Literature DB >> 9839839

The influence of training characteristics and tapering on the adaptation in highly trained individuals: a review.

I Mujika1.   

Abstract

In the general population, the adaptation to training seems to be dependent on factors such as training intensity, volume and frequency, and the initial level of fitness. In highly trained athletes, however, training intensity and initial performance level appear to be the most important factors influencing the response to training, and therefore competition performance, provided that necessary training volume and frequency are assured. When preparing for a major competition, athletes tend to reduce their training load for a variable period of time. This technique, known as taper, can have a major influence on the athlete's performance. The response to taper may be affected by the degree to which training intensity, volume and frequency are reduced, as well as by the combined effects of these variables. A thorough review of the available literature suggests that training volume and frequency can be reduced to a higher extent than training intensity, if falling into detraining is to be avoided. Moreover, the duration of the taper period and the time constant of decay of the training load can also affect the response to taper. Indeed, slow progressive reductions appear to be more effective than sudden standardized reductions in improving the athlete's performance level.

Mesh:

Year:  1998        PMID: 9839839     DOI: 10.1055/s-2007-971942

Source DB:  PubMed          Journal:  Int J Sports Med        ISSN: 0172-4622            Impact factor:   3.118


  26 in total

Review 1.  Detraining: loss of training-induced physiological and performance adaptations. Part II: Long term insufficient training stimulus.

Authors:  I Mujika; S Padilla
Journal:  Sports Med       Date:  2000-09       Impact factor: 11.136

Review 2.  Training techniques to improve endurance exercise performances.

Authors:  Zuko N Kubukeli; Timothy D Noakes; Steven C Dennis
Journal:  Sports Med       Date:  2002       Impact factor: 11.136

Review 3.  A framework for understanding the training process leading to elite performance.

Authors:  David J Smith
Journal:  Sports Med       Date:  2003       Impact factor: 11.136

4.  Modeling of performance and ANS activity for predicting future responses to training.

Authors:  Sébastien Chalencon; Vincent Pichot; Frédéric Roche; Jean-René Lacour; Martin Garet; Philippe Connes; Jean Claude Barthélémy; Thierry Busso
Journal:  Eur J Appl Physiol       Date:  2014-10-31       Impact factor: 3.078

5.  High-intensity interval training improves VO(2peak), maximal lactate accumulation, time trial and competition performance in 9-11-year-old swimmers.

Authors:  Billy Sperlich; Christoph Zinner; Ilka Heilemann; Per-Ludvik Kjendlie; Hans-Christer Holmberg; Joachim Mester
Journal:  Eur J Appl Physiol       Date:  2010-08-04       Impact factor: 3.078

Review 6.  Detraining: loss of training-induced physiological and performance adaptations. Part I: short term insufficient training stimulus.

Authors:  I Mujika; S Padilla
Journal:  Sports Med       Date:  2000-08       Impact factor: 11.136

Review 7.  Physiological changes associated with the pre-event taper in athletes.

Authors:  Iñigo Mujika; Sabino Padilla; David Pyne; Thierry Busso
Journal:  Sports Med       Date:  2004       Impact factor: 11.136

8.  Examining self-training procedures in leisure swimming.

Authors:  Francois J Potdevin; Clement Normani; Patrick Pelayo
Journal:  J Sports Sci Med       Date:  2013-12-01       Impact factor: 2.988

9.  Sex-related differences and age of peak performance in breaststroke versus freestyle swimming.

Authors:  Mathias Wolfrum; Beat Knechtle; Christoph Alexander Rüst; Thomas Rosemann; Romuald Lepers
Journal:  BMC Sports Sci Med Rehabil       Date:  2013-12-19

10.  A model for the training effects in swimming demonstrates a strong relationship between parasympathetic activity, performance and index of fatigue.

Authors:  Sébastien Chalencon; Thierry Busso; Jean-René Lacour; Martin Garet; Vincent Pichot; Philippe Connes; Charles Philip Gabel; Frédéric Roche; Jean Claude Barthélémy
Journal:  PLoS One       Date:  2012-12-20       Impact factor: 3.240

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