Literature DB >> 29750580

How well does a commercially available wearable device measure sleep in young athletes?

Charli Sargent1, Michele Lastella1, Georgia Romyn1,2, Nathan Versey2, Dean J Miller1, Gregory D Roach1.   

Abstract

The validity of a commercially available wearable device for measuring total sleep time was examined in a sample of well-trained young athletes during night-time sleep periods and daytime naps. Participants wore a FitBit HR Charge on their non-dominant wrist and had electrodes attached to their face and scalp to enable polysomnographic recordings of sleep in the laboratory. The FitBit automatically detected 24/30 night-time sleep periods but only 6/20 daytime naps. Compared with polysomnography, the FitBit overestimated total sleep time by an average of 52 ± 152 min for night-time sleep periods, and by 4 ± 8 min for daytime naps. It is important for athletes and practitioners to be aware of the limitations of wearable devices that automatically detect sleep duration.

Entities:  

Keywords:  Total sleep time; accelerometer; sleep tracker; sport; validity

Mesh:

Year:  2018        PMID: 29750580     DOI: 10.1080/07420528.2018.1466800

Source DB:  PubMed          Journal:  Chronobiol Int        ISSN: 0742-0528            Impact factor:   2.877


  10 in total

Review 1.  Sleep Monitoring in Athletes: Motivation, Methods, Miscalculations and Why it Matters.

Authors:  Shona L Halson
Journal:  Sports Med       Date:  2019-10       Impact factor: 11.136

Review 2.  Sensors Capabilities, Performance, and Use of Consumer Sleep Technology.

Authors:  Massimiliano de Zambotti; Nicola Cellini; Luca Menghini; Michela Sarlo; Fiona C Baker
Journal:  Sleep Med Clin       Date:  2020-01-03

3.  Wearable technologies for developing sleep and circadian biomarkers: a summary of workshop discussions.

Authors:  Christopher M Depner; Philip C Cheng; Jaime K Devine; Seema Khosla; Massimiliano de Zambotti; Rébecca Robillard; Andrew Vakulin; Sean P A Drummond
Journal:  Sleep       Date:  2020-02-13       Impact factor: 5.849

Review 4.  Wearable Sleep Technology in Clinical and Research Settings.

Authors:  Massimiliano de Zambotti; Nicola Cellini; Aimée Goldstone; Ian M Colrain; Fiona C Baker
Journal:  Med Sci Sports Exerc       Date:  2019-07       Impact factor: 5.411

5.  The Impact of Early Morning Training Sessions on Total Sleep Time in Collegiate Athletes.

Authors:  Brandon Merfeld; Austin Mancosky; Joel Luedke; Shalynn Griesmer; Jacob L Erickson; Victoria Carvalho; Andrew R Jagim
Journal:  Int J Exerc Sci       Date:  2022-03-01

6.  Sleep staging using nocturnal sound analysis.

Authors:  Eliran Dafna; Ariel Tarasiuk; Yaniv Zigel
Journal:  Sci Rep       Date:  2018-09-07       Impact factor: 4.379

7.  Accuracy of Wristband Fitbit Models in Assessing Sleep: Systematic Review and Meta-Analysis.

Authors:  Shahab Haghayegh; Sepideh Khoshnevis; Michael H Smolensky; Kenneth R Diller; Richard J Castriotta
Journal:  J Med Internet Res       Date:  2019-11-28       Impact factor: 5.428

8.  The First-Night Effect in Elite Sports: An Initial Glance on Polysomnography in Home-Based Settings.

Authors:  Annika Hof Zum Berge; Michael Kellmann; Sarah Jakowski
Journal:  Front Psychol       Date:  2021-03-25

9.  A Validation of Six Wearable Devices for Estimating Sleep, Heart Rate and Heart Rate Variability in Healthy Adults.

Authors:  Dean J Miller; Charli Sargent; Gregory D Roach
Journal:  Sensors (Basel)       Date:  2022-08-22       Impact factor: 3.847

Review 10.  Clinical Applications of Mobile Health Wearable-Based Sleep Monitoring: Systematic Review.

Authors:  Elise Guillodo; Christophe Lemey; Mathieu Simonnet; Michel Walter; Enrique Baca-García; Vincent Masetti; Sorin Moga; Mark Larsen; Juliette Ropars; Sofian Berrouiguet
Journal:  JMIR Mhealth Uhealth       Date:  2020-04-01       Impact factor: 4.773

  10 in total

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