2009
DOI: 10.1016/j.ssresearch.2009.03.005
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Economic deprivation and racial segregation: Comparing Superfund sites in Portland, Oregon and Detroit, Michigan

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Cited by 26 publications
(35 citation statements)
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“…20,21,29,[35][36][37][38][39][40][41][42][43][44][45] The joint ICE for income and race/ethnicity is likewise key for capturing the joint impact of economic and racial/ethnic inequality and segregation, 44,45 as opposed to the conventional approach of focusing on only one or the other. 16,17,[47][48][49][50]73,74 Second, the observed associations between the ICE and health outcomes invite further research on the causal pathways linking extreme concentrations of privilege and deprivation to both on-average health and the magnitude of health inequities. Extant research on the societal determination of health would suggest that likely pathways would include the impact of spatial social polarization on local education, economies, and environments, as well as spatial and economic access to health services.…”
Section: Discussionmentioning
confidence: 99%
“…20,21,29,[35][36][37][38][39][40][41][42][43][44][45] The joint ICE for income and race/ethnicity is likewise key for capturing the joint impact of economic and racial/ethnic inequality and segregation, 44,45 as opposed to the conventional approach of focusing on only one or the other. 16,17,[47][48][49][50]73,74 Second, the observed associations between the ICE and health outcomes invite further research on the causal pathways linking extreme concentrations of privilege and deprivation to both on-average health and the magnitude of health inequities. Extant research on the societal determination of health would suggest that likely pathways would include the impact of spatial social polarization on local education, economies, and environments, as well as spatial and economic access to health services.…”
Section: Discussionmentioning
confidence: 99%
“…These patterns of spatial social polarization are, as indicated by prior research, likely to shape risk of exposure to traffic-related air pollution, both because of siting of densely-trafficked streets and because neighborhoods with fewer economic and social resources are likely to have smaller (or no) sidewalks and residences with smaller (or no) front yards or lawns (Brulle and Pellow, 2006; Hajat et al, 2013; Lopez, 2002; Morello-Frosch and Lopez, 2006; Nweke et al., 2011; Pulido, 2000). A particular advantage of the novel ICEs we created that combine income and racial/ethnic data, moreover, is that in contrast to analytic approaches that treat these two variables separately (and, in some cases, attempt to model interaction effects) (Smith, 2009), the new ICEs we have deployed enable capturing, in a way that is socially meaningful and statistically tractable, the joint realities of spatial concentrations of economic and racial/ethnic privilege and lack of such privilege.…”
Section: Discussionmentioning
confidence: 99%
“…The larger implication is that research on health equity, including in environmental health, must reckon with the intertwining of economic and racial/ethnic polarization at multiple scales and political levels of geography (Polednak, 1997; Morello-Frosch, 2002; Krieger, 2012; Kruize et al 2014). Such data are likely to be useful to the policy makers, scientists, and community advocates seeking to redress social inequalities in exposure to environmental pollution (Brulle and Pellow, 2006; Downey et al, 2008; Goodman et al, 2011; Hajat et al 2013; James et al, 2012; Kruize et al, 2014; Morello-Frosch and Lopez, 2006; Morello-Frosch, 2002; Nweke et al, 2011; Pulido, 2000; Smith, 2009). …”
Section: Discussionmentioning
confidence: 99%
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“…Individual factors include such issues as income and wealth (resources, purchasing power, and safety),28-30 access to health care (insurance coverage, preventive health, access to general healthcare),31 education level, diet, exercise, poor prenatal care, obesity, and increased diagnoses of risk factors for CKD such as cardiovascular disease, diabetes, and hypertension 1-4,32,33. Neighborhood or environmental factors include access to physical activity facilities, neighborhood safety, availability of healthy food, environmental exposures to heavy metals or other toxins such as pollutants, residential or neighborhood racial segregation29,30 and attendant poor educational opportunities, lifetime exposure to poverty (working class),22,34 urban versus rural living conditions,35,36 transplant, and mortality 37. Finally, genetic or biologic predisposition, such as the presence of the myosin MYH9 gene mutation in nondiabetic patients with focal segmental glomerulosclerosis, may be associated with accelerated CKD progression in the setting of poverty 38,39…”
mentioning
confidence: 99%