The Influence of Social Dynamics on Biological Aging and the Health of Historically Marginalized Populations: A Biopsychosocial Model for Health Disparities.

Autor: Tam LM; Department of Environmental Medicine, School of Medicine and Dentistry, University of Rochester, Rochester, NY 14642, USA.; Clinical and Translational Science Institute, University of Rochester Medical Center, Rochester, NY 14642, USA., Hocker K; School of Nursing, University of Rochester, Rochester, NY 14642, USA., David T; Clinical and Translational Science Institute, University of Rochester Medical Center, Rochester, NY 14642, USA.; Department of Nursing, State University of New York Brockport, Brockport, NY 14420, USA., Williams EM; Office of Health Equity Research, School of Medicine and Dentistry, University of Rochester, Rochester, NY 14642, USA.; Center for Community Health and Prevention, University of Rochester, 46 Prince St Ste 1001, Rochester, NY 14607, USA.
Jazyk: angličtina
Zdroj: International journal of environmental research and public health [Int J Environ Res Public Health] 2024 Apr 26; Vol. 21 (5). Date of Electronic Publication: 2024 Apr 26.
DOI: 10.3390/ijerph21050554
Abstrakt: Historically marginalized populations are susceptible to social isolation resulting from their unique social dynamics; thus, they incur a higher risk of developing chronic diseases across the course of life. Research has suggested that the cumulative effect of aging trajectories per se, across the lifespan, determines later-in-life disease risks. Emerging evidence has shown the biopsychosocial effects of social stress and social support on one's wellbeing in terms of inflammation. Built upon previous multidisciplinary findings, here, we provide an overarching model that explains how the social dynamics of marginalized populations shape their rate of biological aging through the inflammatory process. Under the framework of social stress and social support theories, this model aims to facilitate our understanding of the biopsychosocial impacts of social dynamics on the wellbeing of historically marginalized individuals, with a special emphasis on biological aging. We leverage this model to advance our mechanistic understanding of the health disparity observed in historically marginalized populations and inform future remediation strategies.
Databáze: MEDLINE