Assault-related Orbital Trauma at an Urban Level I Trauma Center: Racial Segregation and Other Neighborhood-level Social Determinants.

PURPOSE: To report the demographics of assault-related orbital fractures over a 7-year period treated at a level I urban trauma center, as well as describe and analyze the variation in assault rates across different racial/ethnic neighborhoods for patients residing in Milwaukee County. METHODS: A retrospective chart review was conducted for patients who sustained assault-related orbital fractures from January 1, 2013, through December 31, 2019, at the Froedtert & Medical College of Wisconsin, in Milwaukee, Wisconsin. A series of negative binomial regression models evaluating the association of neighborhood (i.e., US census tract) racial/ethnic composition, poverty, unemployment, percentage female head-of-household, and education level with neighborhood rate of orbital trauma was conducted. RESULTS: A total of 410 adult patients with orbital fractures attributed to assault were identified during the seven-year period, of whom 326 (80%) resided in Milwaukee County. Among these patients, 242 (74%) were male, 260 (81%) were single, and 206 (63%) were non-Hispanic Black. Majority non-Hispanic Black, Hispanic, and Other-type minority neighborhoods have 5.30, 3.35, and 3.94 times higher incidence rates of orbital assault, respectively, compared with the majority of non-Hispanic White neighborhoods. The elevated incidence rates were significantly attenuated across all minority neighborhoods after accounting for neighborhood factors of poverty, unemployment, and low education level. Low education had the strongest association with the incidence of assault-related orbital fractures, followed by unemployment. CONCLUSIONS: Results indicate that minority neighborhoods suffer from compounded burdens of both social and economic disadvantage as well as violent assaults. Additional resources allocated to poor minority communities are needed.

Income disparities in mental health: investigating the role of food insecurity by disability status.

OBJECTIVE: To investigate whether food insecurity helps explain the association between income and psychological distress and if its role differs by disability status. DESIGN: Using 2011-2017 National Health Interview Survey cross-sectional data (n 102 543), we conducted linear regression models, fully interacted with disability status, to estimate the association between income-to-poverty ratio (IPR) (<1, 1-<2, 2-<4, ≥4) and psychological distress (Kessler 6 (K6) Scale, range: 0-24). Base models adjusted for socio-demographic factors. We then added food security (secure, low and very low), interacted with disability, and conducted post-estimation adjusted Wald tests. SETTING: USA. PARTICIPANTS: Nationally representative sample of non-institutionalised adults 18 years and older. RESULTS: The association between income and psychological distress was stronger for people with disabilities. Compared to those in the highest income category (IPR ≥4), poor individuals (IPR < 1) with and without disabilities scored 2·10 (95 % CI (1·74, 2·46)) and 0·81 (95 % CI (0·69, 0·93)) points higher on the K6 Scale, respectively. Accounting for food insecurity reduced the estimated income disparity in psychological distress significantly more among individuals with disabilities (0·96 points or 46 %) than without disabilities (0·34 points or 42 %), decreasing the difference in the income disparity between those with and without disabilities by 48 % (0·62 points). Further, food insecurity more strongly predicted psychological distress for individuals with disabilities independent of socio-economic disadvantage. CONCLUSIONS: Food insecurity plays a more important role in shaping patterns of psychological distress for people with disabilities, explaining more of the association between income and psychological distress among those with than without disabilities. Improving food security may reduce mental health disparities.

Prior COVID-19 infection: an underappreciated factor in vaccine hesitancy in the USA.

Despite tremendous efforts to quickly identify the 'vaccine hesitant' in the USA, what has emerged instead is a complex picture of a highly heterogeneous unvaccinated population. Although numerous factors have been implicated in influencing US COVID-19 vaccine decision-making, the role that prior coronavirus disease 2019 (COVID-19) infection may play in vaccine receipt has been largely uninvestigated. Using data from two separate US national surveys, the US COVID-19 Trends and Impact Survey and the Household Pulse Survey, we find that roughly one-quarter of unvaccinated survey respondents has had a prior COVID-19 infection. Prior COVID-19 infection halves the odds of receiving the vaccine. This information is consequential for ongoing vaccine outreach efforts.

