Neurocognitive profiles in a community sample of children & adolescents: sociodemographic, behavioral and emotional correlates

Abstract

Objectives: We aim to investigate the association between cognitive profiles of children and adolescents, classified using latent class analysis and emotional, behavioral and sociodemographic factors in a community-based sample of children and adolescents. Methods: The sample consists of 161 participants recruited from a nationally representative household sample of 1517 children and adolescents who participated in a national mental health survey. Participants and their parents completed the following scales: Strengths and Difficulties Questionnaire, Mood and Feelings Questionnaire, and Screen for Child Anxiety Related Emotional Disorders. Participants were then administered a battery of cognitive tests from the Cambridge Automated Neuropsychological Assessment Battery as well as the Wechsler Nonverbal Scale of Ability. Results: Latent class analysis showed a 2-class model that was stable and had good entropy (0.837). Class 1 included 58 participants (36.0%), and Class 2 included 103 participants (64.0%). Participants belonging to Class 1 performed better than those in Class 2 on all cognitive tasks. Chances for belonging to a specific Class varied based on different sociodemographic, behavioral and emotional factors: older participants with higher Intellectual Quotient, higher parental educational level, lower reported hyperactivity and better-reported mood were more likely to belong to Class 1. Conclusion: Our results show a tight correlation between different emotional, behavioral and sociodemographic variables on one hand and cognitive functioning in children and adolescents on the other hand. This supports the continuous need for an integrative approach when building norms for cognitive tests that account at the least for all these variables.