Longitudinal Associations of Neighborhood-level Racial Residential Segregation with Obesity Among Blacks

Racial Residential Segregation and Mental Health During Pregnancy

Importance

Research suggests the social, physical, and socioeconomic contexts of residing in segregated neighborhoods may negatively affect mental health.

Objective

To assess the association between racial residential segregation and prenatal mental health among Asian, Black, Hispanic, and White individuals.

Design, Setting, and Participants

This population-based cross-sectional study was conducted in Kaiser Permanente Northern California (KPNC), an integrated health care delivery system. Participants included self-identified Asian, Black, Hispanic, and White pregnant individuals who attended at least 1 prenatal care visit at KPNC between January 1, 2014, and December 31, 2019. Data were analyzed from January 14, 2023, to August 15, 2024.

Exposures

Racial residential segregation, defined by the local Getis-Ord Gi* statistic, was calculated in each racial and ethnic group and categorized as low (<0), medium (0-1.96), or high (>1.96). A positive Gi* statistic indicates overrepresentation (greater clustering or segregation) of the racial and ethnic group in an index census tract and neighboring tracts compared with the larger surrounding geographic area.

Main Outcomes and Measures

Prenatal depression and anxiety defined by diagnoses codes documented in the electronic health record between the first day of the last menstrual period and the day prior to birth.

Results

Among the 201 115 participants included in the analysis (mean [SD] age, 30.8 [5.3] years; 26.8% Asian, 6.6% Black, 28.0% Hispanic, and 38.6% White), prenatal depression and anxiety were highest in Black individuals (18.3% and 18.4%, respectively), followed by White (16.0% and 18.2%, respectively), Hispanic (13.0% and 14.4%, respectively), and Asian (5.7% and 6.4%, respectively) individuals. Asian (40.8% vs 31.1%) and Black (43.3% vs 22.6%) individuals were more likely to live in neighborhoods with high vs low segregation, while Hispanic individuals were equally likely (34.3% vs 34.7%). High compared with low segregation was associated with greater odds of prenatal depression (adjusted odds ratio [AOR], 1.25 [95% CI, 1.10-1.42]) and anxiety (AOR, 1.14 [95% CI, 1.00-1.29]) among Black individuals. High segregation was associated with lower odds of prenatal depression among Asian (AOR, 0.75 [95% CI, 0.69-0.82]), Hispanic (AOR, 0.88 [95% CI, 0.82-0.94]), and White (AOR, 0.91 [95% CI, 0.86-0.96]) individuals. Similar associations were found for anxiety among Asian (AOR, 0.80 [95% CI, 0.73-0.87]) and Hispanic (AOR, 0.88 [95% CI, 0.82-0.93]) but not White (AOR, 0.95 [95% CI, 0.90-1.00]) individuals.

Conclusions and Relevance

In this cross-sectional study, racial and ethnic residential segregation was associated with worse prenatal mental health for Black individuals but better mental health for Asian, Hispanic, and White individuals. Policies reducing segregation and its impact may improve mental health outcomes in pregnant Black individuals.

Relationship between body mass index and residential segregation in large cities of Latin America

BACKGROUND

Obesity is a global health problem, and its connection with social and environmental factors is well-established. Social factors, such as urban segregation, may impact obesity through various mechanisms, including food and physical activity environments, as well as social norms and networks. This multilevel study aims to examine the effect of socio-economic residential segregation of Latin American cities on the obesity of individuals within those cities.

METHODS

We analyzed data from national surveys for a total of 59,340 individuals of 18-70 years of age, conducted in 156 cities across Brazil, Chile, Colombia, and Mexico between 2007 and 2013. We adjusted two-level linear mixed models for body mass index (BMI) stratified by sex and country, controlling for age, educational level and poverty. Separate models were built for dissimilarity and isolation segregation indices.

RESULTS

The relationships between segregation indices and BMI were mostly not statistically significant, and in some cases, they were opposite to what was expected. The only significant relationships were observed in Colombian men, using the dissimilarity index (-7.5 [95% CI: -14.4, -0.5]) and in Colombian women, using the isolation index (-7.9 [95% CI: -14.1, -1.7]).

CONCLUSIONS

While individual-level factors cannot fully explain differences among people in the same city, segregation indices may help. However, we found that in some cases, the relationship between BMI and segregation indices is opposite to what is expected based on prior literature. This should be considered in examining the phenomenon. Further research on obesogenic environments in segregated neighborhoods could provide valuable evidence.

Assessing the Influence of Redlining on Intergenerational Wealth and Body Mass Index Through a Quasi-experimental Framework

BACKGROUND

Higher levels of body mass index (BMI), particularly for those who have obesity defined as class II and III, are correlated with excess risk of all-cause mortality in the USA, and these risks disproportionately affects marginalized communities impacted by systemic racism. Redlining, a form of structural racism, is a practice by which federal agencies and banks disincentivized mortgage investments in predominantly racialized minority neighborhoods, contributing to residential segregation. The extent to which redlining contributes to current-day wealth and health inequities, including obesity, through wealth pathways or limited access to health-promoting resources, remains unclear. Our quasi-experimental study aimed to investigate the generational impacts of redlining on wealth and body mass index (BMI) outcomes.

METHODS

We leveraged the Panel Study of Income Dynamics (PSID) and Home Owners' Loan Corporation (HOLC) maps to implement a geographical regression discontinuity design, where treatment assignment is randomly based on the boundary location of PSID grandparents in yellowlined vs. redlined areas and used outcome measures of wealth and mean BMI of grandchildren. To estimate our effects, we used a continuity-based approach and applied data-driven procedures to identify the most appropriate bandwidths for a valid estimation and inference.

