East is east or is it? Racialization of Asian, Middle Eastern, and Pacific Islander persons.

The conventional use of racial categories in health research naturalizes "race" in problematic ways that ignore how racial categories function in service of a White-dominated racial hierarchy. In many respects, racial labels are based on geographic designations. For instance, "Asians" are from Asia. Yet, this is not always a tenable proposition. For example, Afghanistan resides in South Asia, and shares a border with China and Pakistan. Yet, people from Afghanistan are not considered Asian, but Middle Eastern, by the US Census. Furthermore, people on the west side of the Island of New Guinea are considered Asian, whereas those on the eastern side are considered Pacific Islander. In this article, we discuss the complexity of the racial labels related to people originating from Oceania and Asia, and, more specifically, those groups commonly referred to as Pacific Islander, Middle Eastern, and Asian. We begin with considerations of the aggregation fallacy. Just as the ecological fallacy refers to erroneous inferences about individuals from group data, the aggregation fallacy refers to erroneous inferences about subgroups (eg, Hmong) from group data (ie, all Asian Americans), and how these inferences can contribute to stereotypes such as the "model minority." We also examine how group averages can be influenced merely by the composition of the subgroups, and how these, in turn, can be influenced by social policies. We provide a historical overview of some of the issues facing Pacific Islander, Middle Eastern, and Asian communities, and conclude with directions for future research.

Patterns of Change in Race Category in the Electronic Medical Record of a Pediatric Population.

This cross-sectional study sought to quantify the frequency of change in race category in the electronic medical record (EMR) of a pediatric population.

Children's cross-cultural categorizations of racially ambiguous faces in Taiwan and the U.S.

OBJECTIVES: Racially ambiguous face categorization research is growing in prominence, and yet the majority of this work has focused on White and Western samples and has primarily used biracial Black/White stimuli. Past findings suggest that biracial Black/White faces are more often seen as Black than White, but without testing these perceptions with other groups, generalizability cannot be guaranteed. METHODS: We tested 3-7-year-old Asian children living in Taiwan-an Eastern cultural context (N = 74)-and Asian children living in the U.S.-a Western cultural context (N = 65) to explore the role that cultural group membership may play in biracial perceptions. Children categorized 12 racially ambiguous biracial Black/White faces and 12 biracial Asian/White faces in a dichotomous forced-choice task and completed a racial constancy measurement. RESULTS: Regarding biracial Black/White faces, Taiwanese and Asian American children both categorized the faces as White significantly more often compared to chance levels, regardless of racial constancy beliefs. For biracial Asian/White faces, Taiwanese children with racial constancy beliefs categorized the faces significantly more often as White, whereas Taiwanese children without racial constancy beliefs categorized the faces significantly more often as Asian. However, Asian American children did not show a bias in categorizing biracial Asian/White faces. CONCLUSIONS: Results suggest that hyperdescent over hypodescent for more commonly studied biracial Black/White faces generalizes in both cultural contexts. However, biracial Asian/White stimuli may be perceived in more fixed-like patterns in predominately Asian contexts, since only Taiwanese children showed increased outgroup categorizations once racial constancy beliefs were endorsed. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Categorizing a Face and Facing a Category: The Constructive Impacts of Ambiguity and Uncertainty in Racial Categorization.

The past generation has seen a dramatic rise in multiracial populations and a consequent increase in exposure to individuals who challenge monolithic racial categories. We examine and compare two potential outcomes of the multiracial population growth that may impact people's racial categorization experience: (a) exposure to racially ambiguous faces that visually challenge the existing categories, and (b) a category that conceptually challenges existing categories (including "biracial" as an option in addition to the monolithic "Black" and "White" categories). Across four studies (N = 1,810), we found that multiple exposures to faces that are racially ambiguous directly lower essentialist views of race. Moreover, we found that when people consider a category that blurs the line between racial categories (i.e., "biracial"), they become less certain in their racial categorization, which is associated with less race essentialism, as well. Importantly, we found that these two effects happen independently from one another and represent two distinct cognitive processes.

