non-Hispanic Black Residents Research Articles

The association between county-level premature cardiovascular mortality related to cardio-kidney-metabolic disease and the social determinants of health in the US.

Cardio-kidney-metabolic (CKM) syndrome is defined by the American Heart Association as the intersection between metabolic, renal and cardiovascular disease. Understanding the contemporary estimates of CKM related mortality and recent trends in the US is essential for developing targeted public interventions. We collected state-level and county-level CKM-associated age-adjusted premature cardiovascular mortality (aaCVM) (2010–2019) rates from the CDC Wide-ranging Online Data for Epidemiologic Research (WONDER). We linked the county-level aaCVM with a multi-component social deprivation metric: the Social Deprivation Index (SDI: range 0–100) and grouped them as follows: I: 0–25, II: 26–50, III: 51–75, and IV: 76–100. We conducted pair-wise comparison of aaCVM between SDI groups with the multiplicity adjusted Wilcoxon test; we compared aaCVM in men versus women, metropolitan versus nonmetropolitan counties, and non-hispanic white versus non-hispanic black residents. In 3101 analyzed counties in the US, the median CKM associated aaCVM was 61 [interquartile range (IQR): 45, 82]/100 000. Mississippi (99/100 000) and Minnesota (33/100 000) had the highest and lowest values respectively. CKM associated aaMR increased across SDI groups [I – 45 (IQR: 36, 55)/100 000, II- 61 (IQR: 49, 77)/100 000, III- 77 (IQR: 61, 94)/100 000, IV- 89 (IQR: 70, 110)/100 000; all pair-wise p-values < 0.001]. Men had higher rates [85 (64, 91)/100 000] than women [41 (28, 58)/100 000](p-value < 0.001), metropolitan counties [54 (40, 72)/100 000] had lower rates than non-metropolitan counties [66 (49, 90)/100 000](p-value < 0.001), and non-Hispanic Black [110 (86, 137)/100 000] had higher aaMR than non-Hispanic White residents [59 (44, 78)/100 000](p-value < 0.001). In the US, CKM mortality remains high and disproportionately occurs in more socially deprived counties and non-metropolitan counties. Our inability to reduce CKM mortality rates over the study period highlights the need for targeted policy interventions to curb the ongoing high burden.

Gentrification and neighbourhood satisfaction: A study of Philadelphia

Neighbourhood satisfaction is an important facet of life and consideration for policy, as it affects one’s quality of life and well-being, as well as broader residential mobility patterns. While studies have addressed gentrification’s various outcomes, especially residential displacement, few have investigated the relationship between gentrification and neighbourhood satisfaction. Using data from the 2016 Philadelphia Housing and Neighbourhood Survey and mixed-effects logistic regression models, this paper explores the relationship between gentrification and neighbourhood satisfaction, examining how it varies by gentrification type, respondent race, and length of residence. We find that, while gentrification is overall positively associated with neighbourhood satisfaction, its effect on neighbourhood satisfaction is heterogeneous by gentrification type, respondent race, and length of residence. Specifically, when examined by type, only moderate gentrification is positively associated with neighbourhood satisfaction. Hispanic residents and non-Hispanic Black residents are less likely to be satisfied in gentrifying neighbourhoods than in non-gentrifying neighbourhoods. Lastly, gentrification is not significantly associated with neighbourhood satisfaction among long-term residents.

Demographic and geographic distribution of diabetes and pre-diabetes risk in rural settings: results from a cross-sectional, countywide rural health survey in Sullivan County, New York

ObjectiveTo perform a detailed characterisation of diabetes burden and pre-diabetes risk in a rural county with previously documented poor health outcomes in order to understand the local within-county distribution of...

Neighborhood Socioeconomic Context Predicts Pediatric Asthma Exacerbation.

Causes of asthma exacerbation in children have been studied extensively at the individual level, but contributions of neighborhood-level factors are less explored. We test which distinctive residential characteristics produce variation in uncontrolled asthma among pediatric patients. We extracted electronic medical record data from pediatric patients living in Southern California and used multilevel modeling techniques to isolate which neighborhood characteristics drive inequitable asthma control. Above and beyond the individual-level factors known to predict inadequate disease control, neighborhoods with greater concentration of non-Hispanic black residents (odds ratios [OR] = 1.02; 95% confidence interval [CI]: 0.99-1.03; P < .05), higher proportions of female-headed households (OR = 1.01; 95% CI: 0.99-1.01; P < .05), and higher levels of ambient air pollution (OR = 1.05; 95% CI: 1.01-1.10; P < .001) associate with greater odds of asthma exacerbation. The interplay between community characteristics and asthma management during childhood is complex, and place-based initiatives are needed to narrow the gap in asthma exacerbation.

Investigation of geographic disparities of diabetes-related hospitalizations in Florida using flexible spatial scan statistics: An ecological study.

Hospitalizations due to diabetes complications are potentially preventable with effective management of the condition in the outpatient setting. Diabetes-related hospitalization (DRH) rates can provide valuable information about access, utilization, and efficacy of healthcare services. However, little is known about the local geographic distribution of DRH rates in Florida. Therefore, the objectives of this study were to investigate the geographic distribution of DRH rates at the ZIP code tabulation area (ZCTA) level in Florida, identify significant local clusters of high hospitalization rates, and describe characteristics of ZCTAs within the observed spatial clusters. Hospital discharge data from 2016 to 2019 were obtained from the Florida Agency for Health Care Administration through a Data Use Agreement with the Florida Department of Health. Raw and spatial empirical Bayes smoothed DRH rates were computed at the ZCTA level. High-rate DRH clusters were identified using Tango's flexible spatial scan statistic. Choropleth maps were used to display smoothed DRH rates and significant high-rate spatial clusters. Demographic, socioeconomic, and healthcare-related characteristics of cluster and non-cluster ZCTAs were compared using the Wilcoxon rank sum test for continuous variables and Chi-square test for categorical variables. There was a total of 554,133 diabetes-related hospitalizations during the study period. The statewide DRH rate was 8.5 per 1,000 person-years, but smoothed rates at the ZCTA level ranged from 0 to 101.9. A total of 24 significant high-rate spatial clusters were identified. High-rate clusters had a higher percentage of rural ZCTAs (60.9%) than non-cluster ZCTAs (41.8%). The median percent of non-Hispanic Black residents was significantly (p < 0.0001) higher in cluster ZCTAs than in non-cluster ZCTAs. Populations of cluster ZCTAs also had significantly (p < 0.0001) lower median income and educational attainment, and higher levels of unemployment and poverty compared to the rest of the state. In addition, median percent of the population with health insurance coverage and number of primary care physicians per capita were significantly (p < 0.0001) lower in cluster ZCTAs than in non-cluster ZCTAs. This study identified geographic disparities of DRH rates at the ZCTA level in Florida. The identification of high-rate DRH clusters provides useful information to guide resource allocation such that communities with the highest burdens are prioritized to reduce the observed disparities. Future research will investigate determinants of hospitalization rates to inform public health planning, resource allocation and interventions.

Relationship between Civilian Injuries Caused during Contact with Law Enforcement and Community-Level Sociodemographic Characteristics.

Civilian injuries caused during contact with law enforcement personnel erode community trust in policing, impact individual well-being, and exacerbate existing health inequities. We assessed the relationship between ZIP code-level rates of civilian injuries caused during legal interventions and community-level sociodemographic characteristics using Illinois hospital data from 2016 to 2022. We developed multivariable Poisson regression models to examine whether legal intervention injury rates differed by race-ethnicity and community economic disadvantage across three geographic regions of Illinois representing different levels of urbanization. Over the study period, 4976 civilian injuries were treated in Illinois hospitals (rate of 5.6 per 100,000 residents). Compared to non-Hispanic white residents, non-Hispanic Black residents demonstrated 5.5-10.5 times higher injury rates across the three geographic regions, and Hispanic-Latino residents demonstrated higher rates in Chicago and suburban Cook County, but lower rates in the rest of the state. In most regions, models showed that as the percent of minority residents in a ZIP code increased, injury rates among non-Hispanic Black and Hispanic-Latino residents decreased. As community economic disadvantage increased at the ZIP code level, civilian injury rates increased. Communities with the highest injury rates involving non-Hispanic white residents were significantly more economically unequal and disadvantaged. While the injury rates were consistently and substantially higher among non-Hispanic Black residents throughout the state, the findings illustrate that the association between overall civilian injuries caused during contact with law enforcement and community sociodemographic characteristics varied across regions. Data on local law enforcement agency policies and procedures are needed to better identify appropriate interventions.

