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Physical Fitness Level Is Related to Attention and Concentration in Adolescents

The main goal of this study was to analyze the relationships among physical fitness, selective attention and concentration in a group of 210 teenagers (43.81% male, 56.19% female) from the city of Málaga (Spain), aged between 11 and 15 years old (M = 13.27, SD = 1.80) that participated in the study....

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Detalles Bibliográficos
Autores principales: Reigal, Rafael E., Moral-Campillo, Luna, de Mier, Rocío Juárez-Ruiz, Morillo-Baro, Juan P., Morales-Sánchez, Verónica, Pastrana, José L., Hernández-Mendo, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7010910/
https://www.ncbi.nlm.nih.gov/pubmed/32116920
http://dx.doi.org/10.3389/fpsyg.2020.00110
Descripción
Sumario:The main goal of this study was to analyze the relationships among physical fitness, selective attention and concentration in a group of 210 teenagers (43.81% male, 56.19% female) from the city of Málaga (Spain), aged between 11 and 15 years old (M = 13.27, SD = 1.80) that participated in the study. D2 attention test was used in order to analyze selective attention and concentration. Physical fitness was evaluated using the horizontal jump test, the Course Navette test and the 5 × 10 meters speed test. The analysis taken indicated a significant relationship among the physical fitness level, the attention and the concentration, as in the general sample as looking at gender. Linear regression tests performed showed that oxygen consumption is the best predictor of attentional parameters. Cluster analysis shows two groups characterized by a greater or lower physical fitness level. So, the highest physical fitness level group scores better in the attention (e.g., boys: p < 0.001, d’ Cohen = 1.01, 95% CI [0.57, 1.44]; girls: p < 0.01, d’ Cohen = 0.61, 95% CI [0.24, 0.98]) and the concentration tests (e.g., boys: p < 0.001, d’ Cohen = 0.89, 95% CI [0.46, 1.32]; girls: p < 0.01, d’ Cohen = 0.58, 95% CI [0.21, 0.95]). Results indicate that physical fitness analysis can be used as a tool for observing differences in the attention and concentration level of the analyzed adolescents, suggesting that a physical performance improvement could be an adequate procedure to develop some cognitive functions during adolescence.