Advancing the study of health inequality: Fundamental causes as systems of exposure

Capturing the implications of residential segregation for the dynamics of infectious disease transmission

Occupational and residential segregation and other manifestations of social and economic inequity drive of racial and socioeconomic inequities in infection, severe disease, and death from a wide variety of infections including SARS-CoV-2, influenza, HIV, tuberculosis, and many others. Despite a deep and long-standing quantitative and qualitative literature on infectious disease inequity, mathematical models that give equally serious attention to the social and biological dynamics underlying infection inequity remain rare. In this paper, we develop a simple transmission model that accounts for the mechanistic relationship between residential segregation on inequity in infection outcomes. We conceptualize segregation as a high-level, fundamental social cause of infection inequity that impacts both who-contacts-whom (separation or preferential mixing) as well as the risk of infection upon exposure (vulnerability). We show that the basic reproduction number, ℛ 0 , and epidemic dynamics are sensitive to the interaction between these factors. Specifically, our analytical and simulation results and that separation alone is insufficient to explain segregation-associated differences in infection risks, and that increasing separation only results in the concentration of risk in segregated populations when it is accompanied by increasing vulnerability. Overall, this work shows why it is important to carefully consider the causal linkages and correlations between high-level social determinants - like segregation - and more-proximal transmission mechanisms when either crafting or evaluating public health policies. While the framework applied in this analysis is deliberately simple, it lays the groundwork for future, data-driven explorations of the mechanistic impact of residential segregation on infection inequities.

Elite class self-interest, socioeconomic inequality and U.S. population health

Class-based perspectives on the persistent social gradients in health within modern welfare states largely focus on the adverse consequences of unfettered neoliberalism and entrenched meritocratic socioeconomic selection. Namely, neoliberal-driven economic inequality has fuelled resentment and stress among lower-status groups, while these groups have become more homogeneous with regard to health behaviours and outcomes. We synthesise several sociological and historical literatures to argue that, in addition to these class-based explanations, socioeconomic inequality may contribute to persistent social gradients in health due to elite class self-interest-in particular elites' preferences for overdiagnosis, overprescription and costly high-technology medical treatments over disease prevention, and for increased tolerance for regulatory capture. We demonstrate that this self-interest provides parsimonious explanations for several contemporary trends in U.S. health inequality including (A) supply-side factors in drug-related deaths, (B) longitudinal trends in the social gradients of obesity and chronic disease mortality and (C) the immigrant health advantage. We conclude that sociological theories of elite class self-interest usefully complement theories of the psychosocial effects of neoliberalism and of meritocratic social selection while answering recent calls for research on the role advantaged groups play in generating inequalities in health, and for research that moves beyond technological determinism in health sociology.

Modifying effect of urban parks on socioeconomic inequalities in diabetes prevalence: a cross-sectional population study of Madrid City, Spain

BACKGROUND

Evidence has shown contradicting results on how the density of urban green spaces may reduce socioeconomic inequalities in type 2 diabetes (equigenic hypothesis). The aim of this study is to test whether socioeconomic inequalities in diabetes prevalence are modified by park density.

METHODS

We designed a population-wide cross-sectional study of all adults registered in the primary healthcare centres in the city of Madrid, Spain (n=1 305 050). We obtained georeferenced individual-level data from the Primary Care Electronic Health Records, and census-tract level data on socioeconomic status (SES) and park density. We modelled diabetes prevalence using robust Poisson regression models adjusted by age, country of origin, population density and including an interaction term with park density, stratified by gender. We used this model to estimate the Relative Index of Inequality (RII) at different park density levels.

FINDINGS

We found an overall RII of 2.90 (95% CI 2.78 to 3.02) and 4.50 (95% CI 4.28 to 4.74) in men and women, respectively, meaning that the prevalence of diabetes was three to four and a half times higher in low SES compared with high SES areas. These inequalities were wider in areas with higher park density for both men and women, with a significant interaction only for women (p=0.008).

INTERPRETATION

We found an inverse association between SES and diabetes prevalence in both men and women, with wider inequalities in areas with more parks. Future works should study the mechanisms of these findings, to facilitate the understanding of contextual factors that may mitigate diabetes inequalities.

Turning the Health Equity Lens to Diversity in Asian American Health Profiles

The monolithic misrepresentation of Asian American (AsAm) populations has maintained assumptions that AsAm people are not burdened by health disparities and social and economic inequities. However, the story is more nuanced. We critically review AsAm health research to present knowledge of AsAm health profiles from the past two decades and present findings and opportunities across three topical domains: (a) general descriptive knowledge, (b) factors affecting health care uptake, and (c) effective interventions. Much of the literature emphasized underutilization of health care services; low knowledge and awareness among AsAms about health-related risk factors, prevention, diagnosis, and treatment; inadequate efforts by health systems to improve language access, provider-patient communication, and trust; and the critical roles of community- and faith-based organizations and leaders in health promotion initiatives. Future opportunities for AsAm health research will require adoption of and significant investment in community-engaged research infrastructure to increase representation, funding, and research innovation for AsAm communities.

