Examining the relationship between social determinants of health, measures of structural racism and county-level overdose deaths from 2017-2020.

INTRODUCTION: Despite being an important determinant of health outcomes, measures of structural racism are lacking in studies examining the relationship between the social determinants of health (SDOH) and overdose deaths. The aim of this study is to examine the association between per capita revenue generated from fines and forfeitures, a novel measure of structural racism, and other SDOH with county-level overdose deaths from 2017-2020. METHODS: This longitudinal analysis of 2,846 counties from 2017-2020 used bivariate and multivariate Generalized Estimating Equations models to estimate associations between county overdose mortality rates and SDOH characteristics, including the fines and forfeitures measure. RESULTS: In our multivariate model, higher per capita fine and forfeiture revenue (5.76; CI: 4.76, 6.78), households receiving food stamps (1.15; CI: 0.77, 1.53), residents that are veterans (1.07; CI: 0.52, 1.63), substance use treatment availability (4.69; CI: 3.03, 6.33) and lower population density (-0.002; CI: -0.004, -0.001) and percent of Black residents (-0.7`; CI: -1.01, -0.42) were significantly associated with higher overdose death rates. There was a significant additive interaction between the fines and forfeitures measure (0.10; CI: 0.03, 0.17) and the percent of Black residents. CONCLUSIONS: Our findings suggest that structural racism, along with other SDOH, is associated with overdose deaths. Future research should focus on connecting individual-level data on fines and forfeitures to overdose deaths and other health outcomes, include measures of justice-related fines, such as court fees, and assess whether interventions aimed at increasing economic vitality in disadvantaged communities impact overdose deaths in a meaningful way.

Exploring the Association Between Structural Racism and Mental Health: Geospatial and Machine Learning Analysis.

BACKGROUND: Structural racism produces mental health disparities. While studies have examined the impact of individual factors such as poverty and education, the collective contribution of these elements, as manifestations of structural racism, has been less explored. Milwaukee County, Wisconsin, with its racial and socioeconomic diversity, provides a unique context for this multifactorial investigation. OBJECTIVE: This research aimed to delineate the association between structural racism and mental health disparities in Milwaukee County, using a combination of geospatial and deep learning techniques. We used secondary data sets where all data were aggregated and anonymized before being released by federal agencies. METHODS: We compiled 217 georeferenced explanatory variables across domains, initially deliberately excluding race-based factors to focus on nonracial determinants. This approach was designed to reveal the underlying patterns of risk factors contributing to poor mental health, subsequently reintegrating race to assess the effects of racism quantitatively. The variable selection combined tree-based methods (random forest) and conventional techniques, supported by variance inflation factor and Pearson correlation analysis for multicollinearity mitigation. The geographically weighted random forest model was used to investigate spatial heterogeneity and dependence. Self-organizing maps, combined with K-means clustering, were used to analyze data from Milwaukee communities, focusing on quantifying the impact of structural racism on the prevalence of poor mental health. RESULTS: While 12 influential factors collectively accounted for 95.11% of the variability in mental health across communities, the top 6 factors-smoking, poverty, insufficient sleep, lack of health insurance, employment, and age-were particularly impactful. Predominantly, African American neighborhoods were disproportionately affected, which is 2.23 times more likely to encounter high-risk clusters for poor mental health. CONCLUSIONS: The findings demonstrate that structural racism shapes mental health disparities, with Black community members disproportionately impacted. The multifaceted methodological approach underscores the value of integrating geospatial analysis and deep learning to understand complex social determinants of mental health. These insights highlight the need for targeted interventions, addressing both individual and systemic factors to mitigate mental health disparities rooted in structural racism.

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.

White men can't jump, but do they still get picked first? Race and player selection in the NBA draft, 1980-2021.

Despite excelling at recruiting Black players, studies have repeatedly produced evidence of racial discrimination in the National Basketball Association (NBA). Through this study, we re-examine the topic of racial discrimination within the NBA through an analysis of the Association's annual entry draft. Using a novel dataset, we statistically model the relationship between player race and draft pick number using pooled data from 1980 to 2021. Overall, we find only limited evidence of racial discrimination. These findings are generally robust to sub-sample analyses, alternative specifications of our race variable, and alternate statistical modeling techniques. However, analyses performed on sub-samples of draft picks that participated in the NBA combine-and for whom we have measurements of player athleticism-produce some evidence of racial discrimination. Through such models we estimate that Black players are picked roughly three picks later in the draft. We consider the implications of these findings for contemporary theorizing about racial discrimination in the NBA and more mainstream labor markets.

