Intersectional vulnerability in the relationship between discrimination and inflammatory gene expression.
Autor: | Cuevas AG; Department of Social and Behavioral Sciences, School of Global Public Health, New York University, United States., Freilich CD; Department of Psychology, University of Minnesota, United States., Mann FD; Program in Public Health, Stony Brook University, United States., Cole SW; Department of Psychiatry & Biobehavioral Sciences and Medicine, University of California, Los Angeles, United States., Krueger RF; Department of Psychology, University of Minnesota, United States. |
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Jazyk: | angličtina |
Zdroj: | Brain, behavior, & immunity - health [Brain Behav Immun Health] 2022 Dec 30; Vol. 27, pp. 100580. Date of Electronic Publication: 2022 Dec 30 (Print Publication: 2023). |
DOI: | 10.1016/j.bbih.2022.100580 |
Abstrakt: | 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 White (∼73%) and had some college experience (∼60%). Results showed significant variation in the strength of association between daily discrimination and inflammatory gene expression by race and sex ( b = -0.022; 95% CI:-0.038,-0.005, p = .009) with the estimated marginal association larger for racially-minoritized males ( b = 0.007; 95% CI:-0.003,0.017, p = .163), compared to White males ( b = -0.006; 95% CI:-0.013,0.001, p = .076). This study indicates that the link between daily discrimination and inflammatory gene expression may vary by sociodemographic characteristics. To improve initiatives and policies aimed at ameliorating disparities within populations, greater attention is needed to understand how interlocking systems of inequalities contribute to physiological health. Competing Interests: The authors have no conflict of interest. (© 2022 The Authors.) |
Databáze: | MEDLINE |
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