non-Hispanic White Residents Research Articles

Sex, Racial/Ethnic, and Regional Disparities in Pulmonary Embolism Mortality Trends in the USA, 1999-2020.

While the National Institutes of Health emphasize integrating sex as a biological variable into research, specific considerations of sex-related differences in pulmonary embolism (PE) mortality trends remain scarce. This study examines sex-based PE mortality trends across regional and demographic groups in the USA from 1999 to 2020. A retrospective analysis of National Center for Health Statistics mortality data from 1999 to 2020 was conducted. Using ICD-10 code I26, PE decedents were identified. Piecewise linear regression assessed sex-based temporal trends in PE mortality by age, race/ethnicity, and census region. Annual percentage changes and average annual percentage changes were derived using Weighted Bayesian Information Criteria. The 95% confidence intervals were estimated using the empirical quantile method. From 1999 to 2020, a total of 179,273 individuals died in the USA due to PE, resulting in an age-adjusted mortality rate of 2.5 per 100,000 persons (95% CI, 2.5-2.5). While men and women exhibited comparable rates in recent time segments and across most subcategories, a higher mortality trend among males compared to females was observed among non-Hispanic White and Hispanic individuals and residents of the Western US census region. These results remained robust even after excluding data from 2020, accounting for the potential impact of the COVID-19 pandemic. Our study highlights sex-based disparities in PE mortality trends in the USA from 1999 to 2020. Despite overall stable mortality rates, higher trends among males were evident in specific demographic groups and regions. These findings emphasize the importance of targeted interventions to mitigate PE-related mortality discrepancies across diverse populations.

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.

Health Disparities and the Influence of Culturally Competent Care in Overall Health and Healthcare Utilization among Hispanics in a Southeastern US Community.

Introduction: This study sought to assess disparities in health/healthcare utilization for Hispanic immigrant community in Greenville County, SC. The study also assessed the role of culturally competent care perceptions on health/healthcare utilization within this growing community. Methods: Secondary administrative data collected by a large health care system in the county facilitated the assessment of health/healthcare utilization disparities using multivariate regression. Primary purposive surveys collected among Hispanic adults assessed culturally competent care perceptions and health/healthcare utilization. Culturally competent care measures included: (1) provider understanding, (2) provider communication behaviors, (3) provider assurance, and (4) interpreter service access. Results: Health disparities were present, with Hispanic residents having lower overall health and lower routine healthcare seeking behaviors compared to non-Hispanic White residents. Moreover, culturally competent care perceptions influenced overall health and healthcare-seeking behavior within this growing Hispanic community. Hispanic residents who perceived negative communication behaviors, lack of assurance, and increased interpretive service barriers reported lower overall health and lower routine healthcare seeking behaviors. Conclusions: Addressing potential cultural competency barriers may reduce health disparities among underrepresented racial/ethnic communities as they grow and become established in the Southeast, while also improving broader health equity for all communities.

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...

Disparities in Obesogenic Environments by Income, Race/Ethnicity, and Rurality Across All US Counties.

Background: Research is needed to explore inequities in physical activity (PA) and access to healthy eating resources for children on a national scale. This study examined disparities in childhood obesogenic environments across all United States (US) counties by income and race/ethnicity and their interaction with county rurality. Methods: Data for four PA variables (exercise opportunities, school proximity, walkability, crime) and six nutrition variables (grocery stores, farmers markets, fast-food restaurants, full-service restaurants, convenience stores, and births at baby-friendly hospitals) were collected for all US counties (n = 3142) to comprise the Childhood Obesogenic Environment Index (COEI). Variables were ranked and allocated a percentile for each county, and a total obesogenic environment score was created by averaging variable percentiles. Analysis of variance was used to assess differences by tertiles of county-level median household income (low/intermediate/high) and percentage of non-Hispanic (NH) White residents (low/intermediate/high). Interaction tests were used to assess effect modification by rurality, and stratified results were presented for all significant interactions. Results: There were significant differences in COEI values according to tertiles of median household income (F = 260.9, p < 0.0001). Low-income counties (M = 54.3, SD = 8.3) had worse obesogenic environments than intermediate (M = 49.9, SD = 7.9) or high (M = 45.9, SD = 8.8) income counties. There was also a significant interaction between rurality and median household income (F = 13.9, p < 0.0001). Similarly, there were significant differences in COEI values according to tertiles of race/ethnicity (F = 34.5, p < 0.0001), with low percentage NH White counties (M = 51.8, SD = 9.8) having worse obesogenic environment scores than intermediate (M = 48.7, SD = 8.4) or high (M = 49.5, SD = 8.5) NH White counties. There was also a significant interaction between rurality and race/ethnicity (F = 13.9, p < 0.0001). Conclusion: Low-income counties and those with more racial/ethnic minority residents, especially in rural areas, had less supportive PA and healthy eating environments for youth. Targeted policy and environmental approaches that aimed to address concerns specific to underserved communities are needed.

