Breast Cancer Estrogen Receptor Status According to Biological Generation: US Black and White Women Born 1915-1979

Analyzing structural racism and its health impacts: it's about time

It's about time. Since 2020, new work on structural racism and health has erupted in the United States, with 93% of the 1655 PubMed articles indexed by "structural racism" as of April 4, 2024 having been published during or since 2020. Among the 310 review articles included, most have focused either on improving conceptual, substantive, and methodologic clarity and precision about measuring and modeling structural racism, or reviewing evidence about its impacts on specific exposures or outcomes. However, only 2.5% of these 1655 articles are also indexed by the term "lifecourse" and its variants, and among the reviews considered here, none explicitly discuss issues involving etiologic period. Informed by ecosocial theory's temporal theorizing about pathways of embodiment, and also Latin American social medicine-collective health framings of "health-illness-disease processes," lifecourse models, and the construct of the "cancer control continuum," in this brief commentary I consider how time matters in relation to concrete examples involving structural racism and cancer and also inconsistent results reported by several studies using latent measures of structural racism. When it comes to structural racism and health, it truly is about time-and it is time for this work to tackle issues of time.

Advancing gender transformative intersectional science for health justice: An ecosocial analysis

At a time when health-oriented institutions both globally and nationally are increasingly recognizing the need to support research, interventions and training that engage with analysis of how gendered social systems shape population health, independent of and in conjunction with sex-linked biology, it is essential that this work reject biological essentialism and instead embrace embodied integration. In this essay, guided by the ecosocial theory of disease distribution, I clarify connections and distinctions between biological versus social reproduction and inheritance, underscore the non-equivalence of the categories "sex" and "race," and offer a set of examples analyzing the production of gendered health inequities and who needs to do what to address them. The examples concern the worlds of work (sexual harassment; breastfeeding; sex work), ecologic environments (water access; fracking, sexually transmitted infections, & sexual violence); sexual reproduction and reproductive justice (gender stereotyping of reproductive biology; sterilization abuse and abortion bans); and (4) gender transformative initiatives (violence; health interventions). To advance gender transformative intersectional science for health justice, I offer recommendations regarding requirements for justifying data conceptualization, analysis and governance that can be implemented by institutions with the power to shape the funding, translation, and publication of science involving gender, sex-linked biology, and the people's health.

Racial and Ethnic Disparities in Cancer Occurrence and Outcomes in Rural United States: A Scoping Review

BACKGROUND

Cancer is the second-leading cause of death in the United States. Most studies have reported rural versus urban and Black versus White cancer disparities. However, few studies have investigated racial disparities in rural areas.

OBJECTIVE

We conducted a literature review to explore the current state of knowledge on racial and ethnic disparities in cancer attitudes, knowledge, occurrence, and outcomes in rural United States.

METHODS

A systematic search of PubMed and Embase was performed. Peer-reviewed articles published in English from 2004-2023 were included. Three authors independently reviewed the articles and reached a consensus.

RESULTS

After reviewing 993 articles, a total of 30 articles met the inclusion criteria and were included in the present review. Studies revealed that underrepresented racial and ethnic groups in rural areas were more likely to have low cancer-related knowledge, low screening, high incidence, less access to treatment, and high mortality compared to their White counterparts.

CONCLUSION

Underrepresented racial and ethnic groups in rural areas experienced a high burden of cancer. Improving social determinants of health may help reduce cancer disparities and promote health.

Legislating Inequity: Structural Racism In Groups Of State Laws And Associations With Premature Mortality Rates

Most evaluations of health equity policy have focused on the effects of individual laws. However, multiple laws' combined effects better reflect the crosscutting nature of structurally racist legal regimes. To measure the combined effects of multiple laws, we used latent class analysis, a method for detecting unobserved "subgroups" in a population, to identify clusters of US states based on thirteen structural racism-related legal domains in 2013. We identified three classes of states: one with predominantly harmful laws ([Formula: see text]), another with predominantly protective laws ([Formula: see text]), and a third with a mix of both ([Formula: see text]). Premature mortality rates overall-defined as deaths before age seventy-five per 100,000 population-were highest in states with predominantly harmful laws, which included eighteen states with past Jim Crow laws. This study offers a new method for measuring structural racism on the basis of how groups of laws are associated with premature mortality rates.

