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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：
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
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/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

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，自那以后，自杀率上升了33%