Int J Sports Med 2021; 42(02): 169-174
DOI: 10.1055/a-1192-5845
Behavioural Sciences

Sleep of Wheelchair Rugby Athletes: Training, Rest and Competition

Victor Sanz-Milone
1   Faculdade de Educação Física, Universidade Estadual de Campinas, Campinas, Brazil
,
Fernanda V. Narciso
2   Escola de Educação Física, Fisioterapia e Terapia Ocupacional, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
,
Andressa da Silva
2   Escola de Educação Física, Fisioterapia e Terapia Ocupacional, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
,
Milton Misuta
3   Faculdade de Ciências Aplicadas, Universidade Estadual de Campinas, Limeira, Brazil
,
Marco Túlio de Mello
2   Escola de Educação Física, Fisioterapia e Terapia Ocupacional, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
,
Andrea Maculano Esteves
3   Faculdade de Ciências Aplicadas, Universidade Estadual de Campinas, Limeira, Brazil
› Institutsangaben
Funding: This work was supported by funds derived the Laboratório de Sono e Exercício Físico (LASEF), the Centro de Estudos em Psicobiologia e Exercício (CEPE); the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) - Finance Code 001, Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) CNPq and Fundo de Apoio ao Ensino, Pesquisa e Extensão – FAEPEX.

Abstract

The aim of this study was to evaluate the sleep-wake cycle of wheelchair rugby athletes during the pre-season compared to in-season. Wheelchair Rugby athletes wore an actigraph monitor during two respective 10-day periods: 1) pre-season and 2) in-season, each of which comprised three training days, three rest days, and four competition days, respectively. In addition, the players completed questionnaires regarding sleepiness, subjective quality of sleep, and chronotype, as well as the use of the sleep diary along with the actigraph measurements (20 days). The wheelchair rugby athletes had poor subjective sleep quality in both stages observed by sleep efficiency below 85% (ES 0.31) and high score in the Pittsburgh questionnaire (effect size-ES 0.55), the actigraphy results presented an increase of sleep latency (ES 0.47), and wake after sleep onset (ES 0.42). When comparing the athlete’s routine, the competition days, demonstrated a reduction in the total time of sleep and the sleep efficiency, in addition to an increase in wakefulness after sleep onset when compared with the training and rest periods. As a result, the wheelchair rugby players did not describe a pattern of sleep-wake cycle during different training phases, as well as poor sleep quality.



