Asian Americans in STEM are not a monolith.

Despite tremendous diversity, Asian Americans in STEM are grouped and viewed as a homogeneous monolith, facing stereotypes and disparities. We propose solutions that include disaggregating the Asian American grouping and recognizing the diverse individual ethnic subgroups that comprise Americans of Asian ancestry to implement change within the STEM field.

The selection landscape and genetic legacy of ancient Eurasians.

The Holocene (beginning around 12,000 years ago) encompassed some of the most significant changes in human evolution, with far-reaching consequences for the dietary, physical and mental health of present-day populations. Using a dataset of more than 1,600 imputed ancient genomes1, we modelled the selection landscape during the transition from hunting and gathering, to farming and pastoralism across West Eurasia. We identify key selection signals related to metabolism, including that selection at the FADS cluster began earlier than previously reported and that selection near the LCT locus predates the emergence of the lactase persistence allele by thousands of years. We also find strong selection in the HLA region, possibly due to increased exposure to pathogens during the Bronze Age. Using ancient individuals to infer local ancestry tracts in over 400,000 samples from the UK Biobank, we identify widespread differences in the distribution of Mesolithic, Neolithic and Bronze Age ancestries across Eurasia. By calculating ancestry-specific polygenic risk scores, we show that height differences between Northern and Southern Europe are associated with differential Steppe ancestry, rather than selection, and that risk alleles for mood-related phenotypes are enriched for Neolithic farmer ancestry, whereas risk alleles for diabetes and Alzheimer's disease are enriched for Western hunter-gatherer ancestry. Our results indicate that ancient selection and migration were large contributors to the distribution of phenotypic diversity in present-day Europeans.

Entwined African and Asian genetic roots of medieval peoples of the Swahili coast.

The urban peoples of the Swahili coast traded across eastern Africa and the Indian Ocean and were among the first practitioners of Islam among sub-Saharan people1,2. The extent to which these early interactions between Africans and non-Africans were accompanied by genetic exchange remains unknown. Here we report ancient DNA data for 80 individuals from 6 medieval and early modern (AD 1250-1800) coastal towns and an inland town after AD 1650. More than half of the DNA of many of the individuals from coastal towns originates from primarily female ancestors from Africa, with a large proportion-and occasionally more than half-of the DNA coming from Asian ancestors. The Asian ancestry includes components associated with Persia and India, with 80-90% of the Asian DNA originating from Persian men. Peoples of African and Asian origins began to mix by about AD 1000, coinciding with the large-scale adoption of Islam. Before about AD 1500, the Southwest Asian ancestry was mainly Persian-related, consistent with the narrative of the Kilwa Chronicle, the oldest history told by people of the Swahili coast3. After this time, the sources of DNA became increasingly Arabian, consistent with evidence of growing interactions with southern Arabia4. Subsequent interactions with Asian and African people further changed the ancestry of present-day people of the Swahili coast in relation to the medieval individuals whose DNA we sequenced.

An atlas of genetic scores to predict multi-omic traits.

The use of omic modalities to dissect the molecular underpinnings of common diseases and traits is becoming increasingly common. But multi-omic traits can be genetically predicted, which enables highly cost-effective and powerful analyses for studies that do not have multi-omics1. Here we examine a large cohort (the INTERVAL study2; n = 50,000 participants) with extensive multi-omic data for plasma proteomics (SomaScan, n = 3,175; Olink, n = 4,822), plasma metabolomics (Metabolon HD4, n = 8,153), serum metabolomics (Nightingale, n = 37,359) and whole-blood Illumina RNA sequencing (n = 4,136), and use machine learning to train genetic scores for 17,227 molecular traits, including 10,521 that reach Bonferroni-adjusted significance. We evaluate the performance of genetic scores through external validation across cohorts of individuals of European, Asian and African American ancestries. In addition, we show the utility of these multi-omic genetic scores by quantifying the genetic control of biological pathways and by generating a synthetic multi-omic dataset of the UK Biobank3 to identify disease associations using a phenome-wide scan. We highlight a series of biological insights with regard to genetic mechanisms in metabolism and canonical pathway associations with disease; for example, JAK-STAT signalling and coronary atherosclerosis. Finally, we develop a portal ( https://www.omicspred.org/ ) to facilitate public access to all genetic scores and validation results, as well as to serve as a platform for future extensions and enhancements of multi-omic genetic scores.

