Literature DB >> 2289497

A systems model of training responses and its relationship to hormonal responses in elite weight-lifters.

T Busso1, K Häkkinen, A Pakarinen, C Carasso, J R Lacour, P V Komi, H Kauhanen.   

Abstract

A systems model, providing an estimation of fatigue and fitness levels was applied to a 1-year training period of six elite weight-lifters. The model parameters were individually determined by fitting the predicted performance (calculated as the difference between fitness and fatigue) to the actual one. The purpose of this study was to validate the systems model by comparing the estimated levels of fatigue and fitness with biological parameters external to the model calculation. The predicted and the actual performances were significantly correlated in each subject. The calculated fitness and fatigue levels were related to serum testosterone concentration, testosterone: cortisol and testosterone: sex hormone binding globulin ratios. The best results were obtained by the comparison between fitness and testosterone levels, which varied in parallel in each subject. In two subjects this correlation was significant (r = 0.91, P less than 0.05, and r = 0.92, P less than 0.01). The fitness changes calculated in each subject between the 15th and the 51st weeks of training were significantly correlated with the changes in serum testosterone concentration measured in the same period (r = 0.99, P less than 0.001). For the whole group testosterone and fitness variations were also significantly intercorrelated (r = 0.73, P less than 0.001). Correlations, less homogeneous and less significant, were calculated also for other hormones and ratios. These results suggest that (1) the relationships between training and performance can be described by the systems model, (2) the estimated index of fitness has a physiological meaning. The fatigue index remains to be clarified.

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Year:  1990        PMID: 2289497     DOI: 10.1007/bf00236693

Source DB:  PubMed          Journal:  Eur J Appl Physiol Occup Physiol        ISSN: 0301-5548


  8 in total

1.  Relationships between training volume, physical performance capacity, and serum hormone concentrations during prolonged training in elite weight lifters.

Authors:  K Häkkinen; A Pakarinen; M Alén; H Kauhanen; P V Komi
Journal:  Int J Sports Med       Date:  1987-03       Impact factor: 3.118

2.  Daily hormonal and neuromuscular responses to intensive strength training in 1 week.

Authors:  K Häkkinen; A Pakarinen; M Alén; H Kauhanen; P V Komi
Journal:  Int J Sports Med       Date:  1988-12       Impact factor: 3.118

3.  Neuromuscular and hormonal adaptations in athletes to strength training in two years.

Authors:  K Häkkinen; A Pakarinen; M Alen; H Kauhanen; P V Komi
Journal:  J Appl Physiol (1985)       Date:  1988-12

4.  Variations in iron status with fatigue modelled from training in female distance runners.

Authors:  E W Banister; C L Hamilton
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1985

5.  Plasma cortisol, androstenedione, testosterone and luteinizing hormone in running exercise of different intensities.

Authors:  K Kuoppasalmi; H Näveri; M Härkönen; H Adlercreutz
Journal:  Scand J Clin Lab Invest       Date:  1980-09       Impact factor: 1.713

6.  The assessment of the amount of fat in the human body from measurements of skinfold thickness.

Authors:  J V Durnin; M M Rahaman
Journal:  Br J Nutr       Date:  1967-08       Impact factor: 3.718

7.  Responses of serum androgenic-anabolic and catabolic hormones to prolonged strength training.

Authors:  M Alén; A Pakarinen; K Häkkinen; P V Komi
Journal:  Int J Sports Med       Date:  1988-06       Impact factor: 3.118

8.  Serum hormones during prolonged training of neuromuscular performance.

Authors:  K Häkkinen; A Pakarinen; M Alén; P V Komi
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1985
  8 in total
  20 in total

Review 1.  Systems modelling of the relationship between training and performance.

Authors:  Tim Taha; Scott G Thomas
Journal:  Sports Med       Date:  2003       Impact factor: 11.136

2.  Effects of training on iron status in cross-country skiers.

Authors:  R Candau; T Busso; J R Lacour
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1992

3.  Assessing the limitations of the Banister model in monitoring training.

Authors:  Philippe Hellard; Marta Avalos; Lucien Lacoste; Frederic Barale; Jean-Claude Chatard; Gregoire P Millet
Journal:  J Sports Sci       Date:  2006-05       Impact factor: 3.337

Review 4.  Exercise-induced hormonal changes and their effects upon skeletal muscle tissue.

Authors:  M R Deschenes; W J Kraemer; C M Maresh; J F Crivello
Journal:  Sports Med       Date:  1991-08       Impact factor: 11.136

Review 5.  The quantification of training load, the training response and the effect on performance.

Authors:  Jill Borresen; Michael Ian Lambert
Journal:  Sports Med       Date:  2009       Impact factor: 11.136

6.  Hormonal adaptations and modelled responses in elite weightlifters during 6 weeks of training.

Authors:  T Busso; K Häkkinen; A Pakarinen; H Kauhanen; P V Komi; J R Lacour
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1992

Review 7.  Resistance exercise overtraining and overreaching. Neuroendocrine responses.

Authors:  A C Fry; W J Kraemer
Journal:  Sports Med       Date:  1997-02       Impact factor: 11.136

8.  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

9.  High versus low training frequency in cardiac rehabilitation using a systems model of training.

Authors:  S Le Bris; B Ledermann; N Topin; P Messner-Pellenc; D Le Gallais
Journal:  Eur J Appl Physiol       Date:  2005-09-26       Impact factor: 3.078

Review 10.  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

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