Countermovement Jump Performance Is Not Affected During an In-Season Training Microcycle in Elite Youth Soccer Players

Malone, James J.; Murtagh, Conall F.; Morgans, Ryland; Burgess, Darren J.; Morton, James P.; Drust, Barry

doi:10.1519/jsc.0000000000000701

Cited by 43 publications

(59 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…35,36 However, in the current study, a nonsignificant trivial to small relationship was found between changes in CMJ height and total high-speedrunning distance accumulation over 2 to 4 days. Collectively, the findings from the current study and those from earlier investigations, 9,37 demonstrate that CMJ height is generally insensitive to acute changes in workload in elite soccer players. CMJ height alone may be too crude of a measure to detect changes in training load, however, alternative CMJ derived neuromuscular parameters may hold sensitivity to alterations in load irrespective of the limited change in CMJ height.…”

Section: Discussionsupporting

confidence: 73%

The Influence of Changes in Acute Training Load on Daily Sensitivity of Morning-Measured Fatigue Variables in Elite Soccer Players

Thorpe¹,

Strudwick²,

Buchheit³

et al. 2017

International Journal of Sports Physiology and Performance

Self Cite

104

View full text Add to dashboard Cite

Purpose:To determine the sensitivity of a range of potential fatigue measures to daily training load accumulated over the previous 2, 3, and 4 d during a short in-season competitive period in elite senior soccer players (N = 10). Methods: Total highspeed-running distance, perceived ratings of wellness (fatigue, muscle soreness, sleep quality), countermovement-jump height (CMJ), submaximal heart rate (HRex), postexercise heart-rate recovery (HRR), and heart-rate variability (HRV: Ln rMSSD) were analyzed during an in-season competitive period (17 d). General linear models were used to evaluate the influence of 2-, 3-, and 4-d total high-speed-running-distance accumulation on fatigue measures. Results: Fluctuations in perceived ratings of fatigue were correlated with fluctuations in total high-speed-running-distance accumulation covered on the previous 2 d (r = -.31; small), 3 d (r = -.42; moderate), and 4 d (r = -.28; small) (P < .05). Changes in HRex (r = .28; small; P = .02) were correlated with changes in 4-d total high-speed-running-distance accumulation only. Correlations between variability in muscle soreness, sleep quality, CMJ, HRR%, and HRV and total high-speed-running distance were negligible and not statistically significant for all accumulation training loads. Conclusions: Perceived ratings of fatigue and HRex were sensitive to fluctuations in acute total high-speed-running-distance accumulation, although sensitivity was not systematically influenced by the number of previous days over which the training load was accumulated. The present findings indicate that the sensitivity of morning-measured fatigue variables to changes in training load is generally not improved when compared with training loads beyond the previous day's training. Keywords: training, performance, wellness, recoveryThe locomotor demands of elite soccer have progressively increased in recent years. 1,2 Since leading teams are also required to compete in a high number of matches over the course of season, 3 implementation of effective recovery strategies are paramount to avoid the debilitating effects associated with overtraining and injury. 4 Increasing attention in the literature has therefore focused on evaluating the effectiveness of a range of monitoring tools that may serve as valid indicators of fatigue status of athletes. 5 For the purpose of this manuscript, fatigue will be defined as an inability to complete a task that was once achievable within a recent time frame. 6 Recent research has examined the sensitivity of potential measures of fatigue to daily fluctuations in training load in Australian Rules Football (AFL). 7,8 In AFL players, perceived ratings of wellness, 7,8 submaximal heart rate (HRex), 7 and an index (LnSD1) of vagal-related heart-rate variability (HRV) 7 were sensitive to the fluctuations in daily training load during a preseason training period. Similarly, in elite soccer players competing in the English Premier League (EPL), 9 both rating of perceived fatigue and vagal related HRV measure Ln rMSSD were mo...

show abstract

Section: Discussionsupporting

confidence: 73%

The Influence of Changes in Acute Training Load on Daily Sensitivity of Morning-Measured Fatigue Variables in Elite Soccer Players