Real-world and clinical trial outcomes in large B-cell lymphoma with axicabtagene ciloleucel across race and ethnicity.

ABSTRACT: Axicabtagene ciloleucel (axi-cel) is an autologous anti-CD19 chimeric antigen receptor (CAR) T-cell therapy approved for relapsed/refractory (R/R) large B-cell lymphoma (LBCL). Despite extensive data supporting its use, outcomes stratified by race and ethnicity groups are limited. Here, we report clinical outcomes with axi-cel in patients with R/R LBCL by race and ethnicity in both real-world and clinical trial settings. In the real-world setting, 1290 patients who received axi-cel between 2017 and 2020 were identified from the Center for International Blood and Marrow Transplant Research database; 106 and 169 patients were included from the ZUMA-1 and ZUMA-7 trials, respectively. Overall survival was consistent across race/ethnicity groups. However, non-Hispanic (NH) Black patients had lower overall response rate (OR, 0.37; 95% CI, 0.22-0.63) and lower complete response rate (OR, 0.57; 95% CI, 0.33-0.97) than NH White patients. NH Black patients also had a shorter progression-free survival vs NH White (HR, 1.41; 95% CI, 1.04-1.90) and NH Asian patients (HR, 1.67; 95% CI, 1.08-2.59). NH Asian patients had a longer duration of response than NH White (HR, 0.56; 95% CI, 0.33-0.94) and Hispanic patients (HR, 0.54; 95% CI, 0.30-0.97). There was no difference in cytokine release syndrome by race/ethnicity; however, higher rates of any-grade immune effector cell-associated neurotoxicity syndrome were observed in NH White patients than in other patients. These results provide important context when treating patients with R/R LBCL with CAR T-cell therapy across different racial and ethnic groups. ZUMA-1 and ZUMA-7 (ClinicalTrials.gov identifiers: #NCT02348216 and #NCT03391466, respectively) are registered on ClinicalTrials.gov.

Allostatic load in children: The cost of empathic concern.

Early-life adversity affects long-term health outcomes but there is considerable interindividual variability in susceptibility to environmental influences. We proposed that positive psychological characteristics that reflect engagement with context, such as being concerned about people or performance on tasks (i.e., empathic concern), could moderate the interindividual variation in sensitivity to the quality of the early environment. We studied 526 children of various Asian nationalities in Singapore (46.6% female, 13.4% below the poverty line) with longitudinal data on perinatal and childhood experiences, maternal report on empathic concern of the child, and a comprehensive set of physiological measures reflecting pediatric allostatic load assessed at 6 y of age. The perinatal and childhood experiences included adversities and positive experiences. We found that cumulative adverse childhood experience was positively associated with allostatic load of children at 6 y of age at higher levels of empathic concern but not significantly associated at lower levels of empathic concern. This finding reveals evidence for the importance of empathic concern as a psychological characteristic that moderates the developmental impact of environmental influences, serving as a source for vulnerability to adversities in children.

All human social groups are human, but some are more human than others: A comprehensive investigation of the implicit association of "Human" to US racial/ethnic groups.