U.S. frontline workers and COVID-19 inequities.

We overcome a lack of frontline worker status information in most COVID-19 data repositories to document the extent to which occupation has contributed to COVID-19 disparities in the United States. Using national data from over a million U.S. respondents to a Facebook-Carnegie Mellon University survey administered from September 2020 to March 2021, we estimated the likelihoods of frontline workers, compared to non-frontline workers, 1) to ever test positive for SARs-Cov-2 and 2) to test positive for SARs-Cov-2 within the past two weeks. Net of other covariates including education level, county-level political environment, and rural residence, both healthcare and non-healthcare frontline workers had higher odds of having ever tested positive for SARs-Cov-2 across the study time period. Similarly, non-healthcare frontline workers were more likely to test positive in the previous 14 days. Conversely, healthcare frontline workers were less likely to have recently tested positive. Our findings suggest that occupational exposure has played an independent role in the uneven spread of the virus. In particular, non-healthcare frontline workers have experienced sustained higher risk of testing positive for SARs-Cov-2 compared to non-frontline workers. Alongside more worker protections, future COVID-19 and other highly infectious disease response strategies must be augmented by a more robust recognition of the role that structural factors, such as the highly stratified U.S. occupational landscape, have played in the uneven toll of the COVID-19 pandemic.

Neighborhood racial/ethnic segregation and BMI: A longitudinal analysis of the Multi-ethnic Study of Atherosclerosis.

BACKGROUND: Current knowledge regarding the relationship between segregation and body weight is derived mainly from cross-sectional data. Longitudinal studies are needed to provide stronger causal inference. METHODS: We use longitudinal data from the Multi-Ethnic Study of Atherosclerosis and apply an econometric fixed-effect strategy, which accounts for all time-invariant confounders, and compare results to conventional cross-sectional analyses. We examine the relationship between neighborhood-level racial/ethnic segregation, neighborhood poverty, and body mass index (BMI) separately for blacks, Hispanics, and whites. Segregation*gender interactions are included in all models. Neighborhood segregation was operationalized by the local Gi* statistic, which assesses the extent to which a neighborhood's racial/ethnic composition is under (Gi* statistic < 0) or over (Gi* statistic > 0) represented, given the composition in the broader (e.g., county) area. For black, Hispanic, and white stratified models, the Gi* statistic reflects the level of black, Hispanic, and white segregation, respectively. The Gi* statistic was scaled such that a unit change represents a 1.96 difference in the score. RESULTS: Cross-sectional models indicated higher segregation to be negatively associated with BMI for white females and positively associated for Hispanic females. No association was found for black females or males in general. In contrast, fixed-effect models adjusting for neighborhood poverty, higher segregation was positively associated with BMI for black females (coeff = 0.25 kg/m2; 95% CI = [0.03, 0.46]; p-value = 0.03) but negatively associated for Hispanic females (coeff = -0.17 kg/m2; 95% CI = [-0.33, -0.01]; p-value = 0.04) and Hispanic males (coeff = -0.20; 95% CI = [-0.39, -0.01]; p-value = 0.04). Further controls for socioeconomic factors fully explained the associations for Hispanics but not for black females. CONCLUSIONS: Fixed-effect results suggest that segregation's impacts might not be universally harmful, with possible null or beneficial impacts, depending on race/ethnicity. The persistent associations after accounting for neighborhood poverty indicate that the segregation-BMI link may operate through different pathways other than neighborhood poverty.

Triple jeopardy: the joint impact of racial segregation and neighborhood poverty on the mental health of black Americans.

