scholarly journals Race and space in the 1990s: Changes in the geographic scale of racial residential segregation, 1990–2000

2009 ◽  
Vol 38 (1) ◽  
pp. 55-70 ◽  
Author(s):  
Sean F. Reardon ◽  
Chad R. Farrell ◽  
Stephen A. Matthews ◽  
David O’Sullivan ◽  
Kendra Bischoff ◽  
...  
2008 ◽  
Vol 168 (11) ◽  
pp. 1247-1254 ◽  
Author(s):  
M. O. Hearst ◽  
J. M. Oakes ◽  
P. J. Johnson

2018 ◽  
Vol 38 (11/12) ◽  
pp. 973-981
Author(s):  
Danielle Xiaodan Morales

Purpose Quantitative research on the segregation of same-sex partners in the USA is new, and limited by challenges related to the accurate measurement of segregation and data errors. The purpose of this paper is to provide a novel approach to re-examine residential segregation between same-sex partners and different-sex partners in the USA. Design/methodology/approach Two versions of the dissimilarity index and corrected same-sex partners data from the 2010 decennial census were used. Effects of different geographic scales were examined. Findings Results reveal that the levels of segregation of both male and female same-sex partners were higher at metropolitan- vs state-levels; the levels of segregation was lower when measured using the unbiased as compared to the conventional version of the D-index; and male same-sex partnered households were more segregated from different-sex partnered households than were female same-sex partnered households. Research limitations/implications Future studies should be attuned to geographic scale effects and should not ignore the bias of the D-index. Originality/value This study provides a better test of the differences between the two versions of the D-index and contributes to the literature by examining the segregation of both male same-sex partners and female same-sex partners across different geographic scales.


1985 ◽  
Vol 16 (2) ◽  
pp. 181-193 ◽  
Author(s):  
Patricia A. Bell ◽  
A. Wade Smith

1966 ◽  
Vol 27 (1) ◽  
pp. 98
Author(s):  
Stephen H. K. Yeh ◽  
Karl E. Taeuber ◽  
Alma F. Taeuber

2018 ◽  
Vol 51 ◽  
pp. 208-216 ◽  
Author(s):  
Andrew D. Williams ◽  
Maeve Wallace ◽  
Carrie Nobles ◽  
Pauline Mendola

2018 ◽  
Vol 73 (1) ◽  
pp. 26-33 ◽  
Author(s):  
Stephanie L Mayne ◽  
Margaret T Hicken ◽  
Sharon Stein Merkin ◽  
Teresa E Seeman ◽  
Kiarri N Kershaw ◽  
...  

BackgroundRacial residential segregation has been linked to adverse health outcomes, but associations may operate through multiple pathways. Prior studies have not examined associations of neighbourhood-level racial segregation with an index of cardiometabolic risk (CMR) and whether associations differ by race/ethnicity.MethodsWe used data from the Multi-Ethnic Study of Atherosclerosis to estimate cross-sectional and longitudinal associations of baseline neighbourhood-level racial residential segregation with a composite measure of CMR. Participants included 5015 non-Hispanic black, non-Hispanic white and Hispanic participants aged 45–84 years old over 12 years of follow-up (2000–2012). We used linear mixed effects models to estimate race-stratified associations of own-group segregation with CMR at baseline and with the rate of annual change in CMR. Models were adjusted for sociodemographics, medication use and individual-level and neighbourhood-level socioeconomic status (SES).ResultsIn models adjusted for sociodemographics and medication use, high baseline segregation was associated with higher baseline CMR among blacks and Hispanics but lower baseline CMR among whites. Individual and neighbourhood-level SES fully explained observed associations between segregation and CMR for whites and Hispanics. However, associations of segregation with CMR among blacks remained (high vs low segregation: mean difference 0.17 SD units, 95% CI 0.02 to 0.32; medium vs low segregation: mean difference 0.18 SD units, 95% CI 0.03 to 0.33). Baseline segregation was not associated with change in CMR index scores over time.ConclusionAssociations of own-group racial residential segregation with CMR varied by race/ethnicity. After accounting for SES, living in a more segregated neighbourhood was associated with greater risk among black participants only.


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