Behavioral and Ecological Suicide Tracking: Attention, Interpretation, and Memory

行为和生态自杀追踪：注意力、解释和记忆

基本信息

批准号：
9054168
负责人：
Michael F Armey
金额：
$ 32.93万
依托单位：
BUTLER HOSPITAL (PROVIDENCE, RI)
依托单位国家：
美国
项目类别：
财政年份：
2013
资助国家：
美国
起止时间：
2013-06-20 至 2018-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9054168
关键词：
Address Admission activity Affect Area Attention Awareness Behavior Behavioral Cessation of life Chronic Clinical Cognition Cognitive Cognitive Science Conscious Country Development Ecological momentary assessment Emotional Feeling suicidal Future Health Hospitalization Hospitals Individual Intervention Investigation Laboratories Lead Location Measurement Measures Memory Mental disorders Methodology Methods Participant Patients Procedures Process Protocols documentation Psychiatric Hospitals Public Health Reaction Time Recruitment Activity Reporting Research Resistance Risk Risk Factors Sampling Self Perception Self-Injurious Behavior Social Psychology Suicide Suicide attempt Suicide prevention Technology United States base cognitive process cognitive testing effective therapy falls follow-up high risk indexing novel personalized intervention prevent reducing suicide suicidal behavior suicidal patient suicidal risk suicide rate

项目摘要

DESCRIPTION (provided by applicant): Despite advances in understanding and treating suicidal behavior, suicide rates in this country have not fallen over the last decade. While previous research has identified several risk factors for suicidal behavior, the level of predictio afforded by these variables is inadequate. One major limitation of current risk factors is that the are almost exclusively based on patient report. Unfortunately, the utility of patient report may be compromised by factors such as patient resistance to reporting honestly regarding suicidal ideation and behavior or limited patient self- awareness related to cognitive and experiential risk factors associated with suicide. Recently, two areas of research have shown promise in identifying potent risk factors for suicidal behavior that may address these limitations. First, research in the area of implicit cognitive processes has shown that individuals at-risk for suicide and self-harm behavior have objectively detectable suicide-related associations of which they may not be aware or willing to disclose explicitly. Second, the application of ecological momentary assessment technology to self-harm behavior has produced encouraging results, with two studies indicating that shifts in affectivity, of which patients are largely unaware, are better predictors of future episodes of self-harm than dispositional measures alone. The BEST-AIM study proposes the first, fully powered, investigation of implicit and experiential measures of suicide risk in a high-risk sample of patients admitted to a psychiatric hospital due to significan suicide risk.

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，但该国的自杀率在过去十年中并未下降。虽然之前的研究已经确定了自杀行为的几个危险因素，但这些变量提供的预测水平还不够。当前风险因素的一个主要限制是它们几乎完全基于患者报告。不幸的是，患者报告的效用可能是受到多种因素的影响，例如患者拒绝诚实报告自杀意念和行为，或者患者与认知和体验风险相关的自我意识有限与自杀相关的因素。最近，两个领域的研究显示出在识别自杀行为的潜在危险因素方面有望解决这些局限性。首先，内隐认知过程领域的研究表明，有自杀风险的个体和自残行为具有客观可检测的与自杀相关的关联，但他们可能不知道或不愿意明确披露。其次，生态瞬时评估技术在自残行为中的应用产生了令人鼓舞的结果，两项研究表明，患者基本上没有意识到的情感变化比单独的倾向性测量更能预测未来的自残事件。 BEST-AIM 研究首次提出了对隐性和经验性测量的全面调查。因自杀风险显着而入住精神病院的高风险患者样本中的自杀风险。