PURPOSE: Because segregation may shield blacks from discrimination as well as increase their exposure to concentrated poverty, its net impact on the mental well-being of black Americans is unclear. We investigated the intersection between segregation, neighborhood poverty, race, and psychological well-being. METHODS: Using data from the nationally representative 2008-2013 National Health Interview Survey merged with U.S. Census data, we examined the association between black-white metropolitan segregation (D-index and P-index) and psychological distress (a binary indicator based on the Kessler 6 score ≥ 13) for blacks and whites. Furthermore, we assessed whether neighborhood poverty explains and/or modifies the association. Logistic regression models were estimated separately for blacks and whites as well as for each segregation index. RESULTS: Higher D- and P-indices were associated with higher odds of psychological distress for blacks. Neighborhood poverty explained some, but not all, of the association. In models that allowed for the impact of metropolitan segregation to vary by neighborhood poverty, higher segregation was found to be detrimental for blacks who resided in high poverty neighborhoods but not for those living in low poverty neighborhoods. We found no evidence that segregation impacts the mental health of whites-either detrimentally or beneficially-regardless of neighborhood poverty level. CONCLUSIONS: The impact of segregation differs by neighborhood poverty and race. The psychological harm of structural racism, resulting in segregation and concentrated poverty, is not additive but multiplicative, reflecting a "triple jeopardy" for blacks, whereby their mental health is detrimentally impacted by the compounded effects of both neighborhood distress and racial segregation.

Hispanic Segregation and Poor Health: It's Not Just Black and White.

Despite the importance of understanding the fundamental determinants of Hispanic health, few studies have investigated how metropolitan segregation shapes the health of the fastest-growing population in the United States. Using 2006-2013 data from the National Health Interview Survey, we 1) examined the relationship between Hispanic metropolitan segregation and respondent-rated health for US-born and foreign-born Hispanics and 2) assessed whether neighborhood poverty mediated this relationship. Results indicated that segregation has a consistent, detrimental effect on the health of US-born Hispanics, comparable to findings for blacks and black-white segregation. In contrast, segregation was salutary (though not always significant) for foreign-born Hispanics. We also found that neighborhood poverty mediates some, but not all, of the associations between segregation and poor health. Our finding of divergent associations between health and segregation by nativity points to the wide range of experiences within the diverse Hispanic population and suggests that socioeconomic status and structural factors, such as residential segregation, come into play in determining Hispanic health for the US-born in a way that does not occur among the foreign-born.

Neighborhood-level racial/ethnic residential segregation and incident cardiovascular disease: the multi-ethnic study of atherosclerosis.

BACKGROUND: Previous research suggests that neighborhood-level racial/ethnic residential segregation is linked to health, but it has not been studied prospectively in relation to cardiovascular disease (CVD). METHODS AND RESULTS: Participants were 1595 non-Hispanic black, 2345 non-Hispanic white, and 1289 Hispanic adults from the Multi-Ethnic Study of Atherosclerosis free of CVD at baseline (aged 45-84 years). Own-group racial/ethnic residential segregation was assessed by using the Gi* statistic, a measure of how the neighborhood racial/ethnic composition deviates from surrounding counties' racial/ethnic composition. Multivariable Cox proportional hazards modeling was used to estimate hazard ratios for incident CVD (first definite angina, probable angina followed by revascularization, myocardial infarction, resuscitated cardiac arrest, coronary heart disease death, stroke, or stroke death) over 10.2 median years of follow-up. Among blacks, each standard deviation increase in black segregation was associated with a 12% higher hazard of developing CVD after adjusting for demographics (95% confidence interval, 1.02-1.22). This association persisted after adjustment for neighborhood-level characteristics, individual socioeconomic position, and CVD risk factors (hazard ratio, 1.12; 95% confidence interval, 1.02-1.23). For whites, higher white segregation was associated with lower CVD risk after adjusting for demographics (hazard ratio, 0.88; 95% confidence interval, 0.81-0.96), but not after further adjustment for neighborhood characteristics. Segregation was not associated with CVD risk among Hispanics. Similar results were obtained after adjusting for time-varying segregation and covariates. CONCLUSIONS: The association of residential segregation with cardiovascular risk varies according to race/ethnicity. Further work is needed to better characterize the individual- and neighborhood-level pathways linking segregation to CVD risk.

