Abstract
Black Americans and other racially and ethnically minoritized individuals are disproportionately burdened by higher morbidity and mortality from kidney disease when compared with their White peers. Yet, kidney researchers and clinicians have struggled to fully explain or rectify causes of these inequalities. Many studies have sought to identify hypothesized genetic and/or ancestral origins of biologic or behavioral deficits as singular explanations for racial and ethnic inequalities in kidney health. However, these approaches reinforce essentialist beliefs that racial groups are inherently biologically and behaviorally different. These approaches also often conflate the complex interactions of individual-level biologic differences with aggregated population-level disparities that are due to structural racism (i.e., sociopolitical policies and practices that created and perpetuate harmful health outcomes through inequities of opportunities and resources). We review foundational misconceptions about race, racism, genetics, and ancestry that shape research and clinical practice with a focus on kidney disease and related health outcomes. We also provide recommendations on how to embed key equity-enhancing concepts, terms, and principles into research, clinical practice, and medical publishing standards.
Keywords: race, racism, ancestry, research, race-consciousness, disparity, equity
Introduction
Scientists have reached general agreement in [recognizing] that mankind is one: that all men [people] belong to the same species, Homo sapiens. The myth of “race” has created an enormous amount of human and social damage. In recent years it has taken a heavy toll in human lives and caused untold suffering. It still prevents the normal development of millions of human beings and deprives [civilization] of the effective co-operation of productive minds. —“The Race Question” (UNESCO 1950)
Race disparities in kidney disease are profound and have long been a focus in research and clinical practice. However, there is a lack of clarity regarding how several related concepts, including race, racism, genetics, and ancestry, should be defined and operationalized in research, clinical practice, and medical publishing. Consideration of key concepts and their appropriate use can help to align an evolving discourse in these arenas and to advance kidney health equity (Table 1).
Table 1.
Race, race essentialism, and racism |
Recognize race as an omnipresent sociopolitical, nonbiologic construct |
Recognize that racial differences in health outcomes are due to historical and persistent racialized policies and actions, not innate group differences |
Recognize that race is a risk factor for racism, which in turn, is a risk factor for poor health |
Recognize that race is only indirectly related to population-level ancestry genes |
Acknowledge race essentialism as a threat to patient-centered care and rigorous science |
Acknowledge the multiple pathways through which racism may influence biology (e.g., epigenetic modifications, allostatic load) |
Race, genetics, and ancestry |
Recognize that race is not directly related to population ancestry |
Knowledge of population ancestry should not be used to infer an individual’s genetic polymorphism profile |
Precisely define ancestry in studies, including the exact methods of its determination |
Race in clinical and epidemiologic studies |
Precisely define, contextualize, and provide the reasons for including race and ethnicity (and other social variables) in studies |
Avoid aggregation bias and the ecologic fallacy (e.g., applying group-level inferences to individuals) |
Carefully consider race adjustment and consider how other social (e.g., education, employment, insurance, and residential location) variables may be influenced by racialized policies |
Avoid use of race or ethnicity in clinical algorithms, risk prediction models, or formulas in medical decision making |
Identify the socioecologic levels (interpersonal, institutional, or internalized) through which racism may be acting in causal models |
Peer review and publication practices |
Ensure that reviewers have appropriate expertise to review studies on race and have diverse lived experiences |
Consider engaging reviewers from diverse academic disciplines (e.g., social science, law, or genetics) when insights on race or racism are needed |
Ensure that race differences are appropriately contextualized in published reports |
Prioritize studies that “center at the margins” to include diverse patient and community voices |
Recognize that words matter, including thoughtful and humble use of terminology |
Defining Race, Race Essentialism, and Racism
Concepts of race, race essentialism, and racism are embedded throughout research, clinical care, and medical publishing.
Race
In the United States, conceptualizations of race are nearly ubiquitous in medicine and society (1). The concept of race was originally conceived through a taxonomy that categorized humans into phenotypically defined (e.g., by skin color and hair texture) hierarchical groupings in which White/European individuals were deemed superior (2–5). Linnaeus, Blumenbach, and others conceived and embraced the concept of race and advanced it as a foundation for a racialized social stratification, and they added legitimacy to its use by weaving it into scientific discourse and thinking (6–11). For centuries, the promotion of race as a biologic construct has been the basis for race-based scientific inquiry, abuse (e.g., eugenics), and differential medical treatment of minoritized individuals (12,13). Despite this, evidence has clearly demonstrated that race is not a genetic or biologic characteristic that inherently confers health risk (14–16). Rather, racialized societal policies and practices that subject individuals to unequal resources and treatment in society on the basis of assigned racial designations (which are neither scientific nor internally consistent) provide a powerful substrate for health disparities (17).
Race Essentialism
Race essentialism is defined as the view that “racial groups possess an underlying essence or fixed uniform and defining characteristics that represent informative unalterable traits [beyond phenotype] including genetics, behaviors, and ability” (18–20). Essentialist thinking has validated and reinforced the use of race as a basis for categorizing individuals in the design, conduct, analysis, and interpretation of biologic research (21,22). This ideology has legitimized social hierarchies and fueled misguided race-based medical practice, including pharmacogenomics (23,24) and estimations of biologic processes including kidney function (25). It has also exacerbated racial health inequities (6,26). Race essentialist reasoning inappropriately points to perceived innate biologic inferiority of socially oppressed individuals (12,27,28) while failing to recognize rectifiable root causes of inequitable health outcomes, including structural racism (29) and associated racial inequities (e.g., access to health care, housing, food availability, monetary resources, etc.) (30,31) that affect health.