Are There Regional Differences in Mental Health among Black Americans? An Exploration of Explanatory Mechanisms

Using data from the National Survey of American Life (NSAL) (2001-2003), we examine regional differences in past-year anxiety disorder and past-year major depressive episodes among a geographically diverse sample of Black Americans (N = 3,672). We find that Black Americans residing in the South experience a mental health advantage over Black Americans living in other parts of the country, experiencing lower rates of both anxiety disorder and past-year major depression. We also examine the extent to which stress exposure, religious involvement, and neighborhood contexts help explain any regional differences. We find that stress exposure helps to explain much of the differences observed across regions, while religious involvement and neighborhood contexts help explain observed regional differences to a lesser extent. These findings highlight the importance of considering regional contexts in understanding intra-racial differences in mental health.

How are socioeconomic inequalities in preterm birth explained by maternal smoking and maternal body mass index: A mediation analysis

BACKGROUND

Preterm birth affects between 7% and 8% of births in the UK and is a leading cause of infant mortality and childhood disability. Prevalence of preterm birth has been shown to have significant and consistent socioeconomic inequalities.

OBJECTIVE

To estimate how much of the association between socioeconomic status (SES) and gestational age at birth is mediated by maternal smoking status and maternal body mass index (BMI).

METHODS

Retrospective cohort study of a maternity hospital in the UK. The analysis included all singleton live births between April 2009 and March 2020 to mothers 18 years old and over, between 22 weeks and 43 weeks gestation. We estimate two measures of mediation for four low gestational age categories: (i) The proportion eliminated the percentage of the effect of SES on low gestational age at birth that would be eliminated by removing the mediators, through the Controlled Direct Effects estimated using serial log-binomial regressions; and (ii) The proportion mediated is the percentage of the effect removed by equalising the distribution of the mediators across socioeconomic groups, estimated using Interventional Disparity Measures calculated through Monte Carlo simulations.

RESULTS

Overall, 81,219 births were included, with 63.7% low SES. The risk of extremely (0.3% of all births), very (0.7%) and moderately preterm birth (6.3%) was 1.71 (95% Confidence Interval [CI] 1.29, 2.31), 1.43 (95% CI 1.18, 1.73) and 1.26 (95% CI 1.19, 1.34) times higher in the low SES, compared to higher SES respectively. The proportion of this inequality eliminated by removing both maternal smoking and BMI was 43.4% for moderately preterm births. The proportion mediated for smoking was 33.9%, 43.0% and 48.4% respectively.

CONCLUSIONS

Smoking during pregnancy is a key mediator of inequalities in preterm birth, representing an area for local action to reduce social inequalities in preterm birth.

Higher-risk SIPAT score predicts increased risk of long-term mortality in orthotopic heart transplant recipients

BACKGROUND

Orthotopic heart transplantation (OHT) improves survival in eligible patients. Organ scarcity necessitates extensive clinical and psychosocial evaluations before listing. The Stanford Integrated Psychosocial Assessment for Transplant (SIPAT) predicts risk for poor psychosocial outcomes and morbidity in the first year post-transplant, yet it is unknown whether it predicts long-term outcomes.

METHODS

Blinded examiners obtained data from a retrospective cohort of 51 OHT recipients from a high-volume center. Patients with "Excellent" or "Good" SIPAT score indicating low psychosocial risk for transplant (E/G) were compared with those who met "Minimum Acceptable Criteria" or were "High Risk" (MAC/HR). Associations were examined between SIPAT group and outcomes.

RESULTS

MAC/HR versus E/G recipients had significantly reduced survival in the 10 years post-OHT (mean 6.7 vs 8.8 years, p = 0.027; 55% vs 82% survival proportions, p = 0.037). MAC/HR patients were more likely to live in a county with greater income inequality (p = 0.025) and have psychiatric history pre-OHT (p = 0.046). Both groups had otherwise similar demographics and medical history. A lower proportion of MAC/HR patients adhered to medications post-OHT and a greater proportion had psychiatric illness, though differences were not significant.

CONCLUSIONS

Higher-risk SIPAT scores predict reduced long-term survival post-OHT. Further efforts are crucial to improve outcomes in higher-risk patients.

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.

Premorbid Sociodemographic Status and Multiple Sclerosis Outcomes in a Universal Health Care Context

Importance

Multiple sclerosis (MS) severity may be informed by premorbid sociodemographic factors.

Objective

To determine whether premorbid education, income, and marital status are associated with future MS disability and symptom severity, independent of treatment, in a universal health care context.

Design, Setting, and Participants

This nationwide observational cohort study examined data from the Swedish MS Registry linked to national population registries from 2000 to 2020. Participants included people with MS onset from 2005 to 2015 and of working age (aged 23 to 59 years) 1 year and 5 years preceding disease onset.

Exposures

Income quartile, educational attainment, and marital status measured at 1 and 5 years preceding disease onset.

Main Outcome and Measures

Repeated measures of Expanded Disability Status Scale (EDSS) scores and patient-reported Multiple Sclerosis Impact Scale (MSIS-29) scores. Models were adjusted for age, sex, relapses, disease duration, and treatment exposure. Secondary analyses further adjusted for comorbidity. All analyses were stratified by disease course (relapse onset and progressive onset).

