Download PDF
Int J Sports Med 2022; 43(04): 350-356
DOI: 10.1055/a-1550-9977
Training & Testing

Similar Time Near VO2max Regardless of Work Rate Manipulation in Cycling Interval Training

Daiane Wommer
1   Physical Effort Laboratory, Federal University of Santa Catarina, Florianópolis, Brazil
,
Tiago Turnes 
1   Physical Effort Laboratory, Federal University of Santa Catarina, Florianópolis, Brazil
,
KristopherMendes Souza
1   Physical Effort Laboratory, Federal University of Santa Catarina, Florianópolis, Brazil
,
Luiz Guilherme Antonacci Guglielmo
1   Physical Effort Laboratory, Federal University of Santa Catarina, Florianópolis, Brazil
› Author Affiliations Funding The authors are grateful to the National Council for Scientific and Technological Development (CNPq) for their financial support. This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brasil (CAPES)-Finance Code 001.
› Further Information
Also available at
    Permissions and Reprints

Abstract

The current study aimed to compare time spent above 90% V̇O2max (tV̇O2max) during 3 work-matched interval training protocols comprising 8×60-second exercise efforts with decreasing, increasing, or constant work rate distribution within each exercise interval. Ten healthy male subjects (age: 27.6±5.0 years; V̇O2max: 3.82±0.52 L•min–1) performed an incremental test to determine V̇O2max and peak power output (P max). During visits 2, 3, and 4, three work-matched interval training sessions comprising 8×60 s efforts: 60 s active recovery with the power output held constant (100%Pmax; ITCON), decreasing (from 110 to 90%Pmax; ITDEC), or increasing (from 90 to 110%Pmax; ITINC) linearly throughout each work interval. Time sustained above 90% of V̇O2max (tV̇O2max) or HRmax (tHRmax), blood lactate concentrations (BLC) and rating of perceived exertion (RPE) were measured. The tV̇O2max (ITCON: 274±132; ITDEC: 313±102; ITINC: 310±113 s, P=0.37), tHRmax (ITCON: 396±180; ITDEC: 441±207; ITINC: 390±212 s, P=0.47), BLC (P=0.73), and final RPE (P=0.75) were similar among protocols. In conclusion, work-matched interval training induced similar time near V̇O2max and associated physiological responses regardless of work rate manipulation.

Key words

fitness - oxygen deficit - pacing strategy - sports performance - VO2 kinetics


Publication History

Received: 19 January 2021

Accepted: 13 July 2021

Accepted Manuscript online:
14 July 2021

Article published online:
12 October 2021

© 2021. Thieme. All rights reserved.

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

 

