Does Neighborhood Social Cohesion Influence Participation in Routine Cancer Screening? Findings From a Representative Sample of Adults in South Florida.

BACKGROUND AND OBJECTIVES: Neighborhood social cohesion (NSC) has been associated with a variety of health outcomes, but limited research has examined its impact on behaviors that support cancer control. The purpose of this study was to examine associations between NSC and guideline-concordant breast, cervical and colorectal cancer screening. METHODS: Data are from a cross-sectional survey administered to 716 adults in South Florida from 2019 to 2020. The analytic samples included adults eligible for breast (n = 134), cervical (n = 195), and colorectal cancer (n = 265) screening. NSC was measured using a validated 5-item instrument. Associations between NSC and guideline-concordant screening were examined using multivariable logistic regression. RESULTS: In fully adjusted analyses, the odds of guideline-concordant breast cancer screening increased by 86% for every unit increase in NSC (aOR = 1.86; 95% CI, 1.03-3.36). NSC was not statistically significantly associated with guideline-concordant cervical cancer screening (aOR = 0.86; 95% CI, 0.54-1.38) or colorectal cancer screening (aOR = 1.29; 95% CI, 0.81-2.04). CONCLUSIONS: These findings suggest that NSC supports some screening behaviors, namely, mammography use. To better understand heterogeneous relationships between NSC and utilization of preventive care services such as cancer screening, more research is needed that disaggregates effects by sex, age, race/ethnicity, and socioeconomic status.

Intersectional disparities in climate vulnerability and cancer risk.

Despite significant progress in the early detection, treatment, and survivorship of cancer in recent decades, cancer disparities continue to plague segments of the US population. Many of these cancer disparities, especially those among historically marginalized racial and ethnic groups and those with lower socioeconomic resources, are caused and perpetuated by social and structural barriers to health. These social and structural barriers, which operate beyond the framework of cancer control, also systematically increase vulnerability to and decrease adaptive capacity for the deleterious effects of anthropogenic climate change. The established and emerging overlap between climate vulnerability and cancer risk presents complex challenges to cancer control, specifically among populations who suffer compounding hazards and intersectional vulnerabilities. By embracing these intersections, we may be able to conceptualize promising new research frameworks and programmatic opportunities that decrease vulnerability to a wide range of climate and health threats to advance health equity.

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.

Recommendations for Using Causal Diagrams to Study Racial Health Disparities.

There have been calls for race to be denounced as a biological variable and for a greater focus on racism, instead of solely race, when studying racial health disparities in the United States. These calls are grounded in extensive scholarship and the rationale that race is not a biological variable, but instead socially constructed, and that structural/institutional racism is a root cause of race-related health disparities. However, there remains a lack of clear guidance for how best to incorporate these assertions about race and racism into tools, such as causal diagrams, that are commonly used by epidemiologists to study population health. We provide clear recommendations for using causal diagrams to study racial health disparities that were informed by these calls. These recommendations consider a health disparity to be a difference in a health outcome that is related to social, environmental, or economic disadvantage. We present simplified causal diagrams to illustrate how to implement our recommendations. These diagrams can be modified based on the health outcome and hypotheses, or for other group-based differences in health also rooted in disadvantage (e.g., gender). Implementing our recommendations may lead to the publication of more rigorous and informative studies of racial health disparities.

Structural Racism and Breast Cancer-specific Survival: Impact of Economic and Racial Residential Segregation.

