Int J Sports Med 2020; 41(03): 175-181
DOI: 10.1055/a-1018-1965
Training & Testing
© Georg Thieme Verlag KG Stuttgart · New York

Reliability of the Functional Threshold Power in Competitive Cyclists

Fernando Klitzke Borszcz
1   Center for Health and Sport Sciences, University of Santa Catarina State, Florianópolis, Brazil
2   Sports Centre, Federal University of Santa Catarina, Florianópolis, Brazil
,
Artur Ferreira Tramontin
1   Center for Health and Sport Sciences, University of Santa Catarina State, Florianópolis, Brazil
,
Vitor Pereira Costa
1   Center for Health and Sport Sciences, University of Santa Catarina State, Florianópolis, Brazil
› Institutsangaben
Weitere Informationen

Publikationsverlauf



accepted 11. September 2019

Publikationsdatum:
17. Januar 2020 (online)

Abstract

Functional threshold power (FTP) is defined as the highest power that a cyclist can maintain in a quasi-steady state without fatigue for approximately 1 hour. To improve practicality, a 20-minute time-trial test was proposed, where FTP is represented by 95% of the mean power produced. It is preceded by a specific 45-min warm-up, with periods of low intensity, fast accelerations, and a 5-min time-trial. Thus, the aim of this study was to determine the reliability of this protocol, including the reliability of the warm-up, pacing strategy, and FTP determination. For this purpose, 25 trained cyclists performed a familiarization and two other tests separated by seven days. The coefficient of variation (CV [%]), intraclass correlation coefficient (ICC), and change in the mean between test and retest were calculated. The results show that the 20-min time-trial was reliable (CV=2.9%, ICC=0.97), despite a less reliable warm-up (CV=5.5%, ICC=0.84). The changes in the mean between the test and retest were trivial to small for all measurements, and the pacing strategy was consistent across all trials. These results suggest that FTP determination with a 20-min protocol was reliable in trained cyclists.

