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Sports Medicine

, Volume 36, Issue 10, pp 817–828 | Cite as

Psychomotor Speed

Possibly a New Marker for Overtraining Syndrome
  • Esther NederhofEmail author
  • Koen A. P. M. Lemmink
  • Chris Visscher
  • Romain Meeusen
  • Theo Mulder
Leading Article

Abstract

Overtraining syndrome (OTS) is a major threat for performance and health in athletes. OTS is caused by high levels of (sport-specific) stress in combination with too little regeneration, which causes performance decrements, fatigue an possibly other symptoms. Although there is general consensus about the causes and consequences, many different terminologies have been used interchangeably.

The consequences of overreaching and overtraining are divided into three categories: (i) functional overreaching (FO); (ii) non-functional overreaching (NFO); and (iii) OTS. In FO, performance decrements and fatigue are reversed within a pre-planned recovery period. FO has no negative consequences for the athlete in the long term; it might even have positive consequences. When performance does not improve and feelings of fatigue do not disappear after the recovery period, overreaching has not been functional and is thus called NFO. OTS only applies to the most severe cases. NFO and OTS could be prevented using early markers, which should be objective, not manipulable, applicable in training practice, not too demanding, affordable and should be based on a sound theoretical framework. No such markers exist up to today. It is proposed that psychomotor speed might be such a marker.

OTS shows similarities with chronic fatigue syndrome and with major depression (MD). Through two meta-analyses, it is shown that psychomotor slowness is consistently present in both syndromes. This leads to the hypothesis that psychomotor speed is also reduced in athletes with OTS. Parallels between commonly used models for NFO and OTS and a threshold theory support the idea that psychomotor speed is impaired in athletes with NFO or OTS and could also be used as an early marker to prevent NFO and/or OTS.

Keywords

Major Depression Chronic Fatigue Syndrome Psychomotor Slowness Performance Decrement Chronic Fatigue Syndrome Patient 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

Preparation of this manuscript was financially supported by the Dutch Ministry of Health, Welfare and Sport. The authors have no conflicts of interest that are relevant to the content of this article.

