dc.creatorFattore, Gisel Lorena
dc.creatorAmorim, Leila D.
dc.creatorSantos, Letícia Marques dos
dc.creatorSantos, Darci Neves dos
dc.creatorBarreto, Mauricio Lima
dc.date2020-08-11T13:44:07Z
dc.date2020-08-11T13:44:07Z
dc.date2020
dc.date.accessioned2023-09-26T20:53:54Z
dc.date.available2023-09-26T20:53:54Z
dc.identifierFATTORE, 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.
dc.identifier0095-7984
dc.identifierhttps://www.arca.fiocruz.br/handle/icict/42652
dc.identifier10.1177/0095798420928204
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8865809
dc.descriptionSCAALA 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.
dc.descriptionExperiences 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.
dc.formatapplication/pdf
dc.languageeng
dc.publisherSAGE Publications
dc.rightsopen access
dc.subjectDiscriminação racial
dc.subjectBrasil
dc.subjectAnálise de classes latentes
dc.subjectMulheres
dc.subjectDiscriminação
dc.subjectRacial discrimination
dc.subjectBrazil
dc.subjectLatent classes
dc.subjectWomen
dc.subjectExperiences of Discrimination Scale
dc.titleExperiences of Discrimination and Skin Color Among Women in Urban Brazil: A Latent Class Analysis
dc.typeArticle


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