Bien qu'elle excelle dans le recrutement de joueurs noirs, des études ont démontré à plusieurs reprises l'existence d'une discrimination raciale au sein de la National Basketball Association (NBA). Dans le cadre de cette étude, nous réexaminons le sujet de la discrimination raciale au sein de la NBA en analysant la sélection annuelle (draft) de l'association. À l'aide d'un nouvel ensemble de données, nous modélisons statistiquement la relation entre la race du joueur et le numéro de sélection à la draft en utilisant des données regroupées de 1980 à 2021. Dans l'ensemble, nous ne trouvons que des preuves limitées de discrimination raciale. Ces résultats sont généralement robustes aux analyses de sous­échantillons, aux spécifications alternatives de notre variable raciale et aux autres techniques de modélisation statistique. Toutefois, les analyses effectuées sur des sous­échantillons de sélectionnés ayant participé au NBA combine­et pour lesquels nous disposons de mesures de l'athlétisme des joueurs­produisent certains éléments de preuve de la discrimination raciale. Grâce à ces modèles, nous estimons que les joueurs noirs sont sélectionnés environ 3 fois plus tard dans la draft. Nous théorisons les implications de ces résultats pour les théories contemporaines sur la discrimination raciale dans la NBA et les marchés du travail ordinaires.

Individual and Contextual Correlates of Latent Bystander Profiles toward Racist Hate Speech: A Multilevel Person-centered Approach.

Prior research into bystander responses to hate speech has utilized variable-centered analyses - such approaches risk simplifying the complex nature of bystander behaviors. Hence, the present study used a person-centered analysis to investigate latent hate speech bystander profiles. In addition, individual and classroom-level correlates associated with the various profiles were studied. The sample included 3225 students in grades 7-9 (51.7% self-identified as female; 37.2% with immigrant background) from 215 classrooms in Germany and Switzerland. The latent profile analysis revealed that four distinct profiles could be distinguished: Passive Bystanders (34.2%), Defenders (47.3%), Revengers (9.8%), and Contributors (8.6%). Multilevel logistic regression models showed common and distinct correlates. For example, students who believed that certain social groups are superior were more likely to be Revengers and Contributors than Passive Bystanders, students who felt more connected with teachers were more likely to be Defenders, and students who were more open to diversity were less likely to be Contributors than Passive Bystanders. Students were less likely Defenders and more likely Revengers and Contributors than Passive Bystanders in classrooms with high rates of hate speech perpetration. Further, in classrooms with high hate speech intervention, students were more likely to be Defenders and less likely to be Contributors than Passive Bystanders. In classrooms with stronger cohesion, students were more likely to be Defenders and less likely to be Contributors than Passive Bystanders. In conclusion, the findings add to our understanding of bystander profiles concerning racist hate speech and the relevance of individual and classroom-level factors in explaining various profiles of bystander behavior.

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.

Historic Redlining and Impact of Structural Racism on Diabetes Prevalence in a Nationally Representative Sample of U.S. Adults.

OBJECTIVE: We investigated direct and indirect relationships between historic redlining and prevalence of diabetes in a U.S. national sample. RESEARCH DESIGN AND METHODS: Using a previously validated conceptual model, we hypothesized pathways between structural racism and prevalence of diabetes via discrimination, incarceration, poverty, substance use, housing, education, unemployment, and food access. We combined census tract-level data, including diabetes prevalence from the Centers for Disease Control and Prevention PLACES 2019 database, redlining using historic Home Owners' Loan Corporation (HOLC) maps from the Mapping Inequality project, and census data from the Opportunity Insights database. HOLC grade (a score between 1 [best] and 4 [redlined]) for each census tract was based on overlap with historically HOLC-graded areas. The final analytic sample consisted of 11,375 U.S. census tracts. Structural equation modeling was used to investigate direct and indirect relationships adjusting for the 2010 population. RESULTS: Redlining was directly associated with higher crude prevalence of diabetes within a census tract (r = 0.01; P = 0.008) after adjusting for the 2010 population (χ2(54) = 69,900.95; P < 0.001; root mean square error of approximation = 0; comparative fit index = 1). Redlining was indirectly associated with diabetes prevalence via incarceration (r = 0.06; P < 0.001), poverty (r = -0.10; P < 0.001), discrimination (r = 0.14; P < 0.001); substance use (measured by binge drinking: r = -0.65, P < 0.001; and smoking: r = 0.35, P < 0.001), housing (r = 0.06; P < 0.001), education (r = -0.17; P < 0.001), unemployment (r = -0.17; P < 0.001), and food access (r = 0.14; P < 0.001) after adjusting for the 2010 population. CONCLUSIONS: Redlining has significant direct and indirect relationships with diabetes prevalence. Incarceration, poverty, discrimination, substance use, housing, education, unemployment, and food access may be possible targets for interventions aiming to mitigate the impact of structural racism on diabetes.

