Exercise Intensity in Track and Level-grade Treadmill Running: A Cross-over Longitudinal Study in Well-trained Athletes


  •   Aldo F. Longo

  •   Enrique O. Prada

  •   Marcelo L. Cardey

  •   Gustavo D. Aquilino


Heart rate is a conventional indicator of exercise intensity. Diverse studies have reported results of the comparison between the heart rate responses attained during running overground and on a treadmill; non-unanimous conclusions have emerged. The intention of this study was to compare the exercise intensity through heart rate between progressive running tests performed on track and level-grade treadmills. The heart rate responses of twelve highly trained male athletes were analyzed (Age = 24.3±2.7 years). The running protocol had initial and final speeds of 11 km·h−1 and 18 km·h−1, and increments of 0.5 km·h−1 every 200 m. Two tests were performed: on an outdoor 400 m track, and a level-grade motorized treadmill under laboratory conditions. An innovative data analysis approach was proposed, by using a linear mixed-effects model, with the Test and Speed stage and their interaction as fixed factors, and the Subject as a random factor; a suitable correlation structure was also specified. The statistical significance level was set at p < 0.05. The difference between tests was not significant (F = 0.06, p = 0.81). The interaction effect between the Test and Speed stage was also not significant (F = 1.32, p = 0.19). Exercise intensity as measured by heart rate showed similar mean responses in track and level-grade treadmill running across a wide range of speeds in well-trained athletes.

Keywords: Exercise intensity, Heart rate, Progressive run, Track and level-grade motorized treadmill


American College of Sports Medicine. (2014). Guidelines for graded exercise testing and exercise prescription. 9th ed. Philadelphia, PA: Lippincott Williams & Wilkins.

Borg, G. A. V. (1962). Physical performance and perceived exertion. Lund, Sweeden: Gleerup.

Borg, G. A. V. (1970). Perceived exertion as an indicator of somatic stress. Scand J Rehabil Med, 2-3, 92-98.

Brookes, F. B., Knibbs, A. A., Pantlin, C. M., & Wilson, J. K. (1971). An investigation into the biomechanical and physiological differences between road and treadmill running. Res Pap Phys Educ, 2(2), 28-35.

Ceci, R., & Hassmén, P. (1991). Self-monitored exercise at three different RPE intensities in treadmill vs field running. Med Sci Sports Exerc, 23(6), 732-738. https://doi.org/10.1249/00005768-199106000-00013.

Chu, C. Y., Lu, S. Y., & Lin, K. F. (2010). Influences of exercise experience and exercise settings on heart rate responses during self-selected intensity exercises. J Exerc Sci Fit, 8(2), 73-77. https://doi.org/10.1016/S1728-869X(10)60011-1.

Cooper, K. H. (1968). A means of assessing maximal oxygen intake. Correlation between field and treadmill testing. J Amer Med Assoc, 203(3), 201-204. DOI: 10.1001/jama.1968.03140030033008.

Di Michele, R., Di Renzo, A. M., Ammazzalorso, S., & Merni, F. (2009). Comparison of physiological responses to an incremental running test on treadmill, natural grass, and synthetic turf in young soccer players. J Strength Cond Res, 23(3), 939-945. DOI: 10.1519/JSC.0b013e3181a07b6e.

Gibson, A. L., ‎Wagner, D., & ‎Heyward, V. (2019). Advanced fitness assessment and exercise prescription. 8th ed. Champaign, IL: Human Kinetics.

Jones, A. M., & Doust, J. H. (1996). A 1% treadmill grade most accurately reflects the energetic cost of outdoor running. J Sports Sci, 14(4), 321-327. https://doi.org/10.1080/02640419608727717.

Kenney, L., Wilmore, J. H., & Costill, D. L. (2019). Physiology of sport and exercise. 7th ed. Champaign, IL: Human Kinetics.

Köklü, Y., Alemdaroğlu, U., Demirhan, R., & Arslan, Y. (2020). A comparison of incremental running field and treadmill tests in young soccer players. J Hum Kinet, 73, 193-201. https://doi.org/10.2478/hukin-2019-0143.

Kunduracioglu, B., Guner, R., Ulkar, B., & Erdogan, A. (2007). Can heart rate values obtained from laboratory and field lactate tests be used interchangeably to prescribe exercise intensity for soccer players? Adv Ther, 24(4), 890-902. https://doi.org/10.1007/BF02849982.

Liu, X. (2015). Methods and applications of longitudinal data analysis. New York, NY: Academic Press.

