Effect of Training-Session Intensity Distribution on Session Rating of Perceived Exertion in Soccer Players

2015 ◽  
Vol 10 (4) ◽  
pp. 426-430 ◽  
Author(s):  
Maurizio Fanchini ◽  
Roberto Ghielmetti ◽  
Aaron J. Coutts ◽  
Federico Schena ◽  
Franco M. Impellizzeri
Keyword(s):  
Exercise Intensity ◽  
Perceived Exertion ◽  
Training Session ◽  
Random Order ◽  
Rating Of Perceived Exertion ◽  
Lower Limbs ◽  
Total Quality ◽  
Quality Of Recovery ◽  
Rate Maximum

Purpose:To examine the effect of different exercise-intensity distributions within a training session on the session rating of perceived exertion (RPE) and to examine the timing of measure on the rating.Methods:Nineteen junior players (age 16 ± 1 y, height 173 ± 5 cm, body mass 64 ± 6 kg) from a Swiss soccer team were involved in the study. Percentage of heart rate maximum (%HR) and RPE (Borg CR100®) were collected in 4 standardized training sessions (conditions). The Total Quality of Recovery scale (TQR) and a visual analogue scale (VAS) for pain of the lower limbs were used to control for the effect of pretraining fatigue. Every session consisted of three 20-min blocks of different intensities (ie, low-moderate-high) performed in a random order. RPE was collected after every block (RPE5), immediately after the session (RPE-end), and 30 min after the session (RPE30).Results:RPE5s of each block were different depending on the distribution sequence (P < .0001). RPE-end, TQR, and VAS values were not different between conditions (P = .57, P = .55, and P = .96, respectively). The %HR was significantly different between conditions (P = .008), with condition 3 higher than condition 2 (74.1 vs 70.2%, P = .02). Edwards training loads were not significantly different between conditions (P = .09). RPE30 was not different from RPE-end (P > .05).Conclusions:The current results show that coaches can design training sessions without concern about the influence of the within-session distribution of exercise intensity on session-RPE and that RPE can be collected at the end of the session or 30 min later.

scholarly journals Impaired Player–Coach Perceptions of Exertion and Recovery During Match Congestion

2017 ◽  
Vol 12 (9) ◽  
pp. 1151-1156 ◽  
Author(s):  
Steven H. Doeven ◽  
Michel S. Brink ◽  
Wouter G.P. Frencken ◽  
Koen A.P.M. Lemmink
Keyword(s):  
Perceived Exertion ◽  
Training Session ◽  
Rating Of Perceived Exertion ◽  
Total Quality ◽  
Basketball Players ◽  
Subsequent Recovery ◽  
Professional Basketball ◽  
Quality Of Recovery ◽  
Degree Of Recovery

During intensified phases of competition, attunement of exertion and recovery is crucial to maintain performance. Although a mismatch between coach and player perceptions of training load is demonstrated, it is unknown if these discrepancies also exist for match exertion and recovery. Purpose:To determine match exertion and subsequent recovery and to investigate the extent to which the coach is able to estimate players’ match exertion and recovery. Methods:Rating of perceived exertion (RPE) and total quality of recovery (TQR) of 14 professional basketball players (age 26.7 ± 3.8 y, height 197.2 ± 9.1 cm, weight 100.3 ± 15.2 kg, body fat 10.3% ± 3.6%) were compared with observations of the coach. During an in-season phase of 15 matches within 6 wk, players gave RPEs after each match. TQR scores were filled out before the first training session after the match. The coach rated observed exertion (ROE) and recovery (TQ-OR) of the players. Results:RPE was lower than ROE (15.6 ± 2.3 and 16.1 ± 1.4; P = .029). Furthermore, TQR was lower than TQ-OR (12.7 ± 3.0 and 15.3 ± 1.3; P < .001). Correlations between coach- and player-perceived exertion and recovery were r = .25 and r = .21, respectively. For recovery within 1 d the correlation was r = .68, but for recovery after 1–2 d no association existed. Conclusion:Players perceive match exertion as hard to very hard and subsequent recovery reasonable. The coach overestimates match exertion and underestimates degree of recovery. Correspondence between coach and players is thus not optimal. This mismatch potentially leads to inadequate planning of training sessions and decreases in performance during fixture congestion in basketball.

