Trial reportInternational journal of environmental research and public health2018
Comparison of Wearable Trackers' Ability to Estimate Sleep.
Trial report in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
49 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Quality Evaluation of Free-living Validation Studies for the Assessment of 24-Hour Physical Behavior in Adults via Wearables: Systematic Review.JMIR mHealth and uHealth · 2022Pooled it
- Accuracy of Wristband Fitbit Models in Assessing Sleep: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2019Pooled it
- Smart bracelet to assess physical activity after cardiac surgery: A prospective study.PloS one · 2020Trial
- Psychophysical stress and strain of maritime pilots in Germany. A cross-sectional study.PloS one · 2019Trial
- Beyond self-report: The relationship between daily social media use and sleep in university students.British journal of health psychology · 2026Article
- Review
- Sleep Quality of Persons with Dementia and Family Caregivers in Korean Americans: Wearable Technology to Study the Dyadic Association.Western journal of nursing research · 2025Observational
- 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
- Twenty-four hour physical activity, sedentary behaviour and sleep profiles in adults living with rheumatoid arthritis: a cross-sectional latent class analysis.Journal of activity, sedentary and sleep behaviors · 2024Article
- Assessing the daily association of sleep hygiene behaviours with sleep: A between and within persons approach.Journal of behavioral medicine · 2024Article
- A probabilistic computation framework to estimate the dawn phenomenon in type 2 diabetes using continuous glucose monitoring.Scientific reports · 2024Article
- Nonlinear Heart Rate Variability Analysis for Sleep Stage Classification Using Integration of Ballistocardiogram and Apple Watch.Nature and science of sleep · 2024Article
- Ambient Teens Sleep Study: Protocol for a co-produced feasibility study in adolescents using a contactless radar-based sleep sensor.PloS one · 2024Article
- Comparison of Polysomnography, Single-Channel Electroencephalogram, Fitbit, and Sleep Logs in Patients With Psychiatric Disorders: Cross-Sectional Study.Journal of medical Internet research · 2023Article
- Stress Monitoring Using Machine Learning, IoT and Wearable Sensors.Sensors (Basel, Switzerland) · 2023Article
- Resident Sleep During Traditional Home Call Compared to Night Float.Journal of academic ophthalmology (2017) · 2023Article
- Quality of Sleep Data Validation From the Xiaomi Mi Band 5 Against Polysomnography: Comparison Study.Journal of medical Internet research · 2023Article
- Sleep Signal Analysis for Early Detection of Alzheimer's Disease and Related Dementia (ADRD).IEEE journal of biomedical and health informatics · 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
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tracking physical activity and sleep patterns using wearable trackers has become a current trend. However, little information exists about the comparability of wearable trackers measuring sleep. This study examined the comparability of wearable trackers for estimating sleep measurement with a sleep diary (SD) for three full nights. A convenience sample of 78 adults were recruited in this research with a mean age of 27.6 ± 11.0 years. Comparisons between wearable trackers and sleep outcomes were analyzed using the mean absolute percentage errors, Pearson correlations, Bland⁻Altman Plots, and equivalent testing. Trackers that showed the greatest equivalence with the SD for total sleep time were the Jawbone UP3 and Fitbit Charge Heart Rate (effect size = 0.09 and 0.23, respectively). The greatest equivalence with the SD for time in bed was seen with the SenseWear Armband, Garmin Vivosmart, and Jawbone UP3 (effect size = 0.09, 0.16, and 0.07, respectively). Some of the wearable trackers resulted in closer approximations to self-reported sleep outcomes than a previously sleep research-grade device, these trackers offer a lower-cost alternative to tracking sleep in healthy populations.
Indexed as
Identifiers
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.