OBJECTIVE: To analyze the effect of economic and racial/ethnic residential segregation on breast cancer-specific survival (BCSS) in South Florida, a diverse metropolitan area that mirrors the projected demographics of many United States regions. SUMMARY BACKGROUND DATA: Despite advances in diagnosis and treatment, racial and economic disparities in BCSS. This study evaluates these disparities through the lens of racial and economic residential segregation, which approximate the impact of structural racism. METHODS: Retrospective cohort study of stage I to IV breast cancer patients treated at our institution from 2005 to 2017. Our exposures include index of concentration at the extremes, a measurement of economic and racial neighborhood segregation, which was computed at the census-tract level using American Community Survey data. The primary outcome was BCSS. RESULTS: Random effects frailty models predicted that patients living in low-income neighborhoods had higher mortality compared to those living in high-income neighborhoods [hazard ratios (HR): 1.56, 95% confidence interval (CI): 1.23-2.00]. Patients living in low-income non-Hispanic Black and Hispanic neighborhoods had higher mortality compared to those living in high-income non-Hispanic White (NHW) neighborhoods (HR: 2.43, 95%CI: 1.72, 3.43) and (HR: 1.99, 95%CI: 1.39, 2.84), after controlling for patient characteristics, respectively. In adjusted race-stratified analysis, NHWs living in low-income non-Hispanic Black neighborhoods had higher mortality compared to NHWs living in high-income NHW neighborhoods (HR: 4.09, 95%CI: 2.34-7.06). CONCLUSIONS: Extreme racial/ethnic and economic segregation were associated with lower BCSS. We add novel insight regarding NHW and Hispanics to a growing body of literature that demonstrate how the ecological effects of structural racism-expressed through poverty and residential segregation-shape cancer survival.

Developing the Florida Academic Cancer Center Alliance Health Disparities Common Measure: The Florida Health and Ancestry Survey.

PURPOSE: Our specific aim was to develop and assess the consensus-based validity of common measures for understanding health behaviors and ancestry in Florida's population subgroups and establish the feasibility of wide-scale implementation of the measures and biospecimen collection within three cancer centers' catchment areas. METHODS: Using the National Cancer Institute's Grid-Enabled Measures web-based platform and an iterative process, we developed the Florida Health and Ancestry Survey (FHAS). We then used three sampling approaches to implement the FHAS: community-engaged, panel respondent, and random digit dialing (RDD). We asked a subset of participants to provide a saliva sample for future validation of subjective ancestry report with DNA-derived ancestry markers. RESULTS: This process supported the FHAS content validity. As an indicator of feasibility, the goals for completed surveys by sampling approach were met for two of the three cancer centers, yielding a total of 1438 completed surveys. The RDD approach produced the most representative sample. The panel sampling approach produced inadequate representation of older individuals and males. The community-engaged approach along with social media recruitment produced extreme underrepresentation only for males. Two of the cancer centers mailed biospecimen kits, whereas one did not due to resource constraints. On average, the community engaged approach was more productive in obtaining returned biospecimen samples (80%) than the panel approach (48%). CONCLUSIONS: We successfully developed and implemented the FHAS as a common measure to show its feasibility for understanding cancer health disparities in Florida. We identified sampling approach successes and challenges to obtaining biospecimens for ancestry research.

Invited Commentary: What Social Epidemiology Brings to the Table-Reconciling Social Epidemiology and Causal Inference.

In response to the Galea and Hernán article, "Win-Win: Reconciling Social Epidemiology and Causal Inference" (Am J Epidemiol. 2020;189(XX):XXXX-XXXX), we offer a definition of social epidemiology. We then argue that methodological challenges most salient to social epidemiology have not been adequately addressed in quantitative causal inference, that identifying causes is a worthy scientific goal, and that quantitative causal inference can learn from social epidemiology's methodological innovations. Finally, we make 3 recommendations for quantitative causal inference.

Racial Capitalism Within Public Health-How Occupational Settings Drive COVID-19 Disparities.

Epidemiology of the US coronavirus disease 2019 (COVID-19) outbreak focuses on individuals' biology and behaviors, despite centrality of occupational environments in the viral spread. This demonstrates collusion between epidemiology and racial capitalism because it obscures structural influences, absolving industries of responsibility for worker safety. In an empirical example, we analyzed economic implications of race-based metrics widely used in occupational epidemiology. In the United States, White adults have better average lung function and worse hearing than Black adults. Impaired lung function and impaired hearing are both criteria for workers' compensation claims, which are ultimately paid by industry. Compensation for respiratory injury is determined using a race-specific algorithm. For hearing, there is no race adjustment. Selective use of race-specific algorithms for workers' compensation reduces industries' liability for worker health, illustrating racial capitalism operating within public health. Widespread and unexamined belief in inherent physiological inferiority of Black Americans perpetuates systems that limit industry payouts for workplace injuries. We see a parallel in the epidemiology of COVID-19 disparities. We tell stories of industries implicated in the outbreak and review how they exemplify racial capitalism. We call on public health professionals to critically evaluate who is served and neglected by data analysis and to center structural determinants of health in etiological evaluation.

