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
- Changing Course: Preventing Gang Membership, Chapter 8. What Should Be Done in the Community to Prevent Gang-Joining? (From Changing Course: Preventing Gang Membership, P 105-119, 2013, Thomas R. Simon, Nancy M. Ritter, and Reshma R. Mahendra, eds. - See
- Firearms: use and storage at home and use in suicides by children
- Neighborhood Disadvantage, Neighborhood Instability, and Adolescent Behavior: Premarital Childbearing, Dropping Out of School, and Delinquency