Modeling computational learning in sport neuropsychology: relationship between physical activity and cognition in Mexican university students
DOI:
https://doi.org/10.47197/retos.v67.111628Keywords:
Actividad Física, Aprendizaje Computacional, Cognición, DeporteAbstract
Introduction: Sport neuropsychology has become interested in the development of superior cognitive processes known as executive functions, these are involved in the performing of complex tasks, adaptive ability and mental health; recent evidence suggests that these processes can be stimulated through physical activity. However, the analysis of the relationship between these variables may be biased with the use of classical statistical methods due to different theoretical assumptions and the conditions of the research, therefore, the use of other analytical tools could be functional for the study of these processes.
Objective: To analyze the relationship between physical activity and executive functions using computational intelligence techniques.
Methodology: Quantitative, non-experimental, cross-sectional study with a sample of 140 university students divided into groups of low (n=47), medium (n=40) and high (n=53) physical activity. The International Physical Activity Inventory (IPAQ) and the Neuropsychological Battery of Executive Functioning (BAN-FE-II) were used.
Results: Computational intelligence techniques classified better cognitive performance with higher levels of physical activity in two conditions: 1) Cognitive performance profile; 2) Total score.
Discussion: Findings corroborate theoretical relationship established in other studies on cognition and physical activity, however, they differ in results with classical statistical techniques.
Conclusions: Physical activity levels can determine the cognitive performance. It shows evidence of the usefulness that computational intelligence can have in the neuropsychology of sport.
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