IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i6p1265-d152647.html
   My bibliography  Save this article

Comparison of Wearable Trackers’ Ability to Estimate Sleep

Author

Listed:
  • Jung-Min Lee

    (College of Physical Education, Kyung Hee University, Yougin 449-701, Korea)

  • Wonwoo Byun

    (College of Health, Kinesiology, and Recreation, University of Utah, Salt Lake, UT 84112, USA)

  • Alyssa Keill

    (School of Health and Kinesiology, University of Nebraska at Omaha, Omaha, NE 68182, USA)

  • Danae Dinkel

    (School of Health and Kinesiology, University of Nebraska at Omaha, Omaha, NE 68182, USA)

  • Yaewon Seo

    (College of Nursing and Health Innovation, University of Texas at Arlington, Arlington, TX 76019, USA)

Abstract

Tracking physical activity and sleep patterns using wearable trackers has become a current trend. However, little information exists about the comparability of wearable trackers measuring sleep. This study examined the comparability of wearable trackers for estimating sleep measurement with a sleep diary (SD) for three full nights. A convenience sample of 78 adults were recruited in this research with a mean age of 27.6 ± 11.0 years. Comparisons between wearable trackers and sleep outcomes were analyzed using the mean absolute percentage errors, Pearson correlations, Bland–Altman Plots, and equivalent testing. Trackers that showed the greatest equivalence with the SD for total sleep time were the Jawbone UP3 and Fitbit Charge Heart Rate (effect size = 0.09 and 0.23, respectively). The greatest equivalence with the SD for time in bed was seen with the SenseWear Armband, Garmin Vivosmart, and Jawbone UP3 (effect size = 0.09, 0.16, and 0.07, respectively). Some of the wearable trackers resulted in closer approximations to self-reported sleep outcomes than a previously sleep research-grade device, these trackers offer a lower-cost alternative to tracking sleep in healthy populations.

Suggested Citation

  • Jung-Min Lee & Wonwoo Byun & Alyssa Keill & Danae Dinkel & Yaewon Seo, 2018. "Comparison of Wearable Trackers’ Ability to Estimate Sleep," IJERPH, MDPI, vol. 15(6), pages 1-13, June.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:6:p:1265-:d:152647
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/6/1265/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/15/6/1265/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Teresa Arora & Emma Broglia & Dunstan Pushpakumar & Taha Lodhi & Shahrad Taheri, 2013. "An Investigation into the Strength of the Association and Agreement Levels between Subjective and Objective Sleep Duration in Adolescents," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-1, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Thea Schønning & Hanne-Sofie Johnsen Dahl & Benjamin Hummelen & Randi Ulberg, 2022. "Do Sleep Disturbances Improve Following Psychoanalytic Psychotherapy for Adolescent Depression?," IJERPH, MDPI, vol. 19(3), pages 1-12, February.
    2. So Young Kim & Songyong Sim & Sung-Gyun Kim & Hyo Geun Choi, 2015. "Sleep Deprivation Is Associated with Bicycle Accidents and Slip and Fall Injuries in Korean Adolescents," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-12, August.
    3. Francesca De Lise & Valeria Bacaro & Elisabetta Crocetti, 2023. "The Social Side of Sleep: A Systematic Review of the Longitudinal Associations between Peer Relationships and Sleep Quality," IJERPH, MDPI, vol. 20(3), pages 1-22, January.
    4. Regina Hamre & Otto Robert Frans Smith & Oddrun Samdal & Ellen Haug, 2022. "Gaming Behaviors and the Association with Sleep Duration, Social Jetlag, and Difficulties Falling Asleep among Norwegian Adolescents," IJERPH, MDPI, vol. 19(3), pages 1-14, February.
    5. Victoria Garfield, 2019. "The Association Between Body Mass Index (BMI) and Sleep Duration: Where Are We after nearly Two Decades of Epidemiological Research?," IJERPH, MDPI, vol. 16(22), pages 1-12, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:15:y:2018:i:6:p:1265-:d:152647. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.