Sports Medicine

, Volume 49, Issue 1, pp 31–39 | Cite as

Biological Background of Block Periodized Endurance Training: A Review

  • Vladimir B. IssurinEmail author
Review Article


Block periodized (BP) training is an innovative and prospective approach that is drawing increasing attention from coaching scientists and practitioners. However, its further dissemination and implementation demands serious scientific biological underpinnings. More specifically, the fundamental scientific concepts of homeostatic regulation, stress adaptation and the law of supercompensation determine the biological essence and content of appropriate block mesocycles, i.e., the accumulation, transmutation and realization cycles, respectively. Such a separation is intended to prevent conflicting physiological responses and provide a favorable interaction for training effects. Several studies have evaluated the metabolic effects of various training programs, and the superiority of the BP model has been confirmed in terms of significant gains of maximal oxygen uptake, maximal power output and positive trends in athletic performance. It was found that the endocrine status of athletes is strictly dependent on appropriate blocks such as voluminous extensive workloads combined with resistance training (accumulation), lower-volume intense training (transmutation), and event-specific precompetitive training (realization). Evidence from molecular biology indicates the major regulators that determine meaningful adaptive events within specific block mesocycles. Specifically, voluminous extensive accumulation blocks stimulate mitochondrial biogenesis and protein synthesis in slow-twitch muscle fibres, whereas lower-volume intense workloads of the transmutation blocks evoke adaptive modifications in fast-twitch glycolytic and oxidative-glycolytic muscle fibers. Furthermore, such a training program causes a remarkable elevation of myonuclear content in muscle fibers that enables athletes to regain previously acquired abilities. The precompetitive realization block produces accentuated expression of stress-related and myogenic genes that affect protein synthesis and increase muscle glycogen. In addition, such a program stimulates and increases the size, force and power of fast-twitch fibers.



The author is grateful to Professor V.A. Rogozkin for valuable consulting and to Mr. Mike Garmise for editing the English text.

Compliance with Ethical Standards


No funding was used to assist in the preparation of this review.

Conflicts of interest

Vladimir Issurin has no conflicts of interest that are relevant to the content of this review.


