scholarly journals Local Residential Segregation Matters: Stronger Association of Census Tract Compared to Conventional City-Level Measures with Fatal and Non-Fatal Assaults (Total and Firearm Related), Using the Index of Concentration at the Extremes (ICE) for Racial, Economic, and Racialized Economic Segregation, Massachusetts (US), 1995–2010

2017 ◽  
Vol 94 (2) ◽  
pp. 244-258 ◽  
Author(s):  
Nancy Krieger ◽  
Justin M. Feldman ◽  
Pamela D. Waterman ◽  
Jarvis T. Chen ◽  
Brent A. Coull ◽  
...  
Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Mary D Schiff ◽  
Anthony Fabio ◽  
Tiffany Gary-Webb ◽  
Dara Mendez

Introduction: Higher levels of residential segregation have been associated with poorer cardiometabolic health profiles among women. Still, it remains unclear whether segregation may differentially impact the development of gestational hypertension (gHTN) among an ethnically-diverse cohort of pregnant women. We used birth record data from 2003-2009 and data from the 2000 US Census to determine whether racial and economic segregation are associated with gHTN among a diverse cohort of child-bearing women in the greater Philadelphia area. Methods: We quantified racial and economic segregation using sociodemographic data from the US Census and the local Getis-Ord (Gi*) spatial statistic. The Gi* produces a spatially-weighted z-score for each census tract reflecting the degree of clustering of racially-similar neighborhoods in an area relative to the surrounding Philadelphia region. We categorized each type of segregation as low (Gi*<0), moderate (Gi*0-1.96), or high (Gi*>1.96), and assigned these to each woman by her census tract of residence. Gestational hypertension was defined in the birth record data as the development of pregnancy-induced hypertension or preeclampsia. We used hierarchical generalized linear mixed effect models to obtain risk ratios and differences (per 1000 women) for the relationships between each form of residential segregation and gHTN. All models were stratified by maternal race/ethnicity, and sequentially adjusted for maternal sociodemographics, health behaviors, medical histories, and neighborhood-level characteristics. Results: Our sample consisted of 220,897 Non-Hispanic (NH) Black (26%), NH White (64%), and Hispanic (10%) women, of whom 4% developed gHTN. However, a much greater proportion of NH Black women both developed gHTN and lived in high segregation neighborhoods compared to NH Whites and Hispanics. After adjustment, NH Black women in moderate and high economic segregation areas had 16% higher risk (RR=1.16, 95% CI: 1.03-1.31) and 23% higher risk (RR=1.23, 95% CI: 1.08-1.39) of gHTN, respectively, compared to NH Black women living in low segregation areas. NH Black women in highly racially segregated neighborhoods saw an additional 9 cases of gHTN (per 1000 women) compared to NH Black women living in more racially integrated neighborhoods (RD=8.47, 95% CI: 3.14-13.80). Among NH White and Hispanic women, economic segregation was not associated with gHTN, and only marginally significant findings were observed for racial segregation. Conclusions: In our diverse sample of child-bearing women from the greater Philadelphia area, higher levels of racial and economic segregation were associated with greater risk of gHTN among NH Black women. Future work should seek to delineate the specific pathways by which neighborhoods differentially impact individual level cardiovascular health based upon race.


2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Nancy Krieger ◽  
Justin M Feldman ◽  
Rockli Kim ◽  
Pamela D Waterman

Abstract Background The handful of studies (<30) on cancer and residential segregation have focused on racial segregation, primarily at the city/town level. We tested a priori hypotheses about choice of measure and level by extending use of the Index of Concentration at the Extremes (ICE) to quantify both economic and racial residential segregation, singly and combined, and conducted analyses for the total population and stratified by race/ethnicity. Methods Outcomes comprised Massachusetts incidence rates (2010–2014) for invasive breast, cervical, and lung cancer, analyzed in relation to census tract and city/town ICE measures for income, race/ethnicity, race/ethnicity + income, and the federal poverty line. Multilevel Poisson regression modeled observed counts of incident cases. Results Both choice of metric and level mattered. As illustrated by cervical cancer, in models including both the census tract and city/town levels, the rate ratio for the worst to best quintile for the total population was greatest at the census tract level for the ICE for racialized economic segregation (3.0, 95% confidence interval [CI] = 2.1 to 4.3) and least for the poverty measure (1.9, 95% CI = 1.4 to 2.6), with null associations at the city/town level. In analogous models with both levels for lung cancer, however, for the non-Hispanic black and Hispanic populations, the rate ratios for, respectively, the ICE and poverty measures, were larger (and excluded 1) at the city/town compared with the census tract level. Conclusions Our study suggests that the ICE for racialized economic segregation, at multiple levels, can be used to improve monitoring and analysis of cancer inequities.


