White Residents Research Articles

Epidemiology of Mpox Cases, and Tecovirimat and JYNNEOS Utilization, Alameda County, California, June-October 2022.

The 2022 United States mpox outbreak disproportionately affected racial and ethnic minority gay, bisexual, and other men who have sex with men. We utilized surveillance data and vaccination registries to determine whether populations most impacted by mpox in Alameda County received JYNNEOS vaccines and tecovirimat (TPOXX) during June 1-October 31, 2022. Alameda County Public Health Department responded to the mpox epidemic through partnerships with local health care providers who serve communities disproportionately affected by mpox. During June 1-October 31, 2022, a total of 242 mpox cases were identified in Alameda County. Mpox incidence rates per 100 000 were highest among Black/African American (35.7; 95% confidence interval [CI], 26.8-46.5) and Hispanic/Latinx (25.1; CI, 20.1-30.9) residents, compared to Asian (3.8; CI, 2.3-5.9) and White (10.5; CI, 7.7-13.9) residents. Most confirmed cases were identified as gay, lesbian, or same-gender-loving (134, 67.3%) and bisexual (31, 15.6%); 226 (93.8%) cases were male. Sixty-nine (28.5%) mpox patients received TPOXX. There were no statistically significant differences in demographic and clinical characteristics of mpox cases when compared by TPOXX receipt status. JYNNEOS vaccine was received by 8277 Alameda County residents. The largest proportion of vaccinees were White residents (40.2%). Administration rates per 100 000 men who have sex with men were lowest among Asian and Hispanic/Latinx individuals, at 8779 (CI, 8283-9296) and 14 953 (CI, 14 156-15 784), respectively. Black/African American and Hispanic/Latinx males had the lowest vaccination-to-case ratios at 16.7 and 14.8, respectively. Mpox disproportionately affected Black/African American and Hispanic/Latinx men who have sex with men in Alameda County. Strong partnerships with local health care providers ensured that persons with mpox received TPOXX treatment when indicated. However, higher JYNNEOS vaccine uptake in Black and Latinx communities needs improvement through ongoing and meaningful engagement with Black/African American and Hispanic/Latinx gay, bisexual, and transgender communities.

General mental ability testing and adverse impact in the United Kingdom: a meta-analysis with more than two million observations

ABSTRACT We review ethnic group differences on high-stakes General Mental Ability (GMA) tests based on 21st century UK data. Thereafter, we meta-analyse scores on 23 occupational, public sector, educational, military, or general-public selection tests, with a sample size exceeding two million. Relative to White GMA, the grand meta-analytic effect sizes (Cohen’s d) by major ethnic groups were: Mixed d = .14 (k = 24, N = 67,114), Blacks d = .65 (k = 32, N = 112,975), Asians d = .33 (k = 32, N = 311,695), and Other d = .49 (k = 24, N = 42,846). Further, although Chinese residents outscored White British residents (d = −.15, k = 20, N = 18,897), all other Asian ethnic groups scored slightly to substantially lower. For example, South Asians as a whole averaged d = .37; k = 13, N = 67,566. By subgroups, these averages were: Indians (d = .17, k = 10, N = 28,236), Pakistanis (d = .49, k = 9, N = 19,371), and Bangladeshi (d = .55, k = 7, N = 19,772). Implications for practice and theory are discussed.

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.

The Impact of Sociodemographic Factors on Rates of Tympanostomy Tube Placement for Pediatric Otitis Media.

To identify the impact of race, ethnicity, and socioeconomic status (SES) on the rate of tympanostomy tube placement. Retrospective medical review and population-level analyses. Tertiary referral center. Demographic and population-level characteristics (age, gender, race, insurance status, and ZIP code) compared to the regional, health system, and otolaryngology clinic demographics. Among 38,461 children diagnosed with otitis media (OM) 61.4% were white, 27.4% were black, 32.7% had private insurance, and 18.2% were Hispanic. Among patients seen in the pediatric ear, nose, and throat (ENT) clinics, 70.0% were white, 20.0% were black, 46.6% had private insurance, and 14.9% were Hispanic. Further disparity was noted among those receiving tympanostomy tubes: 75.6% white, 15.6% black, 61.9% private insurance, and 11.7% Hispanic. Higher rates of tube placement were noted for those of white race [odds ratio, OR: 1.96, (95% confidence interval, CI: 1.85-2.04), <.001] and non-Hispanic ethnicity [OR: 1.67, (95% CI: 1.56-1.75), <.001]. Geographically, rates of tube placement were significantly lower in areas with higher deprivation indices, areas with lower proportions of white residents, and areas with the lowest median incomes. These markers correlate strongly with black race and Hispanic ethnicity. Lower rates of tube placement were also seen in majority white locales with higher deprivation indices and lower median incomes. Rates of access to pediatric ENT clinics, and of tube placement, are significantly lower for those of Hispanic ethnicity and black race than for non-Hispanic white children. Higher rates of tube placement were noted among white children and those with private insurance. Lower rates of tube placement were seen in areas of lower SES regardless of racial demographics.

