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Does Hypersegregation Matter for Black-White Socioeconomic Disparities?

ABSTRACT: Massey and Denton's concept of hypersegregation describes how multiple and distinct forms of black-white segregation lead to high levels of black-white stratification. However, numerous studies assessing the association between segregation and racial stratification applied only one or two dimensions of segregation, neglecting how multiple forms of segregation combine to potentially exacerbate socioeconomic disparities between blacks and whites. We address this by using data from the U.S. Census from 1980 to 2010 and data from the American Community Survey from 2012 to 2016 to assess trajectories for black-white disparities in educational attainment, employment, and neighborhood poverty between metropolitan areas with hypersegregation and black-white segregation, as measured by the dissimilarity index. Using a time-varying measure of segregation types, our results indicate that in some cases, hypersegregated metropolitan areas have been associated with larger black-white socioeconomic disparities beyond those found in metropolitan areas that are highly segregated in terms of dissimilarity but are not hypersegregated. However, the contrasts in black-white socioeconomic inequality between hypersegregated metropolitan areas and those with high segregation largely diminish by the 2012 to 2016 observation.

SUBMITTER: Hess C

PROVIDER: S-EPMC7394604 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Does Hypersegregation Matter for Black-White Socioeconomic Disparities?

Hess Chris C Gabriel Ryan R Leibbrand Christine C Crowder Kyle K

Demography 20191201 6

Massey and Denton's concept of hypersegregation describes how multiple and distinct forms of black-white segregation lead to high levels of black-white stratification. However, numerous studies assessing the association between segregation and racial stratification applied only one or two dimensions of segregation, neglecting how multiple forms of segregation combine to potentially exacerbate socioeconomic disparities between blacks and whites. We address this by using data from the U.S. Census ...[more]

PMID: 31713124

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Project description:BACKGROUND:A growing body of evidence links socioeconomic status (SES) to children's brain structure. Few studies, however, have specifically investigated relations of SES to white matter structure. Further, although several studies have demonstrated that family SES is related to development of brain areas that support executive functions (EF), less is known about the role that white matter structure plays in the relation of SES to EF. One possibility is that white matter differences may partially explain SES disparities in EF (i.e., a mediating relationship). Alternatively, SES may differentially shape brain-behavior relations such that the relation of white matter structure to EF may differ as a function of SES (i.e., a moderating relationship). METHOD:In a diverse sample of 1082 children and adolescents aged 3-21 years, we examined socioeconomic disparities in white matter macrostructure and microstructure. We further investigated relations between family SES, children's white matter volume and integrity in tracts supporting EF, and performance on EF tasks. RESULTS:Socioeconomic status was associated with fractional anisotropy (FA) and volume in multiple white matter tracts. Additionally, family income moderated the relation between white matter structure and cognitive flexibility. Specifically, across multiple tracts of interest, lower FA or lower volume was associated with reduced cognitive flexibility among children from lower income families. In contrast, children from higher income families showed preserved cognitive flexibility in the face of low white matter FA or volume. SES factors did not mediate or moderate links between white matter and either working memory or inhibitory control. CONCLUSIONS:This work adds to a growing body of literature suggesting that the socioeconomic contexts in which children develop not only shape cognitive functioning and its underlying neurobiology, but may also shape the relations between brain and behavior.

Project description:BackgroundMaternal mortality is higher among Black than White people in the United States. Whether Black-White disparities in maternal in-hospital mortality during the delivery hospitalization vary across hospital types (Black-serving vs nonBlack-serving and teaching vs nonteaching) and whether overall maternal mortality differs across hospital types is not known.ObjectiveThe aims of this study were to determine whether risk-adjusted Black-White disparities in maternal mortality during the delivery hospitalization vary by hospital types (this is analysis of disparities in mortality within hospital types) and compare risk-adjusted in-hospital maternal mortality among Black-serving and nonBlack-serving teaching and nonteaching hospitals regardless of race (this is an analysis of overall mortality across hospital types).Study designWe performed a population-based, retrospective cohort study of 5,679,044 deliveries among Black (14.2%) and White patients (85.8%) in 3 states (California, Missouri, and Pennsylvania) from 1995 to 2009. A hospital discharge disposition of "death" defined maternal in-hospital mortality. Black-serving hospitals had at least 7% Black obstetrical patients (top quartile). We performed risk adjustment by calculating expected death rates using predictions from logistic regression models incorporating sociodemographics, rurality, comorbidities, multiple gestations, gestational age at delivery, year, state, and mode of delivery. We calculated risk-adjusted risk ratios of mortality by comparing observed-to-expected ratios among Black and White patients within hospital types and then examined mortality across hospital types, regardless of patient race. We quantified the proportion of Black-White disparities in mortality attributable to delivering in Black-serving hospitals using causal mediation analysis.ResultsThere were 330 maternal deaths among 5,679,044 patients (5.8 per 100,000). Black patients died more often (11.5 per 100,000) than White patients (4.8 per 100,000) (relative risk, 2.38; 95% confidence interval, 1.89-2.98). Examination of Black-White disparities revealed that after risk adjustment, Black patients had significantly greater risk of death (adjusted relative risk, 1.44; 95% confidence interval, 1.17-1.79) and that the disparity was similar within each of the hospital types. Comparison of mortality, regardless of race, across hospital types revealed that among teaching hospitals, mortality was similar in Black-serving and nonBlack-serving hospitals. However, among nonteaching hospitals, mortality was significantly higher in Black-serving vs nonBlack-serving hospitals (adjusted relative risk, 1.47; 95% confidence interval, 1.15-1.87). Notably, 53% of Black patients delivered in nonteaching, Black-serving hospitals compared with just 19% of White patients. Among nonteaching hospitals, 47% of Black-White disparities in maternal in-hospital mortality were attributable to delivering at Black-serving hospitals.ConclusionMaternal in-hospital mortality during the delivery hospitalization among Black patients is more than double that of White patients. Our data suggest this disparity is caused by excess mortality among Black patients within each hospital type, in addition to excess mortality in nonteaching, Black-serving hospitals where most Black patients deliver. Addressing downstream effects of racism to achieve equity in maternal in-hospital mortality will require transparent reporting of quality metrics by race to reduce differential care and outcomes within hospital types, improvements in care delivery at Black-serving hospitals, overcoming barriers to accessing high-quality care among Black patients, and eventually desegregation of healthcare.

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Does Hypersegregation Matter for Black-White Socioeconomic Disparities?

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Does Hypersegregation Matter for Black-White Socioeconomic Disparities?

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