All human groups are equally human, but are they automatically represented as such? Harnessing data from 61,377 participants across 13 experiments (six primary and seven supplemental), a sharp dissociation between implicit and explicit measures emerged. Despite explicitly affirming the equal humanity of all racial/ethnic groups, White participants consistently associated Human (relative to Animal) more with White than Black, Hispanic, and Asian groups on Implicit Association Tests (IATs; experiments 1-4). This effect emerged across diverse representations of Animal that varied in valence (pets, farm animals, wild animals, and vermin; experiments 1-2). Non-White participants showed no such Human=Own Group bias (e.g., Black participants on a White-Black/Human-Animal IAT). However, when the test included two outgroups (e.g., Asian participants on a White-Black/Human-Animal IAT), non-White participants displayed Human=White associations. The overall effect was largely invariant across demographic variations in age, religion, and education but did vary by political ideology and gender, with self-identified conservatives and men displaying stronger Human=White associations (experiment 3). Using a variance decomposition method, experiment 4 showed that the Human=White effect cannot be attributed to valence alone; the semantic meaning of Human and Animal accounted for a unique proportion of variance. Similarly, the effect persisted even when Human was contrasted with positive attributes (e.g., God, Gods, and Dessert; experiment 5a). Experiments 5a-b clarified the primacy of Human=White rather than Animal=Black associations. Together, these experiments document a factually erroneous but robust Human=Own Group implicit stereotype among US White participants (and globally), with suggestive evidence of its presence in other socially dominant groups.

Social Determinants of Cardiovascular Health in Asian Americans: A Scientific Statement From the American Heart Association.

To achieve cardiovascular health (CVH) equity in the United States, an understanding of the social and structural factors that contribute to differences and disparities in health is necessary. The Asian American population is the fastest-growing racial group in the United States but remains persistently underrepresented in health research. There is heterogeneity in how individual Asian American ethnic groups experience CVH and cardiovascular disease outcomes, with certain ethnic groups experiencing a higher burden of adverse social conditions, disproportionately high burden of suboptimal CVH, or excess adverse cardiovascular disease outcomes. In this scientific statement, upstream structural and social determinants that influence CVH in the Asian American population are highlighted, with particular emphasis on the role of social determinants of health across disaggregated Asian American ethnic groups. Key social determinants that operate in Asian American communities include socioeconomic position, immigration and nativity, social and physical environments, food and nutrition access, and health system-level factors. The role of underlying structural factors such as health, social, and economic policies and structural racism is also discussed in the context of CVH in Asian Americans. To improve individual-, community-, and population-level CVH and to reduce CVH disparities in Asian American ethnic subgroups, multilevel interventions that address adverse structural and social determinants are critical to achieve CVH equity for the Asian American population. Critical research gaps for the Asian American population are given, along with recommendations for strategic approaches to investigate social determinants of health and intervene to reduce health disparities in these communities.

Fetal Mortality: United States, 2021.

Objectives-This report presents 2021 fetal mortality data by maternal race and Hispanic origin, age, tobacco use during pregnancy, and state of residence, as well as by plurality, sex, gestational age, birthweight, and selected causes of death. Trends in fetal mortality are also examined. Methods-Descriptive tabulations of data are presented and interpreted for all fetal deaths reported for the United States for 2021 with a stated or presumed period of gestation of 20 weeks or more. Cause-of-fetal-death data are restricted to residents of the 41 states and the District of Columbia, where cause of death was based on the 2003 fetal death report revision and less than 50% of deaths were attributed to Fetal death of unspecified cause (P95). Results-A total of 21,105 fetal deaths at 20 weeks of gestation or more were reported in the United States in 2021. The 2021 U.S. fetal mortality rate was 5.73 fetal deaths at 20 weeks of gestation or more per 1,000 live births and fetal deaths, which was essentially unchanged from the rate of 5.74 in 2020. The fetal mortality rate in 2021 for deaths occurring at 20-27 weeks of gestation was 2.95, essentially unchanged from 2020 (2.97). For deaths occurring at 28 weeks of gestation or more, the rate in 2021 (2.80) was not significantly different from 2020 (2.78). In 2021, the fetal mortality rate ranged from 3.94 for non-Hispanic, single-race Asian women to 9.89 for non-Hispanic, single-race Black women. Fetal mortality rates were highest for females under age 15 and aged 40 and over, for women who smoked during pregnancy, and for women with multiple gestation pregnancies. Five selected causes accounted for 89.9% of fetal deaths in the 41-state and District of Columbia reporting area.

Adoption of Internal Medicine Milestone Ratings and Changes in Bias Against Black, Latino, and Asian Internal Medicine Residents.