References

  1. 1.
    Halson SL, Jeukendrup AE. Does overtraining exist? An analysis of overreaching and overtraining research. Sports Med 2004; 34 (14): 967–81Google Scholar
  2. 2.
    Kreider R, Fry AC, O’Toole M. Overtraining in sport: terms, definitions, and prevalence. In: Kreider R, Fry AC, O’Toole M, editors. Overtraining in sport. Champaign (IL): Human Kinetics, 1998: vii–ixGoogle Scholar
  3. 3.
    Lehmann MJ, Lormes W, Opitz-Gress A, et al. Training and overtraining: an overview and experimental results in endurance sports. J Sports Med Phys Fitness 1997; 37 (1): 7–17PubMedGoogle Scholar
  4. 4.
    Raglin JS. Overtraining and staleness: psychometric monitoring of endurance athletes. In: Singer RN, Murphey M, Tennant LK,editors. Handbook of research on sport psychology. New York: Macmillan, 1993: 840–50Google Scholar
  5. 5.
    Uusitalo ALT. Overtraining: making a difficult diagnosis and implementing targeted treatment. Phys Sports Med 2001; 29 (5): 35–50Google Scholar
  6. 6.
    Kellmann M. Psychological assessment of underrecovery. In: Kellmann M, editor. Enhancing recovery: preventing underperformance in athletes. Champaign (IL): Human Kinetics, 2002: 37–55Google Scholar
  7. 7.
    Robson PJ. Elucidating the unexplained underperformance syndrome in endurance athletes: the interleukin-6 hypothesis. Sports Med 2003; 33 (10): 771–81PubMedCrossRefGoogle Scholar
  8. 8.
    Silva JM. An analysis of the training stress syndrome in competitive athletics. J Appl Sport Psychol 1990; 2: 5–20CrossRefGoogle Scholar
  9. 9.
    Tenenbaum G, Jones CM, Kitsantas A, et al. Failure adaptation: psychological conceptualization of the stress response process in sport. Int J Sport Psychol 2003; 34: 1–26Google Scholar
  10. 10.
    Kellmann M. Underrecovery and overtraining: different concepts: similar impact? In: Kellmann M, editor. Enhancing recovery: preventing underperformance in athletes. Champaign (IL): Human Kinetics, 2002: 3–24Google Scholar
  11. 11.
    Meehan HL, Bull SJ, Wood DM, et al. The overtraining syndrome: a multicontextual assessment. Sport Psychologist 2004; 18: 154–71Google Scholar
  12. 12.
    Meeusen R, Piacentini MF, Busschaert B, et al. Hormonal responses in athletes: the use of a two bout exercise protocol to detect subtle differences in (over)training status. Eur J Appl Physiol 2004; 91 (2-3): 140–6PubMedCrossRefGoogle Scholar
  13. 13.
    Uusitalo AL, Valkonen-Korhonen M, Helenis P, et al. Abnormal serotonin reuptake in an overtrained, insomnic and depressed team athlete. Int J Sports Med 2004; 25 (2): 150–3PubMedCrossRefGoogle Scholar
  14. 14.
    Meeusen R, Duclos M, Gleeson M, et al. Prevention, diagnosis and treatment of the overtraining syndrome. Eur J Sport Sci 2006; 6: 1–14CrossRefGoogle Scholar
  15. 15.
    Kenttä G, Hassmén P, Raglin JS. Training practices and over-training syndrome in Swedish age-group athletes. Int J Sports Med 2001; 22 (6): 460–5PubMedCrossRefGoogle Scholar
  16. 16.
    Hooper SL, Mackinnon LT, Howard A, et al. Markers for monitoring overtraining and recovery. Med Sci Sports Exerc 1995; 27 (1): 106–12PubMedGoogle Scholar
  17. 17.
    Petibois C, Cazorla G, Déléris G. FT-IR spectroscopy utilization to sportsmen fatigability evaluation and control. Med Sci Sports Exerc 2000; 32 (10): 1803–8PubMedCrossRefGoogle Scholar
  18. 18.
    Tenenbaum G, Jones CM, Kitsantas A, et al. Failure adaptation: an investigation of the stress response process in sport. Int J Sport Psychol 2003; 34: 27–62Google Scholar
  19. 19.
