Passive Assessment of Behavioral Warning Signs for Suicide Risk in Adolescents: An Idiographic Approach

青少年自杀风险行为警告信号的被动评估：一种具体方法

• 批准号: 10433042
• 负责人: Taylor A Burke
• 金额: $ 11.42万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-04-01 至 2026-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10433042
• 关键词: Acute; Adolescent; American; Behavior assessment; Behavioral; Cause of Death; Cellular Phone; Complement; Data Sources; Detection; Distal; Environment; Event; Failure; Feeling suicidal; Foundations; Future; Goals; Hospitalization; Hospitals; Individual; Influentials; Inpatients; Intervention; Interview; Knowledge; Measurement; Measures; Mentorship; Methodology; Methods; Modeling; Movement; National Institute of Mental Health; Participant; Pathway Analysis; Patient Self-Report; Pattern; Persons; Physical activity; Positioning Attribute; Process; Reinforcing Factor; Research; Research Design; Research Training; Resources; Rhode Island; Risk; Risk Assessment; Risk Behaviors; Risk Factors; Science; Sleep; Structure; Suicide; Suicide attempt; Suicide prevention; Surveys; Symptoms; System; Technology; Teenagers; Text; Time; Training; Universities; Youth; actigraphy; adolescent suicide; base; career; data modeling; density; digital; digital health; follow-up; high-risk adolescents; improved; indexing; innovation; insight; medical schools; neglect; network models; personalized intervention; programs; psychologic; recruit; reducing suicide; sensor; social engagement; social media; suicidal adolescent; suicidal behavior; suicidal risk; suicide rate; theories; therapy development; unsupervised learning

PROJECT SUMMARY/ABSTRACT Suicide is the second leading cause of death among adolescents and the rates have doubled since 2000. The rise in suicide rates is due in part to a failure to identify short-term risk factors for suicidal thoughts and behaviors. Additionally, most existing research relies primarily on group-level methodological approaches to suicide risk assessment; intraindividual suicide risk processes are largely neglected. Because of the lack of knowledge on short-term and individual-level suicide risk, it remains unclear when and how to intervene with the individual adolescents who need it most. Three particularly promising observable, state-sensitive, temporally delimited, and modifiable proximal indicators of suicide risk among adolescents are social engagement, sleep, and physical activity. Although acute changes in these behavioral processes are often denoted as imminent “behavioral warning signs” of suicide, most existing research has examined these behavioral factors only as distal predictors and correlates of suicide risk. Importantly, their contribution to short- term risk using individual-level approaches (i.e., fully idiographic, “n-of-1” methods) remains unknown. The Candidate’s proposed K23’s overarching goal is to employ mobile sensing and actigraphy to assess whether objectively and passively measured acute behavioral changes from typical patterns of social engagement, sleep, and physical activity indicate proximal risk for increases in suicidal ideation using idiographic n-of-1 models in high-risk adolescents. It further aims to characterize the intraindividual network structure of these behavioral factors and suicidal ideation to enhance suicide risk assessment and guide intervention. Adolescents (N=100) admitted to an inpatient or partial hospital program due to acute suicide risk will be recruited. For a period of 3 months, wearable actigraphs will be used to assess adolescents’ sleep and physical activity and mobile sensing will be used to assess adolescents’ digital social engagement and patterns of movement to approximate additional indices of physical activity. Once-daily mobile surveys will be used to assess suicidal ideation. The proposed training plan complements the Candidate’s research plan and will facilitate training in: conducting translational digital health research in high-risk adolescents, passive mobile sensing, passive adolescent sleep and physical activity assessment via actigraphy, and advanced computational approaches to person-specific intensive data modeling. A team of leading scholars will provide expert mentorship to facilitate the Candidate’s training goals within the highly resourced environment of the Alpert Medical School of Brown University and Rhode Island Hospital. The proposed study will promote the Candidate’s long-term career goal to employ low-burden and scalable methods of assessment to develop personalized risk models that will improve the proximal prediction of suicide risk and inform intervention for youth. Through the execution of this research and training plan, the Candidate will be positioned to become a leader in the field of adolescent suicide.

项目摘要/摘要 自杀是青少年死亡的第二大原因，自2000年以来，这一比例翻了一番。这个 自杀率上升的部分原因是未能识别自杀念头的短期风险因素和 行为。此外，大多数现有研究主要依赖于小组级别的方法论方法来 自杀风险评估；个体内部的自杀风险过程在很大程度上被忽视。因为缺少 了解短期和个人层面的自杀风险，何时以及如何进行干预仍不清楚 最需要它的青少年个体。三个特别有希望的可观察的，国家敏感的， 青少年自杀风险的时间界定的和可修改的近端指标是社会性的 参与、睡眠和体力活动。尽管这些行为过程中的急剧变化通常是 被称为自杀的迫在眉睫的“行为警告信号”，大多数现有的研究已经检查了这些 行为因素仅作为自杀风险的远端预测和相关因素。重要的是，他们对做空的贡献- 使用个人层面的方法(即完全具体的“n-of-1”方法)的期限风险仍然未知。这个 候选人提出的K23 S的总体目标是使用移动传感和动作图来评估 从典型的社会参与模式中客观和被动地测量急性行为变化， 睡眠和体力活动使用具体的n-of-1显示自杀意念增加的近端风险 高危青少年的模特。它还旨在描述这些公司的个人内部网络结构 行为因素和自杀意念，加强自杀风险评估和指导干预。 因急性自杀风险进入住院或部分医院计划的青少年(N=100)将 被招募了。在为期3个月的时间里，可穿戴式活动记录仪将用于评估青少年的睡眠和 将使用身体活动和移动感知来评估青少年的数字社交参与和模式 运动，以近似额外的体力活动指数。将使用每日一次的移动调查来 评估自杀意念。拟议的培训计划是对候选人研究计划的补充，并将 促进培训：在高危青少年中进行翻译性数字健康研究，被动移动 感知、被动青少年睡眠和通过动作图进行体力活动评估，以及 针对特定人的密集数据建模的计算方法。一支由领先学者组成的团队将提供 专家指导，以促进候选人在资源丰富的环境中的培训目标 布朗大学阿尔伯特医学院和罗德岛医院。拟议的研究将促进 应聘者的长期职业目标是采用低负担和可扩展的评估方法来发展 个性化风险模型将改善自杀风险的近端预测，并为干预提供信息 青春年华。通过执行这项研究和培训计划，候选人将被定位为 青少年自杀领域的领导者。