RESULTS

In our fully adjusted model, grandchildren with grandparents living in redlined areas had lower average household wealth (β =  - $35,419; 95% CIrbc - $37,423, - $7615) and a notably elevated mean BMI (β = 7.47; 95% CIrbc - 4.00, 16.60), when compared to grandchildren whose grandparents resided in yellowlined regions.

CONCLUSION

Our research supports the idea that redlining, a historical policy rooted in structural racism, is a key factor contributing to disparities in wealth accumulation and, conceivably, body mass index across racial groups.

Evaluating Socioeconomic, Racial, and Ethnic Disparities in Survival Among Patients Undergoing Allogeneic Hematopoietic Stem Cell Transplants

This study was undertaken to monitor potential disparities in survival after allogeneic hematopoietic stem cell transplantation (HSCT) with the aim of optimizing access and outcomes for minority and low-income patients. We analyzed 463 patients transplanted over a 72-month study period with a median 19-month follow-up, focused on differences by individual patient race/ethnicity and patients' household income derived from geocoded addresses at the census block group level. Patient sociodemographic and clinical characteristics were abstracted from electronic health records and our HSCT registry, including disease category and status, donor age, transplant type, and conditioning. Approximately, 15% of HSCT patients were non-Hispanic Black or Hispanic with a similar proportion from block groups below the median metropolitan Index of Concentration at the Extremes income score. The overall survival probability was 61.8% at 36 months. Non-Hispanic white (63.6%) and especially Hispanic patients (49.2%) had lower survival probabilities at 36 months than non-Hispanic Black patients (75.6%, p = 0.04). There were no other patient characteristics significantly associated with survival at the p < 0.01 level. The lack of significant differences likely reflects the careful selection of patients for transplants. However, the proportion of minority and low-income patients relative to expected disease prevalence in our area population raises important considerations about which patients successfully make it to transplant. We conclude with recommendations to increase the diversity of patients who receive HSCT by reviewing potential barriers in the transplant referral and selection process and advocating for needed psychosocial and community resources.

Associations of Historical Redlining With BMI and Waist Circumference in Coronary Artery Risk Development in Young Adults

Introduction

Historical maps of racialized evaluation of mortgage lending risk (i.e., redlined neighborhoods) have been linked to adverse health outcomes. Little research has examined whether living in historically redlined neighborhoods is associated with obesity, differentially by race or gender.

Methods

This is a cross-sectional study to examine whether living in historically redlined neighborhoods is associated with BMI and waist circumference among Black and White adults in 1985-1986. Participants' addresses were linked to the 1930s Home Owners' Loan Corporation maps that evaluated mortgage lending risk across neighborhoods. The authors used multilevel linear regression models clustered on Census tract, adjusted for confounders to estimate main effects, and stratified, and interaction models by (1) race, (2) gender, and (3) race by gender with redlining differentially for Black versus White adults and men versus women. To better understand strata differences, they compared Census tract-level median household income across race and gender groups within Home Owners' Loan Corporation grade.

Results

Black adults (n=2,103) were more likely than White adults (n=1,767) to live in historically rated hazardous areas and to have higher BMI and waist circumference. Redlining and race and redlining and gender interactions for BMI and waist circumference were statistically significant (p<0.10). However, in stratified analyses, the only statistically significant associations were among White participants. White participants living in historically rated hazardous areas had lower BMI (β = - 0.63 [95% CI= -1.11, -0.15]) and lower waist circumference (β = - 1.50 [95% CI= -2.62, -0.38]) than those living in declining areas. Within each Home Owners' Loan Corporation grade, residents in White participants' neighborhoods had higher incomes than those living in Black participants' neighborhoods (p<0.0001). The difference was largest within historically redlined areas. Covariate associations differed for men, women, Black, and White adults, explaining the difference between the interaction and the stratified models. Race by redlining interaction did not vary by gender.

Conclusions

White adults may have benefitted from historical redlining, which may have reinforced neighborhood processes that generated racial inequality in BMI and waist circumference 50 years later.

Impact of Residential Segregation on Healthcare Utilization and Perceived Quality of Care Among Informal Caregivers in the United States

This study aimed to investigate the impact of racial residential segregation on healthcare utilization and perceived quality of care among informal caregivers in the US. It further assessed potential variations in the estimated impact across caregivers' race and socioeconomic status. We used data from the Health Information National Trends Survey Data Linkage Project (fielded in 2020) for a sample of 583 self-identified informal caregivers in the US. Fitting a series of regression models with the maximum likelihood estimation, we computed the beta coefficients (β) of interest and their associated Wald 95% confidence limits (CI). Caregivers who resided in areas with higher segregation, compared to those living in lower segregated areas, were less likely to visit a healthcare professional [β =  - 2.08; Wald 95%CI - 2.093, - 2.067] (moderate); [β =  - 2.53; Wald 95%CI - 2.549, - 2.523] (high)]. Further, caregivers residing in moderate [β =  - 0.766; Wald 95%CI - 0.770, - 0.761] and high [β =  - 0.936; Wald 95%CI - 0.941, - 0.932] segregation regions were less likely to perceive a better quality of care compared to those located in low segregation areas. Moreover, as segregation level increased, Black caregivers were less likely to see a health professional, less frequently used healthcare services, and had poorer perceived healthcare quality when compared to Whites. Our findings indicate that higher residential segregation is associated with lower healthcare utilization, such as visiting a healthcare professional, and poorer perceived healthcare quality among informal caregivers. Given the essential role of informal caregivers in the current healthcare system, it is vital to investigate and address challenges associated with access to and quality of essential healthcare services to improve caregivers' health and well-being, specifically for caregivers of minority backgrounds.

