Related Experiment Video
Updated: Sep 23, 2025

Collecting Hair Samples for Hair Cortisol Analysis in African Americans
Published on: June 10, 2018
Investigating Racial Differences in Allostatic Load by Educational Attainment among Non-Hispanic Black and White Men
Danielle R Gilmore1, Tzitzi Morán Carreño2, Hossein Zare3
1Trachtenberg School of Public Policy and Administration, George Washington University, Washington, DC 20052, USA.
Abstract:
Education continues to be a key factor contributing to increased access to critical life-improving opportunities and has been found to be protective against Allostatic Load (AL). The purpose of this study was to assess AL among Non-Hispanic (NH) White and NH Black men with the same level of education. We used 1999-2016 National Health and Nutrition Examination Surveys (NHANES) data with an analytical sample of 6472 men (1842 NH Black and 4630 NH White), and nine biomarkers to measure AL, controlling for various demographic and health-related factors. NH Black men had a higher AL score than NH White men (39.1%, 842 vs. 37.7%, 1,975). Racial disparities in AL between NH Black and NH White men who have a college degree or above (PR: 1.49, CI: [1.24-1.80]) were observed. Models posited similar AL differences at every other level of education, although these were not statistically significant. The findings reveal that socioeconomic returns to education and the societal protective mechanisms associated with education vary greatly between White and Black men.
More Related Videos
07:32Use of Galvanic Skin Responses, Salivary Biomarkers, and Self-reports to Assess Undergraduate Student Performance During a Laboratory Exam Activity
Published on: February 10, 2016
06:15A Modified Trier Social Stress Test for Vulnerable Mexican American Adolescents
Published on: July 10, 2017
Related Concept Videos
Stereotypes, Prejudice, and Discrimination
Longitudinal Research
Sources of Self-Esteem III: Social Comparison
Longitudinal Studies
Cross-Sectional Research
Two-Way ANOVA
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...