Effects of Altering Social Connectedness on Health

改变社会联系对健康的影响

• 批准号: 10586130
• 负责人: Brenda McCowan
• 金额: $ 67.67万
• 依托单位: UNIVERSITY OF CALIFORNIA AT DAVIS
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-06-22 至 2026-02-28
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10586130
• 关键词: Address; Adopted; Affect; Biological Markers; Cardiovascular Physiology; Communities; Complex; Desire for food; Development; Disease; Exhibits; Family; Future; Goals; Health; Human; Immune; Individual; Intervention; Kidney; Life; Link; Liver; Long-Term Effects; Measures; Medical Research; Methods; Modeling; Outcome; Pathway interactions; Physiological; Physiological Processes; Physiology; Play; Population; Positioning Attribute; Prevention; Primary Prevention; Process; Public Health; Research; Resources; Role; Science; Series; Shapes; Social Environment; Social Interaction; Social Network; Social support; Source; System; Testing; Time; Translations; biological systems; design; disorder risk; efficacious intervention; experience; experimental study; improved; motherhood; nonhuman primate; prevent; social; social influence; social interventions; social relationships

Project Summary Social life profoundly influences health. The ability to treat and prevent illness and improve human health therefore requires a detailed understanding of the complex mechanisms underlying the influence of social complexity on biological systems. Such understanding is key to the development of new interventions to improve public health. Past studies have demonstrated the critical contribution of social relationships in shaping health outcomes but are limited in application because such studies rarely consider social support or health as “complex systems”. As a result, we lack a deep understanding of how and why individuals within families, and families within communities, remain healthy or become unhealthy in the context of their social environments. In this application, our proposed research overcomes this limitation by adopting an intervention- based experimental and computational systems science approach that provides methods uniquely suited to elucidate the complex mechanisms by which social systems influence health by modeling short- and longer term integrative effects of social life on health in a proven nonhuman primate model.

项目摘要 社会生活深刻地影响着健康。治疗和预防疾病以及改善人类健康的能力 因此，需要详细了解社会影响的复杂机制， 生物系统的复杂性。这种理解是制定新干预措施的关键， 改善公共卫生。过去的研究已经证明了社会关系的关键贡献， 影响健康结果，但应用有限，因为这些研究很少考虑社会支持， 健康是“复杂的系统”。因此，我们缺乏对内部个人如何以及为什么 家庭和社区内的家庭在其社会背景下保持健康或变得不健康， 环境.在这项应用中，我们提出的研究通过采用干预措施克服了这一限制- 基于实验和计算的系统科学方法，提供了独特的方法， 阐明社会系统通过建模短期和长期影响健康的复杂机制 在一个被证实的非人类灵长类动物模型中，社会生活对健康的综合影响。