Recovery During a Congested Schedule and Injury in Professional Football

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Benoit Delaval Laboratory of Exercise Physiology and Rehabilitation, University of Picardie Jules Verne, Amiens, France

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Abd-Elbasset Abaïdia Laboratory of Exercise Physiology and Rehabilitation, University of Picardie Jules Verne, Amiens, France

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Barthélémy Delecroix Multidisciplinary Sport, Health, Society Research Unit, University of Lille Nord de France, Artois University, University of the Littoral Opal Coast, Lille, France

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Franck Le Gall Multidisciplinary Sport, Health, Society Research Unit, University of Lille Nord de France, Artois University, University of the Littoral Opal Coast, Lille, France

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Alan McCall Research & Development Department, Edinburgh Napier University, Edinburgh, United Kingdom

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Said Ahmaidi Laboratory of Exercise Physiology and Rehabilitation, University of Picardie Jules Verne, Amiens, France

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Gregory Dupont Research Institute for Sport and Exercise Sciences (RISES), Liverpool John Moores University, Liverpool, United Kingdom

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Purpose: To analyze the relationships between the recovery kinetics experienced by professional football players and noncontact injury. Methods: A cohort of 46 professional football players (age 24.2 [4.7] y) from the same team (French Ligue 1) was monitored each day between matches when the team played twice a week. The recovery monitoring procedure was implemented after 38 matches and included some questionnaires: duration of sleep, Hooper scale (quality of sleep, level of stress, fatigue, and muscle soreness), perceived recovery status scale, creatine kinase concentrations, a countermovement jump, and an isometric force test. Noncontact injuries were collected during these periods. Results: Noncontact injuries were associated with perceived fatigue and muscle soreness 2 days (relative risk [RR] = 1.89 and 1.48, respectively) and 3 days following the matches (RR = 2.08 and 2.08, respectively). An increase of sleep quantity during the 2 nights following a match was significantly associated with a lower RR (RR = 0.65), as well as a lower decrement score on the isometric force test on each of the 3 days after the matches (RR = 0.97, RR = 0.99, and RR = 0.97, respectively). No other association was reported for the variables sleep quality, stress, perceived recovery, creatine kinase concentrations, countermovement jump, and noncontact injuries. Conclusion: During a congested schedule, implementing a recovery monitoring protocol including questionnaires about fatigue, muscle soreness, quantity of sleep, and a physical test of isometric force could help practitioners prevent injuries.

Delaval (benoit.delaval@gmail.com) is corresponding author.

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  • 1.

    Julian R, Page RM, Harper LD. The effect of fixture congestion on performance during professional male soccer match-play: a systematic critical review with meta-analysis. Sports Med. 2021;51(2):255273. doi:10.1007/s40279-020-01359-9

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 2.

    Dellal A, Lago-Peñas C, Rey E, et al. The effects of a congested fixture period on physical performance, technical activity and injury rate during matches in a professional soccer team. Br J Sports Med. 2015;49(6):390394. PubMed ID: 23422422 doi:10.1136/bjsports-2012-091290

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 3.

    Dupont G, Nedelec M, McCall A, McCormack D, Berthoin S, Wisloff U. Effect of 2 soccer matches in a week on physical performance and injury rate. Am J Sports Med. 2010;38(9):17521758. PubMed ID: 20400751 doi:10.1177/0363546510361236

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 4.

    Bengtsson H, Ekstrand J, Hägglund M. Muscle injury rates in professional football increase with fixture congestion: an 11-year follow-up of the UEFA Champions League injury study. Br J Sports Med. 2013;47(12):743747. PubMed ID: 23851296 doi:10.1136/bjsports-2013-092383

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 5.

    McCall A, Carling C, Davison M, et al. Injury risk factors, screening tests and preventative strategies: a systematic review of the evidence that underpins the perceptions and practices of 44 football (soccer) teams from various premier leagues. Br J Sports Med. 2015;49(9):583589. PubMed ID: 25576530 doi:10.1136/bjsports-2014-094104

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 6.