2017 ◽  
Vol 45 (3) ◽  
pp. 235-270 ◽  
Author(s):  
Ela Ataç

Research into social and spatial segregation in urban areas has a very long tradition in the Anglo-Saxon geography. Even after the 2000s only a few researchers have turned to the non-Western countries to understand and explain segregation in different geographies. As a country in-between the East and the West, in Turkey, where segregation reveals itself in many forms there are very few studies dealing directly with the question of segregation. The article thus deems it crucial to shed light on a rarely-known geography in terms of residential and socio-economic segregation practices focusing on a larger Anatolian geography. Key findings show that as far as residential segregation is concerned among socio-economic status groups, Turkish cities have a characteristic pattern where the highest and the lowest status groups never share a common border in urban areas. But, it is also seen that socio-economic groups behind this common pattern exhibit completely different characteristics.


2006 ◽  
Vol 5 (4) ◽  
pp. 387-407 ◽  
Author(s):  
Thurston Domina

The post‐industrialization of the American economy, combined with the expansion of American higher education, has created a new form of residential segregation. This paper examines recent trends in residential segregation between college graduates and high school graduates, demonstrating that America's educational geography became increasingly uneven between 1940 and 2000. During this period, educational inequality between American census divisions, metropolitan areas, counties, and census tracts increased dramatically. This trend is independent of recent developments in racial and economic segregation. Segregation between the highly educated and the less educated increased dramatically in the late 20th century, even as racial segregation declined, and economic segregation changed very little.


2021 ◽  
pp. 1-25
Author(s):  
Mariana Souza Lopes ◽  
Waleska Teixeira Caiaffa ◽  
Amanda Cristina de Souza Andrade ◽  
Ariene Silva do Carmo ◽  
Sharrelle Barber ◽  
...  

Abstract Objective: To examine the association between economic residential segregation and food environment. Design: Ecological. Food stores categorized according to the NOVA classification were geocoded, and absolute availability was calculated for each neighborhood. Segregation was measured using local Gi* statistic, a measure of the standard deviation (SD) between the economic composition of a neighborhood (the proportion of heads of households in neighborhoods earn monthly income of 0 to 3 minimum wages) and larger metropolitan area, weighted by the economic composition of surrounding neighborhoods. Segregation was categorized as high [most segregated], medium [integrated], and low [less segregated or integrated]. A proportional odds models were used to model the association between segregation and food environment. Setting: Belo Horizonte, Brazil. Participants: Food stores. Results: After adjustment for covariates, neighborhoods characterized by high economic segregation had fewer food stores overall compared to neighborhoods characterized by low segregation [OR=0.56;CI95%=0.45-0.69]. In addition, high segregated neighborhoods were 49% (OR=0.51;95%CI=0.42–0.61) and 45% (OR=0.55;95% CI=0.45–0.67) less likely to have a high number of food stores that predominantly marketed ultra-processed foods and mixed food stores, respectively, as compared to their counterparts. Conclusions: Economic segregation is associated with differences in the distribution of food stores. Both low and high segregation territories should be prioritized by public policies to ensure healthy and adequate nutrition as a right for all communities. The former must continue to be protected from access to unhealthy commercial food outlets while the latter must be the locus of actions that limit the availability of unhealthy commercial food store.


2012 ◽  
Vol 27 (1) ◽  
pp. 57
Author(s):  
Landy Sánchez Peña

En este artículo se examina el nivel y cambio en la segregación socioeconómica en la Ciudad de México en dos dimensiones: ingreso del hogar (1990-2000) y educación del jefe del hogar (1990-2005). Aprovechando las propiedades del índice de Theil (H), se analiza: a) si simultáneamente aumentó la segregación entre los hogares de los estratos socioeconómicos medio, bajo y alto; b) cuáles estratos experimentaron los mayores cambios en sus patrones de segregación, y c) cómo éstos contribuyeron a la tendencia global. Los resultados evidencian la mayor segregación de los estratos altos por ingresos y educativos, aunque las tendencias multigrupo difieren por la dimensión analizada. AbstractThis article examines the scope and type of changes in socio-economic segregation in Mexico in two dimensions: household income (1990-2000) and head of household’s educational attainment (1990-2005). Using the properties of the Theil’s H Index, the author analyzes a) whether segregation between households in medium, low and high socio-economic strata increased simultaneously; b) which strata experienced the greatest changes in its segregation patterns and c) how they contributed to the global trend. The results reveal a greater degree of segregation between the high strata by income and educational attainment, although multigroup trends differ as a result of the dimension analyzed.