BACKGROUND: The 2014 adoption of the Milestone ratings system may have affected evaluation bias against minoritized groups. OBJECTIVE: To assess bias in internal medicine (IM) residency knowledge ratings against Black or Latino residents-who are underrepresented in medicine (URiM)-and Asian residents before versus after Milestone adoption in 2014. DESIGN: Cross-sectional and interrupted time-series comparisons. SETTING: U.S. IM residencies. PARTICIPANTS: 59 835 IM residents completing residencies during 2008 to 2013 and 2015 to 2020. INTERVENTION: Adoption of the Milestone ratings system. MEASUREMENTS: Pre-Milestone (2008 to 2013) and post-Milestone (2015 to 2020) bias was estimated as differences in standardized knowledge ratings between U.S.-born and non-U.S.-born minoritized groups versus non-Latino U.S.-born White (NLW) residents, with adjustment for performance on the American Board of Internal Medicine IM certification examination and other physician characteristics. Interrupted time-series analysis measured deviations from pre-Milestone linear bias trends. RESULTS: During the pre-Milestone period, ratings biases against minoritized groups were large (-0.40 SDs [95% CI, -0.48 to -0.31 SDs; P < 0.001] for URiM residents, -0.24 SDs [CI, -0.30 to -0.18 SDs; P < 0.001] for U.S.-born Asian residents, and -0.36 SDs [CI, -0.45 to -0.27 SDs; P < 0.001] for non-U.S.-born Asian residents). These estimates decreased to less than -0.15 SDs after adoption of Milestone ratings for all groups except U.S.-born Black residents, among whom substantial (though lower) bias persisted (-0.26 SDs [CI, -0.36 to -0.17 SDs; P < 0.001]). Substantial deviations from pre-Milestone linear bias trends coincident with adoption of Milestone ratings were also observed. LIMITATIONS: Unobserved variables correlated with ratings bias and Milestone ratings adoption, changes in identification of race/ethnicity, and generalizability to Milestones 2.0. CONCLUSION: Knowledge ratings bias against URiM and Asian residents was ameliorated with the adoption of the Milestone ratings system. However, substantial ratings bias against U.S.-born Black residents persisted. PRIMARY FUNDING SOURCE: None.

The moral filter of patriotic prejudice: How Americans view Chinese in the COVID-19 era.

About one in six Asian Americans have fallen victim to anti-Asian racism during the COVID-19 pandemic [J. Lee, K. Ramakrishnan, aapidata.com/blog/discrimination-survey-2022/]. By examining anti-Asian racism in the United States primarily as a domestic issue, most prior studies have overlooked the connections between shifting US-China relations and Americans' prejudices against the Chinese in China and, by extension, East Asian Americans. This study investigates the patterns and perceptual bases of nationality-based prejudices against Chinese amid the COVID-19 pandemic in the United States. Our nationally representative online survey experiment reveals that Americans assess a hypothetical Chinese person in China as inferior in multiple social and psychological characteristics to an otherwise identical Japanese person in Japan or East Asian American. Furthermore, subjects who perceive China as more threatening to America's national interests assess Chinese more negatively, especially in terms of trustworthiness and morality, suggesting that perceived China threats propel Americans' negative stereotypes about Chinese. A contextual analysis further indicates that counties with a higher share of Trump voters in 2016 tend to perceive all East Asian-origin groups similarly as a racial outgroup. By contrast, residents in predominantly Democrat-voting counties tend to perceive Chinese in China more negatively relative to Asian Americans, despite broadly viewing East Asians more favorably. Overall, this study underscores the often-overlooked relationships between the prevailing anti-Asian sentiments in the United States and the US-China geopolitical tensions and America's domestic political polarization.

The VLPFC-Engaged Voluntary Emotion Regulation: Combined TMS-fMRI Evidence for the Neural Circuit of Cognitive Reappraisal.

