Using Allostatic Load to Validate Self-rated Health for Racial/Ethnic Groups in the United States

This study evaluates the validity of subjective health measurement for racial/ethnic comparisons in the United States, by assessing whether allostatic load (AL) is equally associated with poor/fair self-rated health (SRH) for different racial/ethnic groups. This study used data from the National Health and Nutrition Survey (NHANES) for 2006–2010. Multivariable logistic regression models were fit and stratified by race/ethnicity to study the association between AL and poor/fair SRH. Higher levels of AL were associated with higher odds of reporting poor/fair SRH. However, this association differs by race/ethnicity. Analysis of interactions and racial/ethnic-stratified models suggest that AL is less associated with poor/fair SRH status for non-Hispanic Blacks and Hispanics populations. These results demonstrate that subjective health ratings potentially underestimate actual measures of biological health risk, especially for racial/ethnic minorities. As a result, population-based assessments of racial/ethnic health disparities based on SRH may be significantly understated.     

Trends in educational attainment by race/ethnicity,nativity, and sex in the United States, 1989–2005

Despite the importance of education for shaping individuals’ life chances, little research has examined trends and differences in educational attainment for detailed demographic subpopulations in the United States. We use labour market segmentation and cohort replacement theories, linear regression methods, and data from the National Health Interview Survey to understand educational attainment by race/ethnicity, nativity, birth cohort, and sex between 1989 and 2005 in the United States. There have been significant changes in educational attainment over time. In support of the cohort replacement theory, we find that across cohorts, females have enjoyed greater gains in education than men, and for some race/ethnic groups, recent cohorts of women average more years of education than comparable men. And in support of labour market segmentation theories, foreign-born Mexican Americans continue to possess relatively low levels of educational attainment. Our results can aid policymakers in identifying vulnerable populations, and form the base from which to better understand changing disparities in education.     

Trends in Educational Attainment by Race/Ethnicity, Nativity, and Sex in the United States, 1989-2005

Despite the importance of education for shaping individuals' life chances, little research has examined trends and differences in educational attainment for detailed demographic subpopulations in the United States. We use labor market segmentation and cohort replacement theories, linear regression methods, and data from the National Health Interview Survey to understand educational attainment by race/ethnicity, nativity, birth cohort, and sex between 1989 and 2005 in the United States. There have been significant changes in educational attainment over time. In support of the cohort replacement theory, we find that across cohorts, females have enjoyed greater gains in education than men, and for some race/ethnic groups, recent cohorts of women average more years of education than comparable men. And in support of labor market segmentation theories, foreign-born Mexican Americans continue to possess relatively low levels of educational attainment. Our results can aid policymakers in identifying vulnerable populations, and form the base from which to better understand changing disparities in education.     

Maternal Social Disadvantage and Newborn Telomere Length in Archived Dried Blood Spots from the Michigan Neonatal Biobank

Telomeres are the protective caps at the ends of eukaryotic chromosomes. Short telomere length is associated with morbidity and mortality among adults and may mark the biological impact of social experiences. Using archived dried blood spots from the Michigan Neonatal Biobank, this study examined markers of maternal social disadvantage (educational attainment, receipt of public assistance, marital status, and race/ethnicity) from linked birth certificates as predictors of telomere length at birth in a sample of 192 singleton neonates born to non-Hispanic black, non-Hispanic white, and Latina mothers aged 20–35 years. Consistent with two recent studies in newborns, but counter to the idea that maternal social disadvantage is associated with shorter offspring telomere length, we found that infants born to black mothers had longer telomeres than those born to white mothers (b = 0.12, SE = 0.06, p = .05). However, black/white differences in newborn telomere length varied by receipt of public assistance. Among newborns whose mothers received WIC and/or Medicaid, there were no significant black/white differences in telomere length (b = 0.09, SE = 0.08, p = .25). In contrast, among those whose mothers did not receive public assistance—just 6 out of 69 infants born to black mothers versus 41 out of 69 infants born to white mothers—we found that babies born to black mothers had longer telomere length than babies born to white mothers (b = 0.37, SE = 0.16, p = .03). The interaction between black race/ethnicity and receipt of public assistance did not reach the conventional threshold for statistical significance (b = ?0.22, SE = 0.15, p = .13), suggesting that this finding may be due to chance. No other markers of maternal social disadvantage were related to infant telomere length. Although replication of these results in a larger sample with more infants born to black mothers with relatively high socioeconomic status is needed, this study offers preliminary support for the hypothesis that race/ethnic differences in newborn telomere length depend on social context.     

