Intensive longitudinal study of suicidal behaviors and related health outcomes

项目摘要/摘要 许多主要死因在过去100年里显著下降(例如，结核病， 肺炎/流感、胃炎)；然而，自杀率与100年前几乎相同。缺欠 在预防自杀方面取得的进展在很大程度上是由于对这一问题的了解有限。有自杀倾向 思想和行为(STB)，与其他行为问题(如饮酒、药物使用、进食)一样 精神障碍)，很少发生在研究实验室，在那里他们可以被仔细地探测，并且不能被伦理地诱导 在实验室里。因此，专家们缺乏对STB的基本属性以及如何、为什么 当它们在自然界中展开时。这项研究的目的是解决这一巨大的差距，通过使用新的 开发智能手机和可穿戴生物传感器技术，进行密集的纵向研究，将 促进对STB及相关行为的理解和预测。这项研究将监测600人 (300名成人和300名青少年)性传播疾病风险较高(即那些到精神病院就诊的人 自杀意念和/或最近的自杀企图)在高危时期(即住院后)。这个 这项研究的第一个目的是使用收集的数据识别机顶盒的数字表型，这些数据既主动/主观地使用 重复的智能手机调查和被动/客观地使用来自智能手机的连续数据(例如，GPS， 加速计、通信数据)和可穿戴生物传感器(例如，皮肤电活动、加速计)。 第二个目标是绘制随时间推移的STB的动态轨迹。第三个目标是确定短期 出院后6个月性传播疾病的预测因素。拟议团队正在进行的研究 论证了以下方面的可行性：招募和保留建议的样本，对其进行密集监测 时间使用数字设备，并使用对这些丰富数据流的分析来发现STB如何 相关的行为在自然界中展开。这项研究中收集的数据将提供丰富的数据源， 由我们的研究团队和协作研究人员使用，以促进理解、预测和最终 预防性传播疾病及相关结果。

PROJECT SUMMARY/ABSTRACT Many leading causes of death have declined significantly over the past 100 years (e.g., tuberculosis, pneumonia/influenza, gastritis); however, the suicide rate is virtually identical to what it was 100 years ago. Lack of progress in the prevention of suicide is due in large part to the limited understanding of this problem. Suicidal thoughts and behaviors (STBs), like other behavior problems (e.g., alcohol use, substance use, eating disorders), rarely occur in the research lab where they can be carefully probed and cannot be ethically induced in the lab. As a result, experts lack a firm understanding of the fundamental properties of STBs, and of how, why, and when they unfold in nature. The purpose of this study is to address this enormous gap by using newly developed smartphone and wearable biosensor technologies to conduct an intensive longitudinal study that will advance the understanding and prediction of STBs and related behaviors. This study will monitor 600 people (300 adults and 300 adolescents) at elevated risk of STBs (i.e., those presenting to a psychiatric hospital with suicide ideation and/or a recent suicide attempt) during a high risk time period (i.e., post-hospitalization). The first aim of this study is to identify digital phenotypes of STBs using data collected both actively/subjectively using repeated smartphone surveys and passively/objectively using continuous data from smartphones (e.g., GPS, accelerometer, communications data) and wearable biosensors (e.g., electrodermal activity, accelerometer). The second aim is to map the dynamic trajectories of STBs over time. The third aim is to identify short-term predictors of STBs during the 6 months post-hospital discharge. Ongoing research by the proposed team demonstrates the feasibility of: recruiting and retaining the proposed samples, intensively monitoring them over time using digital devices, and using analyses of these rich data streams to make discoveries about how STBs and related behaviors unfold in nature. The data collected in this study will provide a rich data source that will be used by our research team and collaborative researchers to advance the understanding, prediction, and ultimate prevention of STBs and related outcomes.