Maksud, M. G., Coutts, K. D., & Hamilton, L. H. (1971). Time course of heart rate, ventilation, and V̇O2 during laboratory and field exercise. J Appl Physiol, 30(4), 536-539. https://doi.org/10.1152/jappl.1971.30.4.536.

McMurray, R. G., Berry, M. J., Vann, R. T., Hardy, C. J., & Sheps, D. S. (1988). The effect of running in an outdoor environment on plasma beta endorphins. Ann Sports Med, 3(4), 230-233.

Miller, J. R., Van Hooren, B., Bishop, C., Buckley, J. D., Willy, R. W., & Fuller, J.T. (2019). A systematic review and meta‑analysis of crossover studies comparing physiological, perceptual and performance measures between treadmill and overground running. Sports Med, 49(5), 763-782. https://doi.org/10.1007/s40279-019-01087-9.

Montgomery, D. C. (2013). Design and analysis of experiments. 8th ed. Hoboken, NJ: John Wiley & Sons, Inc.

Pinheiro, J., & Bates, D. M. (2000). Mixed-effects models in S and S-PLUS. New York, NY: Springer; p. 3.

R Core Team. (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available at: http://www.R-project.org/.

Reuter, B. H., & Dawes, J. J. (2016). Program design and technique for aerobic endurance training. In G. G. Haff, & N. T. Triplett (Eds.), Essentials of strength training and conditioning (4th ed., pp. 559-582). Champaign, IL: Human Kinetics.

Robertson, R. J., & Noble, B. N. (1997). Perception of physical exertion: Methods, mediators, and applications. Exercise and sport sciences reviews. Vol. 25. Baltimore, MD: Williams & Wilkins; pp. 407-452.

Saghiv, M. S., & Sagiv, M. S. (2020). Basic exercise physiology: Clinical and laboratory perspectives. Cham, Switzerland: Springer Nature Switzerland AG; p. 171.

SAS Institute Inc. (1999). SAS/STAT® 9.3 User’s guide, Version 8. Cary, NC: SAS Institute Inc. Available at: http://support.sas.com/documentation/onlinedoc/stat/930/.

Van Belle, G., Fisher, L. D., Heagerty, P. J., & Lumley, T. (2004). Biostatistics: A methodology for the health sciences. 2nd ed. Hoboken, NJ: John Wiley & Sons, Inc.

Van Hooren, B., Fuller, J. T., Buckley, J. D., Miller, J. R., Sewell, K., Rao, G., et al. (2020). Is motorized treadmill running biomechanically comparable to overground running? A systematic review and meta‑analysis of cross‑over studies. Sports Med, 50(4), 785-813. DOI: 10.1007/s40279-019-01237-z.

Van Ingen Schenau, G, J. (1980). Some fundamental aspects of the biomechanics of overground versus treadmill locomotion. Med Sci Sports Exerc, 12(4), 257-261. https://doi.org/10.1249/00005768-198024000-00005.

Verbeke, G., & Molenberghs, G. (2009). Repeated measures and multilevel modeling. In: S. R. Wilson, & C. Burden (Eds.), Biometrics. Vol. I. Encyclopedia of life support systems (pp. 237-255). Oxford, United Kingdom: Eolss Publishers Co. Ltd.

Weber, D. C., & Skillings, J. H. (2000). A first course in the design of experiments: A linear models approach. Boca Raton, FL: CRC Press LL; pp. 225-226.

White, J. A., Pomfret, D. K., Rennie, S., Wong, J., & Ford, M. (1998). Fluid replacement needs of well-trained male and female athletes during indoor and outdoor steady state running. J Sci Med Sport, 1(3), 131-142. https://doi.org/10.1016/S1440-2440(98)80009-1.

World Medical Association (WMA). (2013). WMA Declaration of Helsinki - Ethical principles for human medical research. Available at: https://www.wma.net/policies-post/wma-declaration-of-helsinki-ethical-principles-for-medical-research-involving-human-subjects/.

Yngve, A., Nilsson, A., Sjöström, M., & Ekelund, U. (2003). Effect of monitor placement and of activity setting on the MTI accelerometer output. Med Sci Sports Exerc, 35(2), 320-326. DOI: 10.1249/01.MSS.0000048829.75758.A0.


How to Cite
Longo, A. F., Prada, E. O., Cardey, M. L., & Aquilino, G. D. (2022). Exercise Intensity in Track and Level-grade Treadmill Running: A Cross-over Longitudinal Study in Well-trained Athletes. European Journal of Sport Sciences, 1(6), 6–12. https://doi.org/10.24018/ejsport.2022.1.6.37