Tailored vs. General COVID-19 prevention for adults with mental disabilities residing in group homes: a randomized controlled effectiveness-implementation trial

BackgroundPeople with serious mental illness (SMI) and people with intellectual disabilities/developmental disabilities (ID/DD) are at higher risk for COVID-19 and more severe outcomes. We compare a tailored versus general best practice COVID-19 prevention program in group homes (GHs) for people with SMI or ID/DD in Massachusetts (MA).MethodsA hybrid effectiveness-implementation cluster randomized control trial compared a four-component implementation strategy (Tailored Best Practices: TBP) to dissemination of standard prevention guidelines (General Best-Practices: GBP) in GHs across six MA behavioral health agencies. GBP consisted of standard best practices for preventing COVID-19. TBP included GBP plus four components including: (1) trusted-messenger peer testimonials on benefits of vaccination; (2) motivational interviewing; (3) interactive education on preventive practices; and (4) fidelity feedback dashboards for GHs. Primary implementation outcomes were full COVID-19 vaccination rates (baseline: 1/1/2021–3/31/2021) and fidelity scores (baseline: 5/1/21–7/30/21), at 3-month intervals to 15-month follow-up until October 2022. The primary effectiveness outcome was COVID-19 infection (baseline: 1/1/2021–3/31/2021), measured every 3 months to 15-month follow-up. Cumulative incidence of vaccinations were estimated using Kaplan-Meier curves. Cox frailty models evaluate differences in vaccination uptake and secondary outcomes. Linear mixed models (LMMs) and Poisson generalized linear mixed models (GLMMs) were used to evaluate differences in fidelity scores and incidence of COVID-19 infections.ResultsGHs (n=415) were randomized to TBP (n=208) and GBP (n=207) including 3,836 residents (1,041 ID/DD; 2,795 SMI) and 5,538 staff. No differences were found in fidelity scores or COVID-19 incidence rates between TBP and GBP, however TBP had greater acceptability, appropriateness, and feasibility. No overall differences in vaccination rates were found between TBP and GBP. However, among unvaccinated group home residents with mental disabilities, non-White residents achieved full vaccination status at double the rate for TBP (28.6%) compared to GBP (14.4%) at 15 months. Additionally, the impact of TBP on vaccine uptake was over two-times greater for non-White residents compared to non-Hispanic White residents (ratio of HR for TBP between non-White and non-Hispanic White: 2.28, p = 0.03).ConclusionTailored COVID-19 prevention strategies are beneficial as a feasible and acceptable implementation strategy with the potential to reduce disparities in vaccine acceptance among the subgroup of non-White individuals with mental disabilities.Trial registrationClinicalTrials.gov, NCT04726371, 27/01/2021. https://clinicaltrials.gov/study/NCT04726371.

Associations of Household and Neighborhood Contexts and Hair Cortisol Among Mexican-Origin Adolescents From Low-Income Immigrant Families.

