scholarly journals Peer Presence Increases Session Ratings of Perceived Exertion

2021 ◽  
pp. 1-5
Author(s):  
Geoffrey M. Minett ◽  
Valentin Fels-Camilleri ◽  
Joshua J. Bon ◽  
Franco M. Impellizzeri ◽  
David N. Borg
Keyword(s):  
Heart Rate ◽  
Power Output ◽  
Peak Power ◽  
Perceived Exertion ◽  
Credible Interval ◽  
Training Group ◽  
Peak Oxygen Uptake ◽  
Rating Of Perceived Exertion ◽  
Peak Power Output ◽  
Group Setting

Purpose: This study aimed to examine the effect of peer presence on session rating of perceived exertion (RPE) responses. Method: Fourteen males, with mean (SD) age 22.4 (3.9) years, peak oxygen uptake 48.0 (6.6) mL·kg−1·min−1, and peak power output 330 (44) W, completed an incremental cycling test and 3 identical experimental sessions, in groups of 4 or 5. Experimental sessions involved 24 minutes of cycling, whereby the work rate alternated between 40% and 70% peak power output every 3 minutes. During cycling, heart rate was collected every 3 minutes, and session-RPE was recorded 10 minutes after cycling, in 3 communication contexts: in written form unaccompanied (intrapersonal communication), verbally by the researcher only (interpersonal communication), and in the presence of the training group. Session-RPE was analyzed using ordinal regression and heart rate using a linear mixed-effects model, with models fit in a Bayesian framework. Results: Session-RPE was voted higher when collected in the group’s presence compared with when written (odds ratio = 4.26, 95% credible interval = 1.27–14.73). On average, the posterior probability that session-RPE was higher in the group setting than when written was .53. Session-RPE was not different between the group and verbal, or verbal and written collection contexts. Conclusions: This study suggests that contextual psychosocial inputs influence session-RPE and highlights the importance of session-RPE users controlling the measurement environment when collecting votes.

scholarly journals Peer presence increases session ratings of perceived exertion

2021 ◽  
Author(s):  
Geoffrey M Minett ◽  
Valentin Fels-Camilleri ◽  
Joshua J Bon ◽  
Franco Milko Impellizzeri ◽  
David N Borg
Keyword(s):  
Heart Rate ◽  
Power Output ◽  
Peak Power ◽  
Perceived Exertion ◽  
Design Method ◽  
Credible Interval ◽  
Training Group ◽  
Rating Of Perceived Exertion ◽  
Peak Power Output ◽  
Group Setting

Objectives: This study aimed to examine the effect of peer presence on the session rating of perceived exertion (RPE) responses. Design: Within-participant design. Method: Fourteen males, with mean (standard deviation) age 22.4 (3.9) years, peak oxygen uptake 48.0 (6.6) mL·kg-1·min-1 and peak power output 330 (44) W, completed an incremental cycling test and three identical experimental sessions, in groups of four or five. Experimental sessions involved 24 min of cycling, whereby the work rate alternated between 40% and 70% peak power output every 3 min. During cycling, heart rate was collected every 3 min, and session-RPE was recorded 10 min after cycling, in three communication contexts: in written form unaccompanied (intrapersonal communication); verbally by the researcher only (interpersonal communication); and in the presence of the training group. Session-RPE was analysed using ordinal regression and heart rate using a linear mixed-effects model, with models fit in a Bayesian framework. Results: Session-RPE was voted higher when collected in the group's presence compared to when written (odds ratio = 5.3, 95% credible interval = 1.6 to 17.6). On average, the posterior probability that session-RPE was higher in the group setting than when written was 0.57. Session-RPE was not different between the group and verbal, or verbal and written collection contexts. Conclusions: This study suggests contextual psychosocial inputs influence session-RPE, and highlights the importance of session-RPE users controlling the measurement environment when collecting votes.

scholarly journals Warming Up Before a 20-Minute Endurance Effort: Is It Really Worth It?