Health Inequities in the USA: a Role for Dietary Acid Load? Results from the National Health and Nutrition Examination Surveys

BACKGROUND

Cardiovascular disease and obesity affect racial and ethnic minorities disproportionally. Public health research suggests that suboptimal diet is an important contributor to health disparities. Limited evidence points at an increased dietary acid load (DAL) in certain ethnic groups. DAL is determined by the balance of acidifying foods and alkaline foods, and elevated DAL scores have been associated with numerous chronic lifestyle-related conditions. The present analysis investigated DAL scores among ethnic groups in the USA.

METHODS

Using cross-sectional data from the National Health and Nutrition Examination surveys (NHANES, 2007-2016), we contrasted several markers of DAL (potential renal acid load (PRAL) and net endogenous acid production (NEAP)) between Non-Hispanic Whites, Non-Hispanic Blacks, Mexican Americans, Other Hispanics, and Other Race. The comparison included crude scores and adjusted scores following multivariate linear regression.

RESULTS

The sample for this analysis comprised 19,565 participants, which may be extrapolated to represent 156,116,471 United States Americans. When compared to Non-Hispanic Whites, Non-Hispanic Blacks and Mexican Americans had significantly higher crude DAL scores. PRALR was highest in Mexican Americans (20.42 (0.61) mEq/day), followed by Non-Hispanic Blacks (17.47 (0.42) mEq/day). Crude NEAPF was highest in Non-Hispanic Blacks (64.66 (0.43) mEq/day), and almost 9 mEq/day higher compared to Non-Hispanic Whites (55.78 (0.39) mEq/day). Multivariate linear regression adjusting for confounders revealed comparable interracial DAL differences.

CONCLUSIONS

We found significant DAL differences across the investigated ethnic groups. Whether these differences potentially play a role in population health inequity in the USA will be subject to additional research.

Residence in Hispanic/Latino Immigrant Neighborhoods, Away-From-Home Food Consumption, and Diet Quality: The Hispanic Community Health Study/Study of Latinos

BACKGROUND

Hispanics/Latinos are disproportionately burdened by nutrition-related diseases but immigrants appear healthier than their US-born counterparts. Neighborhoods characterized by high Hispanic/Latino immigrant segregation may provide environments to support healthier diets.

OBJECTIVE

To examine whether or not Hispanic/Latino immigrant segregation is associated with frequency of away-from-home food consumption and diet quality in a large, diverse sample of Hispanic/Latino adults.

DESIGN

Cross-sectional baseline data from the Hispanic Community Health Study/Study of Latinos were analyzed (2008-2011). Residential addresses were geocoded and linked to census tract-level 2008-2012 American Community Survey data. Hispanic/Latino immigrant segregation was characterized using the local Getis-Ord Gi∗ statistic, a spatial clustering measure that quantifies the extent to which demographically similar neighborhoods group together.

PARTICIPANTS/SETTING

Participants were 15,661 adults in the Hispanic Community Health Study/Study of Latinos, a population-based study of Hispanic/Latinos aged 18 to 74 years from 4 US regions (Bronx, NY; Chicago, IL; Miami, FL; and San Diego, CA).

MAIN OUTCOME MEASURES

Away-from-home food consumption was assessed using a modified dietary behavior questionnaire. Diet quality was assessed using the Alternate Healthy Eating Index 2010 (range = 0 to 110) from two 24-hour recalls.

STATISTICAL ANALYSIS

Multilevel linear and logistic regression with multilevel weights were used to estimate associations between Hispanic/Latino immigrant segregation (low, medium, or high) with Alternate Healthy Eating Index 2010 score, and away-from-home food consumption (≥3 vs <3 times/week) in separate models, respectively. The mediating role of neighborhood poverty and whether or not associations differed by nativity were also assessed.

RESULTS

Higher levels of segregation were associated with higher adjusted mean Alternate Healthy Eating Index 2010 scores; estimates were further magnified after accounting for neighborhood poverty (low segregation: reference category; medium segregation: β = 2.43, 95% CI 1.10 to 3.77; and high segregation: β = 1.63, 95% CI .43 to 2.82). Associations were strongest among the foreign-born compared with the US-born. There was no association between segregation and away-from-home food consumption.

CONCLUSIONS

These results highlight the potential role of Hispanic/Latino immigrant neighborhoods in supporting healthy diets among residents, especially immigrants.

Social determinants of health, health disparities, and adiposity

Social determinants of health (SDoH), or the socioeconomic, environmental, and psychosocial conditions in which individuals spend their daily lives, substantially influence obesity as a cardiovascular disease (CVD) risk factor. The coronavirus disease 2019 (COVID-19) pandemic highlighted the converging epidemics of obesity, CVD, and social inequities globally. Obesity and CVD serve as independent risk factors for COVID-19 severity and lower-resourced populations most impacted by adverse SDoH have the highest COVID-19 mortality rates. Better understanding the interplay between social and biologic factors that contribute to obesity-related CVD disparities are important to equitably address obesity across populations. Despite efforts to investigate SDoH and their biologic effects as drivers of health disparities, the connections between SDoH and obesity remain incompletely understood. This review aims to highlight the relationships between socioeconomic, environmental, and psychosocial factors and obesity. We also present potential biologic factors that may play a role in the biology of adversity, or link SDoH to adiposity and poor adipo-cardiology outcomes. Finally, we provide evidence for multi-level obesity interventions targeting multiple aspects of SDoH. Throughout, we emphasize areas for future research to tailor health equity-promoting interventions across populations to reduce obesity and obesity-related CVD disparities.

