Advancing Psychosocial & Biobehavioral Approaches to Improve Emotional Well-Being

项目摘要/摘要 鉴于全球压力水平不断上升，大流行加剧了孤独感和心理健康 问题正在增加，增加了慢性病的负担。大多数以健康为导向的研究都需要 减少危害的方法，找出和减轻问题，以减轻疾病负担。最近的研究表明 证明了更多地关注情绪健康可能会提供另一个关键的策略来减少 疾病负担，并导致人口健康的显著改善。为了推动科学发展并提供 实践的最强有力的证据基础，更大程度上发展研究情绪的研究能力- 存在(EWB)是必要的。情感幸福感的核心要素(EWB)--享乐性、评价性和幸福性-- 与更好的健康寿命相关，并被假设起到因果作用。我们的总体目标是创造 由从事机械干预的科学家组成的具有凝聚力的跨学科网络-相关 关于EWB的研究，特别是关于幸福的研究，以及EWB通向健康的途径 长寿，包括社会关系、积极的生理和健康的行为。我们带来了三个人 EWB科学的领先机构，联合加州大学旧金山分校(Epel，Mendes)，李锦上健康中心和 哈佛大学(Kubzansky)和加州大学伯克利分校(UC Berkeley)(凯尔特纳、西蒙-托马斯)及其跨学科的幸福 Good Science Center(GGSC)，其数字平台每年达到数百万(研究人员， 教育工作者、卫生专业人员)。我们将通过以下方式促进EWB机制研究的创新和进步 培养一个专注于测量和干预的科学界。 我们的目标包括1)促进跨国家队列研究的EWB和健康跨度的分析 在30个属于健康和退休研究家族的国家中，通过协调现有的 EWB的测量(例如，生活满意度、幸福感、积极情感)和支持性因果关系- 推理分析；目的2)通过发展敏感的EWB促进早期干预研究 可增加EWB并推动相关生物行为介体改变的措施和干预措施 包括积极的生理特征，利用现有技术和经过验证的生物传感器来测量 自主神经系统和睡眠；以及目标3)创建和传播有价值的研究资源 用于EWB和身体健康的研究，包括a)使各国的EWB数据统一 公开提供，并提供试点资金和资深科学家的专业知识，以支持调查人员使用 数据；b)创建欧洲银行措施和方法的专家协商一致工具箱；以及c)制定 经验性的EWB干预库(建立在UCB的库基础上)。4年后，EWB 网络将建立强大的研究能力，以创新的统一推动该领域向前发展 模型、共识测量和干预资源以及机械化的试点数据。跨学科 协作将继续产生远远超出网络投入的关键发现。

PROJECT SUMMARY/ABSTRACT Given rising levels of global stress, exacerbated by the pandemic, loneliness and mental health problems are on the rise, adding to the burden of chronic diseases. Most health-oriented research takes a harm-reduction approach, identifying and mitigating problems to reduce disease burden. Recent research has demonstrated that a greater focus on emotional well-being may provide another critical strategy for reducing disease burden and lead to significant improvements in population health. To advance the science and provide the strongest evidence base for practice, greater development of research capacity for studying emotional well- being (EWB) is needed. Core elements of emotional well-being (EWB)--hedonic, evaluative, and eudaimonic-- are associated with better healthspan and are hypothesized to play a causal role. Our overall aim is to create a cohesive transdisciplinary network of scientists engaged in mechanistic intervention-relevant research on EWB, with a specific focus on eudaimonia, and pathways by which EWB leads to healthy longevity, including social connection, positive physiology, and healthy behaviors. We bring together three leading institutions in EWB science, uniting UCSF (Epel, Mendes), Lee Kum Sheung Center for Health and Happiness at Harvard (Kubzansky) and UC Berkeley (Keltner, Simon-Thomas) and its interdisciplinary Greater Good Science Center (GGSC), whose digital platforms reach several millions annually (researchers, educators, health professionals). We will catalyze innovation and progress of mechanistic research on EWB by fostering a scientific community focused on measurement and intervention. Our aims include Aim 1) Facilitating analysis of EWB and healthspan across national cohort studies in 30 nations that are part of the Health and Retirement Study Family of Studies by harmonizing existing measures of EWB (e.g., life satisfaction, eudaimonic well-being, positive affect) and supporting causal- inference analyses; Aim 2) Promoting early stage intervention research by developing sensitive EWB measures, and interventions that can increase EWB and drive change in relevant biobehavioral mediators including positive physiology profiles, leveraging existing technology and validated biosensors that measure autonomic nervous system and sleep; and Aim 3) Creating and disseminating valuable research resources for studies of EWB and physical health, including a) making the harmonized EWB data across countries publicly available and providing pilot funding and senior scientist expertise to support investigator time to use the data; b) creating an expert consensus toolbox of EWB measures and methodology; and c) developing a library of empirically-validated EWB interventions (building on UCB’s repository). After 4 years, the EWB network will have built strong research capacity and catapulted the field forward with innovative unifying models, consensus measurement and intervention resources, and mechanistic pilot data. Transdisciplinary collaborations will continue to generate key findings well beyond the network’s input.