Racism
Racism is defined as beliefs, actions, and policies through which differential value, resources, opportunities, and power are assigned to individuals or groups on the basis of their socially assigned race. It is a primary mechanism through which racial and other health inequities are generated (17,32–34). Racism operates at individual (internalized), interpersonal (personally mediated), cultural, and structural or institutional levels (17). Internalized racism refers to how minoritized groups accept negative and stigma-laden messages about their otherness, ability, and value (e.g., minoritized individuals feeling inherently less self-efficacy for disease management) (17,35). Interpersonal racism may be intentional or unintentional and overt or covert, and it reflects a system of power aligned with prejudice, bias, and/or discrimination on the basis of negative assumptions about the value, abilities, motives, intentions, and other attributes of a group (e.g., viewing behaviors of a minoritized group as lazy or irresponsible) (36–39). Cultural racism refers to how media representations and other social messaging can convey the idealization of Whiteness as superior and normal (e.g., representations of professionalism as White) (40). Structural or institutionalized racism refers to the ways in which racialized laws, policies, practices, and norms result in differential access to resources, opportunities, and services and afford greater privilege and opportunity to White individuals independent of personal work ethic (17,29,41–46). Structural racism is also systemic (i.e., reflecting linked and interdependent social systems, including finance, transportation, education, health, etc.) (29). It is difficult to quantify because it operates across multiple dimensions, and it persists despite legal or policy shifts that may leave behind a façade of equality or meritocracy. For example, although the US federally sanctioned practices of residential neighborhood redlining and racially restrictive housing covenants of the 1930s and 1940s were eliminated, these policies have continued to generate racial inequity manifest as lesser wealth (47,48), fewer resources for public education (49), poorer access to health-promoting food and other resources (50,51), political disenfranchisement (52), criminalization/overexposure to incarceration (53), exposure to harmful toxins (54), and segregated/suboptimal health care access (55,56).
Although race is associated with health, it often serves as an imprecise proxy for the cumulative effect of systemic racism, reflected through the “repeated experience” among racial minorities with “social, economic, and political adversity and marginalization” (57–60). For instance, “weathering” or high-effort coping with acute and chronic stressors may have a profound effect on minoritized individuals at a physiologic level (weathering as measured in part by allostatic load, overactivation of neurohormonal factors, increased expression of inflammatory mediators, and reduced immune/antiviral gene expression) (57,61). Similarly, minoritized individuals’ limited access to recommended treatments or health services, mediated through racialized policies (e.g., limiting access to employer-based health insurance and fewer health facilities in low-income and mostly minoritized communities), has a profound effect on health (62–65).
Differentiating Concepts of Race, Genetics, and Ancestry
The American Society of Human Genetics, the National Institutes of Health, and others have denounced the use of genetics to reinforce concepts of racial purity or superiority or to advance false notions that different “races” are biologically or genetically distinct (16,66).
Race and Ancestry
“Ancestry” lacks a standard definition and may refer to genealogic ancestry (descriptions of ancestors by geography or continent of origin on the basis of a family pedigree) or genetic ancestry (a reference to the paths through which genetic material has been inherited, often using haploid markers such as mitochondrial DNA or autosomal diploid markers thought to be “ancestry informative”) (67,68). Ancestry has been touted as a solution to pitfalls associated with race-based medicine and research (69), yet it has a very complex relationship to race. For example, in the United States, a recent Nigerian immigrant, an Aboriginal Australian, and a Black descendent of the United States are each likely to be classified as being of Black or African American race. Yet, these individuals may each have very distinct ancestral characteristics (70). Several key shortcomings must be acknowledged with ancestry-focused research. First, ancestry, like race, lacks standardized definitions (71). As a result, the ways in which information is gathered in commercial studies of ancestry are highly variable among laboratories (72). Second, participants in existing genetic databases used to determine ancestry often lack substantial demographic diversity (73), potentially limiting the discerning insights drawn from these data. Third, self-reported ancestry does not perfectly correlate with genomic data, and individuals with multiple ancestries (e.g., many populations in the United States that have “admixed” ancestry) cannot be grouped into discrete categories (72,74). Large ancestral categories (which may capture genetic variation in local populations), like racial categories, do not explain variation within or between local populations (75).
Generalizing Ancestry and Genetics to Racialized Populations
The terms “race,” “genetics,” and “ancestry” are frequently conflated (68). Yet, >2000 different ethnolinguistic groups, >14 identified “ancestral population clusters,” and substantial genetic variability are recognized within the African continent, with an evolution of these groups over time (76). Hence, it is problematic to generalize about Black or African American individuals with regard to continental ancestry–mediated disease-associated genetic variants (76,77). Although there may be noncausal correlations between genomic variations and socially designated racial categories (e.g., hemoglobin S and APOL1 risk alleles), genetic variations are not demarcated by distinct population-level boundaries or clusters (e.g., defined by race, ethnicity, or geography) (78–80). The mere correlation between population-level allelic variations and disease risk should not be interpreted as validly generalizable to all individuals within a population without rigorous evaluation of social and environmental mediators of observed correlations or their ubiquity among individuals within populations of interest. In sum, racial association with disease via genomic studies “runs the risk of re-inscribing race and genetics” and race-essentialist thinking (81,82).
Attempts to characterize race by gene profiles perpetuate racial essentialism (83), ignore genetic and social heterogeneity within “racial” groups, obscure the environmental mechanisms linking structural racism to health disparities, and slow our progress to understanding the root causes of health disparities (84). If the terms race, genetics, and/or ancestry are expressed jointly in studies, they should be clearly defined, and the intended implications and rationale for inclusion of data elements should be delineated clearly (70). Finally, statistical correlations between population-level allelic variations and disease risk should not be interpreted as consistently generalizable to all individuals within a population (67,68) but only to those persons with that identified allelic variation.
Race in Clinical and Epidemiologic Studies
Researchers should carefully examine when, how, and why race is incorporated into epidemiologic and population-based clinical research studies and how race is defined (85). In general, race and ethnicity should be treated much differently (86) (e.g., to broadly understand socially driven group-level differences and not to infer biologic information about individuals) than traditional biomedical and health assessment variables.
Accounting for Race
Race should be accounted for in studies when considerations regarding the health effects of socially imposed racialized policies/practices on individuals are relevant to the scientific question of interest. This may include studies that seek to describe differences in an outcome (e.g., kidney failure incidence) between racialized groups or to describe the interaction of race with other variables of interest (e.g., referrals for kidney transplants). Investigators should carefully describe how race has been defined (e.g., via self-report or externally derived/socially assigned through government, health care providers, or others) (87). Investigators should also identify the socioecologic level (interpersonal, institutional, or internalized) and mechanisms through which they hypothesize racism may operate with relation to the primary scientific question (88). It is also important to consider whether other intersecting forms of social oppression and discrimination (e.g., on the basis of sex, sexual orientation, age, nationality, religion, and income) may compound the effects of racism (89). Health risks due to gene variants (e.g., APOL1) should be attributed to genetic polymorphisms as they cannot be attributed to socially assigned race (80).