Birth in the U.S. Plantation South and Racial Differences in all-cause mortality in later life

The American South has been characterized as a Stroke Belt due to high cardiovascular mortality. We examine whether mortality rates and race differences in rates reflect birthplace exposure to Jim Crow-era inequalities associated with the Plantation South. The plantation mode of agricultural production was widespread through the 1950s when older adults of today, if exposed, were children. We use proportional hazards models to estimate all-cause mortality in Non-Hispanic Black and White birth cohorts (1920-1954) in a sample (N = 21,941) drawn from REasons for Geographic and Racial Differences in Stroke (REGARDS), a national study designed to investigate Stroke Belt risk. We link REGARDS data to two U.S. Plantation Censuses (1916, 1948) to develop county-level measures that capture the geographic overlap between the Stroke Belt, two subregions of the Plantation South, and a non-Plantation South subregion. Additionally, we examine the life course timing of geographic exposure: at birth, adulthood (survey enrollment baseline), neither, or both portions of life. We find mortality hazard rates higher for Black compared to White participants, regardless of birthplace, and for the southern-born compared to those not southern-born, regardless of race. Race-specific models adjusting for adult Stroke Belt residence find birthplace-mortality associations fully attenuated among White-except in one of two Plantation South subregions-but not among Black participants. Mortality hazard rates are highest among Black and White participants born in this one Plantation South subregion. The Black-White mortality differential is largest in this birthplace subregion as well. In this subregion, the legacy of pre-Civil War plantation production under enslavement was followed by high-productivity plantation farming under the southern Sharecropping System.

Structural racism through Sundown towns and its relationship to COVID-19 local risk and racial and ethnic diversity

"Sundown towns" across the US prevented racial and ethnic minorities from living and working within their borders as they forced minorities to leave these towns after sunset. The objective of this study was to explore the relationship between sundown town status, COVID-19 local risk index and racial and ethnic diversity. A multi-level hierarchical model was used to examine the effect of historical segregation through sundown towns status on present day COVID-19 local risk index and city-level diversity. Over 2,400 Sundown towns were cataloged across the United States, with the greatest density in the Midwest. Sundown towns, which historically excluded racial and ethnic minorities, had significantly less city-level diversity and lower COVID-19 local risk index compared to non-Sundown towns. Findings show that Sundown towns perpetuate residual segregation which continues to impact current inequities in COVID-19 risk among racial and ethnic minorities at the neighborhood level. We recommend that public health officials for pandemic preparedness should devote greater resources to these historically segregated racial and ethnic minority areas because of the historic structural racism that has placed these places at higher risk.

Neighborhood Disadvantage, African Genetic Ancestry, Cancer Subtype, and Mortality Among Breast Cancer Survivors

Importance

Racial disparities in breast cancer (BC) survival arise from multilevel causes, which may exert influence at different stages of BC progression. Clarifying the importance of genetic and social factors could help prioritize interventions.

Objective

To jointly examine associations between African genetic ancestry, social environment, and mortality from any cause and BC in Black BC survivors.

Design, Setting, and Participants

This population-based cohort study enrolled self-identified Black women aged 20 to 75 years with histologically confirmed BC from June 2005 to May 2019 and followed them up until death or censoring in September 2021. Participants lived in 10 New Jersey counties. Data were analyzed between December 2022 and April 2023.

Exposures

A neighborhood socioeconomic status (nSES) index composed of census tract measures (education, income, wealth, employment status, and occupation) was linked to residential addresses at diagnosis. Percentage African ancestry was estimated using the ADMIXTURE program.

Main Outcomes and Measures

Sequentially adjusted (age adjusted: age and interview year; fully adjusted: age adjusted with individual SES, lifestyle factors, and comorbidities) logistic regression models were fit to estimate associations with tumor subtypes (estrogen receptor-negative [ER-] vs estrogen receptor-positive [ER+]; triple-negative breast cancer [TNBC] vs luminal A), and Cox models were fit for associations with all-cause mortality (ACM) and breast cancer-specific mortality (BCSM). Models for BCSM were fit using Fine-Gray competing risks models, and robust standard errors were used to account for census tract-level clustering.

Results

Among 1575 participants, median (IQR) African ancestry was 85% (76%-90%), and median (IQR) age was 55 (46-63) years. A 10-percentage point increase in African ancestry was associated with higher odds of ER- vs ER+ (adjusted odds ratio [aOR], 1.08; 95% CI, 0.98-1.18) and TNBC vs luminal (aOR, 1.15; 95% CI, 1.02-1.31) tumors, but not with ACM or BCSM. A 1-IQR increase in nSES was associated with lower ACM (adjusted hazard ratio [aHR], 0.76; 95% CI, 0.63-0.93), and the HR for BCSM was less than 1 but not statistically significant (aHR, 0.81; 95% CI, 0.62-1.04) in age-adjusted models, but associations attenuated following further adjustment for potential mediators (individual SES, lifestyles, comorbidities).

Conclusions and Relevance

In this cohort study of Black female BC survivors, higher African ancestry was associated with aggressive tumor subtypes. Compared with genetic ancestry, mediating pathways related to social environments may be more important for survival in these patients.

