235779 Racial discrimination and health: My Body, My Story – as told by explicit and implicit measures of exposure, in context

Monday, October 31, 2011: 2:35 PM

Nancy Krieger, PhD , Department of Society, Human Development, and Health, Harvard School of Public Health, Boston, MA
Pamela D. Waterman, MPH , Department of Society, Human Development and Health, Harvard School of Public Health, Boston, MA
Anna Kosheleva, MS , Department of Society, Human Development and Health, Harvard School of Public Health, Boston, MA
Jarvis Chen, ScD , Department of Society, Human Development & Health, Harvard School of Public Health, Boston, MA
Elmer Freeman, MSW , Center for Community Health Education Research and Service, Boston, MA
Dana Carney, PhD , Graduate School of Business, Columbia University, New York city, NY
Kevin W. Smith, MA , RTI International, Waltham, MA
Gary Bennett, PhD , Psychology & Neuroscience and Duke Global Health Institute, Duke University, Durham, NC
David R. Williams, PhD, MPH , Department of Society, Human Development and Health, Harvard School of Public Health, Boston, MA
Beverley Russell, PhD , Community Home Care Services, Boston, MA
Gisele Thornhill, MD, MPH , Physician and consultant, Sharon, MA
Kristin Mikolowsky, BA , Department of Society, Human Development & Health, Harvard School of Public Health, Boston, MA
Rachel Rifkin, MPH , Department of Society, Human Development & Health, Harvard School of Public Health, Boston, MA
Latrice Samuel, BA , Department of Society, Human Development & Health, Harvard School of Public Health, Boston, MA
To date, most research on racial discrimination and health has relied on self-report exposure data – which necessarily reflect only what people are willing and/or able to say, and thus may not capture the health impact of internalizing racial discrimination. Building on our pilot work with the Implicit Association Test (IAT) to measure exposure to racial discrimination, we used the IAT along with two explicit self-report measures (“Experiences of Discrimination” [EOD]; “Everyday Discrimination Scale” [EDS]), in our newly established study: My Body, My Story. Participants include 526 self-identified US-born black non-Hispanic Americans and 509 self-identified US-born white non-Hispanic Americans, age 35-64, who at the time of recruitment (August 2008 – December 2010) were members of diverse community health centers in Boston, MA. Among the 1229 eligible members reached, 94% agreed to participate (black: 97%; white: 91%), of whom the majority were women, had a high school but not college degree, and had household incomes below $48,000/year. Among the black and white participants, self-reported exposure respectively equaled: (a) for 3+ situations of racial discrimination (ever), 64% and 18% (EOD), and (b) for unfair treatment based on race/ethnicity (in last year), 19% and 4% (EDS). In this presentation, we examine: (1) the distribution of the explicit and implicit measures of discrimination in relation to race/ethnicity, socioeconomic position, gender, age, and both explicit and implicit measures of racial identity, (2) the association of the discrimination measures with each other and with selected chronic disease health outcomes, and (3) interaction effects among the measures.

Learning Areas:
Advocacy for health and health education
Diversity and culture
Epidemiology
Public health or related research
Social and behavioral sciences

Learning Objectives:
1) Explain difference between implicit and explicit measures of racial discrimination. 2) Discuss hypothesis linking racial discrimination and health status. 3) Describe associations between different measures of racial discrimination with people’s sociodemographic characteristics, and also with each other and with selected chronic disease outcomes.

Keywords: Social Inequalities, Epidemiology

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I am PI of the study on which the abstract is based.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.