Social Media Use and Mechanisms of Suicide Risk in Adolescents

项目摘要/摘要 在过去的十年里，青春期女孩的自杀率几乎翻了一番。在同一时间段内， 社交媒体网站(如Instagram、Snapchat、Facebook)变得无处不在，近97%的年轻人 现在正在使用社交媒体。社交媒体对青少年的发展既有风险，也有好处。然而， 年轻人中可能有一群易受伤害的人，他们使用社交媒体会影响自杀想法 行为(STB)。这项研究的主要目标是考察社交媒体的使用如何以及对谁有贡献 对性传播疾病的风险，以便我们可以更好地识别和干预最危险的青少年。一个多方法的方法， 结合计算精神病学和实验技术，将被用来研究特定的 社交媒体使用影响STB的机制。数据将从两个现有数据集(n~ 2,000人)和招募样本(n=90名青春期女性，年龄14-17岁，有性传播疾病终生病史)。至 确定可增加STB风险的特定、直接可见的社交媒体体验、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和 使用机器学习技术进行分析。此外，一个创新的实验室范式与眼睛- 跟踪/瞳孔测量法将用于检查对使用社交媒体的认知和情感反应 增加对STB的脆弱性。参与者的STB将在基线、3个月和6个月后进行评估 UPS。这项研究的目的与候选人的长期职业目标--成为一名 青少年社交媒体使用和心理健康的独立调查者。为了完成这项研究议程 展望未来，候选人提出了四个关键领域的培训：(1)用于分析的机器学习方法 数字轨迹数据，(2)实验性眼球跟踪/瞳孔测量范例，(3)基于机制的翻译 青少年自杀风险研究；和(4)职业发展，重点是有效的培训 跨学科协作和社交媒体研究的伦理。一个由导师和顾问组成的团队 多学科将促进候选人的培训，包括青少年自杀风险、机器方面的专家 学习和自然语言处理，以及实验性的同伴互动范例。不同的 布朗大学和罗德岛医院提供的资源将确保成功完成 计划并促进候选人研究计划的发展。拟议中的研究具有潜在的 对我们理解社交媒体在青少年自杀风险中的作用做出重大贡献。完成 拟议的研究和培训目标将使候选人成为该领域的领导者 青少年使用社交媒体的比例。

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.