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Int J Sports Med 2024; 45(04): 301-308
DOI: 10.1055/a-2204-2953
Training & Testing

Standardized vs. Relative Intensity in CrossFit

Alejandro Oliver-López
1   Sport Research Center, Miguel Hernandez University of Elche, Elche, Spain
,
Adrián García-Valverde 
2   Faculty of Health Sciences, Isabel I of Castile International University, Burgos, Spain
,
Rafael Sabido
1   Sport Research Center, Miguel Hernandez University of Elche, Elche, Spain
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Abstract

CrossFit is characterized by being a standardized training program that improves physical performance through the provision of several stimuli regardless of the participant’s strength level. This study aimed to compare the acute response in total repetitions as a measurement of performance, jump ability, physiological demand (heart rate and blood lactate), and perceived effort considering the participants’ strength level with individualized intensity in CrossFit. Thirty-five participants were assessed and asked to participate on two separate days in a standardized and relative ‘As Many Repetitions As Possible’ (AMRAP) CrossFit circuit. Both AMRAPs comprised strength, gymnastic and aerobic exercises, although only strength was individualized according to the participant’s level. Before the statistical analysis, participants were allocated to higher- or lower-strength groups following the one-repetition maximum-bodyweight ratio in the push press exercise. Results support the existence of a strong relationship between strength level and total repetitions in both AMRAPs. In addition, differences in total repetitions and rate of perceived exertion between strength groups are discarded when AMRAP intensity is individualized while physiological demand and jump ability are maintained. Thus, the higher-strength participants may benefit from similar responses with a lower number of repetitions. Therefore, CrossFit trainers should be encouraged to prescribe strength tasks based on the percentage of 1RM for every training.

Key words

high-intensity resistance training - acute response - resistance


Publication History

Received: 30 May 2023

Accepted: 24 October 2023

Article published online:
18 December 2023

© 2023. Thieme. All rights reserved.

Georg Thieme Verlag
Rüdigerstraße 14, 70469 Stuttgart, Germany

 