    Urhausen A, Gabriel HH, Weiler B, et al. Ergometric and psychological findings during overtraining: a long-term follow-up study in endurance athletes. Int J Sports Med 1998; 19 (2): 114–20PubMedCrossRefGoogle Scholar
  20. 20.
    Urhausen A, Gabriel HH, Kindermann W. Impaired pituitary hormonal response to exhaustive exercise in overtrained endurance athletes. Med Sci Sports Exerc 1998; 30 (3): 407–14PubMedCrossRefGoogle Scholar
  21. 21.
    Gabriel HH, Urhausen A, Valet G, et al. Overtraining and immune system: a prospective longitudinal study in endurance athletes. Med Sci Sports Exerc 1998; 30 (7): 1151–7PubMedCrossRefGoogle Scholar
  22. 22.
    Gouarné C, Groussard C, Gratas-Delamarch A, et al. Overnight urinary cortisol and cortinsone add new insights to adaptation to training. Med Sci Sports Exerc 2005; 37 (7): 1157–67PubMedCrossRefGoogle Scholar
  23. 23.
    Mourot L, Bouhaddi M, Perrey S, et al. Decrease in heart rate variability with overtraining: assessment by the Poincaré plot analysis. Clin Physiol Funct Imaging 2004; 24 (1): 10–8PubMedCrossRefGoogle Scholar
  24. 24.
    Rowbottom DG, Keast D, Goodman C, et al. The haematological, biochemical and immunological profile of athletes suffering from the overtraining syndrome. Eur J Appl Physiol Occup Physiol 1995; 70 (6): 502–9PubMedCrossRefGoogle Scholar
  25. 25.
    Foster C. Monitoring training in athletes with reference to overtraining syndrome. Med Sci Sports Exerc 1998; 30 (7): 1164–8PubMedCrossRefGoogle Scholar
  26. 26.
    Fry RW, Morton AR, Keast D. Overtraining in athletes: an update. Sports Med 1991; 12 (1): 32–65PubMedCrossRefGoogle Scholar
  27. 27.
    Kenttä G, Hassmén P. Overtraining and recovery: a conceptual model. Sports Med 1998; 26 (1): 1–16PubMedCrossRefGoogle Scholar
  28. 28.
    Lehmann M, Foster C, Dickhuth HH, et al. Autonomic imbalance hypothesis and overtraining syndrome. Med Sci Sports Exerc 1998; 30 (7): 1140–5PubMedCrossRefGoogle Scholar
  29. 29.
    Satz P. Brain reserve capacity on symptom onset after brain injury: a formulation and review of evidence for threshold theory. Neuropsychology 1993; 7 (3): 273–95CrossRefGoogle Scholar
  30. 30.
    Anderson MB, Williams JM. A model of stress and athletic injury: prediction and prevention. J Sport Exerc Psychol 1988; 10: 294–306Google Scholar
  31. 31.
    Platen P. Overtraining and the endocrine system — part 2: review of the scientific studies. Eur J Sport Sci 2002; 2: 1–7Google Scholar
  32. 32.
    Urhausen A, Kindermann W. Diagnosis of overtraining: what tools do we have? Sports Med 2002; 32 (2): 95–102PubMedCrossRefGoogle Scholar
  33. 33.
    Platen P. Overtraining and the endocrine system — part 1: terminology. Eur J Sport Sci 2002; 2: 1–7Google Scholar
  34. 34.
    Rietjens GJWM, Kuipers H, Adam JJ, et al. Physiological, biochemical and psychological markers for overreaching: early markers for overreaching. Int J Sports Med 2005; 26: 16–26PubMedCrossRefGoogle Scholar
  35. 35.
    Tremblay MS, Chu SY, Mureika R. Methodological and statistical considerations for exercise-related hormone evaluations. Sports Med 1995; 20 (2): 90–108PubMedCrossRefGoogle Scholar
  36. 36.
    de Groot PC, Borghouts LB, Adam JJ, et al. Diminished performance on response selection tasks in type 2 diabetes. Percept Mot Skills 2003; 96: 257–66PubMedCrossRefGoogle Scholar
  37. 37.
    Gilbert B, Belleville S, Bherer L, et al. Study of verbal working memory in patients with Parkinson’s disease. Neuropsychology 2005; 19 (1): 106–14PubMedCrossRefGoogle Scholar
  38. 38.
