Prediction of Time to Exhaustion at Different Speeds Based on Some Physiological and Anthropometric Parameters in Young Men

Document Type : Research Paper

Authors

1 M.Sc. Student of Exercise Physiology, Hakim Sabsevari University

2 Professor of Exercise Physiology, Hakim Sabsevari University

3 Associate Professor of Exercise Physiology, Hakim Sabsevari University

4 Ph.D. Student in Exercise Physiology, Hakim Sabsevari University

Abstract

The purpose of this study was to predict the time to exhaustion based on some physiological and anthropometric parameters in young men. A total of 75 male students (20.74±1.22 years, 67.25±10.78 kg, and 174.3±0.06 cm) were selected using convenience (availability, maximal oxygen uptake 47/1±3/29 ml/kg/m-1) sampling. Firstly, anthropometric variables and physiological parameters involving lactate threshold, aerobic and anaerobic power, resting heart rate, physical activity, velocity at maximal oxygen uptake, lower-body endurance as well as strength and lower-body explosive power were measured. Also, to measure the heart rate, O2 saturation and running time, all subjects participated in a bout of treadmill running to exhaustion at four different speeds (8, 10, 12, and 14 km/h-1), with slope set at zero. The results show the velocity at maximal oxygen uptake, heart rate, resting heart rate, physical activity, and lower-body explosive power predicted time to exhaustion at a speed of 8 km/h-1(P≤0.05). The velocity at maximal oxygen uptake, running history, resting heart rate, V. lactate, and weight predicted time to exhaustion at a speed of 10 km/h-1 (P≤0.05),V. lactate, running history, weight, resting heart rate and maximum power time to exhaustion at a speed of 12 km/h-1 (P≤0.05), Thevelocity at maximal oxygen uptake, physical activity, weight, maximum power, and running history were the prediction factors of time to exhaustion at a speed of 14 km/h-1 (P≤0.05). The velocity at maximal oxygen uptake, resting heart rate and running history were common at most speeds. According to the results of time to exhaustion, the velocity at maximal oxygen uptake, running history, resting heart rate, and lactate thresholds can be used.