Racial differences in receipt of adjuvant hormonal therapy among Medicaid enrollees in South Carolina diagnosed with breast cancer.

Several factors contribute to the pervasive Black-White disparity in breast cancer mortality in the U.S., such as tumor biology, access to care, and treatments received including adjuvant hormonal therapy (AHT), which significantly improves survival for hormone receptor-positive breast cancers (HR+). We analyzed South Carolina Central Cancer Registry-Medicaid linked data to determine if, in an equal access health care system, racial differences in the receipt of AHT exist. We evaluated 494 study-eligible, Black (n = 255) and White women (n = 269) who were under 65 years old and diagnosed with stages I-III, HR+ breast cancers between 2004 and 2007. Bivariate and multivariate analyses were conducted to assess receipt of ≥1 AHT prescriptions at any point in time following (ever-use) or within 12 months of (early-use) breast cancer diagnosis. Seventy-two percent of the participants were ever-users (70 % Black, 74 % White) and 68 % were early-users (65 % Black, 71 % White) of AHT. Neither ever-use (adjusted OR (AOR) = 0.75, 95 % CI 0.48-1.17) nor early-use (AOR = 0.70, 95 % CI 0.46-1.06) of AHT differed by race. However, receipt of other breast cancer-specific treatments was independently associated with ever-use and early-use of AHT [ever-use: receipt of surgery (AOR = 2.15, 95 % CI 1.35-3.44); chemotherapy (AOR = 1.97, 95 % CI 1.22-3.20); radiation (AOR = 2.33, 95 % CI 1.50-3.63); early-use: receipt of surgery (AOR = 2.03, 95 % CI 1.30-3.17); chemotherapy (AOR = 1.90, 95 % CI 1.20-3.03); radiation (AOR = 1.73, 95 % CI 1.14-2.63)]. No racial variations in use of AHT among women with HR+ breast cancers insured by Medicaid in South Carolina were identified, but overall rates of AHT use by these women is low. Strategies to improve overall use of AHT should include targeting breast cancer patients who do not receive adjuvant chemotherapy and/or radiation.

Air Pollution, Cardiovascular Outcomes, and Social Disadvantage: The Multi-ethnic Study of Atherosclerosis.

BACKGROUND: Social factors may enhance health effects of air pollution, yet empirical support is inconsistent. The interaction of social and environmental factors may only be evident with long-term exposures and outcomes that reflect long-term disease development. METHODS: We used cardiac magnetic resonance imaging data from the Multi-Ethnic Study of Atherosclerosis to assess left-ventricular mass index (LVMI) and left-ventricular ejection fraction (LVEF). We assigned residential concentrations of fine particulate matter (PM2.5), oxides of nitrogen, and nitrogen dioxide in the year 2000 to each participant in 2000 using prediction models. We examined modifying roles of four measures of adversity: race/ethnicity, racial/ethnic residential segregation, and socioeconomic status and psychosocial adversity as composite indices on the association between air pollution and LVMI or LVEF. RESULTS: Compared with whites, blacks showed a stronger adjusted association between air pollution and LVMI. For example, for each 5 µg/m greater PM2.5 level, whites showed a 1.0 g/m greater LVMI (95% confidence interval = -1.3, 3.1), while blacks showed an additional 4.0 g/m greater LVMI (95% confidence interval = 0.3, 8.2). Results were similar for oxides of nitrogen and nitrogen dioxide with regard to black race and LVMI. However, we found no evidence of a modifying role of other social factors or ethnic groups. Furthermore, we found no evidence of a modifying role for any social factors or racial/ethnic groups on the association between air pollution and LVEF. CONCLUSIONS: Our results suggest that racial group membership may modify the association between air pollution and cardiovascular disease.

Rural-urban differences in HPV testing for cervical cancer screening.

