanic residents in the US. Asians are the fastest growing racial/ethnic group in the US, yet they have been underemphasized in previous studies of environmental health and injustice. This cross-sectional study investigated possible disparities in residential exposure to carcinogenic HAPs among Asian Americans, including Asian American subgroups in the US (including all 50 states and the District of Columbia, n = 71,208 US census tracts) using National Air Toxics Assessment and US Census data. In an unadjusted analysis, Chinese and Korean Americans experience the highest mean cancer risks from HAPs, followed by Blacks. The aggregated Asian category ranks just below Blacks and above Hispanics, in terms of carcinogenic HAP risk. Multivariate models adjusting for socioeconomic status, population density, urban location, and geographic clustering show that an increase in proportion of Asian residents in census tracts is associated with significantly greater cancer risk from HAPs. Neighborhoods with higher proportions (as opposed to lower proportions) of Chinese, Korean, and South Asian residents have significantly greater cancer risk burdens relative to Whites. Tracts with higher concentrations of Asians speaking a non-English language and Asians that are US-born have significantly greater cancer risk burdens. Asian Americans experience substantial residential exposure to carcinogenic HAPs in US census tracts and in the US more generally.

Geographic and social disparities in exposure to air neurotoxicants at U.S. public schools

Children are especially vulnerable to the health and developmental impacts of environmental hazards and they spend significant portions of their days at school. Yet there are no national-level studies examining school-level environmental inequalities and few have examined disparate exposure to neurological air toxicants, even though chronic exposure to air pollution impacts children's brain functioning. We paired information about the geographic locations and demographics of each public school in the US with air neurotoxicant exposure estimates pertaining to 24 known neurotoxicants included in the US Environmental Protection Agency's National Air Toxics Assessment. Using bivariate and multivariate statistics, we tested for environmental injustices in air neurotoxicant exposure at 84,969 US public schools. Metropolitan New York City (EPA Region 2) is the geographic region most burdened by air neurotoxicant exposures at schools since one-third of all schools in that region are in the top 10% (at "high risk") for ambient neurotoxicant exposure among all schools nationwide. Students attending "high risk" public schools nationwide are significantly more likely to be eligible for free/reduced price meals, and to be Hispanic, black, or Asian/Pacific Islander (API). They are significantly less likely to be white or of another race. In a multivariate generalized estimating equation controlling for school district effects, schools with greater proportions of Hispanic, black, and API students, schools with higher enrollment, and schools located in more urban (vs. rural) counties face greater risks. Schools serving the youngest students (e.g., pre-kindergarten) have greater levels of risk than schools serving older students. Across all analyses, this study shows that racial/ethnic minority children are bearing the brunt of air neurotoxicant exposures at school, which may be unequally impacting their school performance and future potential.

Environmental injustice and sexual minority health disparities: A national study of inequitable health risks from air pollution among same-sex partners

Air pollution is deleterious to human health, and numerous studies have documented racial and socioeconomic inequities in air pollution exposures. Despite the marginalized status of lesbian, gay, bisexual, and transgender (LGBT) populations, no national studies have examined if they experience inequitable exposures to air pollution. This cross-sectional study investigated inequities in the exposure of same-sex partner households to hazardous air pollutants (HAPs) in the US. We examined cancer and respiratory risks from HAPs across 71,207 census tracts using National Air Toxics Assessment and US Census data. We calculated population-weighted mean cancer and respiratory risks from HAPs for same-sex male, same-sex female and heterosexual partner households. We used generalized estimating equations (GEEs) to examine multivariate associations between sociodemographics and health risks from HAPs, while focusing on inequities based on the tract composition of same-sex, same-sex male and same-sex female partners. We found that mean cancer and respiratory risks from HAPs for same-sex partners are 12.3% and 23.8% greater, respectively, than for heterosexual partners. GEEs adjusting for racial/ethnic and socioeconomic status, population density, urban location, and geographic clustering show that living in census tracts with high (vs. low) proportions of same-sex partners is associated with significantly greater cancer and respiratory risks from HAPs, and that living in same-sex male partner enclaves is associated with greater risks than living in same-sex female partner enclaves. Results suggest that some health disparities experienced by LGBT populations (e.g. cancer, asthma) may be compounded by environmental exposures. Findings highlight the need to extend the conceptual framework for explaining LGBT health disparities beyond psycho-behavioral mechanisms translating social stress into illness to include environmental mechanisms. Because psycho-behavioral and environmental factors may together exacerbate health disparities, we call for a shift toward interdisciplinary research on LGBT health that takes into account cumulative risks, including the role of environmental exposures.

