Incorporating Measures of Structural Racism into Population Studies of Reproductive Health in the United States: A Narrative Review

Pathways to maternal health inequities: Structural racism, sleep, and physiological stress

Racial inequities in health are vast and well-documented, particularly regarding maternal and infant health. Sleep health, including but not limited to duration and quality, is central to overall health and well-being. However, research has not adequately addressed how racism embedded in structures and systems, in addition to individual experiences, may affect maternal health by impacting sleep. In this critical review, we aim to 1) synthesize findings, emphasizing collaborative studies within our group, 2) highlight gaps in knowledge, and 3) propose a theoretical framework and methodological approach for moving the field forward. Specifically, we focus on findings and future directions linking perinatal sleep, cardiovascular and immune function, and racial disparities in maternal health. Because too few studies look beyond individual-level determinants of sleep deficiencies among Black Americans, we assert a critical need for research that bridges multiple levels of analysis (e.g., individual, community, society) and provides recommendations for specific health parameters that researchers in this area can target. Although the need to understand and address perinatal health disparities is clear, the goal of identifying multilevel mechanisms underlying how racism in one's environment and daily life may interact to affect health extends far beyond pregnancy research.

Mass Incarceration, Maternal Vulnerability, and Birth Outcomes Across U.S. Counties

OBJECTIVES

To examine the associations among mass incarceration, maternal vulnerability, and disparities in birth outcomes across U.S. counties, utilizing an ecological model and reproductive justice perspective was used. This study tests whether mass incarceration is associated with infant mortality and low birthweight across U.S. counties, and whether maternal vulnerability explains the relationship between mass incarceration and birth disparities.

METHODS

Data were derived from a variety of public sources and were merged using federal FIPS codes. Outcomes from the CDC Vitality Statistics include percent low birth weight births (births below 2499 g divided by singleton births to women aged 20 to 39) and infant mortality (infant deaths per 1000 live births). Black-White rate ratios were calculated for the birth outcomes to specifically examine the large Black-White disparity in birth outcomes. The analysis controlled for urbanicity, income inequality, median household income, residential segregation, and southern region, as well as a fixed effect for state level differences.

RESULTS

Findings show that counties with higher rates of incarceration have higher prevalence of infant mortality and low birthweight, as well as greater Black-White disparity in infant mortality. Mass incarceration is associated with increases in adverse birth outcomes and maternal vulnerability partially mediates this relationship.

CONCLUSIONS

Findings provide evidence that heightened levels of incarceration affect birth outcomes for all residents at the county-level. It is imperative to address the overuse of mass incarceration in order to support adequate reproductive healthcare of vulnerable populations in the United States.

Systemic racism and Non-Hispanic Black to Non-Hispanic White disparities in infant mortality at the county level

OBJECTIVE

To use a novel measure of systemic racism to examine its relationship with Non-Hispanic Black (NHB) to Non-Hispanic White (NHW) racial disparities in infant mortality across U.S. counties.

STUDY DESIGN

In this cross-sectional study, a composite, multi-dimensional measure of systemic racism at the county level was developed using confirmatory factor analysis based on indicators across five dimensions of systemic racism. Using linear regression analysis, we examined the relationship between the systemic racism factor scores and the NHB to NHW racial disparities in county-level infant mortality rates. Additionally, we performed a multi-level analysis of infant mortality, with births nested within counties by running a random intercept model that controlled for factors at both the individual and county levels to take into account the clustered nature of the data.

RESULTS

There were 325 counties that met inclusion criteria for the county level analysis and 1181 counties for the individual level analysis. Each one standard deviation increase in the Systemic Racism Index was associated with an increase of 10.4% in the Non-Hispanic Black to Non-Hispanic White infant mortality rate ratio at the county level (aOR 1.104, 95% CI [1.061-1.148]). After controlling for individual level clinical factors and county level factors, each one standard deviation increase in the systemic racism index score was associated with a decrease of 3.5% in the NHW infant mortality rate (aOR 0.965, 95% CI [0.943-0.988]).

CONCLUSION

Systemic racism is significantly associated with differences between counties in the magnitude of their Non-Hispanic Black to Non-Hispanic White racial disparities in infant mortality rates.

Structural heteropatriarchy and maternal cardiovascular morbidities

The United States has some of the poorest maternal health outcomes of any developed nation. Existing research on maternal cardiovascular morbidities has focused predominantly on individual- and clinic-level drivers, but we know little about community- and structural-level factors that shape these outcomes. We use a composite measure of "structural heteropatriarchy" which includes measures of structural sexism and structural LGB-stigma to examine the relationship between structural heteropatriarchy and three cardiovascular-related maternal morbidities using the National Longitudinal Study of Adolescent to Adult Health (n = 3928). Results using multivariate regressions show that structural heteropatriarchy is associated with increased risk of reporting maternal morbidities. Our findings provide further evidence that sexuality- and gender-based stigma operate together to shape health disparities, including maternal health.

Buprenorphine Receipt and Retention for Opioid Use Disorder Following an Initiative to Increase Access in Primary Care

OBJECTIVES

Buprenorphine, a medication for opioid use disorder (OUD), is underutilized in general medical settings. Further, it is inequitably received by racialized groups and persons with comorbidities. The Veterans Health Administration launched an initiative to increase buprenorphine receipt in primary care. The project's objective was to identify patient-related factors associated with buprenorphine receipt and retention in primary care clinics (n = 18) participating in the initiative.

METHODS

Retrospective cohort quality improvement evaluation of patients 18 years or older with 2 or more primary care visits in a 1-year period and an OUD diagnosis in the year before the first primary care visit (index date). Buprenorphine receipt was the proportion of patients with OUD who received 1 or more buprenorphine prescriptions from primary care providers during the post-index year and retention the proportion who received buprenorphine for 180 days or longer.

RESULTS

Of 2880 patients with OUD seen in primary care, 11.7% (95% confidence interval [CI], 10.6%-12.9%) received buprenorphine in primary care, 58.2% (95% CI, 52.8%-63.3%) of whom were retained on buprenorphine for 180 days or longer. Patients with alcohol use disorder (adjusted odds ratio [AOR], 0.39; 95% CI, 0.27-0.57), nonopioid drug use disorder (AOR, 0.64; 95% CI, 0.45-0.93), and serious mental illness (AOR, 0.60; 95% CI, 0.37-0.97) had lower buprenorphine receipt. Those with an anxiety disorder had higher buprenorphine receipt (AOR, 1.42; 95% CI, 1.04-1.95). Buprenorphine receipt (AOR, 0.55; 95% CI, 0.35-0.87) and 180-day retention (AOR, 0.40; 95% CI, 0.19-0.84) were less likely among non-Hispanic Black patients.

CONCLUSIONS

Further integration of addiction services in primary care may be needed to enhance buprenorphine receipt for patients with comorbid substance use disorders, and interventions are needed to address disparities in receipt and retention among non-Hispanic Black patients.

The Threefold Path to Equity: Approaches for Health and Aging Researchers

The authors present a model for pursuing equity in research on health and aging, in terms of: (a) community-driven research governance, with reference to examples inside and outside of the United States, (b) a focus on policy change, where policy is defined broadly in terms of all legislative and regulatory change, and (c) equity-focused research practices, at the level of measurement, analysis, and study design. The model is visualized as a "threefold path" that researchers may walk, to achieve changes within our field, and changes in how we interface with other fields, and communities.

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 ethnic inequities in stillbirth in the US: Looking upstream to close the gap: Seminars in Perinatology

Though stillbirth rates in the United States improved over the previous decades, inequities in stillbirth by race and ethnicity have persisted nearly unchanged since data collection began. Black and Indigenous pregnant people face a two-fold greater risk of experiencing the devastating consequences of stillbirth compared to their White counterparts. Because race is a social rather than biological construct, inequities in stillbirth rates are a downstream consequence of structural, institutional, and interpersonal racism which shape a landscape of differential access to opportunities for health. These downstream consequences can include differences in the prevalence of chronic health conditions as well as structural differences in the quality of health care or healthy neighborhood conditions, each of which likely plays a role in racial and ethnic inequities in stillbirth. Research and intervention approaches that utilize an equity lens may identify ways to close gaps in stillbirth incidence or in responding to the health and socioemotional consequences of stillbirth. A community-engaged approach that incorporates experiential wisdom will be necessary to create a full picture of the causes and consequences of inequity in stillbirth outcomes. Investigators working in tandem with community partners, utilizing a combination of qualitative, quantitative, and implementation science approaches, may more fully elucidate the underpinnings of racial and ethnic inequities in stillbirth outcomes.

Broadening the Environmental Lens to Include Social and Structural Determinants of Women's Health Disparities

BACKGROUND

Due to the physical, metabolic, and hormonal changes before, during, and after pregnancy, women-defined here as people assigned female at birth-are particularly susceptible to environmental insults. Racism, a driving force of social determinants of health, exacerbates this susceptibility by affecting exposure to both chemical and nonchemical stressors to create women's health disparities.

OBJECTIVES

To better understand and address social and structural determinants of women's health disparities, the National Institute of Environmental Health Sciences (NIEHS) hosted a workshop focused on the environmental impacts on women's health disparities and reproductive health in April 2022. This commentary summarizes foundational research and unique insights shared by workshop participants, who emphasized the need to broaden the definition of the environment to include upstream social and structural determinants of health. We also summarize current challenges and recommendations, as discussed by workshop participants, to address women's environmental and reproductive health disparities.