PURPOSE: Rural preventable cancer disparities are often attributed in part to lower screening rates secondary to compromised health care access. When considering higher cervical cancer incidence and mortality, existing analyses primarily consider differences in Pap testing rather than the preferred method of HPV testing, which is more sensitive in identifying severe cases of cervical dysplasia. METHODS: Logistic regression using data from the 2016 and 2018 Behavioral Risk Factor Surveillance System was used to examine urban and rural rates of cervical cancer screening according to national guidelines. Propensity score weighting was used to account for baseline sociodemographic differences between rural and urban populations in the 2016 landline sample. FINDINGS: In 2016 and 2018, rural women were less likely than urban women to have current cervical cancer screening. This disparity was explained by sociodemographic variables in 2016. Among women with current cervical cancer screening, rural women were significantly less likely than urban women to undergo HPV testing in both 2016 and 2018. CONCLUSION: Rural women with current cervical cancer screening were significantly less likely than their urban counterparts to have HPV testing. It is possible that updates to preventive care guidelines may be slower to reach rural providers, rural patients may be unaware that HPV testing was completed, or rural practice configuration may complicate the integration of HPV testing into clinical practice. Failure to undergo HPV testing may lead to delayed cervical dysplasia diagnosis, missed opportunities for early intervention, and contribute to rural/urban disparities in cervical cancer incidence and mortality.

Associations Between Residential Segregation and Incident Hypertension: The Multi-Ethnic Study of Atherosclerosis.

Background Residential segregation, a geospatial manifestation of structural racism, is a fundamental driver of racial and ethnic health inequities, and longitudinal studies examining segregation's influence on cardiovascular health are limited. This study investigates the impact of segregation on hypertension in a multiracial and multiethnic cohort and explores whether neighborhood environment modifies this association. Methods and Results Leveraging data from a diverse cohort of adults recruited from 6 sites in the United States with 2 decades of follow-up, we used race- and ethnicity-stratified Cox models to examine the association between time-varying segregation with incident hypertension in 1937 adults free of hypertension at baseline. Participants were categorized as residing in segregated and nonsegregated neighborhoods using a spatial-weighted measure. We used a robust covariance matrix estimator to account for clustering within neighborhoods and assessed effect measure modification by neighborhood social or physical environment. Over an average follow-up of 7.35 years, 65.5% non-Hispanic Black, 48.1% Chinese, and 53.7% Hispanic participants developed hypertension. Net of confounders, Black and Hispanic residents in segregated neighborhoods were more likely to develop hypertension relative to residents in nonsegregated neighborhoods (Black residents: hazard ratio [HR], 1.33; 95% CI, 1.09-1.62; Hispanic residents: HR, 1.33; 95% CI, 1.04-1.70). Results were similar but not significant among Chinese residents (HR, 1.20; 95% CI, 0.83-1.73). Among Black residents, neighborhood social environment significantly modified this association such that better social environment was associated with less pronounced impact of segregation on hypertension. Conclusions This study underscores the importance of continued investigations of groups affected by the health consequences of racial residential segregation while taking contextual neighborhood factors, such as social environment, into account.

Education and levels of salivary cortisol over the day in US adults.

BACKGROUND: Dysregulation of the hypothalamic-pituitary-adrenal axis is hypothesized to be an important pathway linking socioeconomic position and chronic disease. PURPOSE: This paper tests the association between education and the diurnal rhythm of salivary cortisol. METHODS: Up to eight measures of cortisol (mean of 5.38 per respondent) over 2 days were obtained from 311 respondents, aged 18-70, drawn from the 2001-2002 Chicago Community Adult Health Study. Multi-level models with linear splines were used to estimate waking level, rates of cortisol decline, and area-under-the-curve over the day, by categories of education. RESULTS: Lower education (0-11 years) was associated with lower waking levels of cortisol, but not the rate of decline of cortisol, resulting in a higher area-under-the-curve for more educated respondents throughout the day. CONCLUSIONS: This study found evidence of lower cortisol exposure among individuals with less education and thus does not support the hypothesis that less education is associated with chronic over-exposure to cortisol.

