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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.

项目总结/摘要人际网络对心血管功能很重要;它们不仅是支持的来源，和负担，但也可能是由重大和消极的生活事件产生的心理社会压力，环境虽然许多研究广泛地研究了这些关系，但很少有研究评估数据该联合收割机将广泛和丰富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）和房颤（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，以促进我的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- 我是一名训练有素的公共卫生科学家，专门研究社交网络，我正在寻求更多的培训，心理社会应激理论和心血管病理生理学。我会继续严格的训练和研究在这个奖项期间，将增加有关心理社会压力理论的基本技能和知识，我将CVD测量添加到我现有的工具包中，目的是降低广大人群的CVD发病率。这个奖项的目的是扩大现有的知识如何个人网络影响心血管疾病，阐明了心理社会和生物途径，其中个人网络模式的压力，影响HTN，通常是CVD的第一个临床症状。然而，了解网络特征如何转化为HTN，需要进一步澄清生理和心理社会过程。拟议的研究审查了在个人网络组成中，包括负担和支持的来源，重大生活事件，与HTN相关的环境压力源，目的是获得有关特定个人网络影响心血管疾病风险的机制。这一建议意义重大，因为它将促进对个人网络与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加州大学旧金山分校，这两个世界一流的研究机构有着悠久的合作历史。我会在一个宽阔的一系列的资源，培训机会，并在这两个机构的导师，以获得必要的技能，追求一个研究的职业生涯，结合我以前的背景与新的临床知识的压力和心血管病理生理学这些新的数据，结合独特的队列数据，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写一个R 01来研究个人网络如何可用于降低HTN和CVD的发生率。