Thorpe¹,

Strudwick²,

Buchheit³

et al. 2017

International Journal of Sports Physiology and Performance

Self Cite

104

View full text Add to dashboard Cite

show abstract

“…The aim would be, on the one hand, to avoid players being fatigued on match day, and on the other hand, to increase the status of training among players, optimizing physical fitness and thus being able to give maximum performance on competition day. Previous studies (Impellizzeri et al, 2005; McLean et al, 2010; Nédélec et al, 2012b; Casamichana et al, 2013; Gastin et al, 2013; Gaudino et al, 2013; Colby et al, 2014; Los Arcos et al, 2014a; Henderson et al, 2015; Malone et al, 2015; Thorpe et al, 2015; Akenhead et al, 2016; Gabbett, 2016; Gabbett et al, 2016) have analyzed the load placed on players in training and matches, but none have compared the load accumulated by the players in a training microcycle normalized to the physical demands of competition, despite being a practice used by elite teams as a means of training status (Akenhead and Nassis, 2016). …”

Section: Discussionmentioning

confidence: 99%

“…The protocol followed is similar to that of Malone et al (2015). Prior to the test the players did a standard warm up including a 5 min low speed run with dynamic exercises and two 20 m progressions followed by three repeats of the jump.…”

Section: Methodsmentioning

confidence: 99%

“…There is currently (Gastin et al, 2013) widespread use of different methods (objective and/or subjective) to assess fatigue. To this effect, the procedure used repeatedly to objectively assess fatigue is a variety of vertical jumps, such as the countermovement jump test (CMJ) (McLean et al, 2010; Malone et al, 2015; Thorpe et al, 2015). Alternatively, subjective assessments of fatigue are done using questionnaires such as that of Hopper (Hooper and Mackinnon, 1995), variables associated to Wellness (Thorpe et al, 2016a), Total Quality Recovery Scale (TQR) (Kentta and Hassmen, 1998), The Profile of Mood State (McNair et al, 1971).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Absolute and Relative Training Load and Its Relation to Fatigue in Football

et al. 2017

View full text Add to dashboard Cite

The aim of the study was to assess the relationship of external and internal training load (TL) indicators with the objective and subjective fatigue experienced by 15 semi-professional football players, over eight complete weeks of the competition period in the 2015–2016 season, which covered microcycles from 34th to 41st. The maximum heart rate (HRmax) and maximum speed (Vmax) of all the players were previously measured in specific tests. The TL was monitored via questionnaires on rating of perceived exertion (RPE), pulsometers and GPS devices, registering the variables: total distance (TD), player load 2D (PL2D), TD at >80% of the Vmax (TD80), TD in deceleration at < -2 m⋅sec-2 (TDD <-2), TD in acceleration >2 m⋅sec-2 (TDA >2), Edwards (ED), time spent at between 50 and 80% (50–80% HRmax), 80–90% (80–90% HRmax), and >90% of the HRmax (>90% HRmax), and RPE both respiratory/thoracic (RPEres) and leg/muscular (RPEmus). All the variables were analyzed taking into account both the absolute values accumulated over the week and the normalized values in relation to individual mean competition values. Neuromuscular fatigue was measured objectively using the countermovement jump test and subjectively via the Total Quality Recovery (TQR) scale questionnaire. Analytical correlation techniques were later applied within the general linear model. There is a correlation between the fatigue experienced by the player, assessed objectively and subjectively, and the load accumulated over the week, this being assessed in absolute and relative terms. Specifically, the load relative to competition correlated with the physical variables TD (-0.279), PL2D (-0.272), TDD < -2 (-0.294), TDA >2 (-0.309), and sRPEmus (-0.287). The variables related to heart rate produced a higher correlation with TQR. There is a correlation between objectively and subjectively assessed fatigue and the accumulated TL of a player over the week, with a higher sensitivity being shown when compared to the values related to the demands of competition. Monitoring load and assessing fatigue, we are closer to knowing what the prescription of an adequate dose of training should be in order for a player to be as fresh as possible and in top condition for a match. Normalizing training demands with respect to competition could be an appropriate strategy for individualizing player TL.

