Racialized economic segregation and health outcomes: A systematic review of studies that use the Index of Concentration at the Extremes for race, income, and their interaction

Racialized economic segregation and inequities in treatment initiation and survival among patients with metastatic breast cancer

PURPOSE

Racialized economic segregation, a form of structural racism, may drive persistent inequities among patients with breast cancer. We examined whether a composite area-level index of racialized economic segregation was associated with real-world treatment and survival in metastatic breast cancer (mBC).

METHODS

We conducted a retrospective cohort study among adult women with mBC using a US nationwide electronic health record-derived de-identified database (2011-2022). Population-weighted quintiles of the index of concentration at the extremes were estimated using census tract data. To identify inequities in time to treatment initiation (TTI) and overall survival (OS), we employed Kaplan-Meier methods and estimated hazard ratios (HR) adjusted for clinical factors.

RESULTS

The cohort included 27,459 patients. Compared with patients from the most privileged areas, those from the least privileged areas were disproportionately Black (36.9% vs. 2.6%) or Latinx (13.2% vs. 2.6%) and increasingly diagnosed with de novo mBC (33.6% vs. 28.9%). Those from the least privileged areas had longer median TTI than those from the most privileged areas (38 vs 31 days) and shorter median OS (29.7 vs 39.2 months). Multivariable-adjusted HR indicated less timely treatment initiation (HR 0.87, 95% CI 0.83, 0.91, p < 0.01) and worse OS (HR 1.19, 95% CI 1.13, 1.25, p < 0.01) among those from the least privileged areas compared to the most privileged areas.

CONCLUSION

Racialized economic segregation is a social determinant of health associated with treatment and survival inequities in mBC. Public investments directly addressing racialized economic segregation and other forms of structural racism are needed to reduce inequities in cancer care and outcomes.

Dynamic changes in place-based measures of structural racism and preterm birth in the USA

BACKGROUND

Structurally racist systems, ideologies and processes generate and reinforce inequities among minoritised racial/ethnic groups. Prior cross-sectional literature finds that place-based structural racism, such as the Index of Concentration at the Extremes (ICE), correlates with higher infant morbidity and mortality. We move beyond cross-sectional approaches and examine whether a decline in place-based structural racism over time coincides with a reduced risk of preterm birth across the USA.

METHODS

We used as the outcome count of preterm births overall and among non-Hispanic (NH) black and NH white populations across three epochs (1998-2002, 2006-2010, 2014-2018) in 1160 US counties. For our measure of structural racism, we used ICE race/income county measures from the US Census Bureau. County-level fixed effects Poisson models include a population offset (number of live births) and adjust for epoch indicators, per cent poverty and mean maternal age within counties.

RESULTS

An SD increase in ICE (0.11) over time corresponds with a 0.6% reduced risk of preterm birth overall (incidence rate ratio (IRR): 0.994, 95% CI 0.990, 0.998), a 0.6% decrease in preterm risk among NH black births (IRR: 0.994, 95% CI 0.989, 0.999) and a 0.4% decrease among NH white births (IRR: 0.996, 95% CI 0.992, 0.999).

CONCLUSIONS

Movement away from county-level concentrated NH black poverty preceded reductions in preterm risk, especially among NH black populations. Our longitudinal design strengthens inference that place-based reductions in structural racism may improve perinatal health. These improvements, however, do not appear sufficient to redress large disparities.

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

INTRODUCTION

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.

METHODS

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.

RESULTS

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.

CONCLUSIONS

This study highlights the salience of structural factors for contraceptive use and the need for continued examination of structural oppressions to inform health policy.

Association of Psychiatric Emergency Visits and Warm Ambient Temperature during Pregnancy: A Time-Stratified Case-Crossover Study

BACKGROUND

Acute exposure to high ambient temperature and heat waves during the warm season has been linked with psychiatric disorders. Emerging research has shown that pregnant people, due to physiological and psychological changes, may be more sensitive to extreme heat, and acute exposure has been linked to increased risk of pregnancy complications; however, few studies have examined psychiatric complications.

OBJECTIVE

Our objective was to examine the association between acute exposure to warm ambient temperatures and emergency department (ED) visits for mental disorders during pregnancy.

METHODS

A time-stratified case-crossover design with conditional logistic regression was performed on ∼ 206,000 psychiatric ED visits for pregnant patients in North Carolina, from May to September 2016 to 2019. Daily average ambient temperature was the main exposure and was linked to daily visits by maternal zip code of residence for prenatal mood and anxiety disorders (PMAD), severe mental illness (SMI), mental disorder of pregnancy (MDP), suicidal thoughts (SUIC), and any psychiatric disorder (Any). Effect modification by trimester, residential segregation, economic segregation, urbanicity, and availability of greenspace was also investigated.

RESULTS

Each 5 ° C increase in same-day exposure to warm ambient temperature on case days was associated with an increase in incidence rate ratio (IRR) for any psychiatric disorder [IRR = 1.07; 95% confidence interval (CI): 1.01, 1.14] including anxiety (IRR = 1.14; 95% CI: 1.00, 1.30), bipolar disorder (IRR = 1.28; 95% CI: 0.98, 1.67), and suicidal thoughts (IRR = 1.28; 95% CI: 1.00, 1.65) compared to control days. In general, the associations were strongest for warm season temperatures on the same day of exposure or for temperatures averaged over the 3 or 6 d preceding the ED visit. The greatest risk of an incident ED admission for PMAD (RR = 1.20; 95% CI: 1.04, 1.39), particularly for anxiety (RR = 1.30; 95% CI: 1.07, 1.59), and any psychiatric disorder (RR = 1.17; 95% CI: 1.07, 1.28) occurred following cumulative exposure to hot temperatures the week before admission. Higher psychiatric burden from temperature was observed in urban areas and on extreme heat days.

CONCLUSIONS

For this pregnant population in the southeastern United States, short-term exposure to high ambient temperatures during the warm season was associated with a greater risk of ED visits for an array of psychiatric disorders. Findings show that climate-related increases in ambient temperature may contribute to psychiatric morbidity in pregnant people. https://doi.org/10.1289/EHP13293.

Nurses' moral distress and leadership communication in hospitals serving Black patients during COVID-19

BACKGROUND

Poorer leadership communication during COVID-19 may have contributed to the moral distress of nurses in hospitals where Black patients predominantly access their care (BSH).

PURPOSE

To compare nurse moral distress and leadership communication during the COVID-19 pandemic in hospitals that serve disproportionately many or few patients of Black race.

METHODS

In a national hospital sample (n = 90), nurse survey data were collected (March 2021). Nurse moral distress was analyzed in linear regression models. The key covariates were BSH category (Medicare Black patient percentage) and leadership communication.

