The Effectiveness of Physical Measurements in Distinguishing the Gradual Slope of High-Level and Low-Fitness Students

Authors

  • Shahad Subhi Mohamed Ghazal Faculty of physical Education and Sport Sciences, University of AL-Hamdania, Iraq
  • Haifa Hadi Saleh Department of Physical Education and Sports Science, AL-Noor University College, Iraq

DOI:

https://doi.org/10.31150/ajshr.v5i2.2680

Keywords:

physical measurements, slope, fitness

Abstract

Determining the physical measurements affecting the physical fitness of high- and low-level students using the gradient regression method. The two researchers used the descriptive approach in the survey method for its relevance and the nature of the research, and the research community consisted of female students from College and Departments of the Physical Education and Sports Sciences at Mosul and Hamdania university, and the research sample consisted of (153) female students distributed over the four stages. The two researchers used the following tests (the 20-meter sprint test from the high start, the test of sitting from lying down from the knees bent position during (10 seconds), the test of the wide skip of stability, the test of three hops for the right leg then the left for the farthest distance, and the test of throwing the medical ball weighing (3 kg) from the position Sitting on a chair in front of the chest, and a running-walking test of 400 meters. As for the physical measurements used (height - weight - length of the torso from sitting - arm length - leg length - chest width - hip width - thigh width - ulna width - shoulder width – perimeter humerus - Chest perimeter - waist perimeter - hip perimeter – calf perimeter - thickness of skin tuck behind humerus - thickness of the skin tuck under the shoulder - thickness of the skin tuck of the calf), and statistical means were used through the statistical bag spss, The conclusions are: Through differentiation analysis, it was possible to extract the physical measurements (height - weight - hip width - thigh width - humerus width - humerus perimeter - chest perimeter - waist perimeter - hip primeter- thickness of the skin tuck of the back of the humerus - thickness of the skin tuck of the calf). Through the Wilkes-Lambada test, it was possible to construct the estimated function = 14,699 + (thickness of the skin tuck of calf -0.107) + (length 0.073) + (weight -0.167) + (chest width 0.124).

References

Blomqvist S, Olsson J, Wallin L, Wester A, Rehn B. Adolescents with intellectual disability have reduced postural balance and muscle performance in trunk and lower limbs compared to peers without intellectual disability. Res Dev Disabil. 2013;34(1):198–206. doi: 10.1016/j.ridd.2012.07.008. [PubMed] [CrossRef] [Google Scholar]

Boreham, C., Robson, P.J., Gallagher, A.M., Cran, G.W., Savage, J.M. and Murray, L.J., 2004. Tracking of physical activity, fitness, body composition and diet from adolescence to young adulthood: The Young Hearts Project, Northern Ireland. International Journal of Behavioral Nutrition and Physical Activity, 1(1), p.14.

Browne, D.; Flanagan, E. Reactive Strength Endurance: Part 1 The response of reactive strength to fast stretch-shortening cycle

Chelladurai, P. (2014). Managing organizations for sport and physical activity: A systems perspective (4th ed.). New York, NY: Routledge. Chelladurai, P., & Chang, K. (2000). Targets and standards of quality in sport services. Sport Management Review, 3(1), 1–22. doi:10.1016/S1441-3523(00)70077-5

Curram, S.P., Mingers, J., 1994. Neural networks, decision tree induction and discriminant analysis: an empirical comparison. J. Oper. Res. Soc. 45 (4), 440–450.

Deutsch MU, Maw GJ, Jenkins D, Reaburn P. Heart rate, blood lactate and kinematic data of elite colts (under-19) rugby union players during competition. J Sports Sci. 1998 ;16:561–570.

Docherty D, Wenger HA, Neary P. Time-motion analysis related to the physiological demands of rugby. J Hum Mov Stud. 1988 ;14:269–277.

DUFFIELD, R.; DAWSON, B. & GOODMAN, C. (2005). Energy system contribution to 400 metre track running. Journal of Sports Sciences, 23, 299-307 .

Kerr, A. and Sayers, M., “Influence of load on expressions of upper body power during medicine ball throws,” Journal of Fitness Research, 2(2). 49-56. Jan 2013.

Lucertini F, Spazzafumo L, De Lillo F, Centonze D, Valentini M, Federici A. Effectiveness of professionally-guided physical education on fitness outcomes of primary school children. Eur J Sport Sci. 2013;13(5):582–590. doi: 10.1080/17461391.2012.746732. [PubMed] [CrossRef] [Google Scholar]

Marzban, C., Paik, H., Stumpf, G., 1997. Neural networks versus Gaussian discriminant analysis. AI Appl. 11 (1), 49–58.

Morrow, J., Jackson, A., Disch, J., and Mood, D., Measurement and Evaluation in Human Performance. Champaign, IL: Human Kinetics, 2011.

Rejeski, W. and Kenney, E. (1989). Fitness motivation. 1st ed. Leeds: Human Kinetics, p.3 - 7.

Robert Wood, "20 meter dash." Topend Sports Website, 2008, https://www.topendsports.com/testing/tests/sprint-20meters.htm, Accessed 18 May 2022

Roe, G., Shaw, W., Darrall-Jones, J., Phibbs, P.J., Read, D., Weakley, J.J., Till, K., and Jones, B., “Reliability and validity of a medicine ball-contained accelerometer for measuring upper-body neuromuscular performance,” Journal of Strength and Conditioning, 32 (7). 1915-1918, July 2018.

Sato, K., Carroll K.M., Wagle, J.P., Lang, H.M., Smith, A.P., Abbott, J.C., Hierholzer, K.M., and Stone, M.H., “Validation of inertial sensor to measure velocity of medicine balls,” Journal of Trainology, 7 (1). 16-20. 2018

Sayers, M., and Bishop, S., “Reliability of a New Medicine Ball Throw Power Test,” Journal of Applied Biomechanics, 33. 311-315. 2017.

Taeymans J, Clarys P, Abidi H, Hebbelinck M, Duquet W. Developmental changes and predictability of static strength in individuals of different maturity: a 30-year longitudinal study. J Sports Sci. 2009;27(8):833–841. doi: 10.1080/02640410902874711. [PubMed] [CrossRef] [Google Scholar]

Young, W. (1995). A simple method for evaluating the strength qualities of the leg extensor muscles and jumping abilities. Strength and Conditioning Coach .

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Published

2024-02-20

How to Cite

Ghazal, S. S. M. ., & Saleh, H. H. . (2024). The Effectiveness of Physical Measurements in Distinguishing the Gradual Slope of High-Level and Low-Fitness Students. American Journal of Social and Humanitarian Research, 5(2), 77–83. https://doi.org/10.31150/ajshr.v5i2.2680

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