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Exposing Racial Discrimination: Implicit & Explicit Measures–The My Body, My Story Study of 1005 US-Born Black & White Community Health Center Members

BACKGROUND: To date, research on racial discrimination and health typically has employed explicit self-report measures, despite their potentially being affected by what people are able and willing to say. We accordingly employed an Implicit Association Test (IAT) for racial discrimination, first dev...

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Autores principales: Krieger, Nancy, Waterman, Pamela D., Kosheleva, Anna, Chen, Jarvis T., Carney, Dana R., Smith, Kevin W., Bennett, Gary G., Williams, David R., Freeman, Elmer, Russell, Beverley, Thornhill, Gisele, Mikolowsky, Kristin, Rifkin, Rachel, Samuel, Latrice
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3220691/
https://www.ncbi.nlm.nih.gov/pubmed/22125618
http://dx.doi.org/10.1371/journal.pone.0027636
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author Krieger, Nancy
Waterman, Pamela D.
Kosheleva, Anna
Chen, Jarvis T.
Carney, Dana R.
Smith, Kevin W.
Bennett, Gary G.
Williams, David R.
Freeman, Elmer
Russell, Beverley
Thornhill, Gisele
Mikolowsky, Kristin
Rifkin, Rachel
Samuel, Latrice
author_facet Krieger, Nancy
Waterman, Pamela D.
Kosheleva, Anna
Chen, Jarvis T.
Carney, Dana R.
Smith, Kevin W.
Bennett, Gary G.
Williams, David R.
Freeman, Elmer
Russell, Beverley
Thornhill, Gisele
Mikolowsky, Kristin
Rifkin, Rachel
Samuel, Latrice
author_sort Krieger, Nancy
collection PubMed
description BACKGROUND: To date, research on racial discrimination and health typically has employed explicit self-report measures, despite their potentially being affected by what people are able and willing to say. We accordingly employed an Implicit Association Test (IAT) for racial discrimination, first developed and used in two recent published studies, and measured associations of the explicit and implicit discrimination measures with each other, socioeconomic and psychosocial variables, and smoking. METHODOLOGY/PRINCIPAL FINDINGS: Among the 504 black and 501 white US-born participants, age 35–64, randomly recruited in 2008–2010 from 4 community health centers in Boston, MA, black participants were over 1.5 times more likely (p<0.05) to be worse off economically (e.g., for poverty and low education) and have higher social desirability scores (43.8 vs. 28.2); their explicit discrimination exposure was also 2.5 to 3.7 times higher (p<0.05) depending on the measure used, with over 60% reporting exposure in 3 or more domains and within the last year. Higher IAT scores for target vs. perpetrator of discrimination occurred for the black versus white participants: for “black person vs. white person”: 0.26 vs. 0.13; and for “me vs. them”: 0.24 vs. 0.19. In both groups, only low non-significant correlations existed between the implicit and explicit discrimination measures; social desirability was significantly associated with the explicit but not implicit measures. Although neither the explicit nor implicit discrimination measures were associated with odds of being a current smoker, the excess risk for black participants (controlling for age and gender) rose in models that also controlled for the racial discrimination and psychosocial variables; additional control for socioeconomic position sharply reduced and rendered the association null. CONCLUSIONS: Implicit and explicit measures of racial discrimination are not equivalent and both warrant use in research on racial discrimination and health, along with data on socioeconomic position and social desirability.
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spelling pubmed-32206912011-11-28 Exposing Racial Discrimination: Implicit & Explicit Measures–The My Body, My Story Study of 1005 US-Born Black & White Community Health Center Members Krieger, Nancy Waterman, Pamela D. Kosheleva, Anna Chen, Jarvis T. Carney, Dana R. Smith, Kevin W. Bennett, Gary G. Williams, David R. Freeman, Elmer Russell, Beverley Thornhill, Gisele Mikolowsky, Kristin Rifkin, Rachel Samuel, Latrice PLoS One Research Article BACKGROUND: To date, research on racial discrimination and health typically has employed explicit self-report measures, despite their potentially being affected by what people are able and willing to say. We accordingly employed an Implicit Association Test (IAT) for racial discrimination, first developed and used in two recent published studies, and measured associations of the explicit and implicit discrimination measures with each other, socioeconomic and psychosocial variables, and smoking. METHODOLOGY/PRINCIPAL FINDINGS: Among the 504 black and 501 white US-born participants, age 35–64, randomly recruited in 2008–2010 from 4 community health centers in Boston, MA, black participants were over 1.5 times more likely (p<0.05) to be worse off economically (e.g., for poverty and low education) and have higher social desirability scores (43.8 vs. 28.2); their explicit discrimination exposure was also 2.5 to 3.7 times higher (p<0.05) depending on the measure used, with over 60% reporting exposure in 3 or more domains and within the last year. Higher IAT scores for target vs. perpetrator of discrimination occurred for the black versus white participants: for “black person vs. white person”: 0.26 vs. 0.13; and for “me vs. them”: 0.24 vs. 0.19. In both groups, only low non-significant correlations existed between the implicit and explicit discrimination measures; social desirability was significantly associated with the explicit but not implicit measures. Although neither the explicit nor implicit discrimination measures were associated with odds of being a current smoker, the excess risk for black participants (controlling for age and gender) rose in models that also controlled for the racial discrimination and psychosocial variables; additional control for socioeconomic position sharply reduced and rendered the association null. CONCLUSIONS: Implicit and explicit measures of racial discrimination are not equivalent and both warrant use in research on racial discrimination and health, along with data on socioeconomic position and social desirability. Public Library of Science 2011-11-18 /pmc/articles/PMC3220691/ /pubmed/22125618 http://dx.doi.org/10.1371/journal.pone.0027636 Text en Krieger et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Krieger, Nancy
Waterman, Pamela D.
Kosheleva, Anna
Chen, Jarvis T.
Carney, Dana R.
Smith, Kevin W.
Bennett, Gary G.
Williams, David R.
Freeman, Elmer
Russell, Beverley
Thornhill, Gisele
Mikolowsky, Kristin
Rifkin, Rachel
Samuel, Latrice
Exposing Racial Discrimination: Implicit & Explicit Measures–The My Body, My Story Study of 1005 US-Born Black & White Community Health Center Members
title Exposing Racial Discrimination: Implicit & Explicit Measures–The My Body, My Story Study of 1005 US-Born Black & White Community Health Center Members
title_full Exposing Racial Discrimination: Implicit & Explicit Measures–The My Body, My Story Study of 1005 US-Born Black & White Community Health Center Members
title_fullStr Exposing Racial Discrimination: Implicit & Explicit Measures–The My Body, My Story Study of 1005 US-Born Black & White Community Health Center Members
title_full_unstemmed Exposing Racial Discrimination: Implicit & Explicit Measures–The My Body, My Story Study of 1005 US-Born Black & White Community Health Center Members
title_short Exposing Racial Discrimination: Implicit & Explicit Measures–The My Body, My Story Study of 1005 US-Born Black & White Community Health Center Members
title_sort exposing racial discrimination: implicit & explicit measures–the my body, my story study of 1005 us-born black & white community health center members
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3220691/
https://www.ncbi.nlm.nih.gov/pubmed/22125618
http://dx.doi.org/10.1371/journal.pone.0027636
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