scholarly journals Nonergodicity in Load and Recovery: Group Results Do Not Generalize to Individuals

2021 ◽  
pp. 1-9
Author(s):  
Niklas D. Neumann ◽  
Nico W. Van Yperen ◽  
Jur J. Brauers ◽  
Wouter Frencken ◽  
Michel S. Brink ◽  
...  
Keyword(s):  
Perceived Exertion ◽  
Rating Of Perceived Exertion ◽  
Group Level ◽  
Total Quality ◽  
Individual Level ◽  
Quality Of Recovery ◽  
Level Statistics ◽  
The Individual ◽  
Level Analysis

Purpose: The study of load and recovery gained significant interest in the last decades, given its important value in decreasing the likelihood of injuries and improving performance. So far, findings are typically reported on the group level, whereas practitioners are most often interested in applications at the individual level. Hence, the aim of the present research is to examine to what extent group-level statistics can be generalized to individual athletes, which is referred to as the “ergodicity issue.” Nonergodicity may have serious consequences for the way we should analyze, and work with, load and recovery measures in the sports field. Methods: The authors collected load, that is, rating of perceived exertion × training duration, and total quality of recovery data among youth male players of a professional football club. This data were collected daily across 2 seasons and analyzed on both the group and the individual level. Results: Group- and individual-level analysis resulted in different statistical outcomes, particularly with regard to load. Specifically, SDs within individuals were up to 7.63 times larger than SDs between individuals. In addition, at either level, the authors observed different correlations between load and recovery. Conclusions: The results suggest that the process of load and recovery in athletes is nonergodic, which has important implications for the sports field. Recommendations for training programs of individual athletes may be suboptimal, or even erroneous, when guided by group-level outcomes. The utilization of individual-level analysis is key to ensure the optimal balance of individual load and recovery.

High Match Load’s Relation to Decreased Well-Being During an Elite Women’s Rugby Sevens Tournament

2019 ◽  
Vol 14 (8) ◽  
pp. 1036-1042 ◽  
Author(s):  
Steven H. Doeven ◽  
Michel S. Brink ◽  
Barbara C.H. Huijgen ◽  
Johan de Jong ◽  
Koen A.P.M. Lemmink
Keyword(s):  
High Intensity ◽  
Muscle Soreness ◽  
Perceived Exertion ◽  
Well Being ◽  
Rating Of Perceived Exertion ◽  
Total Quality ◽  
Quality Of Recovery ◽  
Time Motion ◽  
Stress Levels

During rugby sevens tournaments, it is crucial to balance match load and recovery to strive for optimal performance. Purpose: To determine changes in well-being, recovery, and neuromuscular performance during and after an elite women’s rugby sevens tournament and assess the influence of match-load indicators. Methods: Twelve elite women rugby sevens players (age = 25.3 [4.1]y, height = 169.0 [4.0] cm, weight = 63.9 [4.9] kg, and body fat = 18.6% [2.7%]) performed 5 matches during a 2-d tournament of the Women’s Rugby Sevens World Series. Perceived well-being (fatigue, sleep quality, general muscle soreness, stress levels, and mood), total quality of recovery, and countermovement-jump flight time were measured on match days 1 and 2, 1 d posttournament, and 2 d posttournament. Total distance; low-, moderate-, and high-intensity running; and physical contacts during matches were derived from global positioning system–based time–motion analysis and video-based notational analysis, respectively. Internal match load was calculated by session rating of perceived exertion and playing time (rating of perceived exertion × duration). Results: Well-being (P < .001), fatigue (P < .001), general muscle soreness (P < .001), stress levels (P < .001), mood (P = .005), and total quality of recovery (P < .001) were significantly impaired after match day 1 and did not return to baseline values until 2 d posttournament. More high-intensity running was related to more fatigue (r = −.60, P = .049) and a larger number of physical contacts with more general muscle soreness (r = −.69, P = .013). Conclusion: Perceived well-being and total quality of recovery were already impaired after match day 1, although performance was maintained. High-intensity running and physical contacts were predominantly related to fatigue and general muscle soreness, respectively.