Residential segregation and overall survival of women with epithelial ovarian cancer.

BACKGROUND: To the authors' knowledge, the etiology of survival disparities in patients with epithelial ovarian cancer (EOC) is not fully understood. Residential segregation, both economic and racial, remains a problem within the United States. The objective of the current study was to analyze the effect of residential segregation as measured by the Index of Concentration at the Extremes (ICE) on EOC survival in Florida by race and/or ethnicity. METHODS: All malignant EOC cases were identified from 2001 through 2015 using the Florida Cancer Data System (FCDS). Census-defined places were used as proxies for neighborhoods. Using 5-year estimates from the American Community Survey, 5 ICE variables were computed: economic (high vs low), race and/or ethnicity (non-Hispanic white [NHW] vs non-Hispanic black [NHB] and NHW vs Hispanic), and racialized economic segregation (low-income NHB vs high-income NHW and low-income Hispanic vs high-income NHW). Random effects frailty models were conducted. RESULTS: A total of 16,431 malignant EOC cases were diagnosed in Florida among women living in an assigned census-defined place within the time period. The authors found that economic and racialized economic residential segregations influenced EOC survival more than race and/or ethnic segregation alone in both NHB and Hispanic women. NHB women continued to have an increased hazard of death compared with NHW women after controlling for multiple covariates, whereas Hispanic women were found to have either a similar or decreased hazard of death compared with NHW women in multivariable Cox models. CONCLUSIONS: The results of the current study indicated that racial and economic residential segregation influences survival among patients with EOC. Research is needed to develop more robust segregation measures that capture the complexities of neighborhoods to fully understand the survival disparities in EOC.

Building a Culture of Health at the Neighborhood Level Through Governance Councils.

To explore facilitators and barriers to developing and sustaining collaboration among New York City Department of Health and Mental Hygiene's Neighborhood Health Action Centers and co-located partners, who share information and decision-making through a Governance Council structure of representative members. Semi-structured interviews were conducted in 2018 with 43 Governance Council members across the three Action Centers of East Harlem (13), Tremont (15), and Brownsville (15), New York City. Governance Council members identified collaboration through information- and resource-sharing, consistent meetings and continuous communication as valuable for fostering a culture of health in their communities. Immediate benefits included building relationships, increased access to resources, and increased reach and access to community members. Challenges included difficulty building community trust, insufficient advertisement of services, and navigation of government bureaucracy. The Governance Councils forged collaborative relationships among local government, community-based organizations and clinical providers to improve health and well-being in their neighborhoods. Sharing space, resources and information is feasible with a movement towards shared leadership and decision-making. This may result in community-driven and tailored solutions to historical inequities. In shared leadership models, some internal reform by Government partners may be required.

SCAN360: A Resource for a 360-Degree View of Cancer Prevention, Risk, and Survival.

SCAN360, an interactive web platform aiming to provide a "360-degree view" of factors that drive cancer, calculates and integrates several measures of cancer burden from the Florida Cancer Data System, the state's cancer registry, from 2012 to 2016 with cancer risk factors, clinical factors, and social determinants of health on multiple levels of geography - ranging from the entire state to the neighborhood. Integrating various sources of data, the web platform visualizes numerous indicators, including sociodemographic characteristics, cancer histology and staging, risk behaviors, screening behavior, environmental factors, hazardous sites, health insurance access, prevalence of potential comorbidities, housing characteristics, and levels of residential segregation, through maps and easy-to-interpret graphs. By walking through an example of a practical use, we show that SCAN360 provides data that are easily accessible to public health professionals, decision makers, and researchers and can assist them with identifying potential drivers of cancer burden on a localized level.

Racism and the Political Economy of COVID-19: Will We Continue to Resurrect the Past?

