The decrease in the performance of athlete is often associated with an imbalance between workload and recovery period. Thus, it is very important to implement tools which can assist in the quantifying the effects of workloads, so that the maximum performance of the athlete is reached. In this context, we know little about the influence of selective load periodization system (SLPS) on cardiac autonomic control and the effects on stress markers already known. Thus, the aim of this study was to investigate if the application of SLPS promoted alterations in autonomic modulation of heart rate variability (HRV), as well as same stress markers. Therefore, sixteen male basketball players (mean ± SE: age 23.3 ± 1.0 years; mass 87.5 ± 3.5 kg; height 194 2 cm) were submitted to SLPS and evaluated before and after a competition period. The HRV was evaluated by a spectral analysis of the time series composed of R-R intervals obtained in the supine position and during a tilt test. The evaluation of stress markers consisted of measuring plasma catecholamines, cortisol and free testosterone. The results demonstrated that the training load used during the competition period did not cause significant changes in the autonomic modulation of HRV. This affirmation is supported by the absence of change in oscillations of low frequency (LF: 0,04-0,15Hz), that corresponding to sympathetic and parasympathetic modulations, and high frequency (HF:0,15-05Hz), that corresponding only to parasympathetic modulations of HRV. Additionally, no changes were observed in plasma concentrations of catecholamines, free testosterone, cortisol and, consequently, in testosterone/cortisol ratio, when pre-competition and post-competition values were compared. In summary, our findings suggest that the use of SLPS in basketball athletes presented balance between workloads and recovery periods. However, further investigations are needed, including in other sports, so that we can evaluate the effects of SLPS on cardiac autonomic modulation and stress markers evaluated in this study.
Published in | American Journal of Sports Science (Volume 3, Issue 3) |
DOI | 10.11648/j.ajss.20150303.12 |
Page(s) | 46-51 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2015. Published by Science Publishing Group |
Cardiac Autonomic Modulation, Catecholamines, Testosterone/Cortisol Ratio
[1] | Bompa T, Haff G. Periodization: theory and methodology of training. Human Kinetics, Champaign, 2009. |
[2] | Moreira, A. La periodización del entrenamiento y las cuestiones emergentes: el caso de los deportes de equipo [Periodization of training and emerging issues: the case of team sports]. Rev Andal Med Deporte 2010; 3: 170-178. |
[3] | Matveev LP. Treino Desportivo: metodologia e planejamento. Guarulhos, SP: Phorte, 1997. |
[4] | Issurin, V. Block periodization versus traditional training theory: a review. J Sports Med Phys Fitness 2008; 48: 65–75. |
[5] | Issurin, V. New Horizons for the Methodology and Physiology of Training Periodization. Sports Med 2010; 40: 189-206. |
[6] | Gomes, AC. Treinamento desportivo - estruturação e periodização [Sports training - structuring and periodization]. 2rd ed., Porto Alegre, SC: Artmed, 2009. |
[7] | Hoffman JR, Kang J, Ratamess NA, Faigenbaum AD. Biochemical and hormonal responses during an intercollegiate football season. Med Sci Sports Exerc 2005; 37: 1237-1241. |
[8] | Schelling X, Calleja-González J, Torres-Ronda L, Terrados N. Using testosterone and cortisol as biomarker for training individualization in elite basketball: a 4-year follow-up study. J Strength Cond Res 2015; 29: 368-378. |
[9] | Kiviniemi AM, Hautala AJ, Kinnunem H, Tulppo MP. Endurance training guided individually by daily heart rate variability measurements. Eur J Appl Physiol 2007; 101: 743-751. |
