Intersectional vulnerability in the relationship between discrimination and inflammatory gene expression.

ABSTRACT: Addressing social disparities in health and well-being requires understanding how the effects of discrimination become biologically embedded, and how embedding processes might vary across different demographic contexts. Emerging research suggests that a threat-related gene expression response may contribute to social disparities in health. We tested a contextual vulnerability model of discrimination embedding using an empirical intersectionality (interaction discovery) analysis of pro-inflammatory gene expression in a national sample of non-institutionalized, English-speaking adults with RNA biomarker data (n = 543). At the time of data collection, the average age of participants was 55 years (SD = 13.26) and approximately half identified as female (50.46%). Most participants identified as

SUBMITTER: Cuevas AG 

PROVIDER: S-EPMC9826875 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature