Social status correlates of reporting gender discrimination and racial discrimination among racially diverse women.
The growing body of research on discrimination and health indicates a deleterious effect of discrimination on various health outcomes. However, less is known about the sociodemographic correlates of reporting racial discrimination and gender discrimination among racially diverse women. We examined the associations of social status characteristics with lifetime experiences of racial discrimination and gender discrimination using a racially-diverse sample of 754 women attending family planning clinics in North California (11.4% African American, 16.8% Latina, 10.1% Asian and 61.7% Caucasian). A multivariate analysis revealed that race, financial difficulty and marital status were significantly correlated with higher reports of racial discrimination, while race, education, financial difficulty and nativity were significantly correlated with gender discrimination scores. Our findings suggest that the social patterning of perceiving racial discrimination is somewhat different from that of gender discrimination. This has implications in the realm of discrimination research and applied interventions, as different forms of discrimination may have unique covariates that should be accounted for in research analysis or program design.
Ro
Annie E
AE
University of Michigan, Department of Health Behavior and Health Education, Ann Arbor, Michigan 48106, USA. anniero@umich.edu
Choi
Kyung-Hee
KH
D000328:Adult; D001741:Black or African American / Q000706:statistics & numerical data; D001213:Asian / Q000706:statistics & numerical data; D001294:Attitude to Health / Q000208:ethnology*; D002140:California / Q000453:epidemiology; D005006:Ethnicity / Q000706:statistics & numerical data*; D005260:Female; D006630:Hispanic or Latino / Q000706:statistics & numerical data; D006801:Humans; D011287:Prejudice; D012737:Sex Factors; D012923:Social Class; D012931:Social Environment; D012938:Social Perception; D012959:Socioeconomic Factors; D011795:Surveys and Questionnaires; D044465:White People / Q000706:statistics & numerical data; D016387:Women's Health / Q000208:ethnology*; D055815:Young Adult