2020 ◽  
Vol 15 (7) ◽  
pp. 964-970
Author(s):  
David Barranco-Gil ◽  
Lidia B. Alejo ◽  
Pedro L. Valenzuela ◽  
Jaime Gil-Cabrera ◽  
Almudena Montalvo-Pérez ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Oxygen Uptake ◽  
Power Output ◽  
Perceived Exertion ◽  
Time Trial ◽  
Peak Oxygen Uptake ◽  
Rating Of Perceived Exertion ◽  
Mean Power ◽  
Warm Up

Purpose: To analyze the effects of different warm-up protocols on endurance-cycling performance from an integrative perspective (by assessing perceptual, neuromuscular, physiological, and metabolic variables). Methods: Following a randomized crossover design, 15 male cyclists (35 [9] y; peak oxygen uptake [VO2peak] 66.4 [6.8] mL·kg−1·min−1) performed a 20-minute cycling time trial (TT) preceded by no warm-up, a standard warm-up (10 min at 60% of VO2peak), or a warm-up that was intended to induce potentiation postactivation (PAP warm-up; 5 min at 60% of VO2peak followed by three 10-s all-out sprints). Study outcomes were jumping ability and heart-rate variability (both assessed at baseline and before the TT), TT performance (mean power output), and perceptual (rating of perceived exertion) and physiological (oxygen uptake, muscle oxygenation, heart-rate variability, blood lactate, and thigh skin temperature) responses during and after the TT. Results: Both standard and PAP warm-up (9.7% [4.7%] and 12.9% [6.5%], respectively, P < .001), but not no warm-up (−0.9% [4.8%], P = .074), increased jumping ability and decreased heart-rate variability (−7.9% [14.2%], P = .027; −20.3% [24.7%], P = .006; and −1.7% [10.5%], P = .366). Participants started the TT (minutes 0–3) at a higher power output and oxygen uptake after PAP warm-up compared with the other 2 protocols (P < .05), but no between-conditions differences were found overall for the remainder of outcomes (P > .05). Conclusions: Compared with no warm-up, warming up enhanced jumping performance and sympathetic modulation before the TT, and the inclusion of brief sprints resulted in a higher initial power output during the TT. However, no warm-up benefits were found for overall TT performance or for perceptual or physiological responses during the TT.

The Effects of Performing Mental Exertion during Cycling Exercise on Fatigue Indices

2020 ◽  
Vol 41 (12) ◽  
pp. 846-857
Author(s):  
Hamidreza Barzegarpoor ◽  
Hamid Amoozi ◽  
Hamid Rajabi ◽  
Duane Button ◽  
Rana Fayazmilani
Keyword(s):  
Heart Rate ◽  
Power Output ◽  
Maximal Voluntary Contraction ◽  
Peak Power ◽  
Perceived Exertion ◽  
Voluntary Contraction ◽  
Peak Power Output ◽  
Cycling Exercise ◽  
Rate Of Perceived Exertion ◽  
Mental Exertion

AbstractThis study investigated the effect of performing prolonged mental exertion during submaximal cycling exercise on exercise tolerance and fatigue. Participants performed 5 experimental sessions. Session 1: determination of cycling peak power output. Sessions 2 and 3: cycling to exhaustion at 65% peak power output with mental exertion or watching a movie. Sessions 4 and 5: cycling for 45 min at 65% peak power output with mental exertion or while watching a movie. During sessions 2–5, rate of perceived exertion and heart rate were recorded while cycling and cortisol and prolactin concentrations, psychomotor vigilance task performance, and maximal voluntary contraction were measured pre-and post-sessions. During sessions 2 and 3, time to exhaustion was reduced (p<0.01) and rate of perceived exertion was increased (p<0.01) in session 2 compared to 3. Cortisol, prolactin and heart rate increased and psychomotor vigilance task and maximal voluntary contraction decreased from pre-to post-sessions with no difference between sessions. Cortisol, prolactin and rate of perceived exertion were higher (p<0.03) in session 4 than 5. Heart rate increased and maximal voluntary contraction decreased from pre-to post-sessions with no difference between sessions. Prolonged mental exertion during cycling exercise reduces exercise tolerance, which appears to be mediated psychologically rather than physiologically.

scholarly journals Indoor Cycling Energy Expenditure: Does Sequence Matter?