Examining the impacts of neighborhood poverty on bodyweight across the BMI distribution: a quantile and MSM modeling approach.

PURPOSE: Given that the relationships between higher BMI and adverse health outcomes are nonconstant and most pronounced at either ends of the BMI distribution, we assess the association between neighborhood poverty and BMI at multiple points along the BMI distribution. METHODS: Using data from the 1999 to 2015 Panel Study of Income Dynamics of Black and White adults in the United States, we estimate quantile regression models while jointly applying a marginal structural modeling approach to account for time-varying individual-level factors that may be simultaneously mediators as well as confounders. RESULTS: Neighborhood poverty was not found to be associated with bodyweight at any point along the BMI distribution for Black or White males. However, high neighborhood poverty, compared to low neighborhood poverty, predicted increases in bodyweight for Black females at the lower end of the BMI distribution and for White females at the higher end of the BMI distribution. No association was found between neighborhood poverty and BMI at the mean. CONCLUSIONS: Results identify the most vulnerable subgroups, suggesting that White females at the higher end of the BMI distribution as well as Black females at the lower end of the BMI distribution are particularly sensitive to obesogenic environments.

The Compounded Burden of Poverty on Mental Health for People with Disabilities.

Using 2008-2017 National Health Interview Survey data (N = 127,973), we investigated the relationship between income and psychological distress, measured by the Kessler 6 (K6) Scale (range 0-24), net of education, employment, and other sociodemographic characteristics. Regression models allowed the association to differ by disability status and number of disabilities. Lower income predicted higher psychological distress for those with and without disabilities. However, the adverse association was stronger among people with disabilities. Compared to those with incomes at least four times the poverty threshold, poor individuals with disabilities scored 2.81 (95% CI = 2.55,3.67) points higher on the K6 Scale versus 0.58 (95% CI = 0.48,0.69) points higher for those without disabilities. Differences in associations by number of disabilities were not statistically significant. Nonetheless, those with multiple disabilities were still at increased risk of distress because they were disproportionately poor. People with disabilities who are poor are particularly disadvantaged and should be prioritized in outreach efforts.

Hopelessness, depression, and early markers of endothelial dysfunction in U.S. adults.

OBJECTIVE: To examine whether the psychological traits of hopelessness and depressive symptoms are related to endothelial dysfunction. METHODS: Data are derived from a subsample of 434 respondents in the 2001 to 2003 Chicago Community Adult Health Study, a population-based survey designed to study the impact of psychological attributes, neighborhood environment, and socioeconomic circumstances on adults aged ≥18 years. Circulating biomarkers of endothelial dysfunction, including e-selectin, p-selectin, and soluble intercellular adhesion molecule-1 (s-ICAM1) were obtained from serum samples. Hopelessness was measured by responses to two questions, and depressive symptoms were measured by an 11-item version of the Center for Epidemiological Studies Depression scale. Multivariate regression models tested whether continuous levels of the biomarkers (natural log transformed) were associated with levels of hopelessness and depressive symptoms separately and concurrently. RESULTS: In age- and sex-adjusted models, hopelessness showed significant positive linear associations with s-ICAM1. In contrast, there was no significant linear association between hopelessness and e-selectin and p-selectin. Adjustment for clinical risk factors, including systolic pressure, chronic health conditions, smoking, and body mass index, did not substantively alter these associations. Results from similar models for depressive symptoms did not reveal any association with the three biomarkers of endothelial dysfunction. The associations between hopelessness and e-selectin and s-ICAM1 were robust to the inclusion of adjustments for depressive symptoms. CONCLUSIONS: Negative psychosocial traits may influence cardiovascular outcomes partially through their impact on the early stages of atherosclerosis, and specific psychosocial traits, such as hopelessness, may play a more direct role in this process than overall depressive symptoms.