Although neighborhood contexts serve as upstream determinants of health, it remains unclear how these contexts "get under the skin" of Mexican-origin youth, who are disproportionately concentrated in highly disadvantaged yet co-ethnic neighborhoods. The current study examines the associations between household and neighborhood socioeconomic status (SES), neighborhood racial-ethnic and immigrant composition, and hair cortisol concentration (HCC)-a physiological index of chronic stress response-among Mexican-origin adolescents from low-income immigrant families in the United States. A total of 297 (54.20% female; mage=17.61, SD=0.93) Mexican-origin adolescents had their hair cortisol collected, and their residential addresses were geocoded and merged with the American Community Survey. Neighborhoods with higher Hispanic-origin and foreign-born residents were associated with higher neighborhood disadvantage, whereas neighborhoods with higher non-Hispanic White and domestic-born residents were associated with higher neighborhood affluence. Mexican-origin adolescents living in neighborhoods with a higher proportion of Hispanic-origin residents showed lower levels of HCC, consistent with the role of the ethnic enclave. In contrast, adolescents living in more affluent neighborhoods showed higher levels of HCC, possibly reflecting a physiological toll. No association was found between household SES and HCC. Our findings underscore the importance of taking sociocultural contexts and person-environment fit into consideration when understanding how neighborhoods influence adolescents' stress physiology.

Addressing racial and ethnic disparities in premature exits from permanent supportive housing among residents with substance use disorders.

Permanent supportive housing (PSH) is an evidence-based practice for reducing homelessness that subsidizes permanent, independent housing and provides case management-including linkages to health services. Substance use disorders (SUDs) are common contributing factors towards premature, unwanted ("negative") PSH exits; little is known about racial/ethnic differences in negative PSH exits among residents with SUDs. Within the nation's largest PSH program at the Department of Veterans Affairs (VA), we examined relationships among SUDs and negative PSH exits (for up to five years post-PSH move-in) across racial/ethnic subgroups. We used VA administrative data to identify a cohort of homeless-experienced Veterans (HEVs) (n = 2,712) who were housed through VA Greater Los Angeles' PSH program from 2016-2019. We analyzed negative PSH exits by HEVs with and without SUDs across racial/ethnic subgroups (i.e., African American/Black, Non-Hispanic White, Hispanic/Latino, and Other/Mixed [Asian, American Indian or Alaskan Native, and Native Hawaiian or Other Pacific Islander, and multi-race]) in controlled models and accounting for competing risk of death. In competing risk models, HEVs with at least one SUD had 1.3 times the hazard of negative PSH exits compared to those without SUDs (95% CI: 1.00, 1.61). When stratifying by race/ethnicity, Other/Mixed race residents with at least one SUD had 6.4 times the hazard of negative PSH exits compared to their peers without SUDs (95% CI: 1.61-25.50). Hispanic/Latino residents with at least one SUD had 1.9 times the hazard compared to those without SUDs, also indicating a strong relationship with negative PSH exits; however, this association was not statistically significant (95% CI: 0.85-4.37). Black residents with at least one SUD had 1.2 times the hazard compared to those without SUDs (95% CI: 0.85-1.64), indicating no evidence of an association with negative PSH exits. Similarly, Non-Hispanic White residents with at least one SUD had 1.1 times the hazard compared to those without SUDs (95% CI: 0.75-1.66). These findings suggest relationships between SUDs and negative PSH exits differ between race/ethnic groups and suggest there may be value in culturally specific tailoring and implementation of SUD services for these subgroups.

Build environment, race, and walking behavior: A multiscale analysis

Hispanics have a documented higher risk of obesity than other ethnic minorities. Walking can reduce the risk of obesity and promote healthy living. However, walking behavior varies with race/ethnicity, and Hispanics’ walking behavior is less understood. This study compared the walking behaviors of Hispanic and non-Hispanic White residents in Salt Lake County (SLCo), Utah, at the personal and block group levels, based on data from the Utah Household Travel Survey (UHS), which covered 2800 households and 176 Hispanic individuals in SLCo, including their travel trips and socioeconomic status. Trip-level data from the UHS were aggregated into personal and block group levels based on trip ends for multiscale analysis. Our statistical analysis suggested that Hispanics’ walking frequency and density were significantly lower than those of non-Hispanic Whites. According to the personal-level model, education generally contributed to ethnic disparities in walking, but higher education did not increase Hispanics’ walking frequency. The block-group-level model showed that non-Hispanic Whites’ walking behavior was highly sensitive to the built environment. We also found positive impacts of worship accessibility on walking density, which might be unique to non-Hispanic White neighborhoods in SLCo. Built environment factors influenced Hispanics’ walking behavior less than that of non-Hispanic Whites, and the primary determinants included car ownership, driving license, and accessibility of public transit. The research outcomes of this study could provide implications for designing strategies to promote walkability based on ethnic disparities. This also encourages further investigations into the equity of walkable environments for different racial/ethnic populations as an environmental injustice issue.

