Metropolitan racial residential segregation and cardiovascular mortality: exploring pathways

The effects of residential segregation on cognition among U.S. older adults: a systematic review based on the social determinants of health model

OBJECTIVES

This systematic review aims to advance the understanding of the complicated effects of segregation on older adults' cognition and provide guidance for future research.

METHOD

A systematic review using the Social Determinants of Health framework to examine the relationship between segregation and cognition across the selected literature.

RESULTS

Eight papers met the criteria for inclusion. All selected studies examined the influence of living in a segregated area on older adults' cognition, covering older adults from different racial/ethnic groups. The association between segregation and cognition was found in different directions across different racial/ethnic groups. The effects can be varied depending on race/ethnicity, level of education, neighborhood socioeconomic status, or social context.

CONCLUSION

This review identified existing gaps in understanding the relationship between segregation and cognition. Future studies should carefully adopt the segregation measures, acknowledge the varying segregation experience among different racial/ethnic groups, and consider more social determinant factors in research.

The Association of Racial Residential Segregation and Survival After Out-of-Hospital Cardiac Arrest in the United States

Background

Residential segregation has been identified as drivers of disparities in health outcomes, but further work is needed to understand this association with clinical outcomes for out-of-hospital cardiac arrest (OHCA). We utilized Cardiac Arrest Registry to Enhance Survival (CARES) dataset to examine if there are differences in survival to discharge and survival with good neurological outcome, as well as likelihood of bystander CPR, using validated measures of racial, ethnic, and economic segregation.

Methods

We conducted a retrospective observational study using data from the Cardiac Arrest Registry to Enhance Survival (CARES) dataset to examine associations among adult OHCA patients. The primary predictor was the Index of Concentration at the Extremes (ICE), a validated measure that includes race, ethnicity, and income across three measures at the census tract level. The primary outcomes were survival to discharge and survival with good neurological status. A multivariable modified Poisson regression modeling approach with random effects at the EMS agency and hospital level was utilized.

Results

We identified 626,264 OHCA patients during the study period. The mean age was 62 years old (SD 17.2 years), and 35.7% (n =223,839) of the patients were female. In multivariable models, we observed an increased likelihood of survival to discharge and survival with good neurological outcome for those patients residing in predominately White population census tracts and higher income census tracts as compared to lower income Black and Hispanic/Latinx population census tracts (RR 1.24, CI 1.20-1.28) and a 32% increased likelihood of receiving bystander CPR in higher income census tracts as compared to reference (RR 1.32, CI 1.30-1.34).

Conclusions

In this study examining the association of measures of residential segregation and OHCA outcomes, there was an increased likelihood of survival to discharge, survival with good neurological status, and likelihood of receiving B-CPR for those patients residing in predominately White population and higher income census tracts when compared to predominately Black and/or Hispanic Latinx populations and lower income census tracts. This research suggests that areas impacted by residential and economic segregation are important targets for both public policy interventions as well as addressing disparities in care across the chain of survival for OHCA.

The impact of residential environment on older people's capabilities to live independently: a survey in Beijing

BACKGROUND

Studies have shown how environmental factors influence older people's health and functional limitations, which are crucial for achieving healthy aging. However, such a healthy aging model has been criticized for defining health as an absence of disease, because chronic conditions cannot be reversed through medical treatments. In response to such critiques, this study refers to Huber's positive health definition, arguing that health should not be defined as the absence of disease but as the ability to adapt and self-manage in the face of social, physical, and emotional challenges. There is a need to develop a community-based approach to healthy aging that considers how the residential environment enables older people to adapt and self-manage. Drawing on Sen's capability approach, this study proposes that such a community-based approach should provide a supportive environment to enable older people's capabilities to live independently.

METHODS

Using hierarchical multiple regression analysis of data from 650 older people (60 years and older) surveyed in Beijing, we unravel which features of the residential environment support older people' s capabilities to live independently and how these impacts differ depending on older people's frailty levels.

RESULTS

The results show that four environmental factors, namely perceived accessibility (B = 0.238, p < 0.001 for physical capability, B = 0.126, p < 0.001 for social capability, B = 0.195, p < 0.001 for psychological capability), pleasant surroundings (B = 0.079, p < 0.05 for physical capability, B = 0.065, p < 0.05 for social capability), meeting opportunities (B = 0.256, p < 0.001 for social capability, B = 0.188, p < 0,001 for psychological capability, and life convenience B = 0.089, p < 0.05 for physical capability, B = 0.153, p < 0.001 for psychological capability) positively affect older people's capabilities to live independently. These four environmental factors cause differences in older people's capabilities between different neighborhood types. Moderation analysis shows that meeting opportunities are more relevant for frail older people (B = 0.090, p < 0.001 for social capability, B = 0.086, p < 0.01 for psychological capability).

CONCLUSIONS

This study contributes to the literature by emphasizing the role of supportive residential environments in enabling older people to live independently. Furthermore, we identify four environmental factors that support older people's capabilities. Results can be used to develop effective community-based environmental support to enable older people to live independently.

Joint Modeling of Social Determinants and Clinical Factors to Define Subphenotypes in Out-of-Hospital Cardiac Arrest Survival: Cluster Analysis

Background

Machine learning clustering offers an unbiased approach to better understand the interactions of complex social and clinical variables via integrative subphenotypes, an approach not studied in out-of-hospital cardiac arrest (OHCA).

Objective

We conducted a cluster analysis for a cohort of OHCA survivors to examine the association of clinical and social factors for mortality at 1 year.

Methods

We used a retrospective observational OHCA cohort identified from Medicare claims data, including area-level social determinants of health (SDOH) features and hospital-level data sets. We applied k-means clustering algorithms to identify subphenotypes of beneficiaries who had survived an OHCA and examined associations of outcomes by subphenotype.