Simulating desegregation through affordable housing development: An environmental health impact assessment of Connecticut zoning law

Residential segregation drives exposure and health inequities. We projected the mortality impacts among low-income residents of leveraging an existing 10% affordable housing target as a case study of desegregation policy. We simulated movement into newly allocated housing, quantified changes in six ambient environmental exposures, and used exposure-response functions to estimate deaths averted. Across 1000 simulations, in one year, we found on average 169 (95% CI: 84, 255) deaths averted from changes in greenness, 71 (49, 94) deaths averted from NO2, 9 (4, 14) deaths averted from noise, 1 (1, 2) excess death from O3, and 2 (1, 2) excess deaths from PM2.5, with rates of deaths averted highest among non-Hispanic Black and non-Hispanic White residents. Strengthening desegregation policy may advance environmental health equity.

Determinants of disparities of diabetes-related hospitalization rates in Florida: a retrospective ecological study using a multiscale geographically weighted regression approach

BackgroundEarly diagnosis, control of blood glucose levels and cardiovascular risk factors, and regular screening are essential to prevent or delay complications of diabetes. However, most adults with diabetes do not meet recommended targets, and some populations have disproportionately high rates of potentially preventable diabetes-related hospitalizations. Understanding the factors that contribute to geographic disparities can guide resource allocation and help ensure that future interventions are designed to meet the specific needs of these communities. Therefore, the objectives of this study were (1) to identify determinants of diabetes-related hospitalization rates at the ZIP code tabulation area (ZCTA) level in Florida, and (2) assess if the strengths of these relationships vary by geographic location and at different spatial scales.MethodsDiabetes-related hospitalization (DRH) rates were computed at the ZCTA level using data from 2016 to 2019. A global ordinary least squares regression model was fit to identify socioeconomic, demographic, healthcare-related, and built environment characteristics associated with log-transformed DRH rates. A multiscale geographically weighted regression (MGWR) model was then fit to investigate and describe spatial heterogeneity of regression coefficients.ResultsPopulations of ZCTAs with high rates of diabetes-related hospitalizations tended to have higher proportions of older adults (p < 0.0001) and non-Hispanic Black residents (p = 0.003). In addition, DRH rates were associated with higher levels of unemployment (p = 0.001), uninsurance (p < 0.0001), and lack of access to a vehicle (p = 0.002). Population density and median household income had significant (p < 0.0001) negative associations with DRH rates. Non-stationary variables exhibited spatial heterogeneity at local (percent non-Hispanic Black, educational attainment), regional (age composition, unemployment, health insurance coverage), and statewide scales (population density, income, vehicle access).ConclusionsThe findings of this study underscore the importance of socioeconomic resources and rurality in shaping population health. Understanding the spatial context of the observed relationships provides valuable insights to guide needs-based, locally-focused health planning to reduce disparities in the burden of potentially avoidable hospitalizations.

Rural-urban differences in dental opioid prescribing among adolescent/young adult and adult Medicaid beneficiaries.

There are ongoing concerns about opioid prescribing for surgical and non-surgical dental needs among adolescent/young adult and adult patients. Although there are known differences in the overall opioid prescription rates in rural areas compared to urban areas, the contribution of dental opioid prescriptions is still unclear. This study aims to examine the factors associated with receiving an opioid prescription following a dental visit. This cross-sectional study utilized the 2021 Centers for Medicare & Medicaid Services unredacted Transformed Medicaid Statistical Information System Analytic Files to examine Medicaid and CHIP adolescent/young adult beneficiaries aged 12-20 and adults aged 21-64 who are non-dually eligible for Medicare and had a dental visit in 2021. Multilevel logistic regression models were used to predict the odds of receiving a dental opioid prescription. The results of the adolescent/young adult models show that for every percentage point increase in the percentage of non-Hispanic Black residents in a county, the odds of receiving a dental opioid prescription increase by 0.8% in rural areas. However, with every percentage point increase in the Hispanic population, the odds of receiving a dental opioid prescription decrease by 0.3% in rural areas and 0.7% in urban areas. The adult models show that compared to non-Hispanic white beneficiaries, non-Hispanic Black beneficiaries are 8% more likely to receive a dental opioid prescription if they live in rural areas and 18% more likely if they live in urban areas, while all other racial and ethnic groups are significantly less likely to receive a dental opioid prescription. With every unit increase in the concentrated disadvantage index, the odds of receiving a dental opioid prescription increase by 17% among rural adults and 24% among urban adults. Our findings on rural-urban disparities in opioid prescriptions suggest that prescription patterns in dental settings are significant and inequitable across various beneficiary- and county-level factors and areas of residence. These variations in prescription patterns highlight the known disparities in access to preventive dental care and the need for targeted interventions to address the healthcare needs of rural residents.

