Literature DB >> 19204572

Effects of high-intensity training by heart rate or power in well-trained cyclists.

Jeroen Swart1, Robert P Lamberts, Wayne Derman, Michael I Lambert.   

Abstract

The aim of this study was to determine whether the performance of cyclists after 4 weeks of high-intensity training improved similarly using either heart rate or power to prescribe training. Twenty-one well-trained men cyclists (age, 32 +/- 6 years; peak power output, 371 +/- 46 W) were randomly assigned to a power-based (GPOWER) or heart rate-based (GHEART) high-intensity training (HIT) group or a control group (GCONTROL). Training consisted of 8 repetitions of 4 minutes at either 80% of peak power output (GPOWER) or at the heart rate coinciding with 80% of peak power output (GHEART), with rest periods of 90 seconds. A 40-km time trial and VO2max test were performed before and after 8 training sessions. There were significant improvements (p < 0.05) in peak power output (GPOWER = 3.5%; GHEART = 5.0%) and 40-km time trial performance (GPOWER = 2.3%; GHEART = 2.1%) for both of the high-intensity groups. Although there were no significant differences between groups for these variables, when the data were analyzed using magnitude-based effects, the GHEART group showed greater probability of a "beneficial" effect for peak power output. The current general perception that prescribing training based only on power is more effective than prescribing training based on heart rate was not supported by the data from this study. Coaches who are unable to monitor progress frequently should prescribe training based on heart rate, when intervals are performed under stable conditions, because this may provide an additional advantage over prescribing training using power.

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Year:  2009        PMID: 19204572     DOI: 10.1519/JSC.0b013e31818cc5f5

Source DB:  PubMed          Journal:  J Strength Cond Res        ISSN: 1064-8011            Impact factor:   3.775


  10 in total

1.  Effects of high intensity training by heart rate or power in recreational cyclists.

Authors:  Michael E Robinson; Jeff Plasschaert; Nkaku R Kisaalita
Journal:  J Sports Sci Med       Date:  2011-09-01       Impact factor: 2.988

2.  Preseason Training: The Effects of a 17-Day High-Intensity Shock Microcycle in Elite Tennis Players.

Authors:  Jaime Fernandez-Fernandez; David Sanz-Rivas; Jose Manuel Sarabia; Manuel Moya
Journal:  J Sports Sci Med       Date:  2015-11-24       Impact factor: 2.988

3.  Programming Interval Training to Optimize Time-Trial Performance: A Systematic Review and Meta-Analysis.

Authors:  Michael A Rosenblat; Edward Lin; Bruno R da Costa; Scott G Thomas
Journal:  Sports Med       Date:  2021-04-07       Impact factor: 11.136

4.  Acute L-arginine alpha ketoglutarate supplementation fails to improve muscular performance in resistance trained and untrained men.

Authors:  Benjamin Wax; Andreas N Kavazis; Heather E Webb; Stanley P Brown
Journal:  J Int Soc Sports Nutr       Date:  2012-04-17       Impact factor: 5.150

Review 5.  Caveats and Recommendations to Assess the Validity and Reliability of Cycling Power Meters: A Systematic Scoping Review.

Authors:  Anthony Bouillod; Georges Soto-Romero; Frederic Grappe; William Bertucci; Emmanuel Brunet; Johan Cassirame
Journal:  Sensors (Basel)       Date:  2022-01-05       Impact factor: 3.576

6.  Effect of a high-intensity short-duration cycling elevation training mask on V̇O2max and anaerobic power. A randomized controlled trial.

Authors:  Gavin Devereux; Holly G Le Winton; Jane Black; Marco Beato
Journal:  Biol Sport       Date:  2021-03-09       Impact factor: 2.806

Review 7.  The Effect of Training Intensity on VO2max in Young Healthy Adults: A Meta-Regression and Meta-Analysis.

Authors:  Trisha D Scribbans; Stephan Vecsey; Paul B Hankinson; William S Foster; Brendon J Gurd
Journal:  Int J Exerc Sci       Date:  2016-04-01

8.  Comparison of Ventilatory Measures and 20 km Time Trial Performance.

Authors:  Willard W Peveler; Brandy Shew; Samantha Johnson; Gabe Sanders; Roger Kollock
Journal:  Int J Exerc Sci       Date:  2017-07-01

9.  In-Field Validation of an Inertial Sensor-Based System for Movement Analysis and Classification in Ski Mountaineering.

Authors:  Jules Gellaerts; Evgeny Bogdanov; Farzin Dadashi; Benoit Mariani
Journal:  Sensors (Basel)       Date:  2018-03-16       Impact factor: 3.576

10.  Active Recovery After High-Intensity Interval-Training Does Not Attenuate Training Adaptation.

Authors:  Thimo Wiewelhove; Christoph Schneider; Alina Schmidt; Alexander Döweling; Tim Meyer; Michael Kellmann; Mark Pfeiffer; Alexander Ferrauti
Journal:  Front Physiol       Date:  2018-04-18       Impact factor: 4.566

  10 in total

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