Monitoring Training Load, Recovery, and Performance of Brazilian Professional Volleyball Players During a Season

2018 ◽  
Vol 13 (9) ◽  
pp. 1182-1189 ◽  
Author(s):  
Paula B. Debien ◽  
Marcelly Mancini ◽  
Danilo R. Coimbra ◽  
Daniel G.S. de Freitas ◽  
Renato Miranda ◽  
...  
Keyword(s):  
Physical Performance ◽  
Perceived Exertion ◽  
Training Session ◽  
Training Load ◽  
Rating Of Perceived Exertion ◽  
Total Quality ◽  
Volleyball Players ◽  
Monitoring Training ◽  
And Performance ◽  
Difficulty Score

Purpose: To describe and analyze the distribution of internal training load (ITL), recovery, and physical performance of professional volleyball players throughout 1 season. Methods: Fifteen male professional Brazilian volleyball players participated in this study. The session rating of perceived exertion (s-RPE) and Total Quality Recovery (TQR) score were collected daily for 36 wk. s-RPE was collected after each training session, and TQR, before the first session of the day. The sum of the ITL of each session during the week, training monotony, strain, acute∶chronic workload ratio, match difficulty score, and average of the TQR scores were recorded for the analysis. In addition, the athletes performed countermovement-jump (CMJ) tests with and without the use of the arms 4 times over the season. Results: The season mean weekly ITL was 3733 (1228) AU and the TQR was 15.02 (0.71). The ITL and recovery demonstrated undulating dynamics over the 36 wk, with higher weekly ITL in the preparatory periods (F = 50.32; P < .001) and worse recovery during the main competition (F = 6.47; P = .004). Negative correlations were found between TQR and ITL variables (P < .05). There was improvement and maintenance in CMJ tests without (F = 11.88; P < .001) and with (F = 16.02; P < .001) the use of the arms after the preparatory periods. Conclusions: The ITL variables, recovery, and physical performance changed significantly throughout a professional volleyball season. Despite the decrease in ITL during the main competitive period, the correct distribution of weekly ITL seems to be very important to guarantee the best recovery of athletes.

scholarly journals Influence of Faster and Slower Recovery-Profile Classifications, Self-Reported Sleep, Acute Training Load, and Phase of the Microcycle on Perceived Recovery in Futsal Players

2020 ◽  
Vol 15 (5) ◽  
pp. 648-653 ◽  
Author(s):  
Carolina F. Wilke ◽  
Samuel P. Wanner ◽  
Weslley H.M. Santos ◽  
Eduardo M. Penna ◽  
Guilherme P. Ramos ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Perceived Exertion ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Training Load ◽  
Rating Of Perceived Exertion ◽  
Total Quality ◽  
Training Impulse

Purpose: To determine whether daily perceived recovery is explained from a multifactorial single-session classification of recovery (ie, faster vs slower) or other circumstantial factors (ie, previous training load, self-reported sleep, or phase of the microcycle). Methods: Nineteen elite male futsal players were initially allocated to a recovery-classification group (faster recovery, slower physiological, or slower perceptual) based on previous research using a multifactorial cluster-analysis technique. During 4 ensuing weeks of preseason, training loads were monitored via player load, training impulse, and session rating of perceived exertion. Before each day’s training, players reported their perception of recovery (Total Quality of Recovery scale [TQR]) and the number of hours and perceived quality of sleep the night prior. A hierarchical linear mixed model was used to analyze the effect of the different recovery profiles, training load, sleep, and phase of the microcycle (ie, start, middle, end) on daily TQR. Results: The recovery classification of players (P = .20), training load (training impulse, P = .32; player load, P = .23; session rating of perceived exertion, P = .46), and self-reported hours slept the night before (P = .45) did not significantly influence TQR. However, perceived sleep quality (P < .01) and phase of the microcycle (P < .01) were significantly associated with TQR (r2 = .41). Conclusions: Neither recovery classification nor prior training load influenced perceived recovery during the preseason. However, higher TQR was evident with better self-reported sleep quality, whereas lower values were associated with phases of the training week.

