Evidence map›Paper›PMID 30625225›Full record

ArticlePloS one2019

The validity of two commercially-available sleep trackers and actigraphy for assessment of sleep parameters in obstructive sleep apnea patients.

Alexia Gruwez, Anne-Violette Bruyneel, Marie Bruyneel

Registry-linked trialAbstract readValidation Study
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06606691 (Wearable Technology in the Detection and Evaluation of Sleep-Related Breathing Disorders), which is not on this map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–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.

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
3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Observational
  6. Review
  7. Article
  8. Review
  9. Article
  10. Sleep-wake parameters can be detected in patients with chronic stroke using a multisensor accelerometer: a validation study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2021
    Article
  11. Comparison of subjectively and objectively assessed sleep problems in breast cancer patients starting neoadjuvant chemotherapy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Finding Suitable Clinical Endpoints for a Potential Treatment of a Rare Genetic Disease: the Case of ARID1B.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2020
    Observational
  20. Review
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

3 authors.

Alexia GruwezChest Service, Saint-Pierre University Hospital, Brussels, Belgium and Université Libre de Bruxelles, Brussels, Belgium.
Anne-Violette BruyneelDepartment of physiotherapy, University of Applied Sciences of Western Switzerland, Geneva, Switzerland.ORCID 0000-0003-4764-9336
Marie BruyneelChest Service, Saint-Pierre University Hospital, Brussels, Belgium and Université Libre de Bruxelles, Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe use of activity and sleep trackers that operate through dedicated smartphone applications has become popular in the general population. However, the validity of the data they provide has been disappointing and only Total Sleep Time (TST) is reliably recorded in healthy individuals for any of the devices tested. The purpose of this study was to evaluate the ability of two sleep trackers (Withings pulse 02 (W) and Jawbone Up (U)) to measure sleep parameters in patients suffering from obstructive sleep apnea (OSA).

methodsAll patients evaluated for OSA in our sleep laboratory underwent overnight polysomnography (PSG). PSG was conducted simultaneously with three other devices: two consumer-level sleep monitors (U and W) and one actigraph (Bodymedia SenseWear Pro Armband (SWA)).

resultsOf 36 patients evaluated, 22 (17 men) were diagnosed with OSA (mean apnea-hypopnea index of 37+ 23/h). Single comparisons of sleep trackers (U and W) and actigraph (SWA) were performed. Compared to PSG, SWA correctly assessed TST and Wake After Sleep Onset (WASO), and U and W correctly assessed Time In Bed (TIB) and light sleep. Intraclass correlations (ICC) revealed poor validity for all parameters and devices, except for WASO assessed by SWA.

conclusionsThis is the first study assessing the validity of sleep trackers in OSA patients. In this series, we have confirmed the limited performance of wearable sleep monitors that has been previously observed in healthy subjects. In OSA patients, wearable app-based health technologies provide a good estimation of TIB and light sleep but with very poor ICC.

Indexed as

ActigraphyAdultFemaleHumansMaleMiddle AgedPolysomnographyReproducibility of ResultsSleepSleep Apnea, ObstructiveWearable Electronic Devices

Identifiers

PMID30625225
PMCPMC6326512

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.