Variation in LPA is associated with Lp(a) levels in three populations from the Third National Health and Nutrition Examination Survey

The distribution of lipoprotein(a) [Lp(a)] levels can differ dramatically across diverse racial/ethnic populations. The extent to which genetic variation in LPA can explain these differences is not fully understood. To explore this, 19 LPA tagSNPs were genotyped in 7,159 participants from the Third National Health and Nutrition Examination Survey (NHANES III). NHANES III is a diverse population-based survey with DNA samples linked to hundreds of quantitative traits, including serum Lp(a). Tests of association between LPA variants and transformed Lp(a) levels were performed across the three different NHANES subpopulations (non-Hispanic whites, non-Hispanic blacks, and Mexican Americans). At a significance threshold of p<0.0001, 15 of the 19 SNPs tested were strongly associated with Lp(a) levels in at least one subpopulation, six in at least two subpopulations, and none in all three subpopulations. In non-Hispanic whites, three variants were associated with Lp(a) levels, including previously known rs6919246 (p = 1.18 × 10(-30)). Additionally, 12 and 6 variants had significant associations in non-Hispanic blacks and Mexican Americans, respectively. The additive effects of these associated alleles explained up to 11% of the variance observed for Lp(a) levels in the different racial/ethnic populations. The findings reported here replicate previous candidate gene and genome-wide association studies for Lp(a) levels in European-descent populations and extend these findings to other populations. While we demonstrate that LPA is an important contributor to Lp(a) levels regardless of race/ethnicity, the lack of generalization of associations across all subpopulations suggests that specific LPA variants may be contributing to the observed Lp(a) between-population variance.     

Obesity and C-reactive protein levels among white, black, and hispanic US adults

Objective: Studies suggest that obesity's adverse impact on cardiovascular mortality may be reduced in African Americans relative to white Americans. We examined whether obesity's association with novel cardiovascular risk factors such as C‐reactive protein (CRP) also varies by race and ethnicity. Methods and Procedures: We analyzed data from 10,492 white, African‐American, and Hispanic‐American participants of the 1999–2004 National Health and Nutrition Examination Survey, who were aged 20 years and older, with a BMI ≥18.5 kg/m² and CRP ≤10 mg/l. We fit sex‐specific multivariable models of the association of BMI or waist circumference with log CRP levels and tested for interactions of BMI or waist circumference with race/ethnicity. Results: Higher BMI was significantly associated with higher CRP in all racial/ethnic groups for both men and women (P > 0.05 for BMI–race/ethnicity interaction) before and after adjustment for age, education, and health behaviors. Larger waist circumference was also associated with higher CRP levels in all racial/ethnic groups before and after adjustment; among women, the relationship was strongest for Mexican Hispanics (P < 0.01 for waist circumference–race/ethnicity interaction). Results were similar after additional adjustment for medications that might affect CRP levels. Discussion: The association between obesity and CRP is at least as strong in African Americans and Hispanic Americans as in white Americans. Racial differences in the relationship between obesity and cardiovascular mortality are unlikely to be due to racial differences in obesity's impact on CRP.     

Survival disparities among racial/ethnic groups of women with ovarian cancer: An update on data from the Surveillance,Epidemiology and End Results (SEER) registry