A clear understanding of the neural circuit underlying emotion regulation (ER) is important for both basic and translational research. However, a lack of evidence based on combined neuroimaging and neuromodulation techniques calls into question (1) whether the change of prefrontal-subcortical activity intrinsically and causally contributes to the ER effect; and (2) whether the prefrontal control system directly modulates the subcortical affective system. Accordingly, we combined fMRI recordings with transcranial magnetic stimulation (TMS) to map the causal connections between the PFC and subcortical affective structures (amygdala and insula). A total of 117 human adult participants (57 males and 60 females) were included in the study. The results revealed that TMS-induced ventrolateral PFC (VLPFC) facilitation led to enhanced activity in the VLPFC and ventromedial PFC (VMPFC) as well as attenuated activity in the amygdala and insula during reappraisal but not during nonreappraisal (i.e., baseline). Moreover, the activated VLPFC intensified the prefrontal-subcortical couplings via the VMPFC during reappraisal only. This study provides combined TMS-fMRI evidence that downregulating negative emotion involves the prefrontal control system suppressing the subcortical affective system, with the VMPFC serving as a crucial hub within the VLPFC-subcortical network, suggesting an indirect pathway model of the ER circuit. Our findings outline potential protocols for improving ER ability by intensifying the VLPFC-VMPFC coupling in patients with mood and anxiety disorders.SIGNIFICANCE STATEMENT Using fMRI to examine the TMS effect, we uncovered that the opposite neural changes in prefrontal (enhanced) and subcortical (attenuated) regions are not a byproduct of emotion regulation (ER); instead, this prefrontal-subcortical activity per se causally contributes to the ER effect. Furthermore, using TMS to amplify the neural changes within the ER circuit, the "bridge" role of the VMPFC is highlighted under the reappraisal versus nonreappraisal contrast. This "perturb-and-measure" approach overcomes the correlational nature of fMRI data, helping us to identify brain regions that causally support reappraisal (the VLPFC and VMPFC) and those that are modulated by reappraisal (the amygdala and insula). The uncovered ER circuit is important for understanding the neural systems underlying reappraisal and valuable for translational research.

Epidemiology of Diabetes and Atherosclerotic Cardiovascular Disease Among Asian American Adults: Implications, Management, and Future Directions: A Scientific Statement From the American Heart Association.

Asian American individuals make up the fastest growing racial and ethnic group in the United States. Despite the substantial variability that exists in type 2 diabetes and atherosclerotic cardiovascular disease risk among the different subgroups of Asian Americans, the current literature, when available, often fails to examine these subgroups individually. The purpose of this scientific statement is to summarize the latest disaggregated data, when possible, on Asian American demographics, prevalence, biological mechanisms, genetics, health behaviors, acculturation and lifestyle interventions, pharmacological therapy, complementary alternative interventions, and their impact on type 2 diabetes and atherosclerotic cardiovascular disease. On the basis of available evidence to date, we noted that the prevalences of type 2 diabetes and stroke mortality are higher in all Asian American subgroups compared with non-Hispanic White adults. Data also showed that atherosclerotic cardiovascular disease risk is highest among South Asian and Filipino adults but lowest among Chinese, Japanese, and Korean adults. This scientific statement discusses the biological pathway of type 2 diabetes and the possible role of genetics in type 2 diabetes and atherosclerotic cardiovascular disease among Asian American adults. Challenges to provide evidence-based recommendations included the limited data on Asian American adults in risk prediction models, national surveillance surveys, and clinical trials, leading to significant research disparities in this population. The large disparity within this population is a call for action to the public health and clinical health care community, for whom opportunities for the inclusion of the Asian American subgroups should be a priority. Future studies of atherosclerotic cardiovascular disease risk in Asian American adults need to be adequately powered, to incorporate multiple Asian ancestries, and to include multigenerational cohorts. With advances in epidemiology and data analysis and the availability of larger, representative cohorts, furthering refining the Pooled Cohort Equations, in addition to enhancers, would allow better risk estimation in segments of the population. Last, this scientific statement provides individual- and community-level intervention suggestions for health care professionals who interact with the Asian American population.

Racial and Ethnic Differences in Mortality and Functional Outcomes Following Aneurysmal Subarachnoid Hemorrhage.