Results

There were 4557 patients (mean [SD] age, 37.5 [9.3] years; 3136 [68.8%] female, 4195 [92.1%] relapse-onset MS) with sociodemographic data from 1-year preonset of MS. In relapse-onset MS, higher premorbid income and education correlated with lower disability (EDSS, -0.16 [95% CI, -0.12 to -0.20] points) per income quartile; EDSS, -0.47 [95% CI, -0.59 to -0.35] points if tertiary educated), physical symptoms (MSIS-29 physical subscore, -14% [95% CI, -11% to -18%] per income quartile; MSIS-29 physical subscore, -43% [95% CI, -35% to -50%] if tertiary educated), and psychological symptoms (MSIS-29 psychological subscore, -12% [95% CI, -9% to -16%] per income quartile; MSIS-29 psychological subscore, -25% [95% CI, -17% to -33%] if tertiary educated). Marital separation was associated with adverse outcomes (EDSS, 0.34 [95% CI, 0.18 to 0.51]; MSIS-29 physical subscore, 35% [95% CI, 12% to 62%]; MSIS-29 psychological subscore, 25% [95% CI, 8% to 46%]). In progressive-onset MS, higher income correlated with lower EDSS (-0.30 [95% CI, -0.48 to -0.11] points per income quartile) whereas education correlated with lower physical (-34% [95% CI, -53% to -7%]) and psychological symptoms (-33% [95% CI, -54% to -1%]). Estimates for 5-years preonset were comparable with 1-year preonset, as were the comorbidity-adjusted findings.

Conclusions and relevance

In this cohort study of working-age adults with MS, premorbid income, education, and marital status correlated with disability and symptom severity in relapse-onset and progressive-onset MS, independent of treatment. These findings suggest that socioeconomic status may reflect both structural and individual determinants of health in MS.

Socioeconomic and Racial/Ethnic Disparities in Recovery from Childhood Behavioral or Conduct Problems: Evidence from a Nationally Representative Sample of 3-17 Years Old US Children

Our study provides nationally-generalizable evidence on the racial/ethnic and socioeconomic disparities in diagnosis and recovery from childhood behavioral or conduct problems. We pooled data from 4 years (2016-2019) of the National Survey of Children's Health (NSCH) for 3 to 17 years old US children (N = 114,476). We performed several logistic regression models using complex survey data analysis statistical methodologies to estimate nationally representative and generalizable results in the Stata MP 16 program. About 20.1% of 3-17 years old US children previously diagnosed with behavioral or conduct problems no longer had the current diagnosis (were recovered). Hispanic children [Odds ratio (OR) 0.77, 95% Confidence Interval (CI) 0.65-0-95], immigrant children or children of immigrant parents (first or second generation immigrant children), and children from high-income families [200-399% Federal Poverty Level (FPL)] were about 23%, 38%, and 21% less likely than non-Hispanic White children, children of US native parents, and children with a family income of below 100% FPL to be currently diagnosed with behavioral or conduct problems, respectively. Conversely, Non-Hispanic Black and Hispanic children were about 50% and 40% more likely than non-Hispanic White children to recover from a past diagnosis. Moreover, children from higher-income families (at or above 300% of FPL) were between 1.59 to 1.79 times more likely than those from low-income families (below 100% FPL) to recover from a past diagnosis. Racial/ethnic and socioeconomic disparities in diagnosing appear to persist in recovering from behavioral or conduct problems.

Invited Commentary: To Make Long-Term Gains Against Infection Inequity, Infectious Disease Epidemiology Needs to Develop a More Sociological Imagination

In a recent article in the Journal, Noppert et al. (Am J Epidemiol. 2023;192(3):475-482) articulated in detail the mechanisms connecting high-level "fundamental social causes" of health inequity to inequitable infectious disease outcomes, including infection, severe disease, and death. In this commentary, we argue that while intensive focus on intervening mechanisms is welcome and necessary, it cannot occur in isolation from examination of the way that fundamental social causes-including racism, socioeconomic inequity, and social stigma-sustain infection inequities even when intervening mechanisms are addressed. We build on the taxonomy of intervening mechanisms laid out by Noppert et al. to create a road map for strengthening the connection between fundamental cause theory and infectious disease epidemiology and discuss its implications for future research and intervention.

Operationalizing racialized exposures in historical research on anti-Asian racism and health: a comparison of two methods

Background

Addressing contemporary anti-Asian racism and its impacts on health requires understanding its historical roots, including discriminatory restrictions on immigration, citizenship, and land ownership. Archival secondary data such as historical census records provide opportunities to quantitatively analyze structural dynamics that affect the health of Asian immigrants and Asian Americans. Census data overcome weaknesses of other data sources, such as small sample size and aggregation of Asian subgroups. This article explores the strengths and limitations of early twentieth-century census data for understanding Asian Americans and structural racism.

Methods

We used California census data from three decennial census spanning 1920-1940 to compare two criteria for identifying Asian Americans: census racial categories and Asian surname lists (Chinese, Indian, Japanese, Korean, and Filipino) that have been validated in contemporary population data. This paper examines the sensitivity and specificity of surname classification compared to census-designated "color or race" at the population level.