2021 ◽  
Vol 18 (3) ◽  
pp. 870 ◽  
Author(s):  
Cristina Cortis ◽  
Andrea Fusco ◽  
Mitchell Cook ◽  
Scott T. Doberstein ◽  
Cordial Gillette ◽  
...  
Keyword(s):  
Heart Rate ◽  
Oxygen Consumption ◽  
Energy Expenditure ◽  
Peak Power ◽  
Perceived Exertion ◽  
Recovery Period ◽  
Rating Of Perceived Exertion ◽  
Peak Power Output ◽  
Exercise Enjoyment ◽  
Physiological Markers

Although cycling class intensity can be modified by changing interval intensity sequencing, it has not been established whether the intensity order can alter physiological and perceptual responses. Therefore, this study aimed to determine the effects of interval intensity sequencing on energy expenditure (EE), physiological markers, and perceptual responses during indoor cycling. Healthy volunteers (10 males = 20.0 ± 0.8years; 8 females = 21.3 ± 2.7years) completed three randomly ordered interval bouts (mixed pyramid—MP, ascending intervals—AI, descending intervals—DI) including three 3-min work bouts at 50%, 75%, and 100% of peak power output (PPO) and three 3-min recovery periods at 25% PPO. Heart rate (HR) and oxygen consumption (VO2) were expressed as percentages of maximal HR (%HRmax) and VO2 (%VO2max). EE was computed for both the work bout and for the 5-min recovery period. Session Rating of Perceived Exertion (sRPE) and Exercise Enjoyment Scale (EES) were recorded. No differences emerged for % HRmax (MP = 73.3 ± 6.1%; AI = 72.1 ± 4.9%; DI = 71.8 ± 4.5%), % VO2max (MP = 51.8 ± 4.6%; AI = 51.4 ± 3.9%; DI = 51.3 ± 4.5%), EE (MP = 277.5 ± 39.9 kcal; AI = 275.8 ± 39.4 kcal; DI = 274.9 ± 42.1 kcal), EES (MP = 4.9 ± 1.0; AI = 5.3 ± 1.1; DI = 4.9 ± 0.9), and sRPE (MP = 4.9 ± 1.0; AI = 5.3 ± 1.1; DI = 4.9 ± 0.9). EE during recovery was significantly (p < 0.005) lower after DI (11.9 ± 3.2 kcal) with respect to MP (13.2 ± 2.5 kcal) and AI (13.3 ± 2.5 kcal). Although lower EE was observed during recovery in DI, interval intensity sequencing does not affect overall EE, physiological markers, and perceptual responses.

scholarly journals Comparison of Acute Responses to Two Different Cycling Sprint Interval Exercise Protocols with Different Recovery Durations

2020 ◽  
Vol 17 (3) ◽  
pp. 1026 ◽  
Author(s):  
Natalia Danek ◽  
Marcin Smolarek ◽  
Kamil Michalik ◽  
Marek Zatoń
Keyword(s):  
Heart Rate ◽  
Oxygen Uptake ◽  
Perceived Exertion ◽  
Lactate Concentration ◽  
Peak Oxygen Uptake ◽  
Rating Of Perceived Exertion ◽  
Peak Power Output ◽  
Peak Heart Rate ◽  
Interval Exercise ◽  
Acute Responses