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.

Who Owns the Neighborhood? Ethnoracial Composition of Property Ownership and Neighborhood Trajectories in San Francisco

Property owners play pivotal roles in the trajectories of neighborhoods with discretion over upkeep, residential turnover, and affordability. Yet, little is known about how and why the racial composition of ownership changes over time relative to residents within a neighborhood and, in turn, how this relates to the neighborhood’s change and stability. With a self-constructed dataset of all residential transactions in San Francisco from 1990 to 2017, we consider how the ethnoracial composition of ownership differs from that of residents and how this difference relates to neighborhood change. We find that neighborhoods with more non-White residents have greater differences between the ethnoracial compositions of owners and residents, with the largest differences in neighborhoods with more Black residents. An increase in the divergence between these distributions is related to future increases in White and Asian residents and higher socioeconomic status residents and decreases in Black and Hispanic residents, illustrating that neighborhoods where owners are more ethnoracially distinct from the residents are more prone to neighborhood change and residential turnover. Our findings contribute to understandings of inequalities in property ownership and illuminate the role of ownership in neighborhood change in the contemporary city.

The effects of Medicaid expansion on the racial/ethnic composition within nursing home residents

BackgroundThe Affordable Care Act (ACA), enacted in 2010, aimed to improve healthcare coverage for American citizens. This study investigates the impact of Medicaid expansion (ME) under the ACA on the racial and ethnic composition of nursing home admissions in the U.S., focusing on whether ME has led to increased representation of racial/ethnic minorities in nursing homes.MethodsA difference-in-differences estimation methodology was employed, using U.S. county-level aggregate data from 2000 to 2019. This approach accounted for multiple time periods and variations in treatment timing to analyze changes in the racial and ethnic composition of nursing home admissions post-ME. Additionally, two-way fixed effects (TWFE) regression was utilized to enhance robustness and validate the findings.ResultsThe analysis revealed that the racial and ethnic composition of nursing home admissions has become more homogeneous following Medicaid expansion. Specifically, there was a decline in Black residents and an increase in White residents in nursing homes. Additionally, significant differences were found when categorizing states by income inequality, and poverty rate levels. These findings remain statistically significant even after controlling for additional variables, indicating that ME influences the racial makeup of nursing home admissions.ConclusionsMedicaid expansion has not diversified nursing home demographics as hypothesized; instead, it has led to a more uniform racial composition, favoring White residents. This trend may be driven by nursing home preferences and financial incentives, which could favor residents with private insurance or higher personal funds. Mechanisms such as payment preferences and local cost variations likely contribute to these shifts, potentially disadvantaging Medicaid-reliant minority residents. These findings highlight the complex interplay between healthcare policy implementation and racial disparities in access to long-term care, suggesting a need for further research on the underlying mechanisms and implications for policy refinement.

Fines and Fees in Flux: Exploring Changes in Municipal Violation Sentencing after Court Reform

Monetary sanctions are a ubiquitous part of punishment in the criminal legal system. In recent years, highly publicized events have drawn attention to monetary sanctions at the intersection of poverty, race, and legal system contact. The current study uses Autoregressive Integrated Moving Average models to assess monetary sanction reform legislation in St. Louis, Missouri – where the U.S. Department of Justice’s 2015 Ferguson Report implicated monetary sanctions practices as a contributing to tension between the community and the criminal legal system. We find that white defendants experienced an increase in the average amount of fines received (the punishment portion of the sentence), further, the implementation of the reform (modeled as a step function) was associated with increased fee assessments for those receiving monetary sanctions. Further, racial gaps in total assessments across Black and white residents remained, even as fees for Black defendants declined. Our findings highlight how policies can improve some parts of the criminal legal system yet remain insufficient to fully address their stated goals.

Neighborhood-level racialized socioeconomic deprivation and contraceptive use in the United States, 2011-2019.

