Toward a Unifying Model of Self-Regulation and its Development

走向统一的自律模式及其发展

• 批准号: 8837038
• 负责人: Pamela M Cole
• 金额: $ 56.27万
• 依托单位: PENNSYLVANIA STATE UNIVERSITY, THE
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-07-01 至 2019-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8837038
• 关键词: 2 year old; 5 year old; Address; Adolescent; Adult; Age; Archives; Area; Attention; Behavior; Behavioral; Child; Code; Data; Data Collection; Development; Emotions; Event; Fathers; Goals; Health; Heart; Heart Diseases; Impairment; Individual; Individual Differences; Infant; Informal Social Control; Intervention; Knowledge; Link; Longevity; Longitudinal Studies; Mathematics; Measurement; Measures; Mental disorders; Modeling; Mothers; Nature; Nursery Schools; Obesity; Observational Study; Outcome; Parent-Child Relations; Parents; Physiological; Physiology; Play; Process; Readiness; Regulation; Request for Applications; Research; Role; Sampling; Series; Sum; System; Testing; Time; Work; cognitive control; design; early childhood; indexing; infancy; mathematical model; psychologic; research study; response

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.

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在自我调节研究中更大的一致性和整合的呼吁。在核心框架的基础上，自我调节被定义为利用执行过程（如注意力控制）来改变优势反应（如情绪），我们开发了一套数学模型，旨在统一理论观点，并利用密集的时间序列数据捕捉自我调节的动态本质。模型的开发和测试使用了5个独立研究中收集的大量时间序列数据，这些研究涉及儿童早期自我调节和父母指导的婴儿状态调节。在每一项实验中，行为和/或生理指标对优势和执行过程进行逐秒编码。然后，从统一框架中获得的知识被用于设计和收集新的数据，这些数据为预测有效性、发展差异以及幼儿和父母自我调节的多种表现的泛化提供了测试。