Unequal burdens: assessing the determinants of elevated COVID-19 case and death rates in New York City's racial/ethnic minority neighbourhoods.

BACKGROUND: The disproportionate burden of the COVID-19 pandemic on racial/ethnic minority communities has revealed glaring inequities. However, multivariate empirical studies investigating its determinants are still limited. We document variation in COVID-19 case and death rates across different racial/ethnic neighbourhoods in New York City (NYC), the initial epicentre of the U.S. coronavirus outbreak, and conduct a multivariate ecological analysis investigating how various neighbourhood characteristics might explain any observed disparities. METHODS: Using ZIP-code-level COVID-19 case and death data from the NYC Department of Health, demographic and socioeconomic data from the American Community Survey and health data from the Centers for Disease Control's 500 Cities Project, we estimated a series of negative binomial regression models to assess the relationship between neighbourhood racial/ethnic composition (majority non-Hispanic White, majority Black, majority Hispanic and Other-type), neighbourhood poverty, affluence, proportion of essential workers, proportion with pre-existing health conditions and neighbourhood COVID-19 case and death rates. RESULTS: COVID-19 case and death rates for majority Black, Hispanic and Other-type minority communities are between 24% and 110% higher than those in majority White communities. Elevated case rates are completely accounted for by the larger presence of essential workers in minority communities but excess deaths in Black neighbourhoods remain unexplained in the final model. CONCLUSIONS: The unequal COVID-19 case burden borne by NYC's minority communities is closely tied to their representation among the ranks of essential workers. Higher levels of pre-existing health conditions are not a sufficient explanation for the elevated mortality burden observed in Black communities.

The Diverging Impacts of Segregation on Obesity Risk by Nativity and Neighborhood Poverty Among Hispanic Americans.

While racial residential segregation is frequently cited as a fundamental cause of racial health disparities, its health impacts for Hispanic Americans remain unclear. We argue that several shortcomings have limited our understanding of how segregation influences Hispanic health outcomes, most notably a failure to assess the possible diverging impacts of segregation by neighborhood poverty level and the conflation of segregation with ethnic enclaves. We use multiple years of restricted geocoded data from a nationally representative sample of the US population (2006-2013 National Health Interview Survey) to investigate the association between metropolitan-level Hispanic segregation and obesity by nativity and neighborhood poverty level. We find segregation to be protective against obesity for Hispanic immigrants who reside in low poverty neighborhoods. For Hispanic immigrants residing in higher neighborhood poverty, no association between segregation and obesity was found. Among US-born Hispanics, we observe an increased risk of obesity-but only for those in high poverty neighborhoods. No association was found for those in low and medium neighborhood poverty. Results provide evidence to indicate that the relationship between segregation and health for Hispanics is not uniform within a metropolitan area. In the case of obesity, the consequences of metropolitan Hispanic segregation can be either protective, null, or deleterious depending not only on local neighborhood context but also on nativity.

The dynamics of income and neighborhood context for population health: do long-term measures of socioeconomic status explain more of the black/white health disparity than single-point-in-time measures?

Socioeconomic status, though a robust and strong predictor of health, has generally been unable to fully explain the health gap between blacks and whites in the United States. However, at both the individual and neighborhood levels, socioeconomic status is often treated as a static factor with only single-point-in-time measurements. These cross-sectional measures fail to account for possible heterogeneous histories within groups who may share similar characteristics at a given point in time. As such, ignoring the dynamic nature of socioeconomic status may lead to the underestimation of its importance in explaining health and racial health disparities. In this study, I use national longitudinal data to investigate the relationship between neighborhood poverty and respondent-rated health, focusing on whether the addition of a temporal dimension reveals a stronger relationship between neighborhood poverty and health, and a greater explanatory power for the health gap between blacks and whites. Results indicate that long-term neighborhood measures are stronger predictors of health outcomes and explain a greater amount of the black/white health gap than single-point measures.