ANTHROPOMETRICAL CHARACTERISTICS STRUCTURE TO THE 16-YEAR-OLD MALE STUDENTS

Authors

  • Agron Thaqi University for Business and Technology, Department of Sport and Movement Science, 10000 Pristina, Kosovo

DOI:

https://doi.org/10.46827/ejpe.v7i4.4057

Keywords:

anthropometry, basic parameters, correlation, factor analysis

Abstract

The aim of the study is to determine the structure of some anthropometrical characteristics of children aged 16, living in Kosovo. The research was conducted on a sample of 110 male students of high school “Fehmi Lladrovci” in Gllogoc, the Republic of Kosovo. The sample of variable held eighteen anthropometric measures: four variables to estimate the dimensionality of the longitudinal skeleton, four variables to estimate the dimensionality of the transversal skeleton, four variables to estimate the volume of the body, four variables to estimate the skin folds of the body, body weight, and body mass index. The calculation of the data was made by using the SPSS 24 program. All morphological indicators have displayed different parameters that ranged from the lowest to the highest levels. The correlation analysis show that the coefficients of morphological variables are curved and appear as a homogeneous group with a high intercorrelation at the coefficient level of (p =0.01). Factor analysis has shown three latent factors, the first latent factor that has appeared is the anthropometric factor composed of longitudinal dimensionality, transversal dimensionality and body perimeter factors of skeleton. The second latent factor is composed of the skin folds, and the third factor is the anthropometric factor composed of body weight and body mass index.

 

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Author Biography

  • Agron Thaqi, University for Business and Technology, Department of Sport and Movement Science, 10000 Pristina, Kosovo
    Agron Thaqi, currently works as an Asst. Prof. Dr. at the UBT - Higher Education Institution. Sport and Movement Science. Agron does research on motor skills related to soccer, athlete, measuring sports performance, etc.

References

A. Thirumagal (2013). Challenges of Academic Library Management in Developing Countries, Pages: 10, DOI: 10.4018/978-1-4666-4070-2.ch020.

Bourgois J., Claessens A. L., Vrijens J., Philippaerts R., Renterghem B. V., Thomis M., Janssens M., Loos R., Lefevre J. (2002). Anthropometric characteristics of elite male junior rowers. British Journal of Sports Medicine; 34(3):213–217.

Bridger R. S. (1995). Introduction to ergonomics. Singapore: McGraw-Hill.

Dawal, S. Z., Zadry, H. R., Syed, A., Sharifah, N., Rohim, S. R., Sartika, S. J. (2012). Anthropometric Database for the Learning Environment of High School and University Students. International Journal of Occupational Safety and Ergonomics, 18(4), 461–472. doi:10.1080/10803548.2012.11076953.

ISAK, International Society for the Advancement of Kinanthropometry, 1986, www.isakonline.com.

Iseni, A., Kryeziu, A., Rexhepi, A. (2021). The Structure of Some Anthropometrical characteristics of 15-Year-Old Students UDC: 796.012.1:373.5-057.874(497.721).

Koley S. (2006). New Horizons in Kinanthropometry. New Delhi: Friends Publications.

Stewart, A. D. (2010). Kinanthropometry and Body Composition: a natural home for 3D photonic scanning. J. Sports Sci.28, 455-457.

Thomas, D., Erdman, K., & Burke, L. (2016). American College of Sports Medicine joint position statement. Nutrition and athletic performance. Medicine and Science in Sports and Exercise, 48(3), 543-568. https://doi.org/10.1249/MSS.0000000000000852.

World Health Organization (1995). The Use and Interpretation of Anthropometry; Report of a WHO Expert Committee; Technical Report Series; World Health Organization: Geneva, Switzerland; Volume 854.

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Published

2021-12-06

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