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Determining the dynamic influence of social networks on development and health trajectories

确定社交网络对发展和健康轨迹的动态影响

基本信息

批准号：
9069988
负责人：
Brenda McCowan
金额：
$ 63.98万
依托单位：
UNIVERSITY OF CALIFORNIA AT DAVIS
依托单位国家：
美国
项目类别：
财政年份：
2015
资助国家：
美国
起止时间：
2015-07-01 至 2020-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9069988
关键词：
Adolescence Adopted Asthma Biological Biological Markers Birth Chronic Obstructive Airway Disease Communities Complex Coupled Development Disease Disease Outcome Effectiveness Family Characteristics Glucocorticoids Health Human Immune system Individual Infant Infant Development Intervention Joints Lead Life Maps Methods Modeling Neurosecretory Systems Outcome Parents Pathway Analysis Personal Satisfaction Physiological Play Process Public Health Regulation Research Resistance Risk Role Science Shapes Social Environment Social Network Societies Socioeconomic Status Statistical Methods Structure System Systems Development Techniques Testing Time Tissues Vacuum Variant Work biological systems disease diagnosis dynamic system hormone regulation immune function improved insight member nonhuman primate peer prevent psychologic public health relevance research study social social group

项目摘要

DESCRIPTION (provided by applicant): The ability to treat and prevent illness and improve human health requires not only a detailed understanding of the complex interplay of biological systems contributing to disease processes but also the mechanisms underlying the influence of social complexity on biological systems. A developmental systems science approach provides methods uniquely suited to elucidate the mechanisms by which social systems influence health by investigating their effects on modulating the interplay among biological systems during development. The proposed research adopts this approach by modeling multi-level networked systems over time in a well-established nonhuman primate model. We predict that the coordination and regulation of biological systems within individuals are critical to shaping health trajectories and are dynamically modulated by the complex network structure of individuals' social relationships.

描述（由申请人提供）：治疗和预防疾病以及改善人类健康的能力不仅需要详细了解导致疾病过程的生物系统的复杂相互作用，还需要了解社会复杂性对生物系统影响的潜在机制。发育系统科学方法提供了独特的方法，通过研究社会系统在发育过程中调节生物系统之间相互作用的作用，来阐明社会系统影响健康的机制。拟议的研究采用了这种方法，通过在完善的非人类灵长类动物模型中对多级网络系统随时间的推移进行建模。我们预测个体内部生物系统的协调和调节对于塑造健康至关重要轨迹并受到个体社会关系的复杂网络结构的动态调节。