Intensive longitudinal study of suicidal behaviors and related health outcomes

项目总结/摘要 在过去的100年里，许多主要的死亡原因已经显著下降（例如，肺结核， 肺炎/流感，胃炎）;然而，自杀率几乎与100年前相同。缺乏 在预防自杀方面进展缓慢，在很大程度上是由于对这个问题的认识有限。自杀 思想和行为（STB），像其他行为问题（例如，酒精使用，物质使用，饮食 疾病），很少发生在研究实验室，在那里他们可以仔细探测，不能道德诱导 在实验室里因此，专家们对机顶盒的基本特性以及如何、为什么、 当它们在自然界中展开时。本研究的目的是通过使用新的 开发了智能手机和可穿戴生物传感器技术，以进行深入的纵向研究， 促进对STB及其相关行为的理解和预测。这项研究将监测600人 (300成年人和300名青少年）的STBs风险升高（即，那些到精神病医院就诊的人， 自杀意念和/或最近的自杀企图）（即，住院后）。的 本研究的第一个目的是使用主动/主观收集的数据识别STB的数字表型， 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， 加速度计、通信数据）和可穿戴生物传感器（例如，皮肤电活动、加速度计）。 第二个目标是绘制STB随时间的动态轨迹。第三个目标是确定短期 出院后6个月内STB的预测因素。拟议小组正在进行的研究 证明了以下方法的可行性：招募和保留拟议的样本， 时间使用数字设备，并使用这些丰富的数据流的分析，以发现机顶盒如何 和相关的行为在自然界中展开。本研究收集的数据将提供丰富的数据源， 我们的研究团队和合作研究人员使用，以促进理解，预测，并最终 预防性传播疾病和相关结果。

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.