Race may be commonly “adjusted for” in clinical and epidemiologic studies seeking to identify potential causal associations between various exposures and health outcomes. Investigators who adjust for race without careful consideration of the mechanisms by which racism influences may fail to recognize how potential confounders, such as education, employment, insurance status, income, wealth, and more, have been racialized in and of themselves (49,90–92). Investigators should carefully consider how including these other racialized variables could affect both the health of minoritized individuals and racial health equity in intended and unintended ways. Investigators should also consider the merits of stratifying analyses by race instead of adjusting for race in an effort to examine the effect of the differential distribution of other risk factors (e.g., social determinants of health) by race that is most often the result of structural racism (17,70). Additional attention should be paid to disaggregating data when possible to account for heterogeneity, which may exist within the social experiences of racial or ethnic groups (e.g., differences between Black and non-Black Hispanics or Asian subgroups) (93).
Moreover, although race and socioeconomic status (SES) are correlated due to the omnipresence of structural racism, they should not be conflated. Group-level SES differences are driven by racialized policies and not innate racial and ethnic attributes (91). For instance, numerous studies have demonstrated racial differences in kidney health outcomes, even after accounting for individuals’ SES (94,95). These racial differences in outcomes should be examined carefully to consider both the multicollinearity and additional unmeasured effects (e.g., residual confounding) of other racialized social policies (e.g., insurance access and eviction policy) and resulting environments, which could influence health outcomes (70,91). To avoid aggregation bias and ecologic fallacy (i.e., assumptions that observations at the group population–level are uniformly applicable to individuals), population inferences should not be assigned to each individual in the group regarding their risk for health conditions (e.g., diabetes or CKD risk) (96), and careful attention should paid toward potential within-group confounding or effect modification (91,97).
Statistical Models, Risk Prediction Equations, Clinical Algorithms, and Formulas
The use of race in studies to identify population-level health associations may be appropriate for identifying the need for group-level public health messaging, education, interventions, policy planning, and needs for resource allocation as well as outcome monitoring. However, it is not appropriate to include race or ethnicity in risk prediction equations, clinical algorithms, or formulas used to uniformly guide clinical decision making for individual patients. This is because race ignores individuals’ genetic and social heterogeneity and obscures mechanisms linking racism to health disparities, and its inclusion can introduce aggregation bias and ecologic fallacy into medical decision making (98). Use of race in algorithms to guide clinical decision making may also lead to unintended consequences as it did when hypertension guidelines were adjusted on the basis of race (e.g., Black individuals were considered to benefit less from angiotensin-converting enzyme inhibitor/angiotensin receptor blocker) (99). For instance, numerous studies investigating race-based eGFR equations demonstrated unintended harmful consequences of these equations on the health care of Black individuals, including under-recognition of kidney disease and delayed receipt of guideline-based care (100–103).
Race in Clinical Care
Many Americans harbor negative subconscious attitudes toward minoritized groups as exemplified by moderate to significant anti-Black implicit bias (104). Despite publicly expressed beliefs that physicians are not racist (105), physicians score higher on anti-Black implicit bias tests than the general population, lawyers, and doctoral prepared researchers do (104). These biases contribute to racial and ethnic discrimination in the health care workforce and in patient care (106). Additionally, the indoctrination of racial essentialism in medical education and research may enable unempathetic interactions and clinicians’ biased, paternalistic, or disparate care (106–108).
As clinicians acknowledge how racism and health disparities are mediated through layers of inequities produced by a race-stratified society, they may gain enhanced empathy for racially minoritized patients. For instance, excess stressors disproportionately imposed upon minoritized individuals have been associated with substance abuse, poor dietary patterns, and cognitive impairment (109–111). This understanding may help clinicians better understand how attitudes toward health care, such as mistrust (e.g., recognizing that “medical mistrust” is often the by-product of current and historically racist abuses in science and medicine), or behaviors, such as adherence (e.g., recognizing financial barriers to obtaining medications), and more are driven by patients’ experiences with racialized systems.
Race in Scientific Peer Review and Publication Practices
Academic medicine and biomedical research are not immune to biases and racialized structures. Hence, peer review and publication processes should ensure key concepts are considered, defined, and operationalized in a responsible manner (88,112,113).
Peer Review
Editors, reviewers, and investigators can take several actions to promote equity and embed antiracism into their processes. First, editors should ensure that reviewers have appropriate expertise and represent diverse lived experiences and social identities, which inevitably affect the interpretation and adjudication of work (88,114). In the case of studies that directly interrogate race or racism in their relation to health, editors should seek reviewers from diverse academic disciplines (e.g., social science, law, genetics, etc.) to provide insight regarding whether structural racism or gene-environment interactions have been adequately considered. Second, peer reviewers can examine and acknowledge their own positionality (e.g., personal biases and prior personal experiences) in relation to the work being reviewed. Peer reviewers can also help ensure that race differences are appropriately contextualized by study investigators. For instance, when race is associated with unequal outcomes or other findings in a study, reviewers can ask study investigators to discuss how and/or when racism may be operating. In responding to these reviews, investigators should avoid deficit narratives that blame minoritized groups for having innate deficiencies (88). The review process can also enhance value by inviting commentary on how race relates to a study, including acknowledging the long and violent history of exclusion or abuse of marginalized populations in the research enterprise when appropriate. Editors and reviewers can elevate and prioritize studies that “center at the margins” so that minoritized patient and community voices are valued for their critical insights and to emphasize the importance of these lived experiences in influencing health outcomes (26). Finally, editors and reviewers can encourage authors to expand their authorship groups to include those in intersecting disciplines as well as nonacademic partners (e.g., community health workers, individuals working at federal qualified health centers, etc.) who have contributed substantially to the work but are often overlooked during the drafting and publication of findings (88).
Words Matter
Language shifts with history, political climates, and other contexts. However, words always convey meaning and can sometimes exacerbate stigmatization of marginalization of groups (115). When referring to socially assigned racial categories, several terms that reinforce the ideologic legacy of White supremacy (and other forms of oppression) actively or passively should be avoided. For instance, terms such as “vulnerability” or “adversity” often represent a negative description of a condition that society has created for a group of people and that often gets ascribed as an innate group trait. This could be replaced with terms such as “under-resourced,” “disinvested,” or “historically marginalized,” which provide context about the power dynamics and root causes of a condition (113). It is also important to carefully deploy current terms describing racial categorizations, particularly in locales where terminology changes frequently, such as in the United States. For example, in the 1950s, individuals who are currently labeled as “Black or African American” were previously labeled as “Negro” by the US Census Bureau (116). Terms used to describe racial groups (e.g., Black or White) should be capitalized because they are proper nouns and not colors, and they should not be made plural. For instance, instead of referring to “Blacks or Whites,” investigators should refer to “Black or White individuals, study participants, or patients.” The terms “racialized” or “minoritized” are often used to emphasize the oppression and marginalization of racial or minority groups.
