Advanced search
Publication Cover
Nature and Science of Sleep Volume 14, 2022 - Issue
Submit an article Journal homepage
363
Views
4
CrossRef citations to date
0
Altmetric
Original Research

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

Yu Kawasaki1 Department of Obstetrics and Gynecology, Juntendo University Graduate School of Medicine, Tokyo, JapanORCID Iconhttps://orcid.org/0000-0002-1205-5477View further author information
ORCID Icon,
Takatoshi Kasai2 Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan;3 Cardiovascular Respiratory Sleep Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan;4 Department of Cardiovascular Management and Remote Monitoring, Juntendo University Graduate School of Medicine, Tokyo, Japan;5 Sleep and Sleep-Disordered Breathing Center, Juntendo University Hospital, Tokyo, JapanCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-5747-7668View further author information
ORCID Icon,
Yuko Sakurama6 Japanese Center for Research on Women in Sport, Juntendo University, Tokyo, JapanView further author information
,
Akiko Sekiguchi6 Japanese Center for Research on Women in Sport, Juntendo University, Tokyo, JapanView further author information
,
Eri Kitamura1 Department of Obstetrics and Gynecology, Juntendo University Graduate School of Medicine, Tokyo, JapanView further author information
,
Itsuki Midorikawa7 Akita Northern Happinets, Akita, JapanView further author information
,
Nanako Shiroshita4 Department of Cardiovascular Management and Remote Monitoring, Juntendo University Graduate School of Medicine, Tokyo, JapanView further author information
,
Fusae Kawana3 Cardiovascular Respiratory Sleep Medicine, Juntendo University Graduate School of Medicine, Tokyo, JapanView further author information
,
Etsuko Ogasawara6 Japanese Center for Research on Women in Sport, Juntendo University, Tokyo, Japan;8 School of Health and Sports Science, Juntendo University, Chiba, JapanORCID Iconhttps://orcid.org/0000-0002-8503-4693View further author information
ORCID Icon,
Mari Kitade1 Department of Obstetrics and Gynecology, Juntendo University Graduate School of Medicine, Tokyo, Japan;6 Japanese Center for Research on Women in Sport, Juntendo University, Tokyo, JapanView further author information
,
Natsue Koikawa6 Japanese Center for Research on Women in Sport, Juntendo University, Tokyo, Japan;8 School of Health and Sports Science, Juntendo University, Chiba, JapanView further author information
&
Takao Matsuda9 Department of Gynecology, National Hospital Organization Nishi-Beppu National Hospital, Oita, JapanView further author information
 show all
Pages 819-827 | Published online: 26 Apr 2022