DISCUSSION

The challenges related to women's health equity, as identified by workshop attendees, included developing research approaches to better capture the social and structural environment in both human and animal studies, integrating environmental health principles into clinical care, and implementing more inclusive publishing and funding approaches. Workshop participants discussed recommendations in each of these areas that encourage interdisciplinary collaboration among researchers, clinicians, funders, publishers, and community members. https://doi.org/10.1289/EHP12996.

Structural barriers to health care as risk factors for preterm and small-for-gestational-age birth among US-born Black and White mothers

We develop county-level measures of structural and institutional barriers to care, and test associations between these barriers and birth outcomes for US-born Black and White mothers using national birth records for 2014-2017. Results indicate elevated odds of greater preterm birth severity for Black mothers in counties with higher uninsurance rates among Black adults, fewer Black physicians per Black residents, and fewer publicly-funded contraceptive services. Most structural barriers were not associated with small-for-gestational-age birth, and barriers defined for Black residents were not associated with birth outcomes for White mothers, with the exception of Black uninsurance rate. Structural determinants of care may influence preterm birth risk for Black Americans.

Measuring Structural Racism and Its Association with Racial Disparities in Firearm Homicide

INTRODUCTION

Structural racism is strongly related to racial health disparities. However, surprisingly few studies have developed empirical tools to measure structural racism. In addition, the few measures that have been employed have only considered structural racism at the neighborhood level. To expand upon previous studies, this paper uses a novel measure to measure structural racism at the county level for the non-Hispanic Black population.

METHODS

We used confirmatory factor analysis to create a model to measure the latent construct of structural racism for 1181 US counties. The model included five indicators across five dimensions: racial segregation, incarceration, educational attainment, employment, and economic status/wealth. Structural equation modeling and factor analysis were used to generate factor scores that weighted the indicators in order to produce the best model fit. The resulting factor scores represented the level of structural racism in each county. We demonstrated the utility of this measure by demonstrating its strong correlation with Black-White disparities in firearm homicide rates.

RESULTS

Our calculations revealed striking geographic differences across counties in the magnitude of structural racism, with the highest values generally being observed in the Midwest and Northeast. Structural racism was significantly associated with higher Black firearm homicide rates, lower White homicide rates, and a higher Black-White racial disparity in firearm homicide.

CONCLUSIONS

These new measures can be utilized by researchers to relate structural racism to racial health disparities at the county level.

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.

Critical Windows of Maternal Exposure to Biothermal Stress and Birth Weight for Gestational Age in Western Australia

BACKGROUND

There is limited and inconsistent evidence on the risk of ambient temperature on small for gestational age (SGA) and there are no known related studies for large for gestational age (LGA). In addition, previous studies used temperature rather than a biothermal metric.

OBJECTIVES

Our aim was to examine the associations and critical susceptible windows of maternal exposure to a biothermal metric [Universal Thermal Climate Index (UTCI)] and the hazards of SGA and LGA.

METHODS

We linked 385,337 singleton term births between 1 January 2000 and 31 December 2015 in Western Australia to daily spatiotemporal UTCI. Distributed lag nonlinear models with Cox regression and multiple models were used to investigate maternal exposure to UTCI from 12 weeks preconception to birth and the adjusted hazard ratios (HRs) of SGA and LGA.

RESULTS

Relative to the median exposure, weekly and monthly specific exposures showed potential critical windows of susceptibility for SGA and LGA at extreme exposures, especially during late gestational periods. Monthly exposure showed strong positive associations from the 6th to the 10th gestational months with the highest hazard of 13% for SGA (HR = 1.13 ; 95% CI: 1.10, 1.14) and 7% for LGA (HR = 1.07 ; 95% CI: 1.03, 1.11) at the 10th month for the 1st UTCI centile. Entire pregnancy exposures showed the strongest hazards of 11% for SGA (HR = 1.11 ; 95% CI: 1.04, 1.18) and 3% for LGA (HR = 1.03 ; 95% CI: 0.95, 1.11) at the 99th UTCI centile. By trimesters, the highest hazards were found during the second and first trimesters for SGA and LGA, respectively, at the 99th UTCI centile. Based on estimated interaction effects, male births, mothers who were non-Caucasian, smokers, ≥ 35 years of age, and rural residents were most vulnerable.

CONCLUSIONS

Both weekly and monthly specific extreme biothermal stress exposures showed potential critical susceptible windows of SGA and LGA during late gestational periods with disproportionate sociodemographic vulnerabilities. https://doi.org/10.1289/EHP12660.

Adapting a model of cervical carcinogenesis to self-identified Black women to evaluate racial disparities in the United States

BACKGROUND

Self-identified Black women in the United States have higher cervical cancer incidence and mortality than the general population, but these differences have not been clearly attributed across described cancer care inequities.

METHODS

A previously established microsimulation model of cervical cancer was adapted to reflect demographic, screening, and survival data for Black US women and compared with a model reflecting data for all US women. Each model input with stratified data (all-cause mortality, hysterectomy rates, screening frequency, screening modality, follow-up, and cancer survival) was sequentially replaced with Black-race specific data to arrive at a fully specified model reflecting Black women. At each step, we estimated the relative contribution of inputs to observed disparities.

RESULTS

Estimated (hysterectomy-adjusted) cervical cancer incidence was 8.6 per 100 000 in the all-race model vs 10.8 per 100 000 in the Black-race model (relative risk [RR] = 1.24, range = 1.23-1.27). Estimated all-race cervical cancer mortality was 2.9 per 100 000 vs 5.5 per 100 000 in the Black-race model (RR = 1.92, range = 1.85-2.00). We found the largest contributors of incidence disparities were follow-up from positive screening results (47.3% of the total disparity) and screening frequency (32.7%). For mortality disparities, the largest contributor was cancer survival differences (70.1%) followed by screening follow-up (12.7%).

CONCLUSION

To reduce disparities in cervical cancer incidence and mortality, it is important to understand and address differences in care access and quality across the continuum of care. Focusing on the practices and policies that drive differences in treatment and follow-up from cervical abnormalities may have the highest impact.

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.

Racial and Ethnic Disparities in Anemia and Severe Maternal Morbidity

OBJECTIVE

To evaluate antepartum anemia prevalence by race and ethnicity, to assess whether such differences contribute to severe maternal morbidity (SMM), and to estimate the contribution of antepartum anemia to SMM and nontransfusion SMM by race and ethnicity.

METHODS

We conducted a population-based cohort study using linked vital record and birth hospitalization data for singleton births at or after 20 weeks of gestation in California from 2011 through 2020. Pregnant patients with hereditary anemias, out-of-hospital births, unlinked records, and missing variables of interest were excluded. Antepartum anemia prevalence and trends were estimated by race and ethnicity. Centers for Disease Control and Prevention criteria were used for SMM and nontransfusion SMM indicators. Multivariable logistic regression modeling was used to estimate risk ratios (RRs) for SMM and nontransfusion SMM by race and ethnicity after sequential adjustment for social determinants, parity, obstetric comorbidities, delivery, and antepartum anemia. Population attributable risk percentages were calculated to assess the contribution of antepartum anemia to SMM and nontransfusion SMM by race and ethnicity.

RESULTS

In total, 3,863,594 births in California were included. In 2020, Black pregnant patients had the highest incidence of antepartum anemia (21.5%), followed by Pacific Islander (18.2%), American Indian-Alaska Native (14.1%), multiracial (14.0%), Hispanic (12.6%), Asian (10.6%), and White pregnant patients (9.6%). From 2011 to 2020, the prevalence of anemia increased more than100% among Black patients, and there was a persistent gap in prevalence among Black compared with White patients. Compared with White patients, the adjusted risk for SMM was high among most racial and ethnic groups; adjustment for anemia after sequential modeling for known confounders decreased SMM risk most for Black pregnant patients (approximated RR 1.47, 95% CI 1.42-1.53 to approximated RR 1.27, 95% CI 1.22-1.37). Compared with White patients, the full adjusted nontransfusion SMM risk remained high for most groups except Hispanic and multiracial patients. Within each racial and ethnic group, the population attributable risk percentage for antepartum anemia and SMM was highest for multiracial patients (21.4%, 95% CI 17.5-25.0%), followed by Black (20.9%, 95% CI 18.1-23.4%) and Hispanic (20.9%, 95% CI 19.9-22.1%) patients. The nontransfusion SMM population attributable risk percentages for Asian, Black, and White pregnant patients were less than 8%.

CONCLUSION

Antepartum anemia, most prevalent among Black pregnant patients, contributed to disparities in SMM by race and ethnicity. Nearly one in five to six SMM cases among Black, Hispanic, American Indian-Alaska Native, Pacific Islander, and multiracial pregnant patients is attributable in part to antepartum anemia.

Racial and Ethnic Disparities in Cervical Cancer Screening From Three U.S. Healthcare Settings

INTRODUCTION

This study sought to characterize racial and ethnic disparities in cervical cancer screening and follow-up of abnormal findings across 3 U.S. healthcare settings.