Contribution of social, behavioral, and contextual exposures to Black-White disparities in incident obesity: The CARDIA study

OBJECTIVE

The aim of this study was to quantify the contributions of socioeconomic, psychosocial, behavioral, reproductive, and neighborhood exposures in young adulthood to Black-White differences in incident obesity.

METHODS

In the Coronary Artery Risk Development in Young Adults (CARDIA) study, 4488 Black or White adults aged 18 to 30 years without obesity at baseline (1985-1986) were followed over 30 years. Sex-specific Cox proportional hazard models were used to estimate Black-White differences in incident obesity. Models were adjusted for baseline and time-updated indicators.

RESULTS

During follow-up, 1777 participants developed obesity. Black women were 1.87 (95% CI: 1.63-2.13) times more likely and Black men were 1.53 (95% CI: 1.32-1.77) times more likely to develop obesity than their White counterparts after adjusting for age, field center, and baseline BMI. Baseline exposures explained 43% of this difference in women and 52% in men. Time-updated exposures explained more of the racial difference in women but less for men, compared with baseline exposures.

CONCLUSIONS

Adjusting for these exposures accounted for a substantial but incomplete proportion of racial disparities in incident obesity. Remaining differences may be explained by incomplete capture of the most salient aspects of these exposures or potential variation in the impact of these exposures on obesity by race.

Racism-Related Experiences and Adiposity: Findings From the Black Women's Experiences Living With Lupus (BeWELL) Study

INTRODUCTION

Studies suggest that higher rates of excess adiposity in Black women may in part be driven by experiences of racism. Racial microaggressions, which include unintentional and subtle slights and insults, and responses to racism such as racism-related vigilance, may contribute to adiposity in this population. This study examined these understudied racism-related facets as well as interpersonal racial discrimination in relation to adiposity in a cohort of Black women with systemic lupus erythematosus.

METHODS

Data are from the Black Women's Experiences Living with Lupus (BeWELL) Study (2015-2017; n = 432). Linear regression was used to examine adiposity measures (body mass index [BMI], percent body fat, and waist-to-hip ratio), measured during a physical examination, in relation to self-reported measures of racial microaggressions, racism-related vigilance, and interpersonal racial discrimination.

RESULTS

Compared with infrequent microaggressions, very frequent experiences of microaggressions were associated with 2.9 kg/m2 higher BMI (95% confidence [CI], 0.63-5.21) and 2.6% higher body fat (95% CI, 0.32-4.80) after adjusting for covariates. Racism-related vigilance, measured continuously, was positively associated with BMI (b = 0.84; 95% CI-0.08, 1.61) and percent body fat (b = 0.89; 95% CI, 0.14-1.64). Very frequent experiences of everyday discrimination were associated with a higher BMI (b = 2.70; 95% CI, 0.58-4.83) and waist-to-hip ratio (b = 0.32; 95% CI, 0.09-0.55) compared with less frequent everyday discrimination.

CONCLUSIONS

Our results suggest that various dimensions of racism are associated with excess adiposity. Efforts to address obesity among Black women with systemic lupus erythematosus should consider these multiple aspects to decrease racial inequities in adiposity.

Obesity among African American people in the United States: A review

Obesity is a growing public health crisis in the United States and is associated with a substantial disease burden due to an increased risk for multiple complications, including cardiovascular and metabolic diseases. As highlighted in this review, obesity disproportionately affects the African American population, women in particular, regardless of socioeconomic status. Structural racism remains a major contributor to health disparities between African American people and the general population, and it limits access to healthy foods, safe spaces to exercise, adequate health insurance, and medication, all of which impact obesity prevalence and outcomes. Conscious and unconscious interpersonal racism also impacts obesity care and outcomes in African American people and may adversely affect interactions between health care practitioners and patients. To reduce health disparities, structural racism and racial bias must be addressed. Culturally relevant interventions for obesity management have been successfully implemented that have shown benefits in weight management and risk-factor reduction. Strategies to improve health care practitioner-patient engagement should also be implemented to improve health outcomes in African American people with obesity. When managing obesity in African American people, it is critical to take a holistic approach and to consider an individual's social and cultural context in order to implement a successful treatment strategy.

Length of Residency in the United States and Obesity Across Race/Ethnicity

We examined whether the association between length of US residency (LUSR) and obesity is dependent on race/ethnicity and sex, among foreign-born individuals. Adult's body mass index (N = 151,756) were analyzed using the 2013-2017 National Health Interview Surveys. Among foreign-born adults living in the US < 5 years, non-Hispanic Blacks and Hispanics had the highest obesity prevalence compared to non-Hispanic Whites and Asians. Blacks and Hispanics also had the highest incremental percentage point increase in obesity (13%) between < 5 years and ≥ 15 years LUSR. Foreign-born black men had the lowest obesity prevalence among men in the US < 5 years (5.3%) but had the sharpest percentage point increase in obesity among men in the US ≥ 15 years (21%). Foreign-born black women in the US < 5 years had a 30.1% obesity prevalence. Obesity prevention interventions should account for differences in LSUR among foreign-born individuals.

Multi-dimensional Profiles of Risk and Their Association with Obesity-Severity in Low-Income Black Women

Multi-level risk factors underlie disproportionate obesity rates among Black women. Latent class analysis of multi-level risk and protective factors among low-income Black women (n = 917) in 2011 (Pittsburgh, PA). Data were collected via in-person survey, interviewer-assisted online dietary recalls, and from 2011 crime records. Multinomial logistic regression estimated cross-sectional associations between latent classes and obesity severity derived from measured anthropometry. Latent class analysis identified four groups of women according to their motivations and intentions to be healthy, socioeconomic and health burden, and neighborhood risk: Class 1 = Very high burden (n = 283), Class 2 = Health motivated, low burden, low neighborhood risk (n = 231), Class 3 = High burden and high neighborhood risk (n = 106), and Class 4 = Low burden and low neighborhood risk (n = 297). Class 3 = High burden and high neighborhood risk women had the highest severe obesity risk. Multi-level strategies may support low-income Black women women's resilience to obesity who face neighborhood-level and socioeconomic stressors.