Exploring the Environmental Justice Implications of Hurricane Harvey Flooding in Greater Houston, Texas

OBJECTIVES

To assess the environmental justice implications of flooding from Hurricane Harvey in Greater Houston, Texas, we analyzed whether the areal extent of flooding was distributed inequitably with respect to race, ethnicity, and socioeconomic status, after controlling for relevant explanatory factors.

METHODS

Our study integrated cartographic information from Harvey's Inundation Footprint, developed by the US Federal Emergency Management Agency, with sociodemographic data from the 2012-2016 American Community Survey. Statistical analyses were based on bivariate correlations and multivariate generalized estimating equations.

RESULTS

The areal extent of Harvey-induced flooding was significantly greater in neighborhoods with a higher proportion of non-Hispanic Black and socioeconomically deprived residents after we controlled for contextual factors and clustering.

CONCLUSIONS

Results provide evidence of racial/ethnic and socioeconomic injustices in the distribution of flooding and represent an important starting point for more detailed investigation of disproportionate impacts associated with Hurricane Harvey. Public Health Implications. Our findings highlight the need to prepare for and address the unequal social consequences of climate change-related disasters, which are expected to increase in frequency and severity.

Comparing disproportionate exposure to acute and chronic pollution risks: a case study in Houston, Texas

While environmental justice (EJ) research in the United States has focused primarily on the social distribution of chronic pollution risks, previous empirical studies have not analyzed disparities in exposure to both chronic (long-term) and acute (short-term) pollution in the same study area. Our article addresses this limitation though a case study that compares social inequities in exposure to chronic and acute pollution risks in the Greater Houston Metropolitan Statistical Area, Texas. The study integrates estimates of chronic cancer risk associated with ambient exposure to hazardous air pollutants from the Environmental Protection Agency's National-Scale Air Toxics Assessment (2005), hazardous chemical accidents from the National Response Center's Emergency Response Notification System (2007-2011), and sociodemographic characteristics from the American Community Survey (2007-2011). Statistical analyses are based on descriptive comparisons, bivariate correlations, and locally derived spatial regression models that account for spatial dependence in the data. Results indicate that neighborhoods with a higher percentage of Hispanic residents, lower percentage of homeowners, and higher income inequality are facing significantly greater exposure to both chronic and acute pollution risks. The non-Hispanic black percentage is significantly higher in neighborhoods with greater chronic cancer risk, but lower in areas exposed to acute pollution events. Households isolated by language--those highly likely to face evacuation problems during an actual chemical disaster--tend to reside in areas facing significantly greater exposure to high-impact acute events. Our findings emphasize the growing need to examine social inequities in exposure to both chronic and acute pollution risks in future EJ research and policy.

Disparities in Health Effects and Access to Health Care Among Houston Area Residents After Hurricane Harvey

OBJECTIVES

Although research shows that public health is substantially affected during and after disasters, few studies have examined the health effects of Hurricane Harvey, which made landfall on the Texas coast in August 2017. We assessed disparities in physical health, mental health, and health care access after Hurricane Harvey among residents of the Houston-The Woodlands-Sugar Land, Texas, metropolitan statistical area (ie, Houston MSA).

METHODS

We used structured survey data collected through telephone and online surveys from a population-based random sample of Houston MSA residents (n = 403) collected from November 29, 2017, through January 6, 2018. We used descriptive statistics to describe the prevalence of physical health/mental health and health care access outcomes and multivariable generalized linear models to assess disparities (eg, based on race/ethnicity, socioeconomic status, disability) in health outcomes.

