Inverse associations between perceived racism and coronary artery calcification.

Pubmed ID: 22365645

Pubmed Central ID: PMC3966306

Journal: Annals of epidemiology

Publication Date: March 1, 2012

MeSH Terms: Humans, Male, Adult, Female, Risk Factors, United States, Logistic Models, Middle Aged, Linear Models, Coronary Artery Disease, Perception, Prejudice, White People, Black or African American

Grants: R25 GM083270, R25GM083270, R25GM083270-S

Authors: Loucks EB, Everage NJ, Gjelsvik A, McGarvey ST, Linkletter CD

Cite As: Everage NJ, Gjelsvik A, McGarvey ST, Linkletter CD, Loucks EB. Inverse associations between perceived racism and coronary artery calcification. Ann Epidemiol 2012 Mar;22(3):183-90.

Studies:

Abstract

PURPOSE: To evaluate whether racial discrimination is associated with coronary artery calcification (CAC) in African-American participants of the Coronary Artery Risk Development in Young Adults (CARDIA) study. METHODS: The study included American Black men (n = 571) and women (n = 791) aged 33 to 45 years in the CARDIA study. Perceived racial discrimination was assessed based on the Experiences of Discrimination scale (range, 1-35). CAC was evaluated using computed tomography. Primary analyses assessed associations between perceived racial discrimination and presence of CAC using multivariable-adjusted logistic regression analysis, adjusted for age, gender, socioeconomic position (SEP), psychosocial variables, and coronary heart disease (CHD) risk factors. RESULTS: In age- and gender-adjusted logistic regression models, odds of CAC decreased as the perceived racial discrimination score increased (odds ratio [OR], 0.94; 95% confidence interval [CI], 0.90-0.98 per 1-unit increase in Experiences of Discrimination scale). The relationship did not markedly change after further adjustment for SEP, psychosocial variables, or CHD risk factors (OR, 0.93; 95% CI, 0.87-0.99). CONCLUSIONS: Perceived racial discrimination was negatively associated with CAC in this study. Estimation of more forms of racial discrimination as well as replication of analyses in other samples will help to confirm or refute these findings.