Int J Sports Med 2023; 44(05): 336-343
DOI: 10.1055/a-1974-5441
Physiology & Biochemistry

Day Type and Start Time May Influence Sleep in Adolescent Professional Football Players

Luke Edinborough
1   Sport Performance, Southampton FC, Southampton, United Kingdom of Great Britain and Northern Ireland
2   Faculty of Sport, Health and Applied Science, St Mary’s University, Twickenham, Twickenham, United Kingdom of Great Britain and Northern Ireland
,
Stewart Bruce-low
3   Department of Applied Sport and Exercise Sciences, University of East London, London, United Kingdom of Great Britain and Northern Ireland
,
Jessica Hill
2   Faculty of Sport, Health and Applied Science, St Mary’s University, Twickenham, Twickenham, United Kingdom of Great Britain and Northern Ireland
,
Jonny Woodhouse
1   Sport Performance, Southampton FC, Southampton, United Kingdom of Great Britain and Northern Ireland
,
Mark Jarvis
1   Sport Performance, Southampton FC, Southampton, United Kingdom of Great Britain and Northern Ireland
,
Charles Pedlar
2   Faculty of Sport, Health and Applied Science, St Mary’s University, Twickenham, Twickenham, United Kingdom of Great Britain and Northern Ireland
4   Division of Surgery and Interventional Science, University College London, London, United Kingdom of Great Britain and Northern Ireland
› Author Affiliations

Abstract

This study assessed whether scheduling (start time and day type) and workload variables influenced sleep markers (activity monitor) in professional academy footballers (n=11; 17.3±0.7 yrs) over a 10-week in-season period. Separate linear mixed regressions were used to describe the effect of start time on the previous nights sleep, and the effect of day type (match day, match day+1) and workload on subsequent sleep. Workload variables were modelled by day (day), 7-day (acute), and 28-day (chronic) periods. Sleep duration following match day+1 (400 mins; 95%CI:368–432) was significantly reduced compared to all other day types (p<0.001). Sleep onset time following match day (00:35; CI:00:04–01:12) and wake time on match day+1 (09:00; CI:08:37–09:23) were also significantly later compared to all other day types (p<0.001). Sleep duration (19.1 mins; CI:9.4–28.79), wake time (18 mins; CI:9.3–26.6), and time in bed (16.8 mins; CI:2.0–31.5) were significantly increased per hour delay in start time. When no activity was scheduled, sleep duration (37 mins; CI:18.1–55.9), sleep onset (42.1 mins; CI:28.8–56.2), and wake times (86 mins; CI:72–100) were significantly extended, relative to a 09:00 start time. Day, acute, and chronic workloads were associated with sleep onset and wake times only. Scheduled start times were associated with changes in sleep duration. Therefore, delaying start times may increase sleep in this population.

Supplementary Material



Publication History

Received: 08 June 2022

Accepted: 08 November 2022

Accepted Manuscript online:
08 November 2022

Article published online:
20 January 2023

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  • References

  • 1 Whitworth-Turner CM, di Michele R, Muir I. et al. Training load and schedule are important determinants of sleep behaviours in youth-soccer players. Eur J Sport Sci 2019; 19: 576-584
  • 2 Nédélec M, Dawson B, Dupont G. Influence of night soccer matches on sleep in elite players. J Strength Cond Res 2019; 33: 174-179
  • 3 Carrico S, Skorski S, Duffield R. et al. Post-match sleeping behavior based on match scheduling over a season in elite football players. Sci Med Footb 2018; 2: 9-15
  • 4 Fullagar HHK, Duffield R, Skorski S. et al. Sleep, travel, and recovery responses of national footballers during and after long-haul international air travel. Int J Sports Physiol Perform 2016; 11: 86-95
  • 5 Lastella M, Roach GD, Sargent C. Travel fatigue and sleep/wake behaviors of professional soccer players during international competition. Sleep Health 2019; 5: 141-147
  • 6 Fischer D, Lombardi DA, Marucci-Wellman H. et al. Chronotypes in the US – Influence of age and sex. PLoS One 2017; 12: e0178782
  • 7 Morgenthaler TI, Hashmi S, Croft JB. et al. High school start times and the impact on high school students: what we know, and what we hope to learn. J Clin Sleep Med 2016; 12: 1681
  • 8 Bowen L, Gross AS, Gimpel M. et al. Accumulated workloads and the acute: Chronic workload ratio relate to injury risk in elite youth football players. Br J Sports Med 2017; 51: 452-459
  • 9 Silva A, Narciso FV, Soalheiro I. et al. Poor sleep quality’s association with soccer injuries: Preliminary data. Int J Sports Physiol Perform 2020; 15: 671-676
  • 10 Thornton HR, Delaney JA, Duthie GM. et al. Effects of preseason training on the sleep characteristics of professional rugby league players. Int J Sports Physiol Perform 2018; 13: 176-182
  • 11 Hausswirth C, Louis J, Aubry A. et al. Evidence of disturbed sleep and increased illness in overreached endurance athletes. Sports Med Health Sci 2014; 46: 1036-1045
  • 12 Thorpe RT, Strudwick AJ, Buchheit M. et al. Monitoring fatigue during the in-season competitive phase in elite soccer players. Int J Sports Physiol Perform 2015; 10: 958-964
  • 13 Thorpe RT, Strudwick AJ, Buchheit M. et al. The influence of changes in acute training load on daily sensitivity of morning-measured fatigue variables in elite soccer players. Int J Sports Physiol Perform 2017; 12: S2107-S2113
  • 14 Driller M, McQuillan J, O’Donnell S. Inter-device reliability of an automatic-scoring actigraph for measuring sleep in healthy adults. Sleep Sci 2016; 9: 198-201
  • 15 Chinoy ED, Cuellar JA, Huwa KE. et al. Performance of seven consumer sleep-tracking devices compared with polysomnography. Sleep 2021; 44: zsaa291
  • 16 Owens DJ, Twist C, Cobley JN. et al. Exercise-induced muscle damage: What is it, what causes it and what are the nutritional solutions?. Eur J Sport Sci 2019; 19: 71-85
  • 17 Bates D, Maechler M, Bolker B. et al. lme4: Linear Mixed-Effects Models using ‘Eigen’ and S4. 2022
  • 18 Schwartz Simon. Sleep extension improves serving accuracy: A study with college varsity tennis players. Physiol Behav 2015; 151: 541-544
  • 19 Paksarian D, Rudolph KE, He JP. et al. School start time and adolescent sleep patterns: results from the us national comorbidity survey – adolescent supplement. Am J Public Health 2015; 105: 1351-1357
  • 20 Wittmann M, Dinich J, Merrow M. et al. Social jetlag: misalignment of biological and social time. Chronobiol Int 2006; 23: 497-509
  • 21 Hysing M, Pallesen S, Stormark KM. et al. Sleep and use of electronic devices in adolescence: Results from a large population-based study. BMJ Open 2015; 5: e006748
  • 22 Romdhani M, Rae DE, Nedelec M. et al. COVID-19 lockdowns: a worldwide survey of circadian rhythms and sleep quality in 3911 athletes from 49 countries, with data-driven recommendations. Sports Med 2021; 52: 1433-1448