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.

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.

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.

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..

"Hang Ups, Let Downs, Bad Breaks, Setbacks": Impact of Structural Socioeconomic Racism and Resilience on Cognitive Change Over Time for Persons Racialized as Black.

Introduction: Older adults racialized as Black experience higher rates of dementia than those racialized as White. Structural racism produces socioeconomic challenges, described by artist Marvin Gaye as "hang ups, let downs, bad breaks, setbacks" that likely contribute to dementia disparities. Robust dementia literature suggests socioeconomic factors may also be key resiliencies. Methods: We linked state-level data reflecting the racialized landscape of economic opportunity across the 20th Century from the U.S. Census (1930-2010) with individual-level data on cognitive outcomes from the U.S. Health and Retirement Study participants racialized as Black. A purposive sample of participants born after the Brown v. Board ruling (born 1954-59) were selected who completed the modified Telephone Interview for Cognitive Status between 2010 and 2020 (N=1381). We tested associations of exposure to structural racism and resilience before birth, and during childhood, young-adulthood, and midlife with cognitive trajectories in mid-late life using mixed-effects regression models. Results: Older adults born in places with higher state-level structural socioeconomic racism experienced a more rapid cognitive decline in later life compared to those with lower levels of exposure. In addition, participants born in places with higher levels of state-level structural socioeconomic resilience experienced slower cognitive change over time than their counterparts. Discussion: These findings reveal the impact of racist U.S. policies enacted in the past that influence cognitive health over time and dementia risk later in life.

Hyperlocal disparities in breast, cervical, and colorectal cancer screening: An ecological study of social vulnerability in Miami-Dade county.

Neighborhoods have been identified as important determinants of health-related outcomes, but limited research has assessed the influence of neighborhood context along the cancer continuum. This study used census tract-level data from the United States Census Bureau and Centers for Disease Control and Prevention to characterize Miami-Dade County census tracts (n = 492) into social vulnerability clusters and assess their associated breast, cervical, and colorectal cancer screening participation rates. We identified disparities by social vulnerability cluster in cancer screening participation rates. Further investigation of geographic disparities in social vulnerability and cancer screening participation could inform equity-focused cancer control efforts.

Moving from Policy to Practice for Early Childhood Obesity Prevention: A Nationwide Evaluation of State Implementation Strategies in Childcare.

Policies requiring childcare settings to promote healthy eating, physical activity, and limited screentime have the potential to improve young children's health. However, policies may have limited impact without effective implementation strategies to promote policy adoption. In this mixed-methods study, we evaluated the type, quality, and dose of implementation strategies for state-level childcare licensing regulations focused on healthy eating, physical activity, or screentime using: (1) a survey of state licensing staff and technical assistance providers (n = 89) in 32 states; (2) a structured review of each state's childcare licensing and training websites for childcare providers; and (3) in-depth, semi-structured interviews with 31 childcare licensing administrators and technical assistance providers across 17 states. Implementation strategies for supporting childcare providers in adopting healthy eating, physical activity, and screentime regulations vary substantially by state, in quantity and structure. Childcare programs' financial challenges, staff turnover, and lack of adequate facilities were identified as key barriers to adoption. Access to federal food programs was seen as critical to implementing nutrition regulations. Implementation resources such as training and informational materials were rarely available in multiple languages or targeted to providers serving low-income or racially/ethnically diverse families. There is a substantial need for implementation supports for ensuring policies are successfully and equitably implemented in childcare.

Multidimensional religious involvement and tobacco smoking patterns over 9-10 years: A prospective study of middle-aged adults in the United States.

This study examined the relationship between multiple dimensions of religious involvement and transitions of tobacco smoking abstinence, persistence, cessation and relapse over 9-10 years of follow-up in a national sample of adults in the United States. Using data provided at baseline and follow-up, participants were categorized as non-smokers, persistent smokers, ex-smokers, and relapsed smokers. Religious involvement over the two time points were categorized into combinations of "high" and "low" involvement within the domains of (a) religious attendance, (b) religious importance, (c) spiritual importance, (d) religious/spiritual comfort seeking, and (e) religious/spiritual decision-making. High levels of religious involvement across five dimensions (religious attendance, religious importance, spiritual importance, religious/spiritual comfort-seeking, and religious/spiritual decision-making) were associated with lower odds of being a persistent smoker or ex-smoker. Religious involvement was not associated with smoking cessation among smokers at baseline. Interventions to increase smoking abstinence may be more effective if they draw on ties to religious and spiritual organizations and beliefs. Meanwhile, religious involvement is unlikely to affect smoking cessation effectiveness.