Results

Surname criteria were found to be highly specific, with each of the five surname lists having a specificity of over 99% for all three census years. The Chinese surname list had the highest sensitivity (ranging from 0.60-0.67 across census years), followed by the Indian (0.54-0.61) and Japanese (0.51-0.62) surname lists. Sensitivity was much lower for Korean (0.40-0.45) and Filipino (0.10-0.21) surnames. With the exception of Indian surnames, the sensitivity values of surname criteria were lower for the 1920-1940 census data than those reported for the 1990 census. The extent of the difference in sensitivity and trends across census years vary by subgroup.

Discussion

Surname criteria may have lower sensitivity in detecting Asian subgroups in historical data as opposed to contemporary data as enumeration procedures for Asians have changed across time. We examine how the conflation of race, ethnicity, and nationality in the census could contribute to low sensitivity of surname classification compared to census-designated "color or race." These results can guide decisions when operationalizing race in the context of specific research questions, thus promoting historical quantitative study of Asian American experiences. Furthermore, these results stress the need to situate measures of race and racism in their specific historical context.

Is patients' rurality associated with in-hospital sepsis death in US hospitals?

Background

The focus of this study was to explore the association of patients' rurality and other patient and hospital-related factors with in-hospital sepsis mortality to identify possible health disparities across United States hospitals.

Methods

The National Inpatient Sample was used to identify nationwide sepsis patients (n = 1,977,537, weighted n = 9,887,682) from 2016 to 2019. We used multivariate survey logistic regression models to identify predictors for how patients' rurality is associated with in-hospital death.

Findings

During the study periods, in-hospital death rates among sepsis inpatients continuously decreased (11.3% in 2016 to 9.9% in 2019) for all rurality levels. Rao-Schott Chi-Square tests demonstrated that certain patient and hospital factors had varied in-hospital death rates. Multivariate survey logistic regressions suggested that rural areas, minorities, females, older adults, low-income, and uninsured patients have higher odds of in-hospital mortality. Further, specific census divisions like New England, Middle Atlantic, and East North Central had greater in-hospital sepsis death odds.

Conclusion

Rurality was associated with increased in-hospital sepsis death across multiple patient populations and locations. Further, rurality in New England, Middle Atlantic, and East North Central locations is exceptionally high odds. In addition, minority races in rural areas also have an increased odds of in-hospital death. Therefore, rural healthcare requires a more significant influx of resources and should also include assessing patient-related factors.

Engaging Men of Diverse Racial and Ethnic Groups With Advanced Prostate Cancer in the Design of an mHealth Diet and Exercise Intervention: Focus Group Study

BACKGROUND

Healthy diet and exercise can improve quality of life and prognosis among men with prostate cancer. Understanding the perceived barriers to lifestyle change and patient preferences in a diverse cohort of men with prostate cancer is necessary to inform mobile health (mHealth) lifestyle interventions and increase health equity.

OBJECTIVE

We conducted a multisite study to understand the preferences, attitudes, and health behaviors related to diet and lifestyle in this patient population. This report focuses on the qualitative findings from 4 web-based focus groups comprising a racially and ethnically diverse group of patients with advanced prostate cancer who are on androgen deprivation therapy.

METHODS

We used grounded theory analyses including open, axial, and selective coding to generate codes. Qualitative data were analyzed as a whole rather than by focus group to optimize data saturation and the transferability of results. We present codes and themes that emerged for lifestyle intervention design and provide recommendations and considerations for future mHealth intervention studies.

RESULTS

Overall, 14 men participated in 4 racially and ethnically concordant focus groups (African American or Black: 3/14, 21%; Asian American: 3/14, 21%; Hispanic or Latino: 3/14, 21%; and White: 5/14, 36%). Analyses converged on 7 interwoven categories: context (home environment, access, competing priorities, and lifestyle programs), motivation (accountability, discordance, feeling supported, fear, and temptation), preparedness (health literacy, technological literacy, technological preferences, trust, readiness to change, identity, adaptability, and clinical characteristics), data-driven design (education, psychosocial factors, and quality of life), program mechanics (communication, materials, customization, and being holistic), habits (eg, dietary habits), and intervention impressions. These results suggest actionable pathways to increase program intuitiveness. Recommendations for future mHealth intervention design and implementation include but are not limited to assessment at the individual, household, and neighborhood levels to support a tailored intervention; prioritization of information to disseminate based on individuals' major concerns and the delivery of information based on health and technological literacy and communication preferences; prescribing a personalized intervention based on individuals' baseline responses, home and neighborhood environment, and support network; and incorporating strategies to foster engagement (eg, responsive and relevant feedback systems) to aid participant decision-making and behavior change.

