Structural Racism as a Contributor to Lung Cancer Incidence and Mortality Rates Among Black Populations in the United States.

BACKGROUND: Although racial disparities in lung cancer incidence and mortality have diminished in recent years, lung cancer remains the second most diagnosed cancer among US Black populations. Many factors contributing to disparities in lung cancer are rooted in structural racism. To quantify this relationship, we examined associations between a multidimensional measure of county-level structural racism and county lung cancer incidence and mortality rates among Black populations, while accounting for county levels of environmental quality. METHODS: We merged 2016-2020 data from the United States Cancer Statistics Data Visualization Tool, a pre-existing county-level structural racism index, the Environmental Protection Agency's 2006-2010 Environmental Quality Index (EQI), 2023 County Health Rankings, and the 2021 United States Census American Community Survey. We conducted multivariable linear regressions to examine associations between county-level structural racism and county-level lung cancer incidence and mortality rates. RESULTS: Among Black males and females, each standard deviation increase in county-level structural racism score was associated with an increase in county-level lung cancer incidence of 6.4 (95% CI: 4.4, 8.5) cases per 100,000 and an increase of 3.3 (95% CI: 2.0, 4.6) lung cancer deaths per 100,000. When examining these associations stratified by sex, larger associations between structural racism and lung cancer rates were observed among Black male populations than among Black females. CONCLUSION: Structural racism contributes to both the number of new lung cancer cases and the number of deaths caused by lung cancer among Black populations. Those aiming to reduce lung cancer cases and deaths should consider addressing racism as a root-cause.

Structural gendered racism and preterm birth inequities in the United States.

Structural gendered racism - the "totality of interconnectedness between structural racism and sexism" - is conceptualized as a fundamental cause of the persistent preterm birth inequities experienced by Black and Indigenous people in the United States. Our objective was to develop a state-level latent class measure of structural gendered racism and examine its association with preterm birth among all singleton live births in the US in 2019. Using previously-validated inequity indicators between White men and Black women across 9 domains (education, employment, poverty, homeownership, health insurance, segregation, voting, political representation, incarceration), we conducted a latent profile analysis to identify a latent categorical variable with k number of classes that have similar values on the observed continuous input variables. Racialized group-stratified multilevel modified Poisson regression models with robust variance and random effects for state assessed the association between state-level classes and preterm birth. We found four distinct latent classes that were all characterized by higher levels of disadvantage for Black women and advantages for White men, but the magnitude of that difference varied by latent class. We found preterm birth risk among Black birthing people was higher across all state-level latent classes compared to White birthing people, and there was some variation of preterm birth risk across classes among Black but not White birthing people. These findings further emphasize the importance of understanding and interrogating the whole system and the need for multifaceted policy solutions.

Everyday Discrimination Is Associated With Higher Odds of Hospitalizations Among Older African Americans.

BACKGROUND: Everyday discrimination-experiences of being treated unfairly based on background characteristics like race-is linked to poor physical and mental health throughout the lifespan. Whether more experiences of discrimination are associated with higher odds of being hospitalized in older African Americans has not been explored. METHODS: Community-dwelling participants from 3 longitudinal cohort studies (N = 446, age 65+ years) with discrimination scores and ≥12 months of linked Medicare claims were included. Hospitalizations were identified using Medicare fee-for-service claims, available for an average of 6.2 (SD: 3.7) years of follow-up after baseline. RESULTS: In mixed-effects ordinal logistic regression models (outcomes of 0, 1, or 2+ hospitalizations per year) adjusted for age, sex, education, and income, higher discrimination was associated with higher odds of total annual hospitalizations (odds ratio [OR] per point higher = 1.09, 95% confidence intervals [95% CI]: 1.02-1.17). Results were similar when accounting for depressive symptoms. CONCLUSIONS: Higher exposure to everyday discrimination is associated with higher odds of hospitalization among older African Americans. Mechanisms underlying associations should be explored further to understand how hospitalizations may be reduced in older African Americans.