 
  • References

  • 1 Borszcz FK, Tramontin AF, de Souza KM. et al. Physiological correlations with short, medium, and long cycling time-trial performance. Res Q Exerc Sport 2018; 89: 120-125
  • 2 Currell K, Jeukendrup AE.. Validity, reliability and sensitivity of measures of sporting performance. Sports Med 2008; 38: 297-316
  • 3 Hopkins WG, Schabort EJ, Hawley JA.. Reliability of power in physical performance tests. Sports Med 2001; 31: 211-234
  • 4 Reilly T, Morris T, Whyte G.. The specificity of training prescription and physiological assessment: A review. J Sports Sci 2009; 27: 575-589
  • 5 Passfield L, Hopker J, Jobson S. et al. Knowledge is power: Issues of measuring training and performance in cycling. J Sports Sci 2017; 35: 1426-1434
  • 6 Allen H, Coggan A.. Training and Racing with a Power Meter. 2nd ed. Boulder: Velopress; 2010
  • 7 Borszcz FK, Tramontin AF, Bossi AH. et al. Functional threshold power in cyclists: Validity of the concept and physiological responses. Int J Sports Med 2018; 39: 737-742
  • 8 Borszcz FK, Tramontin AF, Costa VP.. Is the functional threshold power interchangeable with the maximal lactate steady state in trained cyclists?. Int J Sports Physiol Perform 2019; 14: 1029-1035
  • 9 Valenzuela PL, Morales JS, Foster C. et al. Is the functional threshold power a valid surrogate of the lactate threshold?. Int J Sports Physiol Perform 2018; 13: 1293-1298
  • 10 Smith TB, Hopkins WG.. Variability and predictability of finals times of elite rowers. Med Sci Sports Exerc 2011; 43: 2155-2160
  • 11 Denham J, Scott-Hamilton J, Hagstrom AD. et al. Cycling power outputs predict functional threshold power and maximum oxygen uptake. J Strength Cond Res 2017; DOI: 10.1519/JSC.0000000000002253.
  • 12 MacInnis MJ, Thomas ACQ, Phillips SM.. The reliability of 4-minute and 20-minute time trials and their relationships to functional threshold power in trained cyclists. Int J Sports Physiol Perform 2019; 14: 38-45
  • 13 Morgan PT, Black MI, Bailey SJ. et al. Road cycle TT performance: Relationship to the power-duration model and association with FTP. J Sports Sci 2019; 37: 902-910
  • 14 McGowan CJ, Pyne DB, Thompson KG. et al. Warm-up strategies for sport and exercise: mechanisms and applications. Sports Med 2015; 45: 1523-1546
  • 15 Abbiss CR, Thompson KG, Lipski M. et al. Pacing differs between time- and distance-based time trials in trained cyclists. Int J Sports Physiol Perform 2016; 11: 1018-1023
  • 16 Costa VP, Guglielmo LGA, Paton CD.. The effects of block training on pacing during 20-km cycling time trial. Appl Physiol Nutr Metab 2017; 42: 391-398
  • 17 Nimmerichter A, Williams C, Bachl N. et al. Evaluation of a field test to assess performance in elite cyclists. Int J Sports Med 2010; 31: 160-166
  • 18 Stone MR, Thomas K, Wilkinson M. et al. Consistency of perceptual and metabolic responses to a laboratory-based simulated 4 000-m cycling time trial. Eur J Appl Physiol 2011; 111: 1807-1813
  • 19 Thomas K, Stone MR, Thompson St KG. et al. Reproducibility of pacing strategy during simulated 20-km cycling time trials in well-trained cyclists. Eur J Appl Physiol 2012; 112: 223-229
  • 20 Buchheit M.. Houston, we still have a problem. Int J Sports Physiol Perform 2017; 12: 1111-1114
  • 21 Batterham AM, George KP.. Reliability in evidence-based clinical practice: a primer for allied health professionals. Phys Ther Sport 2003; 4: 122-128
  • 22 de Pauw K, Roelands B, Cheung SS. et al. Guidelines to classify subject groups in sport-science research. Int J Sports Physiol Perform 2013; 8: 111-122
  • 23 Harriss DJ, Macsween A, Atkinson G.. Standards for ethics in sport and exercise science research: 2020 update. Int J Sports Med 2019; 40: 813-817
  • 24 Kuipers H, Verstappen F, Keizer H. et al. Variability of aerobic performance in the laboratory and its physiologic correlates. Int J Sports Med 1985; 06: 197-201
  • 25 Abbiss CR, Quod MJ, Levin G. et al. Accuracy of the Velotron ergometer and SRM power meter. Int J Sports Med 2009; 30: 107-112
  • 26 Hopkins WG, Marshall SW, Batterham AM. et al. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc 2009; 41: 3-13
  • 27 Hopkins WG.. Spreadsheets for analisys of validity and reliability. Sportscience 2015; 19: 36-42
  • 28 Abbiss CR, Laursen PB.. Describing and understanding pacing strategies during athletic competition. Sports Med 2008; 38: 239-252
  • 29 Cohen J.. Statiscal Power Analysis for the Behavioral Sciences. New Jersey: Lawrance Erlbaum; 1986
  • 30 Bishop D.. Reliability of a 1-h endurance performance test in trained female cyclists. Med Sci Sports Exerc 1997; 29: 554-559
  • 31 Jeukendrup A, Saris WH, Brouns F. et al. A new validated endurance performance test. Med Sci Sports Exerc 1996; 28: 266-270
  • 32 Triska C, Karsten B, Heidegger B. et al. Reliability of the parameters of the power-duration relationship using maximal effort time-trials under laboratory conditions. PLoS One 2017; 12: 1-12
  • 33 Hopkins WG.. Measures of reliability in sports medicine and science. Sports Med 2000; 30: 1-15
  • 34 Lamberts RP, Swart J, Noakes TD. et al. A novel submaximal cycle test to monitor fatigue and predict cycling performance. Br J Sports Med 2011; 45: 797-804
  • 35 Eston RG, Williams JG.. Reliability of ratings of perceived effort regulation of exercise intensity. Br J Sports Med 1988; 22: 153-155
  • 36 Paton CD, Hopkins WG.. Ergometer error and biological variation in power output in a performance test with three cycle ergometers. Int J Sports Med 2006; 27: 444-447
  • 37 Burnley M, Doust JH, Jones AM.. Effects of prior warm-up regime on severe-intensity cycling performance. Med Sci Sports Exerc 2005; 37: 838-845