Smoking Cessation After Lung Cancer Diagnosis and the Risk of Second Primary Lung Cancer: The Multiethnic Cohort Study.

Background: Smoking cessation reduces lung cancer mortality. However, little is known about whether diagnosis of lung cancer impacts changes in smoking behaviors. Furthermore, the effects of smoking cessation on the risk of second primary lung cancer (SPLC) have not been established yet. This study aims to examine smoking behavior changes after initial primary lung cancer (IPLC) diagnosis and estimate the effect of smoking cessation on SPLC risk following IPLC diagnosis. Methods: The study cohort consisted of 986 participants in the Multiethnic Cohort Study who were free of lung cancer and active smokers at baseline (1993-1996), provided 10-year follow-up smoking data (2003-2008), and were diagnosed with IPLC in 1993-2017. The primary outcome was a change in smoking status from "current" at baseline to "former" at 10-year follow-up (ie, smoking cessation), analyzed using logistic regression. The second outcome was SPLC incidence after smoking cessation, estimated using cause-specific Cox regression. All statistical tests were 2-sided. Results: Among 986 current smokers at baseline, 51.1% reported smoking cessation at 10-year follow-up. The smoking cessation rate was statistically significantly higher (80.6%) for those diagnosed with IPLC between baseline and 10-year follow-up vs those without IPLC diagnosis (45.4%) during the 10-year period (adjusted odds ratio = 5.12, 95% confidence interval [CI] = 3.38 to 7.98; P < .001). Incidence of SPLC was statistically significantly lower among the 504 participants who reported smoking cessation at follow-up compared with those without smoking cessation (adjusted hazard ratio = 0.31, 95% CI = 0.14 to 0.67; P = .003). Conclusion: Lung cancer diagnosis has a statistically significant impact on smoking cessation. Quitting smoking after IPLC diagnosis may reduce the risk of developing a subsequent malignancy in the lungs.

Firearm Storage Practices of US Members of the American College of Surgeons.

BACKGROUND: As a part of its firearm injury prevention action plan, the American College of Surgeons (ACS) surveyed the entire US ACS membership regarding individual members' knowledge, experience, attitudes, degree of support for ACS Committee on Trauma (COT) firearm programs, and degree of support for a range of firearm injury prevention policies. This survey included questions regarding members' prevalence of firearm ownership, type of firearm(s) owned, type of firearm(s) in the home, personal reasons for firearm ownership, and methods of firearm/ammunition storage. STUDY DESIGN: An email invitation to participate in an anonymous, 23-item survey on firearms was sent to all US ACS members (n = 54,761) by a contracted survey research firm. Cross tabulation of questionnaire items by demographic characteristics and chi-square analyses were performed with statistical significance p < 0.05. RESULTS: The overall response rate was 20.4% (11,147/54,761). Forty-two percent of respondents keep firearms in their home (82% long guns, 82% handguns; 32% high-capacity magazine fed, semi-automatic rifles); 75% keep guns for self-defense/protection, 73% for target shooting; 39% store firearms unlocked, and 32% store guns unlocked and loaded. Results vary by practice/training location, practice type, military experience, sex, age, presence of children in the home, level of training, and race/ethnicity. CONCLUSIONS: A significant percentage of ACS members keep firearms in their home, and nearly one-third store firearms in an unlocked and loaded fashion. Safe storage is a basic tenet of responsible firearm ownership. These data present opportunities for engaging surgeons in efforts to improve safe firearm storage.

Race, eugenics, and the canceling of great scientists.

Special Issue: Race reconciled II: Interpreting and communicating biological variation and race in 2021 Francis Galton and Karl Pearson.

Brief Report: Classifying Rates of Students with Autism and Intellectual Disability in North Carolina: Roles of Race and Economic Disadvantage.