  • References

  • 1 Buchheit M, Laursen PB. High-intensity interval training, solutions to the programming puzzle: Part I: Cardiopulmonary emphasis. Sports Med 2013; 43: 313-338
    CrossrefPubMedSearch in Google Scholar
  • 2 Turnes T, de Aguiar RA, Cruz RS. et al. Interval training in the boundaries of severe domain: Effects on aerobic parameters. Eur J Appl Physiol 2016; 116: 161-169
    CrossrefPubMedSearch in Google Scholar
  • 3 Billat LV. Interval training for performance: A scientific and empirical practice. Special recommendations for middle- and long-distance running. Part II: Anaerobic interval training. Sports Med 2001; 31: 75-90
    CrossrefPubMedSearch in Google Scholar
  • 4 Zadow EK, Gordon N, Abbiss CR. et al. Pacing, the missing piece of the puzzle to high-intensity interval training. Int J Sports Med 2015; 36: 215-219
    Thieme ConnectPubMedSearch in Google Scholar
  • 5 Lisboa FD, Salvador AF, Raimundo JA. et al. Decreasing power output increases aerobic contribution during low-volume severe-intensity intermittent exercise. J Strength Cond Res 2015; 29: 2434-2440
    CrossrefPubMedSearch in Google Scholar
  • 6 de Aguiar RA, Turnes T, de Oliveira Cruz RS. et al. Fast-start strategy increases the time spent above 95%VO2max during severe-intensity intermittent running exercise. Eur J Appl Physiol 2013; 113: 941-949
    CrossrefPubMedSearch in Google Scholar
  • 7 Lisboa FD, Raimundo JAG, Salvador AF. et al. Acute cardiopulmonary, metabolic, and neuromuscular responses to severe-intensity intermittent exercises. J Strength Cond Res 2019; 33: 408-416
    CrossrefPubMedSearch in Google Scholar
  • 8 Jones AM, Wilkerson DP, Vanhatalo A. et al. Influence of pacing strategy on O2 uptake and exercise tolerance. Scand J Med Sci Sports 2008; 18: 615-626
    CrossrefPubMedSearch in Google Scholar
  • 9 Ronnestad BR, Romer T, Hansen J. Increasing oxygen uptake in well-trained cross-country skiers during work intervals with a fast start. Int J Sports Physiol Perform 2019; 1-7
    CrossrefPubMedSearch in Google Scholar
  • 10 Harriss DJ, MacSween A, Atkinson G. Ethical standards in sport and exercise science research: 2020 update. Int J Sports Med 2019; 40: 813-817
    Thieme ConnectPubMedSearch in Google Scholar
  • 11 Yoshida T, Chida M, Ichioka M. et al. Blood lactate parameters related to aerobic capacity and endurance performance. Eur J Appl Physiol 1987; 56: 7-11
    CrossrefPubMedSearch in Google Scholar
  • 12 Robergs RA, Dwyer D, Astorino T. Recommendations for improved data processing from expired gas analysis indirect calorimetry. Sports Med 2010; 40: 95-111
    CrossrefPubMedSearch in Google Scholar
  • 13 Keiller D, Gordon D. Confirming maximal oxygen uptake: is heart rate the answer?. Int J Sports Med 2018; 39: 198-203
    Thieme ConnectPubMedSearch in Google Scholar
  • 14 Foster C, Florhaug JA, Franklin J. et al. A new approach to monitoring exercise training. J Strength Cond Res 2001; 15: 109-115
    PubMedSearch in Google Scholar
  • 15 Thevenet D, Tardieu M, Zouhal H. et al. Influence of exercise intensity on time spent at high percentage of maximal oxygen uptake during an intermittent session in young endurance-trained athletes. Eur J Appl Physiol 2007; 102: 19-26
    CrossrefPubMedSearch in Google Scholar
  • 16 Turnes T, Salvador AF, Lisboa FD. et al. A fast-start pacing strategy speeds pulmonary oxygen uptake kinetics and improves supramaximal running performance. PLoS One 2014; 9: e111621
    CrossrefPubMedSearch in Google Scholar
  • 17 Billat V, Petot H, Karp JR. et al. The sustainability of VO2max: Effect of decreasing the workload. Eur J Appl Physiol 2013; 113: 385-394
    CrossrefPubMedSearch in Google Scholar
  • 18 Gillen JB, Gibala MJ. Is high-intensity interval training a time-efficient exercise strategy to improve health and fitness? Appl Physiol Nutr Metab 2014; 39: 409–412. doi:10.1139/apnm-2013-0187
    PubMed
  • 19 Midgley AW, McNaughton LR, Polman R. et al. Criteria for determination of maximal oxygen uptake: A brief critique and recommendations for future research. Sports Med 2007; 37: 1019-1028
    CrossrefPubMedSearch in Google Scholar
  • 20 Coyle EF, Coggan AR, Hopper MK. et al. Determinants of endurance in well-trained cyclists. J Appl Physiol (1985) 1988; 64: 2622-2630
    CrossrefPubMedSearch in Google Scholar
  • 21 Seiler S, Hetlelid KJ. The impact of rest duration on work intensity and RPE during interval training. Med Sci Sports Exerc 2005; 37: 1601-1607
    CrossrefPubMedSearch in Google Scholar
  • 22 Dall’Agnol C, Turnes T, de Lucas RD. Time spent near VO2max during different cycling self-paced interval training protocols. Int J Sports Physiol Perform 2021; Online ahead of print. doi: 10.1123/ijspp.2020-0314
    PubMed
  • 23 Midgley AW, McNaughton LR, Wilkinson M. Is there an optimal training intensity for enhancing the maximal oxygen uptake of distance runners?: Empirical research findings, current opinions, physiological rationale and practical recommendations. Sports Med 2006; 36: 117-132
    CrossrefPubMedSearch in Google Scholar
  • 24 Billat LV, Koralsztein JP. Significance of the velocity at VO2max and time to exhaustion at this velocity. Sports Med 1996; 22: 90-108
    CrossrefPubMedSearch in Google Scholar