Context-dependence of race self-classification: Results from a highly mixed and unequal middle-income country

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art_CHOR_Contextdependence_of_race_selfclassification_Results_from_a_highly_2019.PDF (2.17 MB)
Citações na Scopus
25
Tipo de produção
article
Data de publicação
2019
DOI
Scopus
Web of Science
PubMed
Título da Revista
ISSN da Revista
Título do Volume
Editora
PUBLIC LIBRARY SCIENCE
Autores
CHOR, Dora
PACHECO, Antonio G.
SANTOS, Ricardo V.
FONSECA, Maria J. M.
SCHMIDT, Maria I.
DUNCAN, Bruce B.
BARRETO, Sandhi M.
AQUINO, Estela M. L.
MILL, Jose G.
Citação
PLOS ONE, v.14, n.5, article ID e0216653, 17p, 2019
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
Ethnic-racial classification criteria are widely recognized to vary according to historical, cultural and political contexts. In Brazil, the strong influence of individual socio-economic factors on race/colour self-classification is well known. With the expansion of genomic technologies, the use of genomic ancestry has been suggested as a substitute for classification procedures such as self-declaring race, as if they represented the same concept. We investigated the association between genomic ancestry, the racial composition of census tracts and individual socioeconomic factors and self-declared race/colour in a cohort of 15,105 Brazilians. Results show that the probability of self-declaring as black or brown increases according to the proportion of African ancestry and varies widely among cities. In Porto Alegre, where most of the population is white, with every 10% increase in the proportion of African ancestry, the odds of self-declaring as black increased 14 times (95% CI 6.08-32.81). In Salvador, where most of the population is black or brown, that increase was of 3.98 times (95% CI 2.96-5.35). The racial composition of the area of residence was also associated with the probability of self-declaring as black or brown. Every 10% increase in the proportion of black and brown inhabitants in the residential census tract increased the odds of self-declaring as black by 1.33 times (95% CI 1.24-1.42). Ancestry alone does not explain self-declared race/colour. An emphasis on multiple situational contexts (both individual and collective) provides a more comprehensive framework for the study of the predictors of self-declared race/colour, a highly relevant construct in many different scenarios, such as public policy, sociology and medicine.
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URI
https://observatorio.fm.usp.br/handle/OPI/32430
Referências
  1. Alexander DH, 2009, GENOME RES, V19, P1655, DOI 10.1101/gr.094052.109
  2. Aquino EML, 2012, AM J EPIDEMIOL, V175, P315, DOI 10.1093/aje/kwr294
  3. Barber S, 2018, SOC SCI MED, V199, P67, DOI 10.1016/j.socscimed.2017.05.047
  4. Bastos JL, 2009, CAD SAUDE PUBLICA, V25, P2111, DOI 10.1590/S0102-311X2009001000003
  5. Bittencourt M, 2010, ECON CHANG RESTRUCT, V43, P113, DOI 10.1007/s10644-009-9080-x
  6. Brazilian Institute of Geography and Statistics (IBGE), 2010, DEM CENS 2010
  7. Costa MF, 2015, SCI REP, V5
  8. da Silva TM, 2015, EUR J HUM GENET, V23, P984, DOI 10.1038/ejhg.2014.215
  9. de Mola CL, 2016, BMC PSYCHIATRY, V16, DOI 10.1186/s12888-016-1015-2
  10. Fry P, 2000, DAEDALUS, V129, P83
  11. Gomes MB, 2018, DIABETES RES CLIN PR, V140, P245, DOI 10.1016/j.diabres.2018.03.021
  12. Goodman Alan, 2012, RACE ARE WE SO DIFFE
  13. Guimaraes Antonio Sergio, 2012, P BR ACAD, P17
  14. Kent M, 2014, AM ANTHROPOL, V116, P736, DOI 10.1111/aman.12142
  15. Kershaw KN, 2015, CURR CARDIOVASC RISK, V9, DOI 10.1007/s12170-015-0436-7
  16. Krieger N, 2006, J URBAN HEALTH, V83, P355, DOI 10.1007/s11524-006-9040-y
  17. Lehmann D., 2016, CRISIS MULTICULTURAL, P179
  18. Leite TKM, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027162
  19. Loveman M., 2014, NATL COLORS RACIAL C, DOI [10.1093/acprof:oso/9780199337354.001.0001/acprof-9780199337354, DOI 10.1093/ACPROF:OSO/9780199337354.001.0001/ACPROF-9780199337354]
  20. Miranda V, 2015, DEMOGR RES, V32, P1603, DOI 10.4054/DemRes.2015.32.59
  21. Muniz JO, 2017, CAD SAUDE PUBLICA, V33, DOI [10.1590/0102-311X00082816, 10.1590/0102-311x00082816]
  22. Nogueira Oracy, 1985, TANTO PRETO QUANTO B
  23. Parra FC, 2003, P NATL ACAD SCI USA, V100, P177, DOI 10.1073/pnas.0126614100
  24. Pena SDJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0017063
  25. Queiroz EM, 2013, GENET MOL RES, V12, P5124, DOI 10.4238/2013.October.29.6
  26. Roth WD, 2016, ETHNIC RACIAL STUD, V39, P1310, DOI 10.1080/01419870.2016.1140793
  27. Ruiz-Linares A, 2014, PLOS GENET, V10, DOI 10.1371/journal.pgen.1004572
  28. Santos HC, 2016, EUR J HUM GENET, V24, P725, DOI 10.1038/ejhg.2015.187
  29. Santos RV, 2009, CURR ANTHROPOL, V50, P787, DOI 10.1086/644532
  30. Santos SM, 2010, INT J HEALTH GEOGR, V9, DOI 10.1186/1476-072X-9-34
  31. Schmidt MI, 2015, INT J EPIDEMIOL, V44, P68, DOI 10.1093/ije/dyu027
  32. Schwartzman LF, 2007, AM SOCIOL REV, V72, P940, DOI 10.1177/000312240707200605
  33. Telles EE, 2014, RACE ANOTHER AM SIGN, DOI [10.23943/9781400837434, DOI 10.23943/9781400837434]
  34. Templeton AR, 2013, STUD HIST PHI PART C, V44, P262, DOI 10.1016/j.shpsc.2013.04.010
  35. Travassos Claudia, 2004, Cad. Saúde Pública, V20, P660, DOI 10.1590/S0102-311X2004000300003
  36. Wade P., 2014, MESTIZO GENOMICS RAC
  37. Wagley C., 1965, CONT CULTURES SOC LA, P531

Coleções
Artigos e Materiais de Revistas Científicas - FM/MCM
Artigos e Materiais de Revistas Científicas - HC/InCor
Artigos e Materiais de Revistas Científicas - LIM/13
Artigos e Materiais de Revistas Científicas - LIM/20