Literature DB >> 26637525

Pre-training perceived wellness impacts training output in Australian football players.

Tania F Gallo1,2, Stuart J Cormack1, Tim J Gabbett3, Christian H Lorenzen1.   

Abstract

The impact of perceived wellness on a range of external load parameters, rating of perceived exertion (RPE) and external load:RPE ratios, was explored during skill-based training in Australian footballers. Fifteen training sessions involving 36 participants were analysed. Each morning before any physical training, players completed a customised perceived wellness questionnaire (sleep quality, fatigue, stress, mood and muscle soreness). Microtechnology devices provided external load (average speed, high-speed running distance, player load and player load slow). Players provided RPE using the modified Borg category-ratio 10 RPE scale. Mixed-effect linear models revealed significant effects of wellness Z-score on player load and player load slow. Effects are reported with 95% confidence limits. A wellness Z-score of -1 corresponded to a -4.9 ± 3.1 and -8.6 ± 3.9% reduction in player load and player load slow, respectively, compared to those without reduced wellness. Small significant effects were also seen in the average speed:RPE and player load slow:RPE models. A wellness Z-score of -1 corresponded to a 0.43 ± 0.38 m·min(-1) and -0.02 ± 0.01 au·min(-1) change in the average speed:RPE and player load slow:RPE ratios, respectively. Magnitude-based analysis revealed that the practical size of the effect of a pre-training perceived wellness Z-score of -1 would have on player load slow was likely negative. The results of this study suggests that monitoring pre-training perceived wellness may provide coaches with information about the intensity of output that can be expected from individual players during a training session.

Entities:  

Keywords:  Athlete monitoring; external training load; team sport

Mesh:

Year:  2015        PMID: 26637525     DOI: 10.1080/02640414.2015.1119295

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  13 in total

1.  Single-Item Self-Report Measures of Team-Sport Athlete Wellbeing and Their Relationship With Training Load: A Systematic Review.

Authors:  Ciara Duignan; Cailbhe Doherty; Brian Caulfield; Catherine Blake
Journal:  J Athl Train       Date:  2020-09-01       Impact factor: 2.860

2.  Applied Sport Science of Australian Football: A Systematic Review.

Authors:  Rich D Johnston; Georgia M Black; Peter W Harrison; Nick B Murray; Damien J Austin
Journal:  Sports Med       Date:  2018-07       Impact factor: 11.136

Review 3.  The Relationships Between Internal and External Measures of Training Load and Intensity in Team Sports: A Meta-Analysis.

Authors:  Shaun J McLaren; Tom W Macpherson; Aaron J Coutts; Christopher Hurst; Iain R Spears; Matthew Weston
Journal:  Sports Med       Date:  2018-03       Impact factor: 11.136

4.  Heat acclimation attenuates the increased sensations of fatigue reported during acute exercise-heat stress.

Authors:  Ashley G B Willmott; Mark Hayes; Carl A James; Oliver R Gibson; Neil S Maxwell
Journal:  Temperature (Austin)       Date:  2019-09-19

5.  Effects of Chronological Age, Relative Age, and Maturation Status on Accumulated Training Load and Perceived Exertion in Young Sub-Elite Football Players.

Authors:  José Eduardo Teixeira; Ana Ruivo Alves; Ricardo Ferraz; Pedro Forte; Miguel Leal; Joana Ribeiro; António J Silva; Tiago M Barbosa; António M Monteiro
Journal:  Front Physiol       Date:  2022-03-31       Impact factor: 4.755

6.  Endurance Training Intensity Does Not Mediate Interference to Maximal Lower-Body Strength Gain during Short-Term Concurrent Training.

Authors:  Jackson J Fyfe; Jonathan D Bartlett; Erik D Hanson; Nigel K Stepto; David J Bishop
Journal:  Front Physiol       Date:  2016-11-03       Impact factor: 4.566

Review 7.  Monitoring and Managing Fatigue in Basketball.

Authors:  Toby Edwards; Tania Spiteri; Benjamin Piggott; Joshua Bonhotal; G Gregory Haff; Christopher Joyce
Journal:  Sports (Basel)       Date:  2018-02-27

8.  A Standardized Small Sided Game Can Be Used to Monitor Neuromuscular Fatigue in Professional A-League Football Players.

Authors:  Amber E Rowell; Robert J Aughey; Jo Clubb; Stuart J Cormack
Journal:  Front Physiol       Date:  2018-08-07       Impact factor: 4.566

9.  Which parameters to use for sleep quality monitoring in team sport athletes? A systematic review and meta-analysis.

Authors:  João Gustavo Claudino; Tim J Gabbet; Helton de Sá Souza; Mário Simim; Peter Fowler; Diego de Alcantara Borba; Marco Melo; Altamiro Bottino; Irineu Loturco; Vânia D'Almeida; Alberto Carlos Amadio; Julio Cerca Serrão; George P Nassis
Journal:  BMJ Open Sport Exerc Med       Date:  2019-01-13

10.  Training sessions with tackles impair upper-limb neuromuscular function in elite rugby union.

Authors:  Paolo Riccardo Brustio; Gennaro Boccia; Alexandru Nicolae Ungureanu; Corrado Lupo
Journal:  Biol Sport       Date:  2020-07-24       Impact factor: 2.806

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