ArticlePsychiatry investigation2017
Comparison of Wearable Activity Tracker with Actigraphy for Sleep Evaluation and Circadian Rest-Activity Rhythm Measurement in Healthy Young Adults.
Article in Psychiatry investigation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 44 papers, 1 of them a synthesis 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.
A Randomized, Placebo-Controlled Study of Mindfulness Meditation in Treating Insomnia in Multiple Sclerosis
Effect of Night Float Call on Sleep and Activity Patterns Among Anesthesia Residents
Who cites it
44 citing papers in PubMed, 1 synthesis or guideline pooled it, 103 citations in OpenAlex.
- Accuracy of Wristband Fitbit Models in Assessing Sleep: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2019Pooled it
- Exploring sleep health and circadian rhythm disruption in Sjögren's disease: an accelerometric and self-reported cross-sectional study.Rheumatology (Oxford, England) · 2026Article
- Multidimensional analysis of smartphone overuse in insomnia: Integrating digital phenotyping with clinical assessment.Journal of behavioral addictions · 2026Article
- Diurnal timing and volume of physical activity in relation to metabolic syndrome in US adults: a population-based cohort study.International journal of obesity (2005) · 2025Article
- Relationship between caregiving burden and alterations in circadian rhythms among spousal caregivers of individuals with cognitive impairment.BMC geriatrics · 2025Article
- Machine learning-based prediction of restless legs syndrome using digital phenotypes from wearables and smartphone data.Scientific reports · 2025Article
- Digital phenotyping in bipolar disorder: Using longitudinal Fitbit data and personalized machine learning to predict mood symptomatology.Acta psychiatrica Scandinavica · 2025Article
- Exploring the Psychological and Physiological Insights Through Digital Phenotyping by Analyzing the Discrepancies Between Subjective Insomnia Severity and Activity-Based Objective Sleep Measures: Observational Cohort Study.JMIR mental health · 2025Observational
- Biometrically measured sleep in medical students as a predictor of psychological health and academic experiences in the preclinical years.Medical education online · 2024Article
- Secure and privacy-preserving automated machine learning operations into end-to-end integrated IoT-edge-artificial intelligence-blockchain monitoring system for diabetes mellitus prediction.Computational and structural biotechnology journal · 2024Article
- Assessing sleep in primary brain tumor patients using smart wearables and patient-reported data: Feasibility and interim analysis of an observational study.Neuro-oncology practice · 2024Article
- Sleep Patterns, Pain, and Emotional Functioning in Youth with Inflammatory Bowel Disease.Clinical practice in pediatric psychology · 2024Article
- Circadian dysfunction and cardio-metabolic disorders in humans.Frontiers in endocrinology · 2024Review
- Telepsychiatry in the Treatment of Major Depressive Disorders.Advances in experimental medicine and biology · 2024Review
- Attention to Innate Circadian Rhythm and the Impact of Its Disruption on Diabetes.Diabetes & metabolism journal · 2024Review
- Comparison of Polysomnography, Single-Channel Electroencephalogram, Fitbit, and Sleep Logs in Patients With Psychiatric Disorders: Cross-Sectional Study.Journal of medical Internet research · 2023Article
- Development and validation of a sleep questionnaire, SNoRE 3.0, to evaluate sleep in companion dogs.Scientific reports · 2023Article
- Rest-Activity Rhythm Characteristics Associated With Depression Symptoms in Stroke Survivors.Archives of physical medicine and rehabilitation · 2023Observational
- Machine Learning-Based Prediction of Attention-Deficit/Hyperactivity Disorder and Sleep Problems With Wearable Data in Children.JAMA network open · 2023Article
- Feasibility of wearable activity tracking devices to measure physical activity and sleep change among adolescents with chronic pain-a pilot nonrandomized treatment study.Frontiers in pain research (Lausanne, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe purpose of this study was to evaluate the applicability of data obtained from a wearable activity tracker (Fitbit Charge HR) to medical research. This was performed by comparing the wearable activity tracker (Fitbit Charge HR) with actigraphy (Actiwatch 2) for sleep evaluation and circadian rest-activity rhythm measurement.
methodsSixteen healthy young adults (female participants, 62.5%; mean age, 22.8 years) wore the Fitbit Charge HR and the Actiwatch 2 on the same wrist; a sleep log was recorded over a 14-day period. We compared the sleep variables and circadian rest-activity rhythm measures with Wilcoxon signed-rank tests and Spearman's correlations.
resultsThe periods and acrophases of the circadian rest-activity rhythms and the sleep start times did not differ and correlated significantly between the Fitbit Charge HR and the Actiwatch 2. The Fitbit Charge HR tended to overestimate the sleep durations compared with the Actiwatch 2. However, the sleep durations showed high correlation between the two devices for all days.
conclusionWe found that the Fitbit Charge HR showed high accuracy in sleep evaluation and circadian rest-activity rhythm measurement when compared with actigraphy for healthy young adults. The results suggest that the Fitbit Charge HR could be applicable on medical research as an alternative tool to actigraphy for sleep evaluation and measurement of the circadian rest-activity rhythm.
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.