Results

We identified 27,028 unique beneficiaries who survived to discharge after OHCA. We derived 4 distinct subphenotypes. Subphenotype 1 included a distribution of more urban, female, and Black beneficiaries with the least robust area-level SDOH measures and the highest 1-year mortality (2375/4417, 53.8%). Subphenotype 2 was characterized by a greater distribution of male, White beneficiaries and had the strongest zip code-level SDOH measures, with 1-year mortality at 49.9% (4577/9165). Subphenotype 3 had the highest rates of cardiac catheterization at 34.7% (1342/3866) and the greatest distribution with a driving distance to the index OHCA hospital from their primary residence >16.1 km at 85.4% (8179/9580); more were also discharged to a skilled nursing facility after index hospitalization. Subphenotype 4 had moderate median household income at US $51,659.50 (IQR US $41,295 to $67,081) and moderate to high median unemployment at 5.5% (IQR 4.2%-7.1%), with the lowest 1-year mortality (1207/3866, 31.2%). Joint modeling of these features demonstrated an increased hazard of death for subphenotypes 1 to 3 but not for subphenotype 4 when compared to reference.

Conclusions

We identified 4 distinct subphenotypes with differences in outcomes by clinical and area-level SDOH features for OHCA. Further work is needed to determine if individual or other SDOH domains are specifically tied to long-term survival after OHCA.

Empirical evidence supporting the inclusion of multi-axes segregation in assessing US county health

To facilitate community action toward health equity, the County Health Rankings & Roadmaps program (CHR&R) assigns health rankings to US counties. The CHR&R conceptual model considers White-Black and White-non-White dissimilarity values to represent residential segregation as part of the family and social support subcomponent. As the US is greying and becoming more multi-racial-ethnic, the two-group White-centered segregation measures are inadequate to capture segregation among population subgroups in the US. Thus, we evaluate the relevancy of segregation measures that consider multiple racial, ethnic, and age groups in assessing US county health. Besides using the two-group dissimilarity index to measure White-centered racial segregation as conceptualized by CHR&R, the study also uses the multi-group generalized dissimilarity index to measure racial-ethnic-age segregation by counties, employing both aspatial and spatial versions of these measures. These indices are computed for counties using the 2015-2019 American Community Survey data at the census tract level. Descriptive statistics and regressions controlling for sociodemographic factors and healthcare access are used to assess the contributions of individual segregation measures to mortality (life expectancy, years of potential life lost and premature mortality) and morbidity (frequent mental distress, frequent physical distress, and low birth weight) indicators representing county health. Overall, correlations between these indicators and most segregation measures are significant but weak. Regression results show that many segregation measures are not significantly related to mortality indicators, but most are significantly associated with morbidity indicators, with the magnitudes of these associations higher for the multi-group racial-ethnic-age segregation index and its spatial version. Results provide evidence that racial-ethnic-age segregation is associated with county-level morbidity and that spatial measures capturing segregation of multiple population axes should be considered for ranking county health.

Association between racial residential segregation and Black-White disparities in cardiovascular disease mortality

BACKGROUND

Racial residential segregation is associated with racial health inequities, but it is unclear if segregation may exacerbate Black-White disparities in cardiovascular disease (CVD) mortality. This study aimed to assess associations between Black-White residential segregation, CVD mortality rates among non-Hispanic (NH) Black and NH White populations, and Black-White disparities in CVD mortality.

METHODS

This cross-sectional study analyzed Black-White residential segregation, as measured by county-level interaction index, of US counties, county-level CVD mortality among NH White and NH black adults aged 25 years and older, and county-level Black-White disparities in CVD mortality in years 2014 to 2017. Age-adjusted, county-level NH Black CVD mortality rates and NH White cardiovascular disease mortality rates, as well as group-level relative risk ratios for Black-White cardiovascular disease mortality, were calculated. Sequential generalized linear models adjusted for county-level socioeconomic and neighborhood factors were used to estimate associations between residential segregation and cardiovascular mortality rates among NH Black and NH White populations. Relative risk ratio tests were used to compare Black-White disparities in the most segregated counties to disparities in the least segregated counties.

RESULTS

We included 1,286 counties with ≥5% Black populations in the main analysis. Among adults aged ≥25 years, there were 2,611,560 and 408,429 CVD deaths among NH White and NH Black individuals, respectively. In the unadjusted model, counties in the highest tertile of segregation had 9% higher (95% CI, 1%-20% higher, P = .04) rates of NH Black CVD mortality than counties in the lowest tertile of segregation. In the multivariable adjusted model, the most segregated counties had 15% higher (95% CI, 0.5% to 38% higher, P = .04) rates of NH Black CVD mortality than the least segregated counties. In the most segregated counties, NH Black individuals were 33% more likely to die of CVD than NH White individuals (RR 1.33, 95% CI 1.32 to 1.33, P < .001).

CONCLUSIONS

Counties with increased Black-White residential segregation have higher rates of NH Black CVD mortality and larger Black-White disparities in CVD mortality. Identifying the causal mechanisms through which racial residential segregation widens disparities in CVD mortality requires further study.

Socioeconomic Mediation of Racial Segregation in Pancreatic Cancer Treatment and Outcome Disparities

OBJECTIVE

To understand the mediating effect of socioeconomic factors on the association between residential segregation and racial disparities in pancreatic cancer (PC).

BACKGROUND

Black patients with PC present at a later stage and have worse mortality than White patients. These disparities have been explained by the level of residential segregation.

METHODS

Data were obtained from Surveillance, Epidemiology, and End-Results (SEER) and included all Black and White patients who were diagnosed with PC between 2005 and 2015. The primary exposure variable was the Index of Dissimilarity, a validated measure of segregation. County-level socioeconomic variables from the US Census were assessed as mediators. The primary outcomes were advanced stage at diagnosis, surgical resection for localized disease, and overall mortality. Generalized structural equation modeling was used to assess the mediation of each of the socioeconomic variables.

RESULTS

Black patients in the highest levels of segregation saw a 12% increased risk [relative risk=1.12; 95% confidence interval (CI): 1.08, 1.15] of presenting at an advanced stage, 11% decreased likelihood of undergoing surgery (relative risk=0.89; 95% CI: 0.83, 0.94), and 8% increased hazards of death (hazard ratio=1.08; 95% CI: 1.03, 1.14) compared with White patients in the lowest levels. The Black share of the population, insurance status, and income inequality mediated 58% of the total effect on the advanced stage. Poverty and Black income immobility mediated 51% of the total effect on surgical resection. Poverty and Black income immobility mediated 50% of the total effect on overall survival.

