Literature DB >> 30589724

Monitoring Training Load and Perceived Recovery in Female Basketball: Implications for Training Design.

Pierpaolo Sansone1, Harald Tschan2, Carl Foster3, Antonio Tessitore1.   

Abstract

Sansone, P, Tschan, H, Foster, C, and Tessitore, A. Monitoring training load and perceived recovery in female basketball: Implications for training design. J Strength Cond Res 34(10): 2929-2936, 2020-This study investigated the relationship between internal training load and perceived recovery of semi-professional female basketball players during the competitive season. Eleven female players were monitored for 14 weeks during the in-season phase. For each event (training and game), data were collected as follows: (a) Total Quality Recovery (TQR) score before the event (TQRpre); (b) session Rating of Perceived Exertion (sRPE) 20 minutes after completion of the event, to calculate training load (s-TL) of the event; and (c) TQR scores 12 (TQRpost12) and 24 hours (TQRpost24) after the event. Data were analyzed for daily, weekly, and mesocycle (regular season; regional play-off; and national play-off) time frames. Daily analysis showed that: TQRpost12 was lower than TQRpre (p < 0.001) and TQRpost24 (p < 0.001); s-TL had a moderate negative correlation with TQRpost12 (r = -0.48, p = 0.002); the difference between TQRpre and RPE (TS-Δ) had a very large positive correlation with TQRpost12 (r = 0.70, p < 0.001); and TQRpost24 was not significantly correlated with training parameters. Weekly analysis highlighted a very large negative correlation between the acute:chronic workload ratio and TQR collected at the start of the following week (TQRfw) (r = -0.86, p < 0.001). Finally, although weekly TL and TQRfw did not differ between mesocycles, their correlation increased in the later seasonal phases. This study demonstrated negative relationships between training load and recovery of semi-professional female basketball players at daily, weekly, and mesocycle levels. Therefore, concurrently monitoring training and recovery with the sRPE method and TQR scale is recommended for designing training schedules in basketball.

Mesh:

Year:  2020        PMID: 30589724     DOI: 10.1519/JSC.0000000000002971

Source DB:  PubMed          Journal:  J Strength Cond Res        ISSN: 1064-8011            Impact factor:   3.775


  7 in total

1.  Internal and External Load Control in Team Sports through a Multivariable Model.

Authors:  Aitor Piedra; Toni Caparrós; Jordi Vicens-Bordas; Javier Peña
Journal:  J Sports Sci Med       Date:  2021-10-01       Impact factor: 2.988

2.  Body Fat of Basketball Players: A Systematic Review and Meta-Analysis.

Authors:  Pierpaolo Sansone; Bojan Makivic; Robert Csapo; Patria Hume; Alejandro Martínez-Rodríguez; Pascal Bauer
Journal:  Sports Med Open       Date:  2022-02-22

3.  External and Internal Load Variables Encountered During Training and Games in Female Basketball Players According to Playing Level and Playing Position: A Systematic Review.

Authors:  Cody J Power; Jordan L Fox; Vincent J Dalbo; Aaron T Scanlan
Journal:  Sports Med Open       Date:  2022-08-19

4.  The influence of maturity on recovery and perceived exertion, and its relationship with illnesses and non-contact injuries in young soccer players.

Authors:  Mauro Mandorino; Antonio J Figueiredo; Giancarlo Condello; Antonio Tessitore
Journal:  Biol Sport       Date:  2021-10-25       Impact factor: 4.606

5.  Training load, recovery and game performance in semiprofessional male basketball: influence of individual characteristics and contextual factors.

Authors:  Pierpaolo Sansone; Lorenzo Gasperi; Antonio Tessitore; Miguel Angel Gomez
Journal:  Biol Sport       Date:  2020-09-02       Impact factor: 2.806

6.  Technical-tactical profile, perceived exertion, mental demands and enjoyment of different tactical tasks and training regimes in basketball small-sided games.

Authors:  Pierpaolo Sansone; Antonio Tessitore; Inga Lukonaitiene; Henrikas Paulauskas; Harald Tschan; Daniele Conte
Journal:  Biol Sport       Date:  2019-11-19       Impact factor: 2.806

7.  Predictive Analytic Techniques to Identify Hidden Relationships between Training Load, Fatigue and Muscle Strains in Young Soccer Players.

Authors:  Mauro Mandorino; António J Figueiredo; Gianluca Cima; Antonio Tessitore
Journal:  Sports (Basel)       Date:  2021-12-24
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.