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.

Potentially Avoidable Hospitalizations Among Historically Marginalized Nursing Home Residents

Nursing home (NH) transfers to hospitals are common and have been associated with cognitive decline; approximately 45% of NH hospital transfers are potentially avoidable hospitalizations (PAHs). To determine PAH incidence for historically marginalized NH residents with severe cognitive impairment compared with non-Hispanic White residents. This cross-sectional study merged 2018 Centers for Medicaid & Medicare Services datasets and LTCFocus, a public dataset on US NH care, for US NH residents aged 65 years and older who had a hospitalization. Analyses were performed from January to May 2022. Race and ethnicity of NH residents. Racial and ethnic differences in resident-level annual rates of PAHs were estimated for residents with and without severe cognitive impairment (measured using the Cognitive Function Scale), controlling for resident characteristics, comorbidities, dual eligibility, and time at risk. PAHs were defined as NH hospital transfers that resulted from neglectful NH care or for which NH treatment would have been appropriate. Of 2 098 385 NH residents nationwide included in the study, 7151 (0.3%) were American Indian or Alaska Native, 39 873 (1.9%) were Asian, 229 112 (10.9%) were Black or African American, 99 304 (4.7%) were Hispanic, 2785 (0.1%) were Native Hawaiian or Pacific Islander, 1 713 670 (81.7%) were White, and 6490 (0.3%) were multiracial; 1 355 143 (64.6%) were female; 128 997 (6.2%) were severely cognitively impaired; and the mean (SD) age was 81.8 (8.7) years. PAH incidence rate ratios (IRRs) were significantly greater for residents with severe cognitive impairment compared with those without. In unadjusted analyses comparing historically marginalized residents with severe cognitive impairment vs non-Hispanic White residents with severe cognitive impairment, American Indian or Alaska Native residents had a 49% higher PAH incidence (IRR, 1.49 [95% CI, 1.10-2.01]), Black or African American residents had a 64% higher incidence (IRR, 1.64 [95% CI, 1.48-1.81]), and Hispanic residents had a 45% higher incidence (IRR, 1.45 [95% CI, 1.29-1.62]). Higher incidences persisted for historically marginalized residents with severe cognitive impairment vs non-Hispanic White residents with severe cognitive impairment in adjusted analyses. Asian residents had a 24% higher PAH incidence (IRR, 1.24 [95% CI, 1.06-1.45]), Black or African American residents had a 48% higher incidence (IRR, 1.48 [95% CI, 1.36-1.60]), and Hispanic residents had a 27% higher incidence (IRR, 1.27 [95% CI, 1.16-1.39]). In this cross-sectional study of PAHs, compared with non-Hispanic White NH residents, historically marginalized residents had increased PAH incidence. In the presence of severe cognitive impairment, incidence rates increased significantly compared with rates for residents without severe cognitive impairment. These results suggest that identification of residents with severe cognitive impairment and proper NH care may help prevent further cognitive decline by avoiding PAHs.

Immigrant Threat or Institutional Context? Examining Police Agency and County Context and the Implementation of the 287(g) Program

ABSTRACT During the early 2000s, the U.S. government began to partner with local law enforcement agencies for assistance with the enforcement of immigration laws. Participation in the voluntary 287(g) program by law enforcement agencies was an important early iteration of this new strategy. Although relatively few agencies adopted 287(g), its implementation was a critical turning point in the nation’s approach to immigration enforcement and has been linked to a wide range of negative consequences for Latinos, including higher levels of violent victimization, and decreases in police trust. This study advances knowledge about the factors associated with 287(g) program adoption during the late 2000s. We examined the role of agency ethnoracial diversity and fiscal capacity and several theoretically relevant indicators of the broader county context. Based on a sample of 880 law enforcement agencies located in 233 counties, rare event logistic regression models indicate that the strongest predictors of 287(g) adoption were the share of county population estimated to be undocumented immigrants, the degree of support for the Republican Presidential candidate, and the relative unemployment of Hispanic and non-Hispanic White residents. Overall, the results suggest that 287(g) was primarily a political response to concerns about the potential threats associated with undocumented immigration.