CONCLUSIONS

These socioeconomic factors serve as intervention points for legislators to address the social determinants inherent to the structural racism that mediate poor outcomes for Black patients.

Residential Racial Segregation in Aortic Stenosis Diagnosis and Transcatheter Aortic Valve Implantation Among Medicare Patients

Background

Transcatheter aortic valve implantation (TAVI) rates are lower among Black compared with White individuals. However, it is unclear whether racial residential segregation, which remains common in the United States, contributes to observed disparities in TAVI rates.

Objectives

The purpose of this study was to evaluate the association between county-level racial segregation, and aortic stenosis (AS) diagnosis, management, and outcomes.

Methods

We identified Black and White Medicare fee-for-service beneficiaries age ≥65 years living in metropolitan areas of the United States (2016-2019). Using the American Community Survey's Black-White residential segregation index, a measure of geographic racial distribution, we determined segregation in each beneficiary's county of residence. Using hierarchical modeling, we determined the association between racial segregation and rates of AS diagnosis, TAVI receipt, and 30-day clinical outcomes (mortality, readmission, stroke).

Results

There were 29,264,075 beneficiaries, of whom 22% lived in a high-segregation county. Among Black beneficiaries, high-segregation county residence was associated with decreased rates of AS diagnosis (OR: 0.97; 95% CI: 0.96-0.98) and TAVI (OR: 0.89; 95% CI: 0.86-0.93) compared with low-segregation county residence. In contrast, among White beneficiaries, high-segregation county residence was associated with higher rates of AS diagnosis (OR: 1.02; 95% CI: 1.02-1.03) and no differences in TAVI (OR: 1.00; 95% CI: 0.99-1.00). Segregation and race were not independently associated with 30-day mortality.

Conclusions

Among Black Medicare fee-for-service beneficiaries, living in a high-segregation county was independently associated with decreased rates of AS diagnosis and TAVI, an association not seen among White beneficiaries. Residential racial segregation may contribute to racial disparities seen in AS care.

Racial Segregation Among Patients with Cholangiocarcinoma-Impact on Diagnosis, Treatment, and Outcomes

BACKGROUND

Racial segregation, an effect of historical marginalization, may impact cancer care and outcomes. We sought to examine the impact of racial segregation on the diagnosis, treatment, and outcomes of patients with cholangiocarcinoma (CCA).

PATIENTS AND METHODS

Data on Black and White patients with CCA were obtained from the linked SEER-Medicare database (2004-2015) and 2010 Census data. The index of dissimilarity (IoD), a validated measure of segregation, was used to assess Black-White disparities in stage disease presentation, surgery for localized disease, and cancer-specific mortality. Multivariable Poisson regression was performed, and competing risk regression analysis was used to determine cancer-specific survival.

RESULTS

Among 7480 patients with CCA, 90.2% (n = 6748) were White and 9.8% (n = 732) were Black. Overall, Black patients were more likely to reside in segregated areas compared with White patients (IoD, 0.42 vs. 0.38; p < 0.05). On multivariable Poisson regression, Black patients were more likely to present with advanced-stage disease [relative risk (RR) 1.17, 95% confidence interval (CI) 1.08-1.27; p < 0.001] and were less likely to undergo surgery for localized disease (RR 0.62, 95% CI 0.51-0.76; p < 0.001). Black patients also had worse cancer-specific survival (CSS) compared with White patients (median CSS: 4 vs. 8 months; p < 0.01). Black patients living in the highest areas of segregation had 40% increased hazard of mortality versus White patients residing in the lowest IoD areas (hazard ratio 1.40, 95% CI 1.10-1.80; p < 0.01).

CONCLUSION

Racial segregation, as a proxy for structural racism, had a marked effect on Black-White disparities among patients with CCA.

Predictors of outpatient follow-up care after adult emergency department asthma visits and association with 30-day outcomes

Objective: Guidelines recommend outpatient follow-up after emergency department visits for asthma, but factors related to rates of follow-up among the adult population are understudied. We sought to describe patient and community-level predictors of outpatient follow-up after an index ED visit for asthma and evaluate the association between outpatient follow-up visits and subsequent ED revisits.Methods: We conducted a retrospective observational cohort study of adult patients with emergency departments visits for asthma. The primary predictor was time to outpatient follow-up visit within 30 days of the index ED visit. The primary outcome was all-cause ED revisit within 30 days of the index ED visit. Cox proportional hazards regression was utilized to test the association between time to outpatient follow-up and hazard of ED revisit within 30 days.Results: Time to outpatient follow-up visit within 30 days was not significantly associated with hazard of 30-day ED revisit for asthma (HR 1.05; 95% CI 0.69-1.61). However, male patients (HR 1.45; 95% C 1.11-1.89) and smokers (HR 1.67; 95% CI 1.22-2.29) were significantly more likely to have an ED revisit.Conclusion: Younger, Black patients with Medicaid were less likely to receive follow-up care relative to older patients insured by Medicare. While follow-up visits were not associated with 30-day revisit rates, differences by age, race, and insurance status suggest disproportionate barriers to accessing care. Future research may target these subgroups to improve transitions of care after an ED visit for asthma.

A Bibliometric Analysis on Research Regarding Residential Segregation and Health Based on CiteSpace

Considerable scholarly attention has been directed to the adverse health effects caused by residential segregation. We aimed to visualize the state-of-the-art residential segregation and health research to provide a reference for follow-up studies. Employing the CiteSpace software, we uncovered popular themes, research hotspots, and frontiers based on an analysis of 1211 English-language publications, including articles and reviews retrieved from the Web of Science Core Collection database from 1998 to 2022. The results revealed: (1) The Social Science & Medicine journal has published the most studies. Roland J. Thorpe, Thomas A. LaVeist, Darrell J. Gaskin, David R. Williams, and others are the leading scholars in residential segregation and health research. The University of Michigan, Columbia University, Harvard University, the Johns Hopkins School of Public Health, and the University of North Carolina play the most important role in current research. The U.S. is the main publishing country with significant academic influence. (2) Structural racism, COVID-19, mortality, multilevel modelling, and environmental justice are the top five topic clusters. (3) The research frontier of residential segregation and health has significantly shifted from focusing on community, poverty, infant mortality, and social class to residential environmental exposure, structural racism, and health care. We recommend strengthening comparative research on the health-related effects of residential segregation on minority groups in different socio-economic and cultural contexts.