We examined special education classifications among students aged 3-21 in North Carolina public schools, highlighting autism spectrum disorder (ASD) and intellectual disability (ID). Results revealed variability by county in ASD and ID prevalence, and in county-level ratios of ID vs. ASD classifications. Sociodemographic characteristics predicted proportion of ASD or ID within a county; correlations showed an association between race and ID, but not ASD. County's median household income predicted proportion of students classified as ASD and ID (opposite directions), controlling for number of students and gender. Variability was unlikely related to biological incidence, and more likely related to district/school practices, or differences in resources. Disparities warrant further examination to ensure that North Carolina's youth with disabilities access necessary, appropriate resources.

Skin color and race.

Skin color is the primary physical criterion by which people have been classified into groups in the Western scientific tradition. From the earliest classifications of Linnaeus, skin color labels were not neutral descriptors, but connoted meanings that influenced the perceptions of described groups. In this article, the history of the use of skin color is reviewed to show how the imprint of history in connection with a single trait influenced subsequent thinking about human diversity. Skin color was the keystone trait to which other physical, behavioral, and culture characteristics were linked. To most naturalists and philosophers of the European Enlightenment, skin color was influenced by the external environment and expressed an inner state of being. It was both the effect and the cause. Early investigations of skin color and human diversity focused on understanding the central polarity between "white" Europeans and nonwhite others, with most attention devoted to explaining the origin and meaning of the blackness of Africans. Consistently negative associations with black and darkness influenced philosophers David Hume and Immanuel Kant to consider Africans as less than fully human and lacking in personal agency. Hume and Kant's views on skin color, the integrity of separate races, and the lower status of Africans provided support to diverse political, economic, and religious constituencies in Europe and the Americas interested in maintaining the transatlantic slave trade and upholding chattel slavery. The mental constructs and stereotypes of color-based races remained, more strongly in some places than others, after the abolition of the slave trade and of slavery. The concept of color-based hierarchies of people arranged from the superior light-colored people to inferior dark-colored ones hardened during the late seventeenth century and have been reinforced by diverse forces ever since. These ideas manifest themselves as racism, colorism, and in the development of implicit bias. Current knowledge of the evolution of skin color and of the historical development of color-based race concepts should inform all levels of formal and informal education. Awareness of the influence of color memes and race ideation in general on human behavior and the conduct of science is important.

Race, ethnicity, and racism in the nutrition literature: an update for 2020.

Social disparities in the US and elsewhere have been terribly highlighted by the current COVID-19 pandemic but also an outbreak of state-sponsored violence. The field of nutrition, like other areas of science, has commonly used 'race' to describe research participants and populations, without the recognition that race is a social, not a biologic, construct. We review the limitations of classifying participants by race, and recommend a series of steps for authors, researchers and policymakers to consider when producing and reading the nutrition literature. We recommend that biomedical researchers, especially those in the field of nutrition, abandon the use of racial categories to explain biologic phenomena but instead rely on a more comprehensive framework of ethnicity; that authors consider not just race and ethnicity but many social determinants of health, including experienced racism; that race and ethnicity not be conflated; that dietary pattern descriptions inform ethnicity descriptions; and that depersonalizating language be avoided.

Examining "race" in physiology.

Racial disparities in cardiovascular and cerebrovascular health outcomes are well described, and recent research has shed light on the mechanistic underpinnings of those disparities. However, "race" is a social construct that is poorly defined and continually evolving and is historically based on faulty premises. The continued categorization by race in physiological research suggests that there are inherent differences between races, rather than addressing the specific underlying factors that result in health disparities between groups. The purpose of this Perspectives article is to provide a brief history of the genesis of categorization by race, why such categorization should be reconsidered in physiology research, and offer recommendations to more directly investigate the underlying factors that result in group disparities in cardiovascular and cerebrovascular health.

On the use of machine learning algorithms in forensic anthropology.

