Long-Term Analyses of the Rate of Perceived Exertion as an Indicator of Intensity in Women’s Basketball during a Relegation Play-off

Knowledge of internal load is essential to understand the effect of training and competition on athletes. The aim of this study was to analyse the validity of the rate of perceived exertion (RPE) scale as an indicator of intensity in amateur female basketball players during a relegation play-off. Th...

Full description

Saved in:
Bibliographic Details
Published in:Biology (Basel, Switzerland) Switzerland), 2022-10, Vol.11 (11), p.1592
Main Authors: Batalla-Gavalda, Abraham, Beltran-Garrido, Jose Vicente, Garrosa-Martín, Gerson, Cecilia-Gallego, Pau, Montoliu-Colás, Raul, Corbi, Francisco
Format: Article
Language:English
Subjects:
amateur
Athletes
Basketball
Body fat
Competition
Exercise
Heart rate
Learning
Load
Perceptions
Physiology
rate of perceived exertion
relegation phase
Warm up (exercise)
women’s sport
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Knowledge of internal load is essential to understand the effect of training and competition on athletes. The aim of this study was to analyse the validity of the rate of perceived exertion (RPE) scale as an indicator of intensity in amateur female basketball players during a relegation play-off. The heart rate and RPE of 10 players (age: 21.30 ± 2.71 years, weight: 68.84 ± 11.21 kg, body fat: 20.74 ± 3.51%) from a Copa Catalunya team while competing over a 10-day period were analysed. The mean heart rate of each match was registered with the Suunto Team Pack™ heart rate monitors. The RPE values were obtained once the match ended, completing the original Borg scale. The mean RPE ranged from 15.20 ± 2.39 to 18.00 ± 1.07 AU, whereas the mean heart rate (MHR) ranged from 132.35 ± 12.37 to 147.33 ± 10.61 bpm. There was also an improvement in the statistical correlation between the two variables as the days progressed. Regression equations were calculated for the total number of registered matches and the last five matches, obtaining the following regression equations: MHR = 6.23 × RPE20 + 36.8 (R2 = 0.56) for all games and MHR = 30.95 + 6.73 × RPE (R2 = 0.73) for the last five games. The results suggest that RPE could be seen as an indicator of intensity in amateur basketball players during a relegation play-off, improving their relationship with MHR as the weeks went by, which could suggest a learning process.
ISSN:2079-7737
2079-7737
DOI:10.3390/biology11111592