Early Childhood Vigilance Test (ECVT) of Attention in Younger HIV-Exposed Ugandan Children Predicts Tests of Variables of Attention (TOVA) at School Age
Abstract
Objective: Evaluate a computerized-based attention test in early infancy in predicting neurocognitive schoolage performance in human immunodeficiency virus (HIV)-exposed uninfected children. Method: Thirty-eight Ugandan HIV-exposed/uninfected children (17 boys, 21 girls) were evaluated with the Early Childhood Vigilance Test (ECVT) of attention between 3 and 5 years of age, which is a 6-min 44 s animation with colorful animals that greet the child and move across the screen. Attention was proportion of total animation time viewing a computer screen, as well as the proportion of time tracking the moving animal using eye tracking. These children were then again tested at least 2 years later (between 5 and 9 years of age) with the Kaufman Assessment Battery for Children, 2nd Edition (KABC-II) and the visual computerized Tests of Variables of Attention (TOVA). Results: Irrespective of whether scored by webcam video scoring or using automated eye tracking to compute proportion of time viewing the animation, ECVT attention was significantly correlated with all TOVA outcomes for vigilance attention. This was still the case when the correlation was adjusted for type of caregiver training for the mother, child gender, socioeconomic status (SES), and quality of Home Observational Measurement Evaluation (HOME) environment—especially for the TOVA response time variability to signal (p =.03). None of the ECVT attention performance measures correlated significantly with any of the KABC-II cognitive ability outcomes. Conclusion: Attention assessment in early childhood is predictive of school-age computer-based measures of attention and can be used to gauge the effects of factors of early risk and resilience in brain/behavior development in African children affected by HIV © 2022. American Psychological Association
Author(s)
Ojuka, Julius Caesar
Year
2022
Countries
Uganda
Language
English
Research Method
Quantitative
Article Type
Peer-Reviewed Articles
Keywords
Early childhood education | Primary education | ICT in education | Household factors associated with student learning | Excel Import
Full Citation Style
Research Team
Ojuka, Julius Caesar
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