Racism and Older Black Americans' Health: a Systematic Review

We reviewed research that examines racism as an independent variable and one or more health outcomes as dependent variables in Black American adults aged 50 years and older in the USA. Of the 43 studies we reviewed, most measured perceived interpersonal racism, perceived institutional racism, or residential segregation. The only two measures of structural racism were birth and residence in a "Jim Crow state." Fourteen studies found associations between racism and mental health outcomes, five with cardiovascular outcomes, seven with cognition, two with physical function, two with telomere length, and five with general health/other health outcomes. Ten studies found no significant associations in older Black adults. All but six of the studies were cross-sectional. Research to understand the extent of structural and multilevel racism as a social determinant of health and the impact on older adults specifically is needed. Improved measurement tools could help address this gap in science.

Exposure to Neighborhood-Level Racial Residential Segregation in Young Adulthood to Midlife and Incident Subclinical Atherosclerosis in Black Adults: The Coronary Artery Risk Development in Young Adults Study

BACKGROUND

Neighborhood-level racial residential segregation has been linked to several cardiovascular disease risk factors and outcomes in Black adults, but its impact on subclinical atherosclerosis remains unknown. In addition, although the impact of segregation on health may vary over the life course, most studies have examined segregation exposure at a single point in time. This article takes a life course approach by examining associations of exposure to neighborhood-level racial residential segregation in young adulthood and patterns of exposure from young adulthood to midlife with coronary artery calcification (CAC) incidence.

METHODS

We used data on 1125 Black CARDIA study (Coronary Artery Risk Development in Young Adults) participants free of CAC. Residential segregation was assessed using the Gi* statistic and measured when participants were young adults (18-30 years old, in 1985-1986) and as the pattern from young adulthood to midlife (15 years later). Poisson regression with generalized estimating equations models was used to measure CAC incidence.

RESULTS

We found participants living in low segregation neighborhoods in young adulthood had 0.52 (rate ratio [95% CI: 0.28-0.98]) times lower risk of developing CAC compared with high segregation after adjusting for young adulthood sociodemographic characteristics and neighborhood poverty. Associations were attenuated and no longer statistically significant with adjustment for midlife CAC risk factors hypothesized to be on the causal pathway (rate ratio: 0.56 [95% CI: 0.29-1.09]). Findings for patterns of segregation over time suggest participants living in low segregation neighborhoods in young adulthood were less likely to develop CAC than those who started out in medium/high segregation neighborhoods, regardless of where they lived in midlife (rate ratio for increase from low to medium/high: 0.42 [95% CI: 0.19-0.95]; rate ratio for continuously low versus continuously medium/high segregation neighborhoods: 0.75 [95% CI: 0.31-1.83]).

CONCLUSIONS

We found that participants living in more segregated neighborhoods in young adulthood were more likely to develop CAC due at least in part to differences in CAC risk factor burden accumulated over follow-up.

All-cause mortality and residential racial and ethnic segregation and composition as experienced differently by individual-level race, ethnicity, and gender: Mortality disparities in american communities data

PURPOSE

Use a large nationally representative population to evaluate whether differences in mortality in relation to residential racial and ethnic segregation and diversity varied by gender, and race or Hispanic ethnicity in the United States.

METHODS

The Mortality Disparities in American Communities (MDAC) was used to evaluate mortality risk in relation to segregation. MDAC is a nationally representative record linkage of the 2008 American Community Survey data with mortality outcomes derived from the National Death Index through 2015. Gender-stratified mortality risk for White, Black, and Hispanic groups in relation to quartiles of residential segregation, composition, and diversity were modeled using parametric survival regression with an exponential distribution, adjusted for individual-level socioeconomic characteristics.

RESULTS

The study population included >3,950,000 individuals and >273,000 all-cause mortality outcomes. Statistically significant differences in associations were observed with Black segregation vs. Hispanic segregation across Black or Hispanic groups; some differences in stratification by gender for Hispanic and Non-Hispanic Black groups, but gender-stratified associations were more similar in non-Hispanic Whites.

CONCLUSIONS

Future multidisciplinary and ethnographic research is needed to identify the specific structural mechanisms by which these associations differ to support means by which to more effectively target public health interventions.

Ecological Associations Between Inclusionary Zoning Policies and Cardiovascular Disease Risk Prevalence: An Observational Study

BACKGROUND

Providing an adequate supply of affordable housing has become an increasingly difficult challenge for US cities. Inclusionary zoning (IZ) policies have become an increasingly popular response. Substantial research has demonstrated the health benefits of stable, affordable housing. There is anecdotal but not systematic evidence that IZ policies may be associated with some health benefits of affordable housing.

METHODS

We rely on data from the 2017 500 Cities Project, the 2016 to 2017 Lincoln Institute for Land Policy survey, and the 2011 to 2015 American Community Survey. We perform bivariate tests and cluster ordinary least squares regression to examine associations at the municipal level between having inclusionary zoning (IZ) policies, the attributes of those policies, and the prevalence of several cardiovascular outcomes.

RESULTS

Cardiovascular outcomes and socioeconomic characteristics were uniformly better in cities with IZ policies. IZ policies were associated with lower blood pressure (95% CI, -0.50 to -0.13), cholesterol (CI, -0.89 to -0.31), and blood pressure medication (CI, -0.57 to -0.03) prevalence. Some characteristics of IZ programs such as being mandatory, prioritizing rental development, and allocating a larger share of affordable housing are associated with cardiovascular risk prevalence.

CONCLUSIONS

Characteristics of IZ programs that ultimately benefit low-income residents are associated with favorable municipal-level cardiovascular health. Further, IZ policies could potentially address complex health challenges among economically vulnerable households.

The Impact of Racial Residential Segregation on Colorectal Cancer Outcomes and Treatment

OBJECTIVE

We sought to examine the impact of racial residential segregation on Black-White disparities in colorectal cancer diagnosis, surgical resection, and cancer-specific survival.

