Advertisement
Original research| Volume 22, ISSUE 2, P130-134, February 2019

The influence of sleep and training load on illness in nationally competitive male Australian Football athletes: A cohort study over one season

      Abstract

      Objectives

      To determine the incidence of illness, and identify the relationship between sleep, training load and illness in nationally competitive Australian football athletes. Second, to assess multivariate effect between training load and/or sleep variables.

      Design

      Cohort study.

      Methods

      Retrospective analyses of prospectively collected cohort data were conducted on forty-four male athletes over a 46-week season. The primary outcome was illness incidence, recorded daily by medical doctors. Independent variables were acute, chronic and acute:chronic ratios of: sleep quality, sleep quantity, internal training load and external training load defined as: total running distance, high speed running distance and sprint distance. Generalised estimating equations using Poisson (count) models were fit to examine both univariate and multivariate associations between independent variables and illness incidence.

      Results

      67 incidences of illness were recorded, with an incidence rate of 11 illnesses per 1000 running hours. Univariate analysis showed acute and chronic sleep hours and quality, as well as acute sprint and total running distance to be significantly associated with illness. Multivariate analysis identified that only acute sleep quantity was significantly, negatively associated with illness incidence (OR 0.49, CI 0.25–0.94) once all univariate significant variables were controlled for. There was no relationship between external training load and illness when sleep metrics were controlled for.

      Conclusions

      In a cohort of Australian football athletes, whose load was well monitored, reduced sleep quantity was associated with increased incidence of illness within the next 7 days. Monitoring sleep parameters may assist in identifying individuals at risk of illness.

      Keywords

      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to Journal of Science and Medicine in Sport
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

        • Galazaka-Franta A.
        • Jura-Szoltys E.
        • Smolka W.
        • et al.
        Upper respiratory tract disease in athletes in different sporting disciplines.
        J Hum Kinet. 2016; 53: 99-106
        • Podlog L.
        • Buhler C.F.
        • Pollack H.
        • et al.
        Time trends for injuries and illness, and their relation to performance in the National Basketball Association.
        J Sci Med Sport. 2015; 18: 278-282
        • Gleeson M.
        Immune function in sport and exercise.
        J Appl Physiol. 2007; 103: 693-699
        • Besedovsky L.
        • Lange T.
        • Born J.
        Sleep and immune function.
        Pflugers Archiv. 2012; 463: 121-137
      1. Australian Institute of Sport (AIS). Can we think about training loads differently? Available at: https://www.ausport.gov.au/__data/assets/pdf_file/0006/646755/Can_we_think_about_training_loads_differently.pdf. Accessed 1 November 2016.

