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New Directions in Geroscience: Integrating Social and Behavioral Drivers of Biological Aging. | LitMetric

New Directions in Geroscience: Integrating Social and Behavioral Drivers of Biological Aging.

Psychosom Med

From the Division of Behavioral and Social Research (Nielsen), National Institute on Aging, National Institutes of Health. Bethesda, Maryland; Department of Psychology (Marsland), University of Pittsburgh, Pittsburgh, Pennsylvania; and Department of Psychiatry and Behavioral Sciences (Hamlat, Epel), University of California, San Francisco, San Francisco, California.

Published: June 2024

The "geroscience hypothesis" posits that slowing the physiological processes of aging would lead to delayed disease onset and longer healthspan and lifespan. This shift from a focus on solely treating existing disease to slowing the aging process is a shift toward prevention, including a focus on risk factors found in the social environment. Although geroscience traditionally has focused on the molecular and cellular drivers of biological aging, more fundamental causes of aging may be found in the social exposome-the complex array of human social environmental exposures that shape health and disease. The social exposome may interact with physiological processes to accelerate aging biology. In this commentary, we review the potential of these insights to shape the emerging field of translational geroscience. The articles in this special issue highlight how social stress and social determinants of health are associated with biomarkers of aging such as inflammation, epigenetic clocks, and telomeres, and spotlight promising interventions to mitigate stress-related inflammation. For geroscience to incorporate the social exposome into its translational agenda, studies are needed that elucidate and quantify the effects of social exposures on aging and that consider social exposures as intervention targets. The life course perspective allows us to measure both exposures and aging biology over time including sensitive periods of development and major social transitions. In addition, given rapid changes in the measurement of aging biology, which include machine learning techniques, multisystem phenotypes of aging are being developed to better reflect whole body aging, replacing reliance on single system biomarkers. In this expanded and more integrated field of translational geroscience, strategies targeting factors in the social exposome hold promise for achieving aging health equity and extending healthy longevity.

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Source
http://dx.doi.org/10.1097/PSY.0000000000001320DOI Listing

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