Skip to main content
Log in

The Influence of Sensory Cues on the Perception of Exertion During Exercise and Central Regulation of Exercise Performance

  • Review Article
  • Published:
Sports Medicine Aims and scope Submit manuscript

Abstract

The perception of effort during exercise and its relationship to fatigue is still not well understood. Although several scales have been developed to quantify exertion Borg’s 15-point ratings of perceived exertion (RPE) scale has been adopted as a valid and reliable instrument for evaluating whole body exertion during exercise. However, Borg’s category-ratio scale is useful in quantifying sensations of exertion related to those variables that rise exponentially with increases in exercise intensity. Previous research has examined the extent to which afferent feedback arising from cardiopulmonary and peripheral variables mediates the perception of exertion

However, the literature has not identified a single variable that consistently explains exertion ratings. It is concluded that effort perception involves the integration of multiple afferent signals from a variety of perceptual cues. In a process defined as teleoanticipation, the changes in perceived exertion that result from these afferent signals may allow exercise performance to be precisely regulated such that a task can be completed within the biomechanical and metabolic limits of the body. The accuracy with which individuals can regulate exercise intensity based upon RPE values, the decrease in muscle recruitment (central drive) that occurs before fatigue, and the extent to which perceived exertion and heart rate can be altered with hypnosis and biofeedback training all provide evidence for the existence of such a regulatory system. Future research is needed to precisely quantify the extent to which efferent feed forward commands and afferent feedback determine pacing strategies such that an exercise event can be completed without irreversible tissue damage. However, the literature has not identified a single variable that consistently explains exertion ratings. It is concluded that effort perception involves the integration of multiple afferent signals from a variety of perceptual cues. In a process defined as teleoanticipation, the changes in perceived exertion that result from these afferent signals may allow exercise performance to be precisely regulated such that a task can be completed within the biomechanical and metabolic limits of the body. The accuracy with which individuals can regulate exercise intensity based upon RPE values, the decrease in muscle recruitment (central drive) that occurs before fatigue, and the extent to which perceived exertion and heart rate can be altered with hypnosis and biofeedback training all provide evidence for the existence of such a regulatory system. Future research is needed to precisely quantify the extent to which efferent feed forward commands and afferent feedback determine pacing strategies such that an exercise event can be completed without irreversible tissue damage.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Table I
Fig. 1

Similar content being viewed by others

References

  1. Davis JM, Bailey SP. Possible mechanisms of central nervous system fatigue during exercise. Med Sci Sports Exerc 1997; 29 (1): 45–57

    Article  PubMed  CAS  Google Scholar 

  2. Borg GAV. Physical performance and perceived exertion. Studia Psychologica et Paedagogica. Series altera. Investigations XI. Lund: Gleerup, 1962

    Google Scholar 

  3. Noble BJ. Clinical applications of perceived exertion. Med Sci Sports Exerc 1982; 14 (5): 406–11

    PubMed  CAS  Google Scholar 

  4. Ulmer HV. Concept of an extracellular regulation of muscular metabolic rate during heavy exercise in humans by psychophysiological feedback. Experientia 1996; 52 (5): 416–20

    Article  PubMed  CAS  Google Scholar 

  5. Borg GA. Perceived exertion: a note on ‘history’ and methods. Med Sci Sports 1973; 5 (2): 90–3

    PubMed  CAS  Google Scholar 

  6. Eston RG, Williams JG. Reliability of ratings of perceived effort regulation of exercise intensity. Br J Sports Med 1988; 22 (4): 153–5

    Article  PubMed  CAS  Google Scholar 

  7. Eston RG, Davies BL, Williams JG. Use of perceived effort ratings to control exercise intensity in young healthy adults. Eur J Appl Physiol Occup Physiol 1987; 56 (2): 222–4

    Article  PubMed  CAS  Google Scholar 

  8. Dunbar CC, Robertson RJ, Baun R, et al. The validity of regulating exercise intensity by ratings of perceived exertion. Med Sci Sports Exerc 1992; 24 (1): 94–9

    PubMed  CAS  Google Scholar 

  9. Ceci R, Hassmen P. Self-monitored exercise at three different RPE intensities in treadmill vs field running. Med Sci Sports Exerc 1991; 23 (6): 732–8