BACKGROUND: Ischemic and hemorrhagic stroke incidence tends to be higher among minority racial and ethnic groups. The effect of race and ethnicity following an aneurysmal subarachnoid hemorrhage (aSAH) remains poorly understood. Thus, we aimed to explore the association between race and ethnicity and aSAH outcomes. METHODS: Single-center retrospective review of patients with aSAH from January 2009 to March 2023. Primary outcome was in-hospital mortality. Secondary outcomes included delayed cerebral ischemia, cerebral infarction, radiographic and symptomatic vasospasm, pulmonary complications, epileptic seizures, external ventricular drain placement, and modified Rankin Scale score at discharge and 3-month follow-up. Associations between race and ethnicity and outcomes were assessed using binary and ordinal regression models, with multivariable models adjusted for significant covariates. RESULTS: A total of 1325 patients with subarachnoid hemorrhage presented to our center. Among them, 443 cases were excluded, and data from 882 patients with radiographically confirmed aSAH were analyzed. Distribution by race and ethnicity was 40.8% (n=360) White, 31.4% (n=277) Hispanic, 22.1% (n=195) Black, and 5.7% (n=50) Asian. Based on Hunt-Hess and modified Fisher grade, aSAH severity was similar among groups (P=0.269 and P=0.469, respectively). In-hospital mortality rates were highest for Asian (14.0%) and Hispanic (11.2%) patients; however, after adjusting for patient sex, age, health insurance, smoking history, alcohol and substance abuse, and aneurysm treatment, the overall likelihood was comparable to White patients. Hispanic patients had higher risks of developing cerebral infarction (adjusted odds ratio, 2.17 [1.20-3.91]) and symptomatic vasospasm (adjusted odds ratio, 1.64 [1.05-2.56]) than White patients and significantly worse discharge modified Rankin Scale scores (adjusted odds ratio, 1.44 [1.05-1.99]). Non-White patients also demonstrated a lower likelihood of 0 to 2 discharge modified Rankin Scale scores (adjusted odds ratio, 0.71 [0.50-0.98]). No significant interactions between race and ethnicity and age or sex were found for in-hospital mortality and functional outcomes. CONCLUSIONS: Our study identified significant differences in cerebral infarction and symptomatic vasospasm risk between Hispanic and White patients following aSAH. A higher likelihood of worse functional outcomes at discharge was found among non-White patients. These findings emphasize the need to better understand predisposing risk factors that may influence aSAH outcomes. Efforts toward risk stratification and patient-centered management should be pursued.

Diversity, Equity, and Inclusion Lessons From Developing Stroke Education Programs for West Michigan Asian Communities.

BACKGROUND: Asians in the United States, facing health care disparities, have increased stroke risk. Multiple subgroups, with distinct cultures and languages, add complexity to caring for Asian American (AsA) communities. We developed a tailored stroke education program for underserved West Michigan AsA communities. Methodology, lessons learned, and diversity, equity, and inclusion insights are described. METHODS: Neurology residents and faculty, in collaboration with trained community-specific navigators, developed culturally resonant stroke education that was tailored to meet the needs of specific self-identified West Michigan AsA communities. Educational and debriefing sessions were delivered over 6 months, following the Plan-Do-Study-Act model, to elucidate diversity, equity, and inclusion insights and improve materials and delivery methods. RESULTS: Eighty-six non-English-speaking participants from 5 self-identified AsA communities (Burmese, Buddhist Vietnamese, Catholic Vietnamese, Chinese, and Nepali) attended educational stroke sessions. The average age of attendees was 57.6±13.2 years; most were females (70%). Diversity, equity, and inclusion insights included identification of Asian cultural beliefs about acute stroke treatment (eg, bloodletting), investigator insights (eg, need for kitchen-table programs), systemic barriers (eg, language), and mitigation strategies. CONCLUSIONS: Institutions should consider the integration of equity-focused, trainee-influenced quality improvement projects, such as this culturally resonant stroke educational program for AsA, to enhance stroke care in these vulnerable communities.