The social and structural environments where people live are understudied in contraceptive research. We assessed if neighborhood measures of racialized socioeconomic deprivation are associated with contraceptive use in the United States. We used restricted geographic data from four waves of the National Survey of Family Growth (2011-2019) limited to non-pregnant women ages 15-44 who had sex in the last 12 months. We characterized respondent neighborhoods (census tracts) with the Index of Concentration at the Extremes (ICE), a measure of spatial social polarization, into areas of concentrated privilege (predominantly white residents living on high incomes) and deprivation (predominantly people of color living on low incomes). We used multivariable binary and multinomial logistic regression with year fixed effects to estimate adjusted associations between ICE tertile and contraceptive use and method type. We also assessed for an interactive effect of ICE and health insurance type. Of the 14,396 respondents, 88.4% in neighborhoods of concentrated deprivation used any contraception, compared to 92.7% in the most privileged neighborhoods. In adjusted models, the predicted probability of using any contraception in neighborhoods of concentrated deprivation was 2.8 percentage points lower than in neighborhoods of concentrated privilege, 5.0 percentage points higher for barrier/coital dependent methods, and 4.3 percentage points lower for short-acting methods. Those with Medicaid were less likely to use any contraception than those with private insurance irrespective of neighborhood classification. This study highlights the salience of structural factors for contraceptive use and the need for continued examination of structural oppressions to inform health policy.

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.

Neighborhood factors associated with late effects among survivors of adolescent and young adult cancer.

The purpose of this study is to evaluate the associations between neighborhood income, education, and neighborhood racial composition (measured as a low percentage of white residents) and risk of developing cardiovascular diseases (CVD), diabetes (DM), and severe depression among survivors of AYA cancer and matched non-cancer peers. Two-year survivors of AYA cancers diagnosed at age 15-39 yrs at Kaiser Permanente Southern California (diagnosed 2000-2012) and individually matched (1:13) non-cancer subjects were included. The development of CVD, DM, and severe depression was ascertained via electronic health records. Neighborhood characteristics were obtained from census-based geocoded data. Cox regression evaluated associations between neighborhood characteristics and the health outcomes of interest among both the cancer survivors and the non-cancer comparison cohort and effect modification by cancer survivor status on these relationships. Among cancer survivors (n = 6774), living in mostly non-white neighborhoods, was associated with risk of CVD (hazard ratio (HR) = 1.54 (95% CI 1.00-2.36)), while lower education level (HR = 1.41 (95% CI 1.02-1.94)) was associated with risk of severe depression. None of the neighborhood characteristics were associated with risk of DM. Effect modification was found for neighborhood education and risk of DM and severe depression. When jointly considered, cancer survivors who resided in the most disadvantaged neighborhoods were at the highest risk of developing these health outcomes compared to other subgroups. Our findings may inform screening strategy and addressing social determinants of health among AYA cancer survivors.

Development of Neighborhood Trajectories Employing Historic Redlining and the Area Deprivation Index.

The role of historic residential redlining on health inequities is intertwined with policy changes made before and after the 1930s that influence current neighborhood characteristics and shape ongoing structural racism in the United States (U.S.). We developed Neighborhood Trajectories which combine historic redlining data and the current neighborhood socioeconomic characteristics as a novel approach to studying structural racism. Home Owners' Loan Corporation (HOLC) neighborhoods for the entire U.S. were used to map the HOLC grades to the 2020 U.S. Census block group polygons based on the percentage of HOLC areas in each block group. Each block group was also assigned an Area Deprivation Index (ADI) from the Neighborhood Atlas®. To evaluate changes in neighborhoods from historic HOLC grades to present degree of deprivation, we aggregated block groups into "Neighborhood Trajectories" using historic HOLC grades and current ADI. The Neighborhood Trajectories are "Advantage Stable"; "Advantage Reduced"; "Disadvantage Reduced"; and "Disadvantage Stable." Neighborhood Trajectories were established for 13.3% (32,152) of the block groups in the U.S., encompassing 38,005,799 people. Overall, the Disadvantage-Reduced trajectory had the largest population (16,307,217 people). However, the largest percentage of non-Hispanic/Latino Black residents (34%) fell in the Advantage-Reduced trajectory, while the largest percentage of Non-Hispanic/Latino White residents (60%) fell in the Advantage-Stable trajectory. The development of the Neighborhood Trajectories affords a more nuanced mechanism to investigate dynamic processes from historic policy, socioeconomic development, and ongoing marginalization. This adaptable methodology may enable investigation of ongoing sociopolitical processes including gentrification of neighborhoods (Disadvantage-Reduced trajectory) and "White flight" (Advantage Reduced trajectory).

