Is the internal training load different between starters and nonstarters volleyball players submitted to the same external load training? A case study (original) (raw)
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Correspondence Between Training Load Executed by Volleyball Players and the One Observed by Coaches
Journal of Strength and Conditioning Research, 2014
The main aim of this study was to compare the training load (TL) executed by volleyball players with that observed by coaches. Second, we analyzed the influence of the coaches' experience in the estimated TL. Twelve female volleyball players and 4 male coaches participated in this study. During a period of 15 weeks, physical (PT) and technical-tactical training sessions and matches were monitored. In each session, the session rating of perceived exertion (sRPE) was recorded to analyze the players' exercise intensity and TL RPE. Coaches were present in all sessions and rated their estimate of sRPE at the same time as the players to calculate the coaches' TL RPE. Both players' and coaches' mean sRPE (4.0 6 1.1, 3.7 6 1.1, and 3.8 6 1.0 in players and expert and beginning coaches, respectively) and TL RPE (380.1 6 106.8, 358.3 6 110.5, and 359.7 6 108.0 in players and expert and beginning coaches, respectively) were similar. However, a higher (p , 0.01) sRPE and TL RPE were observed in the players during PT. In general, the weekly TL RPE variation over the course of this study was similar in players and coaches. The players' sRPE and TL RPE were correlated (p , 0.01) with expert and beginner coaches' RPE (r = 0.70 and 0.72, respectively) and TL RPE (r = 0.75 and 0.76, respectively). In conclusion, the present findings show the correspondence between players' and coaches' sRPE and TL RPE regardless of their experience. Hence, coaches' TL RPE could be a useful and practical method to monitor and control the TL and other derived parameters in an easy way during volleyball.
Internal training load: perception of volleyball coaches and athletes
The aim of this study was to evaluate the correspondence between perceived internal load of volleyball players of different positions with perceived internal load planned by the coach, as well as to compare the perceptions of internal training load between different positions in volleyball. The sample was composed of 15 professional volleyball players who were members of a 2012/2013 team in the Brazilian first division league. The athletes answered the Borg CR-10 scale after training, while the coach answered before the training, as was planned for this study. Data analysis was performed Kappa (K), one-way and two-way ANOVA with Tukey post-hoc using the statistical packages SPSS 19.0 and Statistica 8.0. The results indicated that all positions showed good agreement with the perception of the coach and no significant differences in perceptions of internal training load. However, when analysing the percentage of athletes' perceptions of intensity proposed by the coach, it was obse...
Within-week differences in external training load demands in elite volleyball players
BMC Sports Science, Medicine and Rehabilitation
Purpose The aim of this study was to analyze the within-week differences in external training intensity in different microcycles considering different playing positions in women elite volleyball players. Methods The training and match data were collected during the 2020–2021 season, which included 10 friendly matches, 41 league matches and 11 champions league matches. The players’ position, training/match duration, training/match load, local positioning system (LPS) total distance, LPS jumps, accelerations, decelerations, high metabolic load distance (HMLD), acute and chronic (AC) mean and AC ratio calculated with the rolling average (RA) method and the exponentially weighted moving average (EWMA) method, monotony and strain values were analyzed. Results All the variables except strain, Acc/Dec ratio and acute mean (RA) showed significant differences among distance to match days. Regarding the players’ positions, the only difference was found in the AC ratio (EWMA); in all microcycl...
Fatigue and Training Load Factors in Volleyball
International Journal of Environmental Research and Public Health
The purpose of this article was to determine the internal and external loads experienced by volleyball players in a weekly cycle during the competitive season. Using accelerometers, as well as subjective rating perceived exertion (RPE) and total quality recovery scale (TQR) questionnaires, eleven female athletes were monitored during five days of training sessions over the course of the 2021 season. The data were evaluated for trends during the start period in preparation for the championship tournament. Analysis of the accelerometer data revealed a relationship between RPE and session rating perceived exertion (s-RPE), as well as the number of total accelerations. It was reported that on the training days of the same well-being level, the jump number values were significantly different. The results suggest that monitoring athletes for the number of accelerations can be used to understand the needs of volleyball players and to improve the design of training and recovery days to opti...
Training Load Impact on Recovery Status in Professional Volleyball Athletes
Revista Brasileira de Medicina do Esporte
Introduction: The success of training depends on the balance between training load magnitude and recovery. Objective: Verify the effect of training load distribution on recovery status, vigor and fatigue in volleyball players during a season. Methods: Nine male athletes from a professional volleyball team participated in the study. During 19 weeks of the season, quantification of the training load was performed through the session rating of perceived exertion (RPE) method, evaluation of the athletes' recovery status through the Total Quality Recovery (TQR) scale, and evaluation of the profile of mood state through the POMS questionnaire, with research focus for the subscales vigor and fatigue. Results: The average total weekly training load (TWTL) was 3206 ± 685.5 A. Us and the average recovery of the whole season was 15.3 ± 0.57. The mean values of fatigue and vigor were 11 ± 3.05 and 19.4 ± 2.84, respectively. Significant differences were found for the variables RPE, fatigue a...
