Double Minority Status and Neighborhoods: Examining the Primacy of Race in Black Immigrants' Racial and Socioeconomic Segregation.
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ABSTRACT:
SUBMITTER: Tesfai R
PROVIDER: S-EPMC8713952 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundThe fast-growing population of older Chinese immigrants and their segregated residences highlight the importance of understanding the role of neighborhood context in cognitive health. The segregation-cognition association is equivocal based on a limited number of studies among Hispanic and Asian Americans. To close the knowledge gap, this study examined the associations of neighborhood segregation and socioeconomic status (NSES) with cognitive functioning among older Chinese immigrants.MethodsFour waves of cognitive performance tests were conducted in the Population Study of Chinese Elderly in Chicago (2011-2019) and linked to the 2010 to 2014 American Community Survey estimates of neighborhood contexts. NSES was a summary z-score of six census variables of education, income/wealth, and occupation. Neighborhood segregation was measured by the Index of Concentrations at the Extremes (ICE), which simultaneously assesses Chinese and English language use within a given census tract. There were 170 census tracts in the present sample of 2044 participants. Latent growth curve models with adjusted cluster robust standard errors were estimated.ResultsOn average, cognitive functioning declined over time (B = -0.07, p < 0.001). After adjusting for individual-level predictors, living in high-NSES neighborhoods was associated with slower cognitive decline (B = 0.003, p = 0.04). ICE was not associated with cognitive functioning, but boosted the protective effect of high NSES on cognitive decline (B = 0.006, p = 0.05).ConclusionsNeighborhood socioeconomic advantage was related to slower cognitive decline among older Chinese immigrants, especially among those living in neighborhoods with more English speakers or less segregation. This finding suggests complex associations between neighborhood context and cognitive health among Chinese immigrants.
| S-EPMC10023380 | biostudies-literature
Project description:This study examines the associations between school racial/ethnic and socioeconomic composition and school engagement levels among Mexican-origin Latinos/as, African Americans, and non-Latino/a whites. Prior research suggests that whiter and more affluent schools should promote engagement, but some studies reveal paradoxes of school segregation whereby minority and socioeconomically disadvantaged students exhibit worse outcomes in schools with white and socioeconomically advantaged peers. Using data from the Education Longitudinal Study of 2002, this study examines the associations between the percent of non-minority students in the school, average school socioeconomic status, and three engagement outcomes: Liking school, involvement in school-sponsored activities, and coursework engagement. The findings reveal an affective-behavioral trade-off for students in schools with higher proportions of white students. Students who attend whiter schools are less likely to report that they like school, but they are more engaged in coursework. This affective-behavioral paradox is not unique to any particular racial/ethnic group.
| S-EPMC5820779 | biostudies-literature
Project description:In the United States, Black youth tend to grow up in remarkably less resourced neighborhoods than White youth. This study investigates whether and to what extent Black youth are moreover exposed to less resourced activity spaces beyond the home. We draw on GPS data from a large sample of urban youth in the Columbus, Ohio-based Adolescent Health and Development in Context study (2014-2016) to examine to what extent Black youth experience nontrivial, disproportionate levels of exposure to more disadvantaged and segregated contexts in their daily routines compared with similarly residentially situated White youth. Specifically, we estimate Black-White differences in nonhome exposure to concentrated disadvantage, racial segregation, collective efficacy, and violent crime. We find that Black youths' activity spaces have substantially higher rates of racial segregation and violent crime than those of White youth, and substantially lower levels of collective efficacy-even after accounting for a host of individual- and home neighborhood-level characteristics. We find more modest evidence of differences in exposure to socioeconomic disadvantage. These findings have important implications for neighborhood-centered interventions focused on youth well-being and the contextual effects and segregation literatures more generally.