Racial disparities in the selection of chief resident: A cross-sectional analysis of a national sample of senior residents in the United States.

INTRODUCTION: Part of the difficulty in recruiting and retaining a diverse physician workforce, as well as within medical leadership, is due to racial disparities in medical education. We investigated whether self-identified race-ethnicity is associated with the likelihood of selection as chief resident (CR). MATERIALS AND METHODS: We performed a cross sectional analysis using de-identified person-level data from the GME Track, a national resident database and tracking system, from 2015 through 2018. The exposure variable, self-identified race-ethnicity, was categorized as African American or Black, American Indian or Alaskan Native, Asian, Hispanic, Latino or of Spanish Origin, Native Hawaiian or Pacific Islander, White, and Multi-racial. The primary study outcome was CR selection among respondents in their final program year. Logistic regression was used to estimate the adjusted odds ratios (aOR) and 95% confidence intervals (CI) of CR selection for each racial group, as compared to the White referent group. RESULTS: Among the study population (N=121,247), Black, Asian and Hispanic race-ethnicity was associated with a significantly decreased odds of being selected as CR in unadjusted and adjusted analyses. Black, Asian and Hispanic residents had a 26% (aOR=0.74, 95% CI 0.66-0.83), 29% (aOR=0.71, 95% CI 0.66-0.76) and 28% (aOR=0.72, 95% CI 0.66-0.94) decreased likelihood of becoming CR, respectively. Multi-racial residents also had a decreased likelihood, but to a lesser degree (aOR=0.92, 95% CI 0.89-0.95). CONCLUSIONS: In as much as CR is an honor that sets one up for future opportunity, our findings suggest that residents of color are disproportionately disadvantaged compared to their White peers.

Racial and ethnic inequities in psychiatric inpatient building and unit assignment.

Racism is a social determinant of mental health which has a disproportionally negative impact on the experiences of psychiatric inpatients of color. Distinct differences in the physical space and clinical settings of two inpatient buildings at a hospital system in the tristate (New York, New Jersey, Connecticut) area of the United States led to the present investigation of racial inequities in the assignment of patients to specific buildings and units. Archival electronic medical record data were analyzed from over 18,000 unique patients over a period of six years. Hierarchical logistic regression analyses were conducted with assigned building (old vs. new building) as the binary outcome variable. Non-Hispanic White patients were set as the reference group. Black, Hispanic/Latinx, and Asian patients were significantly less likely to be assigned to better resourced units in the new building. When limiting the analysis to only general adult units, Black and Hispanic/Latinx patients were significantly less likely to be assigned to units in the new building. These results suggest ethnoracial inequities in patient assignment to buildings which differed in clinical and physical conditions. The findings serve as a call to action for hospital systems to examine the ways in which structural racism impact clinical care.

Factors leading to disparity in lung cancer diagnosis among black/African American communities in the USA: a qualitative study.

OBJECTIVE: This study has two objectives: first, to explore the diagnostic experiences of black/African American (BAA) patients with lung cancer to pinpoint pitfalls, suboptimal experiences and instances of discrimination leading to disparities in outcomes compared with patients of other ethnic backgrounds, especially white patients. The second objective is to identify the underlying causes contributing to health disparities in the diagnosis of lung cancer among BAA patients. METHODS: We employed a phenomenological research approach, guiding in-depth interviews with patients self-identifying as BAA diagnosed with lung cancer, as well as caregivers, healthcare professionals and community advocates knowledgeable about BAA experiences with lung cancer. We performed thematic analysis to identify experiences at patient, primary care and specialist levels. Contributing factors were identified using the National Institute of Minority Health and Health Disparities (NIMHD) health disparity model. RESULTS: From March to November 2021, we conducted individual interviews with 19 participants, including 9 patients/caregivers and 10 providers/advocates. Participants reported recurring and increased pain before seeking treatment, treatment for non-cancer illnesses, delays in diagnostic tests and referrals, poor communication and bias when dealing with specialists and primary care providers. Factors contributing to suboptimal experiences included reluctance by insurers to cover costs, provider unwillingness to conduct comprehensive testing, provider bias in recommending treatment, high healthcare costs, and lack of healthcare facilities and qualified staff to provide necessary support. However, some participants reported positive experiences due to their insurance, availability of services and having an empowered support structure. CONCLUSIONS: BAA patients and caregivers encountered suboptimal experiences during their care. The NIMHD model is a useful framework to organise factors contributing to these experiences that may be leading to health disparities. Additional research is needed to fully capture the extent of these experiences and identify ways to improve BAA patient experiences in the lung cancer diagnosis pathway.