Disparities in Rates of Death From HIV or Tuberculosis Before Age 65 Years, by Race, Ethnicity, and Sex, United States, 2011-2020.

Death from tuberculosis or HIV among people from racial and ethnic minority groups who are aged <65 years is a public health concern. We describe age-adjusted, absolute, and relative death rates from HIV or tuberculosis from 2011 through 2020 by sex, race, and ethnicity among US residents. We used mortality data from the Centers for Disease Control and Prevention online data system on deaths from multiple causes from 2011 through 2020 to calculate age-adjusted death rates and absolute and relative disparities in rates of death by sex, race, and ethnicity. We calculated corresponding 95% CIs for all rates and determined significance at P < .05 by using z tests. For tuberculosis, when compared with non-Hispanic White residents, non-Hispanic American Indian or Alaska Native residents had the highest level of disparity in rate of death (666.7%). Similarly, as compared with non-Hispanic White female residents, American Indian or Alaska Native female residents had a high relative disparity in death from tuberculosis (620.0%). For HIV, the age-adjusted death rate was more than 8 times higher among non-Hispanic Black residents than among non-Hispanic White residents, and the relative disparity was 735.1%. When compared with non-Hispanic White female residents, Black female residents had a high relative disparity in death from HIV (1529.2%). Large disparities in rates of death from tuberculosis or HIV among US residents aged <65 years based on sex, race, and ethnicity indicate an ongoing unmet need for effective interventions. Intervention strategies are needed to address disparities in rates of death and infection among racial and ethnic minority populations.

Abstract C067: Evaluation of data from a new mobile HPV vaccination program in South Carolina, U.S.

Abstract Purpose: Human papillomavirus (HPV) infections are linked to at least six different types of cancer. The Medical University of South Carolina (MUSC) Hollings Cancer Center (HCC) and Department of Pediatrics leaders identified less-than-optimal HPV vaccination rates in rural and medically underserved communities in South Carolina (SC) (80% in urban cities vs. 62% in rural areas). Forty-three percent of SC’s 46 counties include areas classified as rural by the U.S. Census, and 14% of the state’s population lives in rural areas. SC’s population demographics are typical of the Deep South region of the U.S. and primarily comprise non-Hispanic White (69%) and non-Hispanic Black (27%) residents, with a small but growing Hispanic/Latinx population (6.0%). SC compares unfavorably with the U.S. averages in educational levels and per capita and median household incomes. These social determinants of health-related factors contribute to lower levels of knowledge about, and access to, the HPV vaccine. Methods: To address the major public health issue of low HPV vaccination rates in rural SC, the MUSC HCC and Department of Pediatrics created a statewide community engagement-focused HPV Vaccination Van Program with funding from the HealthyMe/HealthySC (HMHSC) program and MUSC HCC. The Program launched in October of 2021. It provides HPV and other childhood vaccinations in school districts, HMHSC health clinics, and other community settings throughout SC, focusing on children aged 9–18 years who are eligible for the U.S. Centers for Disease Control and Prevention’s Vaccines for Children Program. The prioritization of the selection of counties for inclusion in the Program is based on geospatial analyses highlighting the current HPV vaccination rates in each county. Results: As of 5 June 2023, the Program has administered childhood vaccinations to 734 participants in 28/46 counties (60%) of SC. Three-hundred and forty-six of the participants received HPV vaccinations. They were predominantly female (56.4%), aged 4–18 years (97.1%), and self-identified as non-Hispanic White (46.0%), non-Hispanic Black (31.9%), Hispanic/Latino (14.9%), Asian American (1.2%), Multiracial (3.3%), or Other (2.4%), with 0.3% of the participants not reporting their racial/ethnic identification. Slightly more than half of the participants (52.9%) had Medicaid insurance and 25.1% reported having no insurance coverage. Conclusions: The number of children receiving the HPV vaccine through the Program, and the number of counties served, is expected to expand as the Program’s relationship with SC’s school districts and other community-based organizations grows. The Program provides a model for delivering mobile HPV vaccinations to rural children, thus reducing their cancer risk. Citation Format: Marvella E. Ford, Kathleen B. Cartmell, Angela M. Malek, Nhi Phuong Le, Chloe Keeve, I'Ayana Sanders, Jerlinda Ross, Melanie Slan, Joan McLauren, Mina Platt, Ellen Gomez, Jessica Zserai, Beth Poore, Christina Cody, Victoria Ladd, Mary S. Beattie, J. David Suddoth, Kapri Kreps, James R. Roberts. Evaluation of data from a new mobile HPV vaccination program in South Carolina, U.S. [abstract]. In: Proceedings of the 16th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2023 Sep 29-Oct 2;Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2023;32(12 Suppl):Abstract nr C067.