DISCUSSION

Nurses in high-BSH had significantly greater moral distress and more difficulty accessing personal protective equipment than nurses in low-BSH. The percentage of nurses in high-BSHs with high moral distress was double that of nurses in low-BSHs. Poorer leadership communication in BSHs accounted for the nurses' greater moral distress.

CONCLUSION

Policies should improve leadership communication, mitigate distress, and support nurses in under-resourced settings.

Community Health Workers: Improving Home Visiting Engagement of High-Risk Birthing People in Segregated Neighborhoods

CONTEXT

Racial and ethnic disparities in perinatal health remain a public health crisis. Despite improved outcomes from home visiting (HV) participation during pregnancy, most eligible individuals of color do not engage. Neighborhood segregation, a manifestation of structural racism, may impose constraints on engaging eligible individuals in HV.

OBJECTIVE

To examine whether race, ethnicity, and/or language-concordant community health workers (CHWs) increased HV engagement for birthing people in segregated neighborhoods.

DESIGN

Program evaluation using administrative linked data from birth records, Medicaid claims, and HV program participation. Strong Beginnings (SB), a program with HV provided by CHWs working with nurses and social workers, was compared with the Maternal Infant Health Program (MIHP), a state Medicaid-sponsored HV program without CHW involvement. Data were analyzed using χ 2 tests and Poisson regressions.

PARTICIPANTS

A total of 4560 individuals with a Medicaid-eligible birth between 2016 and 2019, including 1172 from SB and 3388 from the MIHP.

MAIN OUTCOME MEASURES

Penetration (percentage of participants in HV among all Medicaid-eligible individuals across quintiles of neighborhood segregation) and dosage (the total number of home visits from both CHWs and nurses/social workers, and then restricted to those from nurses/social workers).

RESULTS

SB penetrated more segregated neighborhoods than the MIHP (58.4% vs 48.3%; P < .001). SB participants received a higher dosage of home visits (mean [SD]: 11.9 [6.1]) than MIHP participants (mean [SD]: 4.4 [2.8], P < .001). Importantly, CHWs did not replace but moderately increased home visits from nurses and social workers (51.1% vs 35.2% with ≥5 intervention visits, P < .001), especially in more segregated neighborhoods.

POLICY IMPLICATION

Community-informed HV models intentionally designed for people facing disparities may help facilitate program outreach to segregated neighborhoods with concentrated deprivation and reduce racial and ethnic disparities.

CONCLUSIONS

An HV program provided by CHWs working with nurses and social workers was associated with an increase in penetration and dosage in segregated neighborhoods, compared with HV without CHW involvement. This underscores the value of CHWs partnering with licensed professional workers in improving HV engagement in disadvantaged communities.

Area Vulnerability and Disparities in Therapy for Patients With Metastatic Renal Cell Carcinoma

Importance

Area-level measures of sociodemographic disadvantage may be associated with racial and ethnic disparities with respect to receipt of treatment for metastatic renal cell carcinoma (mRCC) but have not been investigated previously, to our knowledge.

Objective

To assess the association between area-level measures of social vulnerability and racial and ethnic disparities in the treatment of US Medicare beneficiaries with mRCC from 2015 through 2019.

Design, Setting, and Participants

This retrospective cohort study included Medicare beneficiaries older than 65 years who were diagnosed with mRCC from January 2015 through December 2019 and were enrolled in fee-for-service Medicare Parts A, B, and D from 1 year before through 1 year after presumed diagnosis or until death. Data were analyzed from November 22, 2022, through January 26, 2024.

Exposures

Five different county-level measures of disadvantage and 4 zip code-level measures of vulnerability or deprivation and segregation were used to dichotomize whether an individual resided in the most vulnerable quartile according to each metric. Patient-level factors included age, race and ethnicity, sex, diagnosis year, comorbidities, frailty, Medicare and Medicaid dual enrollment eligibility, and Medicare Part D low-income subsidy (LIS).

Main Outcomes and Measures

The main outcomes were receipt and type of systemic therapy (oral anticancer agent or immunotherapy from 2 months before to 1 year after diagnosis of mRCC) as a function of patient and area-level characteristics. Multivariable regression analyses were used to adjust for patient factors, and odds ratios (ORs) from logistic regression and relative risk ratios (RRRs) from multinomial logistic regression are reported.

Results

The sample included 15 407 patients (mean [SD] age, 75.6 [6.8] years), of whom 9360 (60.8%) were men; 6931 (45.0%), older than 75 years; 93 (0.6%), American Indian or Alaska Native; 257 (1.7%), Asian or Pacific Islander; 757 (4.9%), Hispanic; 1017 (6.6%), non-Hispanic Black; 12 966 (84.2%), non-Hispanic White; 121 (0.8%), other; and 196 (1.3%), unknown. Overall, 8317 patients (54.0%) received some type of systemic therapy. After adjusting for individual factors, no county or zip code-level measures of social vulnerability, deprivation, or segregation were associated with disparities in treatment. In contrast, patient-level factors, including female sex (OR, 0.78; 95% CI, 0.73-0.84) and LIS (OR, 0.48; 95% CI, 0.36-0.65), were associated with lack of treatment, with particularly limited access to immunotherapy for patients with LIS (RRR, 0.25; 95% CI, 0.14-0.43). Associations between individual-level factors and treatment in multivariable analysis were not mediated by the addition of area-level metrics. Disparities by race and ethnicity were consistently and only observed within the most vulnerable areas, as indicated by the top quartile of each vulnerability deprivation index.

Conclusions and Relevance

In this cohort study of older Medicare patients diagnosed with mRCC, individual-level demographics, including race and ethnicity, sex, and income, were associated with receipt of systemic therapy, whereas area-level measures were not. However, individual-level racial and ethnic disparities were largely limited to socially vulnerable areas, suggesting that efforts to improve racial and ethnic disparities may be most effective when targeted to socially vulnerable areas.

Inequity in US Racial/Ethnic Infant Health and Birth Outcomes: The Role of the Adult Sex Ratio as a Potential Indicator of Structural Anti-Black Racism

BACKGROUND

Structural racism accounts for inequity in health outcomes in ways that are difficult to measure. To conduct more actionable research and measure the impact of intervention programs, there is a need to develop indicator measures of structural racism. One potential candidate is the Adult Sex Ratio (ASR), which was identified by Du Bois as an important indicator of social life functioning over 100 years ago and has remained significant up to the present day. This study investigated the utility of this measure.

METHODS

We compared birth/infant health outcomes using the US 2000 Linked Birth/Infant Death Cohort Data Set matched with 2000 Census data on adult sex ratios in multilevel logistic regression models, stratified by the racial/ethnic category of the mothers.

RESULTS

In an adjusted model, the odds of infant death was 21% higher among non-Hispanic Black (NHB) women living in counties in the lowest ASR tertile category when compared to their counterparts in counties in the highest ASR tertile. Similarly, the odds of giving birth to a preterm or a low birth weight infant were each 20% higher among NHB women living in counties in the lowest ASR tertile compared to their counterparts in counties in the highest ASR tertile.