METHODS

Data were from 2016 to 2019 and were analyzed in 2022, reflecting sites within the Multi-level Optimization of the Cervical Cancer Screening Process in Diverse Settings & Populations Research Center, part of the Population-based Research to Optimize the Screening Process consortium, including a safety-net system in the southwestern U.S., a northwestern mixed-model system, and a northeastern integrated healthcare system. Screening uptake was evaluated among average-risk patients (i.e., no previous abnormalities) by race and ethnicity as captured in the electronic health record, using chi-square tests. Among patients with abnormal findings requiring follow-up, the proportion receiving colposcopy or biopsy within 6 months was reported. Multivariable regression was conducted to assess how clinical, socioeconomic, and structural characteristics mediate observed differences.

RESULTS

Among 188,415 eligible patients, 62.8% received cervical cancer screening during the 3-year study period. Screening use was lower among non-Hispanic Black patients (53.2%) and higher among Hispanic (65.4%,) and Asian/Pacific Islander (66.5%) than among non-Hispanic White patients (63.5%, all p<0.001). Most differences were explained by the distribution of patients across sites and differences in insurance. Hispanic patients remained more likely to screen after controlling for a variety of clinical and sociodemographic factors (risk ratio=1.14, CI=1.12, 1.16). Among those receiving any screening test, Black and Hispanic patients were more likely to receive Pap-only testing (versus receiving co-testing). Follow-up from abnormal results was low for all groups (72.5%) but highest among Hispanic participants (78.8%, p<0.001).

CONCLUSIONS

In a large cohort receiving care across 3 diverse healthcare settings, cervical cancer screening and follow-up were below 80% coverage targets. Lower screening for Black patients was attenuated by controlling for insurance and site of care, underscoring the role of systemic inequity. In addition, it is crucial to improve follow-up after abnormalities are identified, which was low for all populations.

Why Causation Matters: Rethinking "Race" as a Risk Factor

Although it is tempting to construe the correlation between Black "race" and higher rates of preterm birth as causal, this logic is flawed. Worse, the continued use of Black "race" as a risk factor for preterm birth is actively harmful. Using Black "race" as a risk factor suggests a causal relationship that does not exist and, critically, obscures what actually causes Black patients to be more vulnerable to poorer maternal and infant outcomes: anti-Black racism. Failing to name anti-Black racism as the root cause of Black patients' vulnerability conceals key pathways and tempts us to construe Black "race" as immutably related to higher rates of preterm birth. The result is that we overlook two highly treatable pathways-chronic stress and implicit bias-through which anti-Black racism negatively contributes to birth. Thus, clinicians may underuse important tools to reduce stress from racism and discrimination while missing opportunities to address implicit bias within their practices and institutions. Fortunately, researchers, physicians, clinicians, and medical staff can positively affect Black maternal and infant health by shifting our causal paradigm. By eliminating the use of Black "race" as a risk factor and naming anti-Black racism as the root cause of Black patients' vulnerability, we can practice anti-racist maternity care and take a critical step toward achieving birth equity.

Cause-specific mortality by county, race, and ethnicity in the USA, 2000-19: a systematic analysis of health disparities

BACKGROUND

Large disparities in mortality exist across racial-ethnic groups and by location in the USA, but the extent to which racial-ethnic disparities vary by location, or how these patterns vary by cause of death, is not well understood. We aimed to estimate age-standardised mortality by racial-ethnic group, county, and cause of death and describe the intersection between racial-ethnic and place-based disparities in mortality in the USA, comparing patterns across health conditions.

METHODS

We applied small-area estimation models to death certificate data from the US National Vital Statistics system and population data from the US National Center for Health Statistics to estimate mortality by age, sex, county, and racial-ethnic group annually from 2000 to 2019 for 19 broad causes of death. Race and ethnicity were categorised as non-Latino and non-Hispanic American Indian or Alaska Native (AIAN), non-Latino and non-Hispanic Asian or Pacific Islander (Asian), non-Latino and non-Hispanic Black (Black), Latino or Hispanic (Latino), and non-Latino and non-Hispanic White (White). We adjusted these mortality rates to correct for misreporting of race and ethnicity on death certificates and generated age-standardised results using direct standardisation to the 2010 US census population.

FINDINGS

From 2000 to 2019, across 3110 US counties, racial-ethnic disparities in age-standardised mortality were noted for all causes of death considered. Mortality was substantially higher in the AIAN population (all-cause mortality 1028·2 [95% uncertainty interval 922·2-1142·3] per 100 000 population in 2019) and Black population (953·5 [947·5-958·8] per 100 000) than in the White population (802·5 [800·3-804·7] per 100 000), but substantially lower in the Asian population (442·3 [429·3-455·0] per 100 000) and Latino population (595·6 [583·7-606·8] per 100 000), and this pattern was found for most causes of death. However, there were exceptions to this pattern, and the exact order among racial-ethnic groups, magnitude of the disparity in both absolute and relative terms, and change over time in this magnitude varied considerably by cause of death. Similarly, substantial geographical variation in mortality was observed for all causes of death, both overall and within each racial-ethnic group. Racial-ethnic disparities observed at the national level reflect widespread disparities at the county level, although the magnitude of these disparities varied widely among counties. Certain patterns of disparity were nearly universal among counties; for example, in 2019, mortality was higher among the AIAN population than the White population in at least 95% of counties for skin and subcutaneous diseases (455 [97·8%] of 465 counties with unmasked estimates) and HIV/AIDS and sexually transmitted infections (458 [98·5%] counties), and mortality was higher among the Black population than the White population in nearly all counties for skin and subcutaneous diseases (1436 [96·6%] of 1486 counties), diabetes and kidney diseases (1473 [99·1%]), maternal and neonatal disorders (1486 [100·0%] counties), and HIV/AIDS and sexually transmitted infections (1486 [100·0%] counties).

INTERPRETATION

Disparities in mortality among racial-ethnic groups are ubiquitous, occurring across locations in the USA and for a wide range of health conditions. There is an urgent need to address the shared structural factors driving these widespread disparities.

FUNDING

National Institute on Minority Health and Health Disparities; National Heart, Lung, and Blood Institute; National Cancer Institute; National Institute on Aging; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Office of Disease Prevention; and Office of Behavioral and Social Sciences Research, US National Institutes of Health.

Community and Systems Contributors and Strategies to Reduce Racial Inequities in Maternal Health in the Deep South: Provider Perspectives

Purpose

Black pregnant individuals in Alabama are disproportionately affected by severe maternal morbidity and mortality (SMM). To understand why racial disparities in maternal health outcomes persist and identify potential strategies to reduce these inequities, we sought perspectives from obstetric health care providers, health administrators, and members of local organizations who provide pregnancy, delivery, and postpartum care services in Alabama.

Methods

We conducted qualitative in-depth interviews with stakeholders (n=20), purposively recruited from community-based organizations, clinical settings, government organizations, and academic institutions. Interview guides were based on Howell's conceptual model of pathways to racial disparities in maternal mortality. Data were coded using a modified framework theory approach and analyzed thematically.

Results

Racism, unjust laws and policies, and poverty/lack of infrastructure in communities emerged as major themes contributing to racial disparities in maternal health at the community and systems levels. Inadequate health insurance coverage was described as a strong driver of the disparities. Service providers suggested strategies for Alabama should be community focused, evidence based, and culturally sensitive. These should include Medicaid expansion, expanded parental leave, and removal of laws restricting choice. Community- and systems-level interventions should include community infrastructure improvements, choice in maternity services, and provision of digital communication options.

Conclusions

Providers shared perspectives on community and structural areas of intervention to reduce racial inequities in SMM. These results can inform discussions with health system and community partners about Alabama and other Deep South initiatives to improve maternal health outcomes in black communities.

The Water Surrounding the Iceberg: Cultural Racism and Health Inequities

Policy Points Cultural racism-or the widespread values that privilege and protect Whiteness and White social and economic power-permeates all levels of society, uplifts other dimensions of racism, and contributes to health inequities. Overt forms of racism, such as racial hate crimes, represent only the "tip of the iceberg," whereas structural and institutional racism represent its base. This paper advances cultural racism as the "water surrounding the iceberg," allowing it to float while obscuring its base. Considering the fundamental role of cultural racism is needed to advance health equity.

CONTEXT

Cultural racism is a pervasive social toxin that surrounds all other dimensions of racism to produce and maintain racial health inequities. Yet, cultural racism has received relatively little attention in the public health literature. The purpose of this paper is to 1) provide public health researchers and policymakers with a clearer understanding of what cultural racism is, 2) provide an understanding of how it operates in conjunction with the other dimensions of racism to produce health inequities, and 3) offer directions for future research and interventions on cultural racism.

METHODS

We conducted a nonsystematic, multidisciplinary review of theory and empirical evidence that conceptualizes, measures, and documents the consequences of cultural racism for social and health inequities.

FINDINGS

Cultural racism can be defined as a culture of White supremacy, which values, protects, and normalizes Whiteness and White social and economic power. This ideological system operates at the level of our shared social consciousness and is expressed in the language, symbols, and media representations of dominant society. Cultural racism surrounds and bolsters structural, institutional, personally mediated, and internalized racism, undermining health through material, cognitive/affective, biologic, and behavioral mechanisms across the life course.

CONCLUSIONS

More time, research, and funding is needed to advance measurement, elucidate mechanisms, and develop evidence-based policy interventions to reduce cultural racism and promote health equity.