  • References

  • 1 Shaw BS, Dullabh M, Forbes G. et al. Analysis of physiological determinants during a single bout of crossfit. Int J Perform Anal Sport 2015; 15: 809-815
    CrossrefPubMedGoogle Scholar
  • 2 Escobar KA, Morales J, Vandusseldorp TA. Metabolic profile of a crossfit training bout. J Human Sport Exerc 2017; 12: 1248-1255
    CrossrefPubMedGoogle Scholar
  • 3 Martínez-Gómez R, Valenzuela PL, Alejo LB. et al. Physiological predictors of competition performance in crossfit athletes. Int J Environ Res Public Health 2020; 17: 1-12
    CrossrefPubMedGoogle Scholar
  • 4 Weineck J. Entrenamiento total. Paidotribo;. 2005
    PubMedGoogle Scholar
  • 5 Sánchez-Medina L, González-Badillo JJ. Velocity loss as an indicator of neuromuscular fatigue during resistance training. Med Sci Sports Exerc 2011; 43: 1725-1734
    CrossrefPubMedGoogle Scholar
  • 6 Kraemer WJ, Ratamess NA. Fundamentals of Resistance Training: Progression and Exercise Prescription. Med Sci Sports Exerc 2004; 36: 674-688
    CrossrefPubMedGoogle Scholar
  • 7 Jiménez-Reyes P, Samozino P, Brughelli M. et al. Effectiveness of an individualized training based on force-velocity profiling during jumping. Front Physiol 2017; 7: 677
    CrossrefPubMedGoogle Scholar
  • 8 Bellar D, Hatchett A, Judge LW. et al. Herthe relationship of aerobic capacity, anaerobic peak power and experience to performance in CrossFit exercise. Biol Sport 2015; 32: 315-320
    CrossrefPubMedGoogle Scholar
  • 9 Mangine GT, Tankersley JE, McDougle JM. et al. Predictors of CrossFit Open Performance. Sports (Basel) 2020; 8: 102
    CrossrefPubMedGoogle Scholar
  • 10 Suchomel TJ, Comfort P, Lake JP. Enhancing the force-velocity profile of athletes using weightlifting derivatives. Strength Cond J 2017; 39: 10-20
    CrossrefPubMedGoogle Scholar
  • 11 Hoffman JR, Ratamess NA, Klatt M. et al. Comparison between different off-season resistance training programs in Division III American college football players. J Strength Cond Res 2009; 23: 11-9
    CrossrefPubMedGoogle Scholar
  • 12 Hartmann H, Wirth K, Keiner M. et al. Short-term Periodization Models: Effects on Strength and Speed-strength Performance. Sports Med 2015; 45: 1373-1386
    CrossrefPubMedGoogle Scholar
  • 13 Häkkinen K, Komi PV, Alén M. et al. EMG, muscle fibre and force production characteristics during a 1-year training period in elite weight-lifters. Eur J Appl Physiol Occup Physiol 1987; 56: 419-427
    CrossrefPubMedGoogle Scholar
  • 14 Prieske O, Chaabene H, Kullmann N. et al. Effects of Individualized Versus Traditional Power Training on Strength, Power, Jump Performances, and Body Composition in Young Male Nordic Athletes. Int J Sports Physiol Perform 2022; 17: 541-548
    CrossrefPubMedGoogle Scholar
  • 15 Claudino JG, Gabbett TJ, Bourgeois F. et al. CrossFit Overview: Systematic Review and Meta-analysis. Sports Med Open 2018; 4: 11
    CrossrefPubMedGoogle Scholar
  • 16 Weakley JJ, Till K, Darrall-Jones J. et al. The Influence of Resistance Training Experience on the Between-Day Reliability of Commonly Used Strength Measures in Male Youth Athletes. J Strength Cond Res 2017; 31: 2005-2010
    CrossrefPubMedGoogle Scholar
  • 17 Montalvo AM, Shaefer H, Rodriguez B. et al. Retrospective Injury Epidemiology and Risk Factors for Injury in CrossFit. J Sports Sci Med 2017; 16: 53-59
    PubMedGoogle Scholar
  • 18 Ángel Rodríguez M, García-Calleja P, Terrados N. et al. Injury in CrossFit: A Systematic Review of Epidemiology and Risk Factors. Phys Sports Med 2022; 50: 3-10
    CrossrefPubMedGoogle Scholar
  • 19 Grier T, Canham-Chervak M, McNulty V. et al. Extreme Conditioning Programs and Injury Risk in a US Army Brigade Combat Team. US Army Med Dep J 2013; Oct–Dez: 36-47
    PubMedGoogle Scholar
  • 20 Soriano MA, García-Ramos A, Torres-González A. et al. Comparison of 1-repetition-maximum performance across 3 weightlifting overhead pressing exercises and sport groups. Int J Sports Physiol Perform 2020; 15: 862-867
    CrossrefPubMedGoogle Scholar
  • 21 Haff G, Triplett NT. Essentials of strength training and conditioning. 4th edition. Champaign, IL: Human Kinetics,; 2016
    Google Scholar
  • 22 Buitrago M, Jianping M. Chinese Weightlifting Method: Technical mastery and training. Amherst, MA: Strength, LLC; 2018
    Google Scholar
  • 23 Lake JP, Mundy PD, Comfort P. Power and impulse applied during push press exercise. J Strength Cond Res 2014; 28: 2552-2559
    CrossrefPubMedGoogle Scholar
  • 24 Smith MM, Sommer AJ, Starkoff BE. et al. Crossfit-based high-intensity power training improves maximal aerobic fitness and body composition. J Strength Cond Res 2013; 27: 3159-3172
    CrossrefPubMedGoogle Scholar
  • 25 Borg G. Psychophysical scaling with applications in physical work and the perception of exertion. Scand J Work Environ Health 1990; 16: 55-58
    CrossrefPubMedGoogle Scholar
  • 26 Foster C, Florhaug JA, Franklin J. et al. A New Approach to Monitoring Exercise Training.. 2001
    PubMed