Racial and Ethnic Residential Segregation and Monocyte DNA Methylation Age Acceleration

Neighborhood segregation and poverty may be important drivers of health inequities. Epigenomic factors, including DNA methylation clocks that may mark underlying biological aging, have been implicated in the link between social factors and health. To examine the associations of neighborhood segregation and poverty with 4 DNA methylation clocks trained to capture either chronological age or physiological dysregulation. This cohort study uses data from the Multi-Ethnic Study of Atherosclerosis (MESA), a longitudinal study that started in 2000 to 2002, with follow-up in 2002 to 2004, 2004 to 2005, 2005 to 2007, and 2010 to 2012. In 2000 to 2002, adults who identified as White or Black race or Hispanic or Chinese ethnicity in 6 US sites (Baltimore, Maryland; Chicago, Illinois; Forsyth County, North Carolina; Los Angeles County, California; Northern Manhattan, New York; and St. Paul, Minnesota) were sampled for recruitment. A random subsample of 4 sites (Maryland, North Carolina, New York, and Minnesota) were selected for inclusion in the MESA epigenomics ancillary study at examination 5 (2010-2012). Participants who identified as White or Black race or Hispanic ethnicity, were aged 45 to 84 years, and did not have clinical cardiovascular disease were included in this analysis. Data were analyzed from May 2021 to October 2023. Information on 2000 census tract poverty and Getis-Ord G statistic segregation of Hispanic residents, non-Hispanic Black residents, or non-Hispanic White residents were linked to participant addresses at examination 1 (2000-2002). At examination 5, DNA methylation was measured in purified monocytes. DNA methylation age acceleration was calculated using 4 clocks trained on either chronological age or physiological dysregulation. Linear regressions were used to test associations. A total of 1102 participants (mean [SD] age, 69.7 [9.4] years; 562 [51%] women) were included, with 348 Hispanic participants, 222 non-Hispanic Black participants, and 533 non-Hispanic White participants. For non-Hispanic Black participants, living in tracts with greater segregation of Black residents was associated with GrimAge DNA methylation age acceleration, a clock designed to capture physiological dysregulation. A 1-SD increase in segregation was associated with 0.42 (95% CI, 0.20-0.64) years age acceleration (P < .001); this association was not observed with other clocks. This association was particularly pronounced for participants living in high poverty tracts (interaction term, 0.24; 95% CI, 0.07-0.42; P = .006). In the overall sample, census tract poverty level was associated with GrimAge DNA methylation age acceleration (β = 0.45; 95% CI, 0.20-0.71; adjusted P = .005). These findings suggest that epigenomic mechanisms may play a role in the associations of segregated and poor neighborhoods with chronic conditions.

Abstract 15576: The Association of Structural Racism With Cardiovascular Disease Death Rates

