SynthesisJMIR mHealth and uHealth2020
Clinical Applications of Mobile Health Wearable-Based Sleep Monitoring: Systematic Review.
Synthesis in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 5 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
71 citing papers in PubMed, 5 syntheses or guidelines pooled it, 165 citations in OpenAlex.
- Applying AI in the Context of the Association Between Device-Based Assessment of Physical Activity and Mental Health: Systematic Review.JMIR mHealth and uHealth · 2025Pooled it
- Effectiveness of Intranasal Corticosteroids for Sleep Disturbances in Patients with Allergic Rhinitis: A Systematic Review and Meta-Analysis.International archives of allergy and immunology · 2025Pooled it
- Exploring the Role of Mobile Apps for Insomnia in Depression: Systematic Review.Journal of medical Internet research · 2024Pooled it
- A systematic review of movement monitoring devices to aid the prediction of pressure ulcers in at-risk adults.International wound journal · 2023Pooled it
- A Systematic Review of Time Series Classification Techniques Used in Biomedical Applications.Sensors (Basel, Switzerland) · 2022Pooled it
- Improving sleep health in paramedics through an app-based intervention: a randomised waitlist control pilot trial.BMC public health · 2024Trial
- Exploring Wearables to Focus on the "Sweet Spot" of Physical Activity and Sleep After Hospitalization: Secondary Analysis.JMIR mHealth and uHealth · 2022Trial
- Feasibility and Effectiveness of Assessing Subhealth Using a Mobile Health Management App (MibyeongBogam) in Early Middle-Aged Koreans: Randomized Controlled Trial.JMIR mHealth and uHealth · 2021Trial
- SleepDepNet: A multi-task transformer model for assessing sleep quality and depression risk from social media narratives.PLOS digital health · 2026Article
- Big data integration for enhanced epidemiological research: insights and directions from NHLBI's workshop.Frontiers in digital health · 2026Article
- The future of paediatric sleep medicine: a blueprint for advancing the field.Journal of sleep research · 2025Review
- Subjective and objective fatigue dynamics in air traffic control.Industrial health · 2025Article
- Preventive circadian medicine: improving health with sleep checkups.Npj biological timing and sleep · 2025Review
- Investigating the Role of Wearable Devices in Facilitating Telehealth Adoption Among the Aging Population: Mediation Analysis of US National Data.JMIR medical informatics · 2025Article
- Multidisciplinary Contributions and Research Trends in eHealth Scholarship (2000-2024): Bibliometric Analysis.Journal of medical Internet research · 2025Article
- Unlocking the Potential of Wear Time of a Wearable Device to Enhance Postpartum Depression Screening and Detection: Cross-Sectional Study.JMIR formative research · 2025Article
- Association Between Depression and the Short Sleep Duration on Weekdays and Weekends in South Korean Adults: A Cross-Sectional Study Using the 2016 and 2018 Korea National Health and Nutrition Examination Survey.Healthcare (Basel, Switzerland) · 2025Article
- Developing Digital Mental Health Tools With Culturally Diverse Parents and Young People: Qualitative User-Centered Design Study.JMIR pediatrics and parenting · 2025Article
- A deep learning-enabled smart garment for accurate and versatile monitoring of sleep conditions in daily life.Proceedings of the National Academy of Sciences of the United States of America · 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
11 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 6 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSleep disorders are a major public health issue. Nearly 1 in 2 people experience sleep disturbances during their lifetime, with a potential harmful impact on well-being and physical and mental health.
objectiveThe aim of this study was to better understand the clinical applications of wearable-based sleep monitoring; therefore, we conducted a review of the literature, including feasibility studies and clinical trials on this topic.
methodsWe searched PubMed, PsycINFO, ScienceDirect, the Cochrane Library, Scopus, and the Web of Science through June 2019. We created the list of keywords based on 2 domains: wearables and sleep. The primary selection criterion was the reporting of clinical trials using wearable devices for sleep recording in adults.
resultsThe initial search identified 645 articles; 19 articles meeting the inclusion criteria were included in the final analysis. In all, 4 categories of the selected articles appeared. Of the 19 studies in this review, 58 % (11/19) were comparison studies with the gold standard, 21% (4/19) were feasibility studies, 15% (3/19) were population comparison studies, and 5% (1/19) assessed the impact of sleep disorders in the clinic. The samples were heterogeneous in size, ranging from 1 to 15,839 patients. Our review shows that mobile-health (mHealth) wearable-based sleep monitoring is feasible. However, we identified some major limitations to the reliability of wearable-based monitoring methods compared with polysomnography.
conclusionsThis review showed that wearables provide acceptable sleep monitoring but with poor reliability. However, wearable mHealth devices appear to be promising tools for ecological monitoring.
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.