RESULTS

Physical health problems disproportionately affected persons who did not evacuate (odds ratio [OR] = 0.41; 95% confidence interval [CI], 0.19-0.87). Non-Hispanic black persons were more likely than non-Hispanic white persons to have posttraumatic stress (OR = 5.03; 95% CI, 1.90-13.10), as were persons in households that experienced job loss post-Harvey (vs did not experience job loss post-Harvey; OR = 2.89; 95% CI, 1.14-7.32) and older persons (OR = 1.04; 95% CI, 1.01-1.06). Health care access was constrained for persons whose households lost jobs post-Harvey (vs did not lose jobs post-Harvey; OR = 2.73; 95% CI, 1.29-5.78) and for persons with disabilities (vs without disabilities; OR = 3.19; 95% CI, 1.37-7.45).

CONCLUSIONS

Our findings underscore the need to plan for and ameliorate public health disparities resulting from climate change-related disasters, which are expected to occur with increased frequency and magnitude.

Hispanic health disparities after a flood disaster: results of a population-based survey of individuals experiencing home site damage in El Paso (Texas, USA)

In 2006, El Paso County, a predominantly Hispanic urban area, was affected by a flood disaster; 1,500 homes were damaged. We assessed the health impacts of the disaster upon 475 individuals whose homes were flood-damaged using mail survey data and logistic regression. Substantial proportions of individuals had one or more physical (43 %) or mental (18 %) health problem in the four months following the floods; 28 % had one or more injury or acute effect related to post-flood cleanup. Adverse event experiences, older age, and lower socioeconomic status were significantly associated with negative post-flood health outcomes in all three logistic regression models. A lack of access to healthcare, non-US citizenship, and English proficiency were significant predictors of negative outcomes in both the physical and mental health models, while Hispanic ethnicity (physical), native-birth (mental), and more serious home damage (cleanup) were significant predictors in one model each. The disaster had disproportionate negative health impacts on those who were more exposed, poorer, older, and with constrained resource-access. While a lack of US citizenship and Hispanic ethnicity were associated with higher risks, being less acculturated (i.e., English-deficient, foreign-born) may have protected against health impacts.

School-based exposure to hazardous air pollutants and grade point average: A multi-level study

The problem of environmental health hazards around schools is serious but it has been neglected by researchers and analysts. This is concerning because children are highly susceptible to the effects of chemical hazards. Some ecological studies have demonstrated that higher school-level pollution is associated with lower aggregate school-level standardized test scores likely, related to increased respiratory illnesses and/or impaired cognitive development. However, an important question remains unexamined: How do school-level exposures impact individual children's academic performance? To address this, we obtained socio-demographic and grades data from the parents of 1888 fourth and fifth grade children in the El Paso (Texas, USA) Independent School District in 2012. El Paso is located on the US-side of the Mexican border and has a majority Mexican-origin population. School-based hazardous air pollution (HAP) exposure was calculated using census block-level US Environmental Protection Agency National Air Toxics Assessment risk estimates for respiratory and diesel particulate matter (PM). School-level demographics were obtained from the school district. Multi-level models adjusting for individual-level covariates (e.g., age, sex, race/ethnicity, English proficiency, and economic deprivation) and school-level covariates (e.g., percent of students economically disadvantaged and student-teacher ratio) showed that higher school-level HAPs were associated with lower individual-level grade point averages. An interquartile range increase in school-level HAP exposure was associated with an adjusted 0.11-0.40 point decrease in individual students' grade point averages (GPAs), depending on HAP type and emission source. Respiratory risk from HAPs had a larger effect on GPA than did diesel PM risk. Non-road mobile and total respiratory risk had the largest effects on children's GPA of all HAP variables studied and only mother's level of education had a larger effect than those two variables on children's GPA. The five school-level demographic indicators were only weakly associated with GPA. The study findings indicate the need for regulations on school siting and adjacent land uses to protect children's environmental health.

The Hispanic health paradox across generations: the relationship of child generational status and citizenship with health outcomes

OBJECTIVES

In examining the Hispanic health paradox, researchers rarely determine if the paradox persists across immigrant generations. This study examines immigrant respiratory health disparities among Hispanic children in terms of current asthma, bronchitis, and allergies using an expanded six-group immigrant cohort framework that includes citizenship and the fourth-plus generation.

STUDY DESIGN

Cross-sectional primary survey data from 1568 caretakers of Hispanic schoolchildren in El Paso, Texas (USA), were utilized.

METHODS

Data were analyzed using generalized linear models.

RESULTS

Results indicate that a healthy immigrant advantage lasts until the 2.5 generation for bronchitis and allergies (P < 0.05), and until the third generation for asthma (P < 0.10). Citizenship was not an influence on the likelihood of a child having a respiratory health condition.

CONCLUSIONS

Findings demonstrate the utility of the expanded six-group cohort framework for examining intergenerational patterns in health conditions among immigrant groups.

Cyclical "flipping" of morphology in block copolymer thin films

We studied the kinetics of nanopattern evolution in (polystyrene-b-polyethylene oxide) diblock copolymer thin films. Using scanning force microscopy, a highly unexpected cylindrical flipping of morphology from normal to parallel to the film plane was detected during solvent annealing of the film (with average thickness of 30 nm) at high vapor pressure. Using an in situ time-resolved light scattering device combined with an environmental cell enabled us to obtain kinetic information at different vapor pressures. The data indicated that there is a threshold value for the vapor pressure necessary for the structural transition. We propose a swelling and deswelling mechanism for the orientation flipping of the morphology. The cyclic transition occurs faster in thick films (177 nm) where the mass uptake and solvent volume fraction is smaller and therefore the driving force for phase separation is higher. We induced a stronger segregation by confining the chains in graphoepitaxially patterned substrates. As expected, the cyclic transition occurred at higher rate. Our work is another step forward to understanding the structure evolution and also controlling the alignment of block copolymer nanocylinders independently of thickness and external fields.

Racial Differences in Perceptions of Air Pollution Health Risk: Does Environmental Exposure Matter?

This article extends environmental risk perception research by exploring how potential health risk from exposure to industrial and vehicular air pollutants, as well as other contextual and socio-demographic factors, influence racial/ethnic differences in air pollution health risk perception. Our study site is the Greater Houston metropolitan area, Texas, USA—a racially/ethnically diverse area facing high levels of exposure to pollutants from both industrial and transportation sources. We integrate primary household-level survey data with estimates of excess cancer risk from ambient exposure to industrial and on-road mobile source emissions of air toxics obtained from the U.S. Environmental Protection Agency. Statistical analysis is based on multivariate generalized estimation equation models which account for geographic clustering of surveyed households. Our results reveal significantly higher risk perceptions for non-Hispanic Black residents and those exposed to greater cancer risk from industrial pollutants, and also indicate that gender influences the relationship between race/ethnicity and air pollution risk perception. These findings highlight the need to incorporate measures of environmental health risk exposure in future analysis of social disparities in risk perception.

Redlining, racism and food access in US urban cores

In the 1930s, the Home Owners' Loan Corporation (HOLC) graded the mortgage security of urban US neighborhoods. In doing so, the HOLC engaged in the practice, imbued with racism and xenophobia, of "redlining" neighborhoods deemed "hazardous" for lenders. Redlining has caused persistent social, political and economic problems for communities of color. Linkages between redlining and contemporary food access remain unexamined, even though food access is essential to well-being. To investigate this, we used a census tract-level measure of low-income and low grocery store food access from the US Department of Agriculture Food Access Research Atlas, redlining data from Mapping Inequality Project, and demographic data from the American Community Survey. We employed generalized estimating equations with robust covariance estimates to analyze data pertaining to 10,459 census tracts in 202 US cities. Tracts that the HOLC graded as "C" ("decline in desirability") and "D" ("hazardous") had reduced contemporary food access compared to those graded "A" ("best"). Increases in contemporary census tract proportions of Black, Hispanic, or other racial/ethnic minority residents, as well as disabled residents, were associated with reduced food access. Increases in contemporary proportions of residents age 75 years and older or those without a car were associated with better food access. Tracts that underwent housing redevelopment since being graded had better food access, while those undergoing gentrification had reduced food access. Results suggest that issues of redlining, housing discrimination, racism, ableism, displacement, and food inaccessibility are deeply intertwined.