Background Structural racism is an upstream influencer of social determinants of health, which impact cardiovascular disease (CVD) death rates. The association between structural racism and CVD death rates has not been conclusively quantified, and this association may vary by race/ethnicity. Method Year 2020 census data on disparities in income, wealth, education, employment, and digital access and segregation were available at the census block group level and were used to quantify structural racism’s effects. Data from each block group and its 9 nearest neighbors were used to compute the structural racism sub-scores for that block group, which were transformed to a scale of 1-100 based on 100 quantiles. The composite score was then calculated as the weighted sum of the sub-scores (weights in Table 1). Mean structural racism score (SRS), weighted by population of each block group, was computed for each county in the United States. Then SRS was fit as the exposure in linear models controlling for state and predicting 2020 county-level CVD death rates per 100,000 adults for all residents, non-Hispanic Black (NHB) residents, non-Hispanic White (NHW) residents, and Hispanic residents, as reported by the Centers for Disease Control. Results: Data from 50 states and the District of Columbia were used (3137 counties). A 1-point higher SRS score (range 1-100) was associated with 1.0 (95% CI: 0.8, 1.3) more CVD deaths per 100,000 adults. Among NHB residents, there were 1.5 (95% CI: 1.0, 2.0) more CVD deaths per 1-point higher SRS score. Among Hispanic and NHW residents, CVD deaths were 0.8 (95% CI: 0.4, 1.2) and 0.6 (95% CI: 0.3, 0.8) higher per 1-point higher SRS. Conclusion: Structural racism is associated with greater CVD mortality among all United States residents, but the magnitude of association is greatest among NHB residents. Eliminating structural racism is likely to reduce CVD mortality of all residents while reducing race-based disparities in CVD mortality.

6 Racial Discrimination and White Matter Integrity Among Black Older Adults

Objective:Non-Hispanic Black older adults experience a disproportionate burden of Alzheimer’s Disease and related dementias (ADRD) risk compared to non-Hispanic White older adults. It is necessary to identify mechanisms that may be contributing to inequities in cognitive aging. Psychosocial stressors that disproportionately affect Black adults (e.g., discrimination) have the potential to impact brain health through stress pathways. The brain’s white matter, which appears to be particularly important for ADRD risk among Black older adults, may be uniquely vulnerable to stress-related physiological dysfunction. To further understand whether and how discrimination can affect ADRD risk, this study aimed to examine associations between multiple forms of racial discrimination and white matter integrity, operationalized through diffusion tensor imaging.Participants and Methods:Cross-sectional data were obtained from 190 non-Hispanic Black residents aged 65+ without dementia in northern Manhattan. Racial discrimination was self-reported using the Everyday Discrimination and Major Experiences of Lifetime Discrimination scales. Example items from the Everyday Discrimination Scale include: “You are treated with less respect than other people”; “You are called names or insulted.” Example items from the Major Experiences of Lifetime Discrimination Scale include: “At any time in your life, have you ever been unfairly fired from a job?”; “Have you ever been unfairly denied a bank loan?” Racial discrimination was operationalized as experiences attributed to “race” or “skin color.” White matter integrity was assessed using fractional anisotropy (FA) via diffusion tensor imaging. Multivariable regression models evaluated the unique effects of everyday and major experiences of lifetime racial discrimination on mean FA in the whole brain and specific regions. Initial models controlled for age, sex/gender, intracranial volume, and white matter hyperintensities. Subsequent models additionally controlled for socioeconomic and health factors to consider potential confounders or mediators of the relationship between discrimination and white matter integrity.Results:Major experiences of lifetime discrimination were negatively associated with mean FA within the left cingulum cingulate gyrus and the right inferior fronto-occipital fasciculus. These associations persisted when controlling for additional covariates (i.e., education, depression, and cardiovascular diseases). In contrast, major experiences of lifetime discrimination were positively associated with mean FA within the right superior longitudinal fasciculus (temporal part). This association was attenuated when controlling for additional covariates. Everyday racial discrimination was not associated with mean FA in any regions.Conclusions:These results extend prior work linking racial discrimination to brain health and provide evidence for both risk and resilience among Black older adults. Major experiences of lifetime racial discrimination, a proxy for institutional racism, may have a stronger effect on white matter integrity than everyday racial discrimination, a proxy for interpersonal racism. Educational opportunities and cardiovascular risk factors may represent mediators between racial discrimination and white matter integrity. White matter integrity within specific brain regions may be a mechanism through which racially patterned social stressors contribute to racial disparities in ADRD. Future research should characterize within-group heterogeneity in order to identify factors that promote resilience among Black older adults.

