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Lockdown Duration and Training Intensity Affect Sleep Behavior in an International Sample of 1,454 Elite Athletes Publisher



Romdhani M1, 2 ; Fullagar HHK3 ; Vitale JA4 ; Nedelec M5 ; Rae DE6 ; Ammar A7, 8 ; Chtourou H1, 2 ; Al Horani RA9 ; Ben Saad H10 ; Bragazzi NL11, 12 ; Donmez G13 ; Dergaa I14 ; Driss T8 ; Farooq A15 Show All Authors
Authors
  1. Romdhani M1, 2
  2. Fullagar HHK3
  3. Vitale JA4
  4. Nedelec M5
  5. Rae DE6
  6. Ammar A7, 8
  7. Chtourou H1, 2
  8. Al Horani RA9
  9. Ben Saad H10
  10. Bragazzi NL11, 12
  11. Donmez G13
  12. Dergaa I14
  13. Driss T8
  14. Farooq A15
  15. Hammouda O8, 16
  16. Harroum N17
  17. Hassanmirzaei B18, 19
  18. Khalladi K15
  19. Khemila S2, 20
  20. Matarunadossantos LJ21, 22
  21. Moussachamari I23
  22. Mujika I24, 25
  23. Munoz Helu H26
  24. Norouzi Fashkhami A27
  25. Paineirasdomingos LL28, 29
  26. Khaneghah MR27
  27. Saita Y30
  28. Souissi N2, 20
  29. Trabelsi K1, 31
  30. Washif JA32
  31. Weber J33, 34
  32. Zmijewski P35
  33. Taylor L36, 37
  34. Garbarino S38, 39
  35. Chamari K15

Source: Frontiers in Physiology Published:2022


Abstract

Objective: To investigate the effect of 1) lockdown duration and 2) training intensity on sleep quality and insomnia symptoms in elite athletes. Methods: 1,454 elite athletes (24.1 ± 6.7 years; 42% female; 41% individual sports) from 40 countries answered a retrospective, cross-sectional, web-based questionnaire relating to their behavioral habits pre- and during- COVID-19 lockdown, including: 1) Pittsburgh sleep quality index (PSQI); 2) Insomnia severity index (ISI); bespoke questions about 3) napping; and 4) training behaviors. The association between dependent (PSQI and ISI) and independent variables (sleep, napping and training behaviors) was determined with multiple regression and is reported as semi-partial correlation coefficient squared (in percentage). Results: 15% of the sample spent < 1 month, 27% spent 1–2 months and 58% spent > 2 months in lockdown. 29% self-reported maintaining the same training intensity during-lockdown whilst 71% reduced training intensity. PSQI (4.1 ± 2.4 to 5.8 ± 3.1; mean difference (MD): 1.7; 95% confidence interval of the difference (95% CI): 1.6–1.9) and ISI (5.1 ± 4.7 to 7.7 ± 6.4; MD: 2.6; 95% CI: 2.3–2.9) scores were higher during-compared to pre-lockdown, associated (all p < 0.001) with longer sleep onset latency (PSQI: 28%; ISI: 23%), later bedtime (PSQI: 13%; ISI: 14%) and later preferred time of day to train (PSQI: 9%; ISI: 5%) during-lockdown. Those who reduced training intensity during-lockdown showed higher PSQI (p < 0.001; MD: 1.25; 95% CI: 0.87–1.63) and ISI (p < 0.001; MD: 2.5; 95% CI: 1.72–3.27) scores compared to those who maintained training intensity. Although PSQI score was not affected by the lockdown duration, ISI score was higher in athletes who spent > 2 months confined compared to those who spent < 1 month (p < 0.001; MD: 1.28; 95% CI: 0.26–2.3). Conclusion: Reducing training intensity during the COVID-19-induced lockdown was associated with lower sleep quality and higher insomnia severity in elite athletes. Lockdown duration had further disrupting effects on elite athletes’ sleep behavior. These findings could be of relevance in future lockdown or lockdown-like situations (e.g., prolonged illness, injury, and quarantine after international travel). Copyright © 2022 Romdhani, Fullagar, Vitale, Nedelec, Rae, Ammar, Chtourou, Al Horani, Ben Saad, Bragazzi, Donmez, Dergaa, Driss, Farooq, Hammouda, Harroum, Hassanmirzaei, Khalladi, Khemila, Mataruna-Dos-Santos, Moussa-Chamari, Mujika, Munoz Helu, Norouzi Fashkhami, Paineiras-Domingos, Khaneghah, Saita, Souissi, Trabelsi, Washif, Weber, Zmijewski, Taylor, Garbarino and Chamari.
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