Multimodal Dynamics of Parent-child Interactions and Suicide Risk

亲子互动和自杀风险的多模态动力学

• 批准号: 10510227
• 负责人: Taylor A Burke
• 金额: $ 27.83万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-08 至 2024-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10510227
• 关键词: Acoustics; Acute; Address; Adolescent; Arousal; Automation; Behavior; Behavioral; Biological Markers; Charge; Child; Clinical; Computer Models; Computer Vision Systems; Conflict (Psychology); Cues; Detection; Development; Emotional; Enrollment; Eyebrow structure; Failure; Family; Feeling suicidal; Foundations; Goals; Head; Hospitalization; Hospitalized Adolescent; Intervention; Knowledge; Life Stress; Machine Learning; Maintenance; Measurement; Mental Health; Methodology; Methods; Modeling; National Institute of Mental Health; Nature; Outcome; Parent-Child Relations; Parents; Patient Self-Report; Pattern; Population; Process; Public Health; Reporting; Research; Research Domain Criteria; Risk; Risk Assessment; Sampling; Social Processes; Stress; Suicide; Suicide attempt; Suicide prevention; Time; Visual; Voice; Voice Quality; adolescent suicide; age group; clinical decision-making; clinically significant; design; dyadic interaction; experience; high risk; improved; indexing; innovation; inpatient service; meetings; multimodality; negative affect; novel; predictive modeling; primary caregiver; prospective; social determinants; speech processing; stressor; suicidal adolescent; suicidal behavior; suicidal risk; suicide rate; tool; translational goal

Suicide continues to be a growing public health concern. Indeed, suicide rates have increased 33% since 1999. This concern has been particularly pronounced in the case of adolescents, as the suicide rates in this age group have tripled over the last 10 years. Clarifying potential processes of risk for suicidal behavior in this population therefore remains a pressing priority. Increasing theoretical and empirical focus has been devoted to the conceptualization of acute suicidal risk as being a period of elevated arousal. Stress within parent-child relationship dynamics may hold particular importance for understanding adolescents' proximal risk for suicidal behavior. However, all past studies examining parent-child relationship stress and suicidal behavior have used self-report methodologies and/or retrospective recall. Although studies employing these methodologies provide important knowledge about the association between life stress and mental health outcomes, they are not designed to characterize the interpersonal dynamics of these stressors as they unfold over time, which may be particularly relevant to short-term suicide risk. Recent advances in computational approaches to automatic sensing of acoustic and visual behaviors hold promise to address the need for clarifying indices of arousal in parent-child dynamics associated with adolescent suicide risk. A novel method to assess familial stress processes is through the automated assessment of synchrony, or the behavioral matching, of arousal between adolescents and their parents. In healthy parent-child dyads, parents and adolescents are responsive to each other's behavioral and emotional cues. However, during high stress or conflict, behavioral matching may be a marker of a high-risk interaction pattern inasmuch as it may be indicative of high arousal maintenance or escalation. Focusing on the RDoC constructs of arousal and social processes, the current R21 proposal aims to leverage recent developments in automated sensing of acoustic and visual behavior to characterize synchrony within the dynamics of a parent-child conflict task in a sample of psychiatrically hospitalized adolescents (n = 100) and their parents. The current study aims to evaluate whether acoustic and visual behavioral markers of arousal synchrony, respectively, are associated with prospective suicidal ideation three months post-discharge. We also aim to pool acoustic and visual behavioral markers of parent-child arousal synchrony through computational modeling to create a multimodal prediction model for prospective suicidal ideation, thereby to advance beyond unimodal analysis to multimodal analysis in classifying suicide risk. This R21 is intended as an initial step toward automating the assessment of parent-child arousal synchrony within clinical contexts to inform clinical decision-making and interventions. This proposal has both scientific and clinical significance because it is the first study to employ computational automation of acoustic and visual markers of suicide risk at the dyadic level and has the potential directly to inform adolescent suicide risk assessment and intervention.

自杀仍然是一个日益增长的公共卫生问题。确实，自自杀率增加了33％以来 1999年。在青少年的情况下，这种担忧特别明显，因为这是自杀率 在过去的10年中，年龄段增加了两倍。澄清这在此中的自杀行为风险的潜在过程 因此，人口仍然是紧迫的优先事项。越来越多的理论和经验重点已投入 将急性自杀风险的概念化为唤醒时期。亲子内的压力 关系动态对于理解青少年自杀的近端风险可能特别重要 行为。但是，所有检查亲子关系压力和自杀行为的研究都使用了 自我报告方法和/或回顾性召回。尽管采用这些方法提供的研究提供了 关于生活压力与心理健康成果之间关联的重要知识，不是 旨在表征这些压力源随着时间而展开的人际动态，这可能是 与短期自杀风险特别相关。自动计算方法的最新进展 传感声学和视觉行为有望满足澄清唤醒指标的需求 与青少年自杀风险相关的亲子动态。一种评估家族压力的新方法 过程是通过对同步的自动评估或行为匹配的自动评估。 青少年和他们的父母。在健康的亲子二元组中，父母和青少年对每个人都有反应 他人的行为和情感提示。但是，在高压力或冲突期间，行为匹配可能是 高风险相互作用模式的标记可能表明高唤醒维护或 升级。重点关注唤醒和社会过程的RDOC结构，R21提案的目的 利用声学和视觉行为的自动感应中的最新发展来表征 在精神病住院的样本中，在亲子冲突任务的动态中同步 青少年（n = 100）及其父母。当前的研究旨在评估声学和视觉 唤醒同步的行为标志物分别与前瞻性自杀意念有关 入院后几个月。我们还旨在填充亲子唤醒的声学和视觉行为标记 通过计算建模同步，为前瞻性自杀创建多模式预测模型 构想，从而超越单峰分析到自杀风险分类的多模式分析。这 R21旨在作为自动化评估亲子唤醒同步的第一步 临床背景，以告知临床决策和干预措施。该提议既有科学，又有 临床意义是因为这是首次采用声学和视觉的计算自动化的研究 自杀风险标记在二元级别，并有可能直接告知青少年自杀风险 评估和干预。