Conversations about race in Black and White US families: Before and after George Floyd's death.
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ABSTRACT:
SUBMITTER: Sullivan JN
PROVIDER: S-EPMC8463880 | biostudies-literature |
REPOSITORIES: biostudies-literature
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| S-EPMC8342502 | biostudies-literature
Project description:The Centers for Medicare and Medicaid Services administrative data contains two variables that are used for research and evaluation of health disparities: the enrollment database (EDB) beneficiary race code and the Research Triangle Institute (RTI) race code. The objective of this article is to examine state-level variation in racial/ethnic misclassification of EDB and RTI race codes compared with self-reported data collected during home health care. The study population included 4,231,370 Medicare beneficiaries who utilized home health care services in 2015. We found substantial variation between states in Medicare administrative data misclassification of self-identified Hispanic, Asian American/Pacific Islander, and American Indian/Alaska Native beneficiaries. Caution should be used when interpreting state-level health care disparities and minority health outcomes based on existing race variables contained in Medicare data sets. Self-reported race/ethnicity data collected during routine care of Medicare beneficiaries may be used to improve the accuracy of minority health and health disparities reporting and research.
| S-EPMC8602956 | biostudies-literature
Project description:The effect of health inequalities is determined by different socioeconomic, sex, and race conditions. This study aimed to analyze the association of tooth loss with race (defined by self-reported skin color) and sex. Based on the hypothesis that the association between tooth loss and race may be modified by sex, we also aimed to evaluate possible interactions between race and sex in association with this event, in a population-based study in the city of Campinas, Brazil. A directed acyclic graph was used to select covariates. The prevalence, of tooth loss was 19% higher in black women compared to white men (Prevalence ratio [PR]: 1.19; 95%CI: 1.05-1.34). Moreover, the prevalence of tooth loss in black women was 26% higher than in white women (PR: 1.26; 95%CI: 1.13-1.42); and, within the strata of black people, black women had 14% higher dental loss (PR: 1.14; 95%CI: 1.02-1.27) compared to black men. This study found a significant interaction between race and sex in tooth loss, with a disadvantage for black women. In addition, this work contributes to the discussion of health inequities and can support policies for the provision of universal dental care.
| S-EPMC9560604 | biostudies-literature
Project description:The health risks associated with smoking disproportionately burden Blacks, and Black adults are more likely to smoke than are White adults. Most adult smokers have their first smoking experience as teenagers; however, rates of smoking initiation during adolescence remain lower among Black compared with White youth.The level and impact of family and peer risk and protective factors on adolescent smoking across both groups were modeled prospectively from 8th to 10th grade in a sample of 331 (Black n = 162, White n = 168) families using data from self-administered computer-assisted questionnaires. Predictors included parent smoking, guidelines against substance use, monitoring, consistent discipline, attachment to parents, and association with deviant peers.Mean-level differences indicated greater risk for Black teens in some cases and higher protection in others. Multiple-group structural equation modeling indicated no race differences. Several factors affected both groups: (a) parenting factors reduced association with deviant peers, (b) association with deviant peers increased the risk of smoking in the 10th grade, and (c) teens were more likely to smoke if their parents smoked.Reduced smoking among Black teens compared with White teens may be due to the protection of clear parental guidelines about substance use and clearly stated consequences for failure to observe those guidelines.
| S-EPMC2671462 | biostudies-other
Project description:Background and objectivesLoneliness is consistently linked to worse depression/depressive symptoms; however, there are few studies that have examined whether the relationship between loneliness and depressive symptoms varies by race. The purpose of this study was to determine whether race moderated the relationship between loneliness and depressive symptoms.Research design and methodsData come from the 2014 wave of the Health and Retirement Study (HRS) Core survey and Psychosocial Leave-Behind Questionnaire; only black and white older adults were included in the analysis (N = 6,469). Depressive symptoms were operationalized by the eight-item Center for Epidemiological Studies-Depression scale; however, the "felt lonely" item was removed given concerns with collinearity. Loneliness was operationalized using the Hughes 3-Item Loneliness Scale. Sociodemographic variables included gender, age, education, household income, employment status, marital status, and living alone or with others. Furthermore, social support and negative interactions from family members and friends, and religious service attendance were included in the analysis. Lastly, we created an interaction term between race and loneliness. All analyses used survey weights to account for the complex multistage sampling design of the HRS. Missing data were multiply imputed.ResultsIn multivariable analysis, we found race significantly moderated the relationship between loneliness and depressive symptoms while controlling for sociodemographic covariates, social support and negative interaction variables, and religious service attendance.Discussion and implicationsOur findings demonstrate a differential racial effect for loneliness and depressive symptoms. For both blacks and whites, greater loneliness affected depressive symptoms; however, the effect was stronger among whites than it was for blacks. Given this is one of the first studies to examine the differential effects of race on loneliness and depressive symptoms, more research is necessary to determine the consistency of these results.