Racism, early psychosis, and institutional contact: A qualitative study of Indigenous experiences.

BACKGROUND: There is evidence of Indigenous and ethnic minority inequities in the incidence and outcomes of early psychosis. Racism has been implicated as having an important role. AIM: To use Indigenous experiences to develop a more detailed understanding of how racism operates to impact early psychosis outcomes. METHODS: Critical Race Theory informed the methodology used. Twenty-three Indigenous participants participated in four family focus group interviews and thirteen individual interviews, comprising of 9 Maori youth with early psychosis, 10 family members and 4 Maori mental health professionals. An analysis of the data was undertaken using deductive structural coding to identify descriptions of racism, followed by inductive descriptive and pattern coding. RESULTS: Participant experiences revealed how racism operates as a socio-cultural phenomenon that interacts with institutional policy and culture across systems pertaining to social responsiveness, risk discourse, and mental health service structures. This is described across three major themes: 1) selective responses based on racial stereotypes, 2) race related risk assessment bias and 3) institutional racism in the mental health workforce. The impacts of racism were reported as inaction in the face of social need, increased use of coercive practices and an under resourced Indigenous mental health workforce. CONCLUSION: The study illustrated the inter-related nature of interpersonal, institutional and structural racism with examples of interpersonal racism in the form of negative stereotypes interacting with organizational, socio-cultural and political priorities. These findings indicate that organizational cultures may differentially impact Indigenous and minority people and that social responsiveness, risk discourse and the distribution of workforce expenditure are important targets for anti-racism efforts.

Workplace Harassment, Cyber Incivility, and Climate in Academic Medicine.

