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Using a Sleep Log to Quantify Sleep Time, Quality and Screen Time
David Pavlat, EdD and Luke Pavlat, BA'22
Human Performance Lab, Department of Kinesiology, Central College
Introduction: In Division III collegiate athletics, sleep has become the final frontier for athletic performance improvement. College’s have spent a great deal of money trying to improve strength, conditioning, and nutrition. Sleep is the remaining variable. Therefore, the purpose of the study was to gain formation from students about sleep while using a paper sleep log.
Methods: Twenty-six students at a division III college were asked to take part in this study. After completing an IRB approved informed consent students kept a paper sleep log for two weeks. Questions included time to bed, time awake, total sleep time, pre sleep fatigue, post sleep fatigue, sleep quality, and screen use within 60 minutes of sleep. The total nights reported were 377. Data was placed in a Microsoft Excel file and statistics were completed using a Minitab 20 Statistical Software program.
|Variable||Time or Likert Score||Standard Deviation|
|Sleep Time||8.27 hours||1.42 hours|
|Pre-Sleep Fatigue 1-7||4.25||1.38|
|Pre-Sleep Alertness 1-5||3.07||0.87|
|Post-Sleep Fatigue 1-7||4.18||1.50|
|Post-Sleep Quality 1-5||2.39||0.87|
Screen time within 60 minutes of sleep was 348 and no screen time was 21.
Discussion: It is surprising that a college group averages 8.27 hours of sleep a night and that 93.9% of the students looked at a screen within an hour of going to sleep. A sleep quality score of 2.39 which is between good, and average is surprising as well since the group had an average about 8 hours of sleep per night.