Because words and their meanings will continue to evolve over time, achieving complete competence or omniscience about all words may be impossible. However, investigators, editors, reviewers, and journals should strive to continually ensure that published words embody cultural humility and equity and do not harm and stigmatize individuals or groups.
Toward Equity-Focused Race Consciousness
Equity-focused race consciousness promotes the three espoused core principles for achieving health equity, including providing resources according to need, valuing all individuals and populations equally, and recognizing and rectifying historical injustices (41). Race consciousness is a key tenet required to promote equity, justice, and fairness in the aspiration to achieve health (117,118). Equity-focused race consciousness requires that fundamental premises regarding the origins and causes of race-related individual-level health differences be interrogated with an eye toward upending race-essentialist thinking (6,27). Equity-focused race consciousness also requires recognizing racism as a root cause of kidney and other health inequities (e.g., in contrast to exclusively focusing on genetic factors, like high-risk APOL1 alleles, as a primary cause of racial disparities in kidney health). Similarly, implementing a race-conscious equity approach into research requires avoiding race-evasive “color blindness,” which purports that race should not be considered when determining opportunity or outcomes (119). “Color-blind” approaches disguised as a desire to combat prejudice/discrimination/bias (e.g., proclaiming that race does not matter) (120) can mask race-driven inequities and oppression in a racialized society (119,121,122). For example, inequities could widen or be masked around kidney transplantation or, more visibly, coronavirus disease 2019 vaccine distribution if the race of the recipient was obscured or not collected (123,124) (contrarily, studies that examine racial differences in purported biologic factors [e.g., receptor variations across a population that increased the likelihood of dying outside of the hospital]). Early research focused on coronavirus disease 2019 mortality in which data were not disaggregated by race/ethnicity obscured the severity of disparities, with downstream effects on resource distribution (125).
The use of race in research and medicine is complex yet necessary. Race should be recognized in medicine—not because it is a fixed trait approximating a biologic characteristic but because it is a latent group concept that helps to capture group-level health outcomes that are linked to racism, which selectively and differentially exerts its effects on individuals’ health on the basis of their racially stratified social status (84). Responsible, equity-focused, and race-conscious approaches are required to disrupt long-standing and harmful conventions. Clinicians, researchers, and publishers all have a shared responsibility to ensure that race is operationalized responsibly (84). Through intentional and thoughtful action, there is hope to forge a meaningful path toward racial equity in kidney health.
Disclosures
L.E. Boulware reports receiving honoraria from the Robert Wood Johnson Clinical Scholars Program and various universities for visiting professorships; serving as a scientific advisor or member of the Association for Clinical and Translational Science and the Robert Wood Johnson Clinical Scholars National Advisory Committee; and serving on the editorial boards of Journal of the American Medical Association and Journal of the American Medical Association Network Online. C. Jones reports receiving honoraria from Merck Center for Observational and Real-World Evidence and speaking on “Naming Racism and Moving to Action” on February 24, 2021. D. Mohottige reports serving as an National Kidney Foundation (NKF) Health Equity Advisory Committee member. D. Mohottige's partner owns minimal stocks in Gilead and Pfizer totaling <$5000. K.C. Norris reports consultancy agreements with Atlantis Healthcare for compliance, research, and quality care for dialysis and CKD care in Puerto Rico; serving as a scientific advisor or member of American Association of Kidney Patients (AAKP), Association of American Medical Colleges (AAMC), Atlantis Healthcare, CJASN, ESRD Network Forum, Ethnicity & Disease, International Society of Nephrology (ISN), JASN, and National Kidney Foundation Kidney Early Evaluation Program (NKF-KEEP); and other interests/relationships with AAKP, the American Society of Nephrology, ESRD Network Forum, NKF, and Society of General Internal Medicine (SGIM). The remaining author has nothing to disclose.
Funding
D. Mohottige is supported by the Duke Center for Research to Advance Healthcare Equity, which is supported by National Center on Minority Health and Health Disparities award U54MD012530. K.C. Norris is supported in part by National Center for Advancing Translational Sciences grant UL1TR001881 and National Institute on Aging grant P30AG021684.
Footnotes
Published online ahead of print. Publication date available at www.cjasn.org.
References
- 1.Omi M, Winant H: Racial Formation in the United States, New York, Routledge, 2014 [Google Scholar]
- 2.Jones CP, Truman BI, Elam-Evans LD, Jones CA, Jones CY, Jiles R, Rumisha SF, Perry GS: Using “socially assigned race” to probe white advantages in health status. In: Race, Ethnicity, and Health: A Public Health Reader, edited by LaVeist TA, Isaac LA, San Francisco, CA, Jossey-Bass, 2012, pp 57–76 [Google Scholar]
- 3.Blakey ML: Scientific racism and the biological concept of race. Lit Psych 45: 29–43, 1999 [Google Scholar]
- 4.Harawa NT, Ford CL: The foundation of modern racial categories and implications for research on black/white disparities in health. Ethn Dis 19: 209–217, 2009 [PubMed] [Google Scholar]
- 5.Witzig R: The medicalization of race: Scientific legitimization of a flawed social construct. Ann Intern Med 125: 675–679, 1996 [DOI] [PubMed] [Google Scholar]
- 6.Cerdeña JP, Plaisime MV, Tsai J: From race-based to race-conscious medicine: How anti-racist uprisings call us to act. Lancet 396: 1125–1128, 2020 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Braun L: Race, ethnicity and lung function: A brief history. Can J Respir Ther 51: 99–101, 2015 [PMC free article] [PubMed] [Google Scholar]
