Acta Psychologica (Nov 2024)
Strength-agility and fine motor are differently associated with non-verbal intelligence in dependency to sex and age in school children: Structural equation modelling multigroup approach
Abstract
Background: In today's digital age, demanding to interpret vast quantities of visual information with speed and accuracy, nonverbal Intelligence has become increasingly crucial for children, as it plays a key role in cognitive development and learning. While motor proficiency has been positively linked to various cognitive functions in children, its relationship with nonverbal Intelligence remains an open question. This study, therefore, explored the structural associations between motor proficiency and nonverbal Intelligence in school-aged children (6 to 11 years), focusing on potential age and sex-specific patterns. Methods: Data were obtained from 396 children aged 6 to 11 (214 boys, 182 girls; mean age 8.9 years ±1.3) divided into younger children 6–8 years and older Children 9–11 years. Motor proficiency was assessed using the Bruininks-Oseretsky Test of Motor Proficiency, Second Edition (BOT-2), and non-verbal Intelligence was evaluated with the Raven Progressive Matrices (RPM). We conducted multigroup structural modelling with non-verbal Intelligence as a dependent latent variable. Results: The BOT-2 and RPM models demonstrated an acceptable fit in Czech children. Strength-agility and Fine motor control emerged as the strongest predictors of nonverbal intelligence level assessed by five sets of RPM. Age-specific analyses revealed that the Strength-agility construct was consistently a significant predictor of nonverbal intelligence level in both age categories. However, in older children, also Fine motor control was significantly linked to nonverbal intelligence level. Sex-specific differences were also observed in the structural modelling results, indicating significant predictor non-invariance based on participants' sex. In girls, both Fine motor control and the Strength-agility constructs were significant predictors of nonverbal Intelligence level, showing stronger associations with nonverbal Intelligence than boys. For boys, only the Strength-agility construct was a significant predictor of RPM performance. Conclusion: This study reveals a nuanced age- and sex-specific relationship between children's motor proficiency and nonverbal Intelligence. The findings underscore the need for targeted physical interventions, particularly those emphasising fine motor and strength-agility exercises, to ensure equitable opportunities for motor skill development. Such interventions may enhance physical abilities and support cognitive development in an increasingly digital world.