Background: Knowledge of acute responses to different sprint interval exercise (SIE) helps to implement new training programs. The aim of this study was to compare the acute physiological, metabolic and perceptual responses to two different SIE cycling protocols with different recovery durations. Methods: Twelve healthy, active male participants took part in this study and completed four testing sessions in the laboratory separated by a minimum of 72h. Two SIE protocols were applied in randomized order: SIE6×10”/4’—six “all-out” repeated 10-s bouts, interspersed with 4-min recovery; and SIESERIES—two series of three “all-out” repeated 10-s bouts, separated by 30-s recovery and 18-min recovery between series. Protocols were matched for the total work time (1 min) and recovery (20 min). Results: In SIESERIES, peak oxygen uptake and peak heart rate were significantly higher (p < 0.05), without differences in peak blood lactate concentration and mean rating of perceived exertion compared to SIE6×10”/4’. There were no differences in peak power output, peak oxygen uptake and peak heart rate between both series in SIESERIES. Conclusions: Two series composed of three 10-s “all-out” bouts in SIESERIES protocol evoked higher cardiorespiratory responses, which can provide higher stimulus to improve aerobic fitness in regular training.

A Systematic Review of Submaximal Cycle Tests to Predict, Monitor, and Optimize Cycling Performance

2016 ◽  
Vol 11 (6) ◽  
pp. 707-714 ◽  
Author(s):  
Benoit Capostagno ◽  
Michael I. Lambert ◽  
Robert P. Lamberts
Keyword(s):  
Heart Rate ◽  
Power Output ◽  
Perceived Exertion ◽  
Heart Rate Recovery ◽  
Mechanical Efficiency ◽  
Cycling Performance ◽  
Rating Of Perceived Exertion ◽  
Time To Exhaustion ◽  
Gross Mechanical Efficiency ◽  
Multiple Variables

Finding the optimal balance between high training loads and recovery is a constant challenge for cyclists and their coaches. Monitoring improvements in performance and levels of fatigue is recommended to correctly adjust training to ensure optimal adaptation. However, many performance tests require a maximal or exhaustive effort, which reduces their real-world application. The purpose of this review was to investigate the development and use of submaximal cycling tests that can be used to predict and monitor cycling performance and training status. Twelve studies met the inclusion criteria, and 3 separate submaximal cycling tests were identified from within those 12. Submaximal variables including gross mechanical efficiency, oxygen uptake (VO2), heart rate, lactate, predicted time to exhaustion (pTE), rating of perceived exertion (RPE), power output, and heart-rate recovery (HRR) were the components of the 3 tests. pTE, submaximal power output, RPE, and HRR appear to have the most value for monitoring improvements in performance and indicate a state of fatigue. This literature review shows that several submaximal cycle tests have been developed over the last decade with the aim to predict, monitor, and optimize cycling performance. To be able to conduct a submaximal test on a regular basis, the test needs to be short in duration and as noninvasive as possible. In addition, a test should capture multiple variables and use multivariate analyses to interpret the submaximal outcomes correctly and alter training prescription if needed.

Exercise Prescription Using the Borg Rating of Perceived Exertion to Improve Fitness

2017 ◽  
Vol 39 (02) ◽  
pp. 115-123 ◽  
Author(s):  
Manuel Garnacho-Castaño ◽  
Raúl Domínguez ◽  
Arturo Muñoz González ◽  
Raquel Feliu-Ruano ◽  
Noemí Serra-Payá ◽  
...  
Keyword(s):  
Heart Rate ◽  
Peak Power ◽  
Perceived Exertion ◽  
Exercise Prescription ◽  
Time Effect ◽  
Rating Of Perceived Exertion ◽  
Muscular Fitness ◽  
Time Interaction ◽  
Circuit Resistance Training ◽  
Circuit Resistance

AbstractThe present study aimed to compare two fitness-training methodologies, instability circuit resistance training (ICRT) versus traditional circuit resistance training (TCRT), applying an experimental model of exercise prescription controlling and modulating exercise load using the Borg rating of perceived exertion. Forty-four healthy young adults age (21.6±2.3 years) were randomly assigned to three groups: TCRT (n=14), ICRT (n=14) and a control group (n=16). Strength and cardiorespiratory tests were chosen to evaluate cardiorespiratory and muscular fitness before and after the training program. In cardiorespiratory data, a significant difference was observed for the time effect in VO2max, peak heart rate, peak velocity, and heart rate at anaerobic threshold intensity (p<0.05) in the experimental groups. In strength variables, a significant Group x Time interaction effect was detected in 1RM, in mean propulsive power, and in peak power (p≤0.01) in the back squat exercise. In the bench press exercise, a significant time effect was detected in 1RM, in mean propulsive power, and in peak power, and a Group x Time interaction in peak power (all p<0.05). We can conclude that applying an experimental model of exercise prescription using RPE improved cardiorespiratory and muscular fitness in healthy young adults in both experimental groups.