State-Level Anti-Immigrant Sentiment and Policies and Health Risks in US Latino Children

BACKGROUND

Although systemic inequities, broadly defined, are associated with health disparities in adults, there is a dearth of research linking contextual measures of exclusionary policies or prejudicial attitudes to health impairments in children, particularly among Latino populations. In this study, we examined a composite measure of systemic inequities in relation to the cooccurrence of multiple health problems in Latino children in the United States.

METHODS

Participants included 17 855 Latino children aged 3 to 17 years from the National Survey of Children's Health (2016-2020). We measured state-level systemic inequities using a factor score that combined an index of exclusionary state policies toward immigrants and aggregated survey data on prejudicial attitudes toward immigrants and Latino individuals. Caregivers reported on 3 categories of child health problems: common health difficulties in the past year, current chronic physical health conditions, and current mental health conditions. For each category, we constructed a variable reflecting 0, 1, or 2 or more conditions.

RESULTS

In models adjusted for sociodemographic covariates, interpersonal discrimination, and state-level income inequality, systemic inequities were associated with 1.13 times the odds of a chronic physical health condition (95% confidence interval: 1.02-1.25) and 1.24 times the odds of 2 or more mental health conditions (95% confidence interval: 1.06-1.45).

CONCLUSIONS

Latino children residing in states with higher levels of systemic inequity are more likely to experience mental health or chronic physical health conditions relative to those in states with lower levels of systemic inequity.

Structural racism and racial health disparities at the state level: A latent variable approach

Introduction Structural racism is increasingly being recognized as a fundamental cause of racial health disparities. We used a novel measure of structural racism at the state level to examine the relationship between structural racism and disparities in death rates from firearm homicide, infant mortality, HIV, diabetes, stroke, hypertension, asthma, and kidney disease between non-Hispanic Black and non-Hispanic White people in the United States. Methods We used confirmatory factor analysis to measure the latent construct of structural racism for all 50 states. The model included seven indicators across the structural racism domains of residential segregation, economic status/employment, education, incarceration, political participation and representation, environmental racism, and racial equity inclusion. Weights for each of the indicators were determined by examining alternative models and selecting the model with the best fit statistics. The resulting factor scores, representing the level of structural racism in each state across the seven domains, were then used as predictor variables in a series of linear regressions with the ratio of Black to White death rates for each health outcome as the dependent variables. Results We found significant relationships between higher levels of the latent structural racism measure and greater disparities between non-Hispanic Black and non-Hispanic White people in age-adjusted death rates for firearm homicide, infant mortality, HIV, asthma, and obesity. The magnitude of this relationship was greatest for firearm homicide, with each one standard deviation increase in a state's structural racism factor score being associated with an increase of 4.54 (95% CI, 2.91-6.17) in that state's Black-White firearm homicide rate ratio. Conclusions This research provides further evidence that structural racism is a fundamental cause of racial health disparities and that to repair these inequities, macro-level changes in societal structures, institutions, resource allocation, representation, and power will be necessary.

Evaluation of Neighborhood-Level Disadvantage and Cognition in Mexican American and Non-Hispanic White Adults 50 Years and Older in the US

Importance

Understanding how socioeconomic factors are associated with cognitive aging is important for addressing health disparities in Alzheimer disease.

Objective

To examine the association of neighborhood disadvantage with cognition among a multiethnic cohort of older adults.

Design, Setting, and Participants

In this cross-sectional study, data were collected between September 1, 2017, and May 31, 2022. Participants were from the Health and Aging Brain Study-Health Disparities, which is a community-based single-center study in the Dallas/Fort Worth area of Texas. A total of 1614 Mexican American and non-Hispanic White adults 50 years and older were included.

Exposure

Neighborhood disadvantage for participants' current residence was measured by the validated Area Deprivation Index (ADI); ADI Texas state deciles were converted to quintiles, with quintile 1 representing the least disadvantaged area and quintile 5 the most disadvantaged area. Covariates included age, sex, and educational level.

Main Outcomes and Measures

Performance on cognitive tests assessing memory, language, attention, processing speed, and executive functioning; measures included the Spanish-English Verbal Learning Test (SEVLT) Learning and Delayed Recall subscales; Wechsler Memory Scale, third edition (WMS-III) Digit Span Forward, Digit Span Backward, and Logical Memory 1 and 2 subscales; Trail Making Test (TMT) parts A and B; Digit Symbol Substitution Test (DSST); Letter Fluency; and Animal Naming. Raw scores were used for analyses. Associations between neighborhood disadvantage and neuropsychological performance were examined via demographically adjusted linear regression models stratified by ethnic group.

Results

Among 1614 older adults (mean [SD] age, 66.3 [8.7] years; 980 women [60.7%]), 853 were Mexican American (mean [SD] age, 63.9 [7.9] years; 566 women [66.4%]), and 761 were non-Hispanic White (mean [SD] age, 69.1 [8.7] years; 414 women [54.4%]). Older Mexican American adults were more likely to reside in the most disadvantaged areas (ADI quintiles 3-5), with 280 individuals (32.8%) living in ADI quintile 5, whereas a large proportion of older non-Hispanic White adults resided in ADI quintile 1 (296 individuals [38.9%]). Mexican American individuals living in more disadvantaged areas had worse performance than those living in ADI quintile 1 on 7 of 11 cognitive tests, including SEVLT Learning (ADI quintile 5: β = -2.50; 95% CI, -4.46 to -0.54), SEVLT Delayed Recall (eg, ADI quintile 3: β = -1.11; 95% CI, -1.97 to -0.24), WMS-III Digit Span Forward (eg, ADI quintile 4: β = -1.14; 95% CI, -1.60 to -0.67), TMT part A (ADI quintile 5: β = 7.85; 95% CI, 1.28-14.42), TMT part B (eg, ADI quintile 5: β = 31.5; 95% CI, 12.16-51.35), Letter Fluency (ADI quintile 4: β = -2.91; 95% CI, -5.39 to -0.43), and DSST (eg, ADI quintile 5: β = -4.45; 95% CI, -6.77 to -2.14). In contrast, only non-Hispanic White individuals living in ADI quintile 4 had worse performance than those living in ADI quintile 1 on 4 of 11 cognitive tests, including SEVLT Learning (β = -2.35; 95% CI, -4.40 to -0.30), SEVLT Delayed Recall (β = -0.95; 95% CI, -1.73 to -0.17), TMT part B (β = 15.95; 95% CI, 2.47-29.44), and DSST (β = -3.96; 95% CI, -6.49 to -1.43).

Conclusions and Relevance

In this cross-sectional study, aging in a disadvantaged area was associated with worse cognitive functioning, particularly for older Mexican American adults. Future studies examining the implications of exposure to neighborhood disadvantage across the life span will be important for improving cognitive outcomes in diverse populations.

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.

Residential segregation and prenatal depression in a non-Hispanic Black and Hispanic cohort in North Carolina

PURPOSE

Investigate residential segregation and prenatal depression in a non-Hispanic (NH) Black and Hispanic North Carolina pregnancy cohort.

METHODS

Demographics, prenatal depression (Center for Epidemiological Studies Depression scale ≥16), and residence from the 2006-2009 Newborn Epigenetic Survey were linked to Census-tract levels of racial and economic segregation (Index of Concentration at the Extremes) from the American Community Survey 2005-2009 5-year estimates. Adjusted prevalence ratios (aPR) for prenatal depression compared living in Index of Concentration at the Extremes tertiles 1 and 2 (higher proportion NH Black or Hispanic and/or low income) to 3 (higher proportion NH white and/or high-income), accounting for neighborhood clustering, age, education, employment, parity, and marital status.

RESULTS

Among the 773 survey participants (482 NH Black and 291 Hispanic), 35.7% and 27.2% of NH Black and Hispanic participants had prenatal depression, respectively. For NH Black participants, depression prevalence was 17% lower for tertile 1 versus 3 for the NH Black/white (aPR=0.83; 95% CI=0.62-1.10), low/high income (aPR=0.83; 95% CI=0.62-1.11), and low-income NH Black/high-income NH white (aPR=0.82; 95% CI=0.61-1.09) measures. For Hispanic participants, estimates were weaker in the opposite direction for the Hispanic/NH white (aPR=1.02; 95% CI=0.71-1.47), low/high income (aPr=1.14; (95% CI=0.76-1.69), and low-income Hispanic/high-income NH white (aPR=1.12; 95% CI=0.78-1.60) measures.

CONCLUSIONS

Residential segregation's impact on prenatal depression may differ by race/ethnicity and level of segregation, but findings are imprecise due to small sample sizes. Longitudinal research spanning greater geographic areas is needed.

Embedded racism: Inequitable niche construction as a neglected evolutionary process affecting health

Racial health disparities are a pervasive feature of modern experience and structural racism is increasingly recognized as a public health crisis. Yet evolutionary medicine has not adequately addressed the racialization of health and disease, particularly the systematic embedding of social biases in biological processes leading to disparate health outcomes delineated by socially defined race. In contrast to the sheer dominance of medical publications which still assume genetic 'race' and omit mention of its social construction, we present an alternative biological framework of racialized health. We explore the unifying evolutionary-ecological principle of niche construction as it offers critical insights on internal and external biological and behavioral feedback processes environments at every level of the organization. We Integrate insights of niche construction theory in the context of human evolutionary and social history and phenotype-genotype modification, exposing the extent to which racism is an evolutionary mismatch underlying inequitable disparities in disease. We then apply ecological models of niche exclusion and exploitation to institutional and interpersonal racial constructions of population and individual health and demonstrate how discriminatory processes of health and harm apply to evolutionarily relevant disease classes and life-history processes in which socially defined race is poorly understood and evaluated. Ultimately, we call for evolutionary and biomedical scholars to recognize the salience of racism as a pathogenic process biasing health outcomes studied across disciplines and to redress the neglect of focus on research and application related to this crucial issue.