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.

Everyday Discrimination and HIV Testing Among Partnered Latino/x Sexual Minority Men in the United States: A Stratified Analysis by Birth Location.

We examined the association between everyday discrimination and HIV testing patterns-current (≤ 6 months), recent (7-12 months), and delayed (> 12 months or never tested)-among partnered Latino/x sexual minority men (SMM). Multinomial regression analyses revealed that in the full sample (N = 484) experiencing discrimination based on sexual orientation and race/ethnicity attributions concurrently (vs. no discrimination) was associated with higher odds of delayed (vs. current) HIV testing (AOR = 2.6, 95% CI [1.0, 6.7]). Similarly, in the subset of Latino/x SMM born outside the mainland U.S. (n = 209), experiencing concurrent sexual orientation- and race/ethnicity-based discrimination (vs. no discrimination) was associated with higher odds of recent (AOR = 12.4, 95% CI [1.3, 115.7]) and delayed HIV testing (AOR = 7.3, 95% CI [1.6, 33.0]), compared with current testing. Findings suggest that addressing discrimination may improve HIV testing uptake among partnered Latino/x SMM, particularly those born outside the U.S.

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.

Racial Inequities in Drug Tests Ordered by Clinicians for Pregnant People Who Disclose Prenatal Substance Use.

OBJECTIVE: To measure racial inequities in drug testing among pregnant people during the first prenatal visit based on their drug use disclosure pattern. METHODS: We used data from a cohort study of patient-clinician communication patterns regarding substance use in first prenatal visits from February 2011 to August 2014. We assessed racial differences (Black-White) in the receipt of urine toxicology testing, stratifying on patients' drug use disclosure to the clinician. RESULTS: Among 341 study participants (205 Black [60.1%] and 136 White [39.9%] participants), 70 participants (33 Black [47.1%] and 37 White [52.9%] participants) disclosed drug use, and 271 participants (172 Black [63.5%] and 99 White [36.5%] participants) did not disclose drug use during their first obstetric visit. Of 70 participants who disclosed drug use, 50 (28 Black [56.0%] and 22 White [44.0%] White) had urine drug testing conducted. Black pregnant patients who disclosed drug use were more likely to be tested for drugs than their White counterparts in the adjusted regression analysis (adjusted odds ratio [aOR] 8.9, 95% CI 1.3-58.6). Among the 271 participants who did not disclose drug use, 38 (18 Black [47.4%] and 20 White [52.6%] participants) had urine drug testing conducted. For those who did not disclose drug use, the adjusted model showed no statistically significant differences in urine drug testing by patients' race (aOR 0.7, 95% CI 0.3-1.6). CONCLUSION: When pregnant people disclosed drug use, clinicians were more likely to order urine drug testing for Black pregnant people compared with their White counterparts, suggesting clinician racial bias. Current practice patterns and protocols such as urine drug testing in pregnancy care deserve review to identify and mitigate areas of potential clinician discrimination.

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.

Experiences with Racism Among Asian American Medical Students.

