Is Rating of Perceived Exertion a Valuable Tool for Monitoring Exercise Intensity During Steady-State Conditions in Elite Endurance Athletes?

in International Journal of Sports Physiology and Performance

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Thomas Losnegard
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Sondre Skarli
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Joar Hansen
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Stian Roterud
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Ida S. Svendsen
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Bent R. Rønnestad
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Gøran Paulsen
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Purpose: Rating of perceived exertion (RPE) is a widely used tool to assess subjective perception of effort during exercise. The authors investigated between-subject variation and effect of exercise mode and sex on Borg RPE (6–20) in relation to heart rate (HR), oxygen uptake (VO2), and capillary blood lactate concentrations. Methods: A total of 160 elite endurance athletes performed a submaximal and maximal test protocol either during cycling (n = 84, 37 women) or running (n = 76, 32 women). The submaximal test consisted of 4 to 7 progressive 5-minute steps within ∼50% to 85% of maximal VO2. For each step, steady-state HR, VO2, and capillary blood lactate concentrations were assessed and RPE reported. An incremental protocol to exhaustion was used to determine maximal VO2 and peak HR to provide relative (%) HR and VO2 values at submaximal work rates. Results: A strong relationship was found between RPE and %HR, %VO2, and capillary blood lactate concentrations (r = .80–.82, all Ps < .05). The between-subject coefficient of variation (SD/mean) for %HR and %VO2 decreased linearly with increased RPE, from ∼10% to 15% at RPE 8 to ∼5% at RPE 17. Compared with cycling, running induced a systematically higher %HR and %VO2 (∼2% and 5%, respectively, P < .05) with these differences being greater at lower intensities (RPE < 13). At the same RPE, women showed a trivial, but significantly higher %HR and %VO2 than men (<1%, P < .05). Conclusions: Among elite endurance athletes, exercise mode influenced RPE at a given %HR and %VO2, with greater differences at lower exercise intensities. Athletes should manage different tools to evaluate training based on intensity and duration of workouts.

Losnegard and Paulsen are with the Dept of Physical Performance, Norwegian School of Sport Sciences, Oslo, Norway. Losnegard, Skarli, Roterud, Svendsen, and Paulsen are with the Norwegian Olympic Federation, Oslo, Norway. Hansen and Rønnestad are with the Section of Health and Exercise Physiology, Inland Norway University of Applied Sciences, Lillehammer, Norway.

Losnegard (thomas.losnegard@nih.no) is corresponding author.
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  • 1.

    Jamnick NA, Pettitt RW, Granata C, Pyne DB, Bishop DJ. An examination and critique of current methods to determine exercise intensity. Sports Med. 2020;50(10):17291756. PubMed ID: 32729096 doi:10.1007/s40279-020-01322-8

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 2.

    Seiler S. What is best practice for training intensity and duration distribution in endurance athletes? Int J Sports Physiol Perform. 2010;5(3):276291. PubMed ID: 20861519 doi:10.1123/ijspp.5.3.276

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 3.

    Buchheit M, Laursen PB. High-intensity interval training, solutions to the programming puzzle: part I: cardiopulmonary emphasis. Sports Med. 2013;43(5):313338. PubMed ID: 23539308 doi:10.1007/s40279-013-0029-x

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 4.

    Foster C, Florhaug JA, Franklin J, et al. A new approach to monitoring exercise training. J Strength Cond Res. 2001;15(1):109115. PubMed ID: 11708692

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 5.

    Abbiss CR, Peiffer JJ, Meeusen R, Skorski S. Role of ratings of perceived exertion during self-paced exercise: what are we actually measuring? Sports Med. 2015;45(9):12351243. PubMed ID: 26054383 doi:10.1007/s40279-015-0344-5

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 6.

    Borg GA. Psychophysical bases of perceived exertion. Med Sci Sports Exerc. 1982;14(5):377381. PubMed ID: 7154893 doi:10.1249/00005768-198205000-00012

  • 7.

    Noble BJ, Borg GA, Jacobs I, Ceci R, Kaiser P. A category-ratio perceived exertion scale: relationship to blood and muscle lactates and heart rate. Med Sci Sports Exerc. 1983;15(6):523528. PubMed ID: 6656563 doi:10.1249/00005768-198315060-00015

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 8.

    Scherr J, Wolfarth B, Christle JW, Pressler A, Wagenpfeil S, Halle M. Associations between Borg’s rating of perceived exertion and physiological measures of exercise intensity. Eur J Appl Physiol. 2013;113(1):147155. PubMed ID: 22615009 doi:10.1007/s00421-012-2421-x

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 9.

    Stoudemire NM, Wideman L, Pass KA, McGinnes CL, Gaesser GA, Weltman A. The validity of regulating blood lactate concentration during running by ratings of perceived exertion. Med Sci Sports Exerc. 1996;28(4):490495. PubMed ID: 8778555 doi:10.1097/00005768-199604000-00014

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 10.

    Faulkner J, Parfitt G, Eston R. Prediction of maximal oxygen uptake from the ratings of perceived exertion and heart rate during a perceptually-regulated sub-maximal exercise test in active and sedentary participants. Eur J Appl Physiol. 2007;101(3):397407. PubMed ID: 17684757 doi:10.1007/s00421-007-0508-6

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 11.

