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Tracking Phenomenon in Physical Development During Elementary School

Received: 8 October 2019    Accepted: 8 November 2019    Published: 19 November 2019
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Abstract

Ten-step assessments are generally used as means of assessing motor ability in school-age children. However, no method for assessing physical fitness and motor ability has been established that considers changes with age in young schoolchildren in the growth stage. In particular, no method has been constructed to evaluate physical longitudinal data for individuals. The purpose of this study was to establish a suitable method for evaluating this kind of physical longitudinal data, and examine motor ability tracking. Cohorts were established for physique and motor ability data published by the Ministry of Education, Culture, Sports, Science and Technology (MEXT) of Japan, and the wavelet interpolation model was applied to the mean values ± 0.5 SD and ± 1.5 SD from the first to the sixth grade of elementary school. A physical evaluation chart that included consideration of aging was then established. The longitudinal data for physique and motor ability from the first to sixth grade of elementary school were applied to this chart, and the physique and motor ability tracking status was analyzed. Physique was shown to track at high rates of greater than 95% for height and more than 70% of children for motor ability. This demonstrates that motor ability at the time of first grade in elementary school generally continues on the same course until the sixth grade. Given this tendency for evaluations of motor ability to follow the same trend line during the elementary school years, early educational attention may be necessary for children with poor motor ability.

Published in American Journal of Sports Science (Volume 7, Issue 4)
DOI 10.11648/j.ajss.20190704.17
Page(s) 171-176
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Preschool Children, Motor Abilities, Regression Evaluation, Fat-Slim Degree

References
[1] K. Fujii, “A scientific approach to growth and development -Physical information science for growth development & health-,” Sankeisha, pp. 112-173, 2006.
[2] T. Bando, K. Ikuta, T. Hirai, and M. Sugie, “Current state of the physical fitness of incoming students at Osaka University,” Bulletin of Osaka University Research Center for Educational Research, Vol. 2, pp. 51-58, 2005.
[3] K. Fujii, T. Watanabe, and T. Sakai, “Change with age of correlation between body composition and motor ability in young children,” The Journal of Education and Health Science, Vol. 56 (3), pp. 275-282, 2011.
[4] K. Fujii, N. Tanaka, J. D. Kim, “Composition regarding change of physique and motor ability with age in Korean preschool children -Analysis by applying least square approximation polynomial-,”Japanese Journal of Physiological Anthropology, Vol. 17 (2), pp. 57-65, 2012.
[5] K. Fujii, K. Kasuga, N. Tanaka, and K. Fukutomi, “Confirmation regarding relational composition between physique growth and motor fitness development in preschool children: Analysis on longitudinal data based on quadratic polynomial,” Japanese Journal of Physiological Anthropology, Vol. 18 (2), pp 67-75, 2013.
[6] Kori et al, “Impact of annual body mass index gain on obesity development in Japanese 6 year-old non obese children, Public Helth, 761.
[7] K. Fujii, Y. Matsuura, “Analysis of velocity curve for height by the wavelet interporlation method in childen classify by maturity rate,” American Journal of human Biology, 11, pp. 13-30, 1999.
[8] K. Fujii. “Verification regarding delayed menarche in Japanese female athletes: Analysis by wavelet interpolation method,” Physical education research, Vol 48 (5), pp. 523-539, 2003.
[9] K. Fujii, “Construction of delayed menarche evaluation system in Japanese female athletes,” The Journal of Education and Helth Science, Vol. 53 (3), pp. 273-285, 2008.
[10] Y. Hasebe, K. Kosyo, “How much physical fitness traits in early childhood track during childhood? A comparative study of older boys and 6th grade children,” Proceedings of the Japan Society of Physical Education, Vol 65 (0), pp. 199, 2004.
[11] M. Kawasaki, K. Kasuga, “How much physical fitness traits in early childhood should be tracked during childhood? A comparative study between older children and sixth graders in girls,” Proceedings of the Japan Society of Physical Education, Vol 65 (0), pp. 189, 2004.
[12] K. Fujii, H, Yamamoto, “Examination of average growth rate curve of male physique by Wavelet Interpolation Method,” The Japanese Journal of Physical Fitness and Sports Medicine, Vol. 44 (6), pp. 841, 1995.
[13] K. Fujii, “Analysis of MPV age-dependent average growth rate curves in height development of men and women by WIM,” The Japanese Journal of Physical Fitness and Sports Medicine, Vol. 45 (6), pp. 831, 1996.
[14] K. Fujii, “A developmental approach to verifying delayed menarche in female ball players: an approach from wavelet interpolation method,” The Japanese Journal of Physical Fitness and Sports Medicine, Vol. 48 (6), pp. 802, 1999.
[15] K. Fujii, “Assessing tracking to adult obesity: Examination based on obesity judgment based on age-related changes in BMI,” Child and development, Vol. 14 (3), pp. 230-237, 2016.
[16] K. Fujii, K. Kosho, N. Tanaka, K. Fukutomi, “Confirmation regarding relational composition between physique growth and motor fitness development in preschool children: Analysis on longitudinal data based on quadratic polynomial,” Japanese Journal of Physiological Anthropology, Vol. 18 (2), pp. 67-75, 2013.
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  • APA Style

