Maximum heart rate predicted by formulas versus values obtained in graded exercise tests in Brazilian jiu-jitsu athletes
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Aerobic training can be conducted using the maximum heart rate (HRmax) target zone. This type of training is relevant to improving aerobic fitness and can help Brazilian jiu-jitsu athletes maintain optimal performance during and between matches. However, due to the lack of specificity of the generic equations in systematizing the training, the values can be overestimated, because athletes show specific morphophysiological adjustments.
The aim was to investigate the relationship between HRmax as estimated by means of formulas and HRmax as reached in graded exercise tests (GTX) in both the laboratory and the field.
13 male Brazilian jiu-jitsu athletes had their HRmax determined in GTX on the treadmill and in the field, and the HRmax was calculated based on FOX and TANAKA equations.
The HRmax value by the means equation FOX-HRmax (189 ± 6 bpm) was greater in comparison with the GTX (on treadmill: 183 ± 7 bpm; field test: 180 ± 10 bpm; p < 0.05). The equation TANAKA-HRmax (185 ± 4 bpm) showed higher values when compared to the field test (180 ± 10 bpm; p < 0.05). No differences were observed between TANAKA-HRmax and GTX on the treadmill (p > 0.05). The correlation observed was between FOX-HRmax and TANAKA-HRmax: (r = 0.99; p < 0.01).
FOX-HRmax and TANAKA-HRmax tend to overestimate the results compared to GTX. Thus, HRmax equations should be used and analyzed with caution. Conducting GTX is recommended to establish accurate values of HR.
KeywordsAthletic performance Martial arts Exercise test
Compliance with ethical standards
Conflict of interest
The authors declare that there are no conflicts of interests.
The research was approved by the University Center of Maringa (UNICESUMAR) Ethics Committee under the number 2,091,883/2017.
All athletes signed the informed consent form (ICF) to participate of this study.
- 6.College of Sports Medicine (2018) Guidelines for exercise testing and prescription, 10th edn. Wolters Kluwer Health, PhiladelphiaGoogle Scholar
- 7.McArdle WD, Katch FL, Katch VL (2014) Exercise physiology: nutrition, energy, and human performance, 8th edn. Wolters Kluwer Health, BaltimoreGoogle Scholar
- 8.Robergs RA, Landwehr R (2002) The surprising history of the “HRmax = 220-age” equation. JEP Online 5:1–10Google Scholar
- 9.Branco FC, Vianna JM, Lima JRP (2004) Frequência cardíaca na prescrição de treinamento de corredores de fundo. RBCM 12(2):75–79Google Scholar
- 13.Andreato LV, Julio UF, Panissa VL, Esteves JV, Hardt F, De Moraes SM, De Souza CO, Franchini E (2015) Brazilian jiu-jitsu simulated competition part I: metabolic, hormonal, cellular damage, and heart rate responses. J Strength Cond Res 29(9):2538–2549. https://doi.org/10.1519/JSC.0000000000000918 CrossRefPubMedGoogle Scholar
- 14.Branco BHM, Andreato LV, Mendes AA, Gilio GR, Andrade A, Nardo-Júnior N (2016) Effects of a Brazilian jiu-jitsu training session on physiological, biochemical, hormonal and perceptive responses. Arch Budo Sci Martial Art 12:145–154Google Scholar
- 16.Shannon SD, Gledhill BN, Jamnik VK, Warburton DE (2013) PAR-Q + and ePARmed-X + New risk stratification and physical activity clearance strategy for physicians and patients alike. Can Fam Physician 59(3):273–277 (PMID: 23486800) Google Scholar
- 17.World Anti-Doping Agency (WADA) (2017) The prohibited list. IOP Publishing Physics Web. https://wada-main-prod.s3.amazonaws.com/resources/files/wada-2015-prohibited-listen.pdf. Accessed 25 May 2017
- 18.Lohman TG, Roche AF, Martorell R (1988) Anthropometric standardization reference manual. Human Kinetics, ChampaignGoogle Scholar
- 19.Marfell-Jones MJ, Stewart AD, de Ridder JH (2012) International standards for anthropometric assessment. International Society for the Advancement of Kinanthropometry, WellingtonGoogle Scholar
- 21.Siri WE (1961) Body composition from fluid spaces and density. In: Brozek J, Henschel A (eds) Techniques for measuring body composition. National Academy of Science, Washington, pp 223–244Google Scholar
- 22.Carter JEL, Heath BH (1990) Somatotyping: development and applications. Cambridge University Press, CambridgeGoogle Scholar
- 23.Laurent CM, Green JM, Bishop PA, Sjökvist J, Schumacker RE, Richardson MT, Curtner-Smith M (2011) A practical approach to monitoring recovery: development of a perceived recovery status scale. J Strength Cond Res 25(3):620–628. https://doi.org/10.1519/JSC.0b013e3181c69ec6 CrossRefPubMedGoogle Scholar
- 25.Cooke CB (2009) Maximal oxygen uptake, economy and efficiency. In: Eston R, Reilly T (eds) Kinanthropometry and exercise physiology laboratory manual tests, procedures and data, 3rd edn. Routledge, London, pp 174–212Google Scholar
- 27.Marins JCB, Fernandez MD (2004) Comparação da frequência cardíaca máxima por meio de provas com perfil aeróbico e anaeróbico. Fit Perform J 3:166–174Google Scholar
- 28.Marins J (2003) Comparación de la frecuencia cardiaca máxima y fórmulas para su predicción. INEF Universidad de Granada, TeseGoogle Scholar
- 34.Franchini E (2010) Judô: desempenho competitivo. Manole, BarueriGoogle Scholar
- 35.Branco BHM, Silva JPL, Santos JFS, Julio UF, Panissa VLG, Franchini E (2017) Monitoring training during four weeks of three different modes of high-intensity interval training in judo athletes. Arch Budo 13:51–62Google Scholar