Literature DB >> 19691366

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

Jill Borresen1, Michael Ian Lambert.   

Abstract

Historically, the ability of coaches to prescribe training to achieve optimal athletic performance can be attributed to many years of personal experience. A more modern approach is to adopt scientific methods in the development of optimal training programmes. However, there is not much research in this area, particularly into the quantification of training programmes and their effects on physiological adaptation and subsequent performance. Several methods have been used to quantify training load, including questionnaires, diaries, physiological monitoring and direct observation. More recently, indices of training stress have been proposed, including the training impulse, which uses heart rate measurements and training load, and session rating of perceived exertion measurements, which utilizes subjective perception of effort scores and duration of exercise. Although physiological adaptations to training are well documented, their influence on performance has not been accurately quantified. To date, no single physiological marker has been identified that can measure the fitness and fatigue responses to exercise or accurately predict performance. Models attempting to quantify the relationship between training and performance have been proposed, many of which consider the athlete as a system in which the training load is the input and performance the system output. Although attractive in concept, the accuracy of these theoretical models has proven poor. A possible reason may be the absence of a measure of individuality in each athlete's response to training. Thus, in the future more attention should be directed towards measurements that reflect individual capacity to respond or adapt to exercise training rather than an absolute measure of changes in physiological variables that occur with training.

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Year:  2009        PMID: 19691366     DOI: 10.2165/11317780-000000000-00000

Source DB:  PubMed          Journal:  Sports Med        ISSN: 0112-1642            Impact factor:   11.136


  95 in total

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Journal:  Sports Med       Date:  2000-06       Impact factor: 11.136

2.  The reliability and validity of regulating exercise intensity by ratings of perceived exertion in step dance sessions.

Authors:  Ali Ozkan; Ayse Kin-Isler
Journal:  J Strength Cond Res       Date:  2007-02       Impact factor: 3.775

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4.  Using Session RPE to Monitor Different Methods of Resistance Exercise.

Authors:  Alison D Egan; Jason B Winchester; Carl Foster; Michael R McGuigan
Journal:  J Sports Sci Med       Date:  2006-06-01       Impact factor: 2.988

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Journal:  Med Sci Sports Exerc       Date:  1987-02       Impact factor: 5.411

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Journal:  Med Sci Sports Exerc       Date:  2001-01       Impact factor: 5.411

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Journal:  J Appl Physiol (1985)       Date:  2003-09-26

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Authors:  H Stegmann; W Kindermann; A Schnabel
Journal:  Int J Sports Med       Date:  1981-08       Impact factor: 3.118

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  100 in total

Review 1.  Monitoring Athletic Training Status Through Autonomic Heart Rate Regulation: A Systematic Review and Meta-Analysis.

Authors:  Clint R Bellenger; Joel T Fuller; Rebecca L Thomson; Kade Davison; Eileen Y Robertson; Jonathan D Buckley
Journal:  Sports Med       Date:  2016-10       Impact factor: 11.136

2.  Seasonal strength performance and its relationship with training load on elite runners.

Authors:  Carlos Balsalobre-Fernández; Carlos M Tejero-González; Juan Del Campo-Vecino
Journal:  J Sports Sci Med       Date:  2015-03-01       Impact factor: 2.988

3.  Negative Associations between Perceived Training Load, Volume and Changes in Physical Fitness in Professional Soccer Players.

Authors:  Asier Los Arcos; Raul Martínez-Santos; Javier Yanci; Jurdan Mendiguchia; Alberto Méndez-Villanueva
Journal:  J Sports Sci Med       Date:  2015-05-08       Impact factor: 2.988

4.  The construct validity of session RPE during an intensive camp in young male Karate athletes.

Authors:  Johnny Padulo; Helmi Chaabène; Montassar Tabben; Monoem Haddad; Cecilia Gevat; Stefano Vando; Lucio Maurino; Anis Chaouachi; Karim Chamari
Journal:  Muscles Ligaments Tendons J       Date:  2014-07-14

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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

Review 6.  Risk Factors for Injuries During Military Static-Line Airborne Operations: A Systematic Review and Meta-Analysis.

Authors:  Joseph Knapik; Ryan Steelman
Journal:  J Athl Train       Date:  2016-11       Impact factor: 2.860

7.  Training Load Monitoring in Team Sports: A Novel Framework Separating Physiological and Biomechanical Load-Adaptation Pathways.

Authors:  Jos Vanrenterghem; Niels Jensby Nedergaard; Mark A Robinson; Barry Drust
Journal:  Sports Med       Date:  2017-11       Impact factor: 11.136

8.  From Lab to Real World: Heat Acclimation Considerations for Elite Athletes.

Authors:  Julia R Casadio; Andrew E Kilding; James D Cotter; Paul B Laursen
Journal:  Sports Med       Date:  2017-08       Impact factor: 11.136

9.  Sensitivity of physiological and psychological markers to training load intensification in volleyball players.

Authors:  Victor H Freitas; Fabio Y Nakamura; Bernardo Miloski; Dietmar Samulski; Mauricio G Bara-Filho
Journal:  J Sports Sci Med       Date:  2014-09-01       Impact factor: 2.988

10.  Predicting changes in high-intensity intermittent running performance with acute responses to short jump rope workouts in children.

Authors:  Martin Buchheit; Alireza Rabbani; Hamid Taghi Beigi
Journal:  J Sports Sci Med       Date:  2014-09-01       Impact factor: 2.988

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