Racism and Electronic Health Records (EHRs): Perspectives for research and practice

Informatics researchers and practitioners have started exploring racism related to the implementation and use of electronic health records (EHRs). While this work has begun to expose structural racism which is a fundamental driver of racial and ethnic disparities, there is a lack of inclusion of concepts of racism in this work. This perspective provides a classification of racism at 3 levels-individual, organizational, and structural-and offers recommendations for future research, practice, and policy. Our recommendations include the need to capture and use structural measures of social determinants of health to address structural racism, intersectionality as a theoretical framework for research, structural competency training, research on the role of prejudice and stereotyping in stigmatizing documentation in EHRs, and actions to increase the diversity of private sector informatics workforce and participation of minority scholars in specialty groups. Informaticians have an ethical and moral obligation to address racism, and private and public sector organizations have a transformative role in addressing equity and racism associated with EHR implementation and use.

Health-care access dimensions and ovarian cancer survival: SEER-Medicare analysis of the ORCHiD study

BACKGROUND

Racial and ethnic disparities in ovarian cancer (OC) survival are well-documented. However, few studies have investigated how health-care access (HCA) contributes to these disparities.

METHODS

To evaluate the influence of HCA on OC mortality, we analyzed 2008-2015 Surveillance, Epidemiology, and End Results-Medicare data. Multivariable Cox proportional hazards regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between HCA dimensions (affordability, availability, accessibility) and OC-specific and all-cause mortality, adjusting for patient characteristics and treatment receipt.

RESULTS

The study cohort included 7590 OC patients: 454 (6.0%) Hispanic, 501 (6.6%) Non-Hispanic (NH) Black, and 6635 (87.4%) NH White. Higher affordability (HR = 0.90, 95% CI = 0.87 to 0.94), availability (HR = 0.95, 95% CI = 0.92 to 0.99), and accessibility scores (HR = 0.93, 95% CI = 0.87 to 0.99) were associated with lower risk of OC mortality after adjusting for demographic and clinical factors. Racial disparities were observed after additional adjustment for these HCA dimensions: NH Black patients experienced a 26% higher risk of OC mortality compared with NH White patients (HR = 1.26, 95% CI = 1.11 to 1.43) and a 45% higher risk among patients who survived at least 12 months (HR = 1.45, 95% CI = 1.16 to 1.81).

CONCLUSIONS

HCA dimensions are statistically significantly associated with mortality after OC and explain some, but not all, of the observed racial disparity in survival of patients with OC. Although equalizing access to quality health care remains critical, research on other HCA dimensions is needed to determine additional factors contributing to disparate OC outcomes by race and ethnicity and advance the field toward health equity.

The impact of social and environmental factors on cancer biology in Black Americans

Low socioeconomic status (SES) is associated with early onset of chronic diseases and reduced life expectancy. The involvement of neighborhood-level factors in defining cancer risk and outcomes for marginalized communities has been an active area of research for decades. Yet, the biological processes that underlie the impact of SES on chronic health conditions, such as cancer, remain poorly understood. To date, limited studies have shown that chronic life stress is more prevalent in low SES communities and can affect important molecular processes implicated in tumor biology such as DNA methylation, inflammation, and immune response. Further efforts to elucidate how neighborhood-level factors function physiologically to worsen cancer outcomes for disadvantaged communities are underway. This review provides an overview of the current literature on how socioenvironmental factors within neighborhoods contribute to more aggressive tumor biology, specifically in Black U.S. women and men, including the impact of environmental pollutants, neighborhood deprivation, social isolation, structural racism, and discrimination. We also summarize commonly used methods to measure deprivation, discrimination, and structural racism at the neighborhood-level in cancer health disparities research. Finally, we offer recommendations to adopt a multi-faceted intersectional approach to reduce cancer health disparities and develop effective interventions to promote health equity.

Telehealth information and communication technology access for family caregivers of people with intellectual and developmental disabilities and mental health needs

BACKGROUND

Telehealth is increasingly used to deliver mental health services. However, the potential benefits of telehealth for people with intellectual and developmental disabilities and mental health needs (IDD-MH) may not be fully realized. This study addresses gaps in knowledge about access to information and communication technologies (ICTs) for individuals with IDD-MH from the perspective of their family caregivers.

OBJECTIVE

What factors are associated with access to ICTs among family caregivers of people with IDD-MH who use START services?

METHODS

Retrospective analysis of cross-sectional interview data gathered for START use at the onset of COVID-19. START is a crisis prevention and intervention evidence-based model for people with IDD-MH implemented across the USA. To assess needs during COVID-19, START coordinators conducted interviews with 1455 family caregivers between March and July 2020. A multinomial regression model examined correlates of ICT access, as indicated by an index (poor, limited, and optimal access). Correlates included the level of IDD, age, gender, race, ethnicity, rural setting of the person with IDD-MH, and caregiver status.

RESULTS

Age (ages 23-30 years) and sole caregiver status were significantly associated with limited access (both p ≤ .001). Age (ages 23-30 years and ≥31 years, p < .001), race (Black or African American, p = .001), ethnicity (Hispanic, p = .004), and sole caregiver status (p < .001) were significantly associated with poor access.

CONCLUSIONS

Disparities existed in ICT access for adults, specific racial/ethnic groups, and sole caregiver households. Healthcare policy related to telehealth must consider how ICT access can be equitable for all users with IDD-MH.

Opportunities to Advance Postpartum Pelvic Floor Care With a Health Equity-based Conceptual Framework

An essential part of postpartum care includes the evaluation and treatment of pelvic floor disorders (PFDs). Postpartum PFDs are common and occur in over 40% of postpartum women. Despite significant advancements in urogynecology to understand postpartum PFDs and their treatments, there has been a lack of attention to addressing equity in postpartum pelvic floor care. In this article, we address the current scientific understanding of postpartum PFDs while adapting a health equity-based conceptual framework to highlight areas of opportunity in optimizing postpartum pelvic floor care.

Structural racism theory, measurement, and methods: A scoping review

Introduction

Epidemiologic and public health interest in structural racism has grown dramatically, producing both increasingly sophisticated questions, methods, and findings, coupled with concerns of atheoretical and ahistorical approaches that often leave the actual production of health or disease ambiguous. This trajectory raises concerns as investigators adopt the term "structural racism" without engaging with theories and scholars with a long history in this area. This scoping review aims to build upon recent work by identifying current themes about the incorporation of structural racism into (social) epidemiologic research and practice with respect to theory, measurement, and practices and methods for trainees and public health researchers who are not already deeply grounded in this work.

Methods

This review uses methodological framework and includes peer-review articles written in English published between January 2000-August 2022.

Results

A search of Google Scholar, manual collection, and referenced lists identified a total of 235 articles; 138 met the inclusion criteria after duplicates were removed. Results were extracted by, and organized into, three broad sections: theory, construct measurement, and study practice and methods, with several themes summarized in each section.

Discussion

This review concludes with a summary of recommendations derived from our scoping review and a call to action echoing previous literature to resist an uncritical and superficial adoption of "structural racism" without attention to already existing scholarship and recommendations put forth by experts in the field.

Study designs, measures and indexes used in studying the structural racism as a social determinant of health in high income countries from 2000-2022: evidence from a scoping review

BACKGROUND

Globally, structural racism has been well documented as an important social determinant of health (SODH) resulting in racial inequality related to health. Although studies on structural racism have increased over the years, the selection of appropriate designs, measures, and indexes of measurement that respond to SODH has not been comprehensively documented. Therefore, the lack of evidence seems to exist. This scoping review was conducted to map and summarize global evidence on the use of various designs, measures, and indexes of measurement when studying structural racism as a social determinant of health.

METHODS

We performed a scoping review of global evidence from 2000 to 2022 published in 5 databases: PubMed, Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsycInfo, Web of Science, ProQuest, and relevant grey literature on structural racism. We conducted a systematic search using keywords and subject headings around 3 concepts. We included peer reviewed original research/review articles which conceived the framework of social determinants of health (SODH) and studied structural racism.

RESULTS

Our review identified 1793 bibliographic citations for screening and 54 articles for final review. Articles reported 19 types of study design, 87 measures of exposure and 58 measures of health outcomes related to structural racism. 73 indexes or scales of measurement were used to assess health impacts of structural racism. Majority of articles were primary research (n = 43/54 articles; 79.6%), used quantitative research method (n = 32/54 articles; 59.3%) and predominantly conducted in the United States (n = 46/54 articles; 85.2.6%). Cross-sectional study design was the most used design (n = 17/54 articles; 31.5%) followed by systematic review (n = 7/54 articles; 13.0%) and narrative review (n = 6/54 articles; 11.1%). Housing and residential segregation was the largest cluster of exposure with the highest impact in infant health outcome.

CONCLUSIONS

Our review found several key gaps and research priorities on structural racism such as lack of longitudinal studies and availability of structural or ecological data, lack of consensus on the use of consolidated appropriate measures, indexes of measurement and appropriate study designs that can capture complex interactions of exposure and outcomes related to structural racism holistically.

