Evidence map›Paper›PMID 31778122›Full record

SynthesisJournal of medical Internet research2019

Accuracy of Wristband Fitbit Models in Assessing Sleep: Systematic Review and Meta-Analysis.

Shahab Haghayegh, Sepideh Khoshnevis, Michael H Smolensky, Kenneth R Diller, Richard J Castriotta

2 registry-linked trialsAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2019. 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 239 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
239citing papers in PubMed, 6 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.

NCT06153524 naunknown statusnot on this mapstarted 2023, after this paper: background citation

The Effect of Increasing Physical Activity or Reducing Mobile Phone Use on Mental Health in Young People in Austria: a Randomised Controlled Trial

TypeinterventionalSponsorDanube University KremsRan2023 to 2025Enrolled144ConditionsMental Health IssueArmsPhysical activity, Smartphone time
NCT07401836 narecruitingnot on this mapstarted 2026, after this paper: background citation

Can a Standardized Sleep Bundle Reduce Sleep Disruption After Cardiac Surgery: A Pilot Randomized Controlled Trial

TypeinterventionalSponsorHorizon Health NetworkRan2026 to 2026Enrolled20ConditionsSleepArmsStandardized Sleep Protocol, Usual Post Operative Care
3 · Its place in the literature

Who cites it

239 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Performance of consumer wrist-worn sleep tracking devices compared to polysomnography: a meta-analysis.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
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  9. Heat-TreatedNutrients · 2025
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  13. Comparing sleep measures in cancer survivors: self-reported sleep diary versus objective wearable sleep tracker.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
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179 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.

Shahab HaghayeghDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, United States.ORCID 0000-0002-7232-2637
Sepideh KhoshnevisDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, United States.ORCID 0000-0003-4811-8078
Michael H SmolenskyDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, United States.ORCID 0000-0002-9184-0739
Kenneth R DillerDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, United States.ORCID 0000-0002-5672-5671
Richard J CastriottaDivision of Pulmonary, Critical Care and Sleep Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.ORCID 0000-0003-3502-4558

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWearable sleep monitors are of high interest to consumers and researchers because of their ability to provide estimation of sleep patterns in free-living conditions in a cost-efficient way.

objectiveWe conducted a systematic review of publications reporting on the performance of wristband Fitbit models in assessing sleep parameters and stages.

methodsIn adherence with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement, we comprehensively searched the Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochrane, Embase, MEDLINE, PubMed, PsycINFO, and Web of Science databases using the keyword Fitbit to identify relevant publications meeting predefined inclusion and exclusion criteria.

resultsThe search yielded 3085 candidate articles. After eliminating duplicates and in compliance with inclusion and exclusion criteria, 22 articles qualified for systematic review, with 8 providing quantitative data for meta-analysis. In reference to polysomnography (PSG), nonsleep-staging Fitbit models tended to overestimate total sleep time (TST; range from approximately 7 to 67 mins; effect size=-0.51, P<.001; heterogenicity: I

conclusionsSleep-staging Fitbit models showed promising performance, especially in differentiating wake from sleep. However, although these models are a convenient and economical means for consumers to obtain gross estimates of sleep parameters and time spent in sleep stages, they are of limited specificity and are not a substitute for PSG.

Indexed as

ActigraphyFemaleHumansMaleSleepWristaccuracyactigraphycomparison of performanceFitbitpolysomnographysleep diarysleep stagessleep trackervalidationwearable

Identifiers

PMID31778122
PMCPMC6908975

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.