The long shadow of residential racial segregation: Associations between childhood residential segregation trajectories and young adult health among Black US Americans

Residential racial segregation is a key manifestation of anti-Black structural racism, thought to be a fundamental cause of poor health; evidence has shown that it yields neighborhood disinvestment, institutional discrimination, and targeting of unhealthy products like tobacco and alcohol. Yet research on the long-term impacts of childhood exposure to residential racial segregation is limited. Here, we analyzed data on 1823 Black participants in the Panel Study of Income Dynamics, estimating associations between childhood segregation trajectories and young adult health. Black young adults who consistently lived in high-segregation neighborhoods throughout childhood experienced unhealthier smoking and drinking behaviors and higher odds of obesity compared to other trajectory groups, including children who moved into or out of high-segregation neighborhoods. Results were robust to controls for neighborhood and family poverty. Findings underscore that for Black children who grow up in segregated neighborhoods, the roots of structurally-determined health inequities are established early in life.

Considering social determinants of health in the relationship between physical activity and exercise engagement and cognitive impairment among persons with epilepsy

Many persons with epilepsy (PWE) are not as active or physically fit as compared to the general population. This lack of engagement in physical activity has been attributed to a number of factors, few of which take into consideration the social determinants of health (SDH). In this perspective, we highlight how SDH are considered in explaining lower levels of physical activity engagement among PWE, particularly for those experiencing cognitive impairment. We also discuss how these data can be applied in research to yield a greater impact on the quality of life among PWE. Consideration of SDH allows for increased understanding of how cognition can be both a determinant of physical activity and an outcome of environments conducive to physical activity in PWE.

Associations of Clinical and Social Risk Factors With Racial Differences in Premature Cardiovascular Disease

BACKGROUND

Racial differences in cardiovascular disease (CVD) are likely related to differences in clinical and social factors. The relative contributions of these factors to Black-White differences in premature CVD have not been investigated.

METHODS

In Black and White adults aged 18 to 30 years at baseline in the CARDIA study (Coronary Artery Risk Development in Young Adults), the associations of clinical, lifestyle, depression, socioeconomic, and neighborhood factors across young adulthood with racial differences in incident premature CVD were evaluated in sex-stratified, multivariable-adjusted Cox proportional hazards models using multiply imputed data assuming missing at random. Percent reduction in the β estimate (log-hazard ratio [HR]) for race quantified the contribution of each factor group to racial differences in incident CVD.

RESULTS

Among 2785 Black and 2327 White participants followed for a median 33.9 years (25th-75th percentile, 33.7-34.0), Black (versus White) adults had a higher risk of incident premature CVD (Black women: HR, 2.44 [95% CI, 1.71-3.49], Black men: HR, 1.59 [1.20-2.10] adjusted for age and center). Racial differences were not statistically significant after full adjustment (Black women: HR, 0.91 [0.55-1.52], Black men: HR 1.02 [0.70-1.49]). In women, the largest magnitude percent reduction in the β estimate for race occurred with adjustment for clinical (87%), neighborhood (32%), and socioeconomic (23%) factors. In men, the largest magnitude percent reduction in the β estimate for race occurred with an adjustment for clinical (64%), socioeconomic (50%), and lifestyle (34%) factors.

CONCLUSIONS

In CARDIA, the significantly higher risk for premature CVD in Black versus White adults was statistically explained by adjustment for antecedent multilevel factors. The largest contributions to racial differences were from clinical and neighborhood factors in women, and clinical and socioeconomic factors in men.

Racial Residential Segregation in Young Adulthood and Brain Integrity in Middle Age: Can We Learn From Small Samples?

Racial residential segregation is associated with multiple adverse health outcomes in Black individuals. Yet, the influence of structural racism and racial residential segregation on brain aging is less understood. In this study, we investigated the association between cumulative exposure to racial residential segregation over 25 years (1985-2010) in young adulthood, as measured by the Getis-Ord Gi* statistic, and year 25 measures of brain volume (cerebral, gray matter, white matter, and hippocampal volumes) in midlife. We studied 290 Black participants with available brain imaging data who were enrolled in the Coronary Artery Risk Development in Young Adults (CARDIA) Study, a prospective cohort study. CARDIA investigators originally recruited 2,637 Black participants aged 18-30 years from 4 field centers across the United States. We conducted analyses using marginal structural models, incorporating inverse probability of treatment weighting and inverse probability of censoring weighting. We found that compared with low/medium segregation, greater cumulative exposure to a high level of racial residential segregation throughout young adulthood was associated with smaller brain volumes in general (e.g., for cerebral volume, β = -0.08, 95% confidence interval: -0.15, -0.02) and with a more pronounced reduction in hippocampal volume, though results were not statistically significant. Our findings suggest that exposure to segregated neighborhoods may be associated with worse brain aging.

Spatially varying racial inequities in cardiovascular health and the contribution of individual- and neighborhood-level characteristics across the United States: The REasons for geographic and racial differences in stroke (REGARDS) study

Black-White inequities in cardiovascular health (CVH) pose a significant public health challenge, with these disparities also varying geographically across the US. There remains limited evidence of the impact of social determinants of health on these inequities. Using a national population-based cohort from the REasons for Geographic and Racial Differences in Stroke study, we assessed the spatial heterogeneity in Black-White differences in CVH and determined the extent to which individual- and neighborhood-level characteristics explain these inequities. We utilized a Bayesian hierarchical statistical framework to fit spatially varying coefficient models. Results showed overall and spatially varying inequities, where Black participants had significantly poorer CVH. The maps of the state level random effects also highlighted how inequities vary. The evidence produced in this study further highlights the importance of multilevel approaches - at the individual- and neighborhood-levels - that need to be in place to address these geographic and racial differences in CVH.

