Literature DB >> 1784872

Quantification of training in competitive sports. Methods and applications.

W G Hopkins1.   

Abstract

The training of competitive athletes can be assessed by retrospective questionnaires, diaries, physiological monitoring and direct observation of training behaviour. Questionnaires represent the most economical, most comprehensive and least accurate method. Diaries are more valid, but their drawbacks for long term quantitative studies are poor compliance and difficulties in processing the data they generate. Physiological monitoring (of oxygen consumption, heart rate or blood lactate concentration) provides objective measures of training intensity, and direct observation gives valid measures of most aspects of training; however, these methods are impractical for continuous, long term use. Coaches and athletes quantify training for purposes of motivation, systematisation of training and training prescription, but there has been little study of the use of training quantification by these practitioners. Motivation and systematisation are probably achieved best with diaries. Direct observation appears to be the best method of ensuring compliance with a training prescription, although heart rate monitoring is also a promising method for prescribing endurance training intensity. Sport scientists quantify training to study its effects on the performance and health status of competitive athletes. Most studies have been descriptive rather than experimental, and unvalidated questionnaires have been the predominant method of assaying training. The main areas of research include performance prediction and enhancement, overtraining, reproductive dysfunction, injury, illness, and nutritional status. Training has substantial effects in all of these areas. There is a need for more experimental studies that utilise validated measures of training to investigate how to reduce sports injuries and enhance competitive sports performance. More attention could also be given to methodological issues of training quantification.

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Year:  1991        PMID: 1784872     DOI: 10.2165/00007256-199112030-00003

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


  141 in total

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Journal:  Med Sci Sports Exerc       Date:  1988-08       Impact factor: 5.411

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Journal:  Sports Med       Date:  1989-02       Impact factor: 11.136

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Journal:  Sports Med       Date:  1989-01       Impact factor: 11.136

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  12 in total

Review 1.  Characteristics of track cycling.

Authors:  N P Craig; K I Norton
Journal:  Sports Med       Date:  2001       Impact factor: 11.136

Review 2.  Match analysis and the physiological demands of Australian football.

Authors:  Adrian J Gray; David G Jenkins
Journal:  Sports Med       Date:  2010-04-01       Impact factor: 11.136

Review 3.  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

4.  The use of heart rate to monitor the intensity of endurance training.

Authors:  M B Gilman
Journal:  Sports Med       Date:  1996-02       Impact factor: 11.136

Review 5.  High Intensity Interval Training: A Potential Method for Treating Sarcopenia.

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6.  Psychometric properties of the Zephyr bioharness device: a systematic review.

Authors:  Goris Nazari; Pavlos Bobos; Joy C MacDermid; Kathryn E Sinden; Julie Richardson; Ada Tang
Journal:  BMC Sports Sci Med Rehabil       Date:  2018-02-21

Review 7.  Monitoring training load to understand fatigue in athletes.

Authors:  Shona L Halson
Journal:  Sports Med       Date:  2014-11       Impact factor: 11.136

Review 8.  CrossFit Overview: Systematic Review and Meta-analysis.

Authors:  João Gustavo Claudino; Tim J Gabbett; Frank Bourgeois; Helton de Sá Souza; Rafael Chagas Miranda; Bruno Mezêncio; Rafael Soncin; Carlos Alberto Cardoso Filho; Martim Bottaro; Arnaldo Jose Hernandez; Alberto Carlos Amadio; Julio Cerca Serrão
Journal:  Sports Med Open       Date:  2018-02-26

9.  Robust Exponential Decreasing Index (REDI): adaptive and robust method for computing cumulated workload.

Authors:  Issa Moussa; Arthur Leroy; Guillaume Sauliere; Julien Schipman; Jean-François Toussaint; Adrien Sedeaud
Journal:  BMJ Open Sport Exerc Med       Date:  2019-10-30

10.  Intensity of resistance training via self-reported history is critical in properly characterizing musculoskeletal health.

Authors:  Todd C Shoepe; Joseph W LaBrie; Grant T Mello; Allison G Leggett; Hawley C Almstedt
Journal:  BMC Musculoskelet Disord       Date:  2020-11-10       Impact factor: 2.362

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