    Garcin M, Fleury A, Mille-Hamard L, Billat V. Sex-related differences in ratings of perceived exertion and estimated time limit. Int J Sports Med. 2005;26(8):675681. PubMed ID: 16158374 doi:10.1055/s-2004-830440

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 12.

    Joyner MJ, Coyle EF. Endurance exercise performance: the physiology of champions. J Physiol. 2008;586(1):3544. PubMed ID: 17901124 doi:10.1113/jphysiol.2007.143834

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 13.

    Garber CE, Blissmer B, Deschenes MR, et al. American College of Sports Medicine position stand. Quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults: guidance for prescribing exercise. Med Sci Sports Exerc. 2011;43(7):13341359. PubMed ID: 21694556 doi:10.1249/MSS.0b013e318213fefb

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 14.

    Foster C, Rodriguez-Marroyo JA, de Koning JJ. Monitoring training loads: the past, the present, and the future. Int J Sports Physiol Perform. 2017;12(suppl):S22S28. doi:10.1123/IJSPP.2016-0388

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 15.

    Arney BE, Glover R, Fusco A, et al. Comparison of RPE (rating of perceived exertion) scales for session RPE. Int J Sports Physiol Perform. 2019;14(7):994996. PubMed ID: 30569764 doi:10.1123/ijspp.2018-0637

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 16.

    Foss Ø, Hallen J. Validity and stability of a computerized metabolic system with mixing chamber. Int J Sports Med. 2005;26(7):569575. PubMed ID: 16195991 doi:10.1055/s-2004-821317

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 17.

    Hopkins WG, Marshall SW, Batterham AM, Hanin J. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc. 2009;41(1):313. PubMed ID: 19092709 doi:10.1249/MSS.0b013e31818cb278

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 18.

    Bijker KE, de Groot G, Hollander AP. Differences in leg muscle activity during running and cycling in humans. Eur J Appl Physiol. 2002;87(6):556561. PubMed ID: 12355196 doi:10.1007/s00421-002-0663-8

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 19.

    Millet GP, Vleck VE, Bentley DJ. Physiological differences between cycling and running: lessons from triathletes. Sports Med. 2009;39(3):179206. PubMed ID: 19290675 doi:10.2165/00007256-200939030-00002

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 20.

    Cafarelli E. Peripheral contributions to the perception of effort. Med Sci Sports Exerc. 1982;14(5):382389. PubMed ID: 7154894 doi:10.1249/00005768-198205000-00013

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 21.

    Pageaux B. Perception of effort in exercise science: definition, measurement and perspectives. Eur J Sport Sci. 2016;16(8):885894. PubMed ID: 27240002 doi:10.1080/17461391.2016.1188992

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 22.

    Ueda T, Nabetani T, Teramoto K. Differential perceived exertion measured using a new visual analogue scale during pedaling and running. J Physiol Anthropol. 2006;25(2):171177. PubMed ID: 16679714 doi:10.2114/jpa2.25.171

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 23.

    Borg E, Borg G, Larsson K, Letzter M, Sundblad BM. An index for breathlessness and leg fatigue. Scand J Med Sci Sports. 2010;20(4):644650. PubMed ID: 19602182 doi:10.1111/j.1600-0838.2009.00985.x

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 24.

    Fusco A, Knutson C, King C, et al. Session RPE during prolonged exercise training. Int J Sports Physiol Perform. 2020;15(2):292294. PubMed ID: 31172830 doi:10.1123/ijspp.2019-0137

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 25.

    Nicolò A, Massaroni C, Passfield L. Respiratory frequency during exercise: the neglected physiological measure. Front Physiol. 2017;8:922. PubMed ID: 29321742 doi:10.3389/fphys.2017.00922

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 26.

    Miller CR, Whaley MH, Kaminsky LA, Dwyer GB. Variability in RPEs at fixed exercise intensities during graded exercise testing in an adult fitness population. Med Sci Sports Exerc. 1994;26:S45S45. doi:10.1249/00005768-199405001-00258

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 27.

    Winborn MD, Meyers AW, Mulling C. The effects of gender and experience on perceived exertion. J Sport Exerc Psychol. 1988;10(1):22. doi:10.1123/jsep.10.1.22

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 28.

    Robertson RJ, Moyna NM, Sward KL, Millich NB, Goss FL, Thompson PD. Gender comparison of RPE at absolute and relative physiological criteria. Med Sci Sports Exerc. 2000;32(12):21202129. PubMed ID: 11128861 doi:10.1097/00005768-200012000-00024

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 29.

    Saltin B, Kim CK, Terrados N, Larsen H, Svedenhag J, Rolf CJ. Morphology, enzyme activities and buffer capacity in leg muscles of Kenyan and Scandinavian runners. Scand J Med Sci Sports. 1995;5(4):222230. PubMed ID: 7552767 doi:10.1111/j.1600-0838.1995.tb00038.x

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 30.

    Sjödin B, Jacobs I. Onset of blood lactate accumulation and marathon running performance. Int J Sports Med. 1981;2(1):2326. PubMed ID: 7333732 doi:10.1055/s-2008-1034579

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 31.

    Beneke R, Hutler M, Von Duvillard SP, Sellens M, Leithauser RM. Effect of test interruptions on blood lactate during constant workload testing. Med Sci Sports Exerc. 2003;35(9):16261630. PubMed ID: 12972887 doi:10.1249/01.MSS.0000084520.80451.D5

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
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