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.

A Qualitative Analysis to Understand Perception about Medication-Related Problems among Older Minority Adults in a Historically Black Community

Older adults taking multiple chronic medications experience an increased risk of adverse drug events and other medication-related problems (MRP). Most current literature on medication management involves researcher-driven intervention, yet few studies investigate patients' understanding of MRP in a diverse community setting. This report investigates patients' perception of MRP and patient-centered strategies among a cohort of the older adult group in a historically Black urban community. The study design is qualitative using structured open-ended questions in a multidisciplinary patient-centered focus group. Patients (age 65 years or older) taking seven or more medications were recruited. The group comprises patients, caregivers, pharmacists, health educators, a physician, and a nurse. Recordings of the group discussion are transcribed verbatim and analyzed using thematic content analysis and categorized by codes developed from the social-ecological model. The group reports patient-provider relationships, previous experience, fear of side effects played important roles in medication adherence. There is an unmet need for medication management education and tools to organize complex medication lists from multiple providers. This study provides important insights into MRP experienced by minority older adults and provided researchers with potential strategies for future interventions.

Alzheimer disease in African American individuals: increased incidence or not enough data?

Research on racial differences in Alzheimer disease (AD) dementia has increased in recent years. Older African American individuals bear a disproportionate burden of AD and cognitive impairment compared with non-Latino white individuals. Tremendous progress has been made over the past two decades in our understanding of the neurobiological substrates of AD. However, owing to well-documented challenges of study participant recruitment and a persistent lack of biological data in the African American population, knowledge of the drivers of these racial disparities has lagged behind. Therapeutic targets and effective interventions for AD are increasingly sought, but without a better understanding of the disease in African American individuals, any identified treatments and/or cures will evade this rapidly growing at-risk population. In this Perspective, I introduce three key obstacles to progress in understanding racial differences in AD: uncertainty about diagnostic criteria, disparate cross-sectional and longitudinal findings; and a dearth of neuropathological data. I also highlight evidence-informed strategies to move the field forward.

In this Perspective, Barnes introduces three key obstacles to progress in our understanding of racial differences in Alzheimer disease and highlights evidence-informed strategies that can move the field forward.

Social determinants of atrial fibrillation

Atrial fibrillation affects almost 60 million adults worldwide. Atrial fibrillation is associated with a high risk of cardiovascular morbidity and death as well as with social, psychological and economic burdens on patients and their families. Social determinants - such as race and ethnicity, financial resources, social support, access to health care, rurality and residential environment, local language proficiency and health literacy - have prominent roles in the evaluation, treatment and management of atrial fibrillation. Addressing the social determinants of health provides a crucial opportunity to reduce the substantial clinical and non-clinical complications associated with atrial fibrillation. In this Review, we summarize the contributions of social determinants to the patient experience and outcomes associated with this common condition. We emphasize the relevance of social determinants and their important intersection with atrial fibrillation treatment and outcomes. In closing, we identify gaps in the literature and propose future directions for the investigation of social determinants and atrial fibrillation.

Black-White disparities in women's physical health: The role of socioeconomic status and racism-related stressors

Black women have elevated rates of multiple physical illnesses and conditions when compared to White women - disparities that are only partially explained by socioeconomic status (SES). Consequently, scholars have called for renewed attention to the significance of racism-related stress in explaining Black-White disparities in women's physical health. Drawing on the biopsychosocial model of racism as a stressor and the intersectionality perspective, this study examines the extent to which SES and racism-related stressors - i.e., discrimination, criminalization, and adverse neighborhood conditions - account for disparities in self-rated physical health and chronic health conditions between Black and White women. Results indicate that Black women have lower SES and report greater exposure to racism-related stressors across all domains. Moreover, I find that SES and racism-related stressors jointly account for more than 90% of the Black-White disparity in women's self-rated physical health and almost 50% of the Black-White disparity in chronic health conditions. Theoretical and policy implications of these findings are discussed.

The Coronary Artery Risk Development In Young Adults (CARDIA) Study: JACC Focus Seminar 8/8

The CARDIA (Coronary Artery Risk Development in Young Adults) study began in 1985 to 1986 with enrollment of 5,115 Black or White men and women ages 18 to 30 years from 4 US communities. Over 35 years, CARDIA has contributed fundamentally to our understanding of the contemporary epidemiology and life course of cardiovascular health and disease, as well as pulmonary, renal, neurological, and other manifestations of aging. CARDIA has established associations between the neighborhood environment and the evolution of lifestyle behaviors with biological risk factors, subclinical disease, and early clinical events. CARDIA has also identified the nature and major determinants of Black-White differences in the development of cardiovascular risk. CARDIA will continue to be a unique resource for understanding determinants, mechanisms, and outcomes of cardiovascular health and disease across the life course, leveraging ongoing pan-omics work from genomics to metabolomics that will define mechanistic pathways involved in cardiometabolic aging.