SUMMARY BACKGROUND DATA

There are clear Black-White disparities in colorectal cancer diagnosis and treatment with equally disparate explanations for these findings, including genetics, socioeconomic factors, and health behaviors.

METHODS

Data on Black and White patients with colorectal cancer were obtained from SEER between 2005 and 2015. The exposure of interest was the index of dissimilarity (IoD), a validated measure of segregation derived from 2010 Census data. Outcomes included advanced stage at diagnosis (AJCC stage IV), resection of localized disease (AJCC stage I-II), and cancer-specific survival. We used Poisson regression with robust error variance for the outcomes of interest and Cox proportional hazards were used to assess cancer-specific 5-year survival.

RESULTS

Black patients had a 41% increased risk of presenting at advanced stage per IoD [risk ratio (RR) 1.41, 95% confidence intervals (CI) 1.18, 1.69] and White patients saw a 17% increase (RR 1.17, 95%CI 1.04, 1.31). Black patients were 5% less likely to undergo surgical resection (RR 0.95, 95%CI 0.90, 0.99), whereas Whites were 5% more likely (RR 1.05, 95%CI 1.03, 1.07). Black patients had 43% increased hazards of cancer-specific mortality with increasing IoD (hazard ratio (HR) 1.43, 95%CI 1.17, 1.74).

CONCLUSIONS

Black patients with colorectal cancer living in more segregated counties are significantly more likely to present at advanced stage and have worse cancer-specific survival. Enduring structural racism in the form of residential segregation has strong impacts on the colorectal cancer outcomes.

Racial segregation and cognitive function among older adults in the United States: Findings from the REasons for Geographic and Racial Differences in Stroke (REGARDS) study

OBJECTIVES

Residential segregation is one of the fundamental features of health disparities in the United States. Yet little research has examined how living in segregated metropolitan areas is related to cognitive function and cognitive decline with age. We examined the association between segregation at the Metropolitan Statistical Area (MSA) level and trajectories of age-related cognitive function.

METHOD

Using data from Black and White older adults in the REasons for Geographic and Racial Differences in Stroke (REGARDS) study (n=18,913), we employed linear growth curve models to examine how living in racially segregated MSAs at baseline, measured by the degree of Non-Hispanic Black [NHB] isolation and NHB dissimilarity, was associated with trajectories of age-related cognitive function and how the associations varied by race and education.

RESULTS

Living in MSAs with greater levels of isolation was associated with lower cognitive function (b=-0.093, p<0.05) but was not associated with rates of change in cognitive decline with age. No effects of living in isolated MSAs were found for those with at least a high school education, but older adults with less than a high school education had lower cognitive function in MSAs with greater isolation (b=-0.274, p<0.05). The degree of dissimilarity was not associated with cognitive function. The association between segregation and cognitive function did not vary by race.

DISCUSSION

Metropolitan segregation was associated with lower cognitive function among older adults, especially for those with lower education living in racially isolated MSAs. This suggests complex associations between individual socioeconomic status, place, and cognitive health.

Effects of racial residential segregation on oral squamous cell carcinoma prognosis and survival

OBJECTIVES

The objective of this study is to evaluate the impact of racial residential segregation on disease prognosis and overall survival in Black patients diagnosed with oral squamous cell carcinoma (OSCC), relative to White patients.

MATERIALS AND METHODS

This retrospective cohort study identified individuals diagnosed with OSCC between 2005 and 2015 using the Surveillance, Epidemiology and End Results Database. Patients were included with cancers diagnosed in the following locations: lip, tongue, gum, floor of mouth, palate, and other/unspecified. Tumors located at the base of tongue, tonsils, and oropharynx were excluded. The primary predictor variable was the degree of residential segregation. The primary outcome was overall survival. A Kaplan Meier survival analysis and univariate/multivariate analyses were performed to account for potential confounders of survival.

RESULTS

A total of 35,769 patients met inclusion criteria. At the time of initial diagnosis, Black patients presented with OSCC of higher grades and more advanced stages (p < 0.001). A greater number of Black subjects were dead by the time of last follow-up compared to White subjects (p < 0.001). Across the entire spectrum of residential segregation, cumulative survival was worse among Black patients compared to Whites (p < 0.001). Multivariate analysis identified highly segregated counties, advanced age, higher grade/advanced stage at time of diagnosis, lack of surgery, and no chemotherapy treatment as poor prognostic factors for survival among Black individuals.

CONCLUSION

Racial residential segregation results in poorer long-term cancer survival among Black patients. Understanding the links between residential segregation and inequities in cancer outcomes will allow policymakers to better implement targeted, population-based interventions in treating various cancers.

National Disparities in COVID-19 Outcomes between Black and White Americans

BACKGROUND

There is very limited comprehensive information on disparate outcomes of black and white patients with COVID-19 infection. Reports from cities and states have suggested a discordant impact on black Americans, but no nationwide study has yet been performed. We sought to understand the differential outcomes for black and white Americans infected with COVID-19.

METHODS

We obtained case-level data from the Centers for Disease Control and Prevention on 76,442 white and 48,338 non-Hispanic Black patients diagnosed with COVID-19, ages 0 to >80+, outlining information on hospitalization, ICU admission, ventilation, and death outcomes. Multivariate Poisson regressions were used to estimate the association of race, treating white as the reference group, controlling for sex, age group, and the presence of comorbidities.

RESULTS

Black patients were generally younger than white, were more often female, and had larger numbers of comorbidities. Compared to white patients with COVID-19, black patients had 1.4 times the risk of hospitalization (RR 1.42, p < 0.001), and almost twice the risk of requiring ICU care (RR 1.68, p < 0.001) or ventilatory support (RR 1.81, p < 0.001) after adjusting for covariates. Black patients saw a 1.36 times increased risk of death (RR 1.36, p < 0.001) compared to white. Disparities between black and white outcomes increased with advanced age.

CONCLUSION

Despite the initial descriptions of COVID-19 being a disease that affects all individuals, regardless of station, our data demonstrate the differential racial effects in the United States. This current pandemic reinforces the need to assess the unequal effects of crises on disadvantaged populations to promote population health.

