Literature DB >> 24231360

Comparison of athlete-coach perceptions of internal and external load markers for elite junior tennis training.

Alistair P Murphy1, Rob Duffield, Aaron Kellett, Machar Reid.   

Abstract

PURPOSE: To investigate the discrepancy between coach and athlete perceptions of internal load and notational analysis of external load in elite junior tennis.
METHODS: Fourteen elite junior tennis players and 6 international coaches were recruited. Ratings of perceived exertion (RPEs) were recorded for individual drills and whole sessions, along with a rating of mental exertion, coach rating of intended session exertion, and athlete heart rate (HR). Furthermore, total stroke count and unforced-error count were notated using video coding after each session, alongside coach and athlete estimations of shots and errors made. Finally, regression analyses explained the variance in the criterion variables of athlete and coach RPE.
RESULTS: Repeated-measures analyses of variance and interclass correlation coefficients revealed that coaches significantly (P < .01) underestimated athlete session RPE, with only moderate correlation (r = .59) demonstrated between coach and athlete. However, athlete drill RPE (P = .14; r = .71) and mental exertion (P = .44; r = .68) were comparable and substantially correlated. No significant differences in estimated stroke count were evident between athlete and coach (P = .21), athlete notational analysis (P = .06), or coach notational analysis (P = .49). Coaches estimated significantly greater unforced errors than either athletes or notational analysis (P < .01). Regression analyses found that 54.5% of variance in coach RPE was explained by intended session exertion and coach drill RPE, while drill RPE and peak HR explained 45.3% of the variance in athlete session RPE.
CONCLUSION: Coaches misinterpreted session RPE but not drill RPE, while inaccurately monitoring error counts. Improved understanding of external- and internal-load monitoring may help coach-athlete relationships in individual sports like tennis avoid maladaptive training.

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Year:  2013        PMID: 24231360     DOI: 10.1123/ijspp2013-0364

Source DB:  PubMed          Journal:  Int J Sports Physiol Perform        ISSN: 1555-0265            Impact factor:   4.010


  7 in total

1.  How much is too much? (Part 2) International Olympic Committee consensus statement on load in sport and risk of illness.

Authors:  Martin Schwellnus; Torbjørn Soligard; Juan-Manuel Alonso; Roald Bahr; Ben Clarsen; H Paul Dijkstra; Tim J Gabbett; Michael Gleeson; Martin Hägglund; Mark R Hutchinson; Christa Janse Van Rensburg; Romain Meeusen; John W Orchard; Babette M Pluim; Martin Raftery; Richard Budgett; Lars Engebretsen
Journal:  Br J Sports Med       Date:  2016-09       Impact factor: 13.800

2.  Comparisons of Perceived Training Doses in Champion Collegiate-Level Male and Female Cross-country Runners and Coaches over the Course of a Competitive Season.

Authors:  Kyle R Barnes
Journal:  Sports Med Open       Date:  2017-10-17

3.  Discrepancies Exist between Exercise Prescription and Dose in Elite Women's Basketball Pre-Season.

Authors:  Craig Staunton; Daniel Wundersitz; Brett Gordon; Michael Kingsley
Journal:  Sports (Basel)       Date:  2020-05-19

4.  Factors Influencing the Association Between Coach and Athlete Rating of Exertion: a Systematic Review and Meta-analysis.

Authors:  Darren Paul; Paul Read; Abdulaziz Farooq; Luke Jones
Journal:  Sports Med Open       Date:  2021-01-05

5.  Internal Training Load Perceived by Athletes and Planned by Coaches: A Systematic Review and Meta-Analysis.

Authors:  Allan Inoue; Priscila Dos Santos Bunn; Everton Crivoi do Carmo; Eduardo Lattari; Elirez Bezerra da Silva
Journal:  Sports Med Open       Date:  2022-03-04

Review 6.  The development of fatigue during match-play tennis.

Authors:  Machar Reid; Rob Duffield
Journal:  Br J Sports Med       Date:  2014-04       Impact factor: 13.800

Review 7.  Session-RPE Method for Training Load Monitoring: Validity, Ecological Usefulness, and Influencing Factors.

Authors:  Monoem Haddad; Georgios Stylianides; Leo Djaoui; Alexandre Dellal; Karim Chamari
Journal:  Front Neurosci       Date:  2017-11-02       Impact factor: 4.677

  7 in total

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