Monitoring Fatigue During the In-Season Competitive Phase in Elite Soccer Players.

PURPOSE To quantify the relationship between daily training load and a range of potential measures of fatigue in elite soccer players during an in-season competitive phase (17 d). METHODS Total high-intensity-running (THIR) distance, perceived ratings of wellness (fatigue, muscle soreness, sleep quality), countermovement-jump height (CMJ), postexercise heart-rate recovery (HRR), and heart-rate variability (Ln rMSSD) were analyzed during an in-season competitive period (17 d). General linear models were used to evaluate the influence of daily fluctuation in THIR distance on potential fatigue variables. RESULTS Fluctuations in fatigue (r = -.51, large, P < .001), Ln rMSSD (r = -.24, small, P = .04), and CMJ (r = .23, small, P = .04) were significantly correlated with fluctuations in THIR distance. Correlations between variability in muscle soreness, sleep quality, and HRR and THIR distance were negligible and not statistically significant. CONCLUSIONS Perceived ratings of fatigue and Ln rMSSD were sensitive to daily fluctuations in THIR distance in a sample of elite soccer players. Therefore, these particular markers show promise as simple, noninvasive assessments of fatigue status in elite soccer players during a short in-season competitive phase.

[1]  T. Noakes,et al.  Changes in heart rate recovery after high-intensity training in well-trained cyclists , 2009, European Journal of Applied Physiology.

[2]  M. Nimmo,et al.  Fatigue and illness in athletes , 2007, Journal of sports sciences.

[3]  Barry Drust,et al.  Quantification of the physiological loading of one week of “pre-season” and one week of “in-season” training in professional soccer players , 2011, Journal of sports sciences.

[4]  A. Fry,et al.  Prevention, Diagnosis, and Treatment of the Overtraining Syndrome: Joint Consensus Statement of the European College of Sport Science and the American College of Sports Medicine , 2012 .

[5]  D. Meyer,et al.  Perceptions of Wellness to Monitor Adaptive Responses to Training and Competition in Elite Australian Football , 2013, Journal of strength and conditioning research.

[6]  Mark Waldron,et al.  Concurrent validity and test–retest reliability of a global positioning system (GPS) and timing gates to assess sprint performance variables , 2011, Journal of sports sciences.

[7]  Andrew E. Kilding,et al.  Heart rate variability in elite triathletes, is variation in variability the key to effective training? A case comparison , 2012, European Journal of Applied Physiology.

[8]  S. Ahmaidi,et al.  Supramaximal training and postexercise parasympathetic reactivation in adolescents. , 2008, Medicine and science in sports and exercise.

[9]  A. Barnett,et al.  Using Recovery Modalities between Training Sessions in Elite Athletes , 2006, Sports medicine.

[10]  Carlo Castagna,et al.  Dose-response relationship of autonomic nervous system responses to individualized training impulse in marathon runners. , 2009, American journal of physiology. Heart and circulatory physiology.

[11]  A. Leicht,et al.  Effect of a Training Week on Heart Rate Variability in Elite Youth Rugby League Players , 2013, International Journal of Sports Medicine.

[12]  W. Hopkins,et al.  Are there useful physiological or psychological markers for monitoring overload training in elite rowers? , 2011, International journal of sports physiology and performance.

[13]  P. Krustrup,et al.  Physical and metabolic demands of training and match-play in the elite football player , 2006, Journal of sports sciences.

[14]  Geir Jordet,et al.  Coaches' and players' perceptions of training dose: not a perfect match. , 2014, International journal of sports physiology and performance.

[15]  Stuart J. Cormack,et al.  Neuromuscular and endocrine responses of elite players to an Australian rules football match. , 2008, International journal of sports physiology and performance.

[16]  Matthew C. Varley,et al.  Validity and reliability of GPS for measuring instantaneous velocity during acceleration, deceleration, and constant motion , 2012, Journal of sports sciences.

[17]  D Chollet,et al.  Reliability of Resting and Postexercise Heart Rate Measures , 2011, International journal of sports medicine.

[18]  S L Hooper,et al.  Markers for monitoring overtraining and recovery. , 1995, Medicine and science in sports and exercise.

[19]  M. Buchheit.  Monitoring training status with HR measures: do all roads lead to Rome? , 2014, Front. Physiol..

[20]  T D Noakes,et al.  Heart rate recovery as a guide to monitor fatigue and predict changes in performance parameters , 2009, Scandinavian journal of medicine & science in sports.

[21]  G Atkinson,et al.  Monitoring Training in Elite Soccer Players: Systematic Bias between Running Speed and Metabolic Power Data , 2013, International Journal of Sports Medicine.

[22]  W G Hopkins,et al.  Warm-up with a weighted vest improves running performance via leg stiffness and running economy. , 2015, Journal of science and medicine in sport.

[23]  Aaron J. Coutts,et al.  Validity and reliability of GPS devices for measuring movement demands of team sports. , 2010, Journal of science and medicine in sport.

[24]  Alan McCall,et al.  Recovery in Soccer , 2012, Sports Medicine.

[25]  T. Reilly,et al.  Exercise and the Circadian Variation in Body Temperature Measures , 1986, International journal of sports medicine.

[26]  David L. Cassell,et al.  Stopping stepwise: Why stepwise and similar selection methods are bad, and what you should use , 2007 .

[27]  Grant Abt,et al.  The use of individualized speed and intensity thresholds for determining the distance run at high-intensity in professional soccer , 2009, Journal of sports sciences.

[28]  Robert P Freckleton,et al.  Why do we still use stepwise modelling in ecology and behaviour? , 2006, The Journal of animal ecology.

[29]  A. Coutts,et al.  Monitoring fitness, fatigue and running performance during a pre-season training camp in elite football players. , 2013, Journal of science and medicine in sport.

[30]  Franco M Impellizzeri,et al.  Use of RPE-based training load in soccer. , 2004, Medicine and science in sports and exercise.

[31]  A. Ascensão,et al.  Biochemical impact of soccer: an analysis of hormonal, muscle damage, and redox markers during the season. , 2014, Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme.

[32]  Aaron J Coutts,et al.  Variability of GPS units for measuring distance in team sport movements. , 2010, International journal of sports physiology and performance.

[33]  J M Bland,et al.  Statistical methods for assessing agreement between two methods of clinical measurement , 1986 .

[34]  A. La Torre,et al.  Heart Rate Variability Reflects Training Load and Psychophysiological Status in Young Elite Gymnasts , 2013, Journal of strength and conditioning research.

[35]  W G Hopkins,et al.  Measures of Reliability in Sports Medicine and Science , 2000, Sports medicine.

[36]  Barry Drust,et al.  Seasonal training-load quantification in elite English premier league soccer players. , 2015, International journal of sports physiology and performance.

[37]  Andrew E. Kilding,et al.  Training Adaptation and Heart Rate Variability in Elite Endurance Athletes: Opening the Door to Effective Monitoring , 2013, Sports Medicine.