Residential Racial Segregation and Disparities in Breast Cancer Presentation, Treatment, and Survival

OBJECTIVE

To understand the role of racial residential segregation on Black-White disparities in breast cancer presentation, treatment, and outcomes.

SUMMARY OF BACKGROUND DATA

Racial disparities in breast cancer treatment and outcomes are well documented. Black individuals present at advanced stage, are less likely to receive appropriate surgical and adjuvant treatment, and have lower overall and stage-specific survival relative to White individuals.

METHODS

Using data from the Surveillance, Epidemiology, and End Results program, we performed a retrospective cohort study of Black and White patients diagnosed with invasive breast cancer from 2005 to 2015 within the 100 most populous participating counties. The racial index of dissimilarity was used as a validated measure of residential segregation. Multivariable regression was performed, predicting advanced stage at diagnosis (stage III/IV), surgery for localized disease (stage I/II), and overall stage-specific survival.

RESULTS

After adjusting for age at diagnosis, estrogen/progesterone receptor status, and region, Black patients have a 49% greater risk (relative risk [RR] 1.49 95% confidence interval [CI] 1.27, 1.74) of presenting at advanced stage with increasing segregation, while there was no observed difference in Whites (RR 1.04, 95% CI 0.93, 1.16). Black patients were 3% less likely to undergo surgical resection for localized disease (RR 0.97, 95% CI 0.95, 0.99) with increasing segregation, while Whites saw no significant difference. Black patients had a 29% increased hazard of death (RR 1.29, 95% CI 1.04, 1.60) with increasing segregation; there was no significant difference among White patients.

CONCLUSIONS

Our data suggest that residential racial segregation has a significant association with Black-White racial disparities in breast cancer. These findings illustrate the importance of addressing structural racism and residential segregation in efforts to reduce Black-White breast cancer disparities.

The Impact of Residential Segregation on Pancreatic Cancer Diagnosis, Treatment, and Mortality

BACKGROUND

Disparities in pancreatic cancer outcomes between black and white patients are well documented. This study aimed to use a more novel index to examine the impact of racial segregation on the diagnosis, management, and outcomes of pancreatic cancer in black patients compared with white patients.

METHODS

Black and white adults with pancreatic cancer in urban counties were identified using data from the 2018 submission of the Surveillance, Epidemiology and End Results (SEER) Program and the 2010 Census. The racial index of dissimilarity (IoD), a validated proxy of racial segregation, was used to assess the evenness with which whites and blacks are distributed across census tracts in each county. Multivariate Poisson regression was performed, and stepwise models were constructed for each of the outcomes. Overall survival was studied using the Kaplan-Meier method.

RESULTS

The study enrolled 60,172 adults with a diagnosis of pancreatic cancer between 2005 and 2015. Overall, the black patients (13.8% of the cohort) lived in more segregated areas (IoD, 0.67 vs 0.61; p < 0.05). They were less likely to undergo surgery for localized disease (relative risk [RR], 0.80; 95% confidence interval [CI], 0.76-0.83) and more frequently had a diagnosis of advanced-stage disease (RR, 1.09; 95% CI, 1.01-1.19) with increasing segregation. They also had shorter survival times (9.8 vs 11.4 months; p < 0.05).

CONCLUSIONS

Disparities in advanced-stage disease at diagnosis, surgery for localized disease, and overall survival are directly related to the degree of residential segregation, a proxy for structural racism. In searching for solutions to this problem, it is important to account for the historical marginalization of black Americans.

Racial/ethnic segregation and health disparities: Future directions and opportunities

Health researchers have investigated the association between racial segregation and racial health disparities with multilevel approaches. This study systematically reviews these multilevel studies and identifies broad trends and potential directions for future research on racial segregation and health disparities in the US. After searching databases including CINAHL and MEDLINE, we identified and systematically reviewed 66 articles published between 2003 and 2019 and found four major gaps in racial/ethnic segregation and health disparities: (a) the concept of segregation was rarely operationalized at the neighborhood level, (b) except for the evenness and exposure dimension, other dimensions of segregation are overlooked, (c) little attention was paid to the segregation between whites and non-black minorities, particularly Hispanics and Asians, and (d) mental health outcomes were largely absent. Future directions and opportunities include: First, other segregation dimensions should be explored. Second, the spatial scales for segregation measures should be clarified. Third, the theoretical frameworks for black and non-black minorities should be tested. Fourth, mental health, substance use, and the use of mental health care should be examined. Fifth, the long-term health effect of segregation has to be investigated, and finally, other competing explanations for why segregation matters at the neighborhood level should be answered.

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.

Mortgage Discrimination and Racial/Ethnic Concentration Are Associated with Same-Race/Ethnicity Partnering among People Who Inject Drugs in 19 US Cities

Racial/ethnic homophily in sexual partnerships (partners share the same race/ethnicity) has been associated with racial/ethnic disparities in HIV. Structural racism may partly determine racial/ethnic homophily in sexual partnerships. This study estimated associations of racial/ethnic concentration and mortgage discrimination against Black and Latino residents with racial/ethnic homophily in sexual partnerships among 7847 people who inject drugs (PWID) recruited from 19 US cities to participate in CDC's National HIV Behavioral Surveillance. Racial/ethnic concentration was defined by two measures that respectively compared ZIP code-level concentrations of Black residents to White residents and Latino residents to White residents, using the Index of Concentration at the Extremes. Mortgage discrimination was defined by two measures that respectively compared county-level mortgage loan denial among Black applicants to White applicants and mortgage loan denial among Latino applicants to White applicants, with similar characteristics (e.g., income, loan amount). Multilevel logistic regression models were used to estimate associations. Interactions of race/ethnicity with measures of racial/ethnic concentration and mortgage discrimination were added to the final multivariable model and decomposed into race/ethnicity-specific estimates. In the final multivariable model, among Black PWID, living in ZIP codes with higher concentrations of Black vs. White residents and counties with higher mortgage discrimination against Black residents was associated with higher odds of homophily. Living in counties with higher mortgage discrimination against Latino residents was associated with lower odds of homophily among Black PWID. Among Latino PWID, living in ZIP codes with higher concentrations of Latino vs. White residents and counties with higher mortgage discrimination against Latino residents was associated with higher odds of homophily. Living in counties with higher mortgage discrimination against Black residents was associated with lower odds of homophily among Latino PWID. Among White PWID, living in ZIP codes with higher concentrations of Black or Latino residents vs. White residents was associated with lower odds of homophily, but living in counties with higher mortgage discrimination against Black residents was associated with higher odds of homophily. Racial/ethnic segregation may partly drive same race/ethnicity sexual partnering among PWID. Future empirical evidence linking these associations directly or indirectly (via place-level mediators) to HIV/STI transmission will determine how eliminating discriminatory housing policies impact HIV/STI transmission.

