Merfeld Brandon, Mancosky Austin, Luedke Joel, Griesmer Shalynn, Erickson Jacob L, Carvalho Victoria, Jagim Andrew R
Exercise & Sport Science, University of Wisconsin-La Crosse, La Crosse, WI 54601.
Sports Medicine, Mayo Clinic Health System, La Crosse, WI 54601.
Int J Exerc Sci. 2022 Mar 1;15(6):423-433. doi: 10.70252/SSLE5502. eCollection 2022.
Early morning training sessions may affect sleep quantity in athletes. The purpose of this study is to examine differences in total sleep time of collegiate athletes on nights prior to early morning training sessions relative to non-training nights. Wristwatch monitors equipped with photoplethysmography and accelerometer technology were worn by 18 NCAA Division III collegiate athletes (Age: 20.1 ± 1.6 years, Height: 1.81 ± 0.02 m, Body Mass: 91.2 ± 6.5 kg, Body Fat %: 20.8 ± 1.6%) during a two-week period of training to monitor total sleep times. Athletes recorded time in and out of bed using a sleep diary, anxiety levels due to having to wake up in the morning, and perceived recovery status (PRS) upon waking the next day. The data were divided into: nights before non-training days (NT) and Training days (TD). Data were analyzed using univariate analysis. All athletes obtained significantly less total sleep on nights before TD relative to NT (NT: 8:15 ± 1:03 vs. TD: 6:08 ± 0:59 hh:mm; < 0.05). There was a positive relationship between total sleep time and recovery status ( < 0.01). Anxiety scores were inversely related to total sleep time ( < 0.01). Next-day recovery status was inversely related to anxiety scores ( < 0.001). College athletes obtained significantly less total sleep time on nights before early morning training sessions (< 0700) during the off-season, regardless of sex and sport. Coaches should consider later training sessions or promote optimal sleep quantity in order to minimize the risks associated to early morning training sessions.
清晨训练可能会影响运动员的睡眠质量。本研究旨在探讨大学生运动员在清晨训练前一晚的总睡眠时间与非训练夜晚相比的差异。18名美国国家大学体育协会（NCAA）第三分区的大学生运动员（年龄：20.1±1.6岁，身高：1.81±0.02米，体重：91.2±6.5千克，体脂率：20.8±1.6%）在为期两周的训练期间佩戴了配备光电容积脉搏波描记术和加速度计技术的手表式监测器，以监测总睡眠时间。运动员使用睡眠日记记录上床和起床时间、因清晨必须起床而产生的焦虑水平以及第二天醒来时的自我感觉恢复状态（PRS）。数据分为：非训练日前一晚（NT）和训练日（TD）。采用单变量分析对数据进行分析。与NT相比，所有运动员在TD前一晚的总睡眠时间均显著减少（NT：8:15±1:03 vs. TD：6:08±0:59小时；<0.05）。总睡眠时间与恢复状态呈正相关（<0.01）。焦虑得分与总睡眠时间呈负相关（<0.01）。次日恢复状态与焦虑得分呈负相关（<0.001）。在休赛期，无论性别和运动项目如何，大学生运动员在清晨训练（<0700）前一晚的总睡眠时间都显著减少。教练应考虑推迟训练时间或促进最佳睡眠质量，以尽量减少与清晨训练相关的风险。
