Examining Suicide Risk from a Biopsychosocial Framework: A Large-Scale Cross-Sectional Study

从生物心理社会框架审视自杀风险：一项大规模横断面研究

• 批准号: 10537739
• 负责人: Matthew Thompson
• 金额: $ 2.52万
• 依托单位: HENRY M. JACKSON FDN FOR THE ADV MIL/MED
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-15 至 2023-06-09
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10537739
• 关键词: Address; Adult; Algorithms; Anisotropy; Area; Behavior; Behavioral; Biological; Brain; Cross-Sectional Studies; Data; Data Set; Detection; Differentiation Antigens; Educational workshop; Feeling suicidal; Functional Magnetic Resonance Imaging; Generations; Genes; Genetic; Goals; Individual; Intervention; Investments; Lateral; Logistic Regressions; Machine Learning; Mental Depression; Mentorship; Methodology; Modeling; National Institute of Mental Health; National Research Service Awards; Participant; Prefrontal Cortex; Principal Investigator; Psychosocial Factor; Public Health; Questionnaires; Recording of previous events; Research; Research Personnel; Research Priority; Research Training; Rest; Risk; Role; Sampling; Schizophrenia; Self-Direction; Series; Structure; Suicide; Suicide attempt; Suicide prevention; Supervision; Symptoms; Technical Expertise; Thinking; Training; Training Programs; Trauma; United Kingdom; Violence; Writing; adverse childhood events; anxiety symptoms; behavioral disinhibition; big biomedical data; biobank; biopsychosocial; candidate marker; career; classification algorithm; demographics; depressive symptoms; gray matter; ideation; imaging genetics; improved; individualized medicine; multimodal neuroimaging; multimodality; neuroimaging; polygenic risk score; programs; psychosocial; skills; statistics; study population; suicidal; suicidal behavior; suicidal morbidity; suicidal risk; symposium; trend; white matter

PROJECT SUMMARY/ABSTRACT Suicide remains a significant public health crisis nationally and globally. Suicide-related thoughts and behaviors are transdiagnostic phenomena associated with heterogeneous biopsychosocial risk indicators. Findings suggest that suicide risk is associated with distinct resting-state functional connectivity, structural brain differences, and polygenetic risk score (PRS) profiles. There are notable gaps in our understanding of biopsychosocial vulnerabilities for suicide. The first research gap involves a lack of in-depth understanding of candidate markers for differentiating between individuals who only think about self-directed violence versus those who ultimately attempt suicide. The second research gap involves a lack of an in-depth understanding of how biological risk indicators in combination with psychosocial risk indicators contribute to suicide risk. Understanding the biopsychosocial risk profile for individuals most at risk for eventual death by suicide remains critical for enhancing suicide risk detection strategies and developing targeted interventions. To address these gaps, the overall objective of the proposed project is to investigate the combined associations of brain structure and connectivity, genetic, and behavioral risk indicators for suicide. Biopsychosocial data from an estimated 4566 participants drawn from the UK Biobank will be analyzed to differentiate those at risk for suicidal behavior from self-directed violence thoughts alone. This proposal sets the stage for Mr. Thompson’s goal to develop a program of research investigating biopsychosocial markers of suicide risk. Aim 1 of the proposed project is to compare brain structure and connectivity, genetic, and psychosocial risk indicators between two groups: adults with lifetime suicide attempt(s) and adults with lifetime self-directed violence thoughts alone. Aim 2 is to determine the relative importance of biological and psychosocial candidate markers by comparing classification algorithms utilizing biological (i.e., brain structure and connectivity, genetic variance), above and beyond psychosocial risk indicators alone, in differentiating between these two groups. Findings will advance our understanding of the biopsychosocial risk indicators associated with suicide to highlight mechanisms, improve risk detection, and ultimately inform targeted intervention strategies. Overall, the goals of the proposed project will be accomplished within the context of a research training program aimed at developing expertise in (1) biopsychosocial underpinnings of suicidality, (2) advanced statistics and machine learning, (3) multimodal neuroimaging, (4) generation of PRS, and (5) scholarly dissemination skills. The training plan includes attendance at selected workshops, scientific writing and academic conference presentations, and individual supervision and mentorship by a team of sponsors and collaborators with complementary areas of expertise.

项目摘要/摘要 自杀仍然是全国和全球的重大公共卫生危机。与自杀有关的思想和行为 是与异质性生物心理社会风险指标相关的经诊断现象。发现 表明自杀风险与独特的静止状态功能连通性，结构性大脑有关 差异和多基因风险评分（PRS）概况。我们对 自杀的生物心理社会脆弱性。第一个研究差距涉及对 候选标记是区分仅考虑自我指导的暴力与那些人的个人 最终尝试自杀。第二个研究差距涉及对如何深入了解 生物风险指标与社会心理风险指标结合使用，导致自杀风险。理解 最终自杀死亡风险的个体的生物心理社会风险概况对于 增强自杀风险检测策略并制定有针对性的干预措施。为了解决这些差距， 拟议项目的总体目标是研究大脑结构和 自杀的连通性，遗传和行为风险指标。来自估计的生物心理社会数据 4566名参与者将分析来自英国生物库的参与者，以区分有自杀行为风险的参与者 仅凭自我指导的暴力思想。该提议为汤普森先生的目标奠定了舞台 研究计划的研究计划，研究了自杀风险的生物心理社会标志。拟议项目的目标1是 比较两组之间的大脑结构和连通性，遗传和社会心理风险指标：成人 终身自杀企图和具有终身自我指导的暴力思想的成年人。目标2是 通过比较分类来确定生物学和社会心理候选标记的相对重要性 利用生物学（即大脑结构和连通性，遗传差异），超越和以上的算法 仅在这两组之间区分了社会心理风险指标。调查结果将进步我们 了解与自杀相关的生物心理社会风险指标，以突出机制，改善 风险检测，并最终告知有针对性的干预策略。总体而言，拟议项目的目标 将在旨在发展（1）中发展专业知识的研究培训计划的背景下完成 自杀的生物心理社会基础，（2）高级统计和机器学习，（3）多模式 神经影像学，（4）PR的产生和（5）学术传播技巧。培训计划包括 参加选定的研讨会，科学写作和学术会议演讲以及个人 由赞助商和合作者组成的专业领域的团队的监督和思想。