The Autonomic Nervous System and Hypertension: Ethnic Differences and Psychosocial Factors

PURPOSE OF THE REVIEW

In the present paper, we overview emerging research examining the autonomic nervous system (ANS), especially the parasympathetic nervous system as indexed by heart rate variability (HRV), and the impact of psychosocial factors on hypertension-related disease in African Americans.

RECENT FINDINGS

A growing corpus of studies has shown that (1) usual patterns of compensatory sympathetic-parasympathetic regulation differ between African Americans and European Americans; (2) despite their enhanced cardiovascular disease risk profile, African Americans tend to exhibit higher HRV relative to European Americans; and (3) racial discrimination and other forms of psychosocial stress are associated with diminished HRV among African Americans. Significant disparities in hypertension-related disease exist such that African Americans have greater risk. The underlying factors associated with this increased risk are, to date, not fully understood. The present review provides evidence for a unique pattern of ANS regulation in African Americans and shows that psychosocial factors such as racial discrimination may contribute to this paradoxical situation.

Heart Disease Death Rates Among Blacks and Whites Aged ≥35 Years - United States, 1968-2015

PROBLEM/CONDITION

Heart disease is the leading cause of death in the United States. In 2015, heart disease accounted for approximately 630,000 deaths, representing one in four deaths in the United States. Although heart disease death rates decreased 68% for the total population from 1968 to 2015, marked disparities in decreases exist by race and state.

PERIOD COVERED

1968-2015.

DESCRIPTION OF SYSTEM

The National Vital Statistics System (NVSS) data on deaths in the United States were abstracted for heart disease using diagnosis codes from the eighth, ninth, and tenth revisions of the International Classification of Diseases (ICD-8, ICD-9, and ICD-10) for 1968-2015. Population estimates were obtained from NVSS files. National and state-specific heart disease death rates for the total population and by race for adults aged ≥35 years were calculated for 1968-2015. National and state-specific black-white heart disease mortality ratios also were calculated. Death rates were age standardized to the 2000 U.S. standard population. Joinpoint regression was used to perform time trend analyses.

RESULTS

From 1968 to 2015, heart disease death rates decreased for the total U.S. population among adults aged ≥35 years, from 1,034.5 to 327.2 per 100,000 population, respectively, with variations in the magnitude of decreases by race and state. Rates decreased for the total population an average of 2.4% per year, with greater average decreases among whites (2.4% per year) than blacks (2.2% per year). At the national level, heart disease death rates for blacks and whites were similar at the start of the study period (1968) but began to diverge in the late 1970s, when rates for blacks plateaued while rates for whites continued to decrease. Heart disease death rates among blacks remained higher than among whites for the remainder of the study period. Nationwide, the black-white ratio of heart disease death rates increased from 1.04 in 1968 to 1.21 in 2015, with large increases occurring during the 1970s and 1980s followed by small but steady increases until approximately 2005. Since 2005, modest decreases have occurred in the black-white ratio of heart disease death rates at the national level. The majority of states had increases in black-white mortality ratios from 1968 to 2015. The number of states with black-white mortality ratios >1 increased from 16 (40%) to 27 (67.5%).

INTERPRETATION

Although heart disease death rates decreased both for blacks and whites from 1968 to 2015, substantial differences in decreases were found by race and state. At the national level and in most states, blacks experienced smaller decreases in heart disease death rates than whites for the majority of the period. Overall, the black-white disparity in heart disease death rates increased from 1968 to 2005, with a modest decrease from 2005 to 2015.

PUBLIC HEALTH ACTION

Since 1968, substantial increases have occurred in black-white disparities of heart disease death rates in the United States at the national level and in many states. These increases appear to be due to faster decreases in heart disease death rates for whites than blacks, particularly from the late 1970s until the mid-2000s. Despite modest decreases in black-white disparities at the national level since 2005, in 2015, heart disease death rates were 21% higher among blacks than among whites. This study demonstrates the use of NVSS data to conduct surveillance of heart disease death rates by race and of black-white disparities in heart disease death rates. Continued surveillance of temporal trends in heart disease death rates by race can provide valuable information to policy makers and public health practitioners working to reduce heart disease death rates both for blacks and whites and disparities between blacks and whites.

Racial residential segregation, socioeconomic disparities, and the White-Black survival gap

OBJECTIVE

To evaluate the association between racial residential segregation, a prominent manifestation of systemic racism, and the White-Black survival gap in a contemporary cohort of adults, and to assess the extent to which socioeconomic inequality explains this association.

DESIGN

This was a cross sectional study of White and Black men and women aged 35-75 living in 102 large US Core Based Statistical Areas. The main outcome was the White-Black survival gap. We used 2009-2013 CDC mortality data for Black and White men and women to calculate age-, sex- and race adjusted White and Black mortality rates. We measured segregation using the Dissimilarity index, obtained from the Manhattan Institute. We used the 2009-2013 American Community Survey to define indicators of socioeconomic inequality. We estimated the CBSA-level White-Black gap in probability of survival using sequential linear regression models accounting for the CBSA dissimilarity index and race-specific socioeconomic indicators.

RESULTS

Black men and women had a 14% and 9% lower probability of survival from age 35 to 75 than their white counterparts. Residential segregation was strongly associated with the survival gap, and this relationship was partly, but not fully, explained by socioeconomic inequality. At the lowest observed level of segregation, and with the Black socioeconomic status (SES) assumed to be at the White SES level scenario, the survival gap is essentially eliminated.