Does Context and Adversity Shape Sexual Behavior in Youth? Findings from Two Representative Samples of Puerto Rican Youth

Sexual risk behaviors often co-occur. Understanding the heterogeneity in patterns of sexual behavior among youth and how context of majority and minoritized status may be related to these behaviors can inform targeted STIs/HIV interventions. Data are from the Boricua Youth Study, a longitudinal study of two probability samples of Puerto Rican youth recruited in the South Bronx (SBx) and the metropolitan area in Puerto Rico (PR). We identified patterns of sexual behaviors among young adults (ages 15-24) with sexual experience (N = 1,203) using latent class analysis. Analyses examined context differences and the prospective relationship between adverse childhood experiences (ACEs) (childhood maltreatment/violence, family/parental dysfunction) and patterns of sexual behaviors (age at first sex, number of sex partners, sex with a high-risk partner, condom use, sex while intoxicated, oral sex, anal sex). We identified five classes of sexual behaviors: (1) currently inactive (16.51%); (2) single partner, low activity (13.49%); (3) single partner, inconsistent condom use (32.19%); (4) single partner, sex without a condom (27.65%); and (5) multirisk (10.16%). Young adults from the SBx (minoritized context), those who identified as male, and those with higher child maltreatment/violence ACEs were more likely to be in the multi-risk class relative to the single partner, inconsistent condom use class. Those from the SBx were also more likely to be in the single partner, sex without condom class, relative to the single partner, inconsistent condom use class. Differences in young adults' patterns of sexual behaviors between the two contexts, one representing the minoritized context (SBx) contrasted to the majority context (PR), were not explained by ACEs. Findings highlight the heterogeneity in the patterns of sexual behaviors among Puerto Rican young adults as well as how such patterns vary based on sociocultural contexts. Exposure to child maltreatment/violence ACEs was related to the riskier patterns; however, they did not explain why riskier patterns of sexual behaviors were found in the SBx compared to PR. Results underscore the need for tailored interventions and more in-depth examination of differences across contexts.

Assessment of Population-Level Disadvantage Indices to Inform Equitable Health Policy

Policy Points The rapid uptake of disadvantage indices during the pandemic highlights investment in implementing tools that address health equity to inform policy. Existing indices differ in their design, including data elements, social determinants of health domains, and geographic unit of analysis. These differences can lead to stark discrepancies in place-based social risk scores depending on the index utilized. Disadvantage indices are useful tools for identifying geographic patterns of social risk; however, indiscriminate use of indices can have varied policy implications and unintentionally worsen equity. Implementers should consider which indices are suitable for specific communities, objectives, potential interventions, and outcomes of interest.

CONTEXT

There has been unprecedented uptake of disadvantage indices such as the Centers for Disease Control and Prevention Social Vulnerability Index (SVI) to identify place-based patterns of social risk and guide equitable health policy during the COVID-19 pandemic. However, limited evidence around data elements, interoperability, and implementation leaves unanswered questions regarding the utility of indices to prioritize health equity.

METHODS

We identified disadvantage indices that were (a) used three or more times from 2018 to 2021, (b) designed using national-level data, and (c) available at the census-tract or block-group level. We used a network visualization to compare social determinants of health (SDOH) domains across indices. We then used geospatial analyses to compare disadvantage profiles across indices and geographic areas.

FINDINGS

We identified 14 indices. All incorporated data from public sources, with half using only American Community Survey data (n = 7) and the other half combining multiple sources (n = 7). Indices differed in geographic granularity, with county level (n = 5) and census-tract level (n = 5) being the most common. Most states used the SVI during the pandemic. The SVI, the Area Deprivation Index (ADI), the COVID-19 Community Vulnerability Index (CCVI), and the Child Opportunity Index (COI) met criteria for further analysis. Selected indices shared five indicators (income, poverty, English proficiency, no high school diploma, unemployment) but varied in other metrics and construction method. While mapping of social risk scores in Durham County, North Carolina; Cook County, Illinois; and Orleans Parish, Louisiana, showed differing patterns within the same locations depending on choice of disadvantage index, risk scores across indices showed moderate to high correlation (rs 0.7-1). However, spatial autocorrelation analyses revealed clustering, with discrepant distributions of social risk scores between different indices.

CONCLUSIONS

Existing disadvantage indices use varied metrics to represent place-based social risk. Within the same geographic area, different indices can provide differences in social risk values and interpretations, potentially leading to varied public health or policy responses.

Racial/Ethnic Differences in Psychiatric and Medical Diagnoses Among Autistic Adults

Background

Racial/ethnic disparities in access to diagnostic services are pervasive for autistic children. However, a few studies have examined racial/ethnic health disparities among autistic adults, who commonly experience higher rates of health conditions than non-autistic adults. We aimed at examining the intersection of autism and race/ethnicity in association with psychiatric and medical diagnoses.

Methods

The study population included adult members of Kaiser Permanente Northern California enrolled from 2008 to 2012. We ascertained 1507 adults who had an autism diagnosis documented in their electronic medical records. We sampled a matched control group of adults without an autism diagnosis (N = 15,070) at a 10:1 ratio. Our sample was 46% White, 17% Hispanic, 16% Asian, 7% Black, and 14% other race/ethnicity. We compared health diagnoses (a) between autistic and non-autistic adults within strata of race/ethnicity and (b) across race/ethnicity within strata of autistic and non-autistic adults. Lastly, we examined the interaction between autism and race/ethnicity on both multiplicative and additive scales.

Results

Autistic adults were more likely to be diagnosed with most medical and psychiatric conditions compared with their non-autistic counterparts of the same race/ethnicity. Among autistic adults, Black, Hispanic, and Asian adults were less likely to be diagnosed with psychiatric conditions and Black and Hispanic autistic adults were more likely to be diagnosed with obesity than their White counterparts. In interaction models, we found that adults who were Black and autistic were disproportionately less likely to be diagnosed with psychiatric conditions and autoimmune disease and more likely to be diagnosed with hypertension than expected.

Conclusion

Health vulnerabilities may be compounded at the intersection of autism and race/ethnicity. Future research should continue to apply an intersectional lens toward understanding and addressing these disparities. Our findings likely underestimate the health disparities that exist in uninsured autistic adults and those living in other parts of the United States.

The public health exposome and pregnancy-related mortality in the United States: a high-dimensional computational analysis

BACKGROUND

Racial inequities in maternal mortality in the U.S. continue to be stark.

METHODS

The 2015-2018, 4-year total population, county-level, pregnancy-related mortality ratio (PRM; deaths per 100,000 live births; National Center for Health Statistics (NCHS), restricted use mortality file) was linked with the Public Health Exposome (PHE). Using data reduction techniques, 1591 variables were extracted from over 62,000 variables for use in this analysis, providing information on the relationships between PRM and the social, health and health care, natural, and built environments. Graph theoretical algorithms and Bayesian analysis were applied to PHE/PRM linked data to identify latent networks.

RESULTS

PHE variables most strongly correlated with total population PRM were years of potential life lost and overall life expectancy. Population-level indicators of PRM were overall poverty, smoking, lack of exercise, heat, and lack of adequate access to food.

CONCLUSIONS

In this high-dimensional analysis, overall life expectancy, poverty indicators, and health behaviors were found to be the strongest predictors of pregnancy-related mortality. This provides strong evidence that maternal death is part of a broader constellation of both similar and unique health behaviors, social determinants and environmental exposures as other causes of death.

Structural racism and adverse maternal health outcomes: A systematic review

In the United States, racial disparities in adverse maternal health outcomes remain a pressing issue, with Black women experiencing a 3-4 times higher risk of maternal mortality and a 2-3 times higher risk of severe maternal morbidity. Despite recent encouraging efforts, fundamental determinants of these alarming inequities (e.g. structural racism) remain understudied. Approaches that address these structural drivers are needed to then intervene upon root causes of adverse maternal outcomes and their disparities and to ultimately improve maternal health across the U.S. In this paper, we offer a conceptual framework for studies of structural racism and maternal health disparities and systematically synthesize the current empirical epidemiologic literature on the links between structural racism measures and adverse maternal health outcomes. For the systematic review, we searched electronic databases (Pubmed, Web of Science, and EMBASE) to identify peer-reviewed U.S. based quantitative articles published between 1990 and 2021 that assessed the link between measures of structural racism and indicators of maternal morbidity/mortality. Our search yielded 2394 studies and after removing duplicates, 1408 were included in the title and abstract screening, of which 18 were included in the full text screening. Only 6 studies met all the specified inclusion criteria for this review. Results revealed that depending on population sub-group analyzed, measures used, and covariates considered, there was evidence that structural racism may increase the risk of adverse maternal health outcomes. This review also highlighted several areas for methodological and theoretical development in this body of work. Future work should more comprehensively assess structural racism in a way that informs policy and interventions, which can ameliorate its negative consequences on racial/ethnic disparities in maternal morbidity/mortality.

Relationship Between Neighborhood Socioeconomic Disadvantage and Severe Maternal Morbidity and Maternal Mortality

Background

Rates of severe maternal morbidity and maternal mortality (SMM/MM) in the United States are rising. Disparities in SMM/MM persist by race, ethnicity and geography, and could partially be attributed to social determinants of health.