[10] | Kiviniemi AM, Hautala AJ, Mäkikallio TH, Seppänen T, Huikuri HV, Tulppo MP. Cardiac vagal outflow after aerobic training by analysis of high-frequency oscillation of the R-R interval. Eur J Appl Physiol 2006; 96: 686-692. |
[11] | Lehmann M, Gastmann U, Petersen KG, Bachl N, Seidel A, Khalaf AN, Fischer S, Keul J. Training - overtraining: performance, and hormone levels, after a defined increase in training volume versus intensity in experienced middle and long distance runners. Br J Sports Med 1992; 26: 233-242. |
[12] | Papacosta E, Nassis GP. Saliva as a tool for monitoring steroid, peptide and immune markers in sport and exercise science. J Sci Med Sport 2011; 14: 424-434. |
[13] | Hug M, Mullis PE, Vogt M, Ventura N, Hoppeler H. Training modalities: over-reaching and over-training in athletes, including a study of the role of hormones. Best Pract Res Clin Endocrinol Metab 2003; 17: 191-209. |
[14] | Kraemer WJ, Ratamess NA. Hormonal responses and adaptations to resistance exercise and training. Sports Med 2005; 35: 339-361. |
[15] | Malliani A, Pagani M, Lombardi F, Cerutti S. Cardiovascular neural regulation explored in the frequency domain. Circulation 1991; 84: 482-492. |
[16] | Rubini R, Porta A, Baselli G, Cerutti S, Paro M. Power spectrum analysis of cardiovascular variability monitored by telemetry in conscious unrestrained rats. J Auton Nerv Syst 1993; 45: 181-190. |
[17] | Task Force. Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Circulation 1996; 93: 1043-1065. |
[18] | Hartwig TB, Naughton G, Searl J. Load, stress, and recovery in adolescent rugby union players during a competitive season. J Sports Sci 2009; 27: 1087-1094. |
[19] | Raczak G, Daniłowicz-Szymanowicz L, Kobuszewska-Chwirot M, Ratkowski W, Figura-Chmielewska M, Szwoch M. Long-term exercise training improves autonomic nervous system profile in professional runners. Kardio Pol 2006; 64: 135-140. |
[20] | Sztajzel J, Jung M, Sievert K, Bayes De Luna A. Cardiac autonomic profile in different sports disciplines during all-day activity. J Sports Med Phys Fitness 2008; 48: 495-501. |
[21] | Collier SR, Kanaley JA, Carhart RJr, Frechette V, Tobin MM, Bennett N, Luckenbaugh AN, Fernhall B. Cardiac autonomic function and baroreflex changes following 4 weeks of resistance versus aerobic training in individuals with pre-hypertension. Acta Physiol 2009; 195: 339-348. |
[22] | Bonaduce D, Petretta M, Cavallaro V, Apicella C, Ianniciello A, Romano M, Breglio R, Marciano F. Intensive training and cardiac autonomic control in high level athletes. Med Sci Sports Exerc 1998; 30: 691-696. |
[23] | Vinet A, Beck L, Nottin S, Obert P. Effect of intensive training on heart rate variability in prepubertal swimmers. Eur J Clin Invest 2005; 35: 610-614. |
[24] | Souza HC, Martins-Pinge MC, Dias da Silva VJ, Borghi-Silva A, Gastaldi AC, Blanco JH, Tezini GC. Heart rate and arterial pressure variability in the experimental renovascular hypertension model in rats. Auton Neurosci 2008; 139: 38-45. |
[25] | Zouhal H, Jacob C, Delamarche P, Gratas-Delamarche A. Catecholamines and the effects of exercise, training and gender. Sports Med 2008; 38: 401-423. |
[26] | Lane AR, Duke JW, Hackney AC. Influence of dietary carbohydrate intake on the free testosterone: cortisol ratio responses to short-term intensive exercise training. Eur J Appl Physiol 2010; 108: 1125-1131. |
[27] | Mazon J, Gastaldi A, Di Sacco T, Cozza I, Dutra S, Souza H. Effects of training periodization on cardiac autonomic modulation and endogenous stress markers in volleyball players. Scand J Med Sci Sports 2013; 23: 114-120. |
[28] | Nevill ME, Boobis LH, Brooks S, Williams C. Effect of training on muscle metabolism during treadmill sprinting. J Appl Physiol 1989; 67: 2376-2382. |
[29] | Jacob C, Zouhal H, Vincent S, Gratas-Delamarche A, Berthon PM, Bentué-Ferrer D, Delamarche P. Training status (endurance or sprint) and catecholamine response to the Wingate-test in women. Int J Sports Med 2002; 23: 342-347. |
