2004
DOI: 10.1590/s0102-311x2004000300003
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The concept and measurement of race and their relationship to public health: a review focused on Brazil and the United States

Abstract: Race has been widely used in studies on health and healthcare inequalities, especially in the United States. Validity and reliability problems with race measurement are of concern in public health. This article reviews the literature on the concept and measurement of race and compares how the findings apply to the United States and Brazil. We discuss in detail the data quality issues related to the measurement of race and the problems raised by measuring race in multiracial societies like Brazil. We discuss ho… Show more

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Cited by 181 publications
(173 citation statements)
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References 51 publications
(67 reference statements)
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“…Currently, there are three ways of categorizing race in Brazil that are worth emphasizing: (1) that of the Brazilian census, which distinguishes among five discrete categories of skin color -white, brown, black, Asian ("yellow"), and Native Brazilian ("indigenous"), the fifth of which considers ancestry and ethnicity differently from the other four; (2) that of popular discourse, which uses a diverse 24 ; and (3) that of black political activists, who defend the use of the category "negro" or "of African descent" rather than "brown" and "black". The objective of the latter classification system is to reestablish the identification of ancestry, and consequently of collective identity, among African descendants in Brazil 22 . Results from this study, however, point to differences between brown and black women, which reinforce the need to consider these distinct racial categories in health research in societies like Brazil's.…”
Section: Discussionmentioning
confidence: 99%
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“…Currently, there are three ways of categorizing race in Brazil that are worth emphasizing: (1) that of the Brazilian census, which distinguishes among five discrete categories of skin color -white, brown, black, Asian ("yellow"), and Native Brazilian ("indigenous"), the fifth of which considers ancestry and ethnicity differently from the other four; (2) that of popular discourse, which uses a diverse 24 ; and (3) that of black political activists, who defend the use of the category "negro" or "of African descent" rather than "brown" and "black". The objective of the latter classification system is to reestablish the identification of ancestry, and consequently of collective identity, among African descendants in Brazil 22 . Results from this study, however, point to differences between brown and black women, which reinforce the need to consider these distinct racial categories in health research in societies like Brazil's.…”
Section: Discussionmentioning
confidence: 99%
“…The investigation of such biological mechanisms, possibly resulting from phenotypic features, would not mean an endorsement of genetic inheritance as the basis for racial classifications. The wide variability of humans' external physical characteristics, commonly used to describe racial groups, seems to reflect changes and adjustments, over the mil-lennia, to variations of climate and other environmental factors, as well as historical and social conditions 22,59,60,61 .…”
Section: Modelmentioning
confidence: 99%
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“…During the interview, skin color was self-reported, with the subject choosing one of the following closed alternatives in response to the question: "What is your skin color? ": mulatto (brown), black, white, yellow, and native, according to the standards used by the Brazilian Institute of Geography and Statistics (IBGE) (13,16).…”
Section: Methodsmentioning
confidence: 99%
“…In Brazil, the term race is normally used to refer to phenotype (physical appearance) rather than to ancestrality (origin), as is the case in the US. While US research is based on categories of "pure" races, in Brazil the "brown" or "mulatto" category is commonly used also to refer to cross-bred individuals (13). The determination of race in health studies is usually done by the interviewer, whereas the more recommended procedure is self-classification (11).…”
Section: Introductionmentioning
confidence: 99%