This study used a machine learning framework in conjunction with a large battery of measures from 9,718 school-age children (ages 9–11) from the Adolescent Brain Cognitive Development℠ (ABCD) Study to identify factors associated with fluid cognitive functioning (FCF), or the capacity to learn, solve problems, and adapt to novel situations.
The identified algorithm explained 14.74% of the variance in FCF, replicating previously reported socioeconomic and mental health contributors to FCF, and adding novel and potentially modifiable contributors, including extracurricular involvement, screen media activity, and sleep duration. Pragmatic interventions targeting these contributors may enhance cognitive performance and protect against their negative impact on FCF in children. (Publisher Abstract)
Downloads
Similar Publications
- Forcible, Drug-Facilitated, and Incapacitated Rape in Relation to Substance Use Problems: Results from a National Sample of College Women
- Changing Course: Preventing Gang Membership, Chapter 4. What Is the Role of Police in Preventing Gang Membership? (From Changing Course: Preventing Gang Membership, P 51-62, 2013, Thomas R. Simon, Nancy M. Ritter, and Reshma R. Mahendra, eds. - See NCJ-23
- A Longitudinal Analysis of Risk and Protective Factors of Bias-Based Bullying Victimization Among Adolescents