ReviewFrontiers in psychiatry2021
Current Advances in Wearable Devices and Their Sensors in Patients With Depression.
Review in Frontiers in psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06843187 (Lemborexant for the Treatment of Residual Insomnia in Adequately Treated Major Depressive Disorder), which is not on this map. Cited by 39 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.
Lemborexant for the Treatment of Residual Insomnia in Adequately Treated Major Depressive Disorder: A Pilot Randomized Controlled Trial
Who cites it
39 citing papers in PubMed, 2 syntheses or guidelines pooled it, 110 citations in OpenAlex.
- Exploring depression in adults over a decade: a review of longitudinal studies.BMC psychiatry · 2025Pooled it
- Momentary physiological indices related to eating disorders: A systematic and methodological review.European eating disorders review : the journal of the Eating Disorders Association · 2024Pooled it
- Evaluation of the efficacy of group cognitive behavioral therapy on anxiety in college students based on wearable devices and mobile applications: a randomized controlled trial.BMC psychiatry · 2025Trial
- Prefrontal-bed nucleus of the stria terminalis physiological and neuropsychological biomarkers predict therapeutic outcomes in depression.Nature communications · 2025Trial
- Veteran Monitoring Initiative for Noninvasive Physiology and Depression (V-MIND) Exploring Physical Activity and Mental Health in UK Veterans: Protocol for an Observational Digital Phenotyping Study.JMIR research protocols · 2026Article
- Clinical and Behavioral Outcomes During 4 Weeks of Home-Based Self-Administered Transcranial Direct Current Stimulation in Perinatal Women With Depressive Symptoms: Open-Label Exploratory Pilot Study.JMIR formative research · 2026Article
- Sensor-Equipped Digital Technologies for Monitoring and Detecting Depressive Disorders: A Systematic Review.Health science reports · 2026Review
- Digital Therapeutics and Blended Care in Major Depressive Disorder: Current Evidence and Future Directions.Advances in experimental medicine and biology · 2026Review
- Examining Smartphone-assessed Executive Function Metrics and Intrinsic Resting-State Functional Connectivity in Depression.Research square · 2025Article
- An Enhanced Valence-Arousal Multimodal Emotion Dataset for Emotion Recognition.Scientific data · 2025Article
- Personalization of AI Using Personal Foundation Models Can Lead to More Precise Digital Therapeutics.JMIR AI · 2025Article
- Integration of Multi-Modal Biosensing Approaches for Depression: Current Status, Challenges, and Future Perspectives.Sensors (Basel, Switzerland) · 2025Review
- The Relationship Between Depressive Symptoms and Self-Neglect in Chinese Older Adults Living Alone: A Latent Profile Analysis.Healthcare (Basel, Switzerland) · 2025Article
- App- and Wearable-Based Remote Monitoring for Patients With Myasthenia Gravis and Its Specialists: Feasibility and Usability Study.JMIR formative research · 2025Article
- Digital health monitoring for adults with treatment-resistant depression: Observational feasibility study protocol.PloS one · 2025Article
- A new method for identifying and evaluating depressive disorders in young people based on cognitive neurocomputing: an exploratory study.Frontiers in computational neuroscience · 2025Article
- Accurately predicting mood episodes in mood disorder patients using wearable sleep and circadian rhythm features.NPJ digital medicine · 2024Article
- Trajectories of improvement with repetitive transcranial magnetic stimulation for treatment-resistant major depression in the BRIGhTMIND trial.Npj mental health research · 2024Article
- Developing prediction algorithms for late-life depression using wearable devices: a cohort study protocol.BMJ open · 2024Article
- Optimising the use of electronic medical records for large scale research in psychiatry.Translational psychiatry · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, a literature survey was conducted of research into the development and use of wearable devices and sensors in patients with depression. We collected 18 studies that had investigated wearable devices for assessment, monitoring, or prediction of depression. In this report, we examine the sensors of the various types of wearable devices (e.g., actigraphy units, wristbands, fitness trackers, and smartwatches) and parameters measured through sensors in people with depression. In addition, we discuss future trends, referring to research in other areas employing wearable devices, and suggest the challenges of using wearable devices in the field of depression. Real-time objective monitoring of symptoms and novel approaches for diagnosis and treatment using wearable devices will lead to changes in management of patients with depression. During the process, it is necessary to overcome several issues, including limited types of collected data, reliability, user adherence, and privacy concerns.
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.