Examining discrimination in home improvement financing (Home Mortgage Disclosure Act 2012–2016) and neighborhood health in the United States

ABSTRACT Institutional racism by financial institutions historically denied Black homeowners access to home mortgage loans. An understudied aspect of the homeownership continuum is home repair and maintenance, with few studies assessing discrimination in access to funding for home improvement. Using US Home Mortgage Disclosure Act data between 2012 and 2016, we assess individual and census-tract level predictors of applying to, and being denied home improvement loans. We find non-Hispanic Black applicants are significantly more likely to be denied loans (OR: 2.28 p < 0.01), and that loans for areas with a high proportion of non-Hispanic Black residents (OR: 1.09, p < 0.01) are most likely to be denied, while applications in tracts with the highest proportion of non-Hispanic white residents (OR: 0.90, p < 0.01) are least likely to be denied. We find that white (r = 0.203), but not Black (r = 0.02) home improvement applications are correlated with the proportion of Black residents currently residing in the census tract. Additionally, at the census tract level, home improvement loan denial rates are associated with usually getting less than 7 hours of sleep, which is associated with adverse health outcomes. Future research on institutional racism should consider the social and health impacts of discrimination in home improvement loan financing for Black applicants and within Black communities.

Impact and Equity of New York City's Tobacco Retail Reduction Initiative

High levels of tobacco retailer density in communities is associated with a range of tobacco use behaviors and is a key structural driver of tobacco-related disparities. This study evaluates the impacts of New York City's (NYC) novel policy intervention to cap tobacco retail licenses on tobacco retailer density levels and neighborhood inequities in tobacco access. Using geocoded tobacco retail licensing data from 2010 to 2022, Bayesian conditional autoregressive Poisson panel models estimated the association between policy implementation in 2018 and retailer density per 1,000 population, controlling for neighborhood-level sociodemographic factors. Data were analyzed in 2023. The number of tobacco retail licenses decreased from 9,304 in 2010 to 5,107 in 2022, with the rate of decline significantly accelerating post-policy (-14·2% versus -34·2%). Policy effects were stronger in districts with lower income and greater proportions of non-Hispanic Black residents. NYC's policy substantially reduced tobacco retailer density and appeared to close longstanding patterns of inequity in tobacco access, serving as a rare example of a tobacco control policy that may effectively reduce tobacco-related disparities. This emergent approach to restructure tobacco retail in communities may reach populations that have not benefitted from traditional tobacco control policies and should be considered by other localities.

Uncertainty Reduction and Environmental Justice in Air Pollution Epidemiology: The Importance of Minority Representation.

Ambient air pollution is an increasing threat to society, with rising numbers of adverse outcomes and exposure inequalities worldwide. Reducing uncertainty in health outcomes models and exposure disparity studies is therefore essential to develop policies effective in protecting the most affected places and populations. This study uses the concept of information entropy to study tradeoffs in mortality uncertainty reduction from increasing input data of air pollution versus health outcomes. We study a case scenario for short-term mortality from particulate matter (PM2.5) in North Carolina for 2001-2016, employing a case-crossover design with inputs from an individual-level mortality data set and high-resolution gridded data sets of PM2.5 and weather covariates. We find a significant association between mortality and PM2.5, and the information tradeoffs indicate that a 10% increase in mortality information reduces model uncertainty three times more than increased resolution of the air pollution model from 12 to 1km. We also find that Non-Hispanic Black (NHB) residents tend to live in relatively more polluted census tracts, and that the mean PM2.5 for NHB cases in the mortality model is significantly higher than that of Non-Hispanic White cases. The distinct distribution of PM2.5 for NHB cases results in a relatively higher information value, and therefore faster uncertainty reduction, for new NHB cases introduced into the mortality model. This newfound influence of exposure disparities in the rate of uncertainty reduction highlights the importance of minority representation in environmental research as a quantitative advantage to produce more confident estimates of the true effects of environmental pollution.

Financial, Social, and Health Impacts from the COVID-19 Pandemic: Findings from the Healthy Chicago Survey.

This study examines self-reported impacts of the COVID-19 pandemic among Chicago residents and disparities of these impacts across demographic characteristics. Six logistic regression models were developed to identify demographic and socioeconomic factors associated with each COVID-19 impact. The study used de-identified and weighted data from the 2020 Healthy Chicago Survey (HCS). HCS is an annual survey using an address-based random sampling method administered by the Chicago Department of Public Health (CDPH) across the city of Chicago on adults aged 18 or older living between July 17 and November 11, 2020, and received 4517 responses. Chicago residents with lower socioeconomic status had a higher likelihood of food and housing insecurity. Non-Hispanic (NH) Black residents were more likely to report being unable to obtain food (OR: 2.996; 95% CI: 2.268-2.324); being unable to pay for rent, mortgage, or bills (OR: 2.352; 95% CI: 2.325-2.380); and grief from a loss of someone to COVID-19 (OR: 2.037; 95% CI: 2.013-2.061) compared to NH White residents. NH White residents were more likely than other racial/ethnic groups to report loss of social connections, worsened mental health, and canceling or postponing medical care. The analysis showed higher odds of social contact loss and worsened mental health from COVID-19 in NH White and higher education populations. By implementing strategies to address specific challenges faced by different racial groups, Chicago may effectively mitigate pandemic's adverse effects. These strategies can promote a more inclusive approach to distributing COVID investments for programs and policies.