Purpose

Utilizing data from the largest, statewide referral hospital in Alabama, we investigated the relationship between residence in disadvantaged neighborhoods and SMM/MM.

Methods

Data on all pregnancies between 2010 and 2020 were included; SMM/MM cases were identified using CDC definitions. Area deprivation index (ADI) available at the census-block group was geographically linked to individual records and categorized using quintile cutoffs; higher ADI score indicated higher socioeconomic disadvantage. Generalized estimating equation models were used to adjust for spatial autocorrelation and ORs were computed to evaluate the relationship between ADI and SMM/MM, adjusted for covariates including age, race, insurance, residence in medically underserved areas/population (MUAP), and urban/rural residence.

Results

Overall, 32,909 live-birth deliveries were identified, with a prevalence of 9.8% deliveries with SMM/MM with blood transfusion and 5.3% without blood transfusion, respectively. Increased levels of ADI were associated with increased odds of SMM/MM. Compared to women in the lowest quintile, the adjusted OR for SMM/MM among women in highest quintile was 1.78 (95%CI, 1.22-2.59, P=.0027); increasing age, non-Hispanic Black, government insurance and residence in MUAP were also significantly associated with increased odds of SMM/MM.

Conclusion

Our results suggest that residence within disadvantaged neighborhoods may contribute to SMM/MM even after adjusting for patient-level factors. Measures such as ADI can help identify the most vulnerable populations and provide points to intervene.

Racial disparities in epithelial ovarian cancer survival: An examination of contributing factors in the Ovarian Cancer in Women of African Ancestry consortium

Black women diagnosed with epithelial ovarian cancer have poorer survival compared to white women. Factors that contribute to this disparity, aside from socioeconomic status and guideline-adherent treatment, have not yet been clearly identified. We examined data from the Ovarian Cancer in Women of African Ancestry (OCWAA) consortium which harmonized data on 1074 Black women and 3263 white women with ovarian cancer from seven US studies. We selected potential mediators and confounders by examining associations between each variable with race and survival. We then conducted a sequential mediation analysis using an imputation method to estimate total, direct, and indirect effects of race on ovarian cancer survival. Black women had worse survival than white women (HR = 1.30; 95% CI 1.16-1.47) during study follow-up; 67.9% of Black women and 69.8% of white women died. In our final model, mediators of this disparity include college education, nulliparity, smoking status, body mass index, diabetes, diabetes/race interaction, postmenopausal hormone (PMH) therapy duration, PMH duration/race interaction, PMH duration/age interaction, histotype, and stage. These mediators explained 48.8% (SE = 12.1%) of the overall disparity; histotype/stage and PMH duration accounted for the largest fraction. In summary, nearly half of the disparity in ovarian cancer survival between Black and white women in the OCWAA consortium is explained by education, lifestyle factors, diabetes, PMH use, and tumor characteristics. Our findings suggest that several potentially modifiable factors play a role. Further research to uncover additional mediators, incorporate data on social determinants of health, and identify potential avenues of intervention to reduce this disparity is urgently needed.

Trends in Measures of Child and Adolescent Well-being in the US From 2000 to 2019

Importance

Improving child and adolescent well-being is a critical public health goal, yet monitoring of this measure at the national level remains limited. Composite indices aggregate existing indicators from population data sources, but these indices currently have weaknesses that may inhibit widespread use.

Objective

To apply a novel, more child-centric index method to document changes in overall child and adolescent well-being in the US from 2000 to 2019, assess which states and racial and ethnic subpopulations experienced the greatest inequities in well-being, and identify the specific components associated with changes in the index over time.

Design, Setting, and Participants

This cross-sectional study applied the Child and Adolescent Thriving Index 1.0 to population-level data from 2000 to 2019 from several data sources. The area-based sampling frame for each of the component data sources allowed for nationally representative estimates for every year of the study period. The indices for every state and by race and ethnicity were also calculated. Due to the scope and breadth of the index components from across the life course, the Child and Adolescent Thriving Index 1.0 is intended to approximate the well-being of persons up to age 17 years. Data were analyzed from June 7, 2021, to March 17, 2022.

Exposures

Time in years.

Main Outcomes and Measures

The Child and Adolescent Thriving Index 1.0 is a weighted mean of 11 indicators intended to proxy well-being. The index comprises 11 components: non-low birth weight in neonates, preschool attendance in children aged 3 to 4 years, reading proficiency in fourth-grade students, math proficiency in eighth-grade students, food security in children younger than 18 years, general health status, nonobesity in high school students, nonsmoking in adolescents aged 12 to 17 years, non-marijuana use in adolescents aged 12 to 17 years, high school graduation in young adults aged 18 to 21 years, and nonarrest rate in children aged 10 to 17 years. The index ranges from 0 to 1, with 0 indicating minimum and 1 indicating maximum possible well-being at the population level.

Results

The Child and Adolescent Thriving Index 1.0 was applied to data from 12 320 national, state, and racial and ethnic population-level estimates. Over the study period, the Child and Adolescent Thriving Index 1.0 score increased from 0.780 points in 2000 to 0.843 points in 2019. Despite some convergence in geographic and racial and ethnic disparities, inequities were still present in 2019 in the South (-0.021 points) compared with the Northeast and among American Indian or Alaska Native (-0.079 points), Black (-0.053 points), and Latinx (-0.047 points) children and adolescents compared with White youths. Index components most associated with the overall increases in index scores of well-being were high school graduation rate (+0.028 units) and nonsmoking in adolescents (+0.022 units), amounting to 80.6% of the total increase.

Conclusions and Relevance

Results of this study suggest that child and adolescent well-being scores increased from 2000 to 2019, but substantial work remains to address persistent inequities across states and racial and ethnic populations. The newly developed Child and Adolescent Thriving Index 1.0 may be used in future work to evaluate which public policy types (economic, social, health care, housing, or education) are associated with higher levels of well-being.

Cross-sectional Comparison of Disparities by Race Using White vs Hispanic as Reference Among Children and Youths With Developmental Disabilities Referred for Speech Therapy

IMPORTANCE

Health care research on racial disparities among children and youths has historically used the White race as a reference category with which other racial and ethnic groups are compared, which may inadvertently set up Whiteness as a standard for health.

OBJECTIVE

To compare 2 interpretations of an analysis of racial disparities in speech therapy receipt among children and youths with developmental disabilities: a traditional, White-referenced analysis and a Hispanic majority-referenced analysis.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study used multiple logistic regression to analyze speech therapy referrals for children, adolescents, and transition age youths in an integrated health care system in Southern California from 2017 to 2020. Eligible participants were children and youths up to age 26 years with 1 or more diagnosed intellectual or developmental disability (eg, autism spectrum disorder, speech or language delay, developmental delay, Down syndrome, and others).

EXPOSURES

Child or youth race and ethnicity as reported by parents or caregivers (Asian, Black and African American, Hispanic and Latinx, American Indian or Alaskan Native, Native Hawaiian or Pacific Islander, White, multiple, and other).

MAIN OUTCOMES AND MEASURES

Receipt of speech therapy within 1 year of referral.

RESULTS

A total 66 402 referrals were included; 65 833 referrals (99.1%) were for children under age 17 years, 47 323 (71.3%) were for boys, and 39 959 (60.2%) were commercially insured. A majority of participants were identified as Hispanic (36 705 [55.3%]); 6167 (9.3%) were identified as Asian, 4810 (7.2%) as Black, and 14 951 (22.5%) as White. In the traditional racial disparities model where the reference category was White, referrals of children and youths who identified as Hispanic, Black, Pacific Islander, and other had lower odds of actual receipt of speech therapy compared with referrals for White children and youths (Hispanic: OR, 0.79; 95% CI, 0.75-0.83; Black: OR, 0.72; 95% CI, 0.66-0.78; Pacific Islander: OR, 0.74; 95% CI, 0.57-0.98). When using the majority race group (Hispanic) as the reference category, referrals for children and youths who identified as White (OR, 1.26; 95% CI, 1.20-1.30), Asian (OR, 1.21; 95% CI, 1.12-1.30), and multiracial (OR, 1.35; 95% CI, 1.08-1.71) had higher odds of resulting in actual service receipt in comparison with referrals for Hispanic children and youths.

CONCLUSIONS AND RELEVANCE

The cross-sectional study demonstrates the value of decentering Whiteness in interpreting racial disparities research and considering racial differences against multiple referents. Racial disparities researchers should consider investigating multiple between-group differences instead of exclusively using White as the default reference category.

