Direct and Mediating Pathways Linking Personal Networks with Cardiovascular Disease

将个人网络与心血管疾病联系起来的直接和中介途径

基本信息

批准号：
10311133
负责人：
Stephanie Child
金额：
$ 3.13万
依托单位：
HARVARD SCHOOL OF PUBLIC HEALTH
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-02-15 至 2021-06-01
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10311133
关键词：
Acute Affect Atrial Fibrillation Award Behavior Control Biological Buffers Cardiac Cardiovascular Diseases Cardiovascular Physiology Cardiovascular system Cause of Death Characteristics Chronic Chronic stress Clinical Clinical Data Collaborations Complex Data Development Disease Pathway Elderly Environment Event Functional disorder Geography Goals Health Heart Atrium Hypertension Incidence Individual Institution Job loss Knowledge Left Life Life Cycle Stages Link Loneliness Longevity Longitudinal Studies Marriage Measurement Mediating Mediation Mentors Mentorship Mission Modeling Participant Pathway interactions Pattern Persons Phenotype Physiological Physiology Plant Roots Play Policies Population Prevalence Primary Prevention Process Psychosocial Stress Public Health Education Recording of previous events Research Research Personnel Resources Risk Risk Factors Role Sampling Scientific Advances and Accomplishments Scientist Secondary Prevention Social Network Source Stress Stressful Event Structure Symptoms Testing Training Translating Trust United States Ventricular Writing acute stress cardiovascular disorder prevention cardiovascular disorder risk cardiovascular health career cohort cost effective crowdsourcing disease phenotype environmental stressor evidence base experience improved member mobile computing mortality perceived stress population health psychological stressor psychosocial psychosocial stressors response skills social social factors stem stress reactivity stressor support network tertiary prevention theories training opportunity young adult

项目摘要

PROJECT SUMMARY/ABSTRACT Personal networks are important for cardiovascular functioning; they not only serve as sources of support and burden, but may also pattern psychosocial stress generated by major and negative life events and the environment. While much research has examined these relationships broadly, few studies have assessed data that combine extensive and rich personal network measurement with clinical indicators of cardiovascular disease (CVD) phenotype, including hypertension (HTN) and atrial fibrillation (AFib), to illuminate potential associations. The primary aim of this award is to provide necessary training and research experience to facilitate my transition to an independent researcher in the field of social networks and cardiovascular health. As a highly- trained public health scientist with specialization in social networks, I am seeking additional training in psychosocial stress theory and cardiovascular pathophysiology. I will pursue rigorous training and research during this award that will add essential skills and knowledge regarding theory of psychosocial stressors and measurement of CVD to my existing toolkit with the aim of lowering rates of CVD across broad populations. The objective of this award is to extend existing knowledge of how personal networks influence CVD by elucidating psychosocial and biological pathways in which personal networks pattern stressors that affect HTN, often the first clinical symptom of CVD. Understanding how network characteristics translate to HTN, however, requires further clarification of physiological and psychosocial processes. The proposed research examines links among personal network composition, including sources of burden and support, significant life events, and environmental stressors in association with HTN with the objective of gaining new knowledge about the specific mechanisms through which personal networks influence CVD risk. This proposal is highly significant because it will advance scientific understanding of complex relationships between personal networks and HTN and AFib. I will achieve these objectives by leveraging two existing longitudinal studies currently being conducted at Berkeley and UCSF, world-class research institutions with a long history of collaboration. I will draw on a broad range of resources, training opportunities, and mentors at both institutions to obtain the necessary skills to pursue a research career that integrates my prior background with new clinical knowledge of stress and cardiovascular pathophysiology. These new proficiencies, combined with unique cohort data highlighting specific associations linking personal networks with HTN and AFib will prepare me to write an R01 to examine how personal networks can be leveraged to lower rates of HTN and CVD.

项目摘要/摘要个人网络对于心血管功能很重要；他们不仅是支持的来源和负担，但也可能会模仿重大和负面生活事件产生的社会心理压力以及环境。尽管许多研究对这些关系进行了广泛的研究，但很少有研究评估了数据将广泛而丰富的个人网络测量与心血管疾病的临床指标相结合（CVD）表型，包括高血压（HTN）和心房颤动（AFIB），以阐明潜在的关联。该奖项的主要目的是提供必要的培训和研究经验，以促进我过渡到社交网络和心血管健康领域的独立研究人员。作为一个高度 - 经过培训的公共卫生科学家，从事社交网络专业化，我正在寻求其他培训社会心理压力理论和心血管病理生理学。我将进行严格的培训和研究在这个奖项中，将增加有关心理压力源理论的基本技能和知识 CVD对我现有的工具包进行测量，目的是降低广泛人群的CVD率。该奖项的目的是扩展有关个人网络如何影响CVD的现有知识阐明心理和生物学途径，其中个人网络模式压力源影响HTN，通常是CVD的第一个临床症状。但是，了解网络特征如何转化为HTN 需要进一步阐明生理和社会心理过程。拟议的研究检查了链接在个人网络组成中，包括负担和支持的来源，重大的生活事件以及与HTN相关的环境压力源，目的是获得有关特定的新知识个人网络影响CVD风险的机制。该提议非常重要，因为它将进步对个人网络与HTN和AFIB之间复杂关系的科学理解。我将通过利用目前正在进行的两项现有纵向研究来实现这些目标在伯克利和UCSF，拥有悠久合作历史的世界一流研究机构。我会汲取广泛的两家机构的资源，培训机会和导师范围，以获取追求必要的技能研究职业将我的先前背景与压力和心血管的新临床知识相结合病理生理学。这些新的能力，结合了独特的队列数据，突出了特定的关联将个人网络与HTN和AFIB联系起来将使我准备编写R01，以检查个人网络如何可以利用降低HTN和CVD的速率。