  1. 1.
    Issurin V. New horizons for the methodology and physiology of training periodization. Sports Med. 2010;40(3):189–206.CrossRefGoogle Scholar
  2. 2.
    Issurin V. Block periodization: breakthrough in sport training. Muskegon: Ultimate Training Concepts; 2008.Google Scholar
  3. 3.
    Issurin V. Building the modern athlete. Scientific advancements and training innovations. Muskegon: Ultimate Training Concepts; 2016.Google Scholar
  4. 4.
    Bernard C. Introduction a` l’e´tude de la medecine experimentale. Paris: Garnier-Flammarion; 1865.Google Scholar
  5. 5.
    Cannon W. Organization of physiological homeostasis. Physiol Rev. 1929;9:399–431.CrossRefGoogle Scholar
  6. 6.
    Viru A. Adaptation in sports training. Boca Raton: CRC Press; 1995.Google Scholar
  7. 7.
    Selye H. The physiology and pathology of exposure to stress. Montreal: ACTA Inc., Medical Publishers; 1950.Google Scholar
  8. 8.
    Hackney A. Stress and the neuroendocrine system: the role of exercise as a stressor and modifier of stress. Expert Rev Endocrinol Metab. 2006;1(6):783–92.CrossRefGoogle Scholar
  9. 9.
    Kiely J. Periodization theory: confronting an inconvenient truth. Sports Med. 2018;48:753–64.CrossRefGoogle Scholar
  10. 10.
    Afonso J, Nikolaidis T, Sousa P, et al. Is empirical research on periodization trustworthy? A comprehensive review of conceptual and methodological issues. J Sports Sci Med. 2017;16:27–34.Google Scholar
  11. 11.
    Jakovlev NN. Sportbiochemie. Leipzig: Barth; 1977.Google Scholar
  12. 12.
    Reader K. Carl Weigert und seine Bedeutung fuer die medizinishe Wissenschaft unserer Zeit. Whitefish: Kessinger Publishing, LLC; 2010.Google Scholar
  13. 13.
    Issurin V, Sharobajko I, Timofeyev V, et al. Particularities of annual preparation of top-level canoe-kayak paddlers during 1984-88 Olympic cycle. Scientific report. St. Petersburg: Leningrad Research Institute for Physical Culture; 1988 (in Russian).Google Scholar
  14. 14.
    Garcia-Pallares J, Garcia-Fernandez M, Sanchez-Medina L, et al. Performance changes in world-class kayakers following two different training periodization models. Eur J Appl Physiol. 2010;110:99–107.CrossRefGoogle Scholar
  15. 15.
    Breil FA, Weber SN, Koller S, et al. Block training periodization in alpine skiing: effect of 11-day HIT on VO2max and performance. Eur J Appl Physiol. 2010;109:1077–86.CrossRefGoogle Scholar
  16. 16.
    Stöggl T, Stieglbaur R, Sageder T, et al. Hochintensives Interval (HIT) und Schnelligkeits-training im Fussball. Leistungssport. 2010;5:43–9.Google Scholar
  17. 17.
    Mallo J. Effect of block periodization on physical fitness during a competitive soccer season. Int J Perform Anal Sport. 2012;12(1):64–74.CrossRefGoogle Scholar
  18. 18.
    Rønnestad BR, Hansen J, Ellefsen S. Block periodization of high-intensity aerobic intervals provides superior training effects in trained cyclists. Scand J Med Sci Sports. 2012;24:34–42.CrossRefGoogle Scholar
  19. 19.
    Bakken TA (2013) Effects of block periodization training versus traditional periodization training in trained cross country skiers. Master thesis, Liliehammer University College.Google Scholar
  20. 20.
    Rønnestad BR, Ellefsen S, Nygaard H, et al. Effects of 12 weeks of block periodization on performance and performance indices in well-trained cyclists. Scand J Med Sci Sports. 2014;24(2):327–35.CrossRefGoogle Scholar
  21. 21.
    Wahl P, Güldner M, Mester J. Effects and sustainability of a 13-day high-intensity shock microcycle in soccer. J Sports Sci Med. 2014;13:259–65.Google Scholar
  22. 22.
    Rønnestad B, Hansen J, Vetle Thyli V, et al. 5-week block periodization increases aerobic power in elite cross country skiers. Scand J Med Sci Sports. 2016;26(2):140–6.CrossRefGoogle Scholar
  23. 23.
    McGawley K, Juudas E, Kazior Z, et al. No additional benefits of block- over evenly-distributed high-intensity interval training within a polarized microcycle. Front Physiol. 2017;13(8):413. Scholar
  24. 24.
    Kiely J. New horizons for the methodology and physiology of training periodization. Block periodization: new horizon or a false dawn? Sports Med. 2010;40(9):803–7.CrossRefGoogle Scholar
  25. 25.
    Koprivica V. Block periodization—a breakthrough or a misconception. SportLogia. 2012;8(2):93–9.CrossRefGoogle Scholar
  26. 26.
    Buckler JM. Exercise as a screening test for growth hormone release. Acta Endocrinol (Copenh). 1972;69:219–25.CrossRefGoogle Scholar
