Seasonal player wellness and its longitudinal association with internal training load: study in elite volleyball

Clemente, Filipe Manuel; Mendes, Bruno; Palao, José Manuel; Silvério, André; Carriço, Sandro; Calvete, Francisco; Nakamura, Fábio Yuzo

doi:10.23736/s0022-4707.18.08312-3

Cited by 34 publications

(64 citation statements)

References 28 publications

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“…Therefore, due to the high intensity of the final games of the end-season as well as maintaining the position and trying to be the main player at the early-season, it may have affected the quality of sleep and subsequently the stress of the players. On the other hand, a similar result that we encountered in the current study is that sleep and stress fluctuations in mid-seasons were less than in the early-and end-season, as in a study on elite volleyball players the amount of stress level in mid-season was less, which showed that the professional level of the players caused them to have better control over their mental state (Clemente et al, 2019c).…”

Section: Discussionsupporting

confidence: 87%

“…Each analysis provides different perspectives about the effective stimulus that is perceived by each athlete. These protocols provide helpful information to handle injury prevention programs (Clemente et al, 2019c;Nobari et al, 2020b). Therefore, this study has three aims: (1) to describe the weekly patterns (within-week comparisons) of well-being across the season with the HQ in terms of weekly fatigue, weekly stress, weekly sleep, and weekly DOMS in elite youth soccer players, (2) to analyze the differences of well-being variables between early-, mid-, and end-season periods, and (3) to compare the well-being variables for playing positions in different moments of the season.…”

Section: Introductionmentioning

confidence: 99%

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Intra- and Inter-week Variations of Well-Being Across a Season: A Cohort Study in Elite Youth Male Soccer Players

et al. 2021

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This study describes the weekly variations of well-being ratings relative to fatigue (wFatigue), stress (wStress), delayed-onset muscle soreness (wDOMS), sleep quality (wSleep), and Hooper questionnaire (wHQ) throughout the season. In addition, the well-being variables for the playing position in different moments of the season were discussed. Twenty-one elite young soccer players U17 took part in this study. From the beginning of the pre-season, well-being status was monitored daily by the HQ method throughout 36 weeks, including four periods: (1) pre-season, (2) early-season, (3) mid-season, and (4) end-season. Players trained at least 3 times per week throughout the season. The main outcome was that, in weeks 33 and 28, the highest [wFatigue: 15.85 ± 3.38 arbitrary units (AU); wHQ: 48.86 ± 9.23 AU] and the lowest (wFatigue: 5.38 ± 1.88 AU; wHQ: 20.43 ± 5.49 AU) wFatigue and wHQ occurred, respectively, although the lowest level of wDOMS happened in week 28 (4.86 ± 2.15 AU), while the highest wDOMS was observed in week 5 (14.65 ± 4.16 AU). The highest wSleep (13.00 ± 2.12 AU) and wStress (11.65 ± 2.92 AU) were observed in weeks 8 and 34, respectively, while the lowest wSleep (5.81 ± 2.29 AU) and wStress (3.76 ± 0.94 AU) were marked in week 29 coincidentally. In the HQ between every weekday, except recovery day, and the day of the match (MD), considerable highest HQ was only revealed in 2 days after MD in contrast to overall team comparison. In the present study, we observed that the well-being changes between different phases of the season as well as between weeks and days of the week with the MD are significant. These results provide a great point of view for coaches and practitioners about well-being variations over a season in elite youth soccer level. As a result, coaches will be more aware about non-functional overreaching and taking measures to prevent it.

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Section: Discussionsupporting

confidence: 87%

Section: Introductionmentioning

confidence: 99%

Intra- and Inter-week Variations of Well-Being Across a Season: A Cohort Study in Elite Youth Male Soccer Players

et al. 2021

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“…Few studies have compared external and internal load in elite volleyball players. However, some studies have demonstrated that assessing repeated-effort ability in volleyball players can help to characterize the training processes of teams and the players' acute and chronic responses while guaranteeing that athletes recover quickly [19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

External and internal Load and their Effects on Professional Volleyball Training

et al. 2020

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The purpose of this study was twofold: (i) characterize the external and internal training load of professional volleyball players with a focus on intra-week changes and (ii) test the relationships between internal and external load measures. Eight male professional players (age: 23.0±5.22 yo; body mass: 84.5 ± 7.58 kg; height: 193.0±9.71 cm; BMI: 22.0±0.02 kg/m2) were monitored daily over 15 weeks. The monitoring process included both internal (rate of perceived exertion [RPE] and session-RPE [s-RPE]) and external load variables, which were measured by an inertial measurement unit. Results revealed that, within-week variations revealed that RPE was significantly higher during MD-2 (d=0.59) and MD-3 (d=0.56) than MD-1. A significantly higher number of jumps was observed on MD-2 than MD-1 (d=0.69). Considering the relationships between internal and external load measures, small positive correlations were found between RPE and the number of jumps (r=0.17) and between s-RPE and the number of jumps (r=0.49). In conclusion, a tapering strategy was observed on the day before a match, as internal and external loads decreased. Both internal and external load measures are necessary to provide an accurate perception of the impact of training stimuli on players.

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“…8,9 The reduced number of players and larger area to cover increase the individual stress level during training and competition compared to regular volleyball settings. 10,7 In order to monitor internal training response, different markers (session rate of perceived exertion [s-RPE], Delayed onset of muscle soreness [DOMS] and creatinkinase [CK]) were analyzed for indoor volleyball 8,11,12 but only one work evaluated elite beach volleyball players. 7 The authors identified different levels of s-RPE among blockers and defenders and between different mesocycles within a 10 week observation in a case study of 2 elite players.…”

Section: Introductionmentioning

confidence: 99%

External training load and the effects on training response following three different training sessions in young elite beach volleyball players

Pelzer

Schmidt

Jaitner

et al. 2020

International Journal of Sports Science & Coaching

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Purpose 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 ± 1.3 years, height: 185.2 ± 7 cm, body mass: 75.9 ± 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 = .128), (C) to (A) ( p = .237) and (B) to (A) ( p = .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.

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Seasonal player wellness and its longitudinal association with internal training load: study in elite volleyball

Cited by 34 publications

References 28 publications

Intra- and Inter-week Variations of Well-Being Across a Season: A Cohort Study in Elite Youth Male Soccer Players

Intra- and Inter-week Variations of Well-Being Across a Season: A Cohort Study in Elite Youth Male Soccer Players

External and internal Load and their Effects on Professional Volleyball Training

External training load and the effects on training response following three different training sessions in young elite beach volleyball players

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