Importance: The culture of academic medicine may foster mistreatment that disproportionately affects individuals who have been marginalized within a given society (minoritized groups) and compromises workforce vitality. Existing research has been limited by a lack of comprehensive, validated measures, low response rates, and narrow samples as well as comparisons limited to the binary gender categories of male or female assigned at birth (cisgender). Objective: To evaluate academic medical culture, faculty mental health, and their relationship. Design, Setting, and Participants: A total of 830 faculty members in the US received National Institutes of Health career development awards from 2006-2009, remained in academia, and responded to a 2021 survey that had a response rate of 64%. Experiences were compared by gender, race and ethnicity (using the categories of Asian, underrepresented in medicine [defined as race and ethnicity other than Asian or non-Hispanic White], and White), and lesbian, gay, bisexual, transgender, queer (LGBTQ+) status. Multivariable models were used to explore associations between experiences of culture (climate, sexual harassment, and cyber incivility) with mental health. Exposures: Minoritized identity based on gender, race and ethnicity, and LGBTQ+ status. Main Outcomes and Measures: Three aspects of culture were measured as the primary outcomes: organizational climate, sexual harassment, and cyber incivility using previously developed instruments. The 5-item Mental Health Inventory (scored from 0 to 100 points with higher values indicating better mental health) was used to evaluate the secondary outcome of mental health. Results: Of the 830 faculty members, there were 422 men, 385 women, 2 in nonbinary gender category, and 21 who did not identify gender; there were 169 Asian respondents, 66 respondents underrepresented in medicine, 572 White respondents, and 23 respondents who did not report their race and ethnicity; and there were 774 respondents who identified as cisgender and heterosexual, 31 as having LGBTQ+ status, and 25 who did not identify status. Women rated general climate (5-point scale) more negatively than men (mean, 3.68 [95% CI, 3.59-3.77] vs 3.96 [95% CI, 3.88-4.04], respectively, P < .001). Diversity climate ratings differed significantly by gender (mean, 3.72 [95% CI, 3.64-3.80] for women vs 4.16 [95% CI, 4.09-4.23] for men, P < .001) and by race and ethnicity (mean, 4.0 [95% CI, 3.88-4.12] for Asian respondents, 3.71 [95% CI, 3.50-3.92] for respondents underrepresented in medicine, and 3.96 [95% CI, 3.90-4.02] for White respondents, P = .04). Women were more likely than men to report experiencing gender harassment (sexist remarks and crude behaviors) (71.9% [95% CI, 67.1%-76.4%] vs 44.9% [95% CI, 40.1%-49.8%], respectively, P < .001). Respondents with LGBTQ+ status were more likely to report experiencing sexual harassment than cisgender and heterosexual respondents when using social media professionally (13.3% [95% CI, 1.7%-40.5%] vs 2.5% [95% CI, 1.2%-4.6%], respectively, P = .01). Each of the 3 aspects of culture and gender were significantly associated with the secondary outcome of mental health in the multivariable analysis. Conclusions and Relevance: High rates of sexual harassment, cyber incivility, and negative organizational climate exist in academic medicine, disproportionately affecting minoritized groups and affecting mental health. Ongoing efforts to transform culture are necessary.

Vicarious severe school discipline predicts racial disparities among non-disciplined Black and White American adolescents.

Racial disparities in school discipline may have collateral consequences on the larger non-suspended student population. The present study leveraged two longitudinal datasets with 1201 non-suspended adolescents (48% Black, 52% White; 55% females, 45% males; Mage : 12-13) enrolled in 84 classrooms in an urban mid-Atlantic city of the United States during the 2016-2017 and 2017-2018 academic years. Classmates' minor infraction suspensions predicted greater next year's defiant infractions among non-suspended Black adolescents, and this longitudinal relation was worse for Black youth enrolled in predominantly Black classrooms. For White youth, classmates' minor infraction suspensions predicted greater defiant infractions specifically when they were enrolled in predominantly non-White classrooms. Racial inequities in school discipline may have repercussions that disadvantage all adolescents regardless of race.

Racial Disparity in Tympanostomy Tube Placement in Inpatient Pediatric Admissions.

This study aims to evaluate if race and ethnicity affect rates of tympanostomy tube (TT) placement during inpatient pediatric admissions in children with otologic conditions. A review of the 2016 Kids' Inpatient Database was conducted based on the International Classification of Diseases, 10th revision, Clinical Modification (ICD-10-CM) codes for common otologic conditions. Among 85 827 weighted pediatric inpatient discharges with ICD-10-CM codes for common otologic conditions, 213 underwent TT placement. Odds ratios (ORs) for children of Hispanic ethnicity and Asian or Pacific Islander race undergoing TT placement when compared to other ethnicities and races were 0.60 (P = .011) and 0.21 (P = .040), respectively. Multiple logistic regression showed Hispanic ethnicity was associated with lower rates of TT placement when compared to non-Hispanic white children (OR = 0.62; 95% confidence interval = 0.40-0.96). Future studies should assess why these differences exist and if these differences are associated with racial/ethnic bias or attributed to patient/family preference.

The relationship between state-level structural racism and disparities between the non-hispanic black and non-hispanic white populations in multiple health outcomes.

