Department of Biological Sciences, California State University, Long Beach, 1250 N Bellflower Blvd, Long Beach, CA 90840-0004, USA.
Freie Universität Berlin, Biological Institute, Königin-Luise Str. 1-3, 14195 Berlin, Germany.
Neurosci Biobehav Rev. 2023 Oct;153:105400. doi: 10.1016/j.neubiorev.2023.105400. Epub 2023 Sep 20.
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.
包括社会融合、地位、早期逆境在内的几个社会维度,以及它们在整个生命过程中的相互作用,可以预测人类的健康、繁殖和死亡率。因此,社会环境在推动衰老进化的表型出现中起着根本性的作用。最近的工作将人类的社会梯度放在与其他物种的生物连续体上,为衰老问题提供了一个有用的进化背景,但仍需要一个统一的进化框架,将健康和衰老置于社会背景下联系起来。在这里,我们总结了目前理解社会环境在人类生命历程中作用的挑战。接下来,我们回顾了比较生物人口学的最新进展,并提出了一个生物人口学的观点,以使用灵长类动物种群来解决社会驱动的健康表型分布及其进化后果。这种新的比较方法利用进化人口学来解决人口、社会维度、表型和生活史参数的联合动态。长期目标是增进我们对个体社会环境、群体水平结果以及衰老进化之间联系的理解。