Literature DB >> 33757392

How are Consumer Sleep Technology Data Being Used to Deliver Behavioral Sleep Medicine Interventions? A Systematic Review.

K Glazer Baron1, E Culnan2, J Duffecy3, M Berendson4, I Cheung Mason5, E Lattie4, N Manalo6.   

Abstract

BACKGROUND: The rapid growth of consumer sleep technology demonstrates the population's interest in measuring sleep. However, the extent to which these devices can be used in the delivery of behavioral sleep interventions is currently unknown. The objectives of this systematic review were to evaluate the use of consumer sleep technology (wearable and mobile) in behavioral sleep medicine interventions, identify gaps in the literature and potential future directions.
METHODS: We completed a scoping review of studies conducted in adult populations that used consumer sleep tracking technology to deliver sleep-related interventions.
RESULTS: Our initial search returned 4,538 articles and 14 articles met our inclusion/exclusion criteria. Results demonstrated that wearable devices are being used for two main purposes: 1. To deliver treatment for insomnia and 2. Sleep monitoring as part of overall wellness programs. Half of the articles reviewed (n = 7) used consumer sleep technology in a cognitive behavioral therapy for insomnia. The majority of the studies reviewed (n = 10) were fully digital, without human intervention, and only two small studies evaluated interventions delivered with and without a sleep tracking device.
CONCLUSIONS: These studies demonstrate opportunities to utilize consumer sleep trackers in insomnia treatment and wellness programs, but most new and innovative interventions are in the early, feasibility stages. Future research is needed to determine how to leverage wearables to improve existing behavioral sleep treatments and determine how this technology can engage patients and reduce barriers to behavioral sleep medicine interventions.

Entities:  

Mesh:

Year:  2021        PMID: 33757392      PMCID: PMC8493561          DOI: 10.1080/15402002.2021.1898397

Source DB:  PubMed          Journal:  Behav Sleep Med        ISSN: 1540-2002            Impact factor:   2.964


  20 in total

1.  Evening use of light-emitting eReaders negatively affects sleep, circadian timing, and next-morning alertness.

Authors:  Anne-Marie Chang; Daniel Aeschbach; Jeanne F Duffy; Charles A Czeisler
Journal:  Proc Natl Acad Sci U S A       Date:  2014-12-22       Impact factor: 11.205

2.  Guidance for conducting systematic scoping reviews.

Authors:  Micah D J Peters; Christina M Godfrey; Hanan Khalil; Patricia McInerney; Deborah Parker; Cassia Baldini Soares
Journal:  Int J Evid Based Healthc       Date:  2015-09

3.  Predictors of Intervention Interest Among Individuals With Short Sleep Duration.

Authors:  Elizabeth C Adkins; Olivia DeYonker; Jennifer Duffecy; Stephanie A Hooker; Kelly Glazer Baron
Journal:  J Clin Sleep Med       Date:  2019-08-15       Impact factor: 4.062

4.  The effects of sleep extension on cardiometabolic risk factors: A systematic review.

Authors:  Rob H P Henst; Paula R Pienaar; Laura C Roden; Dale E Rae
Journal:  J Sleep Res       Date:  2019-06-05       Impact factor: 3.981

5.  Behavioral and psychological treatments for chronic insomnia disorder in adults: an American Academy of Sleep Medicine systematic review, meta-analysis, and GRADE assessment.

Authors:  Jack D Edinger; J Todd Arnedt; Suzanne M Bertisch; Colleen E Carney; John J Harrington; Kenneth L Lichstein; Michael J Sateia; Wendy M Troxel; Eric S Zhou; Uzma Kazmi; Jonathan L Heald; Jennifer L Martin
Journal:  J Clin Sleep Med       Date:  2021-02-01       Impact factor: 4.062

6.  Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation.

Authors:  Larissa Shamseer; David Moher; Mike Clarke; Davina Ghersi; Alessandro Liberati; Mark Petticrew; Paul Shekelle; Lesley A Stewart
Journal:  BMJ       Date:  2015-01-02

Review 7.  Can Mobile Phone Apps Influence People's Health Behavior Change? An Evidence Review.

Authors:  Jing Zhao; Becky Freeman; Mu Li
Journal:  J Med Internet Res       Date:  2016-10-31       Impact factor: 5.428

Review 8.  Mobile Phone Interventions for Sleep Disorders and Sleep Quality: Systematic Review.

Authors:  Jong Cheol Shin; Julia Kim; Diana Grigsby-Toussaint
Journal:  JMIR Mhealth Uhealth       Date:  2017-09-07       Impact factor: 4.773

9.  Development of a Just-in-Time Adaptive mHealth Intervention for Insomnia: Usability Study.

Authors:  I Wayan Pulantara; Bambang Parmanto; Anne Germain
Journal:  JMIR Hum Factors       Date:  2018-05-17

10.  A Mobile Sleep-Management Learning System for Improving Students' Sleeping Habits by Integrating a Self-Regulated Learning Strategy: Randomized Controlled Trial.

Authors:  Hui-Chun Chu; Yi-Meng Liu; Fan-Ray Kuo
Journal:  JMIR Mhealth Uhealth       Date:  2018-10-29       Impact factor: 4.773

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  2 in total

1.  The Effects of Objective Push-Type Sleep Feedback on Habitual Sleep Behavior and Momentary Symptoms in Daily Life: mHealth Intervention Trial Using a Health Care Internet of Things System.

Authors:  Hiroki Takeuchi; Kaori Suwa; Akifumi Kishi; Toru Nakamura; Kazuhiro Yoshiuchi; Yoshiharu Yamamoto
Journal:  JMIR Mhealth Uhealth       Date:  2022-10-06       Impact factor: 4.947

2.  Technical, Regulatory, Economic, and Trust Issues Preventing Successful Integration of Sensors into the Mainstream Consumer Wearables Market.

Authors:  Jaime K Devine; Lindsay P Schwartz; Steven R Hursh
Journal:  Sensors (Basel)       Date:  2022-04-02       Impact factor: 3.576

  2 in total

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