    McCall A, Carling C, Nedelec M, et al. Risk factors, testing and preventative strategies for non-contact injuries in professional football: current perceptions and practices of 44 teams from various premier leagues. Br J Sports Med. 2014;48(18):13521357. PubMed ID: 24837243 doi:10.1136/bjsports-2014-093439

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 7.

    Harbour R, Miller J. A new system for grading recommendations in evidence based guidelines. BMJ. 2001;323:334336. PubMed ID: 11498496 doi:10.1136/bmj.323.7308.334

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 8.

    Ekstrand J, Hagglund M, Walden M. Injury incidence and injury patterns in professional football: the UEFA injury study. Br J Sports Med. 2011;45(7):553558. PubMed ID: 19553225 doi:10.1136/bjsm.2009.060582

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 9.

    Small K, McNaughton L, Greig M, Lovell R. The effects of multidirectional soccer-specific fatigue on markers of hamstring injury risk. J Sci Med Sport. 2010;13:120125. PubMed ID: 18976956 doi:10.1016/j.jsams.2008.08.005

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 10.

    Lovell R, Midgley A, Barrett S, Carter D, Small K. Effects of different half-time strategies on second half soccer-specific speed, power and dynamic strength. Scand J Med Sci Sports. 2013;23(1):105113. PubMed ID: 21812822 doi:10.1111/j.1600-0838.2011.01353.x

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 11.

    Marshall PW, Lovell R, Jeppesen GK, Andersen K, Siegler JC. Hamstring muscle fatigue and central motor output during a simulated soccer match. PLoS One. 2014;9(7):e102753. PubMed ID: 25047547 doi:10.1371/journal.pone.0102753.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 12.

    Bowen L, Gross AS, Gimpel M, Li FX. Accumulated workloads and the acute:chronic workload ratio relate to injury risk in elite youth football players. Br J Sports Med. 2017;51(5):452459. PubMed ID: 27450360 doi:10.1136/bjsports-2015-095820

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 13.

    Nédélec M, McCall A, Carling C, Legall F, Berthoin S, Dupont G. Recovery in soccer: part I—post-match fatigue and time course of recovery. Sports Med. 2012;42(12):9971015. PubMed ID: 23046224 doi:10.2165/11635270-000000000-00000

    • Search Google Scholar
    • Export Citation
  • 14.

    Carling C, Lacome M, McCall A, et al. Monitoring of post-match fatigue in professional soccer: welcome to the real world. Sports Med. 2018;48(12):26952702. PubMed ID: 29740792 doi:10.1007/s40279-018-0935-z

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 15.

    Nédélec M, McCall A, Carling C, Legall F, Berthoin S, Dupont G. Recovery in soccer: part II-recovery strategies. Sports Med. 2013;43(1):922. PubMed ID: 23315753 doi:10.1007/s40279-012-0002-0

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 16.

    Foster C. Monitoring training in athletes with reference to overtraining syndrome. Med Sci Sports Exerc. 1998;30(7):11641168. PubMed ID: 9662690 doi:10.1097/00005768-199807000-00023

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 17.

    Hooper SL, Mackinnon LT, Howard A, Gordon RD, Bachmann AW. Markers for monitoring overtraining and recovery. Med Sci Sports Exerc. 1995;27(1):106112. PubMed ID: 7898325

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 18.

    Laurent CM, Green JM, Bishop PA, et al. A practical approach to monitoring recovery: development of a perceived recovery status scale. J Strength Cond Res. 2011;25(3):620628. PubMed ID: 20581704 doi:10.1519/JSC.0b013e3181c69ec6

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 19.

    Howatson G, Milak A. Exercise-induced muscle damage following a bout of sport specific repeated sprints. J Strength Cond Res. 2009;23(8):24192424. PubMed ID: 19826279 doi:10.1519/JSC.0b013e3181bac52e

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 20.