| S-EPMC7739884 | biostudies-literature
Project description:The murder of George Floyd by police in May 2020 sparked international protests and brought unparalleled levels of attention to the Black Lives Matter movement. As we show, his death set record levels of activity and amplification on Twitter, prompted the saddest day in the platform's history, and caused his name to appear among the ten most frequently used phrases in a day, where he is the only individual to have ever received that level of attention who was not known to the public earlier that same week. Importantly, we find that the Black Lives Matter movement's rhetorical strategy to connect and repeat the names of past Black victims of police violence-foregrounding racial injustice as an ongoing pattern rather than a singular event-was exceptionally effective following George Floyd's death: attention given to him extended to over 185 prior Black victims, more than other past moments in the movement's history. We contextualize this rising tide of attention among 12 years of racial justice activism on Twitter, demonstrating how activists and allies have used attention and amplification as a recurring tactic to lift and memorialize the names of Black victims of police violence. Our results show how the Black Lives Matter movement uses social media to center past instances of police violence at an unprecedented scale and speed, while still advancing the racial justice movement's longstanding goal to "say their names."
| S-EPMC9833594 | biostudies-literature
Project description:ImportanceStroke is the fifth-highest cause of death in the US and a leading cause of serious long-term disability with particularly high risk in Black individuals. Quality risk prediction algorithms, free of bias, are key for comprehensive prevention strategies.ObjectiveTo compare the performance of stroke-specific algorithms with pooled cohort equations developed for atherosclerotic cardiovascular disease for the prediction of new-onset stroke across different subgroups (race, sex, and age) and to determine the added value of novel machine learning techniques.Design, setting, and participantsRetrospective cohort study on combined and harmonized data from Black and White participants of the Framingham Offspring, Atherosclerosis Risk in Communities (ARIC), Multi-Ethnic Study for Atherosclerosis (MESA), and Reasons for Geographical and Racial Differences in Stroke (REGARDS) studies (1983-2019) conducted in the US. The 62 482 participants included at baseline were at least 45 years of age and free of stroke or transient ischemic attack.ExposuresPublished stroke-specific algorithms from Framingham and REGARDS (based on self-reported risk factors) as well as pooled cohort equations for atherosclerotic cardiovascular disease plus 2 newly developed machine learning algorithms.Main outcomes and measuresModels were designed to estimate the 10-year risk of new-onset stroke (ischemic or hemorrhagic). Discrimination concordance index (C index) and calibration ratios of expected vs observed event rates were assessed at 10 years. Analyses were conducted by race, sex, and age groups.ResultsThe combined study sample included 62 482 participants (median age, 61 years, 54% women, and 29% Black individuals). Discrimination C indexes were not significantly different for the 2 stroke-specific models (Framingham stroke, 0.72; 95% CI, 0.72-073; REGARDS self-report, 0.73; 95% CI, 0.72-0.74) vs the pooled cohort equations (0.72; 95% CI, 0.71-0.73): differences 0.01 or less (P values >.05) in the combined sample. Significant differences in discrimination were observed by race: the C indexes were 0.76 for all 3 models in White vs 0.69 in Black women (all P values <.001) and between 0.71 and 0.72 in White men and between 0.64 and 0.66 in Black men (all P values ≤.001). When stratified by age, model discrimination was better for younger (<60 years) vs older (≥60 years) adults for both Black and White individuals. The ratios of observed to expected 10-year stroke rates were closest to 1 for the REGARDS self-report model (1.05; 95% CI, 1.00-1.09) and indicated risk overestimation for Framingham stroke (0.86; 95% CI, 0.82-0.89) and pooled cohort equations (0.74; 95% CI, 0.71-0.77). Performance did not significantly improve when novel machine learning algorithms were applied.Conclusions and relevanceIn this analysis of Black and White individuals without stroke or transient ischemic attack among 4 US cohorts, existing stroke-specific risk prediction models and novel machine learning techniques did not significantly improve discriminative accuracy for new-onset stroke compared with the pooled cohort equations, and the REGARDS self-report model had the best calibration. All algorithms exhibited worse discrimination in Black individuals than in White individuals, indicating the need to expand the pool of risk factors and improve modeling techniques to address observed racial disparities and improve model performance.
