Literature DB >> 29395985

Feeling validated yet? A scoping review of the use of consumer-targeted wearable and mobile technology to measure and improve sleep.

Kelly Glazer Baron1, Jennifer Duffecy2, Mark A Berendsen3, Ivy Cheung Mason4, Emily G Lattie5, Natalie C Manalo6.   

Abstract

The objectives of this review were to evaluate the use of consumer-targeted wearable and mobile sleep monitoring technology, identify gaps in the literature and determine the potential for use in behavioral interventions. We undertook a scoping review of studies conducted in adult populations using consumer-targeted wearable technology or mobile devices designed to measure and/or improve sleep. After screening for inclusion/exclusion criteria, data were extracted from the articles by two co-authors. Articles included in the search were using wearable or mobile technology to estimate or evaluate sleep, published in English and conducted in adult populations. Our search returned 3897 articles and 43 met our inclusion criteria. Results indicated that the majority of studies focused on validating technology to measure sleep (n = 23) or were observational studies (n = 10). Few studies were used to identify sleep disorders (n = 2), evaluate response to interventions (n = 3) or deliver interventions (n = 5). In conclusion, the use of consumer-targeted wearable and mobile sleep monitoring technology has largely focused on validation of devices and applications compared with polysomnography (PSG) but opportunities exist for observational research and for delivery of behavioral interventions. Multidisciplinary research is needed to determine the uses of these technologies in interventions as well as the use in more diverse populations including sleep disorders and other patient populations.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Mobile devices; Sleep; Sleep apnea; Wearable technology

Mesh:

Year:  2017        PMID: 29395985      PMCID: PMC6008167          DOI: 10.1016/j.smrv.2017.12.002

Source DB:  PubMed          Journal:  Sleep Med Rev        ISSN: 1087-0792            Impact factor:   11.609


  39 in total

1.  Automatically captured sociability and sleep quality in healthy adults.

Authors:  Maryam Butt; Sai T Moturu; Alex Sandy Pentland; Inas Khayal
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2013

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.  Determining Resident Sleep During and After Call With Commercial Sleep Monitoring Devices.

Authors:  Duncan R Morhardt; Amy Luckenbaugh; Cathy Goldstein; Gary J Faerber
Journal:  Urology       Date:  2017-05-10       Impact factor: 2.649

4.  Movement toward a novel activity monitoring device.

Authors:  Hawley E Montgomery-Downs; Salvatore P Insana; Jonathan A Bond
Journal:  Sleep Breath       Date:  2011-10-06       Impact factor: 2.816

5.  Validity of a commercial wearable sleep tracker in adult insomnia disorder patients and good sleepers.

Authors:  Seung-Gul Kang; Jae Myeong Kang; Kwang-Pil Ko; Seon-Cheol Park; Sara Mariani; Jia Weng
Journal:  J Psychosom Res       Date:  2017-03-23       Impact factor: 3.006

6.  A randomized, placebo-controlled trial of online cognitive behavioral therapy for chronic insomnia disorder delivered via an automated media-rich web application.

Authors:  Colin A Espie; Simon D Kyle; Chris Williams; Jason C Ong; Neil J Douglas; Peter Hames; June S L Brown
Journal:  Sleep       Date:  2012-06-01       Impact factor: 5.849

7.  Concurrent Validity of Wearable Activity Trackers Under Free-Living Conditions.

Authors:  Skyler M Brooke; Hyun-Sung An; Seoung-Ki Kang; John M Noble; Kris E Berg; Jung-Min Lee
Journal:  J Strength Cond Res       Date:  2017-04       Impact factor: 3.775

Review 8.  Systematic review of the validity and reliability of consumer-wearable activity trackers.

Authors:  Kelly R Evenson; Michelle M Goto; Robert D Furberg
Journal:  Int J Behav Nutr Phys Act       Date:  2015-12-18       Impact factor: 6.457

9.  A practical validation study of a commercial accelerometer using good and poor sleepers.

Authors:  David L Dickinson; Joseph Cazier; Thomas Cech
Journal:  Health Psychol Open       Date:  2016-11-29

10.  A global quantification of "normal" sleep schedules using smartphone data.

Authors:  Olivia J Walch; Amy Cochran; Daniel B Forger
Journal:  Sci Adv       Date:  2016-05-06       Impact factor: 14.136

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  40 in total

1.  Agreement between actigraphic and polysomnographic measures of sleep in adults with and without chronic conditions: A systematic review and meta-analysis.

Authors:  Samantha Conley; Andrea Knies; Janene Batten; Garrett Ash; Brienne Miner; Youri Hwang; Sangchoon Jeon; Nancy S Redeker
Journal:  Sleep Med Rev       Date:  2019-05-13       Impact factor: 11.609

2.  Investigating the within-person relationships between activity levels and sleep duration using Fitbit data.

Authors:  Yue Liao; Michael C Robertson; Andrea Winne; Ivan H C Wu; Thuan A Le; Diwakar D Balachandran; Karen M Basen-Engquist
Journal:  Transl Behav Med       Date:  2021-03-16       Impact factor: 3.046

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.  Real-Time Monitoring of Suicide Risk among Adolescents: Potential Barriers, Possible Solutions, and Future Directions.

Authors:  Evan M Kleiman; Catherine R Glenn; Richard T Liu
Journal:  J Clin Child Adolesc Psychol       Date:  2019-09-27

5.  A standardized framework for testing the performance of sleep-tracking technology: step-by-step guidelines and open-source code.

Authors:  Luca Menghini; Nicola Cellini; Aimee Goldstone; Fiona C Baker; Massimiliano de Zambotti
Journal:  Sleep       Date:  2021-02-12       Impact factor: 5.849

6.  Validation of sleep measurement in a multisensor consumer grade wearable device in healthy young adults.

Authors:  Jennifer C Kanady; Leslie Ruoff; Laura D Straus; Jonathan Varbel; Thomas Metzler; Anne Richards; Sabra S Inslicht; Aoife O'Donovan; Jennifer Hlavin; Thomas C Neylan
Journal:  J Clin Sleep Med       Date:  2020-06-15       Impact factor: 4.062

7.  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

8.  Wrist Wearables: More Questions than Answers?

Authors:  Jacob F Collen; Carla M York
Journal:  J Clin Sleep Med       Date:  2019-08-15       Impact factor: 4.062

Review 9.  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

Review 10.  Dietary Fibre Intervention for Gut Microbiota, Sleep, and Mental Health in Adults with Irritable Bowel Syndrome: A Scoping Review.

Authors:  Ran Yan; Lesley Andrew; Evania Marlow; Kanita Kunaratnam; Amanda Devine; Ian C Dunican; Claus T Christophersen
Journal:  Nutrients       Date:  2021-06-23       Impact factor: 5.717

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