CONCLUSION

ASRs may serve as a useful indicator of anti-Black structural racism at the local level. More research is needed to determine the circumstances under which this factor may serve to improve assessment of structural racism and facilitate health equity research.

Racial and Economic Segregation Over the Life Course and Incident Hypertensive Disorders of Pregnancy Among Black Women in California

Black women in the United States have the highest incidence of hypertensive disorders of pregnancy (HDP) and are disproportionately burdened by its adverse sequalae, compared with women of all racial and ethnic groups. Segregation, a key driver of structural racism for Black families, can provide information critical to understanding these disparities. We examined the association between racial and economic segregation at 2 points and incident HDP using intergenerationally linked birth records of 45,204 Black California-born primiparous mothers (born 1982-1997) and their infants (born 1997-2011), with HDP ascertained from hospital discharge records. Women's early childhood and adulthood neighborhoods were categorized as deprived, mixed, or privileged based on the Index of Concentration at the Extremes (a measure of concentrated racial and economic segregation), yielding 9 life-course trajectories. Women living in deprived neighborhoods at both time points experienced the highest odds of HDP (from mixed effect logistic regression, unadjusted odds ratio = 1.26, 95% confidence interval: 1.13, 1.40) compared with women living in privileged neighborhoods at both time points. All trajectories involving residence in a deprived neighborhood in early childhood or adulthood were associated with increased odds of HDP, whereas mixed-privileged and privileged-mixed trajectories were not. Future studies should assess the causal nature of these associations.

The Implications of Racialized Economic Segregation and Allostatic Load on Mortality in Patients with Breast Cancer

BACKGROUND

The objective of this study was to examine the association between racialized economic segregation, allostatic load (AL), and all-cause mortality in patients with breast cancer.

PATIENTS AND METHODS

Women aged 18+ years with stage I-III breast cancer diagnosed between 01/01/2012 and 31/12/2020 were identified in the Ohio State University cancer registry. Racialized economic segregation was measured at the census tract level using the index of concentration at the extremes (ICE). AL was calculated with biomarkers from the cardiac, metabolic, immune, and renal systems. High AL was defined as AL greater than the median. Univariable and multivariable regression analyses using restricted cubic splines examined the association between racialized economic segregation, AL, and all-cause mortality.

RESULTS

Among 4296 patients, patients residing in neighborhoods with the highest racialized economic segregation (Q1 versus Q4) were more likely to be Black (25% versus 2.1%, p < 0.001) and have triple-negative breast cancer (18.2% versus 11.6%, p < 0.001). High versus low racialized economic segregation was associated with high AL [adjusted odds ratio (aOR) 1.40, 95% confidence interval (CI) 1.21-1.61] and worse all-cause mortality [adjusted hazard ratio (aHR) 1.41, 95% CI 1.08-1.83]. In dose-response analyses, patients in lower segregated neighborhoods (relative to the 95th percentile) had lower odds of high AL, whereas patients in more segregated neighborhoods had a non-linear increase in the odds of high AL.

DISCUSSION

Racialized economic segregation is associated with high AL and a greater risk of all-cause mortality in patients with breast cancer. Additional studies are needed to elucidate the causal pathways and mechanisms linking AL, neighborhood factors, and patient outcomes.

The PhenX Toolkit: Recommended Measurement Protocols for Social Determinants of Health Research

Health disparities are driven by unequal conditions in the environments in which people are born, live, learn, work, play, worship, and age, commonly termed the Social Determinants of Health (SDoH). The availability of recommended measurement protocols for SDoH will enable investigators to consistently collect data for SDoH constructs. The PhenX (consensus measures for Phenotypes and eXposures) Toolkit is a web-based catalog of recommended measurement protocols for use in research studies with human participants. Using standard protocols from the PhenX Toolkit makes it easier to compare and combine studies, potentially increasing the impact of individual studies, and aids in comparability across literature. In 2018, the National Institute on Minority Health and Health Disparities provided support for an initial expert Working Group to identify and recommend established SDoH protocols for inclusion in the PhenX Toolkit. In 2022, a second expert Working Group was convened to build on the work of the first SDoH Working Group and address gaps in the SDoH Toolkit Collections. The SDoH Collections consist of a Core Collection and Individual and Structural Specialty Collections. This article describes a Basic Protocol for using the PhenX Toolkit to select and implement SDoH measurement protocols for use in research studies. © 2024 The Authors. Current Protocols published by Wiley Periodicals LLC. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA. Basic Protocol: Using the PhenX Toolkit to select and implement SDoH protocols.

Epigenetic aging & embodying injustice: US My Body My Story and Multi-Ethnic Atherosclerosis Study

Importance

Epigenetic accelerated aging is associated with exposure to social and economic adversity and may increase risk of premature morbidity and mortality. However, no studies have included measures of structural racism and few have compared estimates within or across the 1st and 2nd generation of epigenetic clocks (the latter additionally trained on phenotypic data).

Objective

To determine if accelerated epigenetic aging is associated with exposures to diverse measures of racialized, economic, and environmental injustice measured at different levels and time periods.

Design

Cross-sectional My Body My Story Study (MBMS; US, 2008-2010) and Exam 5 Multi-Ethnic Atherosclerosis Study (MESA; US, 2010-2012). MBMS DNA extraction: 2021; linkage of structural measures to MBMS and MESA: 2022.

Setting

MBMS recruited a random sample of US-born Black non-Hispanic (BNH) and white non-Hispanic (WNH) participants from 4 community health centers in Boston, MA. The MESA Exam 5 epigenetic component included 975 randomly selected US-born BNH, WNH, and Hispanic participants from four field sites: Baltimore, MD; Forsyth County, NC; New York City, NY; St. Paul, MN.

Participants

US-born persons (MBMS: 224 BNH, 69 WNH; MESA: 229 BNH, 555 WNH, 191 Hispanic).

Main outcome and measures

10 epigenetic clocks (six 1st generation; four 2nd generation), computed using DNA methylation data (DNAm) from blood spots (MBMS; N = 293) and purified monocytes (MESA; N = 975).

Results

Among Black non-Hispanic MBMS participants, epigenetic age acceleration was associated with being born in a Jim Crow state by 0.14 standard deviations (95% confidence interval [CI] 0.00, 0.27) and with birth state conservatism (0.06, 95% CI 0.00, 0.05), pooling across all clocks, as was low parental education for both Black non-Hispanic and white non-Hispanic MBMS participants (respectively: 0.24, 95% CI 0.08, 0.39, and 0.27, 95% CI 0.03, 0.51. Adult impoverishment was positively associated with the pooled 2nd generation clocks among the MESA participants (Black non-Hispanic: 0.06, 95% CI 0.01, 0.12; white non-Hispanic: 0.05, 95% CI 0.01, 0.08; Hispanic: 0.07, 95% CI 0.01, 0.14).