[30] | Frankenhaeuser M, Dunne E, Lundberg U. Sex differences in sympathetic-adrenal medullary reactions induced by different stressors. Psychopharmacology 1976; 47: 1-5. |
[31] | Zouhal H, Jacob C, Rannou F, Gratas-Delamarche A, Bentué-Ferrer D, Delamarche P. Effect of training status on the sympathoadrenal activity during a supramaximal exercise in human. J Sports Med Phys Fitness 2001; 41: 330-336. |
[32] | Garatachea N, Hernández-García R, Villaverde C, González-Gallego J, Torres-Luque G. Effects of 7-weeks competitive training period on physiological and mental condition of top level judoists. J Sports Med Phys Fitness 2012; 52: 1-10. |
[33] | Urhausen A, Gabriel H, Kindermann W. Blood hormones as markers of training stress and overtraining. Sports Med 1995; 20: 251-276. |
[34] | Silva JR, Ascensão A, Marques F, Seabra A, Rebelo A, Magalhães J. Neuromuscular function, hormonal and redox status and muscle damage of professional soccer players after a high-level competitive match. Eur J Appl Physiol 2013; 113: 2193-2201. |
[35] | Lac G, Berthon P. Changes in cortisol and testosterone levels and T/C ratio during an endurance competition and recovery. J Sports Med Phys Fitness 2000; 40: 139-144. |
APA Style
José Henrique Mazon, Ada Clarice Gastaldi, Marli Cardoso Martins-Pinge, João Eduardo de Araújo, Hugo Celso Dutra de Souza. (2015). Study of Heart Rate Variability and Stress Markers in Basketball Players Submitted to Selective Loads Periodization System. American Journal of Sports Science, 3(3), 46-51. https://doi.org/10.11648/j.ajss.20150303.12
ACS Style
José Henrique Mazon; Ada Clarice Gastaldi; Marli Cardoso Martins-Pinge; João Eduardo de Araújo; Hugo Celso Dutra de Souza. Study of Heart Rate Variability and Stress Markers in Basketball Players Submitted to Selective Loads Periodization System. Am. J. Sports Sci. 2015, 3(3), 46-51. doi: 10.11648/j.ajss.20150303.12
AMA Style
José Henrique Mazon, Ada Clarice Gastaldi, Marli Cardoso Martins-Pinge, João Eduardo de Araújo, Hugo Celso Dutra de Souza. Study of Heart Rate Variability and Stress Markers in Basketball Players Submitted to Selective Loads Periodization System. Am J Sports Sci. 2015;3(3):46-51. doi: 10.11648/j.ajss.20150303.12
@article{10.11648/j.ajss.20150303.12, author = {José Henrique Mazon and Ada Clarice Gastaldi and Marli Cardoso Martins-Pinge and João Eduardo de Araújo and Hugo Celso Dutra de Souza}, title = {Study of Heart Rate Variability and Stress Markers in Basketball Players Submitted to Selective Loads Periodization System}, journal = {American Journal of Sports Science}, volume = {3}, number = {3}, pages = {46-51}, doi = {10.11648/j.ajss.20150303.12}, url = {https://doi.org/10.11648/j.ajss.20150303.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajss.20150303.12}, abstract = {The decrease in the performance of athlete is often associated with an imbalance between workload and recovery period. Thus, it is very important to implement tools which can assist in the quantifying the effects of workloads, so that the maximum performance of the athlete is reached. In this context, we know little about the influence of selective load periodization system (SLPS) on cardiac autonomic control and the effects on stress markers already known. Thus, the aim of this study was to investigate if the application of SLPS promoted alterations in autonomic modulation of heart rate variability (HRV), as well as same stress markers. Therefore, sixteen male basketball players (mean ± SE: age 23.3 ± 1.0 years; mass 87.5 ± 3.5 kg; height 194 2 cm) were submitted to SLPS and evaluated before and after a competition period. The HRV was evaluated by a spectral analysis of the time series composed of R-R intervals obtained in the