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.
Self-regulation plays an important role in many health problems, such as mental disorders, obesity, and heart disease. This study integrates the diversity of research into a unified model that describes development of self- regulation in young children and in their parents, and identifies potential areas for intervention.
|Gatzke-Kopp, Lisa M; Ram, Nilam; Lydon-Staley, David M et al. (2018) Children's Sensitivity to Cost and Reward in Decision Making Across Distinct Domains of Probability, Effort, and Delay. J Behav Decis Mak 31:12-24|
|Buss, Kristin A; Davis, Elizabeth L; Ram, Nilam et al. (2018) Dysregulated Fear, Social Inhibition, and Respiratory Sinus Arrhythmia: A Replication and Extension. Child Dev 89:e214-e228|
|Ong, Anthony D; Benson, Lizbeth; Zautra, Alex J et al. (2018) Emodiversity and biomarkers of inflammation. Emotion 18:3-14|
|Benson, Lizbeth; Ram, Nilam; Almeida, David M et al. (2017) Fusing Biodiversity Metrics into Investigations of Daily Life: Illustrations and Recommendations With Emodiversity. J Gerontol B Psychol Sci Soc Sci 73:75-86|
|Lydon-Staley, David M; Ram, Nilam; Brose, Annette et al. (2017) Reduced impact of alcohol use on next-day tiredness in older relative to younger adults: A role for sleep duration. Psychol Aging 32:642-653|
|Ram, Nilam; Benson, Lizbeth; Brick, Timothy R et al. (2017) Behavioral Landscapes and Earth Mover's Distance: A New Approach for Studying Individual Differences in Density Distributions. J Res Pers 69:191-205|
|Brinberg, Miriam; Fosco, Gregory M; Ram, Nilam (2017) Examining inter-family differences in intra-family (parent-adolescent) dynamics using grid-sequence analysis. J Fam Psychol 31:994-1004|
|Ong, Anthony D; Ram, Nilam (2017) Fragile and Enduring Positive Affect: Implications for Adaptive Aging. Gerontology 63:263-269|
|Tuarob, Suppawong; Tucker, Conrad S; Kumara, Soundar et al. (2017) How are you feeling?: A personalized methodology for predicting mental states from temporally observable physical and behavioral information. J Biomed Inform 68:1-19|
|Koffer, Rachel E; Ram, Nilam; Almeida, David M (2017) More than Counting: An Intraindividual Variability Approach to Categorical Repeated Measures. J Gerontol B Psychol Sci Soc Sci 73:87-99|
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