- 8.Braun L, Wentz A, Baker R, Richardson E, Tsai J: Racialized algorithms for kidney function: Erasing social experience. Soc Sci Med 268: 113548, 2021 [DOI] [PubMed] [Google Scholar]
- 9.Braun L, Wolfgang M, Dickersin K: Defining race/ethnicity and explaining difference in research studies on lung function. Eur Respir J 41: 1362–1370, 2013 [DOI] [PubMed] [Google Scholar]
- 10.Hirschfeld LA: Natural assumptions: Race, essence, and taxonomies of human kinds. Soc Res (New York) 65: 331–349, 1998 [Google Scholar]
- 11.Hirschman C: The origins and demise of the concept of race. Popul Dev Rev 30: 385–415, 2004 [Google Scholar]
- 12.Phelan JC, Link BG, Feldman NM: The genomic revolution and beliefs about essential racial differences: A backdoor to eugenics? Am Sociol Rev 78: 167–191, 2013 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Roberts D: Fatal Invention: How Science, Politics, and Big Business Re-Create Race in the Twenty-First Century, New York, New Press, 2011 [Google Scholar]
- 14.Cooper R, David R: The biological concept of race and its application to public health and epidemiology. J Health Polit Policy Law 11: 97–116, 1986 [DOI] [PubMed] [Google Scholar]
- 15.Keita SO, Kittles RA, Royal CDM, Bonney GE, Furbert-Harris P, Dunston GM, Rotimi CN: Conceptualizing human variation. Nat Genet 36[11 Suppl]: S17–S20, 2004 [DOI] [PubMed] [Google Scholar]
- 16.National Human Genome Research Institute : Race. NIH. Available at: https://www.genome.gov/genetics-glossary/Race. Accessed March 10, 2021
- 17.Jones CP: Levels of racism: A theoretic framework and a gardener’s tale. Am J Public Health 90: 1212–1215, 2000 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Haslam N, Rothschild L, Ernst D: Are essentialist beliefs associated with prejudice? Br J Soc Psych 41[Pt 1]: 87–100, 2002 [DOI] [PubMed] [Google Scholar]
- 19.Haslam N, Rothschild L, Ernst D: Essentialist beliefs about social categories. Br J Soc Psych 39[Pt 1]: 113–127, 2000 [DOI] [PubMed] [Google Scholar]
- 20.Soylu Yalcinkaya N, Estrada-Villalta S, Adams G: The (biological or cultural) essence of essentialism: Implications for policy support among dominant and subordinated groups. Front Psych 8: 900, 2017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Gelman SA, Hirschfeld LA: How biological is essentialism. Folkbiology 9: 403–446, 1999 [Google Scholar]
- 22.Osborne NG, Feit MD: The use of race in medical research. JAMA 267: 275–279, 1992 [PubMed] [Google Scholar]
- 23.Lee SS-J: Racializing drug design: Implications of pharmacogenomics for health disparities. Am J Public Health 95: 2133–2138, 2005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Bibbins-Domingo K, Fernandez A: BiDil for heart failure in Black patients: Implications of the U.S. Food and Drug Administration approval. Ann Intern Med 146: 52–56, 2007 [DOI] [PubMed] [Google Scholar]
- 25.Vyas DA, Eisenstein LG, Jones DS: Hidden in plain sight—Reconsidering the use of race correction in clinical algorithms. N Engl J Med 383: 874–882, 2020 [DOI] [PubMed] [Google Scholar]
- 26.Ford CL, Airhihenbuwa CO: Critical Race Theory, race equity, and public health: Toward antiracism praxis. Am J Public Health 100[Suppl 1]: S30–S35, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Duster T: Medicine. Race and reification in science. Science 307: 1050–1051, 2005 [DOI] [PubMed] [Google Scholar]
- 28.Duster T: A post-genomic surprise. The molecular reinscription of race in science, law and medicine. Br J Sociol 66: 1–27, 2015 [DOI] [PubMed] [Google Scholar]
- 29.Bailey ZD, Krieger N, Agénor M, Graves J, Linos N, Bassett MT: Structural racism and health inequities in the USA: Evidence and interventions. Lancet 389: 1453–1463, 2017 [DOI] [PubMed] [Google Scholar]
- 30.Krieger N: Living and dying at the crossroads: Racism, embodiment, and why theory is essential for a public health of consequence. Am J Public Health 106: 832–833, 2016 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Braveman PA, Kumanyika S, Fielding J, LaVeist T, Borrell LN, Manderscheid R, Troutman A: Health disparities and health equity: The issue is justice. Am J Public Health 101[Suppl 1]: S149–S155, 2011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Montagu MFA: Man’s Most Dangerous Myth: The Fallacy of Race, New York, Columbia University Press, 1942 [Google Scholar]
- 33.From HN: Nation to “race”: The origin of racial classification in eighteenth-century thought. Eighteenth Century Stud 29: 247–264, 1996 [Google Scholar]
- 34.Feagin J, Bennefield Z: Systemic racism and U.S. health care. Soc Sci Med 103: 7–14, 2014 [DOI] [PubMed] [Google Scholar]
- 35.Aronson J, Burgess D, Phelan SM, Juarez L: Unhealthy interactions: The role of stereotype threat in health disparities. Am J Public Health 103: 50–56, 2013 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Dovidio JF, Gaertner SL, Pearson AR: Aversive racism and contemporary bias. In: The Cambridge Handbook of the Psychology of Prejudice, edited by Sibley CG, Barlow FK, Cambridge, United Kingdom, Cambridge University Press, 2017, pp 267–294
- 37.Alang S, McAlpine D, McCreedy E, Hardeman R: Police brutality and Black health: Setting the agenda for public health scholars. Am J Public Health 107: 662–665, 2017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Schulman KA, Berlin JA, Harless W, Kerner JF, Sistrunk S, Gersh BJ, Dubé R, Taleghani CK, Burke JE, Williams S, Eisenberg JM, Escarce JJ: The effect of race and sex on physicians’ recommendations for cardiac catheterization. N Engl J Med 340: 618–626, 1999 [DOI] [PubMed] [Google Scholar]
- 39.Mohottige D, Diamantidis CJ, Norris KC, Boulware LE: Racism and kidney health: Turning equity into a reality. Am J Kidney Dis 77: 951–962, 2021 [DOI] [PubMed] [Google Scholar]
- 40.Benjamin R: Race after Technology: Abolitionist Tools for the New Jim Code, Cambridge, United Kingdom, Polity, 2019 [Google Scholar]
- 41.Jones CP: Systems of power, axes of inequity: Parallels, intersections, braiding the strands. Med Care 52[10 Suppl 3]: S71–S75, 2014 [DOI] [PubMed] [Google Scholar]