ObjectiveUpdate information on racial disparities in ovarian cancer survival from the Surveillance, Epidemiology, and End Results (SEER) Program.MethodsData on women with epithelial ovarian cancer from the SEER Program between 1995–2015 were collected including; patient ID, age at diagnosis, year of diagnosis, surgery, chemotherapy, radiation, insurance status, region of registry, tumor grade, tumor histology, tumor summary stage, survival months, race/ethnicity, and vital status. Multivariable analyses were performed to examine overall survival, differences in survival by age at diagnosis, by year of diagnosis, risk of not receiving surgery, and risk of 12-month death across racial/ethnic groups.ResultsNon-Hispanic black women (n = 4261) had an increased risk of overall mortality (HR = 1.28, CI: 1.23–1.33) when compared to non-Hispanic white women (n = 47,475), which appears more pronounced among women diagnosed under age 50. Hispanic women (n = 7052) had no difference in survival when compared to non-Hispanic white women (HR = 1.03, CI: 0.99–1.07). Non-Hispanic Asian/PI women (n = 5008) exhibited slightly reduced risk (HR = 0.95, CI: 0.91–0.99) when compared to non-Hispanic white women. Risk of not receiving surgical intervention remains high among non-Hispanic black women and Hispanic women, when compared to non-Hispanic white women. Non-Hispanic black women, non-Hispanic Asian/PI women, and Hispanic women were all at significantly greater risk of dying within the first 12 months of cancer diagnosis when compared to non-Hispanic white women.ConclusionDisparities in survival remain across various racial/ethnic groups, when compared to non-Hispanic white women with ovarian cancer. These disparities should continue to be examined in an effort to decrease such gaps.     

U.S. racial and ethnic relations in the twenty-first century

The study of U.S. racial and ethnic relations is often reduced to the study of racial or ethnic relations. This article reveals the limitations of a focus on ethnicity or race, in isolation, and instead urges a new framework that brings them together. We consider three cases that have been conceptualized by the ethnicity paradigm as assimilation projects and by the race paradigm as structural racism projects, respectively: (1) African-American entrepreneurs; (2) the Mexican middle class; and (3) black immigrant deportees. We reveal the shortcomings of the ethnicity paradigm to consider race as a structural force or to acknowledge that structural racism conditions incorporation in marked ways; and the limitations of the race paradigm to take seriously group members’ agency in fostering social capital that can mediate racial inequality. Instead, we offer a unifying approach to reveals how ethnicity and race condition members’ life chances within the U.S. social structure.     

Racial/ethnic variations in male testosterone levels: a probable contributor to group differences in health.

Racial and ethnic variations in serum testosterone levels were investigated among a large sample of male Vietnam era veterans. Based on geometric means, significant average differences were found between 3,654 non-Hispanic white and 525 black individuals. The geometric mean for testosterone levels among 200 Hispanic individuals was similar to that of non-Hispanic white individuals. Regarding two other racial/ethnic groups (Asian/Pacific Islanders and Native Americans), no significant differences were found, due perhaps to small sample sizes. Results were interpreted as having considerable potential for explaining some of the race differences in the incidences of cardiovascular diseases, hypertension, and prostate cancer.     

Predicting bone turnover following tobacco exposure using bone alkaline phosphatase and N-telopeptide biomarkers and possible variability and effect modification of these markers by race/ethnicity

Abstract

Introduction: This study investigated the systemic response of serum bone alkaline phosphatase (SBAP) and urinary N-telopeptide (UNTX) to tobacco exposure and environmental tobacco smoke (ETS) and the possible effect modification (and variability) of this response by racial/ethnic origin.

Methods: Data (n?=?5411) were obtained from the National Health and Nutrition Examination Survey, with data analysis done on adults aged ≥ 20?years. Outcome variables were SBAP and UNTX. Independent variable was tobacco exposure measured using serum cotinine levels and adjusted for covariates. Generalized linear models were used to explore associations.

Results: A percentage increase in log transformed serum cotinine was associated with a 0.005 percentage increase in log transformed SBAP (CI: 0.002, 0.008) and 0.02 percentage increase in log transformed UNTX (CI: ?0.01, 0.04) with interaction between cotinine and race/ethnicity (p?=?0.01). Stratifying by race/ethnicity, tobacco exposure was associated with significant decreases in UNTX among non-Hispanic Whites – 0.008(?0.014, ?0.002) and Mexican Americans ?0.014 (?0.025, ?0.002) only. Categories of serum cotinine were associated with a monotonic increase in SBAP (p for trend <0.001) and monotonic non-linear decrease in UNTX (p for trend?>?0.05).

