Multi-Method Assessment of Emotion Reactivity: Translational Research in Suicide

情绪反应性的多方法评估：自杀的转化研究

基本信息

批准号：
8512794
负责人：
Michael F Armey
金额：
$ 46.18万
依托单位：
BUTLER HOSPITAL (PROVIDENCE, RI)
依托单位国家：
美国
项目类别：
财政年份：
2012
资助国家：
美国
起止时间：
2012-07-17 至 2017-04-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8512794
关键词：
Accounting Acute Admission activity Affect Affective American Behavior Behavioral Biological Caring Cessation of life Chronic Cognition Consensus Country Development Disease susceptibility Distal Educational workshop Emotional Emotions Environment Feeling suicidal Foundations Future Galvanic Skin Response Genes Genetic Genetic Markers Handheld Computers Hospitalization Hospitals Individual Inpatients Intervention Investigation Laboratories Life Life Experience Link Measures Mediating Methodology Methods Modeling Modification National Institute of Mental Health Nature Neurobiology Non-linear Models Personality Traits Phenotype Physiological Population Prevention Procedures Process Psychiatric therapeutic procedure Public Health Relative (related person)Risk Risk Factors Sampling Serotonin Stimulus Strategic Planning Stress Suicide Suicide attempt Suicide prevention System Techniques Technology Assessment Time Translational Research United States Universities accomplished suicide base design emotional experience experience falls heart rate variability ideation in vivo innovation insight neurotrophic factor novel protective effect response stressor suicidal suicidal behavior suicidal risk suicide rate theories therapy development trait

项目摘要

DESCRIPTION (provided by applicant): Although advances have been made towards understanding and treating suicidal behavior, suicide rates in this country have not fallen appreciably over the last decade. One explanation for our limited ability to effectively treat suicidality may be our limited understanding of the phenomenology of suicidality as it occurs in the real world. The proposed study, US-TREAT (Understanding Suicide: Translational Research in Emotional Reactivity Assessment Technology), is the first to apply a combination of multimethod in-hospital assessments and ecological momentary assessment (EMA) procedures post-discharge from inpatient care to model a translational phenotype of emotional reactivity, a clinically- and theoretically-important influence on suicidality, and its prediction of future suicdal ideation and behavior. A sample of 300 individuals hospitalized for suicidal ideation and behavior and 50 non-suicidal psychiatric comparisons will participate in a laboratory paradigm to assess physiological response (i.e., heart rate variability, skin conductance, & startle) to standardized environmental stimuli, EMA of emotional reactivity (i.e., affect, affective valence, and rate of change in affect over time), and genetic biomarkers (e.g. serotonin system, neurotrophins). To better characterize and predict the phenomenology of suicidality, we will use analytical models of cyclical processes (i.e., dynamical systems) to permit non-linear modeling of discrete aspects of emotion (i.e., intensity, rate of affect change, cyclicality, and damping) a influenced by experienced (i.e. EMA assessed) life stressors. The US-TREAT approach will provide critical insight regarding the phenomenology of suicidality with clear treatment implications.

描述（由申请人提供）：尽管在理解和治疗自杀行为方面取得了进展，但该国的自杀率在过去十年中并未明显下降。我们有效治疗自杀的能力有限的一种解释可能是我们对现实世界中发生的自杀现象的理解有限。拟议的研究 US-TREAT（了解自杀：情绪反应评估技术的转化研究）是第一个将多方法住院评估和出院后生态瞬时评估 (EMA) 程序相结合的研究，以模拟自杀情绪反应的转化表型，对自杀的临床和理论上的重要影响，及其对未来自杀意念和行为的预测。 300 名因自杀意念和行为而住院的个体样本以及 50 名非自杀性精神病学比较将参与实验室范式，以评估对标准化环境刺激、情绪反应 EMA 的生理反应（即心率变异性、皮肤电导和惊吓）（即情感、情感效价以及情感随时间的变化率）和遗传生物标志物（例如血清素系统、神经营养素）。为了更好地表征和预测自杀现象，我们将使用循环过程（即动力系统）的分析模型来允许对情绪的离散方面（即强度、情感变化率、周期性和阻尼）进行非线性建模a 受到经历过的（即 EMA 评估的）生活压力因素的影响。 US-TREAT 方法将提供有关自杀现象学的重要见解，并具有明确的治疗意义。