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Biological Background of Block Periodized Endurance Training: A Review

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Abstract

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.

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References

  1. Issurin V. New horizons for the methodology and physiology of training periodization. Sports Med. 2010;40(3):189–206.

    Article  PubMed  Google Scholar 

  2. Issurin V. Block periodization: breakthrough in sport training. Muskegon: Ultimate Training Concepts; 2008.

    Google Scholar 

  3. Issurin V. Building the modern athlete. Scientific advancements and training innovations. Muskegon: Ultimate Training Concepts; 2016.

    Google Scholar 

  4. Bernard C. Introduction a` l’e´tude de la medecine experimentale. Paris: Garnier-Flammarion; 1865.

    Google Scholar 

  5. Cannon W. Organization of physiological homeostasis. Physiol Rev. 1929;9:399–431.

    Article  Google Scholar 

  6. Viru A. Adaptation in sports training. Boca Raton: CRC Press; 1995.

    Google Scholar 

  7. Selye H. The physiology and pathology of exposure to stress. Montreal: ACTA Inc., Medical Publishers; 1950.

    Google Scholar 

  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.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Kiely J. Periodization theory: confronting an inconvenient truth. Sports Med. 2018;48:753–64.

    Article  PubMed  Google Scholar 

  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.

    PubMed  PubMed Central  Google Scholar 

  11. Jakovlev NN. Sportbiochemie. Leipzig: Barth; 1977.

    Google Scholar 

  12. Reader K. Carl Weigert und seine Bedeutung fuer die medizinishe Wissenschaft unserer Zeit. Whitefish: Kessinger Publishing, LLC; 2010.

    Google Scholar 

  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. 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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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. Mallo J. Effect of block periodization on physical fitness during a competitive soccer season. Int J Perform Anal Sport. 2012;12(1):64–74.

    Article  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  19. Bakken TA (2013) Effects of block periodization training versus traditional periodization training in trained cross country skiers. Master thesis, Liliehammer University College.

  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.

    Article  PubMed  Google Scholar 

  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.

    PubMed  PubMed Central  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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. https://doi.org/10.3389/fphys.2017.00413.

    Article  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  25. Koprivica V. Block periodization—a breakthrough or a misconception. SportLogia. 2012;8(2):93–9.

    Article  Google Scholar 

  26. Buckler JM. Exercise as a screening test for growth hormone release. Acta Endocrinol (Copenh). 1972;69:219–25.

    Article  CAS  Google Scholar 

  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. Ahlborg G, Felig P. Influence of glucose ingestion on fuel-hormone response during prolonged exercise. J Appl Physiol. 1976;41:683–90.

    Article  CAS  PubMed  Google Scholar 

  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. Viru A, Karelson K, Smirnova T. Stability and variability in hormone responses to prolonged exercise. Int J Sports Med. 1992;13:230–7.

    Article  CAS  PubMed  Google Scholar 

  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.

    Article  Google Scholar 

  32. Rogozkin VA. Metabolism of anabolic-androgenic steroids. London: CRC Press; 1991.

    Google Scholar 

  33. Zatsiorsky VM. Science and practice of strength training. Champaign (IL): Human Kinetics; 1995.

    Google Scholar 

  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.

    Article  CAS  PubMed  Google Scholar 

  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.

    Article  CAS  Google Scholar 

  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.

    Article  CAS  PubMed  Google Scholar 

  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.

    Article  CAS  PubMed  Google Scholar 

  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.

    Chapter  Google Scholar 

  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. Hooper SL, Mackinnon LT, Gordon RD, et al. Hormonal responses of elite swimmers to overtraining. Med Sci Sports Exerc. 1993;25:741–7.

    Article  CAS  PubMed  Google Scholar 

  41. Mujika I. Tapering and peaking for optimal performance. Champaign (IL): Human Kinetics; 2009.

    Google Scholar 

  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.

    Article  CAS  PubMed  Google Scholar 

  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.

    Article  CAS  PubMed  Google Scholar 

  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.

    Article  CAS  PubMed  Google Scholar 

  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.

    Article  CAS  PubMed  Google Scholar 

  46. Tanaka H, Costill DL, Thomas R, et al. Dry-land resistance training for competitive swimming. Med Sci Sports Exerc. 1993;25:952–9.

    Article  CAS  PubMed  Google Scholar 

  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.

    Article  CAS  PubMed  Google Scholar 

  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.

    Article  CAS  Google Scholar 

  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. Baar K. Using molecular biology to maximize concurrent training. Sports Med. 2014;44(S2):S117–25.

    Article  PubMed  Google Scholar 

  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.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Ahmetov I. Molecular genetics of sport. Moscow: Sovetski Sport; 2009.

    Google Scholar 

  53. Donovan MH, Tecott LH. Serotonin and the regulation of mammalian energy balance. Front Neurosci. 2013;7:36–45.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  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.

    Article  CAS  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  CAS  PubMed  Google Scholar 

  57. McKenzie A. Satellite cell behavior in cyclists following intensified training with and without protein supplementation. Masters thesis, James Madison University; 2015.

  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.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  60. Murach K, Raue U, Wilkerson B, et al. Single muscle fiber gene expression with run taper. PLoS One. 2014;9(9):e108547.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. Murach K, Bagley J. Less is more: the physiological basis for tapering in endurance, strength, and power athletes. Sports. 2015;3:209–18.

    Article  Google Scholar 

  62. Gundersen K. Muscle memory and a new cellular model for muscle atrophy and hypertrophy. J Exp Biol. 2016;219(2):235–42.

    Article  PubMed  Google Scholar 

  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.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  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.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  CAS  PubMed  Google Scholar 

  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.

    Article  CAS  PubMed  Google Scholar 

  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.

    Article  CAS  PubMed  Google Scholar 

  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.

    PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  71. Coffey V, Hawley J. The molecular bases of training adaptation. Sports Med. 2007;37(9):737–63.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

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Acknowledgements

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

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  1. Elite Sport Department, Wingate Institute, 42902, Netanya, Israel

    Vladimir B. Issurin

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Correspondence to Vladimir B. Issurin.

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

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Issurin, V.B. Biological Background of Block Periodized Endurance Training: A Review. Sports Med 49, 31–39 (2019). https://doi.org/10.1007/s40279-018-1019-9

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