show abstract

“…CMJ was not sensitive as a measure of neuromuscular status in EPL players when analyzed alongside daily fluctuations in training load, furthermore, data derived from elite rugby sevens and adolescent soccer players revealed no change in countermovement jump height or correlation to training load during a taper and across a training period respectively. [48][49][50] The use of jump height per se as a global indicator of neuromuscular function may lack the sensitivity to detect changes in training load in previous studies. Moreover, CMJ height alone may mask alternative neuromuscular measures and their sensitivity to alterations in load.…”

Section: Neuromuscular Functionmentioning

confidence: 99%

Monitoring Fatigue Status in Elite Team-Sport Athletes: Implications for Practice

Thorpe¹,

Atkinson²,

Drust³

et al. 2017

International Journal of Sports Physiology and Performance

Self Cite

203

216

View full text Add to dashboard Cite

The increase in competition demands in elite team sports over recent years has prompted much attention from researchers and practitioners to the monitoring of adaptation and fatigue in athletes. Monitoring fatigue and gaining an understanding of athlete status may also provide insights and beneficial information pertaining to player availability, injury, and illness risk. Traditional methods used to quantify recovery and fatigue in team sports, such as maximal physical-performance assessments, may not be feasible to detect variations in fatigue status throughout competitive periods. Faster, simpler, and nonexhaustive tests such as athlete self-report measures, autonomic nervous system response via heart-rate-derived indices, and to a lesser extent, jump protocols may serve as promising tools to quantify and establish fatigue status in elite team-sport athletes. The robust rationalization and precise detection of a meaningful fluctuation in these measures are of paramount importance for practitioners working alongside athletes and coaches on a daily basis. There are various methods for arriving at a minimal clinically important difference, but these have been rarely adopted by sport scientists and practitioners. The implementation of appropriate, reliable, and sensitive measures of fatigue can provide important information to key stakeholders in team-sport environments. Future research is required to investigate the sensitivity of these tools to fundamental indicators such as performance, injury, and illness.Keywords: training, performance, wellness, recovery, injury, illness Elite team-sport athletes, particularly those in the professional football codes, are exposed to high competition loads, particularly in recent years. These high loads reflect a number of factors, including an increased frequency of domestic competitions, particularly for higher-level athletes, as well as a higher intensity of competition due to enhanced player preparation strategies. 1 Higher loads may also result from the increased demands of international competition during both the domestic season and the off-season period.An increased availability of athletes for selection, as a result of a reduction in injuries, substantially increases a team's chance of success. 2 Therefore, injury prevention strategies are fundamental to the work of the athlete's support team. Routine modifications in training load (frequency, duration, intensity) occur during the training cycle and these subsequently increase or decrease fatigue. Management of fatigue is important in mediating adaption to training and ensuring the athlete is prepared for competition, 3 as well as for reducing the athletes' susceptibility to nonfunctional overreaching, injury, and illness. 4 The importance of managing athlete fatigue has led to an increase in interest in monitoring athlete loads, particularly in terms of the measures which may offer insights into whether the athlete is adapting positively or negatively to the collective stresses of training and competition. In the pr...

show abstract

Countermovement Jump Performance Is Not Affected During an In-Season Training Microcycle in Elite Youth Soccer Players

Cited by 43 publications

References 18 publications

The Influence of Changes in Acute Training Load on Daily Sensitivity of Morning-Measured Fatigue Variables in Elite Soccer Players

The Influence of Changes in Acute Training Load on Daily Sensitivity of Morning-Measured Fatigue Variables in Elite Soccer Players

Absolute and Relative Training Load and Its Relation to Fatigue in Football

Monitoring Fatigue Status in Elite Team-Sport Athletes: Implications for Practice

Contact Info

Product

Resources

About