Reproductive characteristics, menopausal status, race and ethnicity, and risk of breast cancer subtypes defined by ER, PR and HER2 status: the Breast Cancer Etiology in Minorities study.

BACKGROUND: Associations between reproductive factors and risk of breast cancer differ by subtype defined by joint estrogen receptor (ER), progesterone receptor (PR), and HER2 expression status. Racial and ethnic differences in the incidence of breast cancer subtypes suggest etiologic heterogeneity, yet data are limited because most studies have included non-Hispanic White women only. METHODS: We analyzed harmonized data for 2,794 breast cancer cases and 4,579 controls, of whom 90% self-identified as African American, Asian American or Hispanic. Questionnaire data were pooled from three population-based studies conducted in California and data on tumor characteristics were obtained from the California Cancer Registry. The study sample included 1,530 luminal A (ER-positive and/or PR-positive, HER2-negative), 442 luminal B (ER-positive and/or PR-positive, HER2-positive), 578 triple-negative (TN; ER-negative, PR-negative, HER2-negative), and 244 HER2-enriched (ER-negative, PR-negative, HER2-positive) cases. We used multivariable unconditional logistic regression models to estimate subtype-specific ORs and 95% confidence intervals associated with parity, breast-feeding, and other reproductive characteristics by menopausal status and race and ethnicity. RESULTS: Subtype-specific associations with reproductive factors revealed some notable differences by menopausal status and race and ethnicity. Specifically, higher parity without breast-feeding was associated with higher risk of luminal A and TN subtypes among premenopausal African American women. In contrast, among Asian American and Hispanic women, regardless of menopausal status, higher parity with a breast-feeding history was associated with lower risk of luminal A subtype. Among premenopausal women only, luminal A subtype was associated with older age at first full-term pregnancy (FTP), longer interval between menarche and first FTP, and shorter interval since last FTP, with similar OR estimates across the three racial and ethnic groups. CONCLUSIONS: Subtype-specific associations with reproductive factors overall and by menopausal status, and race and ethnicity, showed some differences, underscoring that understanding etiologic heterogeneity in racially and ethnically diverse study samples is essential. Breast-feeding is likely the only reproductive factor that is potentially modifiable. Targeted efforts to promote and facilitate breast-feeding could help mitigate the adverse effects of higher parity among premenopausal African American women.

Heterogeneity in the effect of type 2 diabetes on dementia incidence in a diverse cohort of Asian American and non-Latino White older adults.

Dementia incidence is lower among Asian Americans than among Whites, despite higher prevalence of type 2 diabetes, a well-known dementia risk factor. Determinants of dementia, including type 2 diabetes, have rarely been studied in Asian Americans. We followed 4846 Chinese, 4129 Filipino, 2784 Japanese, 820 South Asian, and 123 360 non-Latino White members of a California-based integrated health-care delivery system from 2002 to 2020. We estimated dementia incidence rates by race/ethnicity and type 2 diabetes status, and we fitted Cox proportional hazards and Aalen additive hazards models for the effect of type 2 diabetes (assessed 5 years before baseline) on age of dementia diagnosis, controlling for sex/gender, educational attainment, nativity, height, race/ethnicity, and a race/ethnicity × diabetes interaction. Type 2 diabetes was associated with higher dementia incidence in Whites (hazard ratio [HR] = 1.46; 95% CI, 1.40-1.52). Compared with Whites, the estimated effect of diabetes was larger in South Asians (HR = 2.26; 95% CI, 1.48-3.44), slightly smaller in Chinese (HR = 1.32; 95% CI, 1.08-1.62) and Filipino (HR = 1.31; 95% CI, 1.08-1.60) individuals, and similar in Japanese individuals (HR = 1.44; 95% CI, 1.15-1.81). Heterogeneity in this association across Asian subgroups may be related to type 2 diabetes severity. Understanding this heterogeneity may inform prevention strategies to prevent dementia for all racial and ethnic groups.

Assessing mental health treatment receipt among Asian adults with limited English proficiency using an intersectional approach.