Light pollution inequities in the continental United States: A distributive environmental justice analysis

Excessive exposure to ambient light at night is a well-documented hazard to human health, yet analysts have not examined it from an environmental justice (EJ) perspective. We conducted the first EJ study of exposure to light pollution by testing for socially disparate patterns across the continental United States (US). We first calculated population-weighted mean exposures to examine whether ambient light pollution in the US differed between racial/ethnic groups. We then used multivariable generalized estimating equations (GEEs) that adjust for geographic clustering to examine whether light pollution was distributed inequitably based on racial/ethnic composition and socioeconomic status across US neighborhoods (census tracts). Finally, we conducted a stratified analysis of metropolitan core, suburban, and small city-rural tracts to determine whether patterns of inequity varied based on urban-rural context. We found evidence of disparities in exposures to light pollution based on racial/ethnic minority and low-to-mid socioeconomic statuses. Americans of Asian, Hispanic or Black race/ethnicity had population-weighted mean exposures to light pollution in their neighborhoods that were approximately two times that of White Americans. GEEs indicated that neighborhoods composed of higher proportions of Blacks, Hispanics, Asians, or renter-occupants experienced greater exposures to ambient light at night. Stratified analyses indicated that those patterns of inequity did not substantially vary based on urban-rural context. Findings have implications for understanding environmental influences on health disparities, raise concerns about the potential for a multiple environmental jeopardy situation, and highlight the need for policy actions to address light pollution.

Factors Influencing Student Gains from Undergraduate Research Experiences at a Hispanic-Serving Institution

Undergraduate research experiences (UREs) confer many benefits to students, including improved self-confidence, better communication skills, and an increased likelihood of pursuing science careers. Additionally, UREs may be particularly important for racial/ethnic minority students who are underrepresented in the science workforce. We examined factors hypothetically relevant to underrepresented minority student gains from UREs at a Hispanic-serving institution, such as mentoring quality, family income, being Latino/a, and caring for dependents. Data came from a 2013 survey of University of Texas at El Paso students engaged in 10 URE programs (n = 227). Using generalized linear models (GzLMs) and adjusting for known covariates, we found that students who reported receiving higher-quality mentorship, spending more hours caring for dependents, and receiving more programmatic resources experienced significantly greater gains from their URE in all three areas we examined (i.e., thinking and working like a scientist, personal gains, and gains in skills). In two of three areas, duration of the URE was positive and significant. Being Latino/a was positive and significant only in the model predicting personal gains. Across the three models, quality of mentorship was the most important correlate of gains. This suggests that providing training to faculty mentors involved in UREs may improve student outcomes and increase program efficacy.

Large Block Copolymer Self-Assembly for Fabrication of Subwavelength Nanostructures for Applications in Optics

Nanostructured surfaces are common in nature and exhibit properties such as antireflectivity (moth eyes), self-cleaning (lotus leaf), iridescent colors (butterfly wings), and water harvesting (desert beetles). We now understand such properties and can mimic some of these natural structures in the laboratory. However, these synthetic structures are limited since they are not easily mass produced over large areas due to the limited scalability of current technologies such as UV-lithography, the high cost of infrastructure, and the difficulty in nonplanar surfaces. Here, we report a solution process based on block copolymer (BCP) self-assembly to fabricate subwavelength structures on large areas of optical and curved surfaces with feature sizes and spacings designed to efficiently scatter visible light. Si nanopillars (SiNPs) with diameters of ∼115 ± 19 nm, periodicity of 180 ± 18 nm, and aspect ratio of 2-15 show a reduction in reflectivity by a factor of 100, <0.16% between 400 and 900 nm at an angle of incidence of 30°. Significantly, the reflectivity remains below 1.75% up to incident angles of 75°. Modeling the efficiency of a SiNP PV suggests a 24.6% increase in efficiency, representing a 3.52% (absolute) or 16.7% (relative) increase in electrical energy output from the PV system compared to AR-coated device.

