Connections Matter: Social Networks and Lifespan Health in Primate Translational Models.
Connections Matter: Social Networks and Lifespan Health in Primate Translational Models.
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DOI：
10.3389/fpsyg.2016.00433
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发表时间：
2016
影响因子：
3.8
通讯作者：
Hsieh F
中科院分区：
文献类型：
--
作者：
McCowan B;Beisner B;Bliss-Moreau E;Vandeleest J;Jin J;Hannibal D;Hsieh F
人类生活在充满影响健康的丰富而复杂的关系的社会中。改善人类健康的能力需要详细了解促成疾病过程的生物系统的复杂相互作用，包括社会环境对这些生物系统影响的潜在机制。纵向计算系统科学方法提供了独特的适合于阐明社会系统影响健康和福祉的机制的方法，通过研究它们如何调节整个生命周期中生物系统之间的相互作用。在本报告中，我们认为，非人类灵长类动物的社会系统是足够复杂的模型系统，允许的发展和完善的分析和理论框架，社会生活的健康。最终，在非人类灵长类动物模型中开发系统科学框架将加速发现有助于社会生活和人类健康之间关系的机制。
Humans live in societies full of rich and complex relationships that influence health. The ability to improve human health requires a detailed understanding of the complex interplay of biological systems that contribute to disease processes, including the mechanisms underlying the influence of social contexts on these biological systems. A longitudinal computational systems science approach provides methods uniquely suited to elucidate the mechanisms by which social systems influence health and well-being by investigating how they modulate the interplay among biological systems across the lifespan. In the present report, we argue that nonhuman primate social systems are sufficiently complex to serve as model systems allowing for the development and refinement of both analytical and theoretical frameworks linking social life to health. Ultimately, developing systems science frameworks in nonhuman primate models will speed discovery of the mechanisms that subserve the relationship between social life and human health.