- 42.Jones CP: Toward the science and practice of anti-racism: Launching a national campaign against racism. Ethn Dis 28[Suppl 1]: 231–234, 2018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Elias A, Paradies Y: The costs of institutional racism and its ethical implications for healthcare. J Bioeth Inq 18: 45–58, 2021 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Schaefer RT, editor: Encyclopedia of Race, Ethnicity, and Society, Thousand Oaks, CA, Sage Publications, 2008 [Google Scholar]
- 45.Henricks K: The Wiley Blackwell Encyclopedia of Race, Ethnicity, and Nationalism, New York, Wiley, 2015 [Google Scholar]
- 46.Bonilla-Silva E: Rethinking racism: Toward a structural interpretation. Am Sociol Rev 62: 465–480, 1997 [Google Scholar]
- 47.Darity W Jr., Hamilton D, Paul M, et al. : What We Get Wrong about Closing the Racial Wealth Gap, Samuel DuBois Cook Center on Social Equity and Insight Center for Community Economic Development, 2018 [Google Scholar]
- 48.Hamilton D, Darity WA: The political economy of education, financial literacy, and the racial wealth gap, Durham, NC, The Samuel Dubois Cook Center on Social Equity at Duke University, 2017
- 49.Johnson-Staub C: Equity Starts Early: Addressing Racial Inequities in Child Care and Early Education Policy, Washington, DC, Center for Law and Social Policy, Inc., 2017 [Google Scholar]
- 50.Pitt E, Gallegos D, Comans T, Cameron C, Thornton L: Exploring the influence of local food environments on food behaviours: A systematic review of qualitative literature. Public Health Nutr 20: 2393–2405, 2017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Suarez JJ, Isakova T, Anderson CAM, Boulware LE, Wolf M, Scialla JJ: Food access, chronic kidney disease, and hypertension in the U.S. Am J Prev Med 49: 912–920, 2015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Haley DF, Edmonds A, Schoenbach VJ, Ramirez C, Hickson DA, Wingood GM, Bolivar H, Golub E, Adimora AA: Associations between county-level voter turnout, county-level felony voter disenfranchisement, and sexually transmitted infections among women in the Southern United States. Ann Epidemiol 29: 67–73.e1, 2019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Wildeman C, Wang EA: Mass incarceration, public health, and widening inequality in the USA. Lancet 389: 1464–1474, 2017 [DOI] [PubMed] [Google Scholar]
- 54.Pulido L: Rethinking environmental racism: White privilege and urban development in Southern California. Ann Assoc Am Geogr 90: 12–40, 2000 [Google Scholar]
- 55.Gee GC, Ford CL: STRUCTURAL RACISM AND HEALTH INEQUITIES: Old issues, new directions. Du Bois Rev 8: 115–132, 2011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Largent EA: Public health, racism, and the lasting impact of hospital segregation. Public Health Rep 133: 715–720, 2018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Geronimus AT, Hicken M, Keene D, Bound J: “Weathering” and age patterns of allostatic load scores among blacks and whites in the United States. Am J Public Health 96: 826–833, 2006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Lunyera J, Stanifer JW, Davenport CA, Mohottige D, Bhavsar NA, Scialla JJ, Pendergast J, Boulware EB, Jonas Diamantidis C: Life course socioeconomic status, allostatic load, and kidney health in Black Americans. Clin J Am Soc Nephrol 15: 341–348, 2020 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.McEwen BS: Allostasis and allostatic load: Implications for neuropsychopharmacology. Neuropsychopharmacology 22: 108–124, 2000 [DOI] [PubMed] [Google Scholar]
- 60.Schulz AJ, Mentz G, Lachance L, Johnson J, Gaines C, Israel BA: Associations between socioeconomic status and allostatic load: Effects of neighborhood poverty and tests of mediating pathways. Am J Public Health 102: 1706–1714, 2012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Thames AD, Irwin MR, Breen EC, Cole SW: Experienced discrimination and racial differences in leukocyte gene expression. Psychoneuroendocrinology 106: 277–283, 2019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Lanford D, Quadagno J: Implementing ObamaCare: The politics of Medicaid expansion under the Affordable Care Act of 2010. Sociol Perspect 59: 619–639, 2016 [Google Scholar]
- 63.Allen HL, Eliason E, Zewde N, Gross T: Can Medicaid expansion prevent housing evictions? Health Aff 38: 1451–1457, 2019 [DOI] [PubMed] [Google Scholar]
- 64.Harhay MN, McKenna RM, Boyle SM, Ranganna K, Mizrahi LL, Guy S, Malat GE, Xiao G, Reich DJ, Harhay MO: Association between Medicaid expansion under the Affordable Care Act and preemptive listings for kidney transplantation. Clin J Am Soc Nephrol 13: 1069–1078, 2018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Khatana SAM, Bhatla A, Nathan AS, Giri J, Shen C, Kazi DS, Yeh RW, Groeneveld PW: Association of Medicaid expansion with cardiovascular mortality. JAMA Cardiol 4: 671–679, 2019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.American Society of Human Genetics (ASHG) : ASHG denounces attempts to link genetics and racial supremacy. Am J Hum Genet 103: 636, 2018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Royal CD, Novembre J, Fullerton SM, Goldstein DB, Long JC, Bamshad MJ, Clark AG: Inferring genetic ancestry: Opportunities, challenges, and implications. Am J Hum Genet 86: 661–673, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Mathieson I, Scally A: What is ancestry? PLoS Genet 16: e1008624, 2020 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Borrell LN, Elhawary JR, Fuentes-Afflick E, Witonsky J, Bhakta N, Wu AHB, Bibbins-Domingo K, Rodríguez-Santana JR, Lenoir MA, Gavin JR 3rd, Kittles RA, Zaitlen NA, Wilkes DS, Powe NR, Ziv E, Burchard EG: Race and genetic ancestry in medicine - A time for reckoning with racism. N Engl J Med 384: 474–480, 2021 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Jones CP: Invited commentary: “Race,” racism, and the practice of epidemiology. Am J Epidemiol 154: 299–304, 2001 [DOI] [PubMed] [Google Scholar]
- 71.Hunt LM, Megyesi MS: The ambiguous meanings of the racial/ethnic categories routinely used in human genetics research. Soc Sci Med 66: 349–361, 2008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Wailoo K, Nelson A, Lee C: Genetics and the Unsettled Past: The Collision of DNA, Race, and History, New Brunswick, NJ, Rutgers University Press, 2012 [Google Scholar]