    PubMed  CAS  Google Scholar 

  10. Myles WS, Maclean D. A comparison of response and production protocols for assessing perceived exertion. Eur J Appl Physiol 1986; 55 (6): 585–7

    Article  CAS  Google Scholar 

  11. Parfitt G, Eston R, Connolly D. Psychological affect at different ratings of perceived exertion in high- and low-active women: a study using a production protocol. Percept Mot Skills 1996; 82 (3 Pt 1): 1035–42

    Article  PubMed  CAS  Google Scholar 

  12. Buckley JP, Eston RG, Sim J. Ratings of perceived exertion in braille: validity and reliability in production mode. Br J Sports Med 2000; 34 (4): 297–302

    Article  PubMed  CAS  Google Scholar 

  13. Yorio JM, Dishman RK, Forbus WR, et al. Breathlessness predicts perceived exertion in young women with mild asthma. Med Sci Sports Exerc 1992; 24 (8): 860–7

    PubMed  CAS  Google Scholar 

  14. Bar-Or O, Skinner JS, Buskirk ER, et al. Physiological and perceptual indicators of physical stress in 41 to 60-year-old men who vary in conditioning level and body fatness. Med Sci Sports 1972; 4 (2): 96–100

    Google Scholar 

  15. Dunbar CC, Glickman-Weiss EL, Bursztyn DA, et al. A submaximal treadmill test for developing target ratings of perceived exertion for outpatient cardiac rehabilitation. Percept Mot Skills 1998; 87 (3 Pt 1): 755–9

    Article  PubMed  CAS  Google Scholar 

  16. Lamb KL, Eston RG, Corns D. Reliability of ratings of perceived exertion during progressive treadmill exercise. Br J Sports Med 1999; 33 (5): 336–9

    Article  PubMed  CAS  Google Scholar 

  17. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986; I (8476): 307–10

    Article  Google Scholar 

  18. Noble BJ, Borg GA, Jacobs I, et al. A category-ratio perceived exertion scale: relationship to blood and muscle lactates and heart rate. Med Sci Sports Exerc 1983; 15 (6): 523–8

    PubMed  CAS  Google Scholar 

  19. Hassmen P. Perceptual and physiological responses to cycling and running in groups of trained and untrained subjects. Eur J Appl Physiol 1990; 60 (6): 445–51

    Article  CAS  Google Scholar 

  20. Borg GA. Psychophysical bases of perceived exertion. Med Sci Sports Exerc 1982; 14 (5): 377–81

    PubMed  CAS  Google Scholar 

  21. Borg GAV. Borg’s perceived exertion and pain scales. Champaign (IL): Human Kinetics, 1998

    Google Scholar 

  22. Stamford BA, Noble BJ. Metabolic cost and perception of effort during bicycle ergometer work performance. Med Sci Sports 1974; 6 (4): 226–31

    PubMed  CAS  Google Scholar 

  23. Robertson RJ, Gillespie RL, McCarthy J, et al. Differentiated perceptions of exertion: part I. Mode of integration of regional signals. Percept Mot Skills 1979; 49 (3): 683–9

    Article  PubMed  CAS  Google Scholar 

  24. Robertson RJ, Gillespie RL, McCarthy J, et al. Differentiated perceptions of exertion: part II. relationship to local and central physiological responses. Percept Mot Skills 1979; 49 (3): 691–7

    Article  PubMed  CAS  Google Scholar 

  25. Stevens JC, Mack JD. Scales for apparent force. J Exp Psychol 1959; 58: 405–13

    Article  PubMed  CAS  Google Scholar 

  26. Carton RL, Rhodes EC. A critical review of the literature on ratings scales for perceived exertion. Sports Med 1985; 2 (3): 198–222

    Article  PubMed  CAS  Google Scholar 

  27. Eston RG, Lamb KL, Bain A, et al. Validity of a perceived exertion scale for children: a pilot study. Percept Mot Skills 1994; 78 (2): 691–7