scholarly journals Perceived training load and jumping responses following nine weeks of a competitive period in young female basketball players

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e5225 ◽  
Author(s):  
Igor de Freitas Cruz ◽  
Lucas Adriano Pereira ◽  
Ronaldo Kobal ◽  
Katia Kitamura ◽  
Cristiano Cedra ◽  
...  
Keyword(s):  
Perceived Exertion ◽  
Training Session ◽  
Young Female ◽  
Rating Of Perceived Exertion ◽  
Multivariate Approach ◽  
Total Quality ◽  
Countermovement Jump ◽  
Young Athletes ◽  
Basketball Players ◽  
Weekly Training

The aims of this study were to describe the session rating of perceived exertion (sRPE), total quality recovery (TQR), and variations in countermovement jump (CMJ) height throughout nine weeks of a competitive period in young female basketball players. In total, 10 young female basketball players (17.2 ± 0.4 years; 71.8 ± 15.0 kg; 177.2 ± 9.5 cm) participated in this study. The sRPE and TQR were assessed in each training session, whereas the CMJ height was assessed prior to the first weekly training session. The magnitude-based inferences method was used to compare the sRPE, TQR, and CMJ height across the nine weeks of training. The training loads accumulated in weeks 1, 2, and 3 were likely to almost certainly be higher than in the following weeks (ES varying from 0.67 to 2.55). The CMJ height in week 1 was very likely to be lower than in weeks 2, 5, 7, and 8 (ES varying from 0.24 to 0.34), while the CMJ height of the 9th week was likely to almost certainly be higher than all previous weeks of training (ES varying from 0.70 to 1.10). Accordingly, it was observed that when higher training loads were accumulated, both CMJ and TQR presented lower values than those presented during periods with lower internal training loads. These results highlight the importance of using a comprehensive and multivariate approach to effectively monitor the physical performance of young athletes.

scholarly journals Physiological responses during intermittent running exercise differ between outdoor and treadmill running

2017 ◽  
Vol 42 (9) ◽  
pp. 973-977 ◽  
Author(s):  
Marco Panascì ◽  
Romuald Lepers ◽  
Antonio La Torre ◽  
Matteo Bonato ◽  
Hervè Assadi
Keyword(s):  
Oxygen Uptake ◽  
High Intensity ◽  
Perceived Exertion ◽  
Physiological Responses ◽  
Training Session ◽  
Optimal Solution ◽  
Random Order ◽  
Rating Of Perceived Exertion ◽  
Treadmill Running ◽  
Running Exercise

The aim of this study was to compare the physiological responses during 15 min of intermittent running consisting of 30 s of high-intensity running exercise at maximal aerobic velocity (MAV) interspersed with 30 s of passive recovery (30–30) performed outdoor versus on a motorized treadmill. Fifteen collegiate physically active males (age, 22 ± 1 years old; body mass, 66 ± 7 kg; stature, 176 ± 06 cm; weekly training volume, 5 ± 2 h·week−1), performed the Fitness Intermittent Test 45–15 to determine maximal oxygen uptake (V̇O2max) and MAV and then completed in random order 3 different training sessions consisting of a 30-s run/30-s rest on an outdoor athletic track (30–30 Track) at MAV; a 30-s run/30-s rest on a treadmill (30–30 Treadmill) at MAV; a 30-s run/30-s rest at MAV+15% (30–30 + 15% MAV Treadmill). Oxygen uptake (V̇O2), time above 90%V̇O2max (t90%V̇O2max), and rating of perceived exertion (RPE) were measured during each training session. We observed a statistical significant underestimation of V̇O2 (53.1 ± 5.4 mL·kg−1·min−1 vs 49.8 ± 6.7 mL·kg−1·min−1, –6.3%, P = 0.012), t90%V̇O2max (8.6% ± 11.5% vs 38.7% ± 32.5%, –77.8%, P = 0.008), RPE (11.4 ± 1.4 vs 16.5 ± 1.7, –31%, P < 0.0001) during the 30–30 Treadmill compared with the same training session performed on track. No statistical differences between 30–30 +15 % MAV Treadmill and 30–30 Track were observed. The present study demonstrates that a 15% increase in running velocity during a high-intensity intermittent treadmill training session is the optimal solution to reach the same physiological responses than an outdoor training session.

