Accuracy of Wristband Fitbit Models in Assessing Sleep: Systematic Review and Meta-Analysis
The University of Texas at Austin · The University of Texas Health Science Center · +1 more institution
Abstract
Background Wearable 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. Objective We conducted a systematic review of publications reporting on the performance of wristband Fitbit models in assessing sleep parameters and stages. Methods In 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…
Citation impact
- FWCI
- 31.22
- Percentile
- 100%
- References
- 45
Authors
5- SHShahab HaghayeghCorresponding
The University of Texas at Austin
- SKSepideh Khoshnevis
The University of Texas at Austin
- MHMichael H. Smolensky
The University of Texas Health Science Center, The University of Texas at Austin
- KRKenneth R. Diller
The University of Texas at Austin
- RJRichard J. Castriotta
University of Southern California
Topics & keywords
- Meta-analysis
- Polysomnography
- PsycINFO
- CINAHL
- Cochrane Library
- Sleep onset
- MEDLINE
- Systematic review
- Reduced inequalities