2008 ◽  
Vol 73 (5) ◽  
pp. 766-791 ◽  
Author(s):  
Barrett A. Lee ◽  
Sean F. Reardon ◽  
Glenn Firebaugh ◽  
Chad R. Farrell ◽  
Stephen A. Matthews ◽  
...  

The census tract—based residential segregation literature rests on problematic assumptions about geographic scale and proximity. We pursue a new tract-free approach that combines explicitly spatial concepts and methods to examine racial segregation across egocentric local environments of varying size. Using 2000 Census data for the 100 largest U.S. metropolitan areas, we compute a spatially modified version of the information theory index H to describe patterns of Black—White, Hispanic-White, Asian-White, and multigroup segregation at different scales. We identify the metropolitan structural characteristics that best distinguish micro-segregation from macro-segregation for each group combination, and we decompose their effects into portions due to racial variation occurring over short and long distances. A comparison of our results with those from tract-based analyses confirms the value of the new approach.


2018 ◽  
Vol 31 (11) ◽  
pp. 1221-1227 ◽  
Author(s):  
Stephanie L Mayne ◽  
Disha Yellayi ◽  
Lindsay R Pool ◽  
William A Grobman ◽  
Kiarri N Kershaw

Abstract BACKGROUND Racial residential segregation is associated with higher rates of chronic hypertension, as well as greater risk of preterm birth and low birthweight. However, few studies have examined associations between segregation and hypertensive disorder of pregnancy (HDP). METHODS Electronic health records from 4,748 singleton births among non-Hispanic black women at Prentice Women’s Hospital in Chicago, IL (2009–2013) were geocoded to the census tract level. Residential segregation was measured using the Gi* statistic, a z-score measuring the extent to which each individual’s neighborhood composition deviates from the composition of the larger surrounding area. Segregation was categorized as low (z &lt; 0), medium (z = 0–1.96) or high (z &gt; 1.96). We estimated cross-sectional associations of segregation with HDP using multilevel logistic regression models with census tract random intercepts. Models adjusted for neighborhood poverty and maternal characteristics. We also examined effect modification by neighborhood poverty. RESULTS Overall, 27.2% of women lived in high segregation, high-poverty neighborhoods. Racial residential segregation was not associated as a main effect with HDP in models adjusting for neighborhood poverty and maternal characteristics. However, at higher levels of neighborhood poverty (&gt;20%), women living in high- and medium-segregated neighborhoods had greater odds of HDP relative to those in low-segregation neighborhoods (P interaction: 0.002). CONCLUSIONS In this sample of non-Hispanic black women in Chicago, racial residential segregation was associated with greater prevalence of HDP among those living in higher poverty neighborhoods. Understanding sources of heterogeneity in the relationship between segregation and health will help refine targeted intervention efforts to reduce disparities.


2010 ◽  
Vol 9 (1) ◽  
pp. 29 ◽  
Author(s):  
Michael R Kramer ◽  
Hannah L Cooper ◽  
Carolyn D Drews-Botsch ◽  
Lance A Waller ◽  
Carol R Hogue

Author(s):  
Florencia Molinatti

AbstractSocio-economic residential segregation is a common feature of almost all Argentinean cities, neatly divided into poor, middle-class, and affluent neighborhoods. At the end of the 1980s, and especially over the 1990s, the process of suburbanization for affluent and upper middle-class groups was consolidated as a generalized model. This study concentrates on the trends and the patterns of socio-economic segregation in Buenos Aires and focuses on two major dimensions of segregation: the spatial concentration patterns of a given social group in specific areas and the degree of social homogeneity within such areas. Socio-economic segregation is described using the highest level of education that a householder has completed as a proxy for socio-economic status. The indices of segregation and dissimilarity are used as the main measure to compare the level and changes of residential segregation but other metrics—such as location quotient index—are also used to estimate the degree of homogeneity or heterogeneity in neighboring areas. This study uses population and household census data from 1991, 2001, and 2010 provided by the National Institute of Statistics and Censuses (INDEC), and the data are presented at the spatial disaggregation level of block groups called ‘radios censales’.


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