scholarly journals Correlação entre percepção subjetiva do esforço e fadiga neuromuscular dos membros inferiores em atletas de futebol

2020 ◽  
Vol 18 (3) ◽  
pp. 37-41
Author(s):  
Caique Lopes Müeller ◽  
Pedro Sotero da Cunha Neto ◽  
Eloir Junior da Silva Dos Santos ◽  
Alexandre Oliveira ◽  
Rosimeide Francisco dos Santos Legnani ◽  
...  
Keyword(s):  
Perceived Exertion ◽  
Vertical Jump ◽  
Training Session ◽  
Rating Of Perceived Exertion ◽  
Lower Limbs ◽  
Fat Percentage ◽  
Jump Test ◽  
Before And After ◽  
Statistical Program ◽  
The Difference

OBJETIVO: Determinar a correlação entre a percepção subjetiva do esforço (PSE) e a fadiga neuromuscular dos membros inferiores por meio de saltos mensurados no pré e pós treino em atletas de futebol.MÉTODOS: Quatorze atletas de futebol (sub 17) foram monitorados ao longo de quatro sessões de treinamento. Com as seguintes características: estatura (173±6,81cm), peso (64,43±5,80kg) e percentual de gordura (14,74±3,11). A PSE foi monitorada por meio do aplicativo e-trimp, 15 minutos após o final de cada sessão de treinamento. Os saltos foram avaliados por meio da plataforma de salto Jump System Pro, 10 minutos, antes e depois das sessões de treinamento. Os dados foram analisados no programa estatístico SPSS por meio da estatística descritiva e correlação de Spearman.RESULTADOS: A correlação entre a PSE e a diferença da potência relativa do salto vertical (pré/pós treino) foi fraca para todas as sessões. As sessões 1 e 4 apresentaram correlação negativa (r=-0,184, p=0,530; r=-0,159, p=0,587). As sessões 2 e 3 apresentaram correlação positiva (r=0,010, p=0,973; r=0,373, p=0,188), respectivamente.CONCLUSÃO: Não foram observadas correlações estatisticamente significativas entre a PSE e a potência relativa de salto nos atletas avaliados.ABSTRACT. The correlation between the rating of perceived exertion and neuromuscular fatigue on the lower body in soccer athletes.OBJECTIVE: Define the correlation between the rating of perceived exertion (RPE) and the power of the lower limbs before and after training in soccer athletes.METHODS: Were monitored 14 soccer athletes (under 17 years old) over four training sessions. With the following characteristics: height (173±6.81cm), weight (64.43±5.80kg) and fat percentage (14.74±3.11). RPE was monitored through the e-trimp app, 15 minutes after the end of each training session. Jumps were evaluated through the Jump System Pro jumping platform, 10 minutes before and after the training sessions. Data was analyzed in the SPSS statistical program using descriptive statistics and Spearman correlation.RESULTS: The correlation between the RPE and the difference of the relative power of the vertical jump test (pre/post training) was weak for all the sessions. Sessions 1 and 4 presented a negative correlation (r=-0.184, p=0.530; r=-0.159, p=0.587). Sessions 2 and 3 showed a positive correlation (r=0.010, p=0.973; r=0.373, p=0.188), respectively.CONCLUSION: There were no statistically significant correlations between the RPE and the relative jumping power in the evaluated athletes.

scholarly journals Managing Load to Optimize Well-Being and Recovery During Short-Term Match Congestion in Elite Basketball

