Related Experiment Video
Updated: May 28, 2026

Bridging the Technology Divide in the COVID-19 Era: Using Virtual Outreach to Expose Middle and High School Students to Imaging Technology
Published on: September 28, 2022
Can we capture the intersections? Older Black women, education, and health
Susan W Hinze1, Jielu Lin, Tanetta E Andersson
1Department of Sociology, Case Western Reserve University, Cleveland, OH 44106-7124, USA. susan.hinze@case.edu
Background:
Race/ethnicity, gender, and socioeconomic status are the three most prominent factors to predict health outcomes. Despite the fact that persistent health inequalities are found between groups, we know little about how the interrelatedness of these social positions influences the health of older adults.
Purpose:
In this study, we apply a feminist intersectional approach to the study of health inequalities, treating social variables as multiplicative rather than additive to capture the mutually constitutive dimensions of race/ethnicity, gender, and education.
Methods:
This paper makes use of data from the National Social Life, Health and Aging Project, a nationally representative sample of 3,005 community-dwelling U.S. adults aged 57 to 85 years old, to explore intersections of race, gender, and education. We use a combination of stratified analysis with an interaction term to test multiplicative effects.
Results:
First, our findings confirm that Black women with less than a high school education have the poorest self-rated health. Second, at the bivariate level, we find highly educated White men are not the converse of lower educated Black women. Third, at the multivariate level, we find being Black and female has an effect on health beyond those already accounted for by race and gender.
Conclusion:
This research demonstrates the explanatory power of an intersectionality approach to deepen understanding of the overlapping, simultaneous production of health inequalities by race, class, and gender.
Related Concept Videos
Cross-Sectional Research
Stereotypes, Prejudice, and Discrimination
Data Collection by Observations
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
Longitudinal Research
Applications of Life Tables
Strategies for Assessing and Addressing Confounding
Confounding can be addressed at both the design phase of a study and through analytical methods after data...