CONCLUSIONS

Assessing a patient's social context, motivation, and preparedness is necessary when tailoring a program to each patient's needs in all racial and ethnic groups. Addressing the patients' contexts and motivation and preparedness related to diet and exercise including the household, access (to food and exercise), competing priorities, health and technological literacy, readiness to change, and clinical characteristics will help to customize the intervention to the participant. These data support a tailored approach leveraging the identified components and their interrelationships to ensure that mHealth lifestyle interventions will engage and be effective in racially and ethnically diverse patients with cancer.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05324098; https://clinicaltrials.gov/ct2/show/NCT05324098.

The intersection of neighborhood and race in urban adolescent health risk behaviors

AIMS

Racial variability in associations of neighborhood socioeconomic disadvantage and neighborhood disorder with adolescent health risk behaviors remains under-researched, which this study examined over 1 year among racially diverse adolescents.

METHODS

High school students (N = 345; 18% Asian, 44% Black, 16% Multiracial, 22% White) completed surveys assessing neighborhood socioeconomic disadvantage and neighborhood disorder, and health risk behaviors (lifetime alcohol, cannabis, and cigarette use, number of sexual partners) at baseline (Year 1) and 1-year follow-up (Year 2).

RESULTS

Asian, Black, and Multiracial adolescents were more likely to endorse health risk behaviors in Year 2 compared to White adolescents living in similarly disadvantaged neighborhoods at Year 1. Associations of neighborhood disorder with health risk behavior did not differ by race.

CONCLUSION

Neighborhood socioeconomic disadvantage (but not neighborhood disorder) may predispose Asian, Black, and Multiracial adolescents to health risk behaviors. Findings may inform interventions to address racial disparities in adolescent health risk behaviors.

Socioeconomic inequality in the worsening of psychosocial wellbeing via disrupted social conditions during COVID-19 among adolescents in Hong Kong: self-resilience matters

Background

Adolescents, especially the socioeconomically disadvantaged, are facing devastating psychosocial impact of the COVID-19 pandemic during their critical developmental period. This study aims to (i) examine the socioeconomic patterning of the worsening of psychosocial wellbeing, (ii) delineate the underlying mediating factors (i.e., overall worry about COVID-19, family's financial difficulty, learning problems, and loneliness), and (iii) explore the moderating effect of resilience in the inter-relationship among adolescents under COVID-19.

Methods

Based on maximum variation sampling of 12 secondary schools of diverse socioeconomic background in Hong Kong, 1018 students aged 14-16 years were recruited and completed the online survey between September and October 2021. Multi-group structural equation modeling (SEM) by resilience levels was employed to delineate the pathways between socioeconomic position and the worsening of psychosocial wellbeing.

Results

SEM analysis showed a significant total effect of socioeconomic ladder with the worsening of psychosocial wellbeing during the pandemic in the overall sample (β = -0.149 [95% CI = -0.217 - -0.081], p < 0.001), which operated indirectly through learning problems and loneliness (both p < 0.001 for their indirect effects). Consistent pattern with stronger effect size was observed in the lower resilience group; nonetheless, the associations were substantially mitigated in the higher resilience group.

Conclusion

In addition to facilitating self-directed learning and easing loneliness during the pandemic, evidence-based strategies to build up resilience among adolescents are critical to buffer against the adverse socioeconomic and psychosocial impacts of the pandemic or other potential catastrophic events in the future.

Neighborhood factors and triple negative breast cancer: The role of cumulative exposure to area-level risk factors

BACKGROUND

Despite similar incidence rates among Black and White women, breast cancer mortality rates are 40% higher among Black women. More than half of the racial difference in breast cancer mortality can be attributed to triple negative breast cancer (TNBC), an aggressive subtype of invasive breast cancer that disproportionately affects Black women. Recent research has implicated neighborhood conditions in the etiology of TNBC. This study investigated the relationship between cumulative neighborhood-level exposures and TNBC risk.

METHODS

This single-institution retrospective study was conducted on a cohort of 3316 breast cancer cases from New Castle County, Delaware (from 2012 to 2020), an area of the country with elevated TNBC rates. Cases were stratified into TNBC and "Non-TNBC" diagnosis and geocoded by residential address. Neighborhood exposures included census tract-level measures of unhealthy alcohol use, metabolic dysfunction, breastfeeding, and environmental hazards. An overall cumulative risk score was calculated based on tract-level exposures.

RESULTS

Univariate analyses showed each tract-level exposure was associated with greater TNBC odds. In multivariate analyses that controlled for patient-level race and age, tract-level exposures were not associated with TNBC odds. However, in a second multivariate model that included patient-level variables and considered tract-level risk factors as a cumulative exposure risk score, each one unit increase in cumulative exposure was significantly associated with a 10% increase in TNBC odds. Higher cumulative exposure risk scores were found in census tracts with relatively high proportions of Black residents.

CONCLUSIONS

Cumulative exposure to neighborhood-level risk factors that disproportionately affect Black communities was associated with greater TNBC risk.

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.

How Cumulative Statistics Can Mislead: The Temporal Dynamism of Sex Disparities in COVID-19 Mortality in New York State

Overall, men have died from COVID-19 at slightly higher rates than women. But cumulative estimates of mortality by sex may be misleading. We analyze New York State COVID-19 mortality by sex between March 2020 and August 2021, demonstrating that 72.7% of the total difference in the number of COVID-19 deaths between women and men was accrued in the first seven weeks of the pandemic. Thus, while the initial surge in COVID-19 mortality was characterized by stark sex disparities, this article shows that disparities were greatly attenuated in subsequent phases of the pandemic. Investigating changes over time could help illuminate how contextual factors contributed to the development of apparent sex disparities in COVID-19 outcomes.

