Literature DB >> 19468747

A mathematical model for quantifying training.

Philip R Hayes1, Mike D Quinn.   

Abstract

A systems modelling approach has been used to quantify the dose-response nature of training. Considerable attention has been focused on the modelling process with little work on the determination of the training impulse (TRIMP) scores. Currently, the methods employed to calculate TRIMPs are subject to various limitations including the use of generic ordinal category or exponential weighting factors for higher exercise intensities. These weightings are necessary to prevent excessively high scores from long duration, low intensity bouts of exercise. We propose a new method to calculate TRIMP scores based upon a whole body bioenergetic model. Our method is individual specific, removing many of the previous limitations. Furthermore, this model could enable a greater comparison of continuous and interval training methods. This model takes into account the length of repetition(s), concentration of the interval session and mode of recovery. This approach, while requiring further research, offers a potential improvement in the accuracy of training load calculations.

Mesh:

Year:  2009        PMID: 19468747     DOI: 10.1007/s00421-009-1084-8

Source DB:  PubMed          Journal:  Eur J Appl Physiol        ISSN: 1439-6319            Impact factor:   3.078


  37 in total

1.  Endurance training enhances critical power.

Authors:  D G Jenkins; B M Quigley
Journal:  Med Sci Sports Exerc       Date:  1992-11       Impact factor: 5.411

2.  The effects of training on heart rate; a longitudinal study.

Authors:  M J KARVONEN; E KENTALA; O MUSTALA
Journal:  Ann Med Exp Biol Fenn       Date:  1957

Review 3.  The critical power and related whole-body bioenergetic models.

Authors:  R Hugh Morton
Journal:  Eur J Appl Physiol       Date:  2005-11-12       Impact factor: 3.078

4.  Optimizing athletic performance by influence curves.

Authors:  J R Fitz-Clarke; R H Morton; E W Banister
Journal:  J Appl Physiol (1985)       Date:  1991-09

5.  Training adaptation and biological changes among well-trained male triathletes.

Authors:  D G Rowbottom; D Keast; P Garcia-Webb; A R Morton
Journal:  Med Sci Sports Exerc       Date:  1997-09       Impact factor: 5.411

Review 6.  Overtraining in elite athletes. Review and directions for the future.

Authors:  H Kuipers; H A Keizer
Journal:  Sports Med       Date:  1988-08       Impact factor: 11.136

7.  The quantification of endurance training programs.

Authors:  M L Pollock
Journal:  Exerc Sport Sci Rev       Date:  1973       Impact factor: 6.230

Review 8.  The critical power concept. A review.

Authors:  D W Hill
Journal:  Sports Med       Date:  1993-10       Impact factor: 11.136

9.  Modeling human performance in running.

Authors:  R H Morton; J R Fitz-Clarke; E W Banister
Journal:  J Appl Physiol (1985)       Date:  1990-09

10.  Applying a mathematical model to training adaptation in a distance runner.

Authors:  Rachel Elise Wood; Scott Hayter; David Rowbottom; Ian Stewart
Journal:  Eur J Appl Physiol       Date:  2005-03-12       Impact factor: 3.078

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  3 in total

1.  Can Popular High-Intensity Interval Training (HIIT) Models Lead to Impossible Training Sessions?

Authors:  Jérémy Briand; Jonathan Tremblay; Guy Thibault
Journal:  Sports (Basel)       Date:  2022-01-06

2.  A Fitness-Fatigue Model of Performance in Peripheral Artery Disease: Predicted and Measured Effects of a Pain-Free Exercise Program.

Authors:  Nicola Lamberti; Giovanni Piva; Federico Businaro; Lorenzo Caruso; Anna Crepaldi; Pablo Jesùs Lòpez-Soto; Fabio Manfredini
Journal:  J Pers Med       Date:  2022-03-04

3.  The effect of fitness level on cardiac autonomic regulation, IL-6, total antioxidant capacity, and muscle damage responses to a single bout of high-intensity interval training.

Authors:  Lukas Cipryan
Journal:  J Sport Health Sci       Date:  2016-11-03       Impact factor: 7.179

  3 in total

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