  27. 27.
    Luyckx AS, Pirnay F, Krzentowski J, et al. Insulin and glucagon during muscular exercise in normal men. Biochemistry of exercise IV. Baltimore: University Park Press; 1981. p. 131–7.Google Scholar
  28. 28.
    Ahlborg G, Felig P. Influence of glucose ingestion on fuel-hormone response during prolonged exercise. J Appl Physiol. 1976;41:683–90.CrossRefGoogle Scholar
  29. 29.
    Bonen A, Belcastro AN, Mac Intyre K, et al. Hormonal response during rest and exercise with glucose. Med Sci Sports. 1977;9:64–9.Google Scholar
  30. 30.
    Viru A, Karelson K, Smirnova T. Stability and variability in hormone responses to prolonged exercise. Int J Sports Med. 1992;13:230–7.CrossRefGoogle Scholar
  31. 31.
    Yezova D, Vigas M, Tatar P, et al. Plasma testosterone and catecholamine responses to physical exercise of different intensity in men. Eur J Appl Physiol. 1985;54:62–8.CrossRefGoogle Scholar
  32. 32.
    Rogozkin VA. Metabolism of anabolic-androgenic steroids. London: CRC Press; 1991.Google Scholar
  33. 33.
    Zatsiorsky VM. Science and practice of strength training. Champaign (IL): Human Kinetics; 1995.Google Scholar
  34. 34.
    Lehmann M, Keul J, Da Prada M. Plasma catecholamines in trained and untrained volunteers during graduated exercises. Int J Sports Med. 1981;2:143–9.CrossRefGoogle Scholar
  35. 35.
    Schwarz L, Kindermann W. β-Endorphin, adrenocorticotropin hormone, cortisol and catecholamines during aerobic and anaerobic exercise. Eur J Appl Physiol. 1990;61:165–72.CrossRefGoogle Scholar
  36. 36.
    Farrell P, Moretti C, Bach F, et al. Beta-endorphin and adrenocorticotropin response to supramaximal treadmill exercise in trained and untrained males. Acta Physiol Scand. 1987;130:619–26.CrossRefGoogle Scholar
  37. 37.
    Rahkila P, Hakala E, Alen M, et al. β-Endorphin, and corticotropin release is dependent on a threshold intensity of running exercise in men endurance athletes. Life Sci. 1988;43:551–7.CrossRefGoogle Scholar
  38. 38.
    Eliakim A, Nemet D. Exercise training, physical fitness and the growth hormone-insulin-like growth factor-1 axis and cytokine balance. In: Jürimäe J, Hills AP, Jürimäe T, editors. Cytokines, growth mediators and physical activity in children during puberty. Basel: Medicine and Sport Science Karger; 2010. p. 128–40.CrossRefGoogle Scholar
  39. 39.
    Mäestu J, Jürimäe J, Jürimäe T. Hormonal response to maximal rowing before and after heavy increase in training volume in highly trained male rowers. J Sports Med Phys Fit. 2005;45(1):121–6.Google Scholar
  40. 40.
    Hooper SL, Mackinnon LT, Gordon RD, et al. Hormonal responses of elite swimmers to overtraining. Med Sci Sports Exerc. 1993;25:741–7.CrossRefGoogle Scholar
  41. 41.
    Mujika I. Tapering and peaking for optimal performance. Champaign (IL): Human Kinetics; 2009.Google Scholar
  42. 42.
    Costill DL, Thomas R, Robergs A, et al. Adaptations to swimming training: influence of training volume. Med Sci Sports Exerc. 1991;23:371–7.CrossRefGoogle Scholar
  43. 43.
    Flynn MG, Pizza FX, Boone JB Jr, et al. Indices of training stress during competitive running and swimming seasons. Int J Sports Med. 1994;15:21–6.CrossRefGoogle Scholar
  44. 44.
    Mujika I, Padilla S, Pyne D. Swimming performance changes during the final 3 weeks of training leading to the Sydney 2000 Olympic games. Int J Sports Med. 2002;23:582–7.CrossRefGoogle Scholar
  45. 45.
    Bonifazi M, Sardella F, Luppo C. Preparatory versus main competitions: differences in performances, lactate responses and pre-competition plasma cortisol concentrations in elite male swimmers. Eur J Appl Physiol. 2000;82:368–73.CrossRefGoogle Scholar
  46. 46.
    Tanaka H, Costill DL, Thomas R, et al. Dry-land resistance training for competitive swimming. Med Sci Sports Exerc. 1993;25:952–9.CrossRefGoogle Scholar
  47. 47.
    Eliakim A, Nemet D, Bar-Sela S, et al. Changes in circulating IGF-I and their correlation with self-assessment and fitness among elite athletes. Int J Sports Med. 2002;23:600–3.CrossRefGoogle Scholar
  48. 48.
    Filho H, Pires M, Puggina E, et al. Serum IGF-I, IGFBP-3 and ALS concentrations and physical performance in young swimmers during a training season. Growth Horm IGF Res. 2017;32:49–54.CrossRefGoogle Scholar
  49. 49.
    Goutianos G. Block periodization training of endurance athletes: a theoretical approach based on molecular biology. Cell Mol Exerc Physiol. 2006;4(2):1–11.Google Scholar
