Purpose: The aim of this study was to provide a new model for a new model for predicting 200, 400, 800, 1500, and 5000 m running records on the Fox & Matthews energy systems in young men. Methods: Fifty active young men (mean ± SD age of 18.11 ± 1.98 years, Height: 171.89 ± 3.27 cm, BMI: 21.11 ± 1.76 kg/m2, VO2max: 51.08 ± 3.67 ml/kg/min) are purposefully selected and were randomly divided into 5 groups. 100 and 10,000 meters records of all subjects were measured in two separate sessions at least with an interval of 72 hours. Then the subject’s 200, 400, 800, 1500, 5000 m running times in each group were recorded with an interval of 72 hours. Finally, the records were calculated using the equations based on Fox & Matthews energy systems. Bland-Altman graphical plots as well as the intraclass correlation coefficient (ICC) statistical tests were used to evaluate the absolute agreement of the methods. Results: The results showed predictive equations have high agreement with the criterion model (200 m ICC= 0.85, 400 m ICC= 0.83, 800 m ICC= 0.86, 1500 m ICC=0.89 and 500 m ICC=0.81). Conclusion: According to the results of this study it can be concluded that the new model for predicting 200, 400, 800, 1500, and 5000 m running records can be used as a practical tool for predicting of distance running records among track and field athletes.
Guthrie, Mark. (2003). âCoaching track & field successfullyâ. United states , Human Kinetics.
.Asadi. H, Jalal. H, Nazari V. Determine and study the development of athletics championship of Experts Coaches and athletes, Research in exercise physiology and management. 2013;12(1):9-23.
Bompa. O. Periodization Theory and Methodologyof Trainin. Translated by Kordi. M, Framarzi. M, samt press. 2014;1-564.
Bayat M, Kalhor A, Shadmehr B, Soghadi J, Ebrahimi A. track and field, the publisher samt.1390;(3):1-384
Fox. L. F, Matthews. D. K. (1981) .The Physiological Basic of Physiological Education and Athletics. Khaledan A. University of Tehran. 1390; 15(1): 1-416
Mackenzie. B. (2001) 10km Training Program [WWW] Available from: http:// www.brianmac.co.uk/longdist/tp10k.htm [Accessed 5/5/2016]
Mackenzie. B. (2001) Long Distance Running [WWW] Available from: http:// www. brianmac.co.uk/longdist/index.htm [Accessele5/5/2016]
Mackenzie. B. (2002) 3km Training [WWW] Available from: http ://www .brianmac .co.uk/longdist/tp3k.htm [Accessed 5/5/2016]
Mackenzie. B. (2001) 1500 metre Predictor Test [WWW] Available from: http:// www. brianmac.co.uk/pred1500.htm [Accessed 1/6/2016]
Mackenzie. B. (2005) 5km Predictor Test [WWW] Available from: http:// www .brianmac.co.uk/pred5k.htm [Accessed 1/6/2016
Mackenzie. B. (1997) Kosmin Test [WWW] Available from: http: //www. brianmac. co.uk/kosmin.htm [Accessed 1/6/2016]
McARDLE, W. et al. Essentials of Exercise Physiology. Philadelphia: Lippincott Williams & Wilkins. 2000; (1): 1-790
Beashel, P. & Taylor, J. Advanced Studies in Physical Education and Sport. UK: Thomas Nelson & Sons Ltd. 1996;(1): 1-443
Hargreaves M. (2006). Exercise Metabolism. Human Kinetics. Gaeeni A, Nazem F. Tehran. University of Tehran.(1378); (2):1-308[ in Persian]
Gregory Byron D, Shala ED.2008. ACSM health-related physical fitness assessment manual. Ameracan Callege of Sports Medicine.Talbi E, Safar zadeA, Fathi R. babolsar,university of mazandaran1390;(1):163_ 274[ in Persian]
Siahkouhian M, Hedayatneja M. Correlations of anthropometric and body composition variables with the performance of young elite weightlifters. Journal of Human Kinetics. 2010; 25:125-31
Bland, J. M. and D. G. Altman. "Measuring agreement in method comparison studies." Statistical methods in medical research. 1999; 8(2): 135-160
Bartko J. "The intraclass correlation coefficient as a measure of reliability." Psychological reports. 1966;19(1): 3-11.
Mackenzie. B. (2004) 400 metre Predictor Test [WWW] Available from: http: //www .brianmac .co.uk/pred40.htm [Accessed 1/6/2016]
Siahkohyan, M., Mosavi, S., & Memshali, E. (2019). A new method for predicting of 200, 400, 800, 1500, and 5000 m running records in active young men. Journal of Sport and Exercise Physiology, 12(1), 13-25. doi: 10.52547/joeppa.12.1.13
MLA
Maerfat Siahkohyan; Sohail Mosavi; Elahe Memshali. "A new method for predicting of 200, 400, 800, 1500, and 5000 m running records in active young men". Journal of Sport and Exercise Physiology, 12, 1, 2019, 13-25. doi: 10.52547/joeppa.12.1.13
HARVARD
Siahkohyan, M., Mosavi, S., Memshali, E. (2019). 'A new method for predicting of 200, 400, 800, 1500, and 5000 m running records in active young men', Journal of Sport and Exercise Physiology, 12(1), pp. 13-25. doi: 10.52547/joeppa.12.1.13
VANCOUVER
Siahkohyan, M., Mosavi, S., Memshali, E. A new method for predicting of 200, 400, 800, 1500, and 5000 m running records in active young men. Journal of Sport and Exercise Physiology, 2019; 12(1): 13-25. doi: 10.52547/joeppa.12.1.13
)