    Cooper JA, Sagar HJ, Tidswell P, et al. Slowed central processing in simple and go no-go reaction-time tasks in Parkinsons-disease. Brain 1994; 117: 517–29PubMedCrossRefGoogle Scholar
  39. 39.
    Levinoff EJ, Li KZH, Murtha S, et al. Selective attention impairments in Alzheimer’s disease: evidence for dissociable components. Neuropsychology 2004; 18 (3): 580–8PubMedCrossRefGoogle Scholar
  40. 40.
    Sacktor N, Skolasky RL, Tarwater PM, et al. Response to systemic HIV viral load suppression correlates with psychomotor speed performance. Neurology 2003; 61 (4): 567–9PubMedCrossRefGoogle Scholar
  41. 41.
    Fry RW, Morton AR, Keast D. Overtraining syndrome and the chronic fatigue syndrome: part 1. N Z J Sports Med 1991; 19 (3): 48–52Google Scholar
  42. 42.
    Fry RW, Morton AR, Keast D. Overtraining syndrome and the chronic fatigue syndrome: part 2. N Z J Sports Med 1991; 19 (4): 76–7Google Scholar
  43. 43.
    Shephard RJ. Chronic fatigue syndrome: an update. Sports Med 2001; 31 (3): 167–94PubMedCrossRefGoogle Scholar
  44. 44.
    Shephard RJ. Chronic fatigue syndrome: a brief review of functional disturbances and potential therapy. J Sports Med Phys Fitness 2005; 45 (3): 381–92PubMedGoogle Scholar
  45. 45.
    Derman W, Schwellnus MP, Lambert MI, et al. The ‘worn-out athlete’: a clinical approach to chronic fatigue in athletes. J Sports Sci 1997; 15 (3): 341–51PubMedCrossRefGoogle Scholar
  46. 46.
    Cleare AJ. Neuroendocrine dysfunction. In: Jason LA, Fennell PA, Taylor RR, editors. Handbook of chronic fatigue syndrome. Hoboken (NJ): John Wiley & Sons, 2003: 331–60Google Scholar
  47. 47.
    Maher KJ, Klimas NG, Fletcher MA. Immunology. In: Jason LA, Fennell PA, Taylor RR, editors. Handbook of chronic fatigue syndrome. Hoboken (NJ): John Wiley & Sons, 2003: 124–51Google Scholar
  48. 48.
    Hedelin R, Kentta G, Wiklund U, et al. Short-term overtraining: effects on performance, circulatory responses, and heart rate variability. Med Sci Sports Exerc 2000; 32 (8): 1480–4PubMedCrossRefGoogle Scholar
  49. 49.
    Stewart JM. Othostatic intolerance. In: Jason LA, Fennell PA, Taylor RR, editors. Handbook of chronic fatigue syndrome. Hoboken (NJ): John Wiley & Sons, 2003: 245–80Google Scholar
  50. 50.
    Armstrong LE, VanHeest JL. The unknown mechanism of the overtraining syndrome: clues from depression and psychoneuroimmunology. Sports Med 2002; 32 (3): 185–209PubMedCrossRefGoogle Scholar
  51. 51.
    White DA, Myerson J, Hale S. How cognitive is psychomotor slowing in depression? Evidence from a meta-analysis. Aging Neuropsychol Cogn 1997; 4 (3): 166–74Google Scholar
  52. 52.
    Austin MP, Mitchell P, Wilhelm G, et al. Cognitive function in depression: a distinct pattern of frontal impairment in melancholia? Psychol Med 1999; 29: 73–85PubMedCrossRefGoogle Scholar
  53. 53.
    Bange F, Bathien N. Visual cognitive dysfunction in depression: an event-related potential study. Electroencephalogr Clin Neurophysiol 1998; 108 (5): 472–81PubMedCrossRefGoogle Scholar
  54. 54.
    Bonin-Guillaume S, Blin O, Hasbroucq T. An additive factor analysis of the effect of depression on the reaction time of old patients. Acta Psychol (Amst) 2004; 117 (1): 1–11CrossRefGoogle Scholar
  55. 55.
    Constant EL, Adam S, Gillain B, et al. Effects of sertraline on depressive symptoms and attentional and executive functions in major depression. Depress Anxiety 2005; 21: 78–89PubMedCrossRefGoogle Scholar
  56. 56.
