Author | Fattore, Gisel Lorena | |
Author | Amorim, Leila D. | |
Author | Santos, Letícia Marques dos | |
Author | Santos, Darci Neves dos | |
Author | Barreto, Mauricio Lima | |
Access date | 2020-08-11T13:44:07Z | |
Available date | 2020-08-11T13:44:07Z | |
Document date | 2020 | |
Citation | FATTORE, Gisel Lorena et al. Experiences of Discrimination and Skin Color Among Women in Urban Brazil: A Latent Class Analysis. Journal of Black Psychology, v. 46, n. 2-3, p. 144-168, 2020. | pt_BR |
ISSN | 0095-7984 | pt_BR |
URI | https://www.arca.fiocruz.br/handle/icict/42652 | |
Sponsorship | SCAALA Programme (Social Change, Asthma and Allergy in Latin America), which is funded by The Welcome Trust, UK, Ref 072405/Z/03/Z. Complementary funds were received from the INCT/CNPq Programme Ref 610011/2009-0. | pt_BR |
Language | eng | pt_BR |
Publisher | SAGE Publications | pt_BR |
Rights | open access | pt_BR |
Subject in Portuguese | Discriminação racial | pt_BR |
Subject in Portuguese | Brasil | pt_BR |
Subject in Portuguese | Análise de classes latentes | pt_BR |
Subject in Portuguese | Mulheres | pt_BR |
Subject in Portuguese | Discriminação | pt_BR |
Title | Experiences of Discrimination and Skin Color Among Women in Urban Brazil: A Latent Class Analysis | pt_BR |
Type | Article | |
DOI | 10.1177/0095798420928204 | pt_BR |
Abstract | Experiences of discrimination are an important aspect of women’s life in
Brazil, especially Black women. The Experiences of Discrimination scale
(EOD) is often used for assessing discrimination in epidemiological studies,
although divergent cutoff points have been used to characterize the
exposure. We used latent class analysis (LCA) and logistic regression to
identify and characterize subgroups of women exposed to discrimination and
compared with a cutoff-based assignment of subgroups. One thousand twohundred and four women living in Salvador, Brazil, responded to the EOD. We selected models with two latent classes, highly and lowly exposed. The classes differed in self-reported skin color and education level, revealing that darker skinned (odds ratio [OR] = 11.3, 95% confidence interval [CI: 1.54, 82.7]) and more educated (OR = 2.09, 95% CI [1.17, 3.72]) women were more likely to be classified into the highly exposed class. Comparing with LCA, the use of cutoff points overestimated the reporting of discrimination. Researchers should consider the use of more accurate measures of discrimination in order to identify the most vulnerable individuals so that prevention efforts could be better targeted. | pt_BR |
Affilliation | Universidad Nacional de Lanús. Buenos Aires, Lanús, Argentina / Universidade Federal da Bahia. Salvador, BA, Brasil. | |
Affilliation | Universidade Federal da Bahia. Salvador, BA, Brasil. | |
Affilliation | Universidade Federal da Bahia. Salvador, BA, Brasil. | |
Affilliation | Universidade Federal da Bahia. Salvador, BA, Brasil. | |
Affilliation | Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Universidade Federal da Bahia. Salvador, BA, Brasil. | |
Subject | Racial discrimination | pt_BR |
Subject | Brazil | pt_BR |
Subject | Latent classes | pt_BR |
Subject | Women | pt_BR |
Subject | Experiences of Discrimination Scale | pt_BR |