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2014 | 15 | 1 | 56-59
Tytuł artykułu

Prediction of vo2max based on age, body mass, and resting heart rate

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose. The aim of the present study was to develop a non-exercise regression model for predicting maximal oxygen uptake (VO2max) using age, body mass, and resting heart rate as predictor variables. Methods. The VO2max of 1502 active football players aged 16-35 years was measured using the Astrand Bike Test. The obtained data were analyzed by calculating basic statistical parameters and performing correlation and regression analysis. Results. The results of regression analysis indicated that all three independent variables could significantly (p = 0.000) predict the VO2max of the studied athletes. Measured VO2max showed significant correlation (0.688) with predicted VO2max. Student’s paired samples t test indicated no significant differences between measured VO2max and predicted VO2max (p = 0.782). Conclusions. The results suggest that the nonexercise variables of age, body mass, and resting heart rate, may significantly predict the endurance abilities of athletes (VO2max).
Wydawca
Czasopismo
Rocznik
Tom
15
Numer
1
Strony
56-59
Opis fizyczny
Daty
wydano
2014-03-01
online
2014-04-12
Twórcy
  • Sport Center for Increasing of Morpho-Functional Abilities, Fitness & Nutrition ‘Corpore Sano”, Prishtina, Kosovo , agronmrexhepi@gmail.com
  • Faculty of Special Education and Rehabilitation, University of Zagreb, Zagreb, Croatia
Bibliografia
  • 1. McArdle W.D., Katch F.I., Katch V.L., Exercise physiology. 4th ed. Lippincott Williams & Wilkins, Baltimore 1996.
  • 2. Rexhepi A.M., Mjekësia Sportive - Sports Medicine [in Albanian]. Mozaiku, Prishtina 2009, 117-134.
  • 3. Hill A.V., Lupton H., Muscular exercise, lactic acid, and the supply and utilization of oxygen. QJM, 1923, 16 (62), 135-171, doi: 10.1093/qjmed/os-16.62.135.[Crossref]
  • 4. Assessing Cardiorespiratory Endurance. Available from: URL: http://academic.wsc.edu/faculty/taeveto1/ped470/lecture/ppt/aerobic.ppt#338,1,Assessing Cardiorespiratory Endurance (Accessed: 11/02/2012).
  • 5. Astorino T.A., Robergs R.A., Ghiasvand F., Marks D., Burns S., Incidence of the oxygen plateau at VO2max during exercise testing to volitional fatigue. JEPonline, 2000, 3 (4), 1-12.
  • 6. Liverpool John Moores University. Fitness Testing. Available from: URL: https://www.ljmu.ac.uk/ECL/digitalresources/86831.htm (Accessed: 02/02/2012).
  • 7. Wasserman K., Principles of exercise testing and interpretation. 2nd ed. Lea & Febiger, Pennsylvania 1994, 53-61.
  • 8. Powers S.K., Howley E.T., Exercise physiology. 4th ed. McGaw-Hill Comp, New York 2001, 279-292.
  • 9. Rexhepi A., Brestovci B., Comparison of the 3’Bike Test with the Astrand Bike Test by VO2max. Hum Mov, 2011, 12 (4), 348-352, doi: 10.2478/v10038-011-0040-8.[Crossref]
  • 10. Stykes K., Roberts A., The Chester step test - a simple yet effective tool for the prediction of aerobic capacity. Physiother, 2004, 90 (4), 183-188, doi: 10.1016/j.physio. 2004.03.008.[Crossref]
  • 11. Akalan C., Robergs R.A., Kravitz L., Prediction of VO2max from an individualized submaximal cycle ergometer protocol. JEPonline, 2008, 11 (2), 1-17.
  • 12. Sanada K., Midorikawa T., Yasuda T., Kearns C.F., Abe T., Development of non-exercise prediction models of maximal oxygen uptake in healthy Japanese young men. Eur J Appl Physiol, 2007, 99 (2), 143-148, doi:10.1007/s00421-006-0325-3.[Crossref][WoS]
  • 13. Stahn A., Terblanche E., Grunert S., Strobel G., Estimation of maximal oxygen uptake by bioelectrical impedance analysis. Eur J Appl Physiol, 2006, 96 (3), 265-273, doi: 10.1007/s00421-005-0025-4.[Crossref][PubMed]
  • 14. Moon J.R., Dalbo V.J., Roberts M.D., Kerksick Ch.M., Stout J.R., Usefulness of Bioelectrical Impedance in the Prediction of VO2max in Healthy Men and Women. Sport J, 2011, 14 (1).
  • 15. Southard T.L., Pugh J.W., Effect of hydration state on heart rate-based estimates of VO2max. JEPonline, 2004, 7 (1), 19-25.
  • 16. Fitzgerald M.D., Tanaka H., Tran Z.V., Seals D.R., Agerelated declines in maximal aerobic capacity in regularly exercising vs. sedentary women: a meta-analysis. J Appl Physiol, 1997, 83 (1), 160-165.
  • 17. American College of Sports Medicine. ACSM’s guidelines for exercise testing and prescription. 6th ed. Williams & Wilkins, Baltimore 2000.
  • 18. NLREG. Understanding the results of an analysis. Available from: URL: http://nlreg.com/results.htm (Accessed: 12/02/2012).
  • 19. Princeton University. Data and statistical services - Interpreting regression output, 2007. Available from: URL: http://dss.princeton.edu/online_help/analysis/interpreting_regression.htm (Accessed: 12/02/2012).
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.-psjd-doi-10_2478_humo-2014-0003
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