Conclusions and Relevance

Epigenetic accelerated aging may be one of the biological mechanisms linking exposure to racialized and economic injustice to well-documented inequities in premature morbidity and mortality.

Impact of Community Privilege on Access to Care Among Patients Following Complex Cancer Surgery

OBJECTIVE

We sought to define the impact of community privilege on variations in travel patterns and access to care at high-volume hospitals for complex surgical procedures.

BACKGROUND

With increased emphasis on centralization of high-risk surgery, social determinants of health play a critical role in preventing equitable access to care. Privilege is a right, benefit, advantage, or opportunity that positively impacts all social determinants of health.

METHODS

The California Office of State-wide Health Planning Database identified patients who underwent esophagectomy (ES), pneumonectomy (PN), pancreatectomy (PA), or proctectomy (PR) for a malignant diagnosis between 2012 and 2016 and was merged using ZIP codes with the Index of Concentration of Extremes, a validated metric of both spatial polarization and privilege obtained from the American Community Survey. Clustered multivariable regression was performed to assess the probability of undergoing care at a high-volume center, bypassing the nearest and high-volume center, and total real driving time and travel distance.

RESULTS

Among 25,070 patients who underwent a complex oncologic operation (ES: n=1216, 4.9%; PN: n=13,247, 52.8%; PD: n=3559, 14.2%; PR: n=7048, 28.1%), 5019 (20.0%) individuals resided in areas with the highest privilege (i.e., White, high-income homogeneity), whereas 4994 (19.9%) individuals resided in areas of the lowest privilege (i.e., Black, low-income homogeneity). Median travel distance was 33.1 miles (interquartile range 14.4-72.2). Roughly, three-quarters of patients (overall: 74.8%, ES: 35.0%; PN: 74.3%; PD: 75.2%; PR: 82.2%) sought surgical care at a high-volume center. On multivariable regression, patients residing in the least advantaged communities were less likely to undergo surgery at a high-volume hospital (overall: odds ratio 0.65, 95% CI 0.52-0.81). Of note, individuals in the least privileged areas had longer travel distances (28.5 miles, 95% CI 21.2-35.8) to reach the destination facility, as well as over 70% greater odds of bypassing a high-volume hospital to undergo surgical care at a low-volume center (odds ratio 1.74, 95% CI 1.29-2.34) versus individuals living in the highest privileged areas.

CONCLUSIONS AND RELEVANCE

Privilege had a marked effect on access to complex oncologic surgical care at high-volume centers. These data highlight the need to focus on privilege as a key social determinant of health that influences patient access to and utilization of health care resources.

Community-level determinants of stakeholder perceptions of community stigma toward people with opioid use disorders, harm reduction services and treatment in the HEALing Communities Study

BACKGROUND

Community stigma toward people with opioid use disorder (OUD) can impede access to harm reduction services and treatment with medications for opioid use disorder (MOUD). Such community OUD stigma is partially rooted in community-level social and economic conditions, yet there remains a paucity of large-scale quantitative data examining community-level factors associated with OUD stigma. We examined whether rurality, social inequity, and racialized segregation across communities from four states in the HEALing Communities Study (HCS) were associated with 1) greater perceived community stigma toward people treated for OUD, 2) greater perceived intervention stigma toward MOUD, and 3) greater perceived intervention stigma toward naloxone by community stakeholders in the HCS.

METHODS

From November 2019-January 2020, a cross-sectional survey about community OUD stigma was administered to 801 members of opioid overdose prevention coalitions across 66 communities in four states prior to the start of HCS intervention activities. Bivariate analyses assessed pairwise associations between community rural/urban status and each of the three stigma variables, using linear mixed effect modeling to account for response clustering within communities, state, and respondent sociodemographic characteristics. We conducted similar bivariate analyses to assess pairwise associations between racialized segregation and social inequity.

RESULTS

On average, the perceived community OUD stigma scale score of stakeholders from rural communities was 4% higher (β=1.57, SE=0.7, p≤0.05), stigma toward MOUD was 6% higher (β=0.28, SE=0.1, p≤0.05), and stigma toward naloxone was 10% higher (β=0.46, SE=0.1, p≤0.01) than among stakeholders from urban communities. No significant differences in the three stigma variables were found among communities based on racialized segregation or social inequity.

CONCLUSION

Perceived community stigma toward people treated for OUD, MOUD, and naloxone was higher among stakeholders in rural communities than in urban communities. Findings suggest that interventions and policies to reduce community-level stigma, particularly in rural areas, are warranted.

Human mobility networks reveal increased segregation in large cities

A long-standing expectation is that large, dense and cosmopolitan areas support socioeconomic mixing and exposure among diverse individuals1-6. Assessing this hypothesis has been difficult because previous measures of socioeconomic mixing have relied on static residential housing data rather than real-life exposures among people at work, in places of leisure and in home neighbourhoods7,8. Here we develop a measure of exposure segregation that captures the socioeconomic diversity of these everyday encounters. Using mobile phone mobility data to represent 1.6 billion real-world exposures among 9.6 million people in the United States, we measure exposure segregation across 382 metropolitan statistical areas (MSAs) and 2,829 counties. We find that exposure segregation is 67% higher in the ten largest MSAs than in small MSAs with fewer than 100,000 residents. This means that, contrary to expectations, residents of large cosmopolitan areas have less exposure to a socioeconomically diverse range of individuals. Second, we find that the increased socioeconomic segregation in large cities arises because they offer a greater choice of differentiated spaces targeted to specific socioeconomic groups. Third, we find that this segregation-increasing effect is countered when a city's hubs (such as shopping centres) are positioned to bridge diverse neighbourhoods and therefore attract people of all socioeconomic statuses. Our findings challenge a long-standing conjecture in human geography and highlight how urban design can both prevent and facilitate encounters among diverse individuals.

Residential Structural Racism and Prevalence of Chronic Health Conditions

Importance

Studies elucidating determinants of residential neighborhood-level health inequities are needed.

Objective

To quantify associations of structural racism indicators with neighborhood prevalence of chronic kidney disease (CKD), diabetes, and hypertension.

Design, Setting, and Participants

This cross-sectional study used public data (2012-2018) and deidentified electronic health records (2017-2018) to describe the burden of structural racism and the prevalence of CKD, diabetes, and hypertension in 150 residential neighborhoods in Durham County, North Carolina, from US census block groups and quantified their associations using bayesian models accounting for spatial correlations and residents' age. Data were analyzed from January 2021 to May 2023.

Exposures

Global (neighborhood percentage of White residents, economic-racial segregation, and area deprivation) and discrete (neighborhood child care centers, bus stops, tree cover, reported violent crime, impervious areas, evictions, election participation, income, poverty, education, unemployment, health insurance coverage, and police shootings) indicators of structural racism.