System design and application for evaluation of digging agility in college male volleyball players

2019 ◽  
Vol 233 (3) ◽  
pp. 424-431
Author(s):  
Chin-Shan Ho ◽  
Kuo-Chuan Lin ◽  
Min-Hao Hung ◽  
Chi-Yao Chang ◽  
Ke-Chou Chen
Keyword(s):  
Power Output ◽  
Peak Power ◽  
Training Group ◽  
T Test ◽  
Analysis Of Covariance ◽  
Peak Power Output ◽  
Control Group ◽  
Plyometric Training ◽  
College Male ◽  
Volleyball Players

The primary objective of this study was to design a digging agility system that was used to analyze the effectiveness of 6 weeks of plyometric training on volleyball players. A total of 24 highly trained college male volleyball players were recruited for this study. The players were equally divided into a plyometric training group and a control group. The agility T-test, peak power output test, 10-meter sprint, and digging agility test were used to examine the effects of plyometric training on the digging agility of volleyball players. One-way analysis of covariance was conducted to examine the differences in the variables between groups. The results reveal that after 6 weeks of plyometric training, the plyometric training group had significant improvements on the agility T-test, digging agility test, and peak power output tests, with statistical power values all greater than 90%. The plyometric training group significantly improved by 2.68% on the agility T-test, 2.35% on the digging agility test, and 7.32% on the peak power output test. The results indicated that appropriate plyometric training can enhance the agility of lateral movements and peak output of vertical jumps, as well as enable players to rapidly complete movements during a moving defense.

Carbohydrate Mouth Rinsing in the Fed State: Lack of Enhancement of Time-Trial Performance

2009 ◽  
Vol 19 (4) ◽  
pp. 400-409 ◽  
Author(s):  
Milou Beelen ◽  
Jort Berghuis ◽  
Ben Bonaparte ◽  
Sam B. Ballak ◽  
Asker E. Jeukendrup ◽  
...  
Keyword(s):  
Heart Rate ◽  
Power Output ◽  
Perceived Exertion ◽  
Average Power ◽  
Time Trial ◽  
Rating Of Perceived Exertion ◽  
Time Trial Performance ◽  
Mouth Rinsing ◽  
The Impact ◽  
Trial Performance

It has been reported previously that mouth rinsing with a carbohydrate-containing solution can improve cycling performance. The purpose of the current study was to investigate the impact of such a carbohydrate mouth rinse on exercise performance during a simulated time trial in a more practical, postprandial setting. Fourteen male endurance-trained athletes were selected to perform 2 exercise tests in the morning after consuming a standardized breakfast. They performed an ~1-hr time trial on a cycle ergometer while rinsing their mouths with either a 6.4% maltodextrin solution (CHO) or water (PLA) after every 12.5% of the set amount of work. Borg’s rating of perceived exertion (RPE) was assessed after every 25% of the set amount of work, and power output and heart rate were recorded continuously throughout the test. Performance time did not differ between treatments and averaged 68.14 ± 1.14 and 67.52 ± 1.00 min in CHO and PLA, respectively (p = .57). In accordance, average power output (265 ± 5 vs. 266 ± 5 W, p = .58), heart rate (169 ± 2 vs. 168 ± 2 beats/min, p = .43), and RPE (16.4 ± 0.3 vs. 16.7 ± 0.3 W, p = .26) did not differ between treatments. Furthermore, after dividing the trial into 8s, no differences in power output, heart rate, or perceived exertion were observed over time between treatments. Carbohydrate mouth rinsing does not improve time-trial performance when exercise is performed in a practical, postprandial setting.

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