Advancing Psychosocial and Biobehavioral Stress Measurement to Understanding Aging

推进心理社会和生物行为压力测量以了解衰老

• 批准号: 10683975
• 负责人: Elissa S. Epel
• 金额: $ 39.95万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-30 至 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10683975
• 关键词: Acceleration; Acute; Address; Affect; Affective; Age; Aging; Area; Articulation; Basic Science; Behavior Control; Behavioral Mechanisms; Big Data; Biological; Blood Pressure; Chronic; Chronic stress; Cognitive; Cohort Studies; Complex; Consensus; Consultations; Country; Data; Development; Dimensions; Disease; Ecological momentary assessment; Educational workshop; Epidemiology; Expert Opinion; Exposure to; Family Study; Funding; Grant; Health; Health Promotion; Health and Retirement Study; Human; Impaired health; Incubators; Individual; Individual Differences; International; Intervention; Knowledge; Language; Lead; Leadership; Life; Life Cycle Stages; Life Experience; Life Stress; Link; Longevity; Measurement; Measures; Medicine; Mentors; Methods; Modeling; Onset of illness; Pathway interactions; Phase; Physiological; Play; Policies; Process; Psyche structure; Psychological Manipulation; Psychological Models; Psychological Stress; Psychosocial Stress; Publications; Publishing; R24; Recovery; Reporting; Research Personnel; Resources; Retirement; Risk Factors; Role; Sampling; Science; Scientist; Shapes; Stress; Stress Tests; Stressful Event; Testing; Theoretical model; Training; Typology; United States National Institutes of Health; Work; acute stress; behavior change; biobehavior; biological adaptation to stress; comparison control; contextual factors; data harmonization; early life stress; epidemiological model; epidemiology study; experience; experimental study; heart rate variability; improved; indexing; innovation; interest; large scale data; lens; life history; mobile computing; mortality; multilevel analysis; novel strategies; podcast; population health; prevent; psychologic; psychosocial; recruit; research study; response; social; social stress; sociodemographics; stress management; stress reactivity; stressor; theories; tool; trait

PROJECT SUMMARY Strong epidemiological evidence demonstrates that chronic psychological stress predicts earlier disease onset and mortality. However, there are several critical barriers that have prevented progress in the epidemiological study of stress as a risk factor for disease. Stress measurement is inherently complex and multi-level (social, psychological, physiological), is typically inconsistent and superficial, and does not capture daily stress processes or include non-self- report measures of stress or stress vulnerability. Meanwhile, there have been advances in the basic science of stress processes, which have helped unpack and define the cognitive, affective, and physiological responses to acute and chronic stress, and advances in granular measures of daily stress through ecological momentary assessments. Thus, stress science could be greatly accelerated by grounding in a multilevel model and enhancing measurement using these novel approaches. In our first cycle of the R24 Stress Measurement Network, we addressed these issues through accomplishing three aims (detailed in Past Accomplishments). 1) We published a transdisciplinary multi-level model of stress and aging that incorporates contextual factors, daily level processes, and physiological responses1; 2) We created a Stress Typology to enhance conceptualization and language of stress; and 3) We developed a Measurement Toolbox for consensus-based best validated measures. Lastly, we completed the harmonization of variables for numerous types of stress experiences across ten national epidemiological studies in partnership with the Gateway to Global Aging data harmonization initiative. We can now support researchers interested in questions related to cross-national associations among stress, aging, and health. With this foundational work, we are ideally poised to improve these products and their use in the field and develop a new set of innovative products. The proposed continuation of the network will rely on our UCSF leadership team, continuing and new scientific advisors who are experts in the area of both stress and aging, and early stage investigators who we will support as they increase their knowledge of best practices in stress measurement. Further, we will reach broadly to recruit excellent scientists to help complete the new aims, which requires deep engagement of interdisciplinary fields of population health. Our new aims will test aspects of the multi-level model. These include: 1) Initiate use of newly available harmonized stress data across 10 epidemiological cohort studies to examine cross-national associations; 2) Develop and test new measures of psychological stress, with a focus on non-self-report measures of stress vulnerability based on basic experimental research; Expand the measurement toolbox to include methods for assessing physiological indices of stress, and disseminate best practices in stress measurement; and 3) Using large scale datasets, validate daily and ecological momentary assessments of stress, and test how various psychological or behavioral manipulations alter daily psychological and autonomic stress responses. Improved stress measurement tools offer tremendous opportunities for discovering and advancing the field of basic research, enhancing the efficacy of health promotion interventions, and policies that impact social stress.

项目摘要 有力的流行病学证据表明，慢性心理压力预测早期的疾病发作和 死亡。但是，有几个关键障碍阻止了压力的流行病学研究 作为疾病的危险因素。压力测量本质上是复杂和多层次的（社会，心理学， 生理学），通常是不一致和表面的，不会捕获每日压力过程或包括非自我 报告压力或压力脆弱性的度量。同时，压力的基本科学已经取得进步 过程有助于解开并定义对急性和慢性的认知，情感和生理反应 压力，以及通过生态瞬时评估日常压力的颗粒状测量。因此，压力科学 可以通过在多级模型中接地并使用这些新颖的方法来加速测量 方法。 在R24应力测量网络的第一个周期中，我们通过完成三个目标解决了这些问题 （在过去的成就中详细介绍）。 1）我们发表了一个跨学科的压力和衰老模型 结合上下文因素，每日水平过程和生理反应1； 2）我们创建了一个压力类型学 增强压力的概念化和语言； 3）我们开发了一个测量工具箱，用于基于共识的最佳 经过验证的措施。最后，我们完成了各种压力体验的变量的协调 十项国家流行病学研究与通往全球老化数据协调计划的门户合作。我们 现在可以支持对与压力，衰老和健康之间有关的问题感兴趣的研究人员。 有了这项基础工作，我们理想地准备改善这些产品及其在现场的使用，并开发新的产品 一套创新产品。拟议的网络延续将依靠我们的UCSF领导团队，继续 以及在压力和衰老领域的专家，以及我们将会的新科学顾问，以及我们将会 在增加压力测量方面的最佳实践知识时，支持他们的支持。此外，我们将广泛地招募 优秀的科学家帮助完成新目标，这需要深入跨学科领域的参与 人口健康。我们的新目标将测试多层模型的各个方面。其中包括：1）启动新的使用 在10个流行病学队列研究中可用的统一应力数据，以检查跨国关联； 2）制定和测试心理压力的新措施，重点是非自我报告的压力措施 基于基本实验研究的脆弱性；扩展测量工具箱以包括 评估压力的生理指标，并在压力测量中传播最佳实践； 3）使用大 比例数据集，验证压力的日常和生态瞬时评估，并测试各种心理或如何 行为操纵改变了日常的心理和自主压力反应。改善应力测量 工具为发现和发展基础研究领域提供了巨大的机会，从而增强了 健康促进干预措施以及影响社会压力的政策。