Main Outcomes and Measures

Outcomes of interest were neighborhood prevalence of CKD, diabetes, and hypertension.

Results

A total of 150 neighborhoods with a median (IQR) of 1708 (1109-2489) residents; median (IQR) of 2% (0%-6%) Asian residents, 30% (16%-56%) Black residents, 10% (4%-20%) Hispanic or Latino residents, 0% (0%-1%) Indigenous residents, and 44% (18%-70%) White residents; and median (IQR) residential income of $54 531 ($37 729.25-$78 895.25) were included in analyses. In models evaluating global indicators, greater burden of structural racism was associated with greater prevalence of CKD, diabetes, and hypertension (eg, per 1-SD decrease in neighborhood White population percentage: CKD prevalence ratio [PR], 1.27; 95% highest density interval [HDI], 1.18-1.35; diabetes PR, 1.43; 95% HDI, 1.37-1.52; hypertension PR, 1.19; 95% HDI, 1.14-1.25). Similarly in models evaluating discrete indicators, greater burden of structural racism was associated with greater neighborhood prevalence of CKD, diabetes, and hypertension (eg, per 1-SD increase in reported violent crime: CKD PR, 1.15; 95% HDI, 1.07-1.23; diabetes PR, 1.20; 95% HDI, 1.13-1.28; hypertension PR, 1.08; 95% HDI, 1.02-1.14).

Conclusions and Relevance

This cross-sectional study found several global and discrete structural racism indicators associated with increased prevalence of health conditions in residential neighborhoods. Although inferences from this cross-sectional and ecological study warrant caution, they may help guide the development of future community health interventions.

Structural racism and health: Assessing the mediating role of community mental distress and health care access in the association between mass incarceration and adverse birth outcomes

Research has linked spatial concentrations of incarceration with racial disparities in adverse birth outcomes. However, little is known about the specific mechanisms of this association. This represents an important knowledge gap in terms of intervention. We theorize two pathways that may account for the association between county-level prison rates and adverse birth outcomes: (1) community-level mental distress and (2) reduced health care access. Examining these mechanisms, we conducted a cross-sectional study of county-level prison rates, community-level mental distress, health insurance, availability of primary care physicians (PCP) and mental health providers (MHP), and adverse birth outcomes (preterm birth, low birth weight, infant mortality). Our data set included 475 counties and represented 2,677,840 live U.S. births in 2016. Main analyses involved between 170 and 326 counties. All data came from publicly available sources, including the U.S. Census and the Centers for Disease Control and Prevention. Descriptive and regression results confirmed the link between prison rates and adverse birth outcomes and highlighted Black-White inequities in this association. Further, bootstrap mediation analyses indicated that the impact of spatially concentrated prison rates on preterm birth was mediated by PCP, MHP, community-level mental distress, and health insurance in both crude and adjusted models. Community-level mental distress and health insurance (but not PCP or MHP) similarly mediated low birthweight in both models. Mediators were less stable in the effect on infant mortality with only MHP mediating consistently across models. We conclude that mass incarceration, health care access, and community mental distress represent actionable and urgent targets for structural-, community-, and individual-level interventions targeting population inequities in birth outcomes.

Tobacco and Alcohol Retailer Availability and Neighborhood Racialized, Economic, and Racialized Economic Segregation in North Carolina

BACKGROUND

Despite evidence of racialized and socioeconomic inequities in tobacco and alcohol outlet availability, few studies have investigated spatial inequities in areas experiencing both concentrated residential racialized segregation and socioeconomic disadvantage. This study examined whether segregation-racialized, economic or both-was associated with alcohol and tobacco retailer counts in North Carolina (NC).

METHODS

The NC Alcoholic Beverage Control Commission provided lists of 2021 off-premise alcohol retailers. We created a list of 2018 probable tobacco retailers using ReferenceUSA. We calculated three census tract-level measures of the Index of Concentrations at the Extremes (ICE), indicating racialized segregation between non-Hispanic White and Black residents and economic segregation based on household income. We used negative binomial regression to test associations between quintiles of each ICE measure and tobacco and, separately, alcohol retailer counts.

RESULTS

Tracts with the greatest racialized disadvantage had 38% (IRR, 1.38; 95% CI, 1.15-1.66) and 65% (IRR, 1.65; 95% CI, 1.34-2.04) more tobacco and alcohol outlets, respectively, as tracts with the lowest. Tracts with the highest racialized economic disadvantage had a predicted count of 1.51 tobacco outlets per 1000 people while those in the lowest had nearly one fewer predicted outlet. Similar inequities existed in the predicted count of alcohol outlets.

DISCUSSION

Tobacco and alcohol outlet availability are higher in NC places experiencing concentrated racialized and economic segregation. A centralized agency overseeing tobacco and alcohol outlet permits and strategies to reduce the retail availability of these harmful products (e.g., capping the number of permits) are needed to intervene upon these inequities.

Association of maternal education, neighborhood deprivation, and racial segregation with gestational age at birth by maternal race/ethnicity and United States Census region in the ECHO cohorts

Background

In the United States, disparities in gestational age at birth by maternal race, ethnicity, and geography are theorized to be related, in part, to differences in individual- and neighborhood-level socioeconomic status (SES). Yet, few studies have examined their combined effects or whether associations vary by maternal race and ethnicity and United States Census region.

Methods

We assembled data from 34 cohorts in the Environmental influences on Child Health Outcomes (ECHO) program representing 10,304 participants who delivered a liveborn, singleton infant from 2000 through 2019. We investigated the combined associations of maternal education level, neighborhood deprivation index (NDI), and Index of Concentration at the Extremes for racial residential segregation (ICERace) on gestational weeks at birth using linear regression and on gestational age at birth categories (preterm, early term, post-late term relative to full term) using multinomial logistic regression.

Results

After adjustment for NDI and ICERace, gestational weeks at birth was significantly lower among those with a high school diploma or less (-0.31 weeks, 95% CI: -0.44, -0.18), and some college (-0.30 weeks, 95% CI: -0.42, -0.18) relative to a master's degree or higher. Those with a high school diploma or less also had an increased odds of preterm (aOR 1.59, 95% CI: 1.20, 2.10) and early term birth (aOR 1.26, 95% CI: 1.05, 1.51). In adjusted models, NDI quartile and ICERace quartile were not associated with gestational weeks at birth. However, higher NDI quartile (most deprived) associated with an increased odds of early term and late term birth, and lower ICERace quartile (least racially privileged) associated with a decreased odds of late or post-term birth. When stratifying by region, gestational weeks at birth was lower among those with a high school education or less and some college only among those living in the Northeast or Midwest. When stratifying by race and ethnicity, gestational weeks at birth was lower among those with a high school education or less only for the non-Hispanic White category.