supine position and during a tilt test. The evaluation of stress markers consisted of measuring plasma catecholamines, cortisol and free testosterone. The results demonstrated that the training load used during the competition period did not cause significant changes in the autonomic modulation of HRV. This affirmation is supported by the absence of change in oscillations of low frequency (LF: 0,04-0,15Hz), that corresponding to sympathetic and parasympathetic modulations, and high frequency (HF:0,15-05Hz), that corresponding only to parasympathetic modulations of HRV. Additionally, no changes were observed in plasma concentrations of catecholamines, free testosterone, cortisol and, consequently, in testosterone/cortisol ratio, when pre-competition and post-competition values were compared. In summary, our findings suggest that the use of SLPS in basketball athletes presented balance between workloads and recovery periods. However, further investigations are needed, including in other sports, so that we can evaluate the effects of SLPS on cardiac autonomic modulation and stress markers evaluated in this study.}, year = {2015} }
TY - JOUR T1 - Study of Heart Rate Variability and Stress Markers in Basketball Players Submitted to Selective Loads Periodization System AU - José Henrique Mazon AU - Ada Clarice Gastaldi AU - Marli Cardoso Martins-Pinge AU - João Eduardo de Araújo AU - Hugo Celso Dutra de Souza Y1 - 2015/05/21 PY - 2015 N1 - https://doi.org/10.11648/j.ajss.20150303.12 DO - 10.11648/j.ajss.20150303.12 T2 - American Journal of Sports Science JF - American Journal of Sports Science JO - American Journal of Sports Science SP - 46 EP - 51 PB - Science Publishing Group SN - 2330-8540 UR - https://doi.org/10.11648/j.ajss.20150303.12 AB - The decrease in the performance of athlete is often associated with an imbalance between workload and recovery period. Thus, it is very important to implement tools which can assist in the quantifying the effects of workloads, so that the maximum performance of the athlete is reached. In this context, we know little about the influence of selective load periodization system (SLPS) on cardiac autonomic control and the effects on stress markers already known. Thus, the aim of this study was to investigate if the application of SLPS promoted alterations in autonomic modulation of heart rate variability (HRV), as well as same stress markers. Therefore, sixteen male basketball players (mean ± SE: age 23.3 ± 1.0 years; mass 87.5 ± 3.5 kg; height 194 2 cm) were submitted to SLPS and evaluated before and after a competition period. The HRV was evaluated by a spectral analysis of the time series composed of R-R intervals obtained in the supine position and during a tilt test. The evaluation of stress markers consisted of measuring plasma catecholamines, cortisol and free testosterone. The results demonstrated that the training load used during the competition period did not cause significant changes in the autonomic modulation of HRV. This affirmation is supported by the absence of change in oscillations of low frequency (LF: 0,04-0,15Hz), that corresponding to sympathetic and parasympathetic modulations, and high frequency (HF:0,15-05Hz), that corresponding only to parasympathetic modulations of HRV. Additionally, no changes were observed in plasma concentrations of catecholamines, free testosterone, cortisol and, consequently, in testosterone/cortisol ratio, when pre-competition and post-competition values were compared. In summary, our findings suggest that the use of SLPS in basketball athletes presented balance between workloads and recovery periods. However, further investigations are needed, including in other sports, so that we can evaluate the effects of SLPS on cardiac autonomic modulation and stress markers evaluated in this study. VL - 3 IS - 3 ER -