Increasing Research Productivity in Undergraduate Research Experiences: Exploring Predictors of Collaborative Faculty-Student Publications

Little attention has been paid to understanding faculty-student productivity via undergraduate research from the faculty member's perspective. This study examines predictors of faculty-student publications resulting from mentored undergraduate research, including measures of faculty-student collaboration, faculty commitment to undergraduate students, and faculty characteristics. Generalized estimating equations were used to analyze data from 468 faculty members across 13 research-intensive institutions, collected by a cross-sectional survey in 2013/2014. Results show that biomedical faculty mentors were more productive in publishing collaboratively with undergraduate students when they worked with students for more than 1 year on average, enjoyed teaching students about research, had mentored Black students, had received more funding from the National Institutes of Health, had a higher H-index scores, and had more years of experience working in higher education. This study suggests that college administrators and research program directors should strive to create incentives for faculty members to collaborate with undergraduate students and promote faculty awareness that undergraduates can contribute to their research.

Environmental injustice and Hurricane Harvey: A household-level study of socially disparate flood exposures in Greater Houston, Texas, USA

Environmental justice research on flooding has relied heavily on analyses of aggregated geographic areal units and assessing exposure to 'pre-flood' risks (e.g., residence in 100-year flood zones) rather than actual flood events. To address these limitations, we examined disproportionate exposure to flooding caused by Hurricane Harvey in 2017 in Greater Houston (Texas). Using primary survey data collected from 377 representative households before Harvey and spatial data on Harvey-induced inundation developed by the US Federal Emergency Management Agency, we found that the areal extent of flooding around residents' home sites was distributed inequitably with respect to race/ethnicity and socioeconomic status (SES). Hispanic, black and other racial/ethnic minority households experienced more extensive flooding than white households, and lower SES households faced more extensive flooding than higher SES households. Findings align with prior flood risk research in Greater Houston and provide cause for concern, as social inequities in flood exposure may have influenced social disparities in flood impacts and post-disaster needs. Since flood events in Greater Houston are expected to increase in frequency and magnitude due to climate change, socially disparate impacts are likely to become an increasingly salient public policy issue. Thus, proactive approaches for reducing flood risks and ameliorating disparities should be implemented.

Hazardous air pollutants are associated with worse performance in reading, math, and science among US primary schoolchildren

Emerging evidence demonstrates that chronic exposure to air pollution may negatively impact children's cognitive processing and memory. Little is currently known about how air pollution impacts individual children's academic performance through time. Academic performance is practically important, given its linkage to children's future life course trajectories. Individual-level, longitudinal data from 16,000 US primary school students are combined with a tract-level hazardous air pollutant (HAP) measure to assess how kindergarten exposures are associated with competencies in reading, math and science through third grade. We employed linear mixed models with repeated measures within children (e.g., five math tests across four years), clustering within census tracts, and random effects specified at the child- and census tract-levels. Controlling for a comprehensive list of time variant and time invariant covariates, we found statistically significant associations between higher levels of HAPs and lower reading (b = -0.02; p < 0.05), math (b = -0.02; p < 0.001), and science (b = -0.05; p < 0.001) scores. These negative effects of pollution on academic competency in the early primary school years add to the weight of evidence that air pollution harms children's academic potential.