US Asian adults and people with limited English proficiency (LEP) confront mental health treatment receipt disparities. At the intersection of racial and language injustice, Asian adults with LEP may face even greater disparity, but studies have not assessed this through explicitly intersectional approaches. Using 2019 and 2020 National Survey of Drug Use and Health data, we computed disparities in mental health treatment among those with mental illness comparing: non-Hispanic (NH) Asian adults with LEP to NH White adults without LEP (joint disparity), NH Asian adults without LEP to NH White adults without LEP (referent race disparity), NH Asian adults with LEP to those without LEP (referent LEP disparity), and the joint disparity versus the sum of referent disparities (excess intersectional disparity). In age- and gender-adjusted analyses, excess intersectional disparity was 26.8% (95% CI, -29.8 to 83.4) of the joint disparity in 2019 and 63.0% (95% CI, 29.1-96.8) in 2020. The 2019 joint disparity was 1.37 (95% CI, 0.31-2.42) times that if the race-related disparity did not vary by LEP, and if LEP-related disparity did not vary by race; this figure was 2.70 (95% CI, 0.23-5.17) in 2020. These findings highlight the necessity of considering the intersection of race and LEP in addressing mental health treatment disparities. This article is part of a Special Collection on Mental Health.

Racial and ethnic differences in epithelial ovarian cancer risk: an analysis from the Ovarian Cancer Association Consortium.

Limited estimates exist on risk factors for epithelial ovarian cancer (EOC) in Asian, Hispanic, and Native Hawaiian/Pacific Islander women. Participants in this study included 1734 Asian (n = 785 case and 949 control participants), 266 Native Hawaiian/Pacific Islander (n = 99 case and 167 control participants), 1149 Hispanic (n = 505 case and 644 control participants), and 24 189 White (n = 9981 case and 14 208 control participants) from 11 studies in the Ovarian Cancer Association Consortium. Logistic regression models estimated odds ratios (ORs) and 95% CIs for risk associations by race and ethnicity. Heterogeneity in EOC risk associations by race and ethnicity (P ≤ .02) was observed for oral contraceptive (OC) use, parity, tubal ligation, and smoking. We observed inverse associations with EOC risk for OC use and parity across all groups; associations were strongest in Native Hawaiian/Pacific Islander and Asian women. The inverse association for tubal ligation with risk was most pronounced for Native Hawaiian/Pacific Islander participants (odds ratio (OR) = 0.25; 95% CI, 0.13-0.48) compared with Asian and White participants (OR = 0.68 [95% CI, 0.51-0.90] and OR = 0.78 [95% CI, 0.73-0.85], respectively). Differences in EOC risk factor associations were observed across racial and ethnic groups, which could be due, in part, to varying prevalence of EOC histotypes. Inclusion of greater diversity in future studies is essential to inform prevention strategies. This article is part of a Special Collection on Gynecological Cancers.

Understanding racial/ethnic disparities in COVID-19 mortality using a novel metric: COVID excess mortality percentage.

Prior research on racial/ethnic disparities in COVID-19 mortality has often not considered to what extent they reflect COVID-19-specific factors, versus preexisting health differences. This study examines how racial/ethnic disparities in COVID-19 mortality vary with age, sex, and time period over April-December 2020 in the United States, using mortality from other natural causes as a proxy for underlying health. We study a novel measure, the COVID excess mortality percentage (CEMP), defined as the COVID-19 mortality rate divided by the non-COVID natural mortality rate, converted to a percentage, where the CEMP denominator controls (albeit imperfectly) for differences in population health. Disparities measured using CEMP deviate substantially from those in prior research. In particular, we find very high disparities (up to 12:1) in CEMP rates for Hispanics versus Whites, particularly for nonelderly men. Asians also have elevated CEMP rates versus Whites, which were obscured in prior work by lower overall Asian mortality. Native Americans and Blacks have significant disparities compared with White populations, but CEMP ratios to Whites are lower than ratios reported in other work. This is because the higher COVID-19 mortality for Blacks and Native Americans comes partly from higher general mortality risk and partly from COVID-specific risk.