    Article  PubMed  CAS  Google Scholar 

  28. Lamb KL. Children’s ratings of effort during cycle ergometry: an examination of the validity of two effort rating scales. Pediatr Exerc Sci 1995; 7: 407–21

    Google Scholar 

  29. Lamb KL. Exercise regulation during cycle ergometry using the CERT and RPE scales. Pediatr Exerc Sci 1996; 8: 337–50

    Google Scholar 

  30. Williams JG, Eston R, Furlong B. CERT: a perceived exertion scale for young children. Percept Mot Skills 1994; 79 (3 Pt 2): 1451–8

    Article  PubMed  CAS  Google Scholar 

  31. Robertson RJ, Goss FL, Boer NF, et al. Children’s OMNI scale of perceived exertion: mixed gender and race validation. Med Sci Sports Exerc 2000; 32 (2): 452–58

    Article  PubMed  CAS  Google Scholar 

  32. Mihevic PM. Sensory cues for perceived exertion: a review. Med Sci Sports Exerc 1981; 13 (3): 150–63

    PubMed  CAS  Google Scholar 

  33. Skinner JS, Hutsler R, Bergsteinova V, et al. Perception of effort during different types of exercise and under different environmental conditions. Med Sci Sports 1973; 5 (2): 110–5

    PubMed  CAS  Google Scholar 

  34. Stamford BA, Noble BJ. Validity and reliability of subjective ratings of perceived exertion during work. Ergonomics 1976; 19: 53–60

    Article  Google Scholar 

  35. Sargeant AJ, Davies CT. Perceived exertion during rhythmic exercise involving different muscle masses. J Hum Ergol Tokyo 1973; 2 (1): 3–11

    PubMed  CAS  Google Scholar 

  36. Edwards RH, Melcher A, Hesser CM, et al. Physiological correlates of perceived exertion in continuous and intermittent exercise with the same average power output. Eur J Clin Invest 1972; 2 (2): 108–14

    Article  PubMed  CAS  Google Scholar 

  37. Borg GA, Linderholm H. Perceived exertion and pulse rate during graded exercise in various age groups. Acta Medica Scand 1967; Suppl. 472: 194–206

    Google Scholar 

  38. Davies CT, Sargeant AJ. The effects of atropine and practolol on the perception of exertion during treadmill exercise. Ergonomics 1979; 22 (10): 1141–6

    Article  PubMed  CAS  Google Scholar 

  39. Ekblom B, Goldbarg AN. The influence of physical training and other factors on the subjective rating of perceived exertion. Acta Physiol Scand 1971; 83 (3): 399–406

    Article  PubMed  CAS  Google Scholar 

  40. Pandolf KB, Kamon E, Noble BJ. Perceived exertion and physiological responses during negative and positive work in climbing a laddermill. J Sports Med Phys Fitness 1978; 18 (3): 227–36

    PubMed  CAS  Google Scholar 

  41. Kamon E, Pandolf K, Cafarelli E. The relationship between perceptual information and physiological responses to exercise in the heat. J Hum Ergol Tokyo 1974; 3 (1): 45–54

    PubMed  CAS  Google Scholar 

  42. Pandolf KB, Cafarelli E, Noble BJ, et al. Perceptual responses during prolonged work. Percept Mot Skills 1972; 35 (3): 975–85

    Article  PubMed  CAS  Google Scholar 

  43. Pandolf KB, Noble BJ. The effect of pedalling speed and resistance changes on perceived exertion for equivalent power outputs on the bicycle ergometer. Med Sci Sports 1973; 5 (2): 132–6

    PubMed  CAS  Google Scholar 

  44. Soule RG, Goldman RF. Pacing of intermittent work during 31 hours. Med Sci Sports 1973; 5 (2): 128–31

    PubMed  CAS  Google Scholar 

  45. Robertson RJ, Gilcher R, Metz K. Central circulation and work capacity after red blood cell reinfusion under normaloxia and hypoxia in women [abstract]. Med Sci Sports 1979; 2: 98

    Google Scholar 

  46. Eston R, Connolly D. The use of ratings of perceived exertion for exercise prescription in patients receiving beta-blocker therapy. Sports Med 1996; 21 (3): 176–90

