Presenter Information

Joshua Glenn AndersonFollow

Faculty Mentor

Dawn Coe

Department (e.g. History, Chemistry, Finance, etc.)

Kinesiology, Recreation, and Sport Studies

College (e.g. College of Engineering, College of Arts & Sciences, Haslam College of Business, etc.)

College of Education, Health, and Human Sciences

Year

2016

Abstract

Purpose: To determine the association between physical activity and cognition in preschool children. Methods: Participants were 18 young children (3–5 years old) enrolled in a Head Start preschool program. Physical activity was assessed using an Actigraph accelerometer placed on the child’s hip. The device was worn at school for at least three hours on three separate days during the week. Accelerometer data were categorized as sedentary or active (light, moderate, and vigorous intensity). Cognitive function, specifically working memory, was assessed using the Corsi Block-Tapping Test. The number of buttons in the sequence that were correctly pressed (taps correct) was used to determine working memory. Data were analyzed using Pearson correlations. Results: Children spent on average 87.4% of their monitored time in sedentary behaviors and 12.6% of the time physically active. The average number of taps correct was 10.1+9.8 during the Corsi test. There was a significant correlation between the amount of physical activity the children engaged in and the number of taps correct (r=0.51; p>0.05). Conclusion: This association suggests that increased physical activity levels at school could lead to improved cognition and performance in the school setting.

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The Impact of a Child-Centered, Mastery Movement Program on Physical Activity Levels, Motor Skill Development and Cognitive Function in Young Children

Purpose: To determine the association between physical activity and cognition in preschool children. Methods: Participants were 18 young children (3–5 years old) enrolled in a Head Start preschool program. Physical activity was assessed using an Actigraph accelerometer placed on the child’s hip. The device was worn at school for at least three hours on three separate days during the week. Accelerometer data were categorized as sedentary or active (light, moderate, and vigorous intensity). Cognitive function, specifically working memory, was assessed using the Corsi Block-Tapping Test. The number of buttons in the sequence that were correctly pressed (taps correct) was used to determine working memory. Data were analyzed using Pearson correlations. Results: Children spent on average 87.4% of their monitored time in sedentary behaviors and 12.6% of the time physically active. The average number of taps correct was 10.1+9.8 during the Corsi test. There was a significant correlation between the amount of physical activity the children engaged in and the number of taps correct (r=0.51; p>0.05). Conclusion: This association suggests that increased physical activity levels at school could lead to improved cognition and performance in the school setting.

 

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