CONCLUSION

White-Black differences in survival remain wide notwithstanding public health efforts to improve life expectancy and initiatives to reduce health disparities. Eliminating racial residential segregation and bringing Black socioeconomic status (SES) to White SES levels would eliminate the White-Black survival gap.

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.

Residential Segregation and Racial Cancer Disparities: A Systematic Review

BACKGROUND

This paper provides the first review of empirical studies of segregation and black-white cancer disparities.

METHODS

We searched all years of PubMed (through May 2016) using these terms: racial segregation, residential segregation, neighborhood racial composition (first terms) and (second terms) cancer incidence, mortality, survival, stage at diagnosis, screening. The 17 (of 668) articles that measured both segregation and a cancer outcome were retained.

RESULTS

Segregation contributed significantly to cancer and to racial cancer disparities in 70% of analyses, even after controlling for socioeconomic status and health insurance. Residing in segregated African-American areas was associated with higher odds of later-stage diagnosis of breast and lung cancers, higher mortality rates and lower survival rates from breast and lung cancers, and higher cumulative cancer risks associated with exposure to ambient air toxics. There were no studies of many types of cancer (e.g., cervical). Studies differed in their measure of segregation, and 40% used an invalid measure. Possible mediators of the segregation effect usually were not tested.

CONCLUSIONS

Empirical analysis of segregation and racial cancer disparities is a recent area of research. The literature is limited to 17 studies that focused primarily on breast cancer. Studies differed in their measure of segregation, yet segregation nonetheless contributed to cancer and to racial cancer disparities in 70% of analyses. This suggests the need for further research that uses valid measures of segregation, examines a variety of types of cancers, and explores the variables that may mediate the segregation effect.

Decomposing Black-White Disparities in Heart Disease Mortality in the United States, 1973-2010: An Age-Period-Cohort Analysis

Against the backdrop of late 20th century declines in heart disease mortality in the United States, race-specific rates diverged because of slower declines among blacks compared with whites. To characterize the temporal dynamics of emerging black-white racial disparities in heart disease mortality, we decomposed race-sex-specific trends in an age-period-cohort (APC) analysis of US mortality data for all diseases of the heart among adults aged ≥35 years from 1973 to 2010. The black-white gap was largest among adults aged 35-59 years (rate ratios ranged from 1.2 to 2.7 for men and from 2.3 to 4.0 for women) and widened with successive birth cohorts, particularly for men. APC model estimates suggested strong independent trends across generations ("cohort effects") but only modest period changes. Among men, cohort-specific black-white racial differences emerged in the 1920-1960 birth cohorts. The apparent strength of the cohort trends raises questions about life-course inequalities in the social and health environments experienced by blacks and whites which could have affected their biomedical and behavioral risk factors for heart disease. The APC results suggest that the genesis of racial disparities is neither static nor restricted to a single time scale such as age or period, and they support the importance of equity in life-course exposures for reducing racial disparities in heart disease.

Racial/ethnic residential segregation and cardiovascular disease risk

A growing body of research has examined whether racial/ethnic residential segregation contributes to health disparities, but recent findings in the literature, particularly with respect to cardiovascular disease (CVD) risk, have not been summarized. This review provides an overview of findings from studies of racial/ethnic residential segregation of non-Hispanic blacks and Hispanics with CVD risk published between January 2011 and July 2014. The majority of studies of black segregation showed higher segregation was related to higher CVD risk, although relationships were less clear for certain outcomes. Relationships among Hispanics were more mixed and appeared to vary widely by factors such as gender, country of origin, racial identity, and acculturation. Implications for research on racial/ethnic disparities in CVD and lingering gaps in the literature are discussed as well.

Residential ethnic segregation and stroke risk in Mexican Americans: the Brain Attack Surveillance in Corpus Christi project

OBJECTIVE

Residential ethnic segregation may operate through multiple mechanisms to increase stroke risk. The current study evaluated if residential ethnic segregation was associated with stroke risk in a bi-ethnic population.

DESIGN

Incident strokes were identified in Nueces County, Texas from 2000 to 2010. Residential ethnic segregation (range: 0-1) was derived for each census tract in the county (n=64) using 2000 US Census data, and categorized into: predominantly non-Hispanic White (NHW, <.3); ethnically mixed (.3-.7); predominantly Mexican American (MA, >.7). Multilevel Poisson regression models were fitted separately for NHWs and MAs to assess the association between residential ethnic segregation (predominantly NHW referent) and relative risk for stroke, adjusted for age category, sex and census tract-level median per capita income. Effect modification by age was also examined.

RESULTS

In adjusted models, residential ethnic segregation was not associated with stroke risk in either ethnic group. Effect modification by age was significant in both groups. Young MAs and NHWs living in predominantly MA census tracts were at greater relative risk for stroke than those living in predominantly NHW census tracts, but this association was only significant for MAs (MAs: RR = 2.38 [95% CI: 1.31-4.31]; NHWs: RR = 1.53 [95% CI: .92-2.52]).

CONCLUSION

Our findings demonstrate that residential ethnic segregation may influence downstream stroke risk in young MAs. Pathways between residential ethnic segregation and stroke in young MAs should be explored.

Advancing research on racial-ethnic health disparities: improving measurement equivalence in studies with diverse samples

To conduct meaningful, epidemiologic research on racial-ethnic health disparities, racial-ethnic samples must be rendered equivalent on other social status and contextual variables via statistical controls of those extraneous factors. The racial-ethnic groups must also be equally familiar with and have similar responses to the methods and measures used to collect health data, must have equal opportunity to participate in the research, and must be equally representative of their respective populations. In the absence of such measurement equivalence, studies of racial-ethnic health disparities are confounded by a plethora of unmeasured, uncontrolled correlates of race-ethnicity. Those correlates render the samples, methods, and measures incomparable across racial-ethnic groups, and diminish the ability to attribute health differences discovered to race-ethnicity vs. to its correlates. This paper reviews the non-equivalent yet normative samples, methodologies and measures used in epidemiologic studies of racial-ethnic health disparities, and provides concrete suggestions for improving sample, method, and scalar measurement equivalence.