Time availability as a mediator between socioeconomic status and health

This study shows that time availability is a significant mediator between SES and health. I draw on representative survey data from the Canadian Multinational Time Use Survey and supplement this data source with a second data set containing localized sociodemographic and time availability measures. In addition to testing existing time scarcity measures, I also propose a broader set of new, more inclusive measures. Analyses involve two stages. First, binary logistic regressions evaluate statistically significant relationships. The second stage uses mediation analyses to assess whether time availability is statistically significant in mediating the relationship between SES and self-reported health. I compute direct, indirect, and total effects, independently for each of the objective and subjective time availability measures, for both the nationally representative sample and for the localized sample. My results show that both time scarcity and time excess are important when examining the mechanisms linking SES and health. For example, 12 percent of the effect of household-level SES on health is via discretionary time availability. Further, over 10 percent of the effect of neighborhood-level SES on health is via subjective time scarcity. Objective time poverty mediates about 9 percent. 7.3 percent of the effect of SES on health is via objective time excess. Considering the differing temporal needs of marginalized populations, this work has important health policy implications for sociotemporal disparities in health.

Changes in Racial/Ethnic Disparities in Opioid-Related Outcomes in Urban Areas during the COVID-19 Pandemic: A Rapid Review of the Literature

Opioid use disorders (OUDs) are increasingly common among minoritized populations, who have historically experienced limited access to healthcare, a situation that may have worsened during the COVID-19 pandemic. Using a structured keyword search in Pubmed, we reviewed the literature to synthesize the evidence on changes in racial/ethnic disparities in OUD-related outcomes in urban areas during the COVID-19 pandemic in the US. Nine articles were included in the final analysis. Six found increases in OUD-related outcomes during the pandemic, with four showing a widening of disparities. Results also point to the worsening of opioid outcomes among Black and Latinx individuals related to shelter-in-place or stay-at-home orders. Studies examining the use of telehealth and access to OUD treatment showed that minoritized groups have benefited from telehealth programs. The limited number of studies in a small number of jurisdictions indicate a gap in research examining the intersection between COVID-19 and OUD-related outcomes with a focus on disparities. More research is needed to understand the impact of the COVID-19 pandemic and related policies on OUD outcomes among racial/ethnic minoritized groups, including examining the impact of service disruptions on vulnerable groups with OUD.

Looking back and moving forward: Addressing health inequities after COVID-19

We will likely look back on 2020 as a turning point. The pandemic put a spotlight on existing societal issues, accelerated the pace of change in others, and created some new ones too. For example, concerns about inequalities in health by income and race are not new, but they became more apparent to a larger number of people during 2020. The speed and starkness of broadening societal conversation, including beyond the direct effects of COVID-19, create an opportunity and motivation to reassess our understanding of health. Perhaps more importantly, it is an opportunity to reduce inequities in who has access to, who uses, and who benefits from the resources that promote health and well-being. To this end, we offer three questions to guide thinking about health and health inequities after 2020: (1) what do we mean by "health" and "health inequality and inequity"? (2) what are the structures and policies we put in place to support or promote health, and how effective are they? And (3) who has the power to shape structures and policies, and whose interests do those structures and policies serve?

Multidimensional structural racism predicts birth outcomes for Black and White Minnesotans

Objective

The objective of this study is to determine the linkage between multidimensional structural racism typologies and preterm birth (PTB), low birthweight (LBW), and small‐for‐gestational‐age (SGA) birth among infants of White, US‐born Black, and foreign‐born Black pregnant people in Minnesota.

Data Sources

The measures of structural racism were based on the 2017 American Community Survey 5‐year estimates and the 2017 jail incarceration data from the Vera Institute of Justice. Birth outcomes of infants born in 2018 were based on birth records from the Minnesota Department of Health.

Study Design

We conducted a latent class analysis to identify multidimensional structural racism typologies in 2017 and related these typologies to birth outcomes of pregnant people who gave birth in Minnesota in 2018 using Vermunt's 3‐step approach. Racial group‐specific age‐adjusted risks of PTB, LBW, and SGA by structural racism typologies were estimated.

Data Collection

Study data were from public sources.

Principal Findings

Our analysis identified three multidimensional structural racism typologies in Minnesota in 2017. These typologies can have high structural racism in some dimensions but low in others. The interactive patterns among various dimensions cannot simply be classified as “high” (i.e., high structural racism in all dimensions), “medium,” or “low.” The risks of PTB, LBW, and SGA for US‐born Black pregnant Minnesotans were always higher than for their White counterparts regardless of the typologies in which they lived during pregnancy. Furthermore, these excess risks among US‐born Black pregnant people did not vary significantly across the typologies. We did not find clear patterns when comparing the predicted risks for infants of US‐ and foreign‐born Black pregnant people.