Rating of Perceived Exertion in Professional Volleyball: A Systematic Review
Review question / Objective: The purpose of the current review was to systematically and critically evaluate the use RPE-based methods in professional volleyball. Condition being studied: Monitoring athlete load is better understood through sub-dividing load into two groups – internal and external. Internal training load (ITL) refers to the physiological stress that a training session induces in the athlete. Rating of perceived exertion (RPE) has become the most common method of monitoring ITL. The RPE method was originally developed by Borg, and Foster et al. created a simple technique to quantify ITL using a modification of this scale. This technique is known as the session RPE (sRPE) and is derived by multiplying the overall RPE obtained at the end of a training session (or match), using the Borg Category-Ratio 10 scale (BORG-CR10) by the total duration (in minutes) of the training session, to provide a modified training impulse (TRIMP) score.
Monitoring training load in beach volleyball players: a case study with an Olympic team
Motriz: Revista de Educação Física, 2018
Describe and compare training load dynamics of two Olympic beach volleyball players. Methods: Two Olympic beach volleyball players participated in this study (specialist defender and blocker: both aged 34 years, holding 14 years of competitive experience, height: 1.74 m and 1.81 m, weight: 69 kg and 65 kg, respectively). Internal training load (ITL), total weekly training load (TWTL), monotony and strain were obtained through the session rating of perceived exertion (session-RPE) for three training mesocycles (10 weeks). Lower limb explosive power was assessed through the counter movement jump (CMJ). Results:
Journal of Strength and Conditioning Research, 2020
, MH. Using the session rating of perceived exertion to quantify training load in a men's college soccer team. J Strength Cond Res 34(10): 2793-2799, 2020-The purpose of this study was to examine the training load (TL) programming of 3 training groups of a National Collegiate Athletic Association Division I men's college soccer team across a season. Thirty athletes were classified as starters (S), substitutes (NS), or redshirts (RS) based on the percentage of possible minutes played during the season. Training load was quantified at the season, phasic, and weekly levels by the session rating of perceived exertion. Between-group differences were observed at the season level (p , 0.001), and group-bytime interactions for average weekly TL were found at both the phasic (p 5 0.04) and weekly levels (p , 0.001). In general, S accumulated greater TL than NS (effect size range for all analyses: 20.59 , d , 1.91) and RS (0.17 , d , 3.67), and NS accumulated greater TL than RS (20.54 , d , 2.34). Within-group variation at the phasic level was less apparent (20.35 , d , 1.44); however, all 3 groups displayed training variation at the weekly level (21.80 , d , 3.24). The session rating of perceived exertion can serve as a low-cost, valid means of quantifying TL in men's college soccer athletes. Practitioners should be especially aware of the possibility of insufficient loading in NS.
Monitoring Training Load and Recovery in Volleyball Players During a Season
Revista Brasileira de Medicina do Esporte
Introduction Monitoring training loads, along with the recovery status, is important for preventing unwanted adaptations. Knowledge of these variables over volleyball seasons is still scarce. Objective To monitor and describe the training load and recovery status of volleyball players over a competitive season. Methods The sample consisted of 14 professional volleyball players. For the entire season, the training load was monitored daily by the SPE method during the session, and the recovery status was monitored by TQR and QBE on the first and last days of training for the week. Results There was a decrease in training load between Preparatory Period I and Competitive Period I (p = 0.03), followed by an increase in Preparatory Period II (p <0.001) and a new decrease in Competitive Periods II (p = 0.01 ) and III (p = 0.003). There was a significant reduction between Pre-TQR and QBE and Post-TQR and QBE in all mesocycles. In the Pre-TQR, there was a reduction between Preparatory Pe...
International Journal of Sports Science & Coaching, 2020
The interaction between external training load (ETL) and players internal response in beach volleyball is currently poor investigated. Using single parameters (e.g. jump volume) described in indoor settings is questionable due to specific load characteristics like sandy ground and reduced number of players. The aim of this work is to analyze ETL and the effects on training response in different beach volleyball training settings. Methods: This study was conducted with 7 youth elite athletes (age: 18.9 AE 1.3 years, height: 185.2 AE 7 cm, body mass: 75.9 AE 10.4 kg, 2 males/5 females). Training sessions were classified into three categories with (A) high session jump volume (SJV) and lower proportions of other action types like diving, reception, defense actions and setting, (B) moderate SJV and (C) low SJV and higher proportions of other action types. Delayed Onset of Muscle Soreness [DOMS], Creatinkinase [CK] and session rate of perceived exertion [s-RPE] were analyzed as training response markers. Results: Mean pre to post differences in CMJ-Height were highest at sessions with high jump volume and less other actions (Session A) with no significant differences between (C) to (B) (p ¼ .128), (C) to (A) (p ¼ .237) and (B) to (A) (p ¼ .101). Response markers (DOMS, s-RPE, CK) showed increased values at session type C. Conclusions: SJV does not seem to trigger training response with higher marker responsiveness during low frequency sessions. Changes in directions, diving or fast getting up might rather provoke fatigue during training.