    Egeland J, Rund BR, Sundet K, et al. Attention profile in schizophrenia compared with depression: differential effects of processing speed, selective attention and vigilance. Acta Psychiatr Scand 2003; 108: 276–84PubMedCrossRefGoogle Scholar
  57. 57.
    Garcia-Toro M, Talavera JA, Gonzalez E, et al. Audioverbal cognitive dysfunction in depression: factors involved. Prog Neuropsychopharmacol Biol Psychiatry 2003; 27: 37–42PubMedCrossRefGoogle Scholar
  58. 58.
    Hart RP, Wade JB, Calabrese VP, et al. Vigilance performance in Parkinson’s disease and depression. J Clin Exp Neuropsychol 1998; 20 (1): 111–7PubMedCrossRefGoogle Scholar
  59. 59.
    Hugdahl K, Rund BR, Lund A, et al. Brain activation measured with fMRI during a mental arithmetic task in schizophrenia and major depression. Am J Psychiatry 2004; 161 (2): 286–93PubMedCrossRefGoogle Scholar
  60. 60.
    Ortiz-Alonso T, Lopez-Ibor MI, Martinez-Castillo E, et al. Deficit in sensory motor processing in depression and Alzheimer’s disease: a study with EMG and event related potentials. Electromyogr Clin Neurophysiol 2000; 40 (6): 357–63PubMedGoogle Scholar
  61. 61.
    Rogers MA, Bradshaw JL, Philips JG, et al. Mental rotation in unipolar major depression. J Clin Exp Neuropsychol 2002; 24 (1): 101–6PubMedCrossRefGoogle Scholar
  62. 62.
    Sweeney JA, Kmiec JA, Kupfer DJ. Neuropsychologic impairments in bipolar and unipolar mood disorders on the CANTAB neurocognitive battery. Biol Psychiatry 2000; 48 (7): 674–84PubMedCrossRefGoogle Scholar
  63. 63.
    Tsourtos G, Thompson JC, Stough C. Evidence of an early information processing speed deficit in unipolar major depression. Psychol Med 2002; 32: 259–65PubMedCrossRefGoogle Scholar
  64. 64.
    Vollmer-Conna U, Wakefield D, Lloyd A, et al. Cognitive deficits in patients suffering from chronic fatigue syndrome, acute infective illness or depression. Br J Psychiatry 1997; 171: 377–81PubMedCrossRefGoogle Scholar
  65. 65.
    Fukuda K, Straus SE, Hickie I, et al. The chronic fatigue syndrome: a comprehensive approach to its definition and study. International Chronic Fatigue Syndrome Study Group. Ann Intern Med 1994; 121 (12): 953–9Google Scholar
  66. 66.
    Sharpe MC, Archard LC, Banatvala JE, et al. A report: chronic fatigue syndrome: guidelines for research. J R Soc Med 1991; 84 (2): 118–21PubMedGoogle Scholar
  67. 67.
    DeLuca J, Christodoulou C, Diamond BJ, et al. Working memory deficits in chronic fatigue syndrome: differentiating between speed and accuracy of information processing. J Int Neuropsychol Soc 2004; 10 (1): 101–9PubMedCrossRefGoogle Scholar
  68. 68.
    Chiaravalloti ND, Christodoulou C, Demaree HA, et al. Differentiating simple versus complex processing speed: influence on new learning and memory performance. J Clin Exp Neuropsychol 2003; 25 (4): 489–501PubMedCrossRefGoogle Scholar
  69. 69.
    Fiedler N. A controlled comparison of multiple chemical sensitivities and chronic fatigue syndrome. Psychosom Med 1996; 58: 38–49PubMedGoogle Scholar
  70. 70.
    Lawrie SM, MacHale SM, Cavanagh JT, et al. The difference in patterns of motor and cognitive function in chronic fatigue syndrome and severe depressive illness. Psychol Med 2000; 30 (2): 433–42PubMedCrossRefGoogle Scholar
  71. 71.
    Marshall PS, Forstot M, Callies A, et al. Cognitive slowing and working memory difficulties in chronic fati gue syndrome. Psychosom Med 1997; 59: 58–66PubMedGoogle Scholar
  72. 72.
    Michiels V, Gucht VD, Cluydts R, et al. Attention and information processing efficiency in patients with chronic fatigue syndrome. J Clin Exp Neuropsychol 1999; 21 (5): 709–29CrossRefGoogle Scholar