Conclusion

Multidimensional structural racism increases the risks of adverse birth outcomes for US‐born Black Minnesotans. Policy interventions to dismantle structural racism and eliminate birth inequities must be multi‐sectoral as changes in one or a few dimensions, but not all, will unlikely reduce birth inequities.

Measuring Structural Racism: A Guide for Epidemiologists and Other Health Researchers

There have been over 100 years of literature discussing the deleterious influence of racism on health. Much of the literature describes racism as a driver of social determinants of health, such as housing, employment, income, and education. More recently, increased attention has been given to measuring the structural nature of a system that advantages one racialized group over others rather than solely relying on individual acknowledgement of racism. Despite these advances, there is still a need for methodological and analytical approaches to complement the aforementioned. This commentary calls on epidemiologists and other health researchers at large to engage the discourse on measuring structural racism. First, we address the conflation between race and racism in epidemiologic research. Next, we offer methodological recommendations (linking of interdisciplinary variables and data sets and leveraging mixed-method and life-course approaches) and analytical recommendations (integration of mixed data, use of multidimensional models) that epidemiologists and other health researchers may consider in health equity research. The goal of this commentary is to inspire the use of up-to-date and theoretically driven approaches to increase discourse among public health researchers on capturing racism as well as to improve evidence of its role as the fundamental cause of racial health inequities.

The harmful effects of partisan polarization on health

Partisan polarization significantly drives stress and anxiety among Americans, and recent aggregate-level studies suggest polarization may be shaping their health. This individual-level study uses a new representative dataset of 2,752 US residents surveyed between December 2019 and January 2020, some US residents report more days of poor physical and mental health per month than others. Using negative binomial models, zero inflated models, and visualizations, we find evidence that polarization is linked to declines in physical health: the more distant an individual feels politically from the average voter in their state, the worse health outcomes he or she reports. By uncovering the individual-level political correlates of health, this study aims to encourage further study and attention to the broader consequences of political polarization on American communities.

Reproductive decision-making of Black women living with HIV: A systematic review

BACKGROUND

Black women living with HIV account for a higher proportion of new HIV diagnoses than other groups. These women experience restricted access to reproductive services and inadequate support from healthcare providers because their position in society is based on their sexual health and social identity in the context of this stigmatizing chronic disease. By recognizing the analytical relevance of intersectionality, the reproductive decision-making of Black women can be explored as a social phenomenon of society with varied positionality.

OBJECTIVE

The purpose of this review was to synthesize the evidence about the reproductive decision-making of Black women living with HIV in high-income countries from the beginning of the HIV epidemic to the present.

METHODS

This systematic review was guided by the JBI evidence synthesis recommendations. Searches were completed in seven databases from 1985 to 2021, and the review protocol was registered with PROSPERO (CRD420180919).

RESULTS

Of 3503 records, 22 studies were chosen for synthesis, including 19 observational and three qualitative designs. Nearly, all studies originated from the United States; the earliest was reported in 1995. Few studies provided detailed sociodemographic data or subgroup analysis focused on race or ethnicity. Influencing factors for reproductive decision-making were organized into the following seven categories: ethnicity, race, and pregnancy; religion and spirituality; attitudes and beliefs about antiretroviral therapy; supportive people; motherhood and fulfillment; reproductive planning; and health and wellness.

CONCLUSION

No major differences were identified in the reproductive decision-making of Black women living with HIV. Even though Black women were the largest group of women living with HIV, no studies reported a subgroup analysis, and few studies detailed sociodemographic information specific to Black women. In the future, institutional review boards should require a subgroup analysis for Black women when they are included as participants in larger studies of women living with HIV.

Racial disparities in triple negative breast cancer: toward a causal architecture approach

BACKGROUND

Triple negative breast cancer (TNBC) is an aggressive subtype of invasive breast cancer that disproportionately affects Black women and contributes to racial disparities in breast cancer mortality. Prior research has suggested that neighborhood effects may contribute to this disparity beyond individual risk factors.

METHODS

The sample included a cohort of 3316 breast cancer cases diagnosed between 2012 and 2020 in New Castle County, Delaware, a geographic region of the US with elevated rates of TNBC. Multilevel methods and geospatial mapping evaluated whether the race, income, and race/income versions of the neighborhood Index of Concentration at the Extremes (ICE) metric could efficiently identify census tracts (CT) with higher odds of TNBC relative to other forms of invasive breast cancer. Odds ratios (OR) and 95% confidence intervals (CI) were reported; p-values < 0.05 were significant. Additional analyses examined area-level differences in exposure to metabolic risk factors, including unhealthy alcohol use and obesity.

RESULTS

The ICE-Race, -Income-, and Race/Income metrics were each associated with greater census tract odds of TNBC on a bivariate basis. However, only ICE-Race was significantly associated with higher odds of TNBC after adjustment for patient-level age and race (most disadvantaged CT: OR = 2.09; 95% CI 1.40-3.13), providing support for neighborhood effects. Higher counts of alcohol and fast-food retailers, and correspondingly higher rates of unhealthy alcohol use and obesity, were observed in CTs that were classified into the most disadvantaged ICE-Race quintile and had the highest odds of TNBC.

