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

基本信息

批准号：
10700982
负责人：
Taylor A Burke
金额：
$ 20.24万
依托单位：
MASSACHUSETTS GENERAL HOSPITAL
依托单位国家：
美国
项目类别：
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/10700982
关键词：
Acoustics Acute Address Adolescent Arousal Automation Behavior Behavioral Biological Markers Charge Child Classification 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 Research Priority 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

项目摘要

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严重的公共卫生问题。事实上，自杀率自此以来增加了 33% 1999 年。这一问题在青少年中尤为明显，因为青少年的自杀率过去 10 年里，这个年龄段的人增加了两倍。澄清自杀行为风险的潜在过程因此，人口仍然是一个紧迫的优先事项。越来越多的理论和实证焦点被投入将急性自杀风险概念化为觉醒程度升高的时期。亲子间的压力关系动态对于了解青少年自杀的近期风险可能特别重要行为。然而，过去所有研究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/或回顾性回忆。尽管采用这些方法的研究提供了关于生活压力和心理健康结果之间关系的重要知识，它们不是旨在描述这些压力源随着时间的推移而展开的人际动态，这可能是与短期自杀风险尤其相关。自动计算方法的最新进展听觉和视觉行为的感知有望满足澄清唤醒指数的需求亲子动态与青少年自杀风险相关。评估家庭压力的新方法过程是通过对同步性或行为匹配的自动评估来实现的青少年及其父母。在健康的亲子二人组中，父母和青少年都会对彼此做出反应他人的行为和情感暗示。然而，在高压或冲突期间，行为匹配可能是一个高风险互动模式的标志，因为它可能表明高唤醒维持或升级。目前的 R21 提案重点关注唤醒和社会过程的 RDoC 结构利用声学和视觉行为自动传感的最新发展来表征精神病院住院样本中亲子冲突任务动态的同步性青少年 (n = 100) 及其父母。当前的研究旨在评估听觉和视觉是否唤醒同步的行为标记分别与预期自杀意念相关3 出院后几个月。我们还旨在汇集亲子唤醒的听觉和视觉行为标记通过计算建模同步创建潜在自杀的多模态预测模型构想，从而在自杀风险分类方面超越单模态分析进入多模态分析。这 R21 旨在作为自动化评估亲子唤醒同步性的第一步临床背景为临床决策和干预提供信息。这个建议既具有科学性又具有临床意义，因为这是第一项采用声学和视觉计算自动化的研究二元层面的自杀风险标志，有可能直接告知青少年自杀风险评估和干预。