Conclusions: Tobacco and environmental tobacco exposure are associated with SBAP and increased bone formation. The response of UNTX to these exposures is modified by race/ethnicity with non-Hispanic Whites and Mexican-Americans less sensitive to the resorptive effects of tobacco exposure on bone.     

Racial/Ethnic Differences in Early-Life Mortality in the United States

U.S. early-life (ages 1–24) deaths are tragic, far too common, and largely preventable. Yet demographers have focused scant attention on U.S. early-life mortality patterns, particularly as they vary across racial and ethnic groups. We employed the restricted-use 1999–2011 National Health Interview Survey–Linked Mortality Files and hazard models to examine racial/ethnic differences in early-life mortality. Our results reveal that these disparities are large, strongly related to differences in parental socioeconomic status, and expressed through different causes of death. Compared to non-Hispanic whites, non-Hispanic blacks experience 60 percent and Mexican Americans 32 percent higher risk of death over the follow-up period, with demographic controls. Our finding that Mexican Americans experience higher early-life mortality risk than non-Hispanic whites differs from much of the literature on adult mortality. We also show that these racial/ethnic differences attenuate with controls for family structure and especially with measures of socioeconomic status. For example, higher mortality risk among Mexican Americans than among non-Hispanic whites is no longer significant once we controlled for mother’s education or family income. Our results strongly suggest that eliminating socioeconomic gaps across groups is the key to enhanced survival for children and adolescents in racial/ethnic minority groups.     

Social determinants of mortality from COVID-19: A simulation study using NHANES

BackgroundThe COVID-19 epidemic in the United States is widespread, with more than 200,000 deaths reported as of September 23, 2020. While ecological studies show higher burdens of COVID-19 mortality in areas with higher rates of poverty, little is known about social determinants of COVID-19 mortality at the individual level.Methods and findingsWe estimated the proportions of COVID-19 deaths by age, sex, race/ethnicity, and comorbid conditions using their reported univariate proportions among COVID-19 deaths and correlations among these variables in the general population from the 2017–2018 National Health and Nutrition Examination Survey (NHANES). We used these proportions to randomly sample individuals from NHANES. We analyzed the distributions of COVID-19 deaths by race/ethnicity, income, education level, and veteran status. We analyzed the association of these characteristics with mortality by logistic regression. Summary demographics of deaths include mean age 71.6 years, 45.9% female, and 45.1% non-Hispanic white. We found that disproportionate deaths occurred among individuals with nonwhite race/ethnicity (54.8% of deaths, 95% CI 49.0%–59.6%, p < 0.001), individuals with income below the median (67.5%, 95% CI 63.4%–71.5%, p < 0.001), individuals with less than a high school level of education (25.6%, 95% CI 23.4% –27.9%, p < 0.001), and veterans (19.5%, 95% CI 15.8%–23.4%, p < 0.001). Except for veteran status, these characteristics are significantly associated with COVID-19 mortality in multiple logistic regression. Limitations include the lack of institutionalized people in the sample (e.g., nursing home residents and incarcerated persons), the need to use comorbidity data collected from outside the US, and the assumption of the same correlations among variables for the noninstitutionalized population and COVID-19 decedents.ConclusionsSubstantial inequalities in COVID-19 mortality are likely, with disproportionate burdens falling on those who are of racial/ethnic minorities, are poor, have less education, and are veterans. Healthcare systems must ensure adequate access to these groups. Public health measures should specifically reach these groups, and data on social determinants should be systematically collected from people with COVID-19.

In this simulation study, Benjamin Seligman and colleagues explore socio-demographic factors associated with COVID-19 deaths in the US.     

