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Jose A. Rodríguez-Marroyo and Carlos Antoñan


The purpose of this study was to examine the concurrent and construct validity of the Borg (0–10) and children’s OMNI scales for quantifying the exercise intensity and training load (TL) in youth soccer players.


Twelve children (mean ± SD age 11.4 ± 0.5 y, height 154.3 ± 6.5 cm, body mass 39.5 ± 5.4 kg) took part in this study. Exercise intensity and TL were calculated on the basis of the session rating of perceived exertion (sRPE) and heart rate (HR; Edwards method) during 20 technical-tactical training sessions. Players’ sRPEs were obtained from the Borg and OMNI scales.


Low correlations between HR-based TL and sRPE TL based on the Borg (r = .17, P = .335) and OMNI (r = .34, P = .007) scales were obtained. Significant (P < .001) relationships in sRPE (r = .76) and TL (r = .79) between RPE scales were found.


The current data do not support the relationship between the sRPE and HR methods for quantifying TL in youth soccer players. However, the sRPE method could be considered a better indicator of global internal TL, since sRPE is a measure of both physical and psychological stress. In addition, the authors demonstrated the construct validity for the OMNI scale to control exercise demands.

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Nicolas Fabre, Laurent Mourot, Livio Zerbini, Barbara Pellegrini, Lorenzo Bortolan and Federico Schena

This study tested the hypothesis that the DMAX (for maximal distance) method could be applied to ratings of perceived exertion (RPE), to propose a novel method for individual detection of the lactate threshold (LT) using RPE alone during an incremental test to exhaustion. Twenty-one participants performed an incremental test on a cycle ergometer. At the end of each stage, lactate concentration was measured and the participants estimated RPE using the Borg CR100 scale. The intensity corresponding to the fixed lactate values of 2 or 4 mmol · L−1(2mM and 4mM), the ventilatory threshold (VT), the respiratory-compensation point (RCP), and the instant of equality of pulmonary gas exchange (RER=1.00) were determined. Lactate (DMAX La) and RPE (DMAX RPE) thresholds were determined using the DMAX method. Oxygen uptake (VO2), heart rate, and power output measured at DMAX RPE and at DMAX La were not statistically different. Bland-Altman plots showed small bias and good agreements when DMAX RPE was compared with the DMAX La and RER=1.00 methods (bias = −0.05% and −2% of VO2max, respectively). Conversely, VO2 from the DMAX RPE method was lower than VO2 at 4 mM and at RCP and was higher than VO2 at 2 mM and at VT. VO2 at DMAX RPE was strongly correlated with VO2 at DMAX La (r = .97), at RER=1.00 (r = .97), at 2 mM (r = .85), at 4 mM (r = .93), at VT (r = .95), and at RCP (r = .95). The combination of the DMAX method with the RPE responses permitted precise and individualized estimates of LT using the DMAX method.

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Mohamed Saifeddin Fessi and Wassim Moalla

rating of perceived exertion (RPE) is a common simple, valid, reliable, and low-cost method that represents the athlete’s own perception of training stress and gives a complete indication of the global workload because it is indicative of both physiological and psychological load. 8 , 14 Accordingly

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Luis Peñailillo, Karen Mackay and Chris R. Abbiss

Rating of perceived exertion (RPE) is one of the most utilized measurements in exercise and sports science settings. Exercise-induced increases in psychophysiological stress are extremely important in many aspects of exercise capacity and performance including the development and perceptions of

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Stacey M. Kung, Philip W. Fink, Stephen J. Legg, Ajmol Ali and Sarah P. Shultz

Perceived exertion has been proposed to help regulate exercise performance through a feedforward and feedback system called teleoanticipation ( 13 , 32 ). In order to achieve this goal of regulating exercise intensity, individuals would need to anticipate the physiological and mechanical responses

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Blaine E. Arney, Reese Glover, Andrea Fusco, Cristina Cortis, Jos J. de Koning, Teun van Erp, Salvador Jaime, Richard P. Mikat, John P. Porcari and Carl Foster

to quantify internal TL using a modification of the rating of perceived exertion (RPE) method developed by Borg. 6 This method is known as the session RPE (sRPE). The sRPE is derived by multiplying the overall RPE obtained at the end of a training session, using the Borg category-ratio 10 scale

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Ric Lovell, Sam Halley, Jason Siegler, Tony Wignell, Aaron J. Coutts and Tim Massard

Ratings of perceived exertion (RPEs) represent an individual’s psychobiological response to an activity stimulus. These subjective evaluations of exertion are integrated from signals originating in working muscles and joints, cardiorespiratory, and central nervous systems. 1 In applied sports

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Wouter Schallig, Tim Veneman, Dionne A. Noordhof, José A. Rodríguez-Marroyo, John P. Porcari, Jos J. de Koning and Carl Foster

have no effect on the initial exercise intensity. 14 , 15 The intended exercise intensity is controlled and adapted during the exercise bout by feedback. 8 , 16 , 17 Perceived exertion can be considered a conscious measure of all feedback mechanisms together. The anticipatory model states that from

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David Parry, Camilla Chinnasamy and Dominic Micklewright

Optic flow on the retina creates a perception of a person’s movement relative to their surroundings. This study investigated the effect of optic flow on perceived exertion during cycling. Fifteen participants completed a 20-km reference cycling time trail in the fastest possible time followed by three randomly counterbalanced 20-km cycling trials. Optic flow, via projected video footage of a cycling course, either represented actual speed (TTNORM) or was varied by −15% (TTSLOW) and +15% (TTFAST). During TTSLOW, power output and ratings of perceived exertion (RPE), measured every 4 km, were lower during TTSLOW compared with TTNORM and TTFAST. There were no differences in heart rate or cadence. This study is the first to show that different rates of optic flow influence perceived exertion during cycling, with slower optic flow being associated with lower RPE and higher power output.

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Lilian Roos, Wolfgang Taube, Carolin Tuch, Klaus Michael Frei and Thomas Wyss

, duration, frequency, and activity type, to assess external TL and other parameters, such as heart rate (HR), blood lactate, oxygen consumption, well-being, motivation, pain, and rating of perceived exertion (RPE), to describe the internal TL. 1 , 2 To assess the overall TL and compare it among various