Using TDM to understand mechanisms in adolescent health and risk behavior

使用 TDM 了解青少年健康和危险行为的机制

• 批准号: 10532013
• 负责人: MEGAN A. MORENO
• 金额: $ 36.75万
• 依托单位: UNIVERSITY OF WISCONSIN-MADISON
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-12 至 2027-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10532013
• 关键词: Adolescence; Adolescent; Adolescent Behavior; Affect; Age; Alcohol consumption; Area; Attitude; Attitude to Health; Behavior; Brain; Child Rearing; Complex; Consumption; Data; Data Collection; Development; Ecological momentary assessment; Enrollment; Exposure to; Frequencies; Functional Magnetic Resonance Imaging; Funding; Funding Opportunities; Future; Goals; Health behavior; Homicide; Injury; Interdisciplinary Study; Intervention; Learning; Link; Longitudinal Studies; Measures; Medial; Methods; Modeling; Morbidity - disease rate; Neurosciences; Parents; Participant; Patient Self-Report; Pattern; Personal Satisfaction; Persuasive Communication; Physical Fitness; Physical activity; Population; Predictive Value; Predictive Value of Tests; Prefrontal Cortex; Process; Program Research Project Grants; Reporting; Research; Research Design; Research Personnel; Risk; Risk Behaviors; Sampling; Structure; Suicide; Surveys; Technology; Testing; Time; United States National Institutes of Health; Work; adolescent brain development; adolescent health; aged; brain behavior; digital media; experience; functional MRI scan; health assessment; interest; longitudinal design; mortality; neurodevelopment; nutrition; programs; recruit; relating to nervous system; self reported behavior; social media; social norm; substance use; therapy development

PROJECT SUMMARY – PROJECT 1 Adolescence is a critical time period for the development of health behaviors such as physical activity and risk behaviors such as alcohol use. One way adolescents learn about and model their behaviors is via technology and digital media (TDM), particularly social media. Adolescent behavior can be influenced by content that adolescents display (self-generated) on social media, as well as content they consume (other-generated). The long-term goal of this research is to understand mechanisms by which social media influence health and risk behavior towards the development of interventions to promote healthy behavior and reduce risk behavior. The objective of this Project 1 is to understand patterns and content of displayed health and risk behavior on social media that is created by, and consumed by, adolescents. We will determine connections between three key concepts through our Specific Aims, including: 1) what adolescents display on TDM about their own health and risk behaviors via self-generated content, 2) the displayed TDM content adolescents are exposed to in real-time about health and risk behaviors, and 3) adolescents’ self-reported health and risk behavior attitudes, social norms intentions and actions. Our third aim will assess neural processes underlying how created and consumed TDM content is processed and associated with health and risk behavior. The PI, Co-I and consultant on this Project bring over a decade of work in the area of adolescent behaviors displayed on social media, including several NIH-funded studies in this area. Our preliminary data indicates that for older adolescents, self-generated risk behavior content on TDM closely aligns with self-reported behavior, and that Ecological Momentary Assessment (EMA) is feasible to use with adolescent populations to assess real-time TDM use and content exposure. This study will use a longitudinal study design, collecting data over 2 years. The shared participant pool for this P01 program will be leveraged to recruit the sample of 400 adolescents aged 13-15 years at enrollment. Data collection approaches will include social media observation of health and risk behaviors, including self-generated and other-generated. This social media observational data will be linked to self-report survey data including attitudes, social norms, intentions and behaviors. Moderators will include technology importance and parent involvement. Data collection will also include Ecological Momentary Assessment (EMA) to determine adolescents’ exposure to self-generated and other-generated content across TDM in real-time. Finally, investigators will utilize social media data during a fMRI scan to determine whether self-generated and other-generated content is processed differently. This project aligns with the current RFA as utilizes multi-level assessments of health and development, including real-time measures of TDM exposure.

项目摘要-项目1 青春期是身体活动和风险等健康行为发展的关键时期 行为，如饮酒。青少年学习和模仿自己行为的一种方式是通过技术 数字媒体（TDM），特别是社交媒体。青少年的行为可能会受到内容的影响， 青少年在社交媒体上展示（自我生成），以及他们消费的内容（他人生成）。的 这项研究的长期目标是了解社交媒体影响健康和风险的机制 发展干预措施，以促进健康行为和减少危险行为。的 本项目的目标1是了解社会上显示的健康和危险行为的模式和内容， 由青少年创造和消费的媒体。我们将确定三个关键因素之间的联系 通过我们的具体目标，包括：1）青少年在TDM上展示了他们自己的健康状况， 通过自制内容的危险行为，2）青少年实时接触的显示TDM内容 关于健康和危险行为，3）青少年的自我报告的健康和危险行为的态度，社会 规范意图和行动。我们的第三个目标是评估神经过程是如何创造和消费的 TDM内容被处理并与健康和风险行为相关联。PI，Co-I和顾问 该项目在社交媒体上展示的青少年行为领域开展了十多年的工作，包括 在这一领域的几项NIH资助的研究。我们的初步数据表明，对于年龄较大的青少年， TDM上的风险行为内容与自我报告的行为密切相关， 评估（EMA）可用于青少年人群，以评估实时TDM使用和内容 exposure.本研究将采用纵向研究设计，收集2年以上的数据。共享参与者 本P01项目的样本库将用于招募400名13-15岁的青少年样本， 招生数据收集方法将包括社会媒体对健康和风险行为的观察， 包括自我生成和他人生成。这些社交媒体观察数据将与自我报告相关联 调查数据包括态度、社会规范、意图和行为。主持人将包括技术 重要性和家长参与。数据收集还将包括生态瞬时评估（EMA） 以确定青少年在TDM中对自我生成和他人生成内容的实时接触。 最后，研究人员将在fMRI扫描期间利用社交媒体数据来确定是否是自我生成的， 其他生成的内容被不同地处理。本项目与当前RFA一致，因为采用了多水平 健康和发展评估，包括TDM暴露的实时测量。