Pregnant in the United States in the COVID-19 pandemic: A collision of crises we cannot ignore

NO abstract intended, Introduction is listed here The COVID-19 pandemic and call for social justice is occurring when the United States, unlike its peer countries, has already experienced a steady 20-year rise in maternal morbidity and mortality with pregnant women today facing a 50 percent higher risk of mortality than their mothers. 1 Most vulnerable are women of color, black and American Indian/Alaska Native women, who have experienced longstanding disparities in access to and quality of healthcare and may begin pregnancy with hypertension, diabetes, and obesity, complications known to be more common in women enduring segregation. 2–4 Initially, the race-related health disparities and resultant disproportionately higher rates of COVID-19 cases and mortality in indigenous communities and black, latinx, or other communities of color were mistakenly considered innate racial differences. More recently, these higher rates have been attributed to underlying social, structural, and environmental determinants of health including resource inequities, inadequate housing, and occupational and environmental hazards that result in greater exposure to and less protection from COVID-19. 5,6 Augmented by the added physiologic stress of pregnancy, these comorbidities and disparities compound the risk of pregnancy-associated cardiomyopathy, thromboembolism, and hemorrhage, often resulting in lasting physical and mental health consequences.

Development and Feasibility of an Obesity Prevention Intervention for Black Adolescent Daughters and Their Mothers

Black female adolescents and women have disproportionately higher rates of obesity than their racial/ethnic counterparts. There is an urgent need to address obesity prevention in Black adolescent females through interventions that enhance lifestyle physical activity and improve dietary behaviors. Middle adolescence presents an important opportunity to strengthen the daughter-mother bond and improve healthy behaviors such as physical activity and dietary intake. Because of the intersection of adolescent development, culture and structural racism, it is essential to include mothers; however, this approach is understudied in the literature. This pre-pilot proof of concept study, Black Girls Move, was conducted using a 12-week pre-post within-subjects design to assess feasibility of conducting and delivering the BGM intervention, program satisfaction, and ability to obtain outcome measures in Black ninth and tenth grade daughters and their mothers. Twenty-two dyads were recruited and 14 dyads completed baseline assessments; however, only eight daughters and their mothers attended the first session and remained for the entire study. All dyads had valid objective and self-reported physical activity data. However, two of eight daughters and one mother provided self-reported dietary data that were considered invalid. All individual sessions were rated highly. Excellent attendance, retention, and satisfaction among participants suggest that we succeeded in developing an accepted, culturally relevant intervention. This lifestyle intervention would be strengthened by modifications to recruitment and retention, as well as incorporation of a computerized dietary assessment tool, a tailored dietary app for self-monitoring, and increased photo-based and group homework activities.

Association of Racial Residential Segregation Throughout Young Adulthood and Cognitive Performance in Middle-aged Participants in the CARDIA Study

Importance

Neighborhood-level residential segregation is implicated as a determinant for poor health outcomes in black individuals, but it is unclear whether this association extends to cognitive aging, especially in midlife.

Objective

To examine the association between cumulative exposure to residential segregation during 25 years of young adulthood among black individuals and cognitive performance in midlife.

Design, Setting, and Participants

The ongoing prospective cohort Coronary Artery Risk Development in Young Adults (CARDIA) Study recruited 5115 black and white participants aged 18 to 30 years from 4 field centers at the University of Alabama, Birmingham; University of Minnesota, Minneapolis; Northwestern University, Chicago, Illinois; and Kaiser Permanente, Oakland, California. Data were acquired from February 1985 to May 2011. Among the surviving CARDIA cohort, 3671 (71.8%) attended examination year 25 of the study in 2010, when cognition was measured, and 3008 (81.9%) of those completed the cognitive assessments. To account for time-varying confounding and differential censoring, marginal structural models using inverse probability weighting were applied. Data were analyzed from April 16 to July 20, 2019.

Main Outcomes and Measures

Racial residential segregation was measured using the Getis-Ord Gi* statistic, and the mean cumulative exposure to segregation was calculated across 6 follow-up visits from baseline to year 25 of the study, then categorized into high, medium, and low segregation. Cognitive function was measured at year 25 of the study, using the Digit Symbol Substitution Test (DSST), Stroop color test (reverse coded), and Rey Auditory Verbal Learning Test. To facilitate comparison of estimates, z scores were calculated for all cognitive tests.

Results

A total of 1568 black participants with available cognition data were included in the analysis. At baseline, participants had a mean (SD) age of 25 (4) years and consisted of 936 women (59.7%). Greater cumulative exposure to segregated neighborhoods was associated with a worse DSST z score (for high segregation, β = -0.37 [95% CI, -0.61 to -0.13]; for medium segregation, β = -0.25 [95% CI, -0.51 to 0.0002]) relative to exposure to low segregation.

Conclusions and Relevance

In this cohort study, exposure to residential segregation throughout young adulthood was associated with worse processing speed among black participants as early as in midlife. This association may potentially explain black-white disparities in dementia risk at older age.

Measuring Structural Racism and Its Association With BMI

INTRODUCTION

Structural racism has attracted increasing interest as an explanation for racial disparities in health, including differences in adiposity. Structural racism has been measured most often with single-indicator proxies (e.g., housing discrimination), which may leave important aspects of structural racism unaccounted for. This paper develops a multi-indicator scale measuring county structural racism in the U.S. and evaluates its association with BMI.

METHODS

County structural racism was estimated with a confirmatory factor model including indicators reflecting education, housing, employment, criminal justice, and health care. Using Behavioral Risk Factor Surveillance Survey data (2011-2012) and a mixed-effects model, individual BMI was regressed on county structural racism, controlling for county characteristics (mean age, percentage black, percentage female, percentage rural, median income, and region). Analysis occurred 2017-2019.

RESULTS

The study included 324,572 U.S. adults. A 7-indicator county structural racism model demonstrated acceptable fit. County structural racism was associated with lower BMI. Structural racism and black race exhibited a qualitative interaction with BMI, such that racism was associated with lower BMI in whites and higher BMI in blacks. In a further interaction analysis, county structural racism was associated with larger increases in BMI among black men than black women. County structural racism was associated with reduced BMI for white men and no change for white women.