    McCall A, Nedelec M, Carling C, Le Gall F, Berthoin S, Dupont G. Reliability and sensitivity of a simple isometric posterior lower limb muscle test in professional football players. J Sports Sci. 2015;33(12):12981304. PubMed ID: 25845799 doi:10.1080/02640414.2015.1022579

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 21.

    Fuller CW, Ekstrand J, Junge A, et al. Consensus statement on injury definitions and data collection procedures in studies of football (soccer) injuries. Br J Sports Med. 2006;40:193201. PubMed ID: 16505073 doi:10.1097/00042752-200603000-00003

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 22.

    Colby M, Dawson B, Heasman J, Rogalski B, Gabbett J. Accelerometer and GPS derived running loads and injury risk in elite Australian footballers. J Strength Cond Res. 2014;28(8):22442252. PubMed ID: 25054573 doi:10.1519/JSC.0000000000000362

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 23.

    Stares J, Dawson B, Peeling P, et al. Identifying high risk loading conditions for in-season injury in elite Australian football players. J Sci Med Sport. 2018;21(1):4651. PubMed ID: 28601588 doi:10.1016/j.jsams.2017.05.012

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 24.

    Hopkins WG, Marshall SW, Batterham AM, Hanin J. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc. 2009;41(1):313. PubMed ID: 19092709 doi:10.1249/MSS.0b013e31818cb278

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 25.

    Nédélec M, Halson S, Abaidia AE, Ahmaidi S, Dupont G. Stress, sleep and recovery in elite soccer: a critical review of the literature. Sports Med. 2015;45(10):13871400. PubMed ID: 26206724 doi:10.1007/s40279-015-0358-z

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 26.

    Brancaccio P, Maffulli N, Limongelli FM. Creatine kinase monitoring in sport medicine. Br Med Bull. 2007;81–82:209230. PubMed ID: 17569697 doi:10.1093/bmb/ldm014

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 27.

    Kellmann M, Bertollo M, Bosquet L, et al. Recovery and performance in sport: consensus statement. Int J Sports Physiol Perform. 2018;13(2):240245. PubMed ID: 29345524 doi:10.1123/ijspp.2017-0759

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 28.

    Barth V, Käsbauer H, Ferrauti A, et al. Individualized monitoring of muscle recovery in elite badminton. Front Physiol. 2019;10:778. PubMed ID: 31297063 doi:10.3389/fphys.2019.00778

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 29.

    McCall A, Dupont G, Ekstrand J. Injury prevention strategies, coach compliance and player adherence of 33 of the UEFA Elite Club Injury Study teams: a survey of teams’ head medical officers. Br J Sports Med. 2016;50(12):725730. PubMed ID: 26795611 doi:10.1136/bjsports-2015-095259

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 30.

    Luke A, Lazaro RM, Bergeron MF, et al. Sports-related injuries in youth athletes: is overscheduling a risk factor? Clin J Sport Med. 2011;21(4):307314. PubMed ID: 21694586 doi:10.1097/JSM.0b013e3182218f71

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 31.

    Milewski MD, Skaggs DL, Bishop GA, et al. Chronic lack of sleep is associated with increased sports injuries in adolescent athletes. J Pediatr Orthop. 2014;34(2):129133. PubMed ID: 25028798 doi:10.1097/BPO.0000000000000151

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 32.

    Clarkson PM, Hubal MJ. Exercise-induced muscle damage in humans. Am J Phys Med Rehabil. 2002;81(suppl 11):S52S69. doi:10.1097/00002060-200211001-00007

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 33.

    Malm C, Nyberg P, Engstrom M, et al. Immunological changes in human skeletal muscle and blood after eccentric exercise and multiple biopsies. J Physiol. 2000;529:243262. PubMed ID: 11080266 doi:10.1111/j.1469-7793.2000.00243.x

    • Crossref
    • Search Google Scholar
    • Export Citation
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