Growing up in a digital world: A synergistic approach to understanding media use in children ages 1-8 years

项目摘要 在了解媒体曝光对儿童结果的影响方面的进展受到缺乏以下因素的限制： 大型和有代表性的纵向数据集，在不断变化的环境中跟踪内容质量的难度 媒体环境，以及缺乏一种机制，以迅速分享和分析结果，在理论上驱动的 方式本P01提案的首要目标是研究媒体使用的轨迹-表征 背景、内容和有问题的媒体使用-在1200名1至7岁的儿童中， 使用队列序列研究情绪调节和社会能力的时间关联 设计行政核心将整理和整合家庭媒体曝光综合评估 （CAFE）工具包数据沿着情绪调节和社交能力结果数据， 问题研究CAFE工具包通过基于网络的调查问卷、时间使用、 日记和安装在家庭移动的设备上的被动传感应用程序（巴尔等人，2020; Radesky等人，2020年b）。 管理核心将管理整个年龄段三项纵向研究的数据整合 范围（1-3岁、3-5岁、5-7奥尔兹）。将从新队列中收集的数据与之前收集的数据进行比较， 在COVID大流行期间，相同的研究小组使用相同的CAFE工具包来研究如何 媒体曝光模式因流行病的不同而不同，以及这些经历与社会 情感的结果。P01还将开发方法，以提高编码的效率， 媒体内容是该领域的瓶颈。最后，数据将被集成、共享、可视化和分析， 共享分析研究中心。 1

Project summary Progress in understanding the effects of media exposure on child outcomes has been limited by the lack of large and representative longitudinal datasets, the difficulty of tracking quality of content in an ever-changing media environment, and the lack of a mechanism to rapidly share and analyze results in a theoretically driven manner. The overarching goal of this P01 proposal is to examine trajectories of media use - characterizing the context, content, and problematic uses of media - in a diverse group of 1200 children aged 1 to 7 years and examining temporal associations with emotion regulation and social competence using a cohort sequential design. The admin core will collate and integrate the Comprehensive Assessment of Family Media Exposure (CAFE) Toolkit data along with emotion regulation and social competence outcome data across the three studies. The CAFE Toolkit measures household media use through a web-based questionnaire, time-use diary, and passive-sensing app installed on family mobile devices (Barr et al., 2020; Radesky et al., 2020b). The administrative core will manage the data integration of the three longitudinal studies across the entire age range (1-3, 3-5, 5-7 year olds). Data collected from new cohorts will be compared to data collected before and during the COVID pandemic by the same research groups using the same CAFE Toolkit to examine how media exposure patterns varied as a function of the pandemic and how those experiences are related to socio- emotional outcomes. The P01 will also develop methods to increase the efficiency of coding the quality of media content, a bottleneck in the field. Finally, the data will be integrated, shared, visualized, and analyzed in a shared analytic Research Hub. 1