- 73.Peterson RE, Kuchenbaecker K, Walters RK, Chen CY, Popejoy AB, Periyasamy S, Lam M, Iyegbe C, Strawbridge RJ, Brick L, Carey CE, Martin AR, Meyers JL, Su J, Chen J, Edwards AC, Kalungi A, Koen N, Majara L, Schwarz E, Smoller JW, Stahl EA, Sullivan PF, Vassos E, Mowry B, Prieto ML, Cuellar-Barboza A, Bigdeli TB, Edenberg HJ, Huang H, Duncan LE: Genome-wide association studies in ancestrally diverse populations: Opportunities, methods, pitfalls, and recommendations. Cell 179: 589–603, 2019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Mersha TB, Abebe T: Self-reported race/ethnicity in the age of genomic research: Its potential impact on understanding health disparities. Hum Genomics 9: 1, 2015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Foster MW: Looking for race in all the wrong places: Analyzing the lack of productivity in the ongoing debate about race and genetics. Hum Genet 126: 355–362, 2009 [DOI] [PubMed] [Google Scholar]
- 76.Tishkoff SA, Reed FA, Friedlaender FR, Ehret C, Ranciaro A, Froment A, Hirbo JB, Awomoyi AA, Bodo J-M, Doumbo O, Ibrahim M, Juma AT, Kotze MJ, Lema G, Moore JH, Mortensen H, Nyambo TB, Omar SA, Powell K, Pretorius GS, Smith MW, Thera MA, Wambebe C, Weber JL, Williams SM: The genetic structure and history of Africans and African Americans. Science 324: 1035–1044, 2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Reed FA, Tishkoff SA: African human diversity, origins and migrations. Curr Opin Genet Dev 16: 597–605, 2006 [DOI] [PubMed] [Google Scholar]
- 78.Serre D, Pääbo S: Evidence for gradients of human genetic diversity within and among continents. Genome Res 14: 1679–1685, 2004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Fujimura JH, Rajagopalan R: Different differences: The use of 'genetic ancestry' versus race in biomedical human genetic research. Soc Stud Sci 41: 5–30, 2011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Cerdeña JP, Tsai J, Grubbs V: APOL1, Black race, and kidney disease: Turning attention to structural racism. Am J Kidney Dis 77: 857–860, 2021 [DOI] [PubMed] [Google Scholar]
- 81.Duster T: Backdoor to Eugenics, New York, Psychology Press, 2003 [Google Scholar]
- 82.Fujimura JH, Duster T, Rajagopalan R: Race, genetics, and disease: Questions of evidence, matters of consequence. Soc Stud Sci 38: 643–656, 2008 [DOI] [PubMed] [Google Scholar]
- 83.Cooper RS, Nadkarni GN, Ogedegbe G: Race, ancestry, and reporting in medical journals. JAMA 320: 1531–1532, 2018 [DOI] [PubMed] [Google Scholar]
- 84.Jones CP, LaVeist TA, Lillie-Blanton M: “Race” in the epidemiologic literature: An examination of the American Journal of Epidemiology, 1921-1990. Am J Epidemiol 134: 1079–1084, 1991 [DOI] [PubMed] [Google Scholar]
- 85.La Veist TA: Why we should continue to study race ... but do a better job: An essay on race, racism and health. Ethn Dis 6: 21–29, 1996 [PubMed] [Google Scholar]
- 86.Ford CL, Harawa NT: A new conceptualization of ethnicity for social epidemiologic and health equity research. Soc Sci Med 71: 251–258, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Hayes-Bautista DE, Bryant M, Yudell M, Hayes-Bautista TM, Partlow K, Popejoy AB, Burchard E, Hsu P: Office of Management and Budget Racial/Ethnic Categories in Mortality Research: A framework for including the voices of racialized communities. Am J Public Health 111[S2]: S133–S140, 2021 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Boyd RW, Lindo EG, Weeks LD, McLemore MR: On racism: A new standard for publishing on racial health inequities, 2020. Available at: https://www.healthaffairs.org/do/10.1377/hblog20200630.939347/full/. Accessed March 10, 2021
- 89.Crenshaw K: Mapping the margins: Intersectionality, identity politics, and violence against women of color. Stanford Law Rev 43: 1241–1299, 1991 [Google Scholar]
- 90.Morgenstern H: Defining and explaining race effects. Epidemiology 8: 609–611, 1997 [DOI] [PubMed] [Google Scholar]
- 91.Kaufman JS, Cooper RS, McGee DL: Socioeconomic status and health in blacks and whites: The problem of residual confounding and the resiliency of race. Epidemiology 8: 621–628, 1997 [PubMed] [Google Scholar]
- 92.EdBuild : Nonwhite school districts get $23 billion less than white districts despite serving the same number of students, 2019. Available at: https://psmag.com/education/nonwhite-school-districts-get-23-billion-less-funding-than-white-ones. Accessed March 10, 2021
- 93.Kauh TJ, Read JG, Scheitler AJ: The critical role of racial/ethnic data disaggregation for health equity. Popul Res Policy Rev 40: 1–7, 2021 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Johns TS, Estrella MM, Crews DC, Appel LJ, Anderson CA, Ephraim PL, Cook C, Boulware LE: Neighborhood socioeconomic status, race, and mortality in young adult dialysis patients. J Am Soc Nephrol 25: 2649–2657, 2014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Volkova N, McClellan W, Klein M, Flanders D, Kleinbaum D, Soucie JM, Presley R: Neighborhood poverty and racial differences in ESRD incidence. J Am Soc Nephrol 19: 356–364, 2008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Subramanian SV, Jones K, Kaddour A, Krieger N: Revisiting Robinson: The perils of individualistic and ecologic fallacy. Int J Epidemiol 38: 342–360, 2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Morgenstern H, Thomas D: Principles of study design in environmental epidemiology. Environ Health Perspect 101[Suppl 4]: 23–38, 1993 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Robinson WS: Ecological correlations and the behavior of individuals. Am Soc Rev 15: 351–357, 1950 [DOI] [PubMed] [Google Scholar]
- 99.James PA, Oparil S, Carter BL, Cushman WC, Dennison-Himmelfarb C, Handler J, Lackland DT, LeFevre ML, MacKenzie TD, Ogedegbe O, Smith SC Jr., Svetkey LP, Taler SJ, Townsend RR, Wright JT Jr., Narva AS, Ortiz E: 2014 evidence-based guideline for the management of high blood pressure in adults: Report from the panel members appointed to the Eighth Joint National Committee (JNC 8). JAMA 311: 507–520, 2014 [DOI] [PubMed] [Google Scholar]
