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Feeling validated yet? A scoping review of the use of consumer-targeted wearable and mobile technology to measure and improve sleep
Open accessAbstract
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.
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“Proprietary algorithms used for data processing, the lack of access to data by independent scientists, and non-random assignment of device use are also factors that are restricting open engagement between the technology industry and the public at the present time (Baron et al., 2017).”
From A Critical Review of Consumer Wearables, Mobile Applications, and Equipment for Providing Biofeedback, Monitoring Stress, and Sleep in Physically Active Populations (2018) · cites this paper as Baron et al., 2017
In the citing paper
“Proprietary algorithms used for data processing, the lack of access to data by independent scientists, and non-random assignment of device use are also factors that are restricting open engagement between the technology industry and the public at the present time (Baron et al., 2017).”
From A Critical Review of Consumer Wearables, Mobile Applications, and Equipment for Providing Biofeedback, Monitoring Stress, and Sleep in Physically Active Populations (2018) · cites this paper as Baron et al., 2017
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“Scientific validation may be more achievable in healthy populations compared with populations who have certain health conditions (Baron et al., 2017).”
From A Critical Review of Consumer Wearables, Mobile Applications, and Equipment for Providing Biofeedback, Monitoring Stress, and Sleep in Physically Active Populations (2018) · cites this paper as Baron et al., 2017
In the citing paper
“Proprietary algorithms used for data processing, the lack of access to data by independent scientists, and non-random assignment of device use are also factors that are restricting open engagement between the technology industry and the public at the present time (Baron et al., 2017).”
From A Critical Review of Consumer Wearables, Mobile Applications, and Equipment for Providing Biofeedback, Monitoring Stress, and Sleep in Physically Active Populations (2018) · cites this paper as Baron et al., 2017
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Metadata
- Authors
- Baron, K. G., Duffecy, J., Berendsen, M. A., Cheung Mason, I., Lattie, E. G., & Manalo, N. C.
- Affiliations
- Rush University Medical Center (US)
- University of Illinois Chicago (US)
- Northwestern University (US)
- Harvard University (US)
- Corresponding author
- Baron, Kelly Glazer
- Venue
- Sleep Medicine Reviews
- Publisher
- Elsevier BV
- Published
- 2018-08
- Volume
- 40
- Pages
- 151-159
- ISSN
- 1087-0792 (ISSN-L)
- PMC
- PMC6008167
- OpenAlex
- W2778523487
- Cited by
- 186
- References
- 57
- Citations by year
- 2026: 13 · 2025: 22 · 2024: 30 · 2023: 15 · 2022: 23 · 2021: 34 · 2020: 29 · 2019: 17 · 2018: 3
- FWCI
- 2.13
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Sleep Medicine Reviews (acceptedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Foundation for the National Institutes of Health (K08 MH112878, 1K23 HL109110, 5T32 HL007909)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Physiology (medical) › Obstructive Sleep Apnea Research
- Keywords
- wearable devices, mobile health, sleep monitoring, consumer health technology, behavioral interventions, sleep disorders, polysomnography comparison
- MeSH terms
- Wearable Electronic Devices, Humans, Sleep Wake Disorders, Reproducibility of Results, Mobile Applications
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