Social Media Use and Mechanisms of Suicide Risk in Adolescents

青少年自杀风险的社交媒体使用和机制

• 批准号: 10449338
• 负责人: Jacqueline Nesi
• 金额: $ 19.57万
• 依托单位: RHODE ISLAND HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-16 至 2025-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10449338
• 关键词: Address; Adolescent; Adolescent Development; Affect; Affective; Age; Area; Arousal; Attention; Behavioral Mechanisms; Benefits and Risks; Clinical; Clinical Research; Cognitive; Data; Data Set; Databases; Development; Discipline; Disease; Emotional; Ensure; Environment; Ethics; Exhibits; Eye; Facebook; Feedback; Feeling suicidal; Female; Female Adolescents; Fostering; Frequencies; Future; Goals; Grant; Hospitals; Image; Individual; Intervention; Interview; Laboratories; Length; Linguistics; Literature; Longitudinal Studies; Machine Learning; Measures; Mental Health; Mentors; Metadata; Methods; Modeling; National Institute of Mental Health; Natural Language Processing; Participant; Patient Self-Report; Persons; Phase; Physiological; Positioning Attribute; Predisposition; Psychiatry; Recording of previous events; Research; Research Personnel; Research Training; Resources; Rhode Island; Risk; Risk Behaviors; Risk Factors; Role; Sampling; Self Disclosure; Series; Severities; Site; Social Environment; Suicide; Suicide attempt; Suicide prevention; Techniques; Teenagers; Testing; Time; Training; Translational Research; Twitter; Universities; Work; Youth; adolescent suicide; base; career; career development; digital; experience; follow-up; gaze; girls; indexing; innovation; interdisciplinary collaboration; machine learning classifier; machine learning method; machine learning model; peer; prevent; programs; prospective; recruit; response; social; social media; social norm; suicidal behavior; suicidal risk; suicide rate; therapy development; visual tracking; web interface

Project Summary/Abstract Suicide rates have nearly doubled among adolescent girls over the past decade. During this same time period, social media sites (e.g., Instagram, Snapchat, Facebook) have become ubiquitous, with nearly 97% of youth now using social media. Social media offers both risks and benefits for adolescent development. However, there is likely a vulnerable subset of youth for whom social media use influences suicidal thoughts and behaviors (STBs). The primary goal of this study is to examine how and for whom social media use contributes risk for STBs, so that we may better identify and intervene with youth most at risk. A multi-method approach, integrating computational psychiatry and experimental techniques, will be used to investigate the specific mechanisms by which social media use affects STBs. Data will be collected from both an existing dataset (n ~ 2,000) and a recruited sample (n = 90 adolescent females, ages 14-17, with lifetime history of STBs). To identify specific, directly observable social media experiences that heighten risk for STBs, digital trace data (i.e., social media content and meta-data) will be collected directly from adolescents’ social media pages and analyzed using machine learning techniques. In addition, an innovative laboratory paradigm with eye- tracking/pupillometry will be used to examine cognitive and affective responses to social media use that increase vulnerability to STBs. Participant STBs will be assessed at baseline, 3-month-, and 6-month follow ups. The aims of the study are well-aligned with the candidate’s long-term career goal of becoming an independent investigator of adolescent social media use and mental health. To purse this research agenda going forward, the candidate proposes training in four key areas: (1) machine learning methods for analyzing digital trace data, (2) experimental eye tracking/pupillometry paradigms, (3) mechanism-based translational research in adolescent suicide risk, and (4) professional development, with an emphasis on training in effective interdisciplinary collaboration and the ethics of social media research. A team of mentors and consultants from multiple disciplines will facilitate the candidate’s training, including experts in youth suicide risk, machine learning and natural language processing, and experimental peer interaction paradigms. The diverse resources available at Brown University and Rhode Island Hospital will ensure successful completion of the project and foster the development of the candidate’s research program. The proposed study has the potential to contribute significantly to our understanding of the role of social media in adolescent suicide risk. Completion of the proposed research and training goals will uniquely position the candidate to become a leader in the field of adolescent social media use.

项目摘要/摘要 在过去的十年中，青春期女孩的自杀率几乎翻了一番。 社交媒体网站（例如，Instagram，Snapchat，Facebook）已无处不在，有97％的青年 现在，社交媒体为青少年发展提供了风险和好处。 社交媒体使用的青年可能有一个脆弱的年轻人，会影响自杀式的诱惑和 行为（STB）。 STBS的风险，以便我们可以更好地识别和干预最大程度的危险。 整合计算精神病学和实验技术 社交媒体使用会影响STB的机制。 2,000）和一个招募的样本（n = 90名青少年女性，年龄在14-17岁，寿命为STBS） 确定特定的，可观察到的社交媒体体验，以增加STB的风险，数字跟踪数据 （即，社交媒体内容和元数据）将直接从青少年的社交媒体页面页面上收集 使用机器学习技术进行分析。 跟踪/瞳孔测定法将用于检查对社交媒体使用的认知和情感反应 增加了STB的脆弱性。 UPS。 青少年社交媒体使用和心理健康的独立研究者。 展望未来，候选人在四个关键领域提议培训：（1）用于分析的机器学习方法 数字痕量数据，（2）实验性眼角/瞳孔测定范式，（3）基于机制的转换 青少年自杀风险和（4）专业发展的研究，重点是有效培训 跨界协作和社交媒体研究的道德规范。 多个学科将有助于候选人的培训，包括青年自杀风险专家 学习和自然语言处理以及体验同行互动范式 布朗大学和罗德岛医院可用的资源将确保成功地压缩 项目并促进候选人研究计划的发展。 为我们理解社交媒体在自杀风险中的作用做出重大贡献。 在支撑研究和培训目标中，将成为该领域的领导者的独特位置 青少年的社交媒体使用。