    Article  PubMed  CAS  Google Scholar 

  47. Eston RG, Thompson M. Use of ratings of perceived exertion for predicting maximal work rate and prescribing exercise intensity in patients taking atenolol. Br J Sports Med 1997; 31 (2): 114–9

    Article  PubMed  CAS  Google Scholar 

  48. Takai K. Cognitive strategies and recall of pace by long-distance runners. Percept Mot Skills 1998; 86 (3 Pt 1): 763–70

    Article  PubMed  CAS  Google Scholar 

  49. Noble BJ, Metz KF, Pandolf KB, et al. Perceptual responses to exercise: a multiple regression study. Med Sci Sports 1973; 5 (2): 104–9

    PubMed  CAS  Google Scholar 

  50. Robertson RJ. Central signals of perceived exertion during dynamic exercise. Med Sci Sports Exerc 1982; 14 (5): 390–6

    PubMed  CAS  Google Scholar 

  51. Morgan WP, Raven PB, Drinkwater BL, et al. Perceptual annd metabolic responsivity to standard bicycle ergometry following various hypnotic suggestions. Int J Clin Exp Hypnosis 1973; 21: 86–101

    Article  Google Scholar 

  52. Morgan WP, Hirta K, Weitz GA, et al. Hypnotic perturbation of perceived exertion: ventilatory consequences. Am J Clin Hypn 1976; 18 (3): 182–90

    Article  PubMed  CAS  Google Scholar 

  53. Cafarelli E, Noble BJ. The effect of inspired carbon dioxide on subjective estimates of exertion during exercise. Ergonomics 1976; 19 (5): 581–9

    Article  PubMed  CAS  Google Scholar 

  54. Chida M, Inase N, Ichioka M, et al. Ratings of perceived exertion in chronic obstructive pulmonary disease - a possible indicator for exercise training in patients with this disease. Eur J Appl Physiol Occup Physiol 1991; 62 (6): 390–3

    Article  PubMed  CAS  Google Scholar 

  55. Mejia R, Ward J, Lentine T, et al. Target dyspnea ratings predict expected oxygen consumption as well as target heart rate values. Am J Respir Crit Care Med 1999; 159 (5 Pt 1): 1485–9

    PubMed  CAS  Google Scholar 

  56. Gamberale F. Perceived exertion, heart rate, oxygen uptake and blood lactate in different work operations. Ergonomics 1972; 15 (5): 545–54

    Article  PubMed  CAS  Google Scholar 

  57. Hetzler RK, Seip RL, Boutcher SH, et al. Effect of exercise modality on ratings of perceived exertion at various lactate concentrations. Med Sci Sports Exerc 1991; 23 (1): 88–92

    PubMed  CAS  Google Scholar 

  58. Haskvitz EM, Seip RL, Weltman JY, et al. The effect of training intensity on ratings of perceived exertion. Int J Sports Med 1992; 13 (5): 377–83

    Article  PubMed  CAS  Google Scholar 

  59. Boutcher SH, Seip RL, Hetzler RK, et al. The effects of specificity of training on rating of perceived exertion at the lactate threshold. Eur J Appl Physiol 1989; 59 (5): 365–9

    Article  CAS  Google Scholar 

  60. Staab JS, Agnew JW, Siconolfi SF. Metabolic and performance responses to uphill and downhill running in distance runners. Med Sci Sports Exerc 1992; 24 (1): 124–7

    PubMed  CAS  Google Scholar 

  61. Poulus AJ, Docter HJ, Westra HG. Acid-base balance and subjective feelings of fatigue during physical exercise. Eur J Appl Physiol 1974; 33 (3): 207–13

    Article  CAS  Google Scholar 

  62. Robertson RJ, Falkel JE, Drash AL, et al. Effect of blood pH on peripheral and central signals of perceived exertion. Med Sci Sports Exerc 1986; 18 (1): 114–22

    PubMed  CAS  Google Scholar 

  63. Swank A, Robertson RJ. Effect of induced alkalosis on perception of exertion during intermittent exercise. J Appl Physiol 1989; 67 (5): 1862–7

    PubMed  CAS  Google Scholar 

  64. Robertson RJ, Nixon PA, Caspersen CJ, et al. Abatement of exertional perceptions following dynamic exercise: physiological mediators. Med Sci Sports Exerc 1992; 24 (3): 346–53

