Monitoring fitness, fatigue and running performance during a pre-season training camp in elite football players

Buchheit, Martin; Racinais, Sébastien; Bilsborough, Johann C.; Bourdon, Pitre C.; Voss, Sven Christian; Hocking, Joel; Cordy, Justin; Méndez-Villanueva, Alberto; Coutts, Aaron J.

doi:10.1016/j.jsams.2012.12.003

Cited by 265 publications

(357 citation statements)

References 25 publications

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“…6 However, any effect of training and match load on DOMS and sleep quality, in particular the effects of match-play may materialise over a number of days rather than immediately following the session. 25 Collectively, previous observations examining daily sensitivity in elite soccer 6 and Australian Rules players 4,5 combined with the present findings suggest that attempts to fully examine the sensitivity of potential markers of fatigue to changes in training and match load should be undertaken over both acute (daily) and extended periods of time.…”

Section: Discussionsupporting

confidence: 65%

“…These indicators include heart rate derived indices, 2 salivary hormones, neuromuscular indices 3 and perceived wellness ratings. [4][5][6] A valid marker of fatigue should be sensitive to variability in training load. 7 Researchers have therefore examined the sensitivity of potential measures of fatigue to daily fluctuations in training load in elite team sport athletes.…”

Section: Introductionmentioning

confidence: 99%

“…7 Researchers have therefore examined the sensitivity of potential measures of fatigue to daily fluctuations in training load in elite team sport athletes. [4][5][6] For example, in both elite Australian Rules Football 4 and elite soccer 6 players, small to large and statistically significant correlations were reported between fluctuations in daily training load and changes in both perceived ratings of wellness and vagal-related heart rate variability indices. These findings suggest that such measures show particular promise as acute, simple, non-invasive assessments of fatigue status in elite team sport athletes.…”

Section: Introductionmentioning

confidence: 99%

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Tracking Morning Fatigue Status Across In-Season Training Weeks in Elite Soccer Players

Thorpe

Strudwick

Buchheit

et al. 2016

International Journal of Sports Physiology and Performance

128

121

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Purpose: To quantify the mean daily changes in training and match load and any parallel changes in indicators of morning-measured fatigue across in-season training weeks in elite soccer players. Methods: Following each training session and match, ratings of perceived exertion (s-RPE) were recorded to calculate overall session load (RPE-TL) in 29 English Premier League players from the same team. Morning ratings of fatigue, sleep quality, delayed-onset muscle soreness (DOMS), as well as sub-maximal exercise heart rate (HRex), post-exercise heart rate recovery (HRR%) and variability (HRV) were also recorded prematch day and one, two and four days post-match. Data were collected for a median duration of 3 weeks (range:1-13) and reduced to a typical weekly cycle including no mid-week match and a weekend match day. Data were analysed using within-subjects linear mixed models.Results: RPE-TL was approximately 600 AU (95%CI: 546-644) higher on match-day vs the following day (P<0.001). RPE-TL progressively decreased by ≈ 60 AU per day over the 3 days prior to a match (P<0.05). Morning-measured fatigue, sleep quality and DOMS tracked the changes in RPE-TL, being 35-40% worse on post-match day vs pre-match day (P<0.001).Perceived fatigue, sleep quality and DOMS improved by 17-26% from post-match day to three days post-match with further smaller (7-14%) improvements occurring between four days post-match and pre-match day (P<0.01). There were no substantial or statistically significant changes in HRex, HRR% and HRV over the weekly cycle (P>0.05). Conclusions:Morning-measured ratings of fatigue, sleep quality and DOMS are clearly more sensitive than HR-derived indices to the daily fluctuations in session load experienced by elite soccer players within a standard in-season week.

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Section: Discussionsupporting

confidence: 65%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Tracking Morning Fatigue Status Across In-Season Training Weeks in Elite Soccer Players

Thorpe

Strudwick

Buchheit

et al. 2016

International Journal of Sports Physiology and Performance

128

121

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“…Using this tool, it is possible to monitor these five characteristics of wellness individually, and also to examine overall wellbeing by summing the five scores [34]. Research using this questionnaire in team sport athletes has shown it to be sensitive to subtle daily changes in training load [35], and to corroborate neuromuscular and muscle damage responses during intensified periods of competition [36]. As previously discussed regarding sRPE load assessment, using this (or similar) questionnaires to monitor how athletes are responding to resistance training sessions allows direct comparisons with other types of training, making data analysis and reporting more simple.…”

Section: Srpe Methodsmentioning

confidence: 99%

Training Monitoring for Resistance Exercise: Theory and Applications

et al. 2016

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Key Points• To quantify resistance exercise, it is important to understand the numerous factors contributing to the overall intensity of training, rather than simply the relative load being lifted.• Methods to monitor the external volume load, perceptual training intensity, subjective wellness, and physical performance during resistance exercise all appear useful methods for monitoring resistance training.• Strength coaches should identify which monitoring tools are applicable and viable for their athletes, and should take an integrative approach to resistance training monitoring to help inform their practice.3 AbstractResistance exercise is difficult to quantify due to its inherent complexity with numerous training variables contributing to the training dose (type of exercise, load lifted, training volume, inter-set rest periods and repetition velocity). In addition, the intensity of resistance training is often inadequately determined as the relative load lifted (% 1-repetition maximum), which does not account for the effects of inter-set recovery periods, repetition velocity, or the number of repetitions performed in each set at a given load. Methods to calculate the volume load associated with resistance training, as well as the perceived intensity of individual sets and entire training sessions have been shown to provide useful information regarding the actual training stimulus. In addition, questionnaires to subjectively assess how athletes are coping with the stressors of training and portable technologies to quantify performance variables such as concentric velocity may also be valuable. However, while several methods have been proposed to quantify resistance training, there is not yet consensus regarding how these methods can be best implemented and integrated to complement each other. Therefore, the purpose of this review is to provide practical information for strength coaches to highlight effective methods to assess resistance training, and how they can be integrated into a comprehensive monitoring program.4

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“…A major challenge in sport is to appropriately prescribe training loads (TL) in order to maximize athletes' physical performance while avoiding overtraining and/or injury, during the competitive season (8,22,45). A general consensus is that appropriate periodization is a key factor in achieving optimal performance outcomes (23,40,45).…”

Section: Introductionmentioning

confidence: 99%

Monitoring Training Loads in Professional Basketball Players Engaged in a Periodized Training Program

Aoki

Ronda

Marcelino

et al. 2017

Journal of Strength and Conditioning Research

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The aims of this study were to investigate the dynamics of external (eTL) and internal (iTL) training loads during seasonal periods and examine the effect of a periodized training programme on physical performance in professional basketball players.Repeated measures for 9 players (28±6 yr; 199±8 cm; 101±12 kg) were collected from 45 training sessions, over a 6-wk pre-season phase and a 5-wk in-season phase.Physical tests were conducted at baseline (T1), week 4 (T2) and week 9 (T3).Differences in means are presented as % ± Confident Limits (CL). A very likely difference was observed during in-season compared to pre-season for the eTL variables measured by GPS: mechanical load (13.5±8.8) and peak acceleration .

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Monitoring fitness, fatigue and running performance during a pre-season training camp in elite football players

Cited by 265 publications

References 25 publications

Tracking Morning Fatigue Status Across In-Season Training Weeks in Elite Soccer Players

Tracking Morning Fatigue Status Across In-Season Training Weeks in Elite Soccer Players

Training Monitoring for Resistance Exercise: Theory and Applications

Monitoring Training Loads in Professional Basketball Players Engaged in a Periodized Training Program

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