Advancing methods for the biodemography of aging within social contexts
Year: 2023
Type: review
Abstract: Raisa Hernández-Pachecoa*, Ulrich K. Steinerb, Alexandra G. Rosatic, Shripad TuljapurkardaCalifornia State University-Long Beach, Department of Biological Sciences, 1250 N Bellflower Blvd, Long Beach, CA, USA 90840-0004bFreie Universität Berlin, Biological Institute, Königin-Luise Str. 1-3,14195 Berlin, Germany; cDepartments of Psychology and Anthropology, University of Michigan, 530 Church St, Ann Arbor, MI, USA 48109 d327 Campus Dr., Rm 233, Stanford University, Stanford, CA, USA 94305*Corresponding author:[email protected] interests statement : None.Abstract . Several social traits including status, integration, early-life adversity, and their interactions across the life course can predict health, reproduction, and mortality in humans. Accordingly, individual sociality 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 for sociality, health, and aging. Here, we first summarize current challenges to disentangle the effects of the social environment on 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, sociality, phenotypes, and life history parameters. The long-term goal is to advance our understanding of the link between individual sociality, population-level outcomes, and the evolution of aging.
Language: English
Domain: Life Sciences
Open Access status: bronze
Awards: Mechanismen von Populationsdynamiken — ein evolutionsdemographischer Ansatz zur individuellen Heterogenität, BRC-BIO: The evolutionary demography of a social mammal, Modeling Health Histories and the Dynamics of Social Inequality in a Nonhuman Primate Population, Cumulative Life Course Effects on Aging and Health in a Long-Lived Primate Model, Research Network on Animal Models to Understand Social Dimensions of Aging, Caribbean Primate Research Center Program
OpenAlex ID: W4386898771