Importance: Asian American physicians have experienced a dual pandemic of racism and COVID-19 since 2020; understanding how racism has affected the learning environment of Asian American medical students is necessary to inform strategies to promoting a more inclusive medical school environment and a diverse and inclusive workforce. While prior research has explored the influence of anti-Asian racism on the experiences of Asian American health care workers, to our knowledge there are no studies investigating how racism has impacted the training experiences of Asian American medical students. Objective: To characterize how Asian American medical students have experienced anti-Asian racism in a medical school learning environment. Design, Setting, and Participants: This qualitative study included online video interviews of Asian American medical students performed between July 29, 2021, and August 22, 2022. Eligible participants were recruited through the Asian Pacific American Medical Students Association and snowball sampling, and the sample represented a disaggregated population of Asian Americans and all 4 medical school years. Main Outcomes and Measures: The medical school experiences of Asian American medical students. Results: Among 25 participants, Asian ethnicities included 8 Chinese American (32%), 5 Korean American (20%), 5 Indian American (20%), 3 Vietnamese American (12%), 2 Filipino American (8%), and 1 (4%) each Nepalese, Pakistani, and Desi American; 16 (64%) were female. Participants described 5 major themes concerning their experience with discrimination: (1) invisibility as racial aggression (eg, "It took them the whole first year to be able to tell me apart from the other Asian guy"); (2) visibility and racial aggression ("It transitioned from these series of microaggressions that every Asian person felt to actual aggression"); (3) absence of the Asian American experience in medical school ("They're not going to mention Asian Americans at all"); (4) ignored while seeking support ("I don't know what it means to have this part of my identity supported"); and (5) envisioning the future. Conclusions and Relevance: In this qualitative study, Asian American medical students reported feeling invisible within medical school while a target of anti-Asian racism. Addressing these unique challenges related to anti-Asian racism is necessary to promote a more inclusive medical school learning environment.

Operationalizing racialized exposures in historical research on anti-Asian racism and health: a comparison of two methods.

Background: Addressing contemporary anti-Asian racism and its impacts on health requires understanding its historical roots, including discriminatory restrictions on immigration, citizenship, and land ownership. Archival secondary data such as historical census records provide opportunities to quantitatively analyze structural dynamics that affect the health of Asian immigrants and Asian Americans. Census data overcome weaknesses of other data sources, such as small sample size and aggregation of Asian subgroups. This article explores the strengths and limitations of early twentieth-century census data for understanding Asian Americans and structural racism. Methods: We used California census data from three decennial census spanning 1920-1940 to compare two criteria for identifying Asian Americans: census racial categories and Asian surname lists (Chinese, Indian, Japanese, Korean, and Filipino) that have been validated in contemporary population data. This paper examines the sensitivity and specificity of surname classification compared to census-designated "color or race" at the population level. Results: Surname criteria were found to be highly specific, with each of the five surname lists having a specificity of over 99% for all three census years. The Chinese surname list had the highest sensitivity (ranging from 0.60-0.67 across census years), followed by the Indian (0.54-0.61) and Japanese (0.51-0.62) surname lists. Sensitivity was much lower for Korean (0.40-0.45) and Filipino (0.10-0.21) surnames. With the exception of Indian surnames, the sensitivity values of surname criteria were lower for the 1920-1940 census data than those reported for the 1990 census. The extent of the difference in sensitivity and trends across census years vary by subgroup. Discussion: Surname criteria may have lower sensitivity in detecting Asian subgroups in historical data as opposed to contemporary data as enumeration procedures for Asians have changed across time. We examine how the conflation of race, ethnicity, and nationality in the census could contribute to low sensitivity of surname classification compared to census-designated "color or race." These results can guide decisions when operationalizing race in the context of specific research questions, thus promoting historical quantitative study of Asian American experiences. Furthermore, these results stress the need to situate measures of race and racism in their specific historical context.

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.

Perceived racial discrimination and polysubstance use among racial/ethnic minority adolescents in the United States.

OBJECTIVE: Polysubstance use among adolescents is a significant public health concern, yet most studies on adolescent substance use focus on a singular substance. This study is one of the first to investigate the association between perceived racial discrimination (PRD) in school and polysubstance use among racial/ethnic minority adolescents using a nationally representative sample. METHODS: Data was from the 2021 Adolescent Behaviors and Experiences Survey. The sample included 4145 racial/ethnic minority adolescents (52.8% female). Hierarchical binary logistic regression was used to examine the association between PRD in school and polysubstance use among racial/ethnic minority adolescents. RESULTS: About 12% of racial/ethnic minority adolescents engaged in polysubstance use and 23.4% reported experiencing PRD in school sometimes/most of the time/always. Controlling for other factors, experiencing PRD in school sometimes/most of the time/always was associated with 1.52 times higher odds of polysubstance use when compared to adolescents who never experienced PRD in school (OR=1.52, p=.044, 95% CI=1.01-2.30). Cyberbullying victimization, symptoms of depression, and being emotionally abused by a parent during COVID-19 were also associated with polysubstance use. CONCLUSION: Controlling for demographic characteristics and psychosocial stressors, PRD in school was significantly associated with higher odds of polysubstance use among racial/ethnic minority adolescents. The findings of this study could inform clinicians and policymakers of the association between PRD in school and polysubstance use, which could contribute to early identification of polysubstance use among racial/ethnic minority adolescents.