        • MacKinnon L.T.
        Special feature for the Olympics: effects of exercise on the immune system: overtraining effects on immunity and performance in athletes.
        Immunol Cell Biol. 2000; 78: 502-509
        • Drew M.K.
        • Finch C.F.
        The relationship between training load and injury, illness and soreness: a systematic and literature review.
        Sports Med. 2016; 46: 861-883
        • Piggott B.
        The relationship between training load and incidence of injury and illness over a pre-season at an Australian Football League Club. MSc Diss. 17. 2008: 4-17
        • Irwin M.R.
        Sleep and infectious disease risk.
        Sleep. 2012; 35: 1025-1026
        • AlDabal L.
        • BaHammam A.
        Metabolic, endocrine, and immune consequences of sleep deprivation.
        Open Respir Med J. 2011; 5: 31-43
        • Juliff L.
        • Halson S.
        • Peiffer J.
        Understanding sleep disturbance in athletes prior to important competitions.
        J Sci Med Sport. 2015; 18: 13-18
        • Hausswirth C.
        Evidence of disturbed sleep and increased illness in overreached endurance athletes.
        Med Sci Sports Exerc. 2014; 46: 1036-1045
        • Cohen S.
        • Doyle W.J.
        • Alper C.M.
        • et al.
        Sleep habits and susceptibility to the common cold.
        Arch Intern Med. 2009; 169: 62-67
        • Veugelers K.R.
        • Young W.B.
        • Fahrner B.
        • et al.
        Different methods of training load quantification and their relationship to injury and illness in elite Australian football.
        J Sci Med Sport. 2016; 19: 24-28
        • Soligard T.
        • Schwellnus M.
        • Alonso J.M.
        • et al.
        How much is too much? (Part 1) International Olympic Committee consensus statement on load in sport and risk of injury.
        Br J Sports Med. 2016; 50: 1030-1041
        • Coutts A.J.
        • Quinn J.
        • Hocking J.
        • et al.
        Match running performance in elite Australian Rules Football.
        J Sci Med Sport. 2010; 13: 543-548
        • Düking P.
        • Hotho A.
        • Holmberg H.C.
        • et al.
        Comparison of non-invasive individual monitoring of the training and health of athletes with commercially available wearable technologies.
        Front Physiol. 2016; 7: 71
        • Foster C.
        Monitoring training in athletes with reference to overtraining syndrome.
        Med Sci Sport Exerc. 1998; 30: 1164-1168
        • Grandner M.A.
        • Kripke D.F.
        • Yoon I.Y.
        • et al.
        Criterion validity of the Pittsburgh Sleep Quality Index: investigation in a non‐clinical sample.
        Sleep Biol Rhythms. 2006; 4: 129-136
        • Kuhnel J.
        • Bledow R.
        • Feuerhahn N.
        When do you procrastinate? Sleep quality and social sleep lag jointly predict self-regulatory failure at work.
        J Organ Behav. 2016; 37: 983-1002
        • Videbaek S.
        • Bueno A.M.
        • Nielsen R.O.
        • et al.
        Incidence of running-related injuries per 1000 h of running in different types of runners: a systematic review and meta-analysis.
        Sports Med. 2015; 45: 1017-1026
        • Thornton H.R.
        • Delaney J.A.
        • Duthie G.M.
        • et al.
        Predicting self-reported illness for professional team-sport athletes.
        Int J Sports Physiol Perform. 2016; 11: 543-550
        • Schwellnus M.
        • Soligard T.
        • Alonso J.
        How much is too much? (Part 2) International Olympic Committee consensus statement on load in sport and risk of illness.
        Br J Sports Med. 2016; 50: 1043-1052
        • Cunniffe B.
        • Griffiths H.
        • Proctor W.
        • et al.
        Mucosal immunity and illness incidence in elite rugby union players across a season.
        Med Sci Sports Exerc. 2011; 43: 388-397
        • Fricker P.A.
        • Pyne D.B.
        • Saunders P.U.
        • et al.
        Influence of training loads on patterns of illness in elite distance runners.
        Clin J Sport Med. 2005; 15: 246-252
        • Australian Bureau of Statistics
        Patient experiences in Australia: summary of findings, 2015–16.
        2016 (Available at: http://www.abs.gov.au/AUSSTATS/[email protected]/Lookup/4839.0Main+Features12015-16?OpenDocument. Accessed 5 January 2017)
        • Prather A.
        • Janicki-Deverts D.
        • Hall M.
        • et al.
        Behaviorally assessed sleep and susceptibility to the common cold.
        Sleep. 2015; 38: 1353-1359
        • Vgontzas A.
        • Zoumakis E.
        • Bixler E.
        • et al.
        Adverse effects of modest sleep restriction on sleepiness, performance, and inflammatory cytokines.
        J Clin Endocrinol Metab. 2004; 89: 2119-2126
        • Lessler J.
        • Reich N.
        • Brookmeyer R.
        • et al.
        Incubation periods of acute respiratory viral infections: a systematic review.
        Lancet Infect Dis. 2009; 9: 291-300
        • O’Donnell S.
        • Driller M.W.
        Sleep-hygiene education improves sleep indices in elite female athletes.
        Int J Exerc Sci. 2017; 10: 522-530
        • Jones C.
        • Griffiths P.
        • Mellalieu S.
        Training load and fatigue marker associations with injury and illness: a systematic review of longitudinal studies.
        Sports Med. 2017; 47: 943-974
        • Lauderdale D.S.
        • Knutson K.L.
        • Yan L.L.
        • et al.
        Sleep duration: how well do self-reports reflect objective measures? The CARDIA sleep study.
        Epidemiology. 2008; 19: 838-845
        • Bittencourt N.F.N.
        • Meeuwisse W.H.
        • Mendonça L.D.
        • et al.
        Complex systems approach for sports injuries: moving from risk factor identification to injury pattern recognition—narrative review and new concept.
        Br J Sports Med. 2016; 50: 1309-1314