Physiological anthropometric and motor values in relation to 500 metres running

BEKOLLI, L., RAMABAJA, Q., RASHITI, N., SHKODRA, M. & HETA, G. Physiological anthropometric and motor values in relation to 500 metres running. Links and risk factors. Journal of Education, Health and Sport. 2023;17(1):27-36. eISSN 2391-8306. DOI http://dx.doi.org/10.12775/JEHS.2023.17.01.003

https://apcz.umk.pl/JEHS/article/view/43029

https://zenodo.org/record/7775362

The journal has had 40 points in Ministry of Education and Science of Poland parametric evaluation. Annex to the announcement of the Minister of Education and Science of December 21, 2021. No. 32343.

Has a Journal's Unique Identifier: 201159. Scientific disciplines assigned: Physical Culture Sciences (Field of Medical sciences and health sciences); Health Sciences (Field of Medical Sciences and Health Sciences).

Punkty Ministerialne z 2019 - aktualny rok 40 punktów. Załącznik do komunikatu Ministra Edukacji i Nauki z dnia 21 grudnia 2021 r. Lp. 32343. Posiada Unikatowy Identyfikator Czasopisma: 201159.

Przypisane dyscypliny naukowe: Nauki o kulturze fizycznej (Dziedzina nauk medycznych i nauk o zdrowiu); Nauki o zdrowiu (Dziedzina nauk medycznych i nauk o zdrowiu).

© The Authors 2023;

This article is published with open access at Licensee Open Journal Systems of Nicolaus Copernicus University in Torun, Poland

Open Access. This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author (s) and source are credited. This is an open access article licensed under the terms of the Creative Commons Attribution Non commercial license Share alike.

(http://creativecommons.org/licenses/by-nc-sa/4.0/) which permits unrestricted, non commercial use, distribution and reproduction in any medium, provided the work is properly cited.

The authors declare that there is no conflict of interests regarding the publication of this paper.

Received: 10.03.2023. Revised: 14.03.2023. Accepted: 27.03.2023. Published: 27.03.2023.

PHYSIOLOGICAL ANTHROPOMETRIC AND MOTOR VALUES IN RELATION TO 500 METRES RUNNING

Bekolli L.¹, Ramabaja Q.², Rashiti N.¹, Shkodra M.³, Heta G.³

¹University of Prishtina, Faculty of Physical Education and Sport, Prishtina,Kosova

²“Ss, Cyril and Methodius” in Skopje-Facultety of Physical Education, Sport and Health

³University of Tetov, Faculty of Physical Education and Sport, Macedonia

Abstract

The primary purpose of this paper is to determine and prove the impact of loads with different intensities on the treadmill on the heart frequency, as well as to prove the relationship and impact of some anthropometric and motor parameters on the physiological one in the manifest space. In harmony with the purpose of the research, three basic hypotheses have been presented that cover the anthropological research fields. In this paper, 19-year-old students of the Faculty of Sports Sciences are included. To achieve the purpose of the paper, a sample of 80 students who were regular students during the year 2022/2023 was included. Four anthropometric variables, three motor tests (running tests) and four physiological tests (pulse at rest and during loads) are included in this paper. For the three groups of the system of variables, the basic statistical and distribution parameters for each variable, as well as the measures of asymmetry and normal distribution, were calculated. Then the correlations between the variables in the manifest space, as well as the correlations between the system of variables. In order to determine the relationship between predictor variables (anthropometric and motor characteristics) and criterion variables (results of functional skills), regression analysis was applied in the manifest space. The processing of the results shows that the obtained values do not deviate from the normal distribution, which completes their metric characteristics. The impact of morphological and motor factors on heart rate results has not been proven.

Key words: anthropometric characteristics, motor skills, physiological, regression analysis.