- 100.Bragg-Gresham J, Zhang X, Le D, Heung M, Shahinian V, Morgenstern H, Saran R: Prevalence of chronic kidney disease among black individuals in the US after removal of the black race coefficient from a glomerular filtration rate estimating equation. JAMA Netw Open 4: e2035636, 2021 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Zelnick LR, Leca N, Young B, Bansal N: Association of the estimated glomerular filtration rate with vs without a coefficient for race time to eligibility for kidney transplant. JAMA Netw Open 4: e2034004, 2021 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Diao JA, Wu GJ, Taylor HA, Tucker JK, Powe NR, Kohane IS, Manrai AK: Clinical implications of removing race from estimates of kidney function. JAMA 325: 184–186, 2021 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Ahmed S, Nutt CT, Eneanya ND, Reese PP, Sivashanker K, Morse M, Sequist T, Mendu ML: Examining the potential impact of race multiplier utilization in estimated glomerular filtration rate calculation on African-American care outcomes. J Gen Intern Med 36: 464–471, 2021 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Sabin J, Nosek BA, Greenwald A, Rivara FP: Physicians' implicit and explicit attitudes about race by MD race, ethnicity, and gender. J Health Care Poor Underserved 20: 896–913, 2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Rivara FP, Bradley SM, Catenacci DV, Desai AN, Ganguli I, Haneuse SJPA, Inouye SK, Jacobs EA, Kan K, Kim HS, Morris AM, Ogedegbe O, Perencevich EN, Perlis RH, Powell E, Rubenfeld GD, Shulman LN, Trueger NS, Fihn SD: Structural racism and JAMA Network Open. JAMA Netw Open 4: e2120269, 2021 [DOI] [PubMed] [Google Scholar]
- 106.Smedley BD, Stith AY, Nelson AR: Institute of Medicine, Committee on Understanding and Eliminating Racial and Ethnic Disparities in Health Care. Unequal Treatment: Confronting Racial and Ethnic Disparities in Healthcare, Washington, DC, National Academies Press, 2003 [PubMed] [Google Scholar]
- 107.Greenwood BN, Hardeman RR, Huang L, Sojourner A: Physician-patient racial concordance and disparities in birthing mortality for newborns. Proc Natl Acad Sci U S A 117: 21194–21200, 2020 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Greenwood BN, Carnahan S, Huang L: Patient-physician gender concordance and increased mortality among female heart attack patients. Proc Natl Acad Sci U S A 115: 8569–8574, 2018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Jackson JS, Knight KM, Rafferty JA: Race and unhealthy behaviors: Chronic stress, the HPA axis, and physical and mental health disparities over the life course. Am J Public Health 100: 933–939, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Thorpe JR, Norris KC, Beech BM, Bruce MA: Racism across the life course. In: Is It Race or Racism?: State of the Evidence & Tools for the Public Health Professional, 1st Ed., Washington, DC, APHA, 2019, pp 209–219 [Google Scholar]
- 111.Dehaene S, Kerszberg M, Changeux J-P: A neuronal model of a global workspace in effortful cognitive tasks. Proc Natl Acad Sci U S A 95: 14529–14534, 1998 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Flanagin A, Frey T, Christiansen SL, Bauchner H: The reporting of race and ethnicity in medical and science journals: Comments invited. JAMA 325: 1049–1052, 2021 [DOI] [PubMed] [Google Scholar]
- 113.Fetters MD, Wu JP, Paul Chandanabhumma P: Words matter: Calling on the community of research to recognize, react to, and remove racializing research rhetoric. J Mixed Methods Res 15: 6–17, 2020 [Google Scholar]
- 114.Merchant RM, Del Rio C, Boulware LE: Structural racism and scientific journals-A teachable moment. JAMA 326: 607–608, 2021 [DOI] [PubMed] [Google Scholar]
- 115.Goddu AP, O'Conor KJ, Lanzkron S, Saheed MO, Saha S, Peek ME, Haywood C Jr., Beach MC: Do words matter? Stigmatizing language and the transmission of bias in the medical record [published correction appears in J Gen Intern Med 34: 164, 2019]. J Gen Intern Med 33: 685–691, 2018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116.Pew Research Center : What census calls us, 2020. Available at: https://www.pewresearch.org/interactives/what-census-calls-us/. Accessed March 10, 2021
- 117.Braveman P, Arkin E, Orleans T, Proctor D, Plough A: What Is Health Equity? And What Difference Does a Definition Make?, Princeton, NJ, Robert Wood Johnson Foundation, 2017 [Google Scholar]
- 118.Braveman P: What are health disparities and health equity? We need to be clear. Public Health Rep 129[Suppl 2]: 5–8, 2014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119.Bonilla-Silva E, Embrick DG: Racism without racists: “Killing me softly” with color blindness. In: Reinventing Critical Pedagogy: Widening the Circle of Anti-Oppression Education, edited by Rossatto CA, Allen RL, Pruyn M, Lanham, MD, Rowman & Littlefield Publishers, 2006, pp 21–34 [Google Scholar]
- 120.Neville HA, Gallardo ME, Sue DW, editors: The Myth of Racial Color Blindness: Manifestations, Dynamics, and Impact, Washington, DC, American Psychological Association, 2016 [Google Scholar]
- 121.Bonilla-Silva E: Racism without Racists: Color-Blind Racism and the Persistence of Racial Inequality in the United States, Lanham, MD, Rowman & Littlefield Publishers, 2006 [Google Scholar]
- 122.Collins PH: Science, critical race theory and colour-blindness. Br J Sociol 66: 46–52, 2015 [DOI] [PubMed] [Google Scholar]
- 123.Purnell TS, Luo X, Cooper LA, Massie AB, Kucirka LM, Henderson ML, Gordon EJ, Crews DC, Boulware LE, Segev DL: Association of race and ethnicity with live donor kidney transplantation in the United States from 1995 to 2014. JAMA 319: 49–61, 2018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124.Gross CP, Essien UR, Pasha S, Gross JR, Wang S-y, Nunez-Smith M: Racial and ethnic disparities in population level Covid-19 mortality. J Gen Intern Med 35: 3097–3099, 2020 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125.Essien UR, Venkataramani A: Data and policy solutions to address racial and ethnic disparities in the COVID-19 pandemic. JAMA Health Forum 1: e200535, 2020. 10.1001/jamahealthforum.2020.0535 [DOI] [PubMed] [Google Scholar]