Conclusion

In this study, maternal education was consistently associated with shorter duration of pregnancy and increased odds of preterm birth, including in models adjusted for NDI and ICERace.

Association Between Markers of Structural Racism and Mass Shooting Events in Major US Cities

Importance

The root cause of mass shooting events (MSEs) and the populations most affected by them are poorly understood.

Objective

To examine the association between structural racism and mass shootings in major metropolitan cities in the United States.

Design, Setting, and Participants

This cross-sectional study of MSEs in the 51 largest metropolitan statistical areas (MSAs) in the United States analyzes population-based data from 2015 to 2019 and the Gun Violence Archive. The data analysis was performed from February 2021 to January 2022.

Exposure

Shooting event where 4 or more people not including the shooter were injured or killed.

Main Outcome and Measures

MSE incidence and markers of structural racism from demographic data, Gini income coefficient, Black-White segregation index, and violent crime rate.

Results

There were 865 MSEs across all 51 MSAs from 2015 to 2019 with a total of 3968 injuries and 828 fatalities. Higher segregation index (ρ = 0.46, P = .003) was associated with MSE incidence (adjusted per 100 000 population) using Spearman ρ analysis. Percentage of the MSA population comprising Black individuals (ρ = 0.76, P < .001), children in a single-parent household (ρ = 0.44, P < .001), and violent crime rate (ρ = 0.34, P = .03) were other variables associated with MSEs. On linear regression, structural racism, as measured by percentage of the MSA population comprising Black individuals, was associated with MSEs (β = 0.10; 95% CI, 0.05 to 0.14; P < .001). Segregation index (β = 0.02, 95% CI, -0.03 to 0.06; P = .53), children in a single-parent household (β = -0.04, 95% CI, -0.11 to 0.04; P = .28), and Gini income coefficient (β = -1.02; 95% CI, -11.97 to 9.93; P = .93) were not associated with MSEs on linear regression.

Conclusions and Relevance

This study found that major US cities with higher populations of Black individuals are more likely to be affected by MSEs, suggesting that structural racism may have a role in their incidence. Public health initiatives aiming to prevent MSEs should target factors associated with structural racism to address gun violence.

Tools to Measure the Impact of Structural Racism and Discrimination on Gastrointestinal and Hepatology Disease Outcomes: A Scoping Review

BACKGROUND & AIMS

Structural racism and discrimination (SRD) are important upstream determinants of health perpetuated by discriminatory laws and policies. Therefore, measuring SRD and its impact on health is critical to developing interventions that address resultant health disparities. We aimed to identify gastrointestinal (GI) or liver studies that report measures of SRD or interventions to achieve health equity in these domains by addressing upstream determinants of health.

METHODS

We conducted a scoping review according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses scoping reviews guidelines. Studies that used an SRD measure or examined an upstream intervention in GI or liver disease were included. Studies that described health disparities in GI or liver conditions without mentioning SRD were excluded. Study characteristics, findings, and limitations were extracted.

RESULTS

Forty-six articles (19 studies using SRD measures and 27 studies of upstream interventions) were identified. Measures of residential racial segregation were reported most frequently. SRD was associated with poorer health outcomes for racial and ethnic minority populations. Although upstream intervention studies focused primarily on policies related to colon cancer screening and organ graft allocation, racial and ethnic disparities often persisted post-intervention.

CONCLUSIONS

To achieve health equity in GI and liver conditions, there is an urgent need for research that goes beyond describing health disparities to incorporating measures of SRD and implementing interventions that address this understudied determinant of health.

The associations of income and Black-White racial segregation with HIV outcomes among adults aged ≥18 years-United States and Puerto Rico, 2019

OBJECTIVE(S)

To examine associations between Index of Concentration at the Extremes (ICE) measures for economic and racial segregation and HIV outcomes in the United States (U.S.) and Puerto Rico.

METHODS

County-level HIV testing data from CDC's National HIV Prevention Program Monitoring and Evaluation and census tract-level HIV diagnoses, linkage to HIV medical care, and viral suppression data from the National HIV Surveillance System were used. Three ICE measures of spatial polarization were obtained from the U.S. Census Bureau's American Community Survey: ICEincome (income segregation), ICErace (Black-White racial segregation), and ICEincome+race (Black-White racialized economic segregation). Rate ratios (RRs) for HIV diagnoses and prevalence ratios (PRs) for HIV testing, linkage to care within 1 month of diagnosis, and viral suppression within 6 months of diagnosis were estimated with 95% confidence intervals (CIs) to examine changes across ICE quintiles using the most privileged communities (Quintile 5, Q5) as the reference group.

RESULTS

PRs and RRs showed a higher likelihood of testing and adverse HIV outcomes among persons residing in Q1 (least privileged) communities compared with Q5 (most privileged) across ICE measures. For HIV testing percentages and diagnosis rates, across quintiles, PRs and RRs were consistently greatest for ICErace. For linkage to care and viral suppression, PRs were consistently lower for ICEincome+race.

CONCLUSIONS

We found that poor HIV outcomes and disparities were associated with income, racial, and economic segregation as measured by ICE. These ICE measures contribute to poor HIV outcomes and disparities by unfairly concentrating certain groups (i.e., Black persons) in highly segregated and deprived communities that experience a lack of access to quality, affordable health care. Expanded efforts are needed to address the social/economic barriers that impede access to HIV care among Black persons. Increased partnerships between government agencies and the private sector are needed to change policies that promote and sustain racial and income segregation.

Structural Racism and Adolescent Mental Health Disparities in Northern California

Importance

Understanding how structural racism is associated with adolescent mental health is critical to advance health equity.

Objective

To assess associations between neighborhood privilege, measured by the Index of Concentration at the Extremes (ICE) and adolescent depressive symptoms, suicidality, and related racial and ethnic disparities.

Design, Setting, and Participants

This was a retrospective cohort study using electronic health records of adolescents aged 12 to 16 years who attended well-teen visits between 2017 and 2021. Kaiser Permanente Northern California is an integrated health care delivery system serving 4.6 million members. The cohort included 34 252 individuals born singleton at an affiliated facility from January 1, 2005, to December 31, 2009, and who had completed at least 1 mental health screener during a well-teen visit by November 23, 2021.

Exposures

American Community Survey 2016 to 2021 5-year estimates were used to calculate ICE scores for adolescents' residential census tract at ages 10 to 11. Three ICE measures were used as proxies of structural racism: racial privilege (ICE-race and ethnicity; hereinafter ICE-race), economic privilege (ICE-income), and combined economic and racial privilege (ICE-income plus race and ethnicity; herinafter ICE-income plus race). ICE scores were categorized into quintiles based on California statewide distributions.

