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Sociodemographic risk and early environmental factors that contribute to resilience in executive control: A factor mixture model of 3-year-olds
Authors:Jennifer Mize Nelson  Hye-Jeong Choi  Caron A. C. Clark  Tiffany D. James  Hua Fang  Sandra A. Wiebe
Affiliation:1. Department of Psychology and Office of Research, University of Nebraska-Lincoln, Lincoln, NE, USAjnelson18@unl.edu;3. Department of Educational Psychology, University of Georgia, Athens, GA, USA;4. Department of Psychology, University of Arizona, Tucson, AZ, USA;5. Department of Psychology and Office of Research, University of Nebraska-Lincoln, Lincoln, NE, USA;6. Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA;7. Department of Psychology, University of Alberta, Edmonton, AB, Canada
Abstract:Young children at sociodemographic risk generally demonstrate lower executive control (EC), although with substantial heterogeneity across children. Given this marked variability, there may be some at-risk children who display higher EC and may be buffered from or resilient to the effects of sociodemographic risk who can be studied to identify the contributory factors. In this study, factor mixture modelling was used to determine whether subgroups of 3-year-old children existed based on their observed performance on a battery of EC tasks. Results indicated 2 latent groups: One characterized by lower EC and the other by higher EC. Both sociodemographically at-risk and low-risk children were represented in each group, yielding 4 risk-status-by-EC groups, where at-risk higher EC children were termed the resilient group. Proximal household enrichment (e.g., exposure to learning materials, varied enriching experiences, academic and language stimulation, parental responsivity) distinguished the resilient group from lower performing children of similar risk status, whereas distal financial resources and proximal social network resources did not distinguish these two groups. Results suggest potential intervention targets to promote optimal EC development, particularly among children at risk.
Keywords:Executive control  Sociodemographic risk  Resilience  Factor mixture modelling  Preschool
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