Implications for socio-emotional well-being from adolescent peer interaction on social media

项目总结 社交媒体的使用在青少年中无处不在，经常被用作与同龄人交往的工具。 青少年的社会情绪健康通常是由同伴关系和互动驱动的，但有一个 对青少年日常社交媒体同伴互动的研究很少。此外， 这些互动的预测因素及其与青少年主观幸福感的预期关联是 未得到充分研究。Selkie博士是一名委员会认证的青少年医学儿科医生，他之前的研究 重点关注社交媒体可能与青少年健康相关的方式。这个辅导式职业发展奖 这将使她能够学习其他方法来研究青少年在社交媒体上的同伴互动。她有 建立了一支来自密歇根大学儿科、心理学、 健康行为和健康教育、信息和生物统计学以及威斯康星大学 儿科。这个团队将提供方法和内容方面的专业知识，并指导她的培训 和职业目标，这些目标是获得以下方面的专业知识和技能：1)儿童和青少年社会理论模型 和情绪发展；2)为研究收集主要数据；3)创建和测试概念模型 使用参与式设计原则对青少年在数字媒体上的同伴社交进行评估；4)先进 多元统计技术，包括因子分析、聚类分析和多项回归；5) 信息科学和社会计算，为未来关于青少年社交媒体行为的研究提供信息。 该研究计划测试了一个模型，在该模型中，童年自我调节预测社交媒体互动风格 青春期早期，这反过来又预示着青春期中期的一系列主观幸福感。这个 目标是：目标1：确定社交媒体同伴互动的风格(例如，积极(赞扬、社会支持)， 中性(计划活动、陈述事实)，或消极(批评、排斥)) 目标2：检验儿童良好的自我调节(较高的积极情绪调节， 抑制性控制和亲社会行为，以及较低的愤怒、沮丧和情绪症状)相关 更具适应性的社交媒体互动风格；目标3：测试更具适应性的社交媒体 13岁时的互动方式与更大的主观幸福感相关(例如，更高的自尊、社交 与同学和密友交往，积极情感和降低孤独感、负性情感、 和感知到的压力)在15-16岁。这些目标将通过对社交媒体的直接观察来实现 对150名低收入青少年的队列行为进行了研究，随后分析了这些行为之间的关系 以前收集的关于儿童自我调节的数据，以及后来收集的主观幸福感数据 青春期。这一奖项将为塞尔基博士提供成为独立医生的培训和经验 调查并开发未来的R01拨款申请。

PROJECT SUMMARY Social media use is ubiquitous among adolescents and is often used as a tool for socializing with peers. Adolescent socioemotional wellbeing is often driven by peer relationships and interactions, yet there is a paucity of research examining day-to-day social media peer interactions among adolescents. In addition, the predictors of these interactions and their prospective associations with adolescents’ subjective wellbeing are understudied. Dr. Selkie is a board-certified Adolescent Medicine pediatrician whose prior research has focused on the ways social media may relate to adolescent health. This mentored career development award will allow her to learn additional methods for studying adolescent peer interactions on social media. She has built a multidisciplinary mentoring team from the University of Michigan Departments of Pediatrics, Psychology, Health Behavior and Health Education, Information, and Biostatistics as well as the University of Wisconsin Department of Pediatrics. This team will provide methodological and content expertise and guide her Training and Career Goals, which are to gain expertise and skills in: 1) theoretical models of child and adolescent social and emotional development; 2) primary data collection for research; 3) creating and testing conceptual models of peer social interaction on digital media in adolescents using principles of participatory design; 4) advanced multivariate statistical techniques including factor analysis, cluster analysis, and multinomial regression; 5) information science and social computing to inform future studies on social media behaviors in adolescents. The research plan tests a model in which childhood self-regulation predicts a social media interaction style in early adolescence, which in turn predicts a range of subjective wellbeing in the middle adolescent years. The aims are: Aim 1: Identify styles of social media peer interaction (e.g., positive (compliments, social support), neutral (planning activities, statements of fact), or negative (criticism, exclusion)) among adolescents at age 13; Aim 2: Test the hypothesis that better childhood self-regulation (higher positive emotion regulation, inhibitory control, and prosocial behavior, and lower anger, frustration, and emotional symptoms) is associated with more adaptive social media interaction styles; Aim 3: Test the hypothesis that more adaptive social media interaction styles at age 13 are associated with greater subjective wellbeing (i.e., higher self-esteem, social connectedness with classmates and close friends, and positive affect and lower loneliness, negative affect, and perceived stress) at ages 15-16. These Aims will be carried out through direct observation of social media behavior in a cohort of 150 low-income adolescents, followed by analysis of associations between these behaviors, previously collected data on child self-regulation, and data on subjective wellbeing in later adolescence. This award will provide Dr. Selkie with the training and experience to become an independent investigator and develop future R01 grant applications.