Observational studyJMIR mHealth and uHealth2020
Feasibility and Acceptability of Wearable Sleep Electroencephalogram Device Use in Adolescents: Observational Study.
Observational study in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03843762 (Harnessing Sleep/Circadian Rhythm Data as a Biomarker to Mitigate Health Risks), which is not on this map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Harnessing Sleep/Circadian Rhythm Data as a Biomarker to Mitigate Health Risks
Who cites it
12 citing papers in PubMed, 19 citations in OpenAlex.
- Assessing the Real-World, Long-Term Impact of Lemborexant on Sleep Quality in a Home-Based Clinical Study.Nature and science of sleep · 2024Trial
- Prospective User Perceptions and Acceptability of a Wearable Fetal Heart Monitor: Cross-Sectional Survey.JMIR formative research · 2026Article
- Leveraging convenient wearable technology to assess adolescent sleep: physical and behavioral health correlates of single-channel sleep electroencephalogram in a community sample of youth.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026Article
- School Start Times in Alabama.The Journal of school health · 2026Article
- Preschool attention and sleep support (PASS): protocol for a pilot feasibility randomized clinical trial.Frontiers in sleep · 2025Article
- Human Factors, Human-Centered Design, and Usability of Sensor-Based Digital Health Technologies: Scoping Review.Journal of medical Internet research · 2024Article
- Attributes, Methods, and Frameworks Used to Evaluate Wearables and Their Companion mHealth Apps: Scoping Review.JMIR mHealth and uHealth · 2024Article
- Remote collection of electrophysiological data with brain wearables: opportunities and challenges.Bioelectronic medicine · 2023Review
- Validation of Fitbit Inspire 2Nature and science of sleep · 2023Article
- Impact of daily caffeine intake and timing on electroencephalogram-measured sleep in adolescents.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2022Article
- Physiological sleep measures predict time to 15-year mortality in community adults: Application of a novel machine learning framework.Journal of sleep research · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundAdolescence is an important life stage for the development of healthy behaviors, which have a long-lasting impact on health across the lifespan. Sleep undergoes significant changes during adolescence and is linked to physical and psychiatric health; however, sleep is rarely assessed in routine health care settings. Wearable sleep electroencephalogram (EEG) devices may represent user-friendly methods for assessing sleep among adolescents, but no studies to date have examined the feasibility and acceptability of sleep EEG wearables in this age group.
objectiveThe goal of the research was to investigate the feasibility and acceptability of sleep EEG wearable devices among adolescents aged 11 to 17 years.
methodsA total of 104 adolescents aged 11 to 17 years participated in 7 days of at-home sleep recording using a self-administered wearable sleep EEG device (Zmachine Insight+, General Sleep Corporation) as well as a wristworn actigraph. Feasibility was assessed as the number of full nights of successful recording completed by adolescents, and acceptability was measured by the wearable acceptability survey for sleep. Feasibility and acceptability were assessed separately for the sleep EEG device and wristworn actigraph.
resultsA total of 94.2% (98/104) of adolescents successfully recorded at least 1 night of data using the sleep EEG device (mean number of nights 5.42; SD 1.71; median 6, mode 7). A total of 81.6% (84/103) rated the comfort of the device as falling in the comfortable to mildly uncomfortable range while awake. A total of 40.8% (42/103) reported typical sleep while using the device, while 39.8% (41/103) indicated minimal to mild device-related sleep disturbances. A minority (32/104, 30.8%) indicated changes in their sleep position due to device use, and very few (11/103, 10.7%) expressed dissatisfaction with their experience with the device. A similar pattern was observed for the wristworn actigraph device.
conclusionsWearable sleep EEG appears to represent a feasible, acceptable method for sleep assessment among adolescents and may have utility for assessing and treating sleep disturbances at a population level. Future studies with adolescents should evaluate strategies for further improving usability of such devices, assess relationships between sleep EEG-derived metrics and health outcomes, and investigate methods for incorporating data from these devices into emerging digital interventions and applications.
trial registrationClinicalTrials.gov NCT03843762; https://clinicaltrials.gov/ct2/show/NCT03843762.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.