Keywords

Main Subjects

References

  1. Hajinia M, Hamedinia MR, Haghighi AH. The relationship between aerobic power to physical activity levels and anthropometric factors among 12-16 years old boys. Spj. 2014;6(23):55-68. (In Persian).
  2. Rexhepi AM, Brestovci B. Prediction of vo2max based on age, body mass, and resting heart rate. humo. 2014;15(1):56-9.
  3. Okuno NM, Soares-Caldeira LF, Milanez VF, Perandini LAB. Predicting time to exhaustion during high-intensity exercise using rating of perceived exertion. Sci Sports. 2015;30(6):155-61.
  4. Tanda G. Prediction of marathon performance time on the basis of training indices. jhse. 2011;6(3):511-20.
  5. Nunes D. Accuracy of prediction of edurance running performance: relationship to training history, muscle pain and relative perception of effort )thesis(. )Cape Town(: University of Cape Town; 2014.
  6. Samson MM, Meeuwsen IB, Crowe A, Dessens JA, Duursma SA, Verhaar HJ. Relationships between physical performance measures, age, height and body weight in healthy adults. Age Ageing. 2000;29(3):235-42.
  7. Pires F, Noakes T, Lima-Silva A. Cardiopulmonary, blood metabolite and rating of perceived exertion responses to constant exercises performed at different intensities until exhaustion. Br J Sports Med. 2011;45(11):19–25.
  8. Gosztyla A E, Edwards D G, Quinn T J, Kenefick R W. The impact of different pacing strategies on five-kilometer running time trial performance. J Strength Cond Res. 2006;20(4):882-6.
  9. Billat V, Lepretre PM, Heugas AM, Laurence MH, Salim D, Koralsztein JP. Training and bioenergetic characteristics in elite male and female Kenyan runners. Med Sci Sports Exerc. 2003;35(2):297-304.
  10. Legaz A, Munguia D, Serveto J R. Physiological measures associated with marathon running performance in high-level male and female homogeneous groups. Int J Sports Med. 2006;27:289–95.
  11. Barandun U, Knechtle B, Knechtle P, Klipstein A, Rüst C A, Rosemann T, et al. Running speed during training and percent body fat predict race time in recreational male marathoners. J Sports Med. 2012;3:51-8.
  12. Bragada JA, Santos PJ, Maia JA, Colaço PJ, Lopes VP, Barbosa TM. Longitudinal study in 3,000 m male runners: Relationship between performance and selected physiological parameters. J Sports Sci Med. 2010;9(3):439-44.
  13. Almarwaey OA, Jones AM, Tolfrey K. Physiological correlates with endurance running performance in trained adolescents. Med Sci Sports Exerc. 2003;35(3):      480-7.
  14. Matsuzaka A, Takahashi Y, Yamazo M, Kumakura N, Ikeda A, Wilk B, et al. Validity of the multistage 20-mShuttle-run test for Japanese children, adolescents, and adults. Pediatr Exerc Sci. 2004;16(2):113-25.
  15. Czuba M, Zając A, Cholewa J, Poprzęcki S, Waśkiewicz Z, Mikołajec K. Lactate threshold (D-max method) and maximal lactate steady state in cyclists. J Hum Kinet. 2009;21:49-56.
  16. Mortezavand S, Siahkouhian M, Bolboli L. The effect of loading pattern in the exhaustive protocols on anaerobic threshold of sedentary young girls. J Sport Bio Sci. 2013;7(1):5-13. (In Persian)
  17. Balčiūnas M, Stonkus S, Abrantes C, Sampaio J. Long term effects of different training modalities on power, speed, skill and anaerobic capacity in young male basketball players. J Sports Sci Med. 2006;5(1):163-70.
  18. Ranjbar R, Kordi M, Gaeini AA. The effect of caffeine ingestion on anaerobic power: Fatigue index and blood lactate levels in boys athlete students. biosport J. 2009;1(1):123-36. (In Persian).
  19. Naharudin MN, Yusof A. Fatigue index and fatigue rate during an anaerobic performance under hypohydrations. PloS one. 2013;8(10):1-7.
  20. Pereira MIR, Gomes PSC. Muscular strength and endurance tests: Reliability and prediction of one repetition maximum: Review and new evidences. Revista Brasileira de Medicina do Esporte. 2003;9(5):32535.
  21. Brzycki MA. Practical approach to strength training. 2th ed. Indianapolis: Master Press; 1995.
  22. Toth B, Becker A, Seelbach-Göbel B. Oxygen saturation in healthy newborn infants immediately after birth measured by pulse oximetry. Arch Gynecol Obstet. 2002; 266(2):105-7.
  23. Hoffman J. Norms for Fitness, Performance and health. Champaign, Ill: Human Kinetics; 2006.
  24. Baecke J, Burema J, Frejters J. A short questionnaire for the measurement of habitual activity in epidemiological studies Am J Clin Nutr. 1982;36(5):936-42.
  25. Takeshima N, Tanaka K. Prediction of endurance running performance for middle-aged and older runners. Br J Sports Med. 1995;29(1):20–3.
  26. Dellagrana R A, Guglielmo L G, Santos B V, Hernandez S G, Da Silva S G, De Campos W. Physiological, anthropometric, strength, and muscle power characteristics correlates with running performance in young runners. J Strength Cond Res. 2015;29(6):1584-91.
  27. Whalley GA, Doughty RN, Gamble GD, Oxenham HC, Walsh HJ, Reid IR, et al. Association of fat-free mass and training status with left ventricular size and mass in endurance-trained athletes. J Am Coll Cardiol. 2004;44(4):892-6.
  28. Gutin B, Torrey K, Welles R, Vytvytsky M. Physiological parameters related to running performance in college trackmen. J Hum Ergol. 1975;4(1):27-34.
  29. Legaz A, Eston R. Changes in performance, skin fold thicknesses and fat patterning after three years of intense athletic conditioning in high level runners. Br J Sports Med. 2005;39(11):851-6.
  30. Cole AS, Woodruff ME, Horn MP, Mahon AD. Strength, power, and aerobic exercise correlates of 5-km cross-country running performance in adolescent runners. Pediatric Exercise Sci. 2006;18(3):374-84.
  31. Houmard JA, Costill DL, Mitchell JB, Park SH, Chenier TC. The role of anaerobic ability in middle distance running performance. Eur J Appl Physiol Occup Physiol.1991;62(1):40-3.
  32. Paavolainen L, Hakkinen K, Hamalainen I, Nummela A, Rusko H. Explosive-strength training improves 5-km running time by improving running economy and muscle power. J Appl Physiol. 1999;86(5):1527-33.
  33. Jaric S. Role of body size in the relation between muscle strength and movement performance. Exerc Sport Sci Rev. 2003;31(1):8-12.
  34. Verney J, Kadi F, Saafi MA, Piehl-Aulin K, Denis C. Combined lower body endurance and upper body resistance training improves performance and health parameters in healthy active elderly. Eur J Appl Physiol. 2006;97(3):288-97.
  35. Hawley JA, Noakes TD. Peak power output predicts maximal oxygen uptake and performance time in trained cyclists. Eur J Appl Physiol Occup Physiol. 1992;65(1):79-83.
  36. Bentley DJ, McNaughton LR, Thompson D, Vleck VE, Batterham AM. Peak power output, the lactate threshold, and time trial performance in cyclists. Med Sci Sports Exerc. 2001;33(12):2077-81.
  37. Ansley L, Marvin G, Sharma A, Kendall MJ, Jones DA, Bridge MW. The effects of head cooling on endurance and neuroendocrine responses to exercise in warm conditions. Physiol Res. 2008;57(6):863-72.
  38. Noakes TD, Gibson ASC, Lambert EV. From catastrophe to complexity: A novel model of integrative central neural regulation of effort and fatigue during exercise in humans. Br J Sports Med. 2004;38(4):511-4.
  39. Baumann CW, Brandenberger KJ, Ferrer DA, Otis JS. Physiological parameters associated with 24 hour run performance. Intl J Sport Std. 2014;4(12): 1450-4.
  40. Yoshida T, Udo M, Iwai K, Yamaguchi T. Physiological characteristics related to endurance running performance in female distance runners. J Sports Sci. 1993;11(1):57-62.
  41. Roecker K, Schotte O, Niess AM, Horstmann T, Dickhuth HH. Predicting competition performance in long-distance running by means of a treadmill test. Med Sci Sports Exerc. 1998;30(10):1552-7.
  42. Stuessi C, Spengler C M, KnoÈpfli-Lenzin C, Markov G, Boutellier U. Respiratory muscle endurance training in humans increases cycling endurance without affecting blood gas concentrations. Eur J Appl Physiol. 2001;84(6):582-6.
Sport Physiology
Volume 10, Issue 39
Fall 2018
November 2019
Pages 143-164

Files

History

  • Receive Date: 08 January 2018
  • Revise Date: 28 May 2018
  • Accept Date: 10 June 2018

Share

How to cite

Statistics