Hurricane Harvey and people with disabilities: Disproportionate exposure to flooding in Houston, Texas

While numerous environmental justice (EJ) studies have found socially disadvantaged groups such as racial/ethnic minorities and low-income individuals to be disproportionately affected by environmental hazards, previous EJ research has not examined whether disabled individuals are disproportionately exposed to natural hazards. Our article addresses this gap by conducting the first distributive EJ study of the relationship between flooding caused by Hurricane Harvey and locations of people with disabilities in Harris County, the most populous county in Texas that was severely impacted by this disaster. Our objective is to determine whether the areal extent of flooding at the neighborhood (census tract) level is disproportionately distributed with respect to people with any disability and with specific types of disabilities, after controlling for relevant socio-demographic factors. Our study integrates cartographic information from Harvey's Inundation Footprint developed by the U.S. Federal Emergency Management Agency with data on disability and socio-demographic characteristics from the 2012-2016 American Community Survey. Statistical analyses are based on bivariate correlations and multivariate generalized estimating equations, a modeling technique appropriate for clustered data. Results indicate that the areal extent of Harvey-induced flooding is significantly greater in neighborhoods with a higher proportion of disabled residents, after controlling for race/ethnicity, socioeconomic factors, and clustering. Disabled individuals with cognitive and ambulatory difficulties are more likely to reside in neighborhoods with a higher proportion of flooded area, compared to those facing other types of difficulties. These results represent an important starting point for more detailed investigation on the disproportionate impacts associated with Hurricane Harvey for people with disabilities. Our findings also highlight the growing need to consider individuals with physical and mental disabilities in future EJ research, as well as planning and management of natural disasters.

Unevenness in Urban Governance: Stadium Building and Downtown Redevelopment in Phoenix, Arizona

I examine sociospatial aspects of urban governance, focusing on the case of a downtown-redevelopment stadium project. In many US central cities, wider political economic processes have led to the formation of governance coalitions guided by the interests of private sector agents. The case of Bank One Ballpark in Phoenix, Arizona, demonstrates how political economic conditions were sources of an uneven bargaining context during the process of project negotiations. Because of this unevenness, interests of profiteers were favored at the expense of others. Organized resistance during each phase of stadium building and concentration of increasing revenues in the hands of fewer business operators reflect uneven consequences. These were desired outcomes of the corporate-led coalition's strategy for expansion through the manipulation of state authority and the exclusionary production of space. I expand the application of urban-regime analysis to examine the role of unevenness in local governance.

Neighborhood context and the Hispanic health paradox: differential effects of immigrant density on children׳s wheezing by poverty, nativity and medical history

Prior research suggests that immigrant enclaves provide respiratory health benefits for US Hispanic residents. We test if immigrant enclaves provide differential respiratory health benefits for Hispanic children in El Paso (Texas) based on individual-level factors. Results reveal that higher neighborhood immigrant density is associated with reduced odds of wheezing, but that the protective immigrant enclave effect is modified by poverty, general health status, body mass index (BMI), and caretaker nativity. Higher immigrant density is significantly more protective for poor children and those with foreign-born caretakers; conversely, it is significantly less protective for children in worse health and those with higher BMI. These findings foster a novel understanding of how immigrant enclaves may be differentially protective for Hispanic children based on individual-level factors.

Environmental Justice Research: Contemporary Issues and Emerging Topics

Environmental justice (EJ) research seeks to document and redress the disproportionate environmental burdens and benefits associated with social inequalities. Although its initial focus was on disparities in exposure to anthropogenic pollution, the scope of EJ research has expanded. In the context of intensifying social inequalities and environmental problems, there is a need to further strengthen the EJ research framework and diversify its application. This Special Issue of the International Journal of Environmental Research and Public Health (IJERPH) incorporates 19 articles that broaden EJ research by considering emerging topics such as energy, food, drinking water, flooding, sustainability, and gender dynamics, including issues in Canada, the UK, and Eastern Europe. Additionally, the articles contribute to three research themes: (1) documenting connections between unjust environmental exposures and health impacts by examining unsafe infrastructure, substance use, and children’s obesity and academic performance; (2) promoting and achieving EJ by implementing interventions to improve environmental knowledge and health, identifying avenues for sustainable community change, and incorporating EJ metrics in government programs; and (3) clarifying stakeholder perceptions of EJ issues to extend research beyond the documentation of unjust conditions and processes. Collectively, the articles highlight potentially compounding injustices and an array of approaches being employed to achieve EJ.