CONCLUSION

The use of ICE can facilitate the monitoring of cancer inequities and advance the study of racial disparities in breast cancer.

The intricacy of structural racism measurement: A pilot development of a latent-class multidimensional measure

BACKGROUND

Structural racism is a complex system of inequities working in tandem to cause poor health for communities of color, especially for Black people. However, the multidimensional nature of structural racism is not captured by existing measures used by population health scholars to study health inequities. Multidimensional measures can be made using complex analytical techniques. Whether or not the multidimensional measure of structural racism provides more insight than the existing unidimensional measures is unknown.

METHODS

We derived measures of Black-White residential segregation, inequities in education, employment, income, and homeownership, evaluated for 2,338 Public Use Microdata Areas (PUMAs) in the United States (US), and consolidated them into a multidimensional measure of structural racism using a latent class model. We compared the median COVID-19 vaccination rates observed across 54 New York City (NYC) PUMAs by levels (high/low) of structural racism and the multidimensional class using the Kruskal-Wallis test. This study was conducted in March 2021.

FINDINGS

Our latent class model identified three structural racism classes in the US, all of which can be found in NYC. We observed intricate interactions between the five dimensions of structural racism of interest that cannot be simply classified as "high" (i.e., high on all dimensions of structural racism), "medium," or "low." Compared to Class A PUMAs with the median rate of two-dose completion of 6·9%, significantly lower rates were observed for Class B PUMAs (5·5%, p = 0·04) and Class C PUMAs (5·2%, p = 0·01). When the vaccination rates were evaluated based on each dimension of structural racism, significant differences were observed between PUMAs with high and low Black-White income inequity only (7·2% vs. 5·3%, p = 0·001).

INTERPRETATION

Our analysis suggests that measuring structural racism as a multidimensional determinant of health provides additional insight into the mechanisms underlying population health inequity vis-à-vis using multiple unidimensional measures without capturing their joint effects.

FUNDING

This project is funded by the Robert J. Jones Urban Research and Outreach-Engagement Center, University of Minnesota. Additional support is provided by the Minnesota Population Center, which is funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (Grant P2C HD041023).

Health inequalities and income for people with spinal cord injury. A comparison between and within countries

Income and health are related in a bi-directional manner, whereby level of income affects health and vice versa. People in poorer households tend to experience worse health status and higher mortality rates than people in wealthier households, and, at the same time, having poor health could restrict workability leading to less income. This gap exists in almost every country, and it is more pronounced in more unequal countries and in vulnerable populations, such as people experiencing disability. The goal of this paper is to estimate the health-income gap in people with a Spinal Cord Injury (SCI), which is a chronic health condition often associated with multiple comorbidities that leads to disability. As data on mortality is inexistent, to estimate the health-income gap for persons with SCI, this paper uses two health outcomes: the number of years a person has lived with the injury, and a comorbidity index. Data was obtained from the International Spinal Cord Injury survey (InSCI), which is the first worldwide survey on community-dwelling persons with SCI. To compare across countries, the health outcomes were adjusted through hierarchical models, accounting for country fixed-effects, individual characteristics such as age and gender, and injury characteristics (cause, type and degree). Our results suggest that for the years living with SCI, the gap varies from 1 to 6 years between the lowest and the highest income groups. The main driver of such a difference is the cause of injury, where injuries caused by work accidents showed the biggest gap. Similarly, for the comorbidity index, persons with SCI in poorer deciles reported significantly more comorbidities, forty times more, than people in richer deciles.

Addressing disparities among children with cerebral palsy: Optimizing enablement, functioning, and participation

PURPOSE

Recognizing health disparities among children with cerebral palsy (CP) is necessary for understanding potential risk factors for CP and for implementing early and effective preventative and intervention treatments. However, there is currently little and conflicting evidence regarding the direct impact of contextual factors such as socioeconomic status (SES) for children with CP in the United States. These contextual factors include the complex social determinants of health on prematurity, comprehensive informed obstetric management for minority and vulnerable populations, and cumulative adversity disproportionately experienced by children, by gender, minority status, immigration, poverty, and structural racism.

METHODS

This study presents results from a review of health disparities among children with CP, using registry and population surveillance data from Australia, Canada, Scandinavia, the United Kingdom, Ireland, Turkey, and the United States.

RESULTS

The review confirmed that there are significant health disparities among children with CP, both in terms of prevalence and severity, based on factors such as SES, neighborhood disadvantage, maternal education, gender, and minority status.

CONCLUSION

Strategies need to be implemented in the United States to promote enablement and functioning among children with CP who face additional health disparities. This requires a greater understanding of population groups at increased risk, comprehensive assessment and care for young children with motor delays, and systematic population counts of children and adults with CP using registries and systems of neurodevelopmental surveillance across health, education, and community rehabilitation. These efforts also require sensitivity to structural and persistent racism, stigma, trauma-informed care, and culturally sensitive community engagement. Additional efforts are also required to improve outcomes over the life course for individuals living a life with CP from a framework of enablement, self-direction, equity and social justice.