  50. 50.
    Baar K. Using molecular biology to maximize concurrent training. Sports Med. 2014;44(S2):S117–25.CrossRefGoogle Scholar
  51. 51.
    Fry CS, Noehren B, Mula J, et al. Fibre type-specific satellite cell response to aerobic training in sedentary adults. J Physiol. 2014;592(12):2625–35.CrossRefGoogle Scholar
  52. 52.
    Ahmetov I. Molecular genetics of sport. Moscow: Sovetski Sport; 2009.Google Scholar
  53. 53.
    Donovan MH, Tecott LH. Serotonin and the regulation of mammalian energy balance. Front Neurosci. 2013;7:36–45.CrossRefGoogle Scholar
  54. 54.
    Wang L, Mascher H, Psilander N, et al. Resistance exercise enhances the molecular signaling of mitochondrial biogenesis induced by endurance exercise in human skeletal muscle. J Appl Physiol. 2011;111:1335–44.CrossRefGoogle Scholar
  55. 55.
    Psilander N, Wang L, Westergren J, et al. Mitochondrial gene expression in elite cyclists: effects of high intensity exercises. Eur J Appl Physiol. 2010;110(3):597–606.CrossRefGoogle Scholar
  56. 56.
    Seene T, Alev K. Effect of muscular activity on the turnover rate of actin and myosin heavy and light chains in different types of skeletal muscle. Int J Sports Med. 1991;12:204–10.CrossRefGoogle Scholar
  57. 57.
    McKenzie A. Satellite cell behavior in cyclists following intensified training with and without protein supplementation. Masters thesis, James Madison University; 2015.Google Scholar
  58. 58.
    Sharples AP, Stewart CE, Seaborne RA. Does skeletal muscle have an ‘epi’-memory? The role of epigenetics in nutritional programming, metabolic disease, aging and exercise. Aging Cell. 2016;15(4):603–16.CrossRefGoogle Scholar
  59. 59.
    Luden N, Hayes E, Galpin A, et al. Myocellular basis for tapering in competitive distance runners. J Appl Physiol. 2010;108(6):1501–9.CrossRefGoogle Scholar
  60. 60.
    Murach K, Raue U, Wilkerson B, et al. Single muscle fiber gene expression with run taper. PLoS One. 2014;9(9):e108547.CrossRefGoogle Scholar
  61. 61.
    Murach K, Bagley J. Less is more: the physiological basis for tapering in endurance, strength, and power athletes. Sports. 2015;3:209–18.CrossRefGoogle Scholar
  62. 62.
    Gundersen K. Muscle memory and a new cellular model for muscle atrophy and hypertrophy. J Exp Biol. 2016;219(2):235–42.CrossRefGoogle Scholar
  63. 63.
    Egner IM, Bruusgaard JC, Eftestøl E, et al. A cellular memory mechanism aids overload hypertrophy in muscle long after an episodic exposure to anabolic steroids. J Physiol. 2013;591(24):6221–30.CrossRefGoogle Scholar
  64. 64.
    Stepto NK, Benziane B, Wadley GD, et al. Short-term intensified cycle training alters acute and chronic responses of PGC1α and cytochrome C oxidase IV to exercise in human skeletal muscle. PLoS ONE. 2012;7(12):e53080.CrossRefGoogle Scholar
  65. 65.
    Rønnestad BR, Hansen J, Vegge G, et al. Short-term performance peaking in an elite cross-country mountain biker. J Sports Sci. 2017;35(14):1392–5.CrossRefGoogle Scholar
  66. 66.
    Seene T, Kaasik P, Alev K, et al. Composition and turnover of contractile proteins in volume-overtrained skeletal muscle. Int J Sports Med. 2004;25:438–45.CrossRefGoogle Scholar
  67. 67.
    Balsom PD, Gaitano GC, Soderlund K, et al. High-intensity exercise and muscle glycogen availability in humans. Acta Physiol Scand. 1999;165:337–45.CrossRefGoogle Scholar
  68. 68.
    Rockwell MS, Rankin JW, Dixon H. Effects of muscle glycogen on performance of repeated sprints and mechanisms of fatigue. Int J Sport Nutr Exerc Metab. 2003;13:1–14.CrossRefGoogle Scholar
  69. 69.
    Trappe S, Costill D, Thomas R. Effect of swim taper on whole muscle and single muscle fiber contractile properties. Med Sci Sports Exerc. 2000;32:48–56.Google Scholar
  70. 70.
    Neary JP, Martin TP, Quinney HA. Effects of taper on endurance cycling capacity and single muscle fiber properties. Med Sci Sports Exerc. 2003;35:1875–81.CrossRefGoogle Scholar
  71. 71.
    Coffey V, Hawley J. The molecular bases of training adaptation. Sports Med. 2007;37(9):737–63.CrossRefGoogle Scholar
  72. 72.
    Bangsbo J, Iaia FM, Krustrup P. The Yo-Yo intermittent recovery test : a useful tool for evaluation of physical performance in intermittent sports. Sports Med. 2008;38(1):37–51.CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Elite Sport DepartmentWingate InstituteNetanyaIsrael

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