| S-EPMC9757129 | biostudies-literature
Project description:IntroductionThis study's objective was to examine the association of the percentage of county population residing in concentrated disadvantage and Black-concentrated census tracts with county-level confirmed COVID-19 deaths in the USA, concentrated disadvantage and Black concentration at census tract-level measure socioeconomic segregation and racial segregation, respectively.MethodsWe performed secondary data analysis using tract (N = 73,056) and county (N = 3142) level data from the US Census Bureau and other sources for the USA. Confirmed COVID-19 deaths per 100,000 population was our outcome measure. We performed mixed-effect negative binomial regression to examine the association of county population's percentage residing in concentrated disadvantage and Black-concentrated tracts with COVID-19 deaths while controlling for several other characteristics.ResultsFor every 10% increase in the percentage of county population residing in concentrated disadvantage and Black-concentrated tracts, the rate for confirmed COVID-19 deaths per 100,000 population increases by a factor of 1.14 (mortality rate ratio [MMR] = 1.14; 95% confidence interval [CI]:1.11, 1.18) and 1.11 (MMR = 1.11; 95% CI:1.08, 1.14), respectively. These relations stayed significant in all models in further sensitivity analyses. Moreover, a joint increase in the percentage of county population residing in racial and socioeconomic segregation was associated with a much greater increase in COVID-19 deaths.ConclusionsIt appears that people living in socioeconomically and racially segregated neighborhoods may be disproportionately impacted by COVID-19 deaths. Future multilevel and longitudinal studies with data at both individual and aggregated tract level can help isolate the potential impacts of the individual-level characteristics and neighborhood-level socioeconomic and racial segregation with more precision and confidence.
| S-EPMC7815201 | biostudies-literature
Project description:One in 10 people die awaiting transplantation from donor shortage. Only half of Americans register as organ donors. In this cross-sectional study, we evaluated population-level associations of neighborhood socioeconomic deprivation and racial segregation on organ donor registration rates. We analyzed state identification card demographic and organ donor registration data from 5 states to estimate the association between a neighborhood socioeconomic deprivation index (range [0, 1]; higher values indicate more deprivation) and a racial index of concentration at the extreme (ICE) (range [-1, 1]; lower values indicate predominantly black neighborhoods, higher values indicate predominantly white neighborhoods) on organ donor registration rates within a specified geography (census tract or ZIP code tabulation area [ZCTA]). Among 26 720 738 registrants, 32% of the sample were registered organ donors. At the census tract level, with each 0.1 decrease in the deprivation index, the organ donor registration rate increased by 6.8% (95% confidence interval [CI]: 6.6%, 7.0%). With each 0.1 increase in the racial ICE, the rate increased by 1.5% (95% CI: 1.5%, 1.6%). These associations held true at the ZCTA level. Areas with less socioeconomic deprivation and a higher concentration of white residents have higher organ donor registration rates. Public health initiatives should consider neighborhood context and novel data sources in designing optimal intervention strategies.
| S-EPMC8191504 | biostudies-literature
Project description:BackgroundMany studies have identified an inequitable distribution of exposure to PM2.5 (particulate matter less than 2.5 microns) by race. We investigated the association of PM2.5 and cardiovascular mortality considering both the decedents' race and neighborhood racial composition as potential modifiers.MethodsWe obtained geocoded cardiovascular mortality records of all black and white decedents from urban block-groups in Massachusetts between 2001 and 2011 (n = 130,863). We examined the association between PM2.5 and cardiovascular mortality, and assessed effect modification by three types of racial modifiers: decedents' race, census block-group percent black and white, and two novel measures of racial segregation. The Racial Residential Segregation (RRS) quantifies the concentration of non-Hispanic blacks and whites in each block-group. The Index of Racial Dissimilarity measures dissimilarity in non-Hispanic black and white racial distribution between the smaller census block-group and larger tract.ResultsWe found a 2.35%(95%CI: 0.92%;3.79%) increase in mortality for each 10μg/m3 increase in two-day average exposure to PM2.5. The effect was modified by the block-group racial composition, with higher risks in block-groups with the highest percentage of black residents (interaction p-value = 0.04), and in block-groups with the lowest RRS (i.e. higher black to white resident ratio, interaction p-value = 0.072). Racial dissimilarity did not modify the associations.ConclusionCurrent levels of PM2.5 are associated with increased cardiovascular deaths in Massachusetts, with different risks between areas with different racial composition and segregation. This suggests that pollution reductions in neighborhoods with the highest percentage of non-Hispanic blacks would be most beneficial in reducing cardiovascular mortality and disparities.