CONCLUSIONS

The results confirm structural racism as a latent construct and demonstrate that structural racism can be measured in U.S. counties using publicly available data with methods offering a strong conceptual underpinning and content validity. Further study is necessary to determine whether addressing structural racism may reduce BMI among blacks.

Importance of Housing and Cardiovascular Health and Well-Being: A Scientific Statement From the American Heart Association

Cardiovascular disease disparities are shaped by differences in risk factors across racial and ethnic groups. Housing remains an important social determinant of health. The objective of this statement is to review and summarize research that has examined the associations of housing status with cardiovascular health and overall health. PubMed/Medline, Centers for Disease Control and Prevention data, US Census data, Cochrane Library reviews, and the annual Heart Disease and Stroke Statistics report from the American Heart Association were used to identify empirical research studies that examined associations of housing with cardiovascular health and overall well-being. Health is affected by 4 prominent dimensions of housing: stability, quality and safety, affordability and accessibility, and neighborhood environment. Vulnerable and underserved populations are adversely affected by housing insecurity and homelessness, are at risk for lower-quality and unsafe housing conditions, confront structural barriers that limit access to affordable housing, and are at risk for living in areas with substandard built environment features that are linked to cardiovascular disease. Research linking select pathways to cardiovascular health is relatively strong, but research gaps in other housing pathways and cardiovascular health remain. Efforts to eliminate cardiovascular disease disparities have recently emphasized the importance of social determinants of health. Housing is a prominent social determinant of cardiovascular health and well-being and should be considered in the evaluation of prevention efforts to reduce and eliminate racial/ethnic and socioeconomic disparities.

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.

Racial residential segregation, racial discrimination, and diabetes: The Coronary Artery Risk Development in Young Adults study

Although racial residential segregation and interpersonal racial discrimination are associated with cardiovascular disease, few studies have examined their link with diabetes risk or management. We used longitudinal data from 2,175 black participants in the Coronary Artery Risk Development in Young Adults (CARDIA) Study to examine associations of racial residential segregation (Gi* statistic) and experiences of racial discrimination with diabetes incidence and management. Multivariable Cox models estimated associations for incident diabetes and GEE logistic regression estimated associations with diabetes management (meeting targets for HbA1c, systolic blood pressure, and LDL cholesterol). Neither segregation nor discrimination were associated with diabetes incidence or management.

Using photovoice to explore social determinants of obesity in two underserved communities in the southeast

Over the past 25 years, the adult obesity rate in the U.S. has increased 70%, with obesity placing a disproportionate chronic disease burden on African Americans. Using Photovoice methodology, this study aimed to: (1) explore the social determinants contributing to obesity from the perspectives of residents of two low-income municipalities in Birmingham, Alabama with varying levels of segregation, (2) better understand residents' perceptions of contributors to obesity in their communities, and (3) examine residents' perceptions of interventions that might be effective in promoting positive change. Focus groups (N=10) segmented by race and community were conducted by trained moderators. Transcriptions were analyzed by theoretical thematic analysis. The study design and data analysis analyses were guided by a conceptual framework based on the Social Determinants of Obesity model. Findings from this study lend support to the efficacy of the conceptual framework as a multilevel approach describing obesity disparities in the south. Regardless of community and race, participants believed that elements of their built environment, such as fast food restaurants and unsafe walking conditions, contributed to obesity, and that schools and churches should play an active role in addressing the issue.

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.

Racism and Health: Evidence and Needed Research

In recent decades, there has been remarkable growth in scientific research examining the multiple ways in which racism can adversely affect health. This interest has been driven in part by the striking persistence of racial/ethnic inequities in health and the empirical evidence that indicates that socioeconomic factors alone do not account for racial/ethnic inequities in health. Racism is considered a fundamental cause of adverse health outcomes for racial/ethnic minorities and racial/ethnic inequities in health. This article provides an overview of the evidence linking the primary domains of racism-structural racism, cultural racism, and individual-level discrimination-to mental and physical health outcomes. For each mechanism, we describe key findings and identify priorities for future research. We also discuss evidence for interventions to reduce racism and describe research needed to advance knowledge in this area.

Neighborhood Social Environment and Cardiovascular Disease Risk

Purpose of review

Limited physical activity (PA) and obesity are two primary risk factors for cardiovascular disease (CVD). Within a socio-ecological framework, neighborhood social environment may play a key role in influencing PA and obesity. However, the mechanisms underlying this relationship remain ambiguous. Our goals in this review are: (1) to summarize findings from the recent studies on neighborhood social environment in relation to PA and obesity as CVD risk factors, and (2) to briefly describe several innovative approaches to assessing neighborhood social environment.

Recent findings

Almost all recent studies assessed neighborhood social environment around residential areas. There were consistent associations between neighborhood social environment and PA and obesity, with some exceptions (indicating null associations or paradoxical associations). However, a focus on residential social environment may limit results because these studies did not account for any exposures occurring away from individuals' homes. Additionally, the majority of studies utilized a cross-sectional design, which limits our ability to make inferences regarding the causality of the association between social environment and PA or obesity as CV risk factors.

Summary

The majority of the studies on neighborhood social environment characterized factors around residential areas and assessed participant activity via self-reported surveys. Future research should leverage tools to account for the spatial mismatch between environmental exposures and outcomes by using global positioning systems, ecological momentary assessments, virtual neighborhood audits, and simulation modeling. These approaches can overcome major limitations by tracking individuals' daily activity and real-time perceptions of neighborhood social environments linked to CVD events.