Toward a Unifying Model of Self-Regulation and its Development

描述（由申请人提供）：自我调节是健康发育的一个关键方面，自我调节的障碍与许多不良健康结果相关。这个应用程序解决了美国国立卫生研究院的呼吁，在自我调节的研究更大的一致性和整合。从一个核心框架，其中自我调节被定义为招聘的执行过程（如注意力控制），以改变优势的反应（如情绪），我们开发了一套数学模型，旨在统一的理论观点，并捕捉自我调节的动态性质，使用密集的时间序列数据。模型的开发和测试使用密集的时间序列数据存档在5个独立的研究幼儿自我调节和父母为导向的婴儿状态的调节。在每一个，行为和/或生理指标的优势和执行过程进行编码的一秒一秒的时间尺度。从统一的框架中获得的知识，然后用于设计和收集新的数据，提供了测试的预测有效性，发展差异，并在幼儿和父母的自我调节的多种表现的泛化。

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.