| S-EPMC10408266 | biostudies-literature
Project description:Chronic stress stemming from social inequity has long been recognized as a risk factor for poor physical and psychological health, yet challenges remain in uncovering the mechanisms through which such exposures affect health outcomes and lead to racial and gender health disparities. Examination of sociocultural influences on group identity, coping, and the expression of stress may yield relevant insight into potential pathways of inequity's effect on risk for chronic disease. The objective of this study was to examine the relationship between chronic stress as measured by allostatic load (AL) and depression by gendered race group. Using National Health and Nutrition Examination Survey 2005-2010 data, we included Black and White U.S. adults aged 18-64 years (n = 6,431). AL was calculated using 9 biomarkers; scores ?4 indicated high risk. Depression was assessed using the Patient Health Questionnaire-9; scores ?10 indicated likely clinical depression. Logistic models estimated odds of depression as a function of AL for each gendered race group adjusting for age and family poverty-to-income ratio. Effect modification was assessed by analysis of variance and relative excess risk due to the interaction. We observed modification on the multiplicative scale. High AL was more strongly associated with depression among White women and Black men than among Black women or White men. In conclusion, a potential manifestation of high chronic stress burden, depression, differs across gendered race groups. These disparities may be due to group-specific coping strategies that are shaped by unequal social contexts. (PsycINFO Database Record
| S-EPMC5854524 | biostudies-literature
Project description:The race of an individual is a salient physical feature that is rapidly processed by the brain and can bias our perceptions of others. How the race of others explicitly impacts our actions toward them during intergroup contexts is not well understood. In the current study, we examined how task-irrelevant race information influences cognitive control in a go/no-go task in a community sample of Black (n = 54) and White (n = 51) participants. We examined the neural correlates of behavioral effects using functional magnetic resonance imaging and explored the influence of implicit racial attitudes on brain-behavior associations. Both Black and White participants showed more cognitive control failures, as indexed by dprime, to Black versus White faces, despite the irrelevance of race to the task demands. This behavioral pattern was paralleled by greater activity to Black faces in the fusiform face area, implicated in processing face and in-group information, and lateral orbitofrontal cortex, associated with resolving stimulus-response conflict. Exploratory brain-behavior associations suggest different patterns in Black and White individuals. Black participants exhibited a negative association between fusiform activity and response time during impulsive errors to Black faces, whereas White participants showed a positive association between lateral OFC activity and cognitive control performance to Black faces when accounting for implicit racial associations. Together our findings propose that attention to race information is associated with diminished cognitive control that may be driven by different mechanisms for Black and White individuals.
| S-EPMC8208919 | biostudies-literature
Project description:BackgroundAberrant activation of the mammalian Target of Rapamycin (mTOR) pathway has been linked to obesity and endocrine therapy resistance, factors that may contribute to Black-White disparities in breast cancer outcomes. We evaluated associations of race and clinicopathological characteristics with mRNA expression of key mTOR pathway genes in breast tumors.MethodsSurgical tumor tissue blocks were collected from 367 newly diagnosed breast cancer patients (190 Black and 177 White). Gene expression of AKT1, EIF4EBP1, MTOR, RPS6KB2, and TSC1 were quantified by NanoString nCounter. Differential gene expression was assessed using linear regression on log2-transformed values. Gene expression and DNA methylation data from TCGA were used for validation and investigation of race-related differences.ResultsCompared to White women, Black women had relative under-expression of AKT1 (log2 fold-change = - 0.31, 95% CI - 0.44, - 0.18) and RPS6KB2 (log2 fold-change = - 0.11, 95% CI - 0.19, - 0.03). Higher vs. lower tumor grade was associated with relative over-expression of EIF4EBP1 and RPS6KB2, but with lower expression of TSC1. Compared to luminal tumors, triple-negative tumors had relative under-expression of TSC1 (log2 fold-change = - 0.42, 95% CI - 0.22, - 0.01). The results were similar in the TCGA breast cancer dataset. Post-hoc analyses identified differential CpG methylation within the AKT1 and RPS6KB2 locus between Black and White women.ConclusionsOver-expression of RPS6KB2 and EIF4EBP1 and under-expression of TSC1 might be indicators of more aggressive breast cancer phenotypes. Differential expression of AKT1 and RPS6KB2 by race warrants further investigation to elucidate their roles in racial disparities of treatment resistance and outcomes between Black and White women with breast cancer.
| S-EPMC9130392 | biostudies-literature