Romdhani Mohamed, Fullagar Hugh H K, Vitale Jacopo A, Nédélec Mathieu, Rae Dale E, Ammar Achraf, Chtourou Hamdi, Al Horani Ramzi A, Ben Saad Helmi, Bragazzi Nicola Luigi, Dönmez Gürhan, Dergaa Ismail, Driss Tarak, Farooq Abdulaziz, Hammouda Omar, Harroum Nesrine, Hassanmirzaei Bahar, Khalladi Karim, Khemila Syrine, Mataruna-Dos-Santos Leonardo Jose, Moussa-Chamari Imen, Mujika Iñigo, Muñoz Helú Hussein, Norouzi Fashkhami Amin, Paineiras-Domingos Laisa Liane, Khaneghah Mehrshad Rahbari, Saita Yoshitomo, Souissi Nizar, Trabelsi Khaled, Washif Jad Adrian, Weber Johanna, Zmijewski Piotr, Taylor Lee, Garbarino Sergio, Chamari Karim
High Institute of Sport and Physical Education, Sfax University, Sfax, Tunisia.
Physical Activity, Sport and Health, UR18JS01, National Observatory of Sports, Tunis, Tunisia.
Front Physiol. 2022 Jun 15;13:904778. doi: 10.3389/fphys.2022.904778. eCollection 2022.
To investigate the effect of 1) lockdown duration and 2) training intensity on sleep quality and insomnia symptoms in elite athletes. 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). 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 < 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 ( < 0.001; MD: 1.25; 95% CI: 0.87-1.63) and ISI ( < 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 ( < 0.001; MD: 1.28; 95% CI: 0.26-2.3). 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).
研究1)封锁持续时间和2)训练强度对精英运动员睡眠质量和失眠症状的影响。来自40个国家的1454名精英运动员(24.1±6.7岁;42%为女性;41%从事个人运动项目)回答了一份基于网络的回顾性横断面问卷,内容涉及他们在新冠疫情封锁前及封锁期间的行为习惯,包括:1)匹兹堡睡眠质量指数(PSQI);2)失眠严重程度指数(ISI);关于3)小睡和4)训练行为的定制问题。通过多元回归确定了因变量(PSQI和ISI)与自变量(睡眠、小睡和训练行为)之间的关联,并以半偏相关系数平方(百分比形式)报告。15%的样本封锁时间少于1个月,27%的样本封锁时间为1 - 2个月,58%的样本封锁时间超过2个月。29%的人自我报告在封锁期间保持相同的训练强度,而71%的人降低了训练强度。与封锁前相比,PSQI得分(从4.1±2.4升至5.8±3.1;平均差异(MD):1.7;差异的95%置信区间(95%CI):1.6 - 1.9)和ISI得分(从5.1±4.7升至7.7±6.4;MD:2.6;95%CI:2.3 - 2.9)在封锁期间更高,且与更长的入睡潜伏期(PSQI:28%;ISI:23%)、更晚的就寝时间(PSQI:13%;ISI:14%)以及封锁期间更晚的首选训练时间(PSQI:9%;ISI:5%)相关(均P<0.001)。与在封锁期间保持训练强度的人相比,那些在封锁期间降低训练强度的人PSQI得分更高(P<0.001;MD:1.25;95%CI:0.87 - 1.63),ISI得分也更高(P<0.001;MD:2.5;95%CI:1.72 - 3.27)。虽然PSQI得分不受封锁持续时间的影响,但与封锁时间少于1个月的运动员相比,被限制超过2个月的运动员ISI得分更高(P<0.001;MD:1.28;95%CI:0.26 - 2.3)。在新冠疫情引发的封锁期间降低训练强度与精英运动员睡眠质量较低和失眠严重程度较高有关。封锁持续时间对精英运动员的睡眠行为有进一步的干扰作用。这些发现可能与未来的封锁或类似封锁的情况(如长期疾病、受伤以及国际旅行后的隔离)相关。