The classification performance of the statistical methods binary logistic regression (BLR), multinomial and penalized multinomial logistic regression (MLR, pMLR), linear discriminant analysis (LDA), and the machine learning algorithms naïve Bayes classification (NBC), decision trees (DT), random forest (RF), artificial neural networks (ANN), support vector machines (linear, polynomial or radial) (SVM), multivariate adaptive regression splines (MARS), and extreme gradient boosting (XGB) is examined in skeletal sex/ancestry estimation. The datasets used to test the performance of these methods were obtained from a documented human skeletal collection, Athens Collection, and the Howells Craniometric data set. For their implementation, an R package has been written to search for the optimum tuning parameters under cross-validation and perform sex/ancestry classification. It was found that the classification performance may vary significantly depending on the problem. From the methods tested, LDA and the machine learning technique of linear SVM exhibit the best performance, with high prediction accuracy and relatively low bias in most of the tests. ANN and pMLR can generally be considered to give satisfactory predictions, whereas NBC when using metric traits and DT are the worst of the classification methods examined. The possibility of making the models developed via the machine learning algorithms applicable to other assemblages without the use of a training sample is also discussed.

A small NGS-SNP panel of ancestry inference designed to distinguish African, European, East, and South Asian populations.

In this study, a small set of ancestry informative SNPs was selected to differentiate African, European, East and South Asian samples, which was detected by the next-generation sequencing technology. A total of 127 Chinese Shaanxi Han individuals were collected as test samples. No statistically significant linkage disequilibrium of any pair of loci or departure from Hardy-Weinberg equilibrium of each locus was observed in the test population. To evaluate the performance of ancestry assignment using this panel, admixture analysis, principal component analysis, and likelihood ratio calculations were conducted based on the 1000 genome data and test samples. All populations were clustered into four groups, African, European, South and East Asian populations, which were consistent with their geographical origins. The pairwise fixation index (FST ) between populations from different continental groups ranged from 0.140 to 0.621 with average 0.415, and the pairwise FST between populations from the same continent ranged from 0.000 to 0.056 with average 0.012. The likelihood ratio results of 125 test individuals indicated that their ancestry components were highly possible from East Asia. In conclusion, this small set of ancestry informative SNPs can be used as a reliable tool to identify and quantify ancestry components of unknown samples.

Blurred lines: racial misclassification in death certificates in Brazil.

OBJECTIVES: To analyze the agreement between self-reported race and race reported on death certificates for older (≥ 60 years) residents of São Paulo, Brazil (from 2000 to 2016) and to estimate weights to correct mortality data by race. METHODS: We used data from the Health, Well-Being and Aging Study (SABE) and from Brazil's Mortality Information System. Misclassification was identified by comparing individual self-reported race with the corresponding race on the death certificate (n = 1012). Racial agreement was analyzed by performing sensitivity and Cohen's Kappa tests. Multinomial logistic regressions were adjusted to identify characteristics associated with misclassification. Correction weights were applied to race-specific mortality rates. RESULTS: Total racial misclassification was 17.3% (13.1% corresponded to whitening, and 4.2% to blackening). Racial misclassification was higher for self-reported pardos/mixed (63.5%), followed by blacks (42.6%). Official vital statistics suggest highest elderly mortality rates for whites, but after applying correction weights, black individuals had the highest rate (45.85/1000 population), followed by pardos/mixed (42.30/1000 population) and whites (37.91/1000 population). CONCLUSIONS: Official Brazilian data on race-specific mortality rates may be severely misclassified, resulting in biased estimates of racial inequalities.

Improvising Race: Clinical Trials and Racial Classification.

In this article, I explore how ethnicity codes are used in a prenatal trial in the United Kingdom. Here, ethnicity codes are generative objects that relationally cohere across staff, surveys and pregnant participants to create racial improvisations. I examine the origins and adaptations of ethnicity codes across three ethnographic and historical cases at micro and macro scales. The improvisation of race is a window into the movements, negotiations and temporality of racialization in clinical practice. By conceiving race as mercurial, I argue that improvisation is a key mechanism for the routinization of racial categories in clinical practice.

[Classification of color/race in children from indigenous households in Brazil]. / Classificação de cor/raça de filhos em domicílios indígenas no Brasil.