Publikationsverlauf

Eingereicht: 19. August 2019

Angenommen: 18. Mai 2020

Artikel online veröffentlicht:
18. September 2020

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  • References

  • 1 Kellmann M. Preventing overtraining in athletes in high-intensity sports and stress/recovery monitoring. Scand J Med Sci Sports 2010; 20: 95-102
  • 2 Nédélec ML, McCall A, Carling C. et al. Recovery in soccer: part I - post-match fatigue and time course of recovery. Sports Med 2012; 42: 997-1015
  • 3 Krystal AD, Edinger JD. Measuring sleep quality. Sleep Med 2008; 9: 10-17
  • 4 Krystal AD. Psychiatric disorders and sleep. Neurol Clin 2012; 30: 1389-1413
  • 5 Samuels C. Sleep, recovery, and performance: the new frontier in high-performance athletics. Neurol Clin 2008; 26: 169-180
  • 6 Martins PJF, Mello MT, Tufik S. Exercício e sono. Rev Bras Med Esporte 2001; 7: 28-36
  • 7 Silva A, Queiroz SS, Winckler C. et al. Sleep quality evaluation, chronotype, sleepiness and anxiety of Paralympic Brazilian athletes: Beijing 2008 Paralympic Games. Br J Sports Med 2012; 46: 150-154
  • 8 Biering-Sørensen F, Biering-Sørensen M. Sleep disturbances in the spinal cord injured: an epidemiological questionnaire investigation, including a normal population. Spinal Cord 2001; 39: 505-513
  • 9 Uchiyama M, Lockley SW. Non-24-hour sleep-wake rhythm disorder in sighted and blind patients. Sleep Med Clin 2015; 10: 495-516
  • 10 Juliff LE, Halson SL, Peiffer JJ. Understanding sleep disturbance in athletes prior to important competitions. J Sci Med Sport 2015; 18: 13-18
  • 11 Barfield JP, Malone LA, Arbo C. et al. Exercise intensity during wheelchair rugby training. J Sports Sci 2010; 28: 389-398
  • 12 Rhodes JM, Mason BS, Perrat B. et al. Activity profiles of elite wheelchair rugby players during competition. Int J Sports Physiol Perform 2015; 10: 318-324 Erratum in: Int J Sports Physiol Perform 2015; 10: 534
  • 13 Thornton HR, Delaney JA, Duthie GM. et al. Effects of pre-season training on the sleep characteristics of professional rugby league players. Int J Sports Physiol Perform 2018; 13: 176-182
  • 14 Harriss D, MacSween A, Atkinson G. Standards for ethics in sport and exercise science research: 2020 update. Int J Sports Med 2019; 40: 813-817
  • 15 Buysse DJ, Reynolds CF, Monk TH. et al. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res 1989; 28: 193-213
  • 16 Bertolazi AN, Fagondes SC, Hoff LS. Validation of the Brazilian Portuguese version of the Pittsburgh Sleep Quality Index. Sleep Med 2011; 12: 70-75
  • 17 Horne JA, Ostberg OA. Self-assessment questionnaire to determine morningness-eveningness in human circadian rhythms. Int J Chronobiol 1976; 4: 97-110
  • 18 Benedito-Silva AAL, Menna-Barreto L, Marques N. et al. A self-assessment questionnaire for the determination of morningness-eveningness types in Brazil. Prog Clin Biol Res 1990; 341B: 89-98
  • 19 Johns MW. A new method for measuring daytime sleepiness: The epworth sleepiness scale. Sleep 1991; 14: 540-545
  • 20 Bertolazi AN, Fagondes SC, Hoff LS. et al. Portuguese-language version of the Epworth sleepiness scale: validation for use in Brazil. J Bras Pneumol 2009; 35: 877-883
  • 21 Samson DR, Yetish GM, Crittenden AN. et al. What is segmented sleep? Actigraphy field validation for daytime sleep and nighttime wake. Sleep Health 2016; 2: 341-347
  • 22 Sargent C, Lastella M, Halson SL. et al. The validity of activity monitors for measuring sleep in elite athletes. J Sci Med Sport 2016; 19: 848-853
  • 23 Mantua J, Gravel N, Spencer RM. Reliability of sleep measures from four personal health monitoring devices compared to research-based actigraphy and polysomnography. Sensors (Basel) 2016; 16: 646
  • 24 Sadeh A, Sharkey KM, Carskadon MA. Activity-based sleep-wake identification: an empirical test of methodological issues. Sleep 1994; 17: 201-207
  • 25 Cohen J. Statistical Power Analysis for the Behavioral Sciences. New York, NY: Routledge Academic; 1988
  • 26 AASM. International classification of Sleep Disorders: Diagnostic and Coding Manual. Westchester, IL: American Academy of Sleep Medicine; 2005
  • 27 Bird SP. Sleep, recovery, and athletic performance: a brief review and recommendations. Strength Cond J 2015; 35: 43-47
  • 28 Ohayon M, Wickwire EM, Hirshkowitz M. et al. National Sleep Foundation's sleep quality recommendations: first report. Sleep Health 2017; 3: 6-19
  • 29 Gupta L, Morgan K, Gilchrist S. Does Elite Sport Degrade Sleep Quality? A systematic review. Sports Med 2017; 47: 1317-1333
  • 30 Caia J, Scott TJ, Halson SL. et al. Do players and staff sleep more during the pre- or competitive season of elite rugby league?. Eur J Sport Sci 2017; 17: 964-972
  • 31 Sargent C, Lastella M, Halson SL. et al. The impact of training schedules on the sleep and fatigue of elite athletes. Chronobiol Int 2014; 31: 1160-1168
  • 32 Tsunoda K, Hotta K, Mutsuzaki H. et al. Sleep status in male wheelchair basketball players on a Japanese National Team. J Sleep Disord Ther 2015; 4: 1000210
  • 33 Consensus Conference Panel Watson NF, Safwan Badr M, Belenky G, Bliwise DL. et al. A Joint Consensus Statement of the American Academy of Sleep Medicine and Sleep Research Society. Sleep 2015; 38: 843-844
  • 34 Kunorozva L, Stephenson KJ, Rae DE. et al. Chronotype and PERIOD3 variable number tandem repeat polymorphism in individual sports athletes. Chronobiol Int 2012; 29: 1004-1010