Disparities in Mentorship and Implications for US Surgical Resident Education and Wellness

Many surgeons cite mentorship as a critical component of training. However, little evidence exists regarding factors associated with mentorship and the influence of mentorship on trainee education or wellness. To evaluate factors associated with surgical trainees' perceptions of meaningful mentorship, assess associations of mentorship with resident education and wellness, and evaluate programmatic variation in mentorship. A voluntary, anonymous survey was administered to clinically active residents in all accredited US general surgery residency programs following the 2019 American Board of Surgery In-Service Training Examination. Data were analyzed from July 2019 to July 2022. Residents were asked, "Do you have a mentor who genuinely cares about you and your career?" Resident characteristics associated with report of meaningful mentorship were evaluated with multivariable logistic regression. Associations of mentorship with education (clinical and operative autonomy) and wellness (career satisfaction, burnout, thoughts of attrition, suicidality) were examined using cluster-adjusted multivariable logistic regression controlling for resident and program factors. Residents' race and ethnicity were self-identified using US census categories (American Indian or Alaska Native, Asian, Black or African American, Native Hawaiian or Other Pacific Islander, and White), which were combined and dichotomized as non-Hispanic White vs non-White or Hispanic. A total of 6956 residents from 301 programs completed the survey (85.6% response rate); 6373 responded to all relevant questions (2572 [40.3%] female; 2539 [39.8%] non-White or Hispanic). Of these, 4256 (66.8%) reported meaningful mentorship. Non-White or Hispanic residents were less likely than non-Hispanic White residents to report meaningful mentorship (odds ratio [OR], 0.81, 95% CI, 0.71-0.91). Senior residents (postgraduate year 4/5) were more likely to report meaningful mentorship than interns (OR, 3.06; 95% CI, 2.59-3.62). Residents with meaningful mentorship were more likely to endorse operative autonomy (OR, 3.87; 95% CI, 3.35-4.46) and less likely to report burnout (OR, 0.52; 95% CI, 0.46-0.58), thoughts of attrition (OR, 0.42; 95% CI, 0.36-0.50), and suicidality (OR, 0.47; 95% CI, 0.37-0.60) compared with residents without meaningful mentorship. One-third of trainees reported lack of meaningful mentorship, particularly non-White or Hispanic trainees. Although education and wellness are multifactorial issues, mentorship was associated with improvement; thus, efforts to facilitate mentorship are needed, especially for minoritized residents.

Local exposure misclassification in national models: relationships with urban infrastructure and demographics

BackgroundNational-scale linear regression-based modeling may mischaracterize localized patterns, including hyperlocal peaks and neighborhood- to regional-scale gradients. For studies focused on within-city differences, this mischaracterization poses a risk of exposure misclassification, affecting epidemiological and environmental justice conclusions.ObjectiveCharacterize the difference between intraurban pollution patterns predicted by national-scale land use regression modeling and observation-based estimates within a localized domain and examine the relationship between that difference and urban infrastructure and demographics.MethodsWe compare highly resolved (0.01 km2) observations of NO2 mixing ratio and ultrafine particle (UFP) count obtained via mobile monitoring with national model predictions in thirteen neighborhoods in the San Francisco Bay Area. Grid cell-level divergence between modeled and observed concentrations is termed “localized difference.” We use a flexible machine learning modeling technique, Bayesian Additive Regression Trees, to investigate potentially nonlinear relationships between discrepancy between localized difference and known local emission sources as well as census block group racial/ethnic composition.ResultsWe find that observed local pollution extremes are not represented by land use regression predictions and that observed UFP count significantly exceeds regression predictions. Machine learning models show significant nonlinear relationships among localized differences between predictions and observations and the density of several types of pollution-related infrastructure (roadways, commercial and industrial operations). In addition, localized difference was greater in areas with higher population density and a lower share of white non-Hispanic residents, indicating that exposure misclassification by national models differs among subpopulations.ImpactComparing national-scale pollution predictions with hyperlocal observations in the San Francisco Bay Area, we find greater discrepancies near major roadways and food service locations and systematic underestimation of concentrations in neighborhoods with a lower share of non-Hispanic white residents. These findings carry implications for using national-scale models in intraurban epidemiological and environmental justice applications and establish the potential utility of supplementing large-scale estimates with publicly available urban infrastructure and pollution source information.

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.

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.