    Kohsuke Kasuya, Katsunori Fujii. (2019). Tracking Phenomenon in Physical Development During Elementary School. American Journal of Sports Science, 7(4), 171-176. https://doi.org/10.11648/j.ajss.20190704.17

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    ACS Style

    Kohsuke Kasuya; Katsunori Fujii. Tracking Phenomenon in Physical Development During Elementary School. Am. J. Sports Sci. 2019, 7(4), 171-176. doi: 10.11648/j.ajss.20190704.17

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    AMA Style

    Kohsuke Kasuya, Katsunori Fujii. Tracking Phenomenon in Physical Development During Elementary School. Am J Sports Sci. 2019;7(4):171-176. doi: 10.11648/j.ajss.20190704.17

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  • @article{10.11648/j.ajss.20190704.17,
      author = {Kohsuke Kasuya and Katsunori Fujii},
      title = {Tracking Phenomenon in Physical Development During Elementary School},
      journal = {American Journal of Sports Science},
      volume = {7},
      number = {4},
      pages = {171-176},
      doi = {10.11648/j.ajss.20190704.17},
      url = {https://doi.org/10.11648/j.ajss.20190704.17},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajss.20190704.17},
      abstract = {Ten-step assessments are generally used as means of assessing motor ability in school-age children. However, no method for assessing physical fitness and motor ability has been established that considers changes with age in young schoolchildren in the growth stage. In particular, no method has been constructed to evaluate physical longitudinal data for individuals. The purpose of this study was to establish a suitable method for evaluating this kind of physical longitudinal data, and examine motor ability tracking. Cohorts were established for physique and motor ability data published by the Ministry of Education, Culture, Sports, Science and Technology (MEXT) of Japan, and the wavelet interpolation model was applied to the mean values ± 0.5 SD and ± 1.5 SD from the first to the sixth grade of elementary school. A physical evaluation chart that included consideration of aging was then established. The longitudinal data for physique and motor ability from the first to sixth grade of elementary school were applied to this chart, and the physique and motor ability tracking status was analyzed. Physique was shown to track at high rates of greater than 95% for height and more than 70% of children for motor ability. This demonstrates that motor ability at the time of first grade in elementary school generally continues on the same course until the sixth grade. Given this tendency for evaluations of motor ability to follow the same trend line during the elementary school years, early educational attention may be necessary for children with poor motor ability.},
     year = {2019}
    }
    

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    JF  - American Journal of Sports Science
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    AB  - Ten-step assessments are generally used as means of assessing motor ability in school-age children. However, no method for assessing physical fitness and motor ability has been established that considers changes with age in young schoolchildren in the growth stage. In particular, no method has been constructed to evaluate physical longitudinal data for individuals. The purpose of this study was to establish a suitable method for evaluating this kind of physical longitudinal data, and examine motor ability tracking. Cohorts were established for physique and motor ability data published by the Ministry of Education, Culture, Sports, Science and Technology (MEXT) of Japan, and the wavelet interpolation model was applied to the mean values ± 0.5 SD and ± 1.5 SD from the first to the sixth grade of elementary school. A physical evaluation chart that included consideration of aging was then established. The longitudinal data for physique and motor ability from the first to sixth grade of elementary school were applied to this chart, and the physique and motor ability tracking status was analyzed. Physique was shown to track at high rates of greater than 95% for height and more than 70% of children for motor ability. This demonstrates that motor ability at the time of first grade in elementary school generally continues on the same course until the sixth grade. Given this tendency for evaluations of motor ability to follow the same trend line during the elementary school years, early educational attention may be necessary for children with poor motor ability.
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Author Information
  • Graduate School of Business Administration and Computer Science, Aichi Institute of Technology, Toyota City, Aichi, Japan

  • Graduate School of Business Administration and Computer Science, Aichi Institute of Technology, Toyota City, Aichi, Japan

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