References

  • Myllymaki T, Rusko H, Syvaoja H, Juuti T, Kinnunen ML, Kyrolainen H. Effects of exercise intensity and duration on nocturnal heart rate variability and sleep quality. Eur J Appl Physiol. 2012;112(3):801–809. doi:10.1007/s00421-011-2034-9
  • Samuels C. Sleep, recovery, and performance: the new frontier in high-performance athletics. Neurol Clin. 2008;26(1):169–180. doi:10.1016/j.ncl.2007.11.012
  • Mah CD, Mah KE, Kezirian EJ, Dement WC. The effects of sleep extension on the athletic performance of collegiate basketball players. Sleep. 2011;34(7):943–950. doi:10.5665/SLEEP.1132
  • Simpson NS, Gibbs EL, Matheson GO. Optimizing sleep to maximize performance: implications and recommendations for elite athletes. Scand J Med Sci Sports. 2017;27(3):266–274. doi:10.1111/sms.12703
  • Leeder J, Glaister M, Pizzoferro K, Dawson J, Pedlar C. Sleep duration and quality in elite athletes measured using wristwatch actigraphy. J Sports Sci. 2012;30(6):541–545. doi:10.1080/02640414.2012.660188
  • Purvis D, Gonsalves S, Deuster PA. Physiological and psychological fatigue in extreme conditions: overtraining and elite athletes. Pm r. 2010;2(5):442–450. doi:10.1016/j.pmrj.2010.03.025
  • Kanemura T, Kadotani H, Matsuo M, et al. Evaluation of a portable two-channel electroencephalogram monitoring system to analyze sleep stages. J Oral Sleep Medi. 2016;2:101–108.
  • Koikawa N, Takami Y, Kawasaki Y, et al. Changes in the objective measures of sleep between the initial nights of menses and the nights during the mid-follicular phase of the menstrual cycle in collegiate female athletes. J Clin Sleep Med. 2020;16(10):1745–1751. doi:10.5664/jcsm.8692
  • Haghayegh S, Khoshnevis S, Smolensky MH, Diller KR. Accuracy of purepulse photoplethysmography technology of fitbit charge 2 for assessment of heart rate during sleep. Chronobiol Int. 2019;36(7):927–933. doi:10.1080/07420528.2019.1596947
  • de Zambotti M, Goldstone A, Claudatos S, Colrain IM, Baker FC. A validation study of Fitbit charge 2™ compared with polysomnography in adults. Chronobiol Int. 2018;35(4):465–476. doi:10.1080/07420528.2017.1413578
  • Lee XK, Chee N, Ong JL, et al. Validation of a consumer sleep wearable device with actigraphy and polysomnography in adolescents across sleep opportunity manipulations. J Clin Sleep Med. 2019;15(9):1337–1346. doi:10.5664/jcsm.7932
  • Cook JD, Eftekari SC, Dallmann E, Sippy M, Plante DT. Ability of the fitbit alta HR to quantify and classify sleep in patients with suspected central disorders of hypersomnolence: a comparison against polysomnography. J Sleep Res. 2019;28(4):e12789. doi:10.1111/jsr.12789
  • Moreno-Pino F, Porras-Segovia A, López-Esteban P, Artés A, Baca-García E. validation of fitbit charge 2 and fitbit alta hr against polysomnography for assessing sleep in adults with obstructive sleep apnea. J Clin Sleep Med. 2019;15(11):1645–1653. doi:10.5664/jcsm.8032
  • Kahawage P, Jumabhoy R, Hamill K, de Zambotti M, Drummond SPA. Validity, potential clinical utility, and comparison of consumer and research-grade activity trackers in Insomnia Disorder I: in-lab validation against polysomnography. J Sleep Res. 2020;29(1):e12931. doi:10.1111/jsr.12931
  • Chinoy ED, Cuellar JA, Huwa KE, et al. Performance of seven consumer sleep-tracking devices compared with polysomnography. Sleep. 2021;44(5). doi:10.1093/sleep/zsaa291
  • Yalamanchali S, Farajian V, Hamilton C, Pott TR, Samuelson CG, Friedman M. Diagnosis of obstructive sleep apnea by peripheral arterial tonometry: meta-analysis. JAMA Otolaryngol Head Neck Surg. 2013;139(12):1343–1350. doi:10.1001/jamaoto.2013.5338
  • Kasai T, Takata Y, Yoshihisa A, et al. Comparison of the apnea-hypopnea index determined by a peripheral arterial tonometry-based device with that determined by polysomnography ― results from a multicenter study. Circ Rep. 2020;2(11):674–681. doi:10.1253/circrep.CR-20-0097
  • Berry RB, Brooks R, Gamaldo C, et al. AASM scoring manual updates for 2017 (Version 2.4). J Clin Sleep Med. 2017;13(5):665–666. doi:10.5664/jcsm.6576
  • Ho KKY. The promise of growth hormone in sport: doped or duped. Arch Endocrinol Metab. 2019;63(6):576–581. doi:10.20945/2359-3997000000187
  • Fitbit Inc. What should I know about Fitbit sleep stages? Available from: https://help.fitbit.com/articles/en_US/Help_article/2163.htm. Accessed January 19, 2022.
  • Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;1(8476):307–310. doi:10.1016/S0140-6736(86)90837-8
  • Chikersal P, Doryab A, Tumminia M, et al. Detecting depression and predicting its onset using longitudinal symptoms captured by passive sensing: a machine learning approach with robust feature selection. ACM Trans Comput-Hum Int. 2021;28(1):Article3. doi:10.1145/3422821
  • Fitbit Inc. Web API reference. Available from: https://dev.fitbit.com/build/reference/web-api. Accessed January 19, 2022.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.