Sleep disturbance and inhibitory control as proximal predictors of suicidal ideation and behavior: A daily diary and actigraphy study of young adults

项目总结/摘要 自杀是美国18-34岁年轻人死亡的第二大原因。有一个 迫切需要确定临床相关的行为因素，这些因素可以预测不同人群的自杀风险。 人口，以及确定这些因素带来风险的机制。睡眠障碍 被确定为自杀结局的近端风险因素，包括意念和企图。重要的是， 睡眠是可以改变的，这使它成为研究关注的关键焦点。拟定研究将使用每日日志 和腕动记录法来检查睡眠障碍的影响-一种特定的， 年轻人自杀结局的可改变的、直接接近的危险因素--第二天自杀 意念和尝试行为。此外，我们将研究抑制控制作为一个随时间变化的机制 通过这种方式，日常睡眠障碍可能会导致自杀结果的近端风险。我们将实现以下目标： RFA-MH-20-326和NIH战略目标2.2，通过调查RDoC的纵向关系 觉醒和调节系统（结构：睡眠障碍）和认知系统（结构： 抑制控制）在多个分析单位（单位：行为，自我报告，范式）的日常时间尺度 在21天内。这项研究将与一个跨诊断，经济上处于不利地位，高- 不同的年轻人（18-34岁）的风险样本，符合NIH的呼吁，以确定生物标志物，预测 不同人群的自杀结果。

Project Summary/Abstract Suicide is the second leading cause of death among young adults aged 18-34 in the United States. There is an urgent need to identify clinically-relevant behavioral factors that are predictive of suicide risk across diverse populations, as well as to identify the mechanisms through which these factors confer risk. Disturbed sleep has been identified as a proximal risk factor for suicide outcomes, including ideation and attempts. Importantly, sleep is modifiable, making it a critical focus of research attention. The proposed study will utilize daily diary and actigraphy methodologies over 21 days to examine the effects of sleep disturbance—a specific, modifiable, immediately proximal risk factor for suicide outcomes in young adults—on next day suicidal ideation and attempt behavior. In addition, we will examine inhibitory control as a time-varying mechanism through which daily sleep disturbance may confer proximal risk for suicide outcomes. We will fulfill the aims of RFA-MH-20-326 and NIH Strategic Objective 2.2 by investigating longitudinal relationships of the RDoC domains of Arousal and Regulatory Systems (construct: sleep disturbance) and Cognitive Systems (construct: inhibitory control) at multiple units of analysis (units: behavioral, self-report, paradigm) on a daily timescale over a 21-day period. This study will be conducted with a transdiagnostic, economically disadvantaged, high- risk sample of diverse young adults (ages 18-34), consistent with NIH’s call to identify biomarkers that predict suicide outcomes across diverse populations.