    PubMed  CAS  Google Scholar 

  65. Cafarelli E. Peripheral and central inputs to the effort sense during cycling exercise. Eur J Appl Physiol 1977; 37 (3): 181–9

    Article  CAS  Google Scholar 

  66. Pandolf KB, Burse RL, Goldman RF. Differentiated ratings of perceived exertion during physical conditioning of older individuals using leg-weight loading. Percept Mot Skills 1975; 40 (2): 563–74

    Article  PubMed  CAS  Google Scholar 

  67. Banister EW. The perception of effort: an inductive approach. Eur J Appl Physiol 1979; 41 (2): 141–50

    Article  CAS  Google Scholar 

  68. Noble BJ, Metz KF, Pandolf KB, et al. Perceived exertion during walking and running. II. Med Sci Sports 1973; 5 (2): 116–20

    PubMed  CAS  Google Scholar 

  69. Noakes TD. Physiological models to understand exercise fatigue and the adaptations that predict or enhance athletic performance. Scand J Med Sci Sports 2000; 10 (3): 123–45

    Article  PubMed  CAS  Google Scholar 

  70. Docktor R, Sharkey BJ. Note on some physiological and subjective reactions to exercise and training. Percept Mot Skills 1971; 32 (1): 233–4

    Article  PubMed  CAS  Google Scholar 

  71. Frankenhaeuser M, Post B, Nordheden B, et al. Physiological and subjective reactions to different physical work loads. Percept Mot Skills 1969; 28 (2): 343–9

    Article  PubMed  CAS  Google Scholar 

  72. Kang J, Robertson RJ, Goss FL, et al. Effect of carbohydrate substrate availability on ratings of perceived exertion during prolonged exercise of moderate intensity. Percept Mot Skills 1996; 82 (2): 495–506

    Article  PubMed  CAS  Google Scholar 

  73. Glass SC, Knowlton RG, Becque MD. Accuracy of RPE from graded exercise to establish exercise training intensity. Med Sci Sports Exerc 1992; 24 (11): 1303–7

    PubMed  CAS  Google Scholar 

  74. Smutok MA, Skrinar GS, Pandolf KB. Exercise intensity: subjective regulation by perceived exertion. Arch Phys Med Rehabil 1980; 61 (12): 569–74

    PubMed  CAS  Google Scholar 

  75. Ward DS, Bar-Or O, Longmuir P, et al. Use of RPE to control exercise intensity in wheelchair bound children and adults. Pediatr Exerc Sci 1995; 7: 94–102

    Google Scholar 

  76. Williams JG, Eston R, Stretch C. Use of the rating of perceived exertion to control exercise intensity in children. Pediatr Exerc Sci 1991; 3: 21–7

    Google Scholar 

  77. Byrne C, Eston R. Use of ratings of perceived exertion to regulate exercise intensity: a study using effort estimation and effort production [abstract]. J Sports Sci 1997; 16: 15P

    Google Scholar 

  78. Cain WS, Stevens JC. Constant-effort contractions related to the electromyogram. Med Sci Sports 1973; 5 (2): 121–7

    PubMed  CAS  Google Scholar 

  79. Bigland-Ritchie B, Donovan EF, Roussos CS. Conduction velocity and EMG power spectrum changes in fatigue of sustained maximal efforts. J Appl Physiol 1981; 51 (5): 1300–5

    PubMed  CAS  Google Scholar 

  80. Esposito F, Orizio C, Veicsteinas A. Electromyogram and mechanomyogram changes in fresh and fatigued muscle during sustained contraction in men. Eur J Appl Physiol 1998; 78 (6): 494–501

    Article  CAS  Google Scholar 

  81. Westgaard RH, De Luca CJ. Motor unit substitution in long duration contractions of the human trapezius muscle. J Neurophysiol 1999; 82 (1): 501–4

    PubMed  CAS  Google Scholar 

  82. Spriet LL, Soderlund K, Bergstrom M, et al. Anaerobic energy release in skeletal muscle during electrical stimulation in men. J Appl Physiol 1987; 62 (2): 611–5