Main Outcomes and Measures

Depressive symptoms and suicidality were assessed through self-report screeners during well-teen visits. Depressive symptoms were considered to be present if patients had a score on the Patient Health Questionnaire-2 of 3 or higher (the tool uses a Likert scale to determine the frequency [0 = not at all; 3 = nearly every day] that they had depressed mood and lack of pleasure in usual activities in the past 2 weeks; responses were summed and dichotomized).

Results

Analyses included 34 252 adolescents (12-16 years of age; mean [SD] age, 13.7 [0.8] years; 17 557 [51.3%] male, 7284 [21.3%] Asian or Pacific Islander, 2587 [7.6%] Black], 9061 [26.5%] Hispanic, 75 [0.2%] American Indian or Indigenous, 12 176 [35.5%] White, and 3069 [9%] other or unknown). Risks of depressive symptoms and suicidality generally increased with each level of declining neighborhood privilege. Adjusted risk ratios comparing adolescents from neighborhoods with the least to most racial and economic privilege were 1.37 (95% CI, 1.20-1.55) for depressive symptoms and 1.59 (95% CI, 1.23-2.05) for suicidality. Racial disparities between Black and White youth and Hispanic and White youth decreased after adjusting for each ICE measure, and became nonsignificant in models adjusting for ICE-race and ICE-income plus race.

Conclusions and Relevance

In this cohort study, lower neighborhood privilege was associated with greater risks of adolescent depressive symptoms and suicidality. Furthermore, adjusting for neighborhood privilege reduced mental health disparities affecting Black and Hispanic adolescents. These findings suggest that efforts to promote equity in adolescent mental health should extend beyond the clinical setting and consider the inequitable neighborhood contexts that are shaped by structural racism.

Assessing racial residential segregation as a risk factor for severe maternal morbidity

PURPOSE

To measure associations of area-level racial and economic residential segregation with severe maternal morbidity (SMM).

METHODS

We conducted a retrospective cohort study of births at two Philadelphia hospitals between 2018 and 2020 to analyze associations of segregation, quantified using the Index of Concentration at the Extremes (ICE), with SMM. We used stratified multivariable, multilevel, logistic regression models to determine whether associations of ICE with SMM varied by self-identified race or hospital catchment.

RESULTS

Of the 25,979 patients (44.1% Black, 35.8% White), 1381 (5.3%) had SMM (Black [6.1%], White [4.4%]). SMM was higher among patients residing outside (6.3%), than inside (5.0%) Philadelphia (P < .001). Overall, ICE was not associated with SMM. However, ICErace (higher proportion of White vs. Black households) was associated with lower odds of SMM among patients residing inside Philadelphia (aOR 0.87, 95% CI: 0.80-0.94) and higher odds outside Philadelphia (aOR 1.12, 95% CI: 0.95-1.31). Moran's I indicated spatial autocorrelation of SMM overall (P < .001); when stratified, autocorrelation was only evident outside Philadelphia.

CONCLUSIONS

Overall, ICE was not associated with SMM. However, higher ICErace was associated with lower odds of SMM among Philadelphia residents. Findings highlight the importance of hospital catchment area and referral patterns in spatial analyses of hospital datasets.

Advancing positive social determinants of health through collective impact and the 100% New Mexico Model

BACKGROUND

Communities across the U.S. and globally confront the challenge of transforming negative social determinants of health (SDOH) into positive ones. To address this complex social problem, the collective impact (CI) approach has promise but has been critiqued for insufficiently challenging structural inequities. Research applying CI to SDOH is limited. This mixed-methods study examined early adoption of CI in the 100% New Mexico initiative that aims to address SDOH population-wide in a state with strong cultural identity and assets but also persistent socio-economic inequality.

METHODS

A web-based survey, interviews and focus groups were conducted with initiative participants in June and July 2021. Survey participants rated agreement on a 4-point scale with six items assessing CI foundation adapted from the Collective Impact Community Assessment Scale. Interviews and focus groups centered on motivation to engage, progress achieved in model components, CI core conditions, and contextual factors influencing experiences. Surveys were analyzed using descriptive means and proportions. Qualitative data were analyzed using thematic analysis and an inductive approach followed by stratified analyses and co-interpretation of emergent findings with model developers.

RESULTS

Fifty-eight participants completed the survey, and 21 individuals participated in interviews (n = 12) and two focus groups (n = 9). Survey mean scores were highest related to initiative buy-in and commitment, and lower related to shared ownership, having multiple perspectives and voices involved, and adequate resources. Qualitative results showed that the framework's cross-sector emphasis helped motivate participation. Participants embraced the focus on leveraging existing community assets that is characteristic of CI and the current framework. Counties implemented effective engagement and visibility strategies including mural projects and book clubs. Participants expressed communication challenges across county sector teams which influenced feelings of accountability and ownership. Participants did not report challenges lacking relevant, available, and timely data or tension between funder-driven and community-driven desired outcomes, in contrast with previous CI research.

CONCLUSION

Multiple foundational conditions of CI were supported in 100% New Mexico, including evidence for support of the common agenda addressing SDOH, shared measurement framework, and mutually reinforcing activities. Study results suggest that efforts to launch CI to address SDOH, which is by nature multi-sector, should include robust strategies to address communication needs of local teams. The use of community-administered surveys to identify gaps in SDOH resource access contributed to ownership and a sense of collective efficacy that may portend sustainability; however, relying on volunteers in the absence of other resources extensively also threatens sustainability.

Racialized economic segregation and potentially preventable hospitalizations among Medicaid/CHIP-enrolled children

OBJECTIVE

To examine geographic variation in preventable hospitalizations among Medicaid/CHIP-enrolled children and to test the association between preventable hospitalizations and a novel measure of racialized economic segregation, which captures residential segregation within ZIP codes based on race and income simultaneously.

DATA SOURCES

We supplement claims and enrollment data from the Transformed Medicaid Statistical Information System (T-MSIS) representing over 12 million Medicaid/CHIP enrollees in 24 states with data from the Public Health Disparities Geocoding Project measuring racialized economic segregation.

STUDY DESIGN

We measure preventable hospitalizations by ZIP code among children. We use logistic regression to estimate the association between ZIP code-level measures of racialized economic segregation and preventable hospitalizations, controlling for sex, age, rurality, eligibility group, managed care plan type, and state.

DATA EXTRACTION METHODS

We include children ages 0-17 continuously enrolled in Medicaid/CHIP throughout 2018. We use validated algorithms to identify preventable hospitalizations, which account for characteristics of the pediatric population and exclude children with certain underlying conditions.

PRINCIPAL FINDINGS

Preventable hospitalizations vary substantially across ZIP codes, and a quarter of ZIP codes have rates exceeding 150 hospitalizations per 100,000 Medicaid-enrolled children per year. Preventable hospitalization rates vary significantly by level of racialized economic segregation: children living in the ZIP codes that have the highest concentration of low-income, non-Hispanic Black residents have adjusted rates of 181 per 100,000 children, compared to 110 per 100,000 for children in ZIP codes that have the highest concentration of high-income, non-Hispanic white residents (p < 0.01). This pattern is driven by asthma-related preventable hospitalizations.