AIMS: While several studies have examined the impact of individual indicators of structural racism on single health outcomes, few have explicitly modeled racial disparities in a wide range of health outcomes using a multidimensional, composite structural racism index. This paper builds on the previous research by examining the relationship between state-level structural racism and a wider array of health outcomes, focusing on racial disparities in mortality from firearm homicide, infant mortality, stroke, diabetes, hypertension, asthma, HIV, obesity, and kidney disease. METHODS: We used a previously developed state structural racism index that consists of a composite score derived by averaging eight indicators across five domains: (1) residential segregation; (2) incarceration; (3) employment; (4) economic status/wealth; and (5) education. Indicators were obtained for each of the 50 states using Census data from 2020. We estimated the Black-White disparity in each health outcome in each state by dividing the age-adjusted mortality rate for the non-Hispanic Black population by the age-adjusted mortality rate for the non-Hispanic White population. These rates were obtained from the CDC WONDER Multiple Cause of Death database for the combined years 1999-2020. We conducted linear regression analyses to examine the relationship between the state structural racism index and the Black-White disparity in each health outcome across the states. In multiple regression analyses, we controlled for a wide range of potential confounding variables. RESULTS: Our calculations revealed striking geographic differences in the magnitude of structural racism, with the highest values generally being observed in the Midwest and Northeast. Higher levels of structural racism were significantly associated with greater racial disparities in mortality for all but two of the health outcomes. CONCLUSIONS: There is a robust relationship between structural racism and Black-White disparities in multiple health outcomes across states. Programs and policies to reduce racial heath disparities must include strategies to help dismantle structural racism and its consequences.

Racial/ethnic discrimination and suicide-related risk in a treatment-seeking group of ethnoracially minoritized adolescents.

INTRODUCTION AND AIMS: Despite growing evidence demonstrating the negative mental health effects of racism-related experiences, racial/ethnic discrimination is seldom examined in youth suicide risk. The present study tested the association between racial/ethnic discrimination and well-supported correlates of suicide-related risk including emotion reactivity and dysregulation, and severity of psychiatric symptoms in a sample of ethnoracially minoritized adolescents receiving outpatient psychiatric services. METHODS: Participants were adolescents (N = 46; 80.4% female; 65.2% Latinx) who ranged in age from 13-20 years old (M=15.42; SD=1.83) recruited from a child outpatient psychiatry clinic in a low-resourced community in Northeast US. Youth completed a clinical interview and a battery of surveys. RESULTS: Findings from separate linear regression models show that increases in frequency of racial/ethnic discrimination were associated with increases in severity of suicidal ideation (SI), independent of emotion reactivity and dysregulation, and symptoms of PTSD and depression. Discriminatory experiences involving personal insults, witnessing family being discriminated, and school-based contexts were uniquely associated with SI. DISCUSSION AND CONCLUSION: Preliminary findings support the association between racial/ethnic discrimination and increased severity of suicide-related risk in ethnoracially minoritized adolescents. Accounting for racial/ethnic discrimination may improve the cultural responsiveness of youth suicide prevention strategies within outpatient psychiatric care.

Using Implicit Measures of Discrimination: White, Black, and Hispanic Participants Respond Differently to Group-Specific Racial/Ethnic Categories vs. the General Category "People of Color" in the USA.

Recent studies showed that implicit measures are valuable instruments for assessing exposure to discrimination and predicting negative physical conditions. Between March 10, 2020, and April 1, 2020, we conducted three experiments (577 participants) in the USA to evaluate the use of group-specific vs. general race/ethnicity categories in implicit measures of discrimination. We measured implicit discrimination and attitudes towards the general race/ethnicity category "people of color" (POC) and two specific race/ethnicity categories (i.e., "Black people" and "Hispanic people"). Implicit discrimination and attitudes were assessed using the Brief Implicit Association Test (B-IAT). Among participants (mean age = 37, standard deviation = 10.5), 50% identified as White non-Hispanic (NH), 33.3% as Black NH, and 16.7% as Hispanic; 71.7% were female and 72.2% had a bachelor's degree or higher. We found an implicit discrimination towards target groups and an in-group preference among all participant groups only when specific race/ethnicity categories were used in the B-IAT. When the general category POC was used, we observed a discrimination towards POC only for Black NH participants, while White NH participants showed no discrimination. Similarly, Black NH participants showed no in-group preference for POC, but did show an in-group preference for Black people. These results suggest that using the category POC in implicit measures may be inappropriate when evaluating discrimination and attitudes towards Black and Hispanic individuals as it may not capture specific experiences of discrimination and identity in these groups.