    Article  PubMed  CAS  Google Scholar 

  83. Hautier CA, Arsac LM, Deghdegh K, et al. Influence of fatigue on EMG/force ratio and cocontraction in cycling. Med Sci Sports Exerc 2000; 32 (4): 839–43

    Article  PubMed  CAS  Google Scholar 

  84. St Clair Gibson A, Schabort EJ, Noakes TD. Reduced neuromuscular activity and force generation during prolonged cycling. Am J Physiol Regul Integr Comp Physiol 2001; 281 (1): R187-R196

    Google Scholar 

  85. Kay D, Marino FE, Cannon J, et al. Evidence for neuromuscular fatigue during high-intensity cycling in warm, humid conditions. Eur J Appl Physiol 2001; 84 (1–2): 115–21

    Article  PubMed  CAS  Google Scholar 

  86. Merletti R, Knaflitz M, De Luca CJ. Myoelectric manifestations of fatigue in voluntary and electrically elicited contractions. J Appl Physiol 1990; 69 (5): 1810–20

    PubMed  CAS  Google Scholar 

  87. Kent-Braun JA, Le Blanc R. Quantitation of central activation failure during maximal voluntary contractions in humans. Muscle Nerve 1996; 19 (7): 861–9

    Article  PubMed  CAS  Google Scholar 

  88. Williamson JW, McColl R, Mathews D, et al. Hypnotic manipulation of effort sense during dynamic exercise: cardiovascular responses and brain activation. J Appl Physiol 2001; 90 (4): 1392–9

    PubMed  CAS  Google Scholar 

  89. Perski A, Tzankoff SP, Engel BT. Central control of cardiovascular adjustments to exercise. J Appl Physiol 1985; 58 (2): 431–5

    PubMed  CAS  Google Scholar 

  90. Goldstein DS, Ross RS, Brady JV. Biofeedback heart rate training during exercise. Biofeedback Self Regul 1977; 2 (2): 107–25

    Article  PubMed  CAS  Google Scholar 

  91. Kayser B, Narici M, Binzoni T, et al. Fatigue and exhaustion in chronic hypobaric hypoxia: influence of exercising muscle mass. J Appl Physiol 1994; 76 (2): 634–40

    PubMed  CAS  Google Scholar 

  92. Sutton JR, Reeves JT, Wagner PD, et al. Operation Everest II: oxygen transport during exercise at extreme simulated altitude. J Appl Physiol 1988; 64 (4): 1309–21

    PubMed  CAS  Google Scholar 

  93. Fitts RH. Cellular mechanisms of muscle fatigue. Physiol Rev 1994; 74 (1): 49–94

    Article  PubMed  CAS  Google Scholar 

  94. Pandolf KB. Differentiated ratings of perceived exertion during physical exercise. Med Sci Sports Exerc 1982; 14 (5): 397–405

    PubMed  CAS  Google Scholar 

  95. Dishman RK, Farquhar RP, Cureton KJ. Responses to preferred intensities of exertion in men differing in activity levels. Med Sci Sports Exerc 1994; 26 (6): 783–90

    Article  PubMed  CAS  Google Scholar 

  96. Parfitt G, Rose E, Markland D. The effect of prescribed and preferred intensity exercise on psychological affect and the influence of baseline measures of affect. J Health Psychol 2000; 5: 231–40

    Article  PubMed  CAS  Google Scholar 

  97. Eston RG, Parfitt G, Tucker R. Ratings of perceived exertion and psychological affect during preferred exercise intensity in high- and low-active men. J Sports Sci 1998; 16: 82–3

    Google Scholar 

  98. Cafarelli E. Peripheral contributions to the perception of effort. Med Sci Sports Exerc 1982; 14 (5): 382–9

    PubMed  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to David B. Hampson.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hampson, D.B., St Clair Gibson, A., Lambert, M.I. et al. The Influence of Sensory Cues on the Perception of Exertion During Exercise and Central Regulation of Exercise Performance. Sports Med 31, 935–952 (2001). https://doi.org/10.2165/00007256-200131130-00004

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.2165/00007256-200131130-00004

Keywords

Navigation