Studies on racial classification systems in Brazil reveal the influence of socioeconomic factors in the expression of color/race categories, especially for whites and blacks. The aim of this study was to analyze specific family arrangements between fathers, mothers, and children, at least one of whom was indigenous. Based on the sample from the 2010 Population Census, we selected households with at least three residents (father, mother, and children), at least one of whom was indigenous. Children were characterized according to color/race (white, brown, and indigenous), sex, age, per capita household income, maternal schooling, and number of urban and rural household residents. Descriptive and multinomial logistic regression analyses were performed. We estimated a total of 290.247 children (of whom 77.1% were classified as indigenous, 13.8% brown, and 9.1% white), 74.3% living in rural households and 41.3% in the North region of Brazil; children classified as white and brown were located mostly in urban areas. The odds of children of indigenous fathers or mothers being classified as white were higher in the Southeast and South. The odds of children being classified as white or brown increased proportionally with monthly income and maternal schooling. The findings show that socioeconomic status is significantly associated with color/race classification in Brazil, including in indigenous households.

As investigações sobre os sistemas de classificação racial no Brasil evidenciam as influências de aspectos socioeconômicos na expressão das categorias de cor/raça, com destaque para brancos e negros. O objetivo deste trabalho foi analisar arranjos específicos formados entre pais, mães e filhos em que, pelo menos, um deles era indígena. Com base na amostra do Censo Demográfico de 2010, foram selecionados domicílios com pelo menos três moradores (pai, mãe e filhos), sendo, pelo menos, um indígena. Os filhos foram caracterizados segundo cor/raça (branca, parda e indígena), sexo, idade, renda domiciliar per capita, escolaridade das mães e número de moradores nos domicílios urbanos e rurais. Foram realizadas análises descritivas e regressão logística multinomial. Estimou-se um total de 290.247 filhos (77,1% indígenas, 13,8% pardos e 9,1% brancos), dos quais 74,3% residiam em domicílios rurais e 41,3% na Região Norte; filhos brancos e pardos estavam localizados majoritariamente em áreas urbanas. As chances de os filhos de pais ou mães indígenas terem sido classificados como brancos foram mais expressivas nas regiões Sudeste e Sul. Os filhos apresentaram maiores chances de serem classificados como brancos e pardos com o aumento do rendimento mensal e da escolaridade materna. Os achados demonstram como a posição socioeconômica está associada de forma significativa com os processos de classificação de cor/raça no Brasil, também nos segmentos indígenas da população.

Las investigaciones sobre los sistemas de clasificación racial en Brasil evidencian las influencias de aspectos socioeconómicos en la expresión de las categorías de color/raza, destacando blancos y negros. El objetivo de este trabajo fue analizar núcleos específicos familiares formados por padres, madres e hijos donde, por lo menos, uno de ellos era indígena. A partir de la muestra del Censo Demográfico 2010, se seleccionaron domicilios con por lo menos tres residentes (padre, madre e hijos), siendo, por lo menos, uno indígena. Todos ellos fueron caracterizados según color/raza (blanca, mestiza e indígena), sexo, edad, renta domiciliaria per cápita, escolaridad de las madres y número de residentes en los domicilios urbanos y rurales. Se realizaron análisis descriptivos y una regresión logística multinomial. Se estimó un total de 290.247 hijos (77,1% indígenas, 13,8% mestizos y 9,1% blancos), de los cuales un 74,3% residían en domicilios rurales y 41,3% en la región norte; los hijos blancos y mestizos estaban localizados mayoritariamente en áreas urbanas. Las oportunidades de que los hijos de padres o madres indígenas hayan sido clasificados como blancos fueron más expresivas en las regiones del sudeste y sur. Los hijos presentaron mayores oportunidades de ser clasificados como blancos y mestizos con el aumento de la renta mensual, así como de la escolaridad materna. Los hallazgos demuestran como la posición socioeconómica se asocia de forma significativa con los procesos de clasificación de color/raza en Brasil, también en los segmentos indígenas de la población.