The Contribution of Some Anthropometric Measurements and Pulmonary Volumes to The Digital achievement of the Sprint 400-meter Competition Among Elite Runners in Palestine

Year 2024, Volume: 7 Issue: 3, 541 - 550, 25.05.2024

Loai Hanon , Hamed Salameh , Ali Qadoume , Motasem Abualia , Khaled Qadoume , Riadh Khalifa

https://doi.org/10.33438/ijdshs.1433544

Cited By: 2

Abstract

The study aimed to identify the contribution of some anthropometric measurements and pulmonary volumes to the digital achievement of the sprint 400-meter running distance among elite runners in Palestine. A total of 18 elite runners in Palestine, (age: 20.16+1.15 years; body mass: 67.75+5.04 kg; height: 173.11+6.01 m; body mass index (BMI):23.3 +3.1 kg/m2) were categorized as. Anthropometric measurements and Pulmonary volume measurements were taken (VC, FVC, FEV1, FWV1/FVC%, MVV, TV, RV, IC). The authors used Multiple linear Regression. Simple Linear Regression (T) and (Beta) to determine the regression line equation. It was determined that there was no statistically significant relationship between some anthropometric measurements (≤0.05). In order to determine the contribution of measurements chest circumference (r=*0.599), chest circumference (r=*0.573) in inspiration, thigh circumference (r=*0.773) calf (Gastrocnemius) muscle circumference(r=*0.554) it was determined that there was a statistically significant relationship between the digital success of the 400 meter sprint run. It was determined that there was no statistically significant relationship (α≤0.05) between lung volume measurements (FVC, FEV1, FWV1/FVC%, MVV). It was determined that there was no statistically significant relationship (α≤0.05) between lung volume measurements (FVC, FEV1, FWV1/FVC%, MVV). However, VC (p = 0.00); It was determined that there was a significant relationship in terms of (R2 = 0.616). In conclusin researchers recommend the necessity of using the predictive equations that have been developed as a predictor of digital achievement in the sprint 400-meter running competition.

Keywords

Pulmonary volume measurements, numerical achievement, sprint 400-meter running competition.