  73. 73.
    Smith AP, Borysiewicz L, Pollock J, et al. Acute fatigue in chronic fatigue syndrome patients. Psychol Med 1999; 29 (2):283–90PubMedCrossRefGoogle Scholar
  74. 74.
    Michiels V, Cluydts R. Neuropsychological functioning in chronic fatigue syndrome: a review. Acta Psychiatr Scand 2001; 103 (2): 84–93PubMedCrossRefGoogle Scholar
  75. 75.
    Tiersky LA, Johnson SK, Lange G, et al. Neuropsychology of chronic fatigue syndrome: a critical review. J Clin Exp Neuropsychol 1997; 19 (4): 560–86PubMedCrossRefGoogle Scholar
  76. 76.
    Lemmink KA, Visscher C. Effect of intermittent exercise on multiple-choice reaction times of soccer players. Percept Mot Skills 2005; 100 (1): 85–95PubMedCrossRefGoogle Scholar
  77. 77.
    Cian C, Barraud PA, Melin B, et al. Effects of fluid ingestion on cognitive function after heat stress or exercise-induced dehydration. Int J Psychophysiol 2001; 42 (3): 243–51PubMedCrossRefGoogle Scholar
  78. 78.
    Cian C, Koulmann N, Barraud PA, et al. Influence of variations in body hydration on cognitive function: effect of hyperhydration, heat stress, and exercise-induced dehydration. J Psychophysiol 2000; 14 (1): 29–36CrossRefGoogle Scholar
  79. 79.
    Hogervorst E, Riedel W, Jeukendrup A, et al. Cognitive performance after strenuous physical exercise. Percept Mot Skills 1996; 83 (2): 479–88PubMedCrossRefGoogle Scholar
  80. 80.
    Cote J, Salmela J, Papathanasopoulu KP. Effects of progressive exercise on attentional focus. Percept Mot Skills 1992; 75 (2): 351–4PubMedCrossRefGoogle Scholar
  81. 81.
    Hynynen E, Uusitalo-Koskinen A, Konttinen N, et al. Attenuated cardiac autonomic modulation of congnitive performance in overtrained athletes. In: Praagh EV, Coudert J, Fellmann N, Duché P, editors. Book of abstracts of the 9th Annual Congress of the ECSS; 2004 Jul 3-6; Clermont-Ferrand. Clermont-Ferrand, France: European College of Sport Science, 2004: 236–7Google Scholar
  82. 82.
    Nederhof E, Lemmink KAPM, Zwerver J, et al. Psychomotor speed is a possible marker for overreaching. Abstract Book of the 10th Annual Congress of the ECSS; 2005 Jul 13-16; Belgrade. Belgrade, Serbia: European College of Sport Science, 2005: 101Google Scholar
  83. 83.
    Mackinnon LT. Overtraining effects on immunity and performance in athletes. Immunol Cell Biol 2000; 78 (5): 502–9PubMedCrossRefGoogle Scholar
  84. 84.
    Nederhof E, Lemmink KAPM, Zwerver J, et al. The effect of high load training on psychomotor speed. Int J Sports Med. In pressGoogle Scholar
  85. 85.
    Nederhof E, Lemmink KAPM, Zwerver J. Cognitive speed and selective attention: possible markers for overtraining? In: Praagh EV, Coudert J, Fellmann N, Duché P, editors. Book of Abstracts of the 9th Annual Congress of the ECSS; 2004 Jul 3-6; Clermont-Ferrand. Clermont-Ferrand, France: European College of Sport Science, 2004: 288Google Scholar

Copyright information

© Adis Data Information BV 2006

Authors and Affiliations

  • Esther Nederhof
    • 1
    • 2
    Email author
  • Koen A. P. M. Lemmink
    • 1
    • 2
  • Chris Visscher
    • 1
    • 2
  • Romain Meeusen
    • 3
  • Theo Mulder
    • 1
    • 2
  1. 1.Center for Human Movement SciencesUniversity Medical Center Groningen, University of GroningenGroningenThe Netherlands
  2. 2.University Center for Sport, Movement and Health, University Medical Center GroningenGroningenThe Netherlands
  3. 3.Department of Human Physiology and Sports MedicineFree University of BrusselsBrusselsBelgium

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