Can Early Disadvantage Be Overcome? A Life Course Approach to Understanding How Disadvantage, Education, and Social Integration Impact Mortality into Middle Adulthood Among a Black American Cohort.

Health equity research has identified fundamental social causes of health, many of which disproportionately affect Black Americans, such as early life socioeconomic conditions, neighborhood disadvantage, and racial discrimination. However, the role of life course factors in premature mortality among Black Americans has not been tested extensively in prospective samples into later adulthood. To better understand how social factors at various life stages impact mortality, this study examines the effect of life course poverty, neighborhood disadvantage, and discrimination on mortality and factors that may buffer their effect (i.e., education, social integration) among the Woodlawn cohort (N = 1242), a community cohort of urban Black Americans followed since 1966. Taking a life course perspective, we analyze mortality data for deaths through age 58 years old, as well as data collected at ages 6, 16, 32, and 42. At age 58, 204 (16.4%) of the original cohort have died, with ages of death ranging from 9 to 58.98 (mean = 42.9). Cox proportional hazard models adjusting for confounders show statistically significant differences in mortality risk based on timing and persistence of poverty; those who were never poor or poor only in early life had lower mortality risk at ages 43-58 than those who were persistently poor from childhood to adulthood. Education beyond high school and high social integration were shown to reduce the risk of mortality more for those who did not experience poverty early in their life course. Findings have implications for the timing and content of mortality prevention efforts that span the full life course.

Differential retention contributes to racial/ethnic disparity in U.S. academia.

Several racial and ethnic identities are widely understood to be under-represented within academia, however, actual quantification of this under-representation is surprisingly limited. Challenges include data availability, demographic inertia and identifying comparison points. We use de-aggregated data from the U.S. National Science Foundation to construct a null model of ethnic and racial representation in one of the world's largest academic communities. Making comparisons between our model and actual representation in academia allows us to measure the effects of retention (while controlling for recruitment) at different academic stages. We find that, regardless of recruitment, failed retention contributes to mis-representation across academia and that the stages responsible for the largest disparities differ by race and ethnicity: for Black and Hispanic scholars this occurs at the transition from graduate student to postdoctoral researcher whereas for Native American/Alaskan Native and Native Hawaiian/Pacific Islander scholars this occurs at transitions to and within faculty stages. Even for Asian and Asian-Americans, often perceived as well represented, circumstances are complex and depend on choice of baseline. Our findings demonstrate that while recruitment continues to be important, retention is also a pervasive barrier to proportional representation. Therefore, strategies to reduce mis-representation in academia must address retention. Although our model does not directly suggest specific strategies, our framework could be used to project how representation in academia might change in the long-term under different scenarios.

Ethnic studies increases longer-run academic engagement and attainment.

Increased interest in anti-racist education has motivated the rapidly growing but politically contentious adoption of ethnic studies (ES) courses in US public schools. A long-standing rationale for ES courses is that their emphasis on culturally relevant and critically engaged content (e.g., social justice, anti-racism, stereotypes, contemporary social movements) has potent effects on student engagement and outcomes. However, the quantitative evidence supporting this claim is limited. In this preregistered regression-discontinuity study, we examine the longer-run impact of a grade 9 ES course offered in the San Francisco Unified School District. Our key confirmatory finding is that assignment to this course significantly increased the probability of high school graduation among students near the grade 8 2.0 grade point average (GPA) threshold used for assigning students to the course. Our exploratory analyses also indicate that assignment increased measures of engagement throughout high school (e.g., attendance) as well as the probability of postsecondary matriculation.