Characteristics of Injurious Shootings by Police Along the Urban–Rural Continuum

INTRODUCTIONMuch research on shootings by police has focused on urban jurisdictions, but most US law enforcement agencies are not located in cities. Prior research suggests rates of fatal shootings by police are comparable in urban and non-urban areas. Yet, shooting characteristics across the urban-rural continuum are unknown. This study describes and compares fatal and nonfatal injurious shootings by officers in US urban, suburban, and rural areas from 2015-2020. METHODSCharacteristics of fatal and nonfatal injurious shootings by police were abstracted from Gun Violence Archive. In 2023-2024, using zip-code and county-based rurality designations, the national distribution, incidence, and characteristics of injurious shootings by police were compared across urban, suburban, and rural areas of the United States. RESULTSRates of injurious shootings in rural areas approached or exceeded urban rates. As rurality increased, proportionately more injurious shootings involved single responders, sheriffs, or multiple agency types. Across the urban-rural continuum, characteristics of precipitating incidents were similar. Injurious shootings were most frequently preceded by domestic violence incidents, traffic stops, or shots-fired reports; co-occurring behavioral health needs were common. After accounting for local demographic differences, Black, Indigenous, and Hispanic residents were injured at higher rates than white residents in all examined areas. CONCLUSIONSShootings by police represent an overlooked and inequitable source of injury in rural areas. Broadly similar incident characteristics suggest potential for wide-reaching reforms. To prevent injuries, crisis prevention, dispatch, and response systems must assure proportionate rural-area coverage. Additionally, legislative prevention and accountability measures should include sheriffs’ offices for optimal rural-area impact.

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.

Neighbourhood-level policing as a racialised gendered stressor: multilevel analysis of police stops and preterm birth in Seattle, Washington

BackgroundMost studies capturing the health effects of police violence focus on directly impacted individuals, but a burgeoning field of study is capturing the indirect, community-level health effects of policing. Few...

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.

Piloting a Measure of Segregation at the Census Tract Level: Associations with Place and Racial/Ethnic Disparities in Life Expectancy.

This study considers residential segregation as a critical driver of racial/ethnic health disparities and introduces a proxy measure of segregation that estimates the degree of segregation at the census tract level with a metric capturing the overrepresentation of a racialized/ethnic group in a census tract in relation to that group's representation at the city level. Using Dallas, Texas as a pilot city, the measure is used to investigate mean life expectancy at birth for relatively overrepresented Hispanic, non-Hispanic white, non-Hispanic Black, and Asian census tracts and examine for significant differences between mean life expectancy in relatively overrepresented census tracts and that group's mean life expectancy at the state level. Multivariable linear regression analysis was utilized to assess how segregation measured at the census tract level associates with life expectancy across different racialized/ethnic groups, controlling for socioeconomic disparities. This study aimed to expose the need to consider the possibility of neighborhood mechanisms beyond socioeconomic characteristics as an important determinant of health and draw attention to the importance of critically engaging the experience of place in examinations of racial and ethnic health disparities. Multivariable linear regression modeling resulted in significant findings for non-Hispanic Black, non-Hispanic white, and Asian groups, indicating increased census tract-level life expectancy for Black and white residents in highly segregated census tracts and decreased life expectancy for residents of tracts in which the Asian community is overrepresented when compared to state means. Unadjusted models demonstrated socioeconomic inequities between first and fourth quartile census tracts and pointed to the importance of mixed methods in health disparities research and the importance of including the voice of community members to account for places of daily lived experience and people's relationships with them.

US County-Level Variation in Availability and Prevalence of Black Physicians in 1906

Black physicians are substantially underrepresented in the US health care workforce, with detrimental effects on the health and health care experiences of Black individuals. These contemporary gaps can be traced to the early days of the medical profession using the first edition of the American Medical Directory (AMD). To identify state- and county-level patterns related to the training and availability of Black physicians relative to their White counterparts in the 1906 AMD. For this cross-sectional study, data for 41 828 physician entries in 18 US states in or adjacent to the South as well as the District of Columbia were extracted from the 1906 AMD and aggregated to 1570 counties. Data analysis was performed between September 2023 and January 2024. County-level exposure variables included population density, racial composition, and illiteracy rate among US-born White residents as well as an index of terrain ruggedness and the number of lynchings in the previous decade. Median values of physicians' distance from place of practice to place of medical training (by race of physician) were also used as an exposure variable. There were 4 county-level outcomes: (1) presence of any Black physician, (2) proportion of Black physicians per Black population, (3) proportion of White physicians per White population, and (4) community representativeness (reported as the community representativeness ratio). The cross-sectional analysis used generalized additive mixed models with state-level random effects. Across 1570 counties, Black physicians comprised 746 (1.8%) of the 41 828 physicians in the dataset. Black physicians tended to train further from their place of practice than their White counterparts. The proportion of Black physicians per 1000 Black residents was 0.08 compared with 1.62 for White physicians; these proportions varied substantially by state. At the county level, the presence of any Black physician was associated with percentage Black population (odds ratio [OR], 28.94 [95% CI, 9.77 to 85.76]; P ≤ .001), population density (OR, 2.63 [95% CI, 2.03 to 3.40]; P ≤ .001), and distance to the nearest Black medical school (OR, 0.62 [95% CI, 0.42 to 0.92]; P = .02). A variety of structural disadvantages are illustrated in this cross-sectional study of county-level sociodemographic and geographic characteristics associated with the prevalence of Black physicians in the earliest days of the profession. To demonstrate its broader utility for health disparities research, the dataset has been made publicly available with a visualization platform.