CONCLUSIONS

Medicaid-enrolled children's risk of preventable hospitalizations depends on where they live, and children in economically and racially segregated neighborhoods-specifically those with higher concentrations of low-income, non-Hispanic Black residents-are at particularly high risk. It will be important to identify and implement Medicaid/CHIP and other policies that increase access to high-quality preventive care and that address structural drivers of children's health inequities.

Neighborhood Racial and Economic Privilege and Timing of Pubertal Onset in Girls

PURPOSE

Early puberty is associated with adverse health outcomes over the life course, and Black and Hispanic girls experience puberty earlier than girls of other racial/ethnic backgrounds. Neighborhood racial and economic privilege may contribute to these disparities by conferring differential exposure to mechanisms (e.g., stress, obesity, endocrine disruptors) underlying early puberty. We examined associations between neighborhood privilege, measured by the Index of Concentration at the Extremes (ICE), and age at pubic hair onset (pubarche) and breast development onset (thelarche) in a large multiethnic cohort.

METHODS

A cohort of 46,299 girls born 2005-2011 at Kaiser Permanente Northern California medical facilities were followed until 2021. Pubertal development was assessed routinely by pediatricians using the Sexual Maturity Rating scale. ICE quintiles for race/ethnicity, income, and income + race/ethnicity were calculated using American Community Survey 2010 5-year estimates and linked to census tract at birth. We fit multilevel Weibull regression models accommodating left, right, and interval censoring for all analyses.

RESULTS

ICE measures were monotonically associated with pubertal onset, with the strongest associations observed for ICE-race/ethnicity. Adjusting for maternal education, age at delivery, and parity, girls from the least versus most privileged ICE-race/ethnicity quintiles were at increased risk for earlier pubarche (hazard ratio: 1.30, 95% confidence interval: 1.21, 1.38) and thelarche (hazard ratio: 1.45, 95% confidence interval: 1.36, 1.54). These associations remained significant after adjusting for girls' race/ethnicity and childhood body mass index. Additionally, adjustment for ICE partially attenuated Black-White and Hispanic-White disparities in pubertal onset.

DISCUSSION

Neighborhood privilege may contribute to pubertal timing and related disparities.

Disparities in cancer care-A call to action

Disparities in cancer care disproportionately impact minority groups, members of which face challenges in accessing high-quality cancer care, remain underrepresented in clinical trials, and experience significant financial toxicity and discrimination during their cancer journey. Diversifying our workforce, improving access to trials, and allocating research funding for equitable initiatives should be prioritized.

Association of Residential Racial and Economic Segregation With Cancer Mortality in the US

Importance

Residential segregation is a structural risk factor for poor cancer outcomes. Previous research examining the association of residential segregation with cancer outcomes was limited by older data, restricted geographic areas, and few cancer sites. To guide targeted interventions, a comprehensive evaluation of the association between segregation and cancer outcomes is needed.

Objective

To examine the association of residential racial and economic segregation with cancer mortality at the US county level for all cancers combined and for the 13 cancer types that represent the top 10 causes of cancer deaths in males or females.

Design, Setting, and Participants

This ecological study used county-level sociodemographic data from the 2015-2019 American Community Survey linked with 2015-2019 county-level mortality data. Data analysis was performed from September 2021 to April 2022.

Exposures

Residential racial and economic segregation measured by the Index of Concentration at the Extremes (ICE) and categorized into quintiles 1 (most deprived) through 5 (most privileged).

Main Outcomes and Measures

Age-adjusted cancer mortality was the outcome. Multilevel linear mixed modeling was used to calculate the adjusted mortality rate ratio (aRR).

Results

A total of 3110 counties were included. The age-adjusted mortality rates of all cancers combined were 179.8, 177.3, 167.6, 159.6, and 146.1 per 100 000 population (P < .001 for trend) for the 5 ICE categories (most deprived to least deprived), respectively. Compared with the least deprived counties, aRRs for all cancers combined were 1.22 (95% CI, 1.20-1.24) for the most deprived counties, followed by 1.17 (95% CI, 1.15-1.19), 1.10 (95% CI, 1.09-1.12), and 1.06 (95% CI, 1.04-1.08) for the other 3 quintiles, respectively (P < .001 for trend). Segregation was associated with increased mortality from 12 of 13 selected cancer sites, in which aRRs ranged from 1.06 (95% CI, 1.02-1.09) for brain and other nervous system cancer to 1.49 (95% CI, 1.43-1.54) for lung and bronchus cancer.

Conclusions and Relevance

The findings of this ecological study suggest that residential racial and economic segregation is associated with higher cancer mortality at the county level, highlighting opportunities for geographically targeted cancer prevention and control efforts.

Risk Perception and Health Precautions Towards COVID-19 Among Older Culturally and Linguistically Diverse Adults in South Australia: A Cross-Sectional Survey

Background

Risk perceptions and precaution-taking against COVID-19 are affected by individuals’ health status, psychosocial vulnerabilities and cultural dimensions. This cross-sectional study investigates risk perceptions associated with COVID-19 and specifically the problem- and emotion-focused health precautions of older, culturally and linguistically diverse (CALD) South Australians.

Methods

Cross-sectional research involving self-administration of an online survey. Participants were CALD adults living in South Australia, aged 60 years and above (n = 155). Multi-indicator surveys were analyzed using Stata/MP version 13.0 and multiple linear regression models fitted to examine associations between risk perceptions and problem- and emotion-focused health precautions.

Results

Dread risk returned the highest mean score; COVID-19 was perceived as a catastrophe. Mean scores for fear showed that participants were worried about COVID-19 and scared of becoming infected. Participants followed health advice as they were worried [β 0.15; 95% CI 0.07, 0.23] and realized the effect of COVID-19 on them [β 0.15; 95% CI 0.02, 0.28], or worried and had trust in experts’ knowledge and managing capacity [β 0.17; 95% CI 0.06, 0.28]. Age was negatively associated with sum-score of problem-focused coping: compared to participants aged 60–69 years, 80+ years revealed a decrease in problem-focused health precautions. Variables like education (primary schooling [β 2.80; 95% CI 0.05, 5.55] and bachelor degree [β 3.16; 95% CI 0.07, 6.25] versus no formal education), self-confidence in reducing risk, and fear [β 0.84; 95% CI 0.31, 1.36] significantly affected emotional-focused health precautions.

Conclusion

This local study has global implications. It showed that COVID-19 has psychosocial and environmental implications for older CALD adults. When many CALD populations have existing vulnerabilities to intersecting disadvantage, cultural-tailoring of interventions and pandemic response plans may buffer the effects of compounding disaster. Larger studies are needed to compare risk perception and health response patterns across countries and cultural groupings.