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The Impact of Physical Activity Enjoyment on Motor Ability

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Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) (IEA 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 819))

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Abstract

This study aimed to examine the impact of physical activity enjoyment on the motor ability of school-age children. We collected data from 351 elementary school students (180 boys and 171 girls; Mage = 8.78, standard deviation = 1.85) from public elementary schools in Japan. We investigated individual profiles (sex, age, birth date, and school year), children’s physical size (height, weight, and Rohrer index), children’s motor ability (performance during a 50-m sprint, standing broad jump, and throwing a soft ball), and enjoyment of physical activity using the Physical Activity Enjoyment Scale (PACES). We assessed the effect of physical activity enjoyment (independent variable) on motor ability (dependent variable) using binomial logistic regression analysis. An examination of confounders (chi-square test) indicated that weight and Rohrer index were the influential factors in the 50-m sprint (ps < .05). Therefore, the adjusted ORs for these factors were calculated using logistic regression analysis. The adjusted analysis results indicated that enjoyment (PACES score ≥ 4.00) is a promoting factor for motor ability.

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Acknowledgement

This work was supported by JSPS KAKENHI Grant Number JP18K13123 (PI: Akari Kamimura). We are extremely grateful to 351 children who participated in the study and provided invaluable data. We gratefully acknowledge the work of all staffs of our research group.

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Correspondence to Akari Kamimura .

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Kamimura, A., Kawata, Y., Izutsu, S., Shibata, N., Hirosawa, M. (2019). The Impact of Physical Activity Enjoyment on Motor Ability. In: Bagnara, S., Tartaglia, R., Albolino, S., Alexander, T., Fujita, Y. (eds) Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018). IEA 2018. Advances in Intelligent Systems and Computing, vol 819. Springer, Cham. https://doi.org/10.1007/978-3-319-96089-0_70

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