Federal Nursing Home Policies on Antipsychotics had Similar Impacts by Race and Ethnicity for Residents With Dementia.

Federal initiatives have been successful in reducing antipsychotic exposure in nursing home residents with dementia. We assessed if these initiatives were implemented equally across racial and ethnic minority groups. Retrospective, cross-sectional trends study. National long-stay nursing home residents with dementia from 2011 to2017. We examined trends in psychotropic drug class exposures from the Minimum Data Set assessments for non-Hispanic Black (NHB), Hispanic, and non-Hispanic White (NHW) residents using interrupted time-series analyses with age-sex standardized quarterly outcomes and time points to denote the National Partnership (2012) and Five Star Rating changes (2015). Initially, antipsychotic (33.0%) and sedative (6.8%) exposure was highest for Hispanic residents; antidepressant (59.8%) and anxiolytic (23.4%) exposure was highest for NHW residents; NHB residents had the lowest use of each. Antipsychotic use dropped at the time of the Partnership (β=-0.8807, P=.0023) and the slope declined further after the Partnership (β=-0.6611, P < .0001) for NHW. In comparison to NHW, the level and slope changes for NHB and Hispanics were not significantly different. The Five Star Rating change did not impact the level of antipsychotic use (β= 0.027, P= .9467), but the slope changed to indicate a slowed rate of decline (β= 0.1317, P= .4075) for NHW. As to the other psychotropic drug classes, there were few significant differences between trends seen in the racial and ethnic subgroups. The following exceptions were noted: antidepressant use decreased at a faster rate for NHB residents post-Partnership (β=-0.1485, P= .0371), and after the Five Star Rating change, NHB residents (β=-0.0428, P= .0312) and Hispanic residents (β=-0.0834, P < .0001) saw antidepressant use decrease faster than NHW. Sedative use in slope post-Partnership period (β=-0.086, P= .0275) and post-Five Star Rating (β=-0.0775, P < .0001) declined faster among Hispanic residents. We found little evidence of clinically meaningful differences in changes to 4 classes of psychotropic medication use among racial and ethnic minority nursing home residents with dementia following 2 major federal initiatives.

The Elephant in the Room: Racial Microaggressions and Implicit Bias in Surgical Training.

The aim of this study was to examine the association between race, experience of microaggressions, and implicit bias in surgical training. There is persistent underrepresentation of specific racial and ethnic groups in the field of surgery. Prior research has demonstrated significant sex differences among those who experience microaggressions during training. However, little research has been conducted on the association between race and experiences of microaggressions and implicit bias among surgical trainees. A 46-item survey was distributed to general surgery residents and residents of surgical subspecialties through the Association of Program Directors in Surgery listserv and social media platforms. The questions included general information/demographic data and information about experiencing, witnessing, and responding to microaggressions during surgical training. The primary outcome was the prevalence of microaggressions during surgical training by self-disclosed race. Secondary outcomes were predictors of and adverse effects of microaggressions. A total of 1624 resident responses were obtained. General surgery residents comprised 825 (50.8%) responses. The female-to-male ratio was nearly equal (815:809). The majority of respondents identified as non-Hispanic White (63.4%), of which 5.3% of residents identified as non-Hispanic Black, and 9.5% identified as Hispanic. Notably, 91.9% of non-Hispanic Black residents (n=79) experienced microaggressions. After adjustment for other demographics, non-Hispanic Black residents were more likely than non-Hispanic White residents to experience microaggressions [odds ratio (OR): 8.81, P <0.001]. Similar findings were observed among Asian/Pacific Islanders (OR: 5.77, P <0.001) and Hispanic residents (OR: 3.35, P <0.001). Race plays an important role in experiencing microaggressions and implicit bias. As the future of our specialty relies on the well-being of the pipeline, it is crucial that training programs and institutions are proactive in developing formal methods to address the bias experienced by residents.