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At the intersection of place, race, and health in Brazil: Residential segregation and cardio-metabolic risk factors in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)

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  • Barber, Sharrelle
  • Diez Roux, Ana V.
  • Cardoso, Letícia
  • Santos, Simone
  • Toste, Veronica
  • James, Sherman
  • Barreto, Sandhi
  • Schmidt, Maria
  • Giatti, Luana
  • Chor, Dora

Abstract

Residential segregation is the spatial manifestation of entrenched socioeconomic and racial inequities and is considered a fundamental cause of racial inequalities in health. Despite the well-documented racialized spatial inequalities that exist in urban areas throughout Brazil, few empirical investigations have examined the link between residential segregation and health and considered its implications for racial health inequalities in this setting. In the present study, we used data from the Brazilian Longitudinal Study of Adult Health (2008–2010) to examine the association between economic residential segregation and two major cardio-metabolic risk factors—hypertension and diabetes. We also examined whether associations were stronger for historically marginalized racial groups in Brazil. Residential segregation was calculated for study-defined neighborhoods using the Getis-Ord Local Gi* statistic and was based on household income data from the 2010 IBGE demographic census. Multivariable logistic regression models were used to examine associations. In our sample, Blacks and Browns were more likely to live in economically segregated neighborhoods. After taking into account income, education, and other demographic characteristics we found that individuals living in the most economically segregated neighborhoods were 26% more likely to have hypertension and 50% more likely to have diabetes than individuals living in more affluent areas. Although Blacks and Browns living in highly segregated neighborhoods had higher prevalence of hypertension and diabetes compared to Whites, we observed no statistically significant racial differences in the associations with residential segregation. Our findings suggest that residential segregation may be an important structural determinant of cardio-metabolic risk factors in Brazil. Moreover, the systematic and disproportionate exposure of Blacks and Browns to highly segregated neighborhoods may implicate these settings as potential drivers of racial inequalities in cardio-metabolic risk factors in urban settings in Brazil.

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  • Barber, Sharrelle & Diez Roux, Ana V. & Cardoso, Letícia & Santos, Simone & Toste, Veronica & James, Sherman & Barreto, Sandhi & Schmidt, Maria & Giatti, Luana & Chor, Dora, 2018. "At the intersection of place, race, and health in Brazil: Residential segregation and cardio-metabolic risk factors in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)," Social Science & Medicine, Elsevier, vol. 199(C), pages 67-76.
  • Handle: RePEc:eee:socmed:v:199:y:2018:i:c:p:67-76
    DOI: 10.1016/j.socscimed.2017.05.047
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    1. Edward Telles & Nelson Lim, 1998. "Does it matter who answers the race question? Racial classification and income inequality in Brazil," Demography, Springer;Population Association of America (PAA), vol. 35(4), pages 465-474, November.
    2. Oakes, J. Michael, 2004. "The (mis)estimation of neighborhood effects: causal inference for a practicable social epidemiology," Social Science & Medicine, Elsevier, vol. 58(10), pages 1929-1952, May.
    3. Leticia Marteleto, 2012. "Educational Inequality by Race in Brazil, 1982–2007: Structural Changes and Shifts in Racial Classification," Demography, Springer;Population Association of America (PAA), vol. 49(1), pages 337-358, February.
    4. Gaskin, D.J. & Thorpe, R.J., Jr. & McGinty, E.E. & Bower, K. & Rohde, C. & Young, J.H. & LaVeist, T.A. & Dubay, L., 2014. "Disparities in diabetes: The nexus of race, poverty, and place," American Journal of Public Health, American Public Health Association, vol. 104(11), pages 2147-2155.
    5. Bécares, L. & Shaw, R. & Nazroo, J. & Stafford, M. & Albor, C. & Atkin, K. & Kiernan, K. & Wilkinson, R. & Pickett, K., 2012. "Ethnic density effects on physical morbidity, mortality, and health behaviors: A systematic review of the literature," American Journal of Public Health, American Public Health Association, vol. 102(12), pages 33-66.
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