OUP accepted manuscript

Background

Methods

Results

Conclusion

Mortgage Lending Bias and Breast Cancer Survival Among Older Women in the United States

PURPOSE

The objective was to examine the relationship between contemporary redlining (mortgage lending bias on the basis of property location) and survival among older women with breast cancer in the United States.

METHODS

A redlining index using Home Mortgage Disclosure Act data (2007-2013) was linked by census tract with a SEER-Medicare cohort of 27,516 women age 66-90 years with an initial diagnosis of stage I-IV breast cancer in 2007-2009 and follow-up through 2015. Cox proportional hazards models were used to examine the relationship between redlining and both all-cause and breast cancer-specific mortality, accounting for covariates.

RESULTS

Overall, 34% of non-Hispanic White, 57% of Hispanic, and 79% of non-Hispanic Black individuals lived in redlined tracts. As the redlining index increased, women experienced poorer survival. This effect was strongest for women with no comorbid conditions, who comprised 54% of the sample. For redlining index values of 1 (low), 2 (moderate), and 3 (high), as compared with 0.5 (least), hazard ratios (HRs) (and 95% CIs) for all-cause mortality were HR = 1.10 (1.06 to 1.14), HR = 1.27 (1.17 to 1.38), and HR = 1.39 (1.25 to 1.55), respectively, among women with no comorbidities. A similar pattern was found for breast cancer-specific mortality.

CONCLUSION

Contemporary redlining is associated with poorer breast cancer survival. The impact of this bias is emphasized by the pronounced effect even among women with health insurance (Medicare) and no comorbid conditions. The magnitude of this neighborhood level effect demands an increased focus on upstream determinants of health to support comprehensive patient care. The housing sector actively reveals structural racism and economic disinvestment and is an actionable policy target to mitigate adverse upstream health determinants for the benefit of patients with cancer.

Racial differences in the treatment and outcomes for prostate cancer in Massachusetts

BACKGROUND

Massachusetts is a northeastern state with universally mandated health insurance since 2006. Although Black men have generally worse prostate cancer outcomes, emerging data suggest that they may experience equivalent outcomes within a fully insured system. In this setting, the authors analyzed treatments and outcomes of non-Hispanic White and Black men in Massachusetts.

METHODS

White and Black men who were 20 years old or older and had been diagnosed with localized intermediate- or high-risk nonmetastatic prostate cancer in 2004-2015 were identified in the Massachusetts Cancer Registry. Adjusted logistic regression models were used to assess predictors of definitive therapy. Adjusted and unadjusted survival models compared cancer-specific mortality. Interaction terms were then used to assess whether the effect of race varied between counties.

RESULTS

A total of 20,856 men were identified. Of these, 19,287 (92.5%) were White. There were significant county-level differences in the odds of receiving definitive therapy and survival. Survival was worse for those with high-risk cancer (adjusted hazard ratio [HR], 1.50; 95% CI, 1.4-1.60) and those with public insurance (adjusted HR for Medicaid, 1.69; 95% CI, 1.38-2.07; adjusted HR for Medicare, 1.2; 95% CI, 1.14-1.35). Black men were less likely to receive definitive therapy (adjusted odds ratio, 0.78; 95% CI, 0.74-0.83) but had a 17% lower cancer-specific mortality (adjusted HR, 0.83; 95% CI, 0.7-0.99).

CONCLUSIONS

Despite lower odds of definitive treatment, Black men experience decreased cancer-specific mortality in comparison with White men in Massachusetts. These data support the growing body of research showing that Black men may achieve outcomes equivalent to or even better than those of White men within the context of a well-insured population.

LAY SUMMARY

There is a growing body of evidence showing that the excess risk of death among Black men with prostate cancer may be caused by disparities in access to care, with few or no disparities seen in universally insured health systems such as the Veterans Affairs and US Military Health System. Therefore, the authors sought to assess racial disparities in prostate cancer in Massachusetts, which was the earliest US state to mandate universal insurance coverage (in 2006). Despite lower odds of definitive treatment, Black men with prostate cancer experience reduced cancer-specific mortality in comparison with White men in Massachusetts. These data support the growing body of research showing that Black men may achieve outcomes equivalent to or even better than those of White men within the context of a well-insured population.

The Intersection of Rural Residence and Minority Race/Ethnicity in Cancer Disparities in the United States

One in every twenty-five persons in America is a racial/ethnic minority who lives in a rural area. Our objective was to summarize how racism and, subsequently, the social determinants of health disproportionately affect rural racial/ethnic minority populations, provide a review of the cancer disparities experienced by rural racial/ethnic minority groups, and recommend policy, research, and intervention approaches to reduce these disparities. We found that rural Black and American Indian/Alaska Native populations experience greater poverty and lack of access to care, which expose them to greater risk of developing cancer and experiencing poorer cancer outcomes in treatment and ultimately survival. There is a critical need for additional research to understand the disparities experienced by all rural racial/ethnic minority populations. We propose that policies aim to increase access to care and healthcare resources for these communities. Further, that observational and interventional research should more effectively address the intersections of rurality and race/ethnicity through reduced structural and interpersonal biases in cancer care, increased data access, more research on newer cancer screening and treatment modalities, and continued intervention and implementation research to understand how evidence-based practices can most effectively reduce disparities among these populations.

The relationship between Jim Crow laws and social capital from 1997-2014: A 3-level multilevel hierarchical analysis across time, county and state

INTRODUCTION

Jim Crow laws in the United States promoted racial prejudice, which may have reduced social capital. Our study tests the relationship between Jim Crow laws and social capital.

METHODS

We conducted 3-level multilevel hierarchical modeling to study differences in the stock of social capital for 1997, 2005, 2009 in Jim Crow states compared to states without Jim Crow laws. We examined the moderation effects of county level median income, percent Black and percent with high school education and Jim Crow laws on social capital.

RESULTS

Jim Crow laws significantly reduced stock of social capital across 1997, 2005, 2009. The model was robust to the inclusion of random county, states, time and fixed county and state level covariates for median income, percent Black and percent with high school education. The largest percent of between state variations explained for fixed variables was from the addition of Jim Crow laws with 2.86%. These results demonstrate that although Jim Crow laws were abolished in 1965, the effects of racial segregation appear to persist through lower social connectiveness, community and trust. A positive moderation effect was seen for median income and percent Black with Jim Crow laws on social capital.

DISCUSSION

Our study supports a negative association between Jim Crow laws and reduction in the stock of social capital. This may be attributed to the fracturing of trust, reciprocity and collective action produced by legal racial segregation. Findings from this study offer insight on the potential impacts of historical policies on the social structure of a community. Future research is necessary to further identify the mechanistic pathways and develop interventions to improve social capital.

Measures of Racism, Sexism, Heterosexism, and Gender Binarism for Health Equity Research: From Structural Injustice to Embodied Harm-An Ecosocial Analysis

Racism. Sexism. Heterosexism. Gender binarism. Together, they comprise intimately harmful, distinct, and entangled societal systems of self-serving domination and privilege that structure the embodiment of health inequities. Guided by the ecosocial theory of disease distribution, I synthesize key features of the specified "isms" and provide a measurement schema, informed by research from both the Global North and the Global South. Metrics discussed include (a) structural, including explicit rules and laws, nonexplicit rules and laws, and area-based or institutional nonrule measures; and (b) individual-level (exposures and internalized) measures, including explicit self-report, implicit, and experimental. Recommendations include (a) expanding the use of structural measures to extend beyond the current primary emphasis on psychosocial individual-level measures; (b) analyzing exposure in relation to both life course and historical generation; (c) developing measures of anti-isms; and (d) developing terrestrially grounded measures that can reveal links between the structural drivers of unjust isms and their toll on environmental degradation, climate change, and health inequities.

Health Behaviors and Lifestyle Interventions in African American Breast Cancer Survivors: A Review

Background: African American breast cancer survivors have a higher incidence of estrogen receptor negative and basal-like (e.g., triple negative) tumors, placing them at greater risk for poorer survival when compared to women of other racial and ethnic groups. While access to equitable care, late disease stage at diagnosis, tumor biology, and sociodemographic characteristics contribute to health disparities, poor lifestyle characteristics (i.e., inactivity, obesity, and poor diet) contribute equally to these disparities. Lifestyle interventions hold promise in shielding African American survivors from second cancers, comorbidities, and premature mortality, but they are often underrepresented in studies promoting positive behaviors. This review examined the available literature to document health behaviors and lifestyle intervention (i.e., obesity, physical activity, and sedentary behavior) studies in African American breast cancer survivors. Methods: We used PubMed, Academic Search Premier, and Scopus to identify cross-sectional and intervention studies examining the lifestyle behaviors of African American breast cancer survivors. Identified intervention studies were assessed for risk of bias. Other articles were identified and described to provide context for the review. Results: Our systematic review identified 226 relevant articles. The cross-sectional articles indicated poor adherence to physical activity and dietary intake and high rates of overweight and obesity. The 16 identified intervention studies indicated reasonable to modest study adherence rates (>70%), significant reductions in weight (range -1.9 to -3.6%), sedentary behavior (-18%), and dietary fat intake (range -13 to -33%) and improvements in fruit and vegetable intake (range +25 to +55%) and physical activity (range +13 to +544%). The risk of bias for most studies were rated as high (44%) or moderate (44%). Conclusions: The available literature suggests that African American breast cancer survivors adhere to interventions of various modalities and are capable of making modest to significant changes. Future studies should consider examining (a) mediators and moderators of lifestyle behaviors and interventions, (b) biological outcomes, and (c) determinants of enhanced survival in this population.