2021 ◽  
Vol 16 (1) ◽  
pp. 45-50
Author(s):  
Steven H. Doeven ◽  
Michel S. Brink ◽  
Barbara C.H. Huijgen ◽  
Johan de Jong ◽  
Koen A.P.M. Lemmink
Keyword(s):  
Perceived Exertion ◽  
Training Session ◽  
Well Being ◽  
Training Load ◽  
Rating Of Perceived Exertion ◽  
Total Quality ◽  
Short Term ◽  
Basketball Players ◽  
Total Load ◽  
And Training

In elite basketball, players are exposed to intensified competition periods when participating in both national and international competitions. How coaches manage training between matches and in reference to match scheduling for a full season is not yet known. Purpose: First, to compare load during short-term match congestion (ie, ≥2-match weeks) with regular competition (ie, 1-match weeks) in elite male professional basketball players. Second, to determine changes in well-being, recovery, neuromuscular performance, and injuries and illnesses between short-term match congestion and regular competition. Methods: Sixteen basketball players (age 24.8 [2.0] y, height 195.8 [7.5] cm, weight 94.8 [14.0] kg, body fat 11.9% [5.0%], VO2max 51.9 [5.3] mL·kg−1·min−1) were monitored during a full season. Session rating of perceived exertion (s-RPE) was obtained, and load was calculated (s-RPE × duration) for each training session or match. Perceived well-being (fatigue, sleep quality, general muscle soreness, stress levels, and mood) and total quality of recovery were assessed each training day. Countermovement jump height was measured, and a list of injuries and illnesses was collected weekly using the adapted Oslo Sports Trauma Research Center Questionnaire on Health Problems. Results: Total load (training sessions and matches; P < .001) and training load (P < .001) were significantly lower for ≥2-match weeks. Significantly higher well-being (P = .01) and less fatigue (P = .001) were found during ≥2-match weeks compared with 1-match weeks. Conclusion: Total load and training load were lower during short-term match congestion compared with regular competition. Furthermore, better well-being and less fatigue were demonstrated within short-term match congestion. This might indicate that coaches tend to overcompensate training load in intensified competition.

scholarly journals Internal and External Training Load in Under-19 versus Professional Soccer Players during the In-Season Period

2021 ◽  
Vol 18 (2) ◽  
pp. 558
Author(s):  
Sullivan Coppalle ◽  
Guillaume Ravé ◽  
Jason Moran ◽  
Iyed Salhi ◽  
Abderraouf Ben Abderrahman ◽  
...  
Keyword(s):  
Perceived Exertion ◽  
Training Session ◽  
Training Load ◽  
Rating Of Perceived Exertion ◽  
Soccer Players ◽  
Time Intervals ◽  
Professional Soccer ◽  
Global Positioning ◽  
External Training ◽  
Soccer Team

This study aimed to compare the training load of a professional under-19 soccer team (U-19) to that of an elite adult team (EAT), from the same club, during the in-season period. Thirty-nine healthy soccer players were involved (EAT [n = 20]; U-19 [n = 19]) in the study which spanned four weeks. Training load (TL) was monitored as external TL, using a global positioning system (GPS), and internal TL, using a rating of perceived exertion (RPE). TL data were recorded after each training session. During soccer matches, players’ RPEs were recorded. The internal TL was quantified daily by means of the session rating of perceived exertion (session-RPE) using Borg’s 0–10 scale. For GPS data, the selected running speed intensities (over 0.5 s time intervals) were 12–15.9 km/h; 16–19.9 km/h; 20–24.9 km/h; >25 km/h (sprint). Distances covered between 16 and 19.9 km/h, > 20 km/h and >25 km/h were significantly higher in U-19 compared to EAT over the course of the study (p =0.023, d = 0.243, small; p = 0.016, d = 0.298, small; and p = 0.001, d = 0.564, small, respectively). EAT players performed significantly fewer sprints per week compared to U-19 players (p = 0.002, d = 0.526, small). RPE was significantly higher in U-19 compared to EAT (p =0.001, d = 0.188, trivial). The external and internal measures of TL were significantly higher in the U-19 group compared to the EAT soccer players. In conclusion, the results obtained show that the training load is greater in U19 compared to EAT.

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