Toward a Unifying Model of Self-Regulation and its Development

描述(由申请人提供)：自我调节是健康发展的一个关键方面，自我调节的障碍与许多不良的健康结果有关。这项申请回应了美国国立卫生研究院对自律研究的更大一致性和整合性的呼吁。在一个核心框架的基础上，自我调节被定义为招募执行过程(例如注意力控制)来改变优先反应(例如情绪)，我们开发了一套数学模型，旨在统一理论观点，并使用密集的时间序列数据来捕捉自我调节的动态本质。模型的开发和测试使用了5项关于幼儿自我调节和父母指导的婴幼儿状态调节的独立研究中的密集时间序列数据。在每一种情况下，行为和/或生理指标优势和执行过程都是在一秒一秒的时间尺度上编码的。然后，从统一框架中获得的知识被用来设计和收集新的数据，这些数据提供了对幼儿和父母自我调节的多种表现的预测有效性、发展差异和概括性的测试。

DESCRIPTION (provided by applicant): Self-regulation is a key aspect of healthy development and impairments in self-regulation are associated with many poor health outcomes. This application addresses the NIH's call for greater consistency and integration in research on self-regulation. Building from a core framework, wherein self-regulation is defined as the recruitment of executive processes (e.g. attention control) to alter prepotent responses (e.g. emotion) we develop a set of mathematical models that aim to unify theoretical perspectives, and to capture the dynamic nature of self-regulation using intensive time-series data. Models are developed and tested using intensive time-series data archived in 5 independent studies of early childhood self-regulation and parent-directed regulation of infant state. In each, behaviors and/or physiology indexing prepotent and executive processes were coded on a second-by-second time scale. Knowledge gained from the unified framework is then used to design and collect new data that provides for tests of predictive validity, developmental differences, and generalization across multiple manifestations of both young children's and parents' self-regulation.