Nature and Science of Sleep (Apr 2022)

Evaluation of Sleep Parameters and Sleep Staging (Slow Wave Sleep) in Athletes by Fitbit Alta HR, a Consumer Sleep Tracking Device

  • Kawasaki Y,
  • Kasai T,
  • Sakurama Y,
  • Sekiguchi A,
  • Kitamura E,
  • Midorikawa I,
  • Shiroshita N,
  • Kawana F,
  • Ogasawara E,
  • Kitade M,
  • Koikawa N,
  • Matsuda T

Journal volume & issue
Vol. Volume 14
pp. 819 – 827

Abstract

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Yu Kawasaki,1 Takatoshi Kasai,2– 5 Yuko Sakurama,6 Akiko Sekiguchi,6 Eri Kitamura,1 Itsuki Midorikawa,7 Nanako Shiroshita,4 Fusae Kawana,3 Etsuko Ogasawara,6,8 Mari Kitade,1,6 Natsue Koikawa,6,8 Takao Matsuda9 1Department of Obstetrics and Gynecology, Juntendo University Graduate School of Medicine, Tokyo, Japan; 2Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan; 3Cardiovascular Respiratory Sleep Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan; 4Department of Cardiovascular Management and Remote Monitoring, Juntendo University Graduate School of Medicine, Tokyo, Japan; 5Sleep and Sleep-Disordered Breathing Center, Juntendo University Hospital, Tokyo, Japan; 6Japanese Center for Research on Women in Sport, Juntendo University, Tokyo, Japan; 7Akita Northern Happinets, Akita, Japan; 8School of Health and Sports Science, Juntendo University, Chiba, Japan; 9Department of Gynecology, National Hospital Organization Nishi-Beppu National Hospital, Oita, JapanCorrespondence: Takatoshi Kasai, Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, Japan, Tel/fax +81 3-6873-2869, Email [email protected]: Sleep is an essential factor for athletes, and it is important to intervene in sleep to manage it. We need a device that can evaluate sleep easily and constantly. Consumer wearable devices can be useful tools for athletes. In order to use consumer wearable devices in clinical research, it is essential to conduct a validation study. Thus, we conducted a validation study to assess the Fitbit Alta HRTM (FBA)- a consumer wearable device with an accelerometer and a heart rate monitor to detect sleep stages and quality against electroencephalographic (EEG) studies in athletes.Patients and Methods: Forty college athletes participated in the study. EEG was applied to participants simultaneously while wearing FBA.Results: Regarding sleep parameters, there was a strong correlation between the total sleep time (TST)-EEG and the TST-Fitbit (r = 0.83; p < 0.001). Regarding the sleep stages, there was a modest correlation between the N3 sleep-EEG and the N3 sleep-Fitbit (r = 0.68; p < 0.001). In addition, there was a strong correlation between the percentage of N3 sleep in between sleep onset and initial rapid eye movement sleep-EEG and those on Fitbit (r = 0.73; p < 0.001).Conclusion: These results demonstrate that FBA facilitates sleep monitoring and exhibits acceptable agreement with EEG. Therefore, FBA is a useful tool in athletes’ sleep management.Keywords: athletes, wearable technology, sleep monitoring, electroencephalogram

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