  • 27 Tanner RK, Fuller KL, Ross MLR. Evaluation of three portable blood lactate analysers: Lactate Pro, Lactate Scout and Lactate Plus. Eur J Appl Physiol 2010; 109: 551-559
    CrossrefPubMedGoogle Scholar
  • 28 Tanaka H, Monahan KD, Seals DR. Age-predicted maximal heart rate revisited. J Am Coll Cardiol 2001; 37: 153-156
    CrossrefPubMedGoogle Scholar
  • 29 Hopkins WG. A scale of magnitudes for effect statistics. A new view of statistics 2002; 502: 411
    PubMedGoogle Scholar
  • 30 Hedges LV. Distribution Theory for Glass’s Estimator of Effect size and Related Estimators. J Educ Behav Stats 1981; 6: 107-128
    CrossrefPubMedGoogle Scholar
  • 31 Schwingshandl J, Sudi K, Eibl B. et al. Effect of an individualised training programme during weight reduction on body composition: A randomised trial. Arch Dis Child 1999; 81: 426-428
    CrossrefPubMedGoogle Scholar
  • 32 Coakley SL, Passfield L. Individualised training at different intensities, in untrained participants, results in similar physiological and performance benefits. J Sports Sci 2018; 36: 881-888
    CrossrefPubMedGoogle Scholar
  • 33 Zabaloy S, Pareja-Blanco F, Giráldez JC. et al. Effects of individualised training programmes based on the force-velocity imbalance on physical performance in rugby players. Isokinet Exerc Sci 2020; 28: 181-190
    CrossrefPubMedGoogle Scholar
  • 34 Oliver-Lopez A, Garcia-Valverde A, Sabido R. Summary of the evidence on responses and adaptations derived from CrossFit training. A systematic review. Retos 2022; 46: 309-332
    CrossrefPubMedGoogle Scholar
  • 35 Butcher SJ, Judd TB, Benko CR. et al. Relative Intensity of Two Types of Crossfit Exercise: Acute Circuit and High-Intensity Interval Exercise. Journal of Fitness Research 2015; 4: 3-15
    PubMedGoogle Scholar
  • 36 Maté-Muñoz JL, Lougedo JH, Barba M. et al. Cardiometabolic and muscular fatigue responses to different crossfit workouts. J Sports Sci Med 2018; 17: 668-679
    PubMedGoogle Scholar
  • 37 Tibana RA, de Sousa NMF, Cunha GV. et al. Validity of Session Rating Perceived Exertion Method for Quantifying Internal Training Load during High-Intensity Functional Training. Sports 2018; 6: 68
    CrossrefPubMedGoogle Scholar
  • 38 Drum SN, Bellovary BN, Jensen RL. et al. Perceived demands and postexercise physical dysfunction in CrossFit compared to an ACSM based training session. J Sports Med Phys Fitness 2016; 57: 604-609
    PubMedGoogle Scholar
  • 39 Timón R, Olcina G, Camacho-Cardeñosa M. et al. 48-hour recovery of biochemical parameters and physical performance after two modalities of CrossFit workouts. Biol Sport 2019; 36: 283
    CrossrefPubMedGoogle Scholar
  • 40 Dias MR, Vieira JG, Pissolato JC. et al. TRAINING LOAD THROUGH HEART RATE AND PERCEIVED EXERTION DURING CROSSFIT. Revista Brasileira de Medicina do Esporte 2022; 28: 315-319
    CrossrefPubMedGoogle Scholar
  • 41 Maia NM, Kassiano W, Assumpção CO. et al. Neuromuscular and autonomic responses during a crossfit competition: A case study. Trends Sport Sci 2019; 26: 165-170
    PubMedGoogle Scholar
  • 42 Prado Dantas T, Aidar FJ, de Matos Gama D. et al. Avaliação da força, potência e temperatura corporal em uma sessão de crossfit Assessment of body strength, power and temperature in a crossfit session. Edições Desafio Singular 2018; 14: 311-315
    PubMedGoogle Scholar
  • 43 Serafini PR, Feito Y, Mangine GT. Self-reported Measures of Strength and Sport-Specific Skills Distinguish Ranking in an International Online Fitness Competition. J Strength Cond Res 2018; 32: 3474-3484
    CrossrefPubMedGoogle Scholar
  • 44 de Sousa Neto IV, de Sousa NMF, Neto FR. et al. Time Course of Recovery Following CrossFit Karen Benchmark Workout in Trained Men. Front Physiol 2022; 13: 1388
    PubMedGoogle Scholar
  • 45 Jordan B. Vertical jump height as an indicator of lower-extremity muscular fatigue in recreational Crossfit athletes. Reno: University of Nevada,; 2019
    Google Scholar
  • 46 Conde TF, De Souza Silva MR, Caobianco J. et al. Sensitivity of operational tests to training load in Crossfit. J Phys Educ Sport 2022; 22: 1493-1498
    PubMedGoogle Scholar
  • 47 Tibana RA, de Almeida LM, Frade de Sousa NM. et al. Two Consecutive Days of Extreme Conditioning Program Training Affects Pro and Anti-inflammatory Cytokines and Osteoprotegerin without Impairments in Muscle Power. Front Physiol 2016; 7: 260
    CrossrefPubMedGoogle Scholar
  • 48 Fernández-Fernández J, Sabido Solana R, Moya D. et al. Acute physiological responses during crossfit workouts. Motricidad - Eur J Human Movement 2015; 35: 114-124
    PubMedGoogle Scholar
  • 49 Perciavalle V, Marchetta NS, Giustiniani S. et al. Attentive processes, blood lactate and CrossFit. Phys Sportsmed 2016; 44: 403-406
    CrossrefPubMedGoogle Scholar
  • 50 Meier N, Sietmann D, Schmidt A. Comparison of Cardiovascular Parameters and Internal Training Load of Different 1-h Training Sessions in Non-elite CrossFit Athletes. J Sci Sport Exerc 2022; 5: 130-141
    CrossrefPubMedGoogle Scholar