Investigating the Relationship between Ethnic Consciousness,Racial Discrimination and Self-Rated Health in New Zealand

In this study, we examine race/ethnic consciousness and its associations with experiences of racial discrimination and health in New Zealand. Racism is an important determinant of health and cause of ethnic inequities. However, conceptualising the mechanisms by which racism impacts on health requires racism to be contextualised within the broader social environment. Race/ethnic consciousness (how often people think about their race or ethnicity) is understood as part of a broader assessment of the ‘racial climate’. Higher race/ethnic consciousness has been demonstrated among non-dominant racial/ethnic groups and linked to adverse health outcomes in a limited number of studies. We analysed data from the 2006/07 New Zealand Health Survey, a national population-based survey of New Zealand adults, to examine the distribution of ethnic consciousness by ethnicity, and its association with individual experiences of racial discrimination and self-rated health. Findings showed that European respondents were least likely to report thinking about their ethnicity, with people from non-European ethnic groupings all reporting relatively higher ethnic consciousness. Higher ethnic consciousness was associated with an increased likelihood of reporting experience of racial discrimination for all ethnic groupings and was also associated with fair/poor self-rated health after adjusting for age, sex and ethnicity. However, this difference in health was no longer evident after further adjustment for socioeconomic position and individual experience of racial discrimination. Our study suggests different experiences of racialised social environments by ethnicity in New Zealand and that, at an individual level, ethnic consciousness is related to experiences of racial discrimination. However, the relationship with health is less clear and needs further investigation with research to better understand the racialised social relations that create and maintain ethnic inequities in health in attempts to better address the impacts of racism on health.     

Racial/ethnic differences in body fatness among children and adolescents

Background: Although the BMI is widely used as a measure of adiposity, it is a measure of excess weight, and its association with body fatness may differ across racial or ethnic groups. Objective: To determine whether differences in body fatness between white, black, Hispanic, and Asian children vary by BMI‐for‐age, and whether the accuracy of overweight (BMI‐for‐age ≥ Centers for Disease Control and Prevention (CDC) 95th percentile) as an indicator of excess adiposity varies by race/ethnicity. Methods and Procedures: Total body dual‐energy X‐ray absorptiometry (DXA) provided estimates of %body fat among 1,104 healthy 5‐ to 18‐year‐olds. Results: At equivalent levels of BMI‐for‐age, black children had less (mean, 3%) body fatness than white children, and Asian girls had slightly higher (1%) levels of %body fat than white girls. These differences, however, varied by BMI‐for‐age, with the excess body fatness of Asians evident only among relatively thin children. The ability of overweight to identify girls with excess body fatness also varied by race/ethnicity. Of the girls with excess body fatness, 89% (24/27) of black girls, but only 50% (8/16) of Asian girls, were overweight (P = 0.03). Furthermore, the proportion of overweight girls who had excess body fatness varied from 62% (8/13) among Asians to 100% (13/13) among whites. Discussion: There are racial or ethnic differences in body fatness among children, but these differences vary by BMI‐for‐age. If race/ethnicity differences in body fatness among adults also vary by BMI, it may be difficult to develop race‐specific BMI cut points to identify equivalent levels of %body fat.     

Abdominal Obesity and Ethnic Differences in Diabetes Awareness,Treatment, and Glycemic Control

Objective: To compare racial/ethnic differences in diabetes awareness, treatment, and glycemic control between non-Hispanic white, non-Hispanic black, and Hispanic Americans. We also determined the impact of abdominal obesity on racial/ethnic differences in diabetes awareness, treatment, and glycemic control between these population groups. Research Methods and Procedures: Third National Health and Nutrition Examination Survey (NHANES III) data were utilized for this study. Diabetes awareness was defined as acknowledging diabetic status. Diabetes treatment was defined as current use of anti-diabetic medications, good glycemic control as HbA_1c < 8%, and abdominal obesity as waist circumference larger than expected. The impacts of abdominal obesity on racial/ethnic differences in diabetes awareness, treatment, and glycemic control were assessed using logistic regression analyses. Adjustments were made for age, education, smoking, alcohol intake, and health insurance. Results: Rates of diabetes awareness in whites, blacks, and Hispanics suffering from abdominal obesity were ∼74%, 30%, and 21% in men and 77%, 32%, and 19% in women, respectively. Rates of diabetes treatment were 70%, 23%, and 14% in men and 57%, 45%, and 23% in women, respectively. In men, rates of glycemic control were 64%, 40%, and 30%, and in women, they were 62%, 51%, and 27%, respectively. Abdominal obesity was associated with decreased diabetes awareness and glycemic control in women. Discussion: Subjects with abdominal obesity were found to have poorer glycemic controls compared to those without abdominal obesity. Because diabetes prevalences were partially explained by racial/ethnic differences in diabetes awareness, treatment, and glycemic control, there is a need to craft diabetes awareness, treatment, and control programs along racial/ethnic origins.     

