Unpacking Emotion Inflexibility and Prospective Prediction of Affective Disease

解析情绪僵化和情感疾病的前瞻性预测

• 批准号: 10320740
• 负责人: Karin Galiah Coifman
• 金额: $ 53.67万
• 依托单位: KENT STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-04-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10320740
• 关键词: Accidents; Adult; Affect; Affective; Anxiety; Anxiety Disorders; Behavioral; Biological; Categories; Child Abuse and Neglect; Childhood; Clinical; Clinical Sciences; Complex; Country; Derivation procedure; Development; Diagnostic; Dimensions; Disease; Disease Progression; Early Intervention; Economic Burden; Emotions; Epidemic; Equilibrium; Event; Fire - disasters; Health; Health Status; Heritability; Hospitals; Individual; Inherited; Investigation; Life; Life Stress; Longevity; Mental Depression; Mental Health; Mental disorders; Methodology; Methods; Modeling; Mood Disorders; National Institute of Mental Health; Nature; Participant; Pathway interactions; Patients; Pattern; Phenotype; Post-Traumatic Stress Disorders; Prevalence; Process; Psychiatric therapeutic procedure; Psychological adjustment; Qualifying; Recording of previous events; Regulation; Research; Research Domain Criteria; Risk; Risk Adjustment; Risk Factors; Role; Sampling; Shapes; Sleep disturbances; Social support; Societies; Statistical Models; Strategic Planning; Stress; Stressful Event; Symptoms; System; Testing; Time; Unipolar Depression; Variant; Violence; Work; base; childhood adversity; clinical diagnostics; clinically relevant; cognitive control; emotion regulation; experience; flexibility; improved; in vivo; indexing; laboratory experience; longitudinal design; machine learning method; negative mood; network models; physical conditioning; post-traumatic stress; prospective; psychologic; public health relevance; recruit; response; rumination; social; stress disorder; tool; traumatic event

PROJECT ABSTRACT/SUMMARY The prevalence of psychiatric disorders has reached nearly epidemic proportions. Rates of common affective diseases (unipolar depression, anxiety and stress disorders) are high across the lifespan and these diseases place a tremendous social and economic burden on the individual and society. Clear evidence indicates that most affective disorders emerge at the intersection of pre-existing vulnerability and significant, highly stressful, life-events. However, current models of emotion-related risk do not adequately account for this confluence of biological, historical, and situational factors. In this investigation, we build upon our prior work demonstrating broad associations between flexible emotion processing and psychological health and adjustment, and in-flexible emotion and psychological risk and affective disease. Specifically, we will recruit 400 adults in hospital following a potentially traumatic event (e.g., accident, violence, fire, etc.) in order to model the influence of early emotion processing on trajectories of adjustment. We focus our investigation on the super-ordinate construct of Emotion flexibility (EF) which encompasses the ability to generate or up-regulate emotions, as well as to shift or down-regulate emotions according to needs and/or environmental demands. EF is well-suited to inform models of emotion-related risk and adjustment as it characterizes an optimal balance of two biologically-based, constituent dimensions: “bottom-up” threat-related processing and “top-down” cognitive control increasingly recognized as central to all emotion processing. We propose rigorous methods to assess EF and related processing in-vivo in lab and via experience sampling. Moreover, we will follow participants to 18 months post event so as to effectively model the association between emotion processing and trajectories of adjustment, while also considering established influences such as physical health status, psychiatric history, childhood maltreatment, daily stress/hassles, and social support. In particular, we will incorporate recent developments in advanced statistical modelling to better characterize the complex and interactive influence of historical and contemporary factors on moment-level emotion processing, EF and adjustment. Broadly, this project is in line with the most recent NIMH strategic plan and will contribute to more complex models of the most common affective diseases, including facilitating the charting of illness trajectories to help determine when, where, and how to intervene. Moreover, this research will directly examine how variation in key systems can influence emotion-processing and adjustment to aversive life events, fitting complex influences more directly into models of risk for the most common and burdensome affective diseases.

项目摘要/总结 精神疾病的患病率已接近流行病 比例。常见情感疾病（单相抑郁、焦虑和应激障碍）的发病率很高 这些疾病在整个生命周期中给个人和家庭带来巨大的社会和经济负担 社会。明确的证据表明，大多数情感障碍出现在先前存在的情感障碍的交叉点上。 脆弱性和重大的、压力很大的生活事件。然而，当前的情绪相关风险模型确实 没有充分考虑生物、历史和情境因素的这种融合。在本次调查中， 我们以之前的工作为基础，展示了灵活的情绪处理和 心理健康与调节、情绪不灵活和心理风险以及情感疾病。 具体来说，我们将招募 400 名在发生潜在创伤事件（例如事故、 暴力、火灾等），以模拟早期情绪处理对调整轨迹的影响。 我们的研究重点是情绪灵活性（EF）的高级结构，其中包括 产生或上调情绪的能力，以及根据需要改变或下调情绪的能力 和/或环境要求。 EF 非常适合为情绪相关风险和调整模型提供信息，因为它 描述了两个基于生物学的构成维度的最佳平衡：“自下而上”的威胁相关 处理和“自上而下”的认知控制越来越被认为是所有情绪处理的核心。我们 提出严格的方法来在实验室中通过经验采样评估 EF 和相关体内处理。 此外，我们将跟踪参与者至活动后 18 个月，以便有效地模拟协会 情绪处理和调整轨迹之间的关系，同时还考虑既定的影响，例如 如身体健康状况、精神病史、童年虐待、日常压力/麻烦和社会支持。 特别是，我们将结合先进统计模型的最新发展，以更好地表征 历史和当代因素对瞬间情绪的复杂互动影响 处理、EF 和调整。总体而言，该项目符合 NIMH 的最新战略计划，并将 有助于建立最常见情感疾病的更复杂模型，包括促进绘制图表 疾病轨迹，帮助确定何时、何地以及如何进行干预。此外，这项研究将直接 研究关键系统的变化如何影响情绪处理和对厌恶生活的调整 事件，将复杂的影响更直接地融入到最常见和最繁重的风险模型中 情感疾病。