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

Detalhes bibliográficos
Autor(a) principal: Chor, Dóra
Data de Publicação: 2019
Outros Autores: Pereira, Alexandre, Pacheco, Antonio G., Santos, Ricardo V., Fonseca, Maria J. M., Schmidt, Maria I., Duncan, Bruce B., Barreto, Sandhi M., Aquino, Estela Maria Motta Lima Leão de, Mill, José G., Molina, Maria del C. B., Giatti, Luana, Almeida, Maria da C. C., Bensenor, Isabela, Lotufo, Paulo A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
Texto Completo: https://www.arca.fiocruz.br/handle/icict/35580
Resumo: We thank all ELSA-Brasil participants who agreed to take part in the study.
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spelling Chor, DóraPereira, AlexandrePacheco, Antonio G.Santos, Ricardo V.Fonseca, Maria J. M.Schmidt, Maria I.Duncan, Bruce B.Barreto, Sandhi M.Aquino, Estela Maria Motta Lima Leão deMill, José G.Molina, Maria del C. B.Giatti, LuanaAlmeida, Maria da C. C.Bensenor, IsabelaLotufo, Paulo A.2019-09-13T16:32:03Z2019-09-13T16:32:03Z2019CHOR, Dóra et al. Context-dependence of race self-classification: results from a highly mixed and unequal middle-income country. PLoS One, v. 14, n. 5, p. 1-17, 2019.1932-6203https://www.arca.fiocruz.br/handle/icict/3558010.1371/journal.pone.0216653We thank all ELSA-Brasil participants who agreed to take part in the study.Fundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sérgio Arouca. Departamento de Epidemiologia e Métodos Quantitativos. Rio de Janeiro, RJ, Brasil.Universidade de São Paulo. Instituto do Coração. Laboratório de Genética e Cardiologia Molecular. São Paulo, SP, Brasil.Fundação Oswaldo Cruz. Presidência. Programa de Computação Científica. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sérgio Arouca. Departamento de Epidemiologia e Métodos Quantitativos. Rio de Janeiro, RJ, Brasil / Museu Nacional. Departamento de Antropologia. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sérgio Arouca. Departamento de Epidemiologia e Métodos Quantitativos. Rio de Janeiro, RJ, Brasil.Museu Nacional. Departamento de Antropologia. Rio de Janeiro, RJ, Brasil.Museu Nacional. Departamento de Antropologia. Rio de Janeiro, RJ, Brasil.Universidade Federal do Rio Grande do Sul. Faculdade de Medicina. Programa de Pós-Graduação em Epidemiologia. Porto Alegre, RS, Brasil.Universidade Federal de Minas Gerais. Faculdade de Medicina e Hospital das Clínicas. Belo Horizonte, MG, Brasil.Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil.Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil.Universidade Federal de Minas Gerais. Faculdade de Medicina e Hospital das Clínicas. Belo Horizonte, MG, Brasil.Universidade Federal do Espírito Santo. Departamento de Ciências Fisiológicas. Vitória, ES, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Muniz. Salvador, BA, Brasil.Universidade de São Paulo. Hospital Universitário. Centro de Pesquisa Clínica e Epidemiológica. São Paulo, SP, Brasil.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.PlosOneClassificação étnico-racialContextos históricosContextos culturaisContextos políticosContext-dependence of race self-classification: Results from a highly mixed and unequal middle-income countryinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccessengreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-82991https://www.arca.fiocruz.br/bitstream/icict/35580/1/license.txt5a560609d32a3863062d77ff32785d58MD51ORIGINALContext-dependence of race self-classification-Results from a highly mixed and unequal middle-income country.pdfContext-dependence of 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dc.title.pt_BR.fl_str_mv Context-dependence of race self-classification: Results from a highly mixed and unequal middle-income country
title Context-dependence of race self-classification: Results from a highly mixed and unequal middle-income country
spellingShingle Context-dependence of race self-classification: Results from a highly mixed and unequal middle-income country
Chor, Dóra
Classificação étnico-racial
Contextos históricos
Contextos culturais
Contextos políticos
title_short Context-dependence of race self-classification: Results from a highly mixed and unequal middle-income country
title_full Context-dependence of race self-classification: Results from a highly mixed and unequal middle-income country
title_fullStr Context-dependence of race self-classification: Results from a highly mixed and unequal middle-income country
title_full_unstemmed Context-dependence of race self-classification: Results from a highly mixed and unequal middle-income country
title_sort Context-dependence of race self-classification: Results from a highly mixed and unequal middle-income country
author Chor, Dóra
author_facet Chor, Dóra
Pereira, Alexandre
Pacheco, Antonio G.
Santos, Ricardo V.
Fonseca, Maria J. M.
Schmidt, Maria I.
Duncan, Bruce B.
Barreto, Sandhi M.
Aquino, Estela Maria Motta Lima Leão de
Mill, José G.
Molina, Maria del C. B.
Giatti, Luana
Almeida, Maria da C. C.
Bensenor, Isabela
Lotufo, Paulo A.
author_role author
author2 Pereira, Alexandre
Pacheco, Antonio G.
Santos, Ricardo V.
Fonseca, Maria J. M.
Schmidt, Maria I.
Duncan, Bruce B.
Barreto, Sandhi M.
Aquino, Estela Maria Motta Lima Leão de
Mill, José G.
Molina, Maria del C. B.
Giatti, Luana
Almeida, Maria da C. C.
Bensenor, Isabela
Lotufo, Paulo A.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Chor, Dóra
Pereira, Alexandre
Pacheco, Antonio G.
Santos, Ricardo V.
Fonseca, Maria J. M.
Schmidt, Maria I.
Duncan, Bruce B.
Barreto, Sandhi M.
Aquino, Estela Maria Motta Lima Leão de
Mill, José G.
Molina, Maria del C. B.
Giatti, Luana
Almeida, Maria da C. C.
Bensenor, Isabela
Lotufo, Paulo A.
dc.subject.other.pt_BR.fl_str_mv Classificação étnico-racial
Contextos históricos
Contextos culturais
Contextos políticos
topic Classificação étnico-racial
Contextos históricos
Contextos culturais
Contextos políticos
description We thank all ELSA-Brasil participants who agreed to take part in the study.
publishDate 2019
dc.date.accessioned.fl_str_mv 2019-09-13T16:32:03Z
dc.date.available.fl_str_mv 2019-09-13T16:32:03Z
dc.date.issued.fl_str_mv 2019
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.citation.fl_str_mv CHOR, Dóra et al. Context-dependence of race self-classification: results from a highly mixed and unequal middle-income country. PLoS One, v. 14, n. 5, p. 1-17, 2019.
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/35580
dc.identifier.issn.pt_BR.fl_str_mv 1932-6203
dc.identifier.doi.pt_BR.fl_str_mv 10.1371/journal.pone.0216653
identifier_str_mv CHOR, Dóra et al. Context-dependence of race self-classification: results from a highly mixed and unequal middle-income country. PLoS One, v. 14, n. 5, p. 1-17, 2019.
1932-6203
10.1371/journal.pone.0216653
url https://www.arca.fiocruz.br/handle/icict/35580
dc.language.iso.fl_str_mv eng
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