Racial/ethnic differences in post-migration education among adult immigrants in the USA

Despite the extensive scholarly interest in racial/ethnic differences in education among immigrants in the USA, limited research has examined the determinants of racial/ethnic gaps in post-migration adult education. Most immigrants, however, move to the USA as young adults, when education is decisive in shaping their incorporation. We use the National Household Education Survey (NHES) to examine whether pre-migration human capital and post-migration socio-economic circumstances can account for racial/ethnic differences in post-migration schooling. The results reveal that Latino/a immigrants are less likely than white and Asian immigrants to attend advanced and career-related educational programmes, but they seek general education more than Asians. These differences can be explained by racial/ethnic disparities in pre-migration human capital and post-migration employment, with pre-migration education and language training being particularly important. We conclude that education has a tendency to reproduce class structures across borders, and that social policy should counteract these cumulative disadvantage processes.     

Associations between low Apgar scores and mortality by race in the United States: A cohort study of 6,809,653 infants

BackgroundApgar scores measure newborn health and are strongly associated with infant outcomes, but their performance has largely been determined in primarily white populations. Given the majority of the global population is not white, we aim to assess whether the association between low Apgar score and mortality in infants varies across racial groups.Methods and findingsPopulation-based cohort study using 2016 to 2017 United States National Vital Statistics System data. The study included singleton infants born between 37⁺⁰ and 44⁺⁶ weeks to mothers over 15 years, without congenital abnormalities. We looked at 3 different mortality outcomes: (1) early neonatal mortality; (2) overall neonatal mortality; and (3) infant mortality. We used logistic regression to assess the association between Apgar score (categorized as low, intermediate, and normal) and each mortality outcome, and adjusted for gestational age, sex, maternal BMI, education, age, previous number of live births, and smoking status, and stratified these models by maternal race group (as self-reported on birth certificates). The cohort consisted of 6,809,653 infants (52.8% non-Hispanic white, 23.7% Hispanic, 13.8% non-Hispanic black, 6.6% non-Hispanic Asian, and 3.1% non-Hispanic other). A total of 6,728,829 (98.8%) infants had normal scores, 63,467 (0.9%) had intermediate scores, and 17,357 (0.3%) had low Apgar scores. Compared to infants with normal scores, low-scoring infants had increased odds of infant mortality. There was strong evidence that this association varied by race (p < 0.001) with adjusted odds ratios (AORs) of 54.4 (95% confidence interval [CI] 49.9 to 59.4) in non-Hispanic white, 70.02 (95% CI 60.8 to 80.7) in Hispanic, 23.3 (95% CI 20.3 to 26.8) in non-Hispanic black, 100.4 (95% CI 74.5 to 135.4) in non-Hispanic Asian, and 26.8 (95% CI 19.8 to 36.3) in non-Hispanic other infants. The main limitation was missing data for some variables, due to using routinely collected data.ConclusionsThe association between Apgar scores and mortality varies across racial groups. Low Apgar scores are associated with mortality across racial groups captured by United States (US) records, but are worse at discriminating infants at risk of mortality for black and non-Hispanic non-Asian infants than for white infants. Apgar scores are useful clinical indicators and epidemiological tools; caution is required regarding racial differences in their applicability.

Emma Gillette and co-authors assess the associations between low Apgar scores and mortality in infants by race in the United States.     

The Defining Moment: Children's Conceptualization of Race and Experiences with Racial Discrimination

This paper examines whether children of marginalized racial/ethnic groups have an awareness of race at earlier ages than youth from non-marginalized groups, documents their experiences with racial discrimination, and utilizes a modified racism-related stress model to explore the relationship between perceived racial discrimination and self-esteem. Data were collected for non-Hispanic black, non-Hispanic white, and Hispanic children aged 7 - 12 using face-to-face interviews (n = 175). The concept of race was measured by assessing whether children could define race, if not a standard definition was provided. Racial discrimination was measured using the Williams Every-day-Discrimination Scale, self-esteem was measured using the Rosenberg Scale, and ethnic identity was assessed using the Multi-group Ethnic Identity Measure. Non-Hispanic black children were able to define race more accurately, but overall, Hispanic children encountered more racial discrimination, with frequent reports of ethnic slurs. Additionally, after accounting for ethnic identity, perceived racial discrimination remained a salient stressor that contributed to low self-esteem.     