| S-EPMC7384646 | biostudies-literature
Project description:Race disparities in cardiovascular disease (CVD) related morbidity and mortality are evident among men. While previous studies show health in young adulthood and racial residential segregation (RRS) are important factors for CVD risk, these factors have not been widely studied in male populations. We sought to examine race differences in ideal cardiovascular health (CVH) among young men (ages 24-34) and whether RRS influenced this association. We used cross-sectional data from young men who participated in Wave IV (2008) of the National Longitudinal Survey of Adolescent to Adult Health (N = 5080). The dichotomous outcome, achieving ideal CVH, was defined as having ≥4 of the American Heart Association's Life's Simple 7 targets. Race (Black/White) and RRS (proportion of White residents in census tract) were the independent variables. Descriptive and multivariate analyses were conducted. Young Black men had lower odds of achieving ideal CVH (OR = 0.67, 95% CI = 0.49, 0.92) than young White men. However, RRS did not have a significant effect on race differences in ideal CVH until the proportion of White residents was ≥55%. Among young Black and White men, RRS is an important factor to consider when seeking to understand CVH and reduce future cardiovascular risk.
| S-EPMC8345482 | biostudies-literature
Project description:This research examines how school choice impacts school segregation. Specifically, this work demonstrates that even if parents do not take the racial demographics of schools into account, preference differences between Black and White parents for other school attributes can still result in segregation. These preference differences stem from motivational differences in pursuit of social status. Given that the de facto US racial hierarchy assigns Black people to a lower social status, Black parents are more motivated to seek schools that signal that they can improve their children's status. Simulations of parental school decisions at scale show that preference differences under an unmitigated school-choice policy lead to more segregated schools, impacting more than half a million US children for every 3-percentage-point increase in school-choice availability. In contrast, if Black and White parents have similar preferences, unmitigated school choice would reduce racial segregation. This research may inform public policy concerning school choice and school segregation.
| S-EPMC9436322 | biostudies-literature
Project description:ObjectiveSexual and gender minority (SGM) adolescents report elevated risk for psychopathology. Identifying as a racial/ethnic minority and sexual minority (SM) or gender minority (GM) may lead to greater stress/discrimination and psychopathology. We examined nonsuicidal self-injury, suicide ideation, and suicide attempts (i.e., self-injurious thoughts and behaviors [SITBs]) and depressive symptoms across intersections of sexual orientation, gender, and race/ethnicity.MethodStudy participants consisted of a large (n = 2,948; 59% GM) sample of adolescents aged 14-18 who were recruited online to complete a cross-sectional survey. SGM status, race/ethnicity, and their interactions were used to predict depressive symptoms and SITBs. Associations among race/ethnicity and GM-specific psychosocial factors were assessed.ResultsSM (B = 3.75) and GM (B = 8.81) participants reported higher depressive symptoms and SITB histories (odds ratios [ORs] from 1.92 to 2.43 and 2.87 to 5.44, respectively). Asian participants were less likely to report nonsuicidal self-injury (OR = 0.45), and Latinx participants were more likely to report suicide attempts (OR = 1.50). Although omnibus tests of interactions were largely insignificant, exploratory analyses revealed fewer depressive symptoms (B = -8.40) and SITBs (ORs from -0.95 to -2.05) among Black SM participants and, at times, Black GM participants. This protective effect may relate to lower self-reported expectations of rejection due to gender.ConclusionsGM participants reported the highest risk for depressive symptoms and SITBs. Contrary to hypotheses, multiple minority identification was not associated with greater psychopathology. Future research, assessing specific sexual and gender identities across diverse samples, is needed to highlight how race affects psychopathology risk across these identities. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
| S-EPMC7148198 | biostudies-literature
Project description:A growing body of sociological research has shown that racial identification is not only fluid, but crucially depends on other individual- and societal-level factors. When such factors are also associated with socioeconomic outcomes such as earnings, estimates of the disadvantage experienced by individuals because of how they identify racially obtained from standard regression models may be biased. We illustrate this potential bias using data from a large-scale survey conducted by the Mexican census bureau. This survey is the first by the government agency since the country's independence to include a question on black identification. We find evidence of a substantial bias in estimates of racial disadvantage. Results from our initial models treating racial self-identification as an exogenous predictor indicate that black men have higher earnings than non-black men. However, when we use an instrumental variables model that treats racial self-identification as endogenous, that is, as a function of the same unobserved characteristics as individuals' earnings, we find a significant negative effect of black identification on earnings. While previous studies have acknowledged the endogeneity of race, ours is the first to explicitly model racial self-identification as an endogenous predictor to obtain an unbiased estimate of its effect on individuals' socioeconomic conditions.
| S-EPMC7351103 | biostudies-literature