Literature DB >> 20093964

Correlation between rating of perceived exertion and physiological variables during the execution of stationary running in water at different cadences.

Cristine Lima Alberton1, Amanda Haberland Antunes, Stephanie Santana Pinto, Marcus Peikriszwili Tartaruga, Eduardo Marczwski Silva, Eduardo Lusa Cadore, Luiz Fernado Martins Kruel.   

Abstract

The purpose of the present study was to correlate the rating of perceived exertion (RPE) with cardiorespiratory and neuromuscular variables during the execution of stationary running in water at different cadences. The sample consisted of 12 apparently healthy women (age: 22.33 ± 0.57 years). During the assessment session, the subjects performed the stationary running exercise in water at 3 different cadences: 60, 80, and 100 bpm. The heart rate (HR), oxygen uptake (V(O2)), ventilation (Ve), and electromyographic (EMG) signal of the vastus lateralis (VL), biceps femoris (BF), rectus femoris (RF), and semitendinosus (ST) muscles were measured during the exercise, and the overall body RPE was measured immediately following the end. Pearson's linear correlation and multiple linear regression were used, with p < 0.05. The analyses demonstrate a high and significant relationship between RPE and HR (r = 0.65; p < 0.001), RPE and %HR maximal (r = 0.65; p < 0.001), RPE and V(O2) (r = 0.60; p = 0.001), RPE and %V(O2) maximal (r = 0.71; p < 0.001), and RPE and Ve (r = 0.77; p < 0.001). However, there was no relationship between the RPE and the EMGs of the VL, BF, RF, and ST muscles. With regard to the regression, the model was significant (p < 0.001) with an r2 = 0.79, whereas the variables that explained better the RPE were %V(O2) maximal and Ve. Hence, these results suggest an association between the perception of exertion and cardiorespiratory variables, which was not the case with the neuromuscular variables evaluated in this study. Therefore, the Borg scale of RPE can be used when prescribing stationary running exercise in water for young women.

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Year:  2011        PMID: 20093964     DOI: 10.1519/JSC.0b013e3181bde2b5

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


  6 in total

1.  Different methods for monitoring intensity during water-based aerobic exercises.

Authors:  C Raffaelli; C Galvani; M Lanza; Paola Zamparo
Journal:  Eur J Appl Physiol       Date:  2011-04-19       Impact factor: 3.078

2.  Concurrent and Construct Validation of a Scale for Rating Perceived Exertion in Aquatic Cycling for Young Men.

Authors:  Juan C Colado; Roxana M Brasil
Journal:  J Sports Sci Med       Date:  2019-11-19       Impact factor: 2.988

3.  Relationship between Oxygen Uptake, Heart Rate, and Perceived Effort in an Aquatic Incremental Test in Older Women.

Authors:  Luana Siqueira Andrade; Ana Carolina Kanitz; Mariana Silva Häfele; Gustavo Zaccaria Schaun; Stephanie Santana Pinto; Cristine Lima Alberton
Journal:  Int J Environ Res Public Health       Date:  2020-11-11       Impact factor: 3.390

4.  Comparison of physiological and perceptual responses between continuous and intermittent cycling.

Authors:  Roxana M Brasil; Ana C Barreto; Leandro Nogueira; Edil Santos; Jefferson S Novaes; Victor M Reis
Journal:  J Hum Kinet       Date:  2011-10-04       Impact factor: 2.193

5.  Aerobic capacity reference data in 3816 healthy men and women 20-90 years.

Authors:  Henrik Loe; Øivind Rognmo; Bengt Saltin; Ulrik Wisløff
Journal:  PLoS One       Date:  2013-05-15       Impact factor: 3.240

6.  Rating of Perceived Exertion and Physiological Responses in Water-Based Exercise.

Authors:  Stephanie Santana Pinto; Cristine Lima Alberton; Paula Zaffari; Eduardo Lusa Cadore; Ana Carolina Kanitz; Giane Veiga Liedtke; Marcus Peikriszwili Tartaruga; Luiz Fernando Martins Kruel
Journal:  J Hum Kinet       Date:  2015-12-30       Impact factor: 2.193

  6 in total

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