Racism and perinatal health inequities research: where we have been and where we should go

For more than a century, substantial racial and ethnic inequities in perinatal health outcomes have persisted despite technical clinical advances and changes in public health practice that lowered the overall incidence of morbidity. Race is a social construct and not an inherent biologic or genetic reality; therefore, racial differences in health outcomes represent the consequences of structural racism or the inequitable distribution of opportunities for health along racialized lines. Clinicians and scientists in obstetrics and gynecology have a responsibility to work to eliminate health inequities for Black, Brown, and Indigenous birthing people, and fulfilling this responsibility requires actionable evidence from high-quality research. To generate this actionable evidence, the research community must realign paradigms, praxis, and infrastructure with an eye directed toward reproductive justice and antiracism. This special report offers a set of key recommendations as a roadmap to transform perinatal health research to achieve health equity. The recommendations are based on expert opinion and evidence presented at the State of the Science Research Symposium at the 41st Annual Pregnancy Meeting of the Society for Maternal-Fetal Medicine in 2021. Recommendations fall into 3 broad categories-changing research paradigms, reforming research praxis, and transforming research infrastructure-and are grounded in a historic foundation of the advances and shortcomings of clinical, public health, and sociologic scholarship in health equity. Changing the research paradigm requires leveraging a multidisciplinary perspective on structural racism; promoting mechanistic research that identifies the biologic pathways perturbed by structural racism; and utilizing conceptual models that account for racism as a factor in adverse perinatal outcomes. Changing praxis approaches to promote and engage multidisciplinary teams and to develop standardized guidelines for data collection will ensure that paradigm shifts center the historically marginalized voices of Black, Brown, and Indigenous birthing people. Finally, infrastructure changes that embed community-centered approaches are required to make shifts in paradigm and praxis possible. Institutional policies that break down silos and support true community partnership, and also the alignment of institutional, funding, and academic publishing objectives with strategic priorities for perinatal health equity, are paramount. Achieving health equity requires shifting the structures that support the ecosystem of racism that Black, Brown, and Indigenous birthing people must navigate before, during, and after childbearing. These structures extend beyond the healthcare system in which clinicians operate day-to-day, but they cannot be excluded from research endeavors to create the actionable evidence needed to achieve perinatal health equity.

A comprehensive framework for operationalizing structural racism in health research: The association between mass incarceration of Black people in the U.S. and adverse birth outcomes

Structural racism represents a key determinant of the racial health disparities that has characterized the U.S. population throughout its existence. While this reality has recently begun to gain increasing acknowledgment and acceptance within the health sciences, there are still considerable challenges related to defining the concept of structural racism and operationalizing it in empirical study. In this paper, building on the existing evidence base, we propose a comprehensive framework that centers structural racism in terms of its historical roots and continued manifestation in most domains of society, and offer solutions for the study of this phenomenon and the pathways that connect it to population-level health disparities. We showcase our framework by applying it to the known link between spatial and racialized clustering of incarceration - a previously cited representation of structural racism - and disparities in adverse birth outcomes. Through this process we hypothesize pathways that focus on social cohesion and community-level chronic stress, community crime and police victimization, as well as infrastructural community disinvestment. First, we contextualize these mechanisms within the relevant extant literature. Then, we make recommendations for future empirical pathway analyses. Finally, we identify key areas for policy, community, and individual-level interventions that target the impact of concentrated incarceration on birth outcomes among Black people in the U.S.

Prenatal acute thermophysiological stress and spontaneous preterm birth in Western Australia, 2000-2015: A space-time-stratified case-crossover analysis

Epidemiologic evidence on acute heat and cold stress and preterm birth (PTB) is inconsistent and based on ambient temperature rather than a thermophysiological index. The aim of this study was to use a spatiotemporal thermophysiological index (Universal Thermal Climate Index, UTCI) to investigate prenatal acute heat and cold stress exposures and spontaneous PTB. We conducted a space-time-stratified case-crossover analysis of 15,576 singleton live births with spontaneous PTB between January 1, 2000 and December 31, 2015 in Western Australia. The association between UTCI and spontaneous PTB was examined with distributed lag nonlinear models and conditional quasi-Poisson regression. Relative to the median UTCI, there was negligible evidence for associations at the lower range of exposures (1st to 25th percentiles). We found positive associations in the 95th and 99th percentiles, which increased with increasing days of heat stress in the first week of delivery. The relative risk (RR) and 95% confidence interval (CI) for the immediate (delivery day) and cumulative short-term (up to six preceding days) exposures to heat stress (99th percentile, 31.2 °C) relative to no thermal stress (median UTCI, 13.8 °C) were 1.01 (95% CI: 1.01, 1.02) and 1.05 (95% CI: 1.04, 1.06), respectively. Elevated effect estimates for heat stress were observed for the transition season, the year 2005-2009, male infants, women who smoked, unmarried, ≤ 19 years old, non-Caucasians, and high socioeconomic status. Effect estimates for cold stress (1st percentile, 0.7 °C) were highest in the transition season, during 2005-2009, and for married, non-Caucasian, and high socioeconomic status women. Acute heat stress was associated with an elevated risk of spontaneous PTB with sociodemographic vulnerability. Cold stress was associated with risk in a few vulnerable subgroups. Awareness and mitigation strategies such as hydration, reducing outdoor activities, affordable heating and cooling systems, and climate change governance may be beneficial. Further studies with the UTCI are required.

Maternal acute thermophysiological stress and stillbirth in Western Australia, 2000-2015: A space-time-stratified case-crossover analysis

BACKGROUND

The extreme thermal environment driven by climate change disrupts thermoregulation in pregnant women and may threaten the survival of the developing fetus.

OBJECTIVES

To investigate the acute effect of maternal exposure to thermophysiological stress (measured with Universal Thermal Climate Index, UTCI) on the risk of stillbirth and modification of this effect by sociodemographic disparities.

METHODS

We conducted a space-time-stratified case-crossover analysis of daily UTCI and 2835 singleton stillbirths between 1st January 2000 and 31st December 2015 across multiple small areas in Western Australia. Distributed lag non-linear models were combined with conditional quasi-Poisson regression to investigate the effects of the UTCI exposure from the preceding 6 days to the day of stillbirth. We also explored effect modification by fetal and maternal sociodemographic factors.

RESULTS

The median UTCI was 13.9 °C (representing no thermal stress) while the 1st and 99th percentiles were 0.7 °C (slight cold stress) and 31.7 °C (moderate heat stress), respectively. Relative to median UTCI, we found positive associations between acute maternal cold and heat stresses and higher risks of stillbirth, increasing with the intensity and duration of the thermal stress episodes. The cumulative risk from the preceding 6 days to the day of stillbirth was stronger in the 99th percentile (RR = 1.19, 95% CI: 1.17, 1.21) than the 1st percentile (RR = 1.14, 95% CI: 1.12, 1.15), relative to the median UTCI. The risks were disproportionately higher in term and male stillborn fetuses, smoking, unmarried, ≤19 years old, non-Caucasian, and low socioeconomic status mothers.

DISCUSSION

Acute maternal exposure to both cold and heat stresses may contribute to the risk of stillbirth and be exacerbated by sociodemographic disparities. The findings suggest public health attention, especially for the identified higher-risk groups. Future studies should consider the use of a human thermophysiological index, rather than surrogates such as ambient temperature.

Life expectancy by county, race, and ethnicity in the USA, 2000-19: a systematic analysis of health disparities

BACKGROUND

There are large and persistent disparities in life expectancy among racial-ethnic groups in the USA, but the extent to which these patterns vary geographically on a local scale is not well understood. This analysis estimated life expectancy for five racial-ethnic groups, in 3110 US counties over 20 years, to describe spatial-temporal variations in life expectancy and disparities between racial-ethnic groups.

METHODS

We applied novel small-area estimation models to death registration data from the US National Vital Statistics System and population data from the US National Center for Health Statistics to estimate annual sex-specific and age-specific mortality rates stratified by county and racial-ethnic group (non-Latino and non-Hispanic White [White], non-Latino and non-Hispanic Black [Black], non-Latino and non-Hispanic American Indian or Alaska Native [AIAN], non-Latino and non-Hispanic Asian or Pacific Islander [API], and Latino or Hispanic [Latino]) from 2000 to 2019. We adjusted these mortality rates to correct for misreporting of race and ethnicity on death certificates and then constructed abridged life tables to estimate life expectancy at birth.

FINDINGS

Between 2000 and 2019, trends in life expectancy differed among racial-ethnic groups and among counties. Nationally, there was an increase in life expectancy for people who were Black (change 3·9 years [95% uncertainty interval 3·8 to 4·0]; life expectancy in 2019 75·3 years [75·2 to 75·4]), API (2·9 years [2·7 to 3·0]; 85·7 years [85·3 to 86·0]), Latino (2·7 years [2·6 to 2·8]; 82·2 years [82·0 to 82·5]), and White (1·7 years [1·6 to 1·7]; 78·9 years [78·9 to 79·0]), but remained the same for the AIAN population (0·0 years [-0·3 to 0·4]; 73·1 years [71·5 to 74·8]). At the national level, the negative difference in life expectancy for the Black population compared with the White population decreased during this period, whereas the negative difference for the AIAN population compared with the White population increased; in both cases, these patterns were widespread among counties. The positive difference in life expectancy for the API and Latino populations compared with the White population increased at the national level from 2000 to 2019; however, this difference declined in a sizeable minority of counties (615 [42·0%] of 1465 counties) for the Latino population and in most counties (401 [60·2%] of 666 counties) for the API population. For all racial-ethnic groups, improvements in life expectancy were more widespread across counties and larger from 2000 to 2010 than from 2010 to 2019.

INTERPRETATION

Disparities in life expectancy among racial-ethnic groups are widespread and enduring. Local-level data are crucial to address the root causes of poor health and early death among disadvantaged groups in the USA, eliminate health disparities, and increase longevity for all.

FUNDING

National Institute on Minority Health and Health Disparities; National Heart, Lung, and Blood Institute; National Cancer Institute; National Institute on Aging; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Office of Disease Prevention; and Office of Behavioral and Social Science Research, US National Institutes of Health.