References

• Al-Dhiabat, N., & AlDhiabat, A. (2014). The relationship of anthropometric and physical measurements to the digital achievement of female petanque players. Al-Aqsa University Journal, 18(2), 90-107. [CrossRef]
• Ali, E., & Nasser, A. (2016). Percentage of the contribution of anthropometric measurements to the stability tests of the broad and vertical jump. Contemporary Sports Journal, College of Physical Education and Sports Sciences for Girls, University of Baghdad, 15 (2), 1-8. [CrossRef]
• Anonymous, Z. (2006). The percentage of contribution of some physical characteristics and body measurements to the achievement of running the 110-meter hurdles by isolating the effect of skill performance. (Unpublished master’s thesis), College of Physical Education, Al-Qadisiyah University, Iraq
• Can, O. (2010). Four Weeks of Respiratory Muscle Training Improves Intermittent Recovery Performance but Not Pulmonary Functions and Vo2 Max Capacity in Young Soccer Players. (Unpublished Dissertation), Middle East Technical University, Department of Physical Education and Sports; Orta Dogu Teknik Universitesi, Cankaya, Ankara, Turkiye
• Cheng, Y., Macera, C., Addy, C., Wieland, D., & Blair, S. (2003). Effects of physical activity on exercise tests and respiratory function. British Journal of Sports Medicine, 37(6), 521-528. [PubMed]
• Eime, R., et al. (2015). Integrating public health and sport management: SPORT participation trends 2001–2010. Sport Manag. Rev., 18(2), 207–217. [CrossRef]
• Falaschetti, E., Laiho J., Primatesta P., & Purdon, S. (2004). Prediction equations for normal and low Pulmonary function from the Health Survey for England. European Respiratory Journal, 23(3), 456-463. [PubMed]
• Folland, J., Allen, S., Black, M., Handsaker, J., & Forrester, S. (2017). Running technique is an important component of running economy and performance. Med. Sci. Sports Exerc., 49(7), 1412–1423. [PubMed]
• Goswami, N. (2013). Prediction of performance ability of sprinters, jumpers and throwers in relation to selected motor fitness components and physiological variables. Peer Reviewed Research Journal, 1(1), 86-98. [CrossRef]
• Gursavek, S., & Mishra, P. (2012). Relationship of Selected Anthropometric Measurements and Physical Variables to Performance in Triple Jump. Indian Journal of Movement Education and Exercises Sciences, 2(2), 2249-6246. [CrossRef]
• Guyton, A., & Hall, J. (2014). Metabolism and temperature regulation, in Arthur C. Guyton & John E. Hall, Medical physiology textbook (12th ed). Singapore: Saunders Elsivier, responsible for the translation of Ermita I. Ibrahim Ilyas.
• Janssen, M., Scheerder, J., Thibaut, E., Brombacher, A., & Vos, S. (2017). Who uses running apps and sports watches? Determinants and consumer profiles of event runners’ usage of running-related smartphone applications and sports watches. PLoS One, 12(7), e0181167. [PubMed]
• Janssen, M., et al. (2020). Understanding different types of recreational runners and how they use running-related technology. Int J Environ Res Public Health, 17(7), 2276. [PubMed]
• Khosravi, M., Tayebi, S., & Safari, H. (2013). Single and concurrent effects of endurance and resistance training on pulmonary function. Iran J Basic Med Sci, 16(4), 628-634. [PubMed]
• Laumets, R., et al. (2017). Lower leg length is associated with running economy in high level Caucasian distance runners. J. Hum. Kinet., 15, 229–239. [PubMed]
• Mazic, S., Lazovic, B., Djelic, M., Suzic-Lazic, J., Djordjevic-Saranovic, S., Durmic, T., Soldatovic, I., Zikic, D., Gluvic, Z., & Zugic, V. (2014). Respiratory parameters in elite athletes - does sport have an influence?. Revista Portuguesa de Pneumología, 21(4), 192-197. [PubMed]
• Mishra, M., & Rathore, V. (2016). Anthropometric variables as predictors of speed ability of physical education students. International Journal of Physical Education, Sports and Health, 3(1), 140-144. [CrossRef]
• Omelchenko, O., Dolbysheva, N., Kovtun, A. Koshcheyev, A., Tolstykova, T., Burdaiev, K., & Solodka, O. (2023). Evaluation of respiratory function indicators of elite athletes in academic rowing using the method of computer spirography. Pedagogy of fhysical culture and sport, 27(2), 173- 182. [CrossRef]
• Parseh, A. & Solhjoo, M. (2015). Studying the Relationship Between Body Mass Index With Speed, Agility And Balange In Male Students Of 15- 13 Years Old. Indian Journal of Fundamental and Applied Life Sciences, (S2), 382-387. [CrossRef]
• Pavlović, R., & Kozina, Z. (2022). Differences in anthropometric characteristics and body composition of athletes in cyclic endurance-type activities: A case study. J. Adv. Sport Phys. Educ., 5(10), 225-234. [CrossRef]
• Pedersen, B., & Saltin, B. (2015). Exercise as medicine: Evidence for prescribing exercise as therapy in 26 different chronic diseases. Scand. J. Med. Sci. 25(S3), 1-72. [PubMed]
• Salama, H., & Khalifa, R. (2018). Contribution of some anthropometric, physical and physiological measurements in the level of digital achievement in a running for 400 meters for students in the field of physical education. The Swedish Journal of Scientific Research, 5(1), 12- 21. [CrossRef]
• Salameh, H. (2018). Contribution of some Anthropometric, Physical and Physiological Measurements in Athletics Performance level in some Track and Field events amongst physical education students at the University “Khadouri”.(Unpublished doctoral thesis), Higher Institute of Sport and Physical Education / Al-Said Palace, Manouba University.
• Salameh, H.,Qadoume, A., & Abualia, M. (2020). Predictive ability of pulmonary volume measurements of the Physical Fitness Index among the players of team sports games at Palestine Technical University. Journal of Physical Education and Sport, 20(4), 1909- 1916. [CrossRef]
• Singh, L., & Malik, A. (2015). Selected anthropometric and physical fitness measures as predictors of performance in 400 meters track event. International Journal of Physical Education, Sports and Health, 1(4),70-72. [CrossRef]
• Singh, L., & Malik, A. (2015). Selected anthropometric and physical fitness measures as predictors of performance in 100 meters track event. International Journal of Physical Education, Sports and Health, 2(1), 86-86. [CrossRef]
• Zapartdis, I., Vareltizis, I., Gouvali, M., & Kororos, P. (2009). Physical fitness and anthropometric characteristics in different levels of young team handball players. The Open Sport Sciences Journal, 2(1), 22- 28. [CrossRef]
• Zar, A., Gilani, A., Ebrahim1, K., & Gorbani, M. (2008). Asurey of the physical fitness of the male taekwondo athletes of the Iranian national team. Series Physical Education and Sport, 6(1), 21-29.