ArticleSleep advances : a journal of the Sleep Research Society2025
A performance validation of six commercial wrist-worn wearable sleep-tracking devices for sleep stage scoring compared to polysomnography.
Article in Sleep advances : a journal of the Sleep Research Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07377968 (Efficacy of Wearable Device to Promote CPAP Adherence in Patients With Obstructive Sleep Apnea), which is not on this map. Cited by 27 papers, 1 of them a synthesis that pooled it.
What it found
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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.
Efficacy of Wearable Device to Promote CPAP Adherence in Patients With Obstructive Sleep Apnea (OSA); A Randomized Controlled Trial
Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Wearing Lower-Body Compression Tights to Bed After Cycling Exercise Does Not Affect Subsequent Sleep in Healthy Male Adults.Sensors (Basel, Switzerland) · 2026Trial
- The Influence of 25- and 90-Min Afternoon Nap Opportunities on Subsequent Nighttime Sleep in Student Athletes.Journal of sleep research · 2026Trial
- Implications of Wearable Sleep Health Technology for Cardiovascular Health Assessment and Interventions: A Narrative Review.Arteriosclerosis, thrombosis, and vascular biology · 2026Review
- Sleep Management and Recovery After TBI in Kids (SMART-Kids): Pilot Trial Using Melatonin.Hospital pediatrics · 2026Article
- REM Sleep Correlates of Trait Anxiety in Non-Clinical Adults: The Role of Sex and Age.Journal of sleep research · 2026Article
- Standardized synchronization and validation pipeline for physiological biomarkers across multiple devices.Behavior research methods · 2026Article
- Consumer Smartwatch Technology in Health and Performance Research: Validity, Limitations, and Real-World Applications.Sensors (Basel, Switzerland) · 2026Review
- Mining Association Rules From a Multimodal Dataset of a Digital Therapeutics Application for Sleep Improvement Through a Healthy Lifestyle: Quantitative Study.JMIR formative research · 2026Article
- Wearable technology-derived digital biomarkers for non-invasive assessment of erectile dysfunction: a cross-sectional pilot study.International urology and nephrology · 2026Article
- Benchmarking machine learning architectures for menstrual recovery prediction using physiologically informed synthetic wearable data.Scientific reports · 2026Article
- Depression trajectories and their associations with academic performance and sleep patterns among first-year college students.BMC psychology · 2026Article
- Effects of Shift Work Type on Sleep Quality and Cortisol Regulation Among Nurses: A Prospective Observational Study.International journal of environmental research and public health · 2026Observational
- Performance evaluation of consumer sleep-tracking wearables and nearables in healthy young and older adults.Sleep advances : a journal of the Sleep Research Society · 2026Article
- Associations between multidimensional fatigue and wearable-derived cardio-respiratory variables in post-COVID-19 patients: an observational study.Frontiers in digital health · 2026Article
- Device-measured postpartum sleep and breastfeeding contexts among women in urban Vietnam.Frontiers in public health · 2026Article
- WMRE2030: integrating wearable devices, multi-omics, and artificial intelligence-driven real-time feedback into a daily-scale closed-loop framework for a new era of precision exercise.Frontiers in physiology · 2026Review
- Sleep Quality in Shift-Working Nurses: Subjective and Objective Evaluation.International journal of environmental research and public health · 2025Observational
- Article
- Sensors in Multiple Sclerosis.Current neurology and neuroscience reports · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Study Objectives: The aim of this study is to assess the performance of six different consumer wearable sleep-tracking devices, namely the Fitbit Charge 5, Fitbit Sense, Withings Scanwatch, Garmin Vivosmart 4, Whoop 4.0, and the Apple Watch Series 8, for detecting sleep parameters compared to the gold standard, polysomnography (PSG). Methods: Sixty-two adults (52 males and 10 females, mean age ± Results: The results indicate that most wearables displayed significant differences with PSG for total sleep time, sleep efficiency, wake after sleep onset, and light sleep (LS). Nevertheless, all wearables demonstrated a higher percentage of correctly identified epochs for deep sleep and rapid eye movement sleep compared to wake (W) and LS. All devices detected >90% of sleep epochs (ie, sensitivity), but showed lower specificity (29.39%-52.15%). The Cohen's kappa coefficients of the wearable devices ranged from 0.21 to 0.53, indicating fair to moderate agreement with PSG. Conclusions: Our results indicate that all devices can benefit from further improvement for multistate categorization. However, the devices with higher Cohen's kappa coefficients, such as the Fitbit Sense (κ = 0.42), Fitbit Charge 5 (κ = 0.41), and Apple Watch Series 8 (κ = 0.53), could be effectively used to track prolonged and significant changes in sleep architecture.
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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.