A systematic review and meta-analysis of the Everyday Discrimination Scale and biomarker outcomes. (August 2022)

• Record Type: Journal Article
• Authors: Lawrence, Jourdyn A.; Kawachi, Ichiro; White, Kellee; Bassett, Mary T.; Priest, Naomi; Masunga, Joan Gakii; Cory, Hannah J.; Mita, Carol; Williams, David R.
• Is Part Of: Psychoneuroendocrinology. Volume 142(2022)
• Publication Date: 2022-08
• Subjects: Social discrimination -- C-reactive protein -- Inflammation -- Telomere length -- Stress; Psychoneuroendocrinology -- Periodicals; Endocrinology -- Periodicals; Neurology -- Periodicals; Psychiatry -- Periodicals; Neuropsychoendocrinologie -- Périodiques; 616.8
• DOI: 10.1016/j.psyneuen.2022.105772
• Languages: English
• ISSNs: 0306-4530

Abstract

Abstract: Discrimination has consistently been associated with multiple adverse health outcomes. Like other psychosocial stressors, discrimination is thought to impact health through stress-related physiologic pathways including hypothalamic-pituitary-adrenal (HPA) axis activation, dysregulation of inflammation responses, and accelerated cellular aging. Given growing attention to research examining the biological pathways through which discrimination becomes embodied, this systematic review and meta-analysis synthesizes empirical evidence examining relationships between self-reported discrimination and four biomarker outcomes (i.e., cortisol, C-reactive protein (CRP), interleukin-6 (IL-6), and telomere length) among studies that have used the Everyday Discrimination Scale. We conducted a systematic review of studies discussing self-reported, everyday, or chronic discrimination in the context of health by searching Medline / PubMed (National Library of Medicine, NCBI), PsycInfo (APA, Ebsco) and Web of Science Core Collection (Clarivate). Twenty-five articles met the criteria for meta-analysis, with several reporting on multiple outcomes. Discrimination was associated with elevated CRP levels ( r = 0.11; 95% CI: 0.01, 0.20, k = 10 ), though not cortisol ( r = 0.05 ; 95% CI: −0.06, 0.16, k = 9), IL-6 ( r = 0.05 ; 95% CI: −0.32, 0.42, k = 5 ), or telomere length ( r = 0.03; 95% CI: −0.01, 0.07, k = 6 ). We identify several points of consideration for future research including addressing heterogeneity in assessment of biomarker outcomes and the need for longitudinal assessments of relationships between discrimination and biomarker outcomes. Highlights: How discrimination affects health prior to clinical disease is of interest. Meta-analysis suggests discrimination is associated with elevated CRP. Additional research is needed, specifically for interleukin-6 and telomere length. Focus on biomarker measurement and sample demographics are needed.