COVID-19 is not spreading over a level playing field; structural racism is embedded within the fabric of American culture, infrastructure investments, and public policy and fundamentally drives inequities. The same racism that has driven the systematic dismantling of the American social safety net has also created the policy recipe for American structural vulnerability to the impacts of this and other pandemics. The Bronx provides an important case study for investigating the historical roots of structural inequities showcased by this pandemic; current lived experiences of Bronx residents are rooted in the racialized dismantling of New York City's public infrastructure and systematic disinvestment. The story of the Bronx is repeating itself, only this time with a novel virus. To address the root causes of inequities in cases and deaths due to COVID-19, we need to focus not just on restarting the economy but also on reimagining the economy, divesting of systems rooted in racism, and the devaluation of Black and Brown lives.

Structural racism and health inequities in the USA: evidence and interventions.

Despite growing interest in understanding how social factors drive poor health outcomes, many academics, policy makers, scientists, elected officials, journalists, and others responsible for defining and responding to the public discourse remain reluctant to identify racism as a root cause of racial health inequities. In this conceptual report, the third in a Series on equity and equality in health in the USA, we use a contemporary and historical perspective to discuss research and interventions that grapple with the implications of what is known as structural racism on population health and health inequities. Structural racism refers to the totality of ways in which societies foster racial discrimination through mutually reinforcing systems of housing, education, employment, earnings, benefits, credit, media, health care, and criminal justice. These patterns and practices in turn reinforce discriminatory beliefs, values, and distribution of resources. We argue that a focus on structural racism offers a concrete, feasible, and promising approach towards advancing health equity and improving population health.

Incarceration and Current Tobacco Smoking Among Black and Caribbean Black Americans in the National Survey of American Life.

OBJECTIVES: We examined the relationship between having a history of incarceration and being a current smoker using a national sample of noninstitutionalized Black adults living in the United States. METHODS: With data from the National Survey of American Life collected between February 2001 and March 2003, we calculated individual propensity scores for having a history of incarceration. To examine the relationship between prior incarceration and current smoking status, we ran gender-specific propensity-matched fitted logistic regression models. RESULTS: A history of incarceration was consistently and independently associated with a higher risk of current tobacco smoking in men and women. Formerly incarcerated Black men had 1.77 times the risk of being a current tobacco smoker than did their counterparts without a history of incarceration (95% confidence interval [CI] = 1.20, 2.61) in the propensity score-matched sample. The results were similar among Black women (prevalence ratio = 1.61; 95% CI = 1.00, 2.57). CONCLUSIONS: Mass incarceration likely contributes to the prevalence of smoking among US Blacks. Future research should explore whether the exclusion of institutionalized populations in national statistics obscures Black-White disparities in tobacco smoking.

Incarceration and adult weight gain in the National Survey of American Life (NSAL).

BACKGROUND: The United States has the unenviable distinction of having both the highest obesity rate among Organisation for Economic Co-operation and Development (OECD) member countries and the highest incarceration rate in the world. Further, both are socially patterned by race/ethnicity and socioeconomic position. Incarceration involves various health behaviors that could influence adult weight trajectory. METHODS: We evaluated the associations between history and duration of adult incarceration and weight gain using the National Survey of American Life (N=6082 adults residing in the 48 contiguous states between February 2001 and March 2003). We propensity score-matched individuals to control for the probability of having a history of incarceration. To examine the relation between prior incarceration and adult weight gain, we fit gender-stratified generalized estimating equations controlling for propensity of incarceration history, age, education, income, race/ethnicity, and marital status. RESULTS: For males (N=563), incarceration was associated with about a 1.77 kg/m(2) lower gain in body mass index (BMI) during adulthood, after adjusting for age, education, income, race/ethnicity, and marital status in addition to the propensity of having a history of incarceration (95% CI: -2.63, -0.92). For females (N=286), no significant overall relationship was found between a history of incarceration and adult weight gain. In subgroup analyses among those with an incarceration history, we found no overall association between duration of incarceration and adult weight gain in men or women. In sensitivity analyses, neither tobacco smoking nor parity changed the results. CONCLUSIONS: The results of this study indicate that incarceration is associated with a lower transition of weight gain in males, but not in females..