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：
8840658
负责人：
Michael F Armey
金额：
$ 48.76万
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 2016-02-29
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8840658
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 Ecological momentary assessment 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 Public Health Relative (related person)Research Domain Criteria Risk Risk Factors Sampling Serotonergic System Stimulus Strategic Planning Suicide Suicide attempt Suicide prevention System Techniques Technology Technology Assessment Time Translational Research United States Universities accomplished suicide base design emotional experience experience falls heart rate variability ideation in vivo innovation inpatient psychiatric treatment insight neurotrophic factor novel phenomenological models protective effect response stress reactivity 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步，但在过去十年中，该国的自杀率并未明显下降。关于我们有限的有效治疗自杀能力的有限能力的一种解释可能是我们对现实世界中自杀现象学现象学的有限理解。拟议的研究，美国治疗（理解自杀：情绪反应性评估技术中的翻译研究），是第一个采用多途径内部评估和生态瞬时评估（EMA）的组合，从患者护理中进行了分期，以模拟各种临床反应性的转化表型，并在临床上和理论上的影响，并在临床上的影响，并在临床上构成了影响，并在临床上构成了这种影响。和行为。 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. 5-羟色胺系统，神经营养蛋白）。为了更好地表征和预测自杀性的现象学，我们将使用周期性过程的分析模型（即动态系统）来允许对情绪离散方面的非线性建模（即受到经验的影响，即EMA评估）生命压力的影响（即，强度，情感变化，周期性变化速率，周期性和阻尼）。美国治疗的方法将提供有关自杀现象学的关键见解，并具有明显的治疗意义。