ArticleChronobiology international2015
Evaluation of a consumer fitness-tracking device to assess sleep in adults.
Article in Chronobiology international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03795129 (Testing Utility of Commercially Available Sleep Trackers for Physician-Patient Communication Around Sleep Experience, Habits, and Behaviors), which is not on this map. Cited by 53 papers, 3 of them syntheses that pooled it.
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.
Testing Utility of Commercially Available Sleep Trackers for Physician-Patient Communication Around Sleep Experience, Habits, and Behaviors
Who cites it
53 citing papers in PubMed, 3 syntheses or guidelines pooled it, 131 citations in OpenAlex.
- Performance of consumer wrist-worn sleep tracking devices compared to polysomnography: a meta-analysis.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025Pooled it
- Clinical Applications of Mobile Health Wearable-Based Sleep Monitoring: Systematic Review.JMIR mHealth and uHealth · 2020Pooled it
- Systematic review of the validity and reliability of consumer-wearable activity trackers.The international journal of behavioral nutrition and physical activity · 2015Pooled it
- A Feasibility Study: Testing Whether a Sleep Application Providing Objective Sleep Data to Physicians Improves Patient-Physician Communication Regarding Sleep Experiences, Habits, and Behaviors.Advances in therapy · 2022Trial
- Trial
- Comparison of Wearable Trackers' Ability to Estimate Sleep.International journal of environmental research and public health · 2018Trial
- Personalized Machine Learning Intervention to Improve Sleep Quality Using Wearable Technology in Healthy Middle-Aged Adults From Mexico City: Protocol for a Pilot Randomized Controlled Trial.JMIR research protocols · 2026Article
- A performance validation of six commercial wrist-worn wearable sleep-tracking devices for sleep stage scoring compared to polysomnography.Sleep advances : a journal of the Sleep Research Society · 2025Article
- The Influence of Incentive-Based Mobile Fitness Apps on Users' Continuance Intention With Gender Moderation Effects: Quantitative and Qualitative Study.JMIR human factors · 2024Article
- Evaluating reliability in wearable devices for sleep staging.NPJ digital medicine · 2024Review
- Three Contactless Sleep Technologies Compared With Actigraphy and Polysomnography in a Heterogeneous Group of Older Men and Women in a Model of Mild Sleep Disturbance: Sleep Laboratory Study.JMIR mHealth and uHealth · 2023Article
- Pyjamas, Polysomnography and Professional Athletes: The Role of Sleep Tracking Technology in Sport.Sports (Basel, Switzerland) · 2023Review
- Validity of Two Consumer Multisport Activity Tracker and One Accelerometer against Polysomnography for Measuring Sleep Parameters and Vital Data in a Laboratory Setting in Sleep Patients.Sensors (Basel, Switzerland) · 2022Article
- Associations Between Adolescents' Daily Digital Technology Use and Sleep.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2022Article
- Article
- Evaluation of a Low-Cost Commercial Actigraph and Its Potential Use in Detecting Cultural Variations in Physical Activity and Sleep.Sensors (Basel, Switzerland) · 2021Article
- Article
- A Multi-Level Classification Approach for Sleep Stage Prediction With Processed Data Derived From Consumer Wearable Activity Trackers.Frontiers in digital health · 2021Article
- Article
- Sleep Tracking of a Commercially Available Smart Ring and Smartwatch Against Medical-Grade Actigraphy in Everyday Settings: Instrument Validation Study.JMIR mHealth and uHealth · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
Abstract
Wearable fitness-tracker devices are becoming increasingly available. We evaluated the agreement between Jawbone UP and polysomnography (PSG) in assessing sleep in a sample of 28 midlife women. As shown previously, for standard actigraphy, Jawbone UP had high sensitivity in detecting sleep (0.97) and low specificity in detecting wake (0.37). However, it showed good overall agreement with PSG with a maximum of two women falling outside Bland-Altman plot agreement limits. Jawbone UP overestimated PSG total sleep time (26.6 ± 35.3 min) and sleep onset latency (5.2 ± 9.6 min), and underestimated wake after sleep onset (31.2 ± 32.3 min) (p's < 0.05), with greater discrepancies in nights with more disrupted sleep. The low-cost and wide-availability of these fitness-tracker devices may make them an attractive alternative to standard actigraphy in monitoring daily sleep-wake rhythms over several days.
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What OpenQuestion holds
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.