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Advancing methods for the biodemography of aging within social contexts

Raisa Hernandez-Pacheco, Ulrich K. Steiner, Alexandra G. Rosati, Shripad Tuljapurkar

Neuroscience and biobehavioral reviews(2023)

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Abstract
Several social dimensions including social integration, status, early-life adversity, and their interactions across the life course can predict health, reproduction, and mortality in humans. Accordingly, the social environment plays a fundamental role in the emergence of phenotypes driving the evolution of aging. Recent work placing human social gradients on a biological continuum with other species provides a useful evolutionary context for aging questions, but there is still a need for a unified evolutionary framework linking health and aging within social contexts. Here, we summarize current challenges to understand the role of the social environment in human life courses. Next, we review recent advances in comparative biodemography and propose a biodemographic perspective to address socially driven health phenotype distributions and their evolutionary consequences using a nonhuman primate population. This new comparative approach uses evolutionary demography to address the joint dynamics of populations, social dimensions, phenotypes, and life history parameters. The long-term goal is to advance our understanding of the link between individual social environments, population-level outcomes, and the evolution of aging.
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Key words
Animal models,Biodemography,Cayo Santiago,Integral projection models,Multi -state models,Nonhuman primates,Rhesus macaques,Social dimensions
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