Racial/ethnic differences in the utilization of chemotherapy among stage I-III breast cancer patients,stratified by subtype: Findings from ten National Program of Cancer Registries states

BackgroundThe study aimed to examine racial/ethnic differences in chemotherapy utilization by breast cancer subtype.MethodsData on female non-Hispanic white (NHW), non-Hispanic black (NHB), and Hispanic stage I-III breast cancer patients diagnosed in 2011 were obtained from a project to enhance population-based National Program of Cancer Registry data for Comparative Effectiveness Research. Hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2) were used to classify subtypes: HR+/HER2-; HR+/HER2+; HR-/HER2-; and HR-/HER2 + . We used multivariable logistic regression models to examine the association of race/ethnicity with three outcomes: chemotherapy (yes, no), neo-adjuvant chemotherapy (yes, no), and delayed chemotherapy (yes, no). Covariates included patient demographics, tumor characteristics, Charlson Comorbidity Index, other cancer treatment, and participating states/areas.ResultsThe study included 25,535 patients (72.1% NHW, 13.7% NHB, and 14.2% Hispanics). NHB with HR+/HER2- (adjusted odds ratio [aOR] 1.22, 95% CI 1.04–1.42) and Hispanics with HR-/HER2- (aOR 1.62, 95% CI 1.15–2.28) were more likely to receive chemotherapy than their NHW counterparts. Both NHB and Hispanics were more likely to receive delayed chemotherapy than NHW, and the pattern was consistent across each subtype. No racial/ethnic differences were found in the receipt of neo-adjuvant chemotherapy.ConclusionsCompared to NHW with the same subtype, NHB with HR+/HER2- and Hispanics with HR-/HER2- have higher odds of using chemotherapy; however, they are more likely to receive delayed chemotherapy, regardless of subtype. Whether the increased chemotherapy use among NHB with HR+/HER2- indicates overtreatment needs further investigation. Interventions to improve the timely chemotherapy among NHB and Hispanics are warranted.     

Apportionment of racial diversity: A review

It has become increasingly popular to theorize and assert significant genetic differences between arbitrary regional, ethnic, and racial groupings of humans. Beginning with Livingstone, Brace, and Newman is the early 1960s, biological anthropologists have shown that variation in human traits is non‐concordant along racial lines, as they are products of overlapping, dynamic selective pressures. In 1972, Lewontin analyzed blood groups, serum protein, and red blood cell enzyme variants and found that only about 6% of total genetic variance was accounted for by race, while the majority of variance is accounted for by differences between individuals. Using similar assays, Latter obtained similar results in 1980. In 1982, Nei and Roychoudhury analyzed 62 protein variants and 23 blood groups, finding that roughly 10% of genetic variance was accounted for by race. Analyzing protein, blood group, and HLA variants, Ryman and coworkers obtained similar figures in 1983. More recently, Dean and coworkers (1994) and Barbujani and coworkers (1997) have used PCR techniques to analyze RFLP and microsattelite loci, again yielding estimates of around 10% for the amount of genetic variance accounted for by race. Furthermore, recent research on regional and racial variance in mtDNA (Excoffier and coworkers, 1992), a traditional marker for human racial groupings, shows a higher proportion of variance within than across racial categories. These studies used a variety of assays and analytical techniques, some of which are designed to maximize the amount of variance accounted for by race. In light of this, the low proportion of genetic variance across racial groupings strongly suggests a re‐examination of the race concept. It no longer makes sense to adhere to arbitrary racial categories, or to expect that the next genetic study will provide the key to racial classification. Evol. Anthropol. 10:34–40, 2001. © 2001 Wiley‐Liss, Inc.