Evidence map›Paper›PMID 30789439›Full record

ReviewMedicine and science in sports and exercise2019

Wearable Sleep Technology in Clinical and Research Settings.

Massimiliano de Zambotti, Nicola Cellini, Aimée Goldstone, Ian M Colrain, Fiona C Baker

4 registry-linked trialsAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Medicine and science in sports and exercise, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 4 registered trials, which are not on this map. Cited by 256 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
256citing papers in PubMed, 8 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

NCT05090995 nacompletednot on this mapstarted 2022, after this paper: background citation

A Photoplethysmography Sensor-based Personalized Feedback Intervention for Heavy-drinking Young Adults Targeting Heart Rate Variability, Resting Heart Rate, and Sleep

TypeinterventionalSponsorYale UniversityRan2022 to 2023Enrolled60ConditionsHeavy Drinking, Harmful, Use, AlcoholArmsBehavioral Self-Management and Feedback, Behavioral Self-Management
NCT06174558 unknown statusnot on this mapstarted 2024, after this paper: background citation

Is My Sleep Tracker Tracking my Sleep? Validation of Two Wearable Fitness Sleep Trackers on Sleep Staging and Nocturnal Hypoxemia in Sleep Medicine Patients Referred for Diagnostic Polysomnogram

TypeobservationalSponsorRespiratory SpecialistsRan2024 to 2024Enrolled86ConditionsObstructive Sleep ApneaArmsSleep Tracking Devices
NCT06606691 completednot on this mapstarted 2025, after this paper: background citation

Wearable Technology in the Detection and Evaluation of Sleep-Related Breathing Disorders

TypeobservationalSponsorUniversidade da CoruñaRan2025 to 2026Enrolled300ConditionsBreathing-Related Sleep Disorder, Sleep Disorder (Disorder)ArmsXiaomi Mi Smart Band 8
NCT07190989 nacompletednot on this mapstarted 2025, after this paper: background citation

Inter-individual Variability of Sleep Outcome Measures in Response to Nutritional Blend Supplementation: a Replicate Crossover Trial

TypeinterventionalSponsorAspire AcademyRan2025 to 2025Enrolled15ConditionsHealthyArmsNutritional Supplement, Maltodextrin (Placebo)
3 · Its place in the literature

Who cites it

256 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  10. Effects of inhaled aromatherapy on sleep quality and cognitive function in older adults: a randomised controlled trial.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
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196 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Massimiliano de ZambottiCenter for Health Sciences, SRI International, Menlo Park, CA.
Nicola CelliniDepartment of General Psychology, University of Padova, Padova, ITALY.
Aimée GoldstoneCenter for Health Sciences, SRI International, Menlo Park, CA.
Ian M ColrainCenter for Health Sciences, SRI International, Menlo Park, CA.
Fiona C BakerCenter for Health Sciences, SRI International, Menlo Park, CA.

Funding

Sex Differences in Autonomic Nervous System Function and Depression Across AdolescenceU01AA021696 · NIAAA · SRI INTERNATIONAL · PI Fiona C Baker · 2012 to 2026
$12.2M
Training CoreU54EB020405 · NIBIB · STANFORD UNIVERSITY · PI DELP, SCOTT L · 2014 to 2018
$11.6M
Sleep and Cardiovascular Health in AdolescenceR01HL139652 · NHLBI · SRI INTERNATIONAL · PI DE ZAMBOTTI, MASSIMILIANO · 2018 to 2021
$2.9M
NHLBI NIH HHS R01 HL139652NIAAA NIH HHS U01 AA021696NIBIB NIH HHS U54 EB020405
6 · The paper itself

Abstract

: The accurate assessment of sleep is critical to better understand and evaluate its role in health and disease. The boom in wearable technology is part of the digital health revolution and is producing many novel, highly sophisticated and relatively inexpensive consumer devices collecting data from multiple sensors and claiming to extract information about users' behaviors, including sleep. These devices are now able to capture different biosignals for determining, for example, HR and its variability, skin conductance, and temperature, in addition to activity. They perform 24/7, generating overwhelmingly large data sets (big data), with the potential of offering an unprecedented window on users' health. Unfortunately, little guidance exists within and outside the scientific sleep community for their use, leading to confusion and controversy about their validity and application. The current state-of-the-art review aims to highlight use, validation and utility of consumer wearable sleep-trackers in clinical practice and research. Guidelines for a standardized assessment of device performance is deemed necessary, and several critical factors (proprietary algorithms, device malfunction, firmware updates) need to be considered before using these devices in clinical and sleep research protocols. Ultimately, wearable sleep technology holds promise for advancing understanding of sleep health; however, a careful path forward needs to be navigated, understanding the benefits and pitfalls of this technology as applied in sleep research and clinical sleep medicine.

Indexed as

Wearable Electronic DevicesActigraphyAge FactorsBiomedical ResearchEquipment FailureHumansMonitoring, PhysiologicPolysomnographyReproducibility of ResultsSleepSleep LatencySleep Wake DisordersWakefulness

Identifiers

PMID30789439
PMCPMC6579636

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.