Cited by 146Sleep and related disordersObstructive Sleep Apnea ResearchCircadian rhythm and melatonin

Validity of a commercial wearable sleep tracker in adult insomnia disorder patients and good sleepers

Kang, Seung-Gul, Kang, Jae Myeong, Ko, Kwang-Pil, Park, Seon-Cheol, Mariani, Sara, Weng, Jia·2017·Journal of Psychosomatic Research

Abstract

Objectives To compare the accuracy of the commercial Fitbit Flex device (FF) with polysomnography (PSG; the gold-standard method) in insomnia disorder patients and good sleepers.Methods Participants wore an FF and actigraph while undergoing overnight PSG. Primary outcomes were intraclass correlation coefficients (ICCs) of the total sleep time (TST) and sleep efficiency (SE), and the frequency of clinically acceptable agreement between the FF in normal mode (FFN) and PSG. The sensitivity, specificity, and accuracy of detecting sleep epochs were compared among FFN, actigraphy, and PSG.Results The ICCs of the TST between FFN and PSG in the insomnia (ICC=0.886) and good-sleepers (ICC=0.974) groups were excellent, but the ICC of SE was only fair in both groups. The TST and SE were overestimated for FFN by 6.5min and 1.75%, respectively, in good sleepers, and by 32.9min and 7.9% in the insomnia group with respect to PSG. The frequency of acceptable agreement of FFN and PSG was significantly lower (p=0.006) for the insomnia group (39.4%) than for the good-sleepers group (82.4%). The sensitivity and accuracy of FFN in an epoch-by-epoch comparison with PSG was good and comparable to those of actigraphy, but the specificity was poor in both groups.Conclusions The ICC of TST in the FFN-PSG comparison was excellent in both groups, and the frequency of agreement was high in good sleepers but significantly lower in insomnia patients. These limitations need to be considered when applying commercial sleep trackers for clinical and research purposes in insomnia.

Integrity signals

Registry

Crossref · 10.1016/j.jpsychores.2017.03.009

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

The citation lists haven’t been fetched yet

References 23 · Cited by 146

Authors
Kang, S.-G., Kang, J. M., Ko, K.-P., Park, S.-C., Mariani, S., & Weng, J.
Affiliations
  • Gachon University (KR)
  • Inje University (KR)
  • Brigham and Women's Hospital (US)
Corresponding author
Kang, Seung-Gul
Venue
Journal of Psychosomatic Research
Publisher
Elsevier BV
Published
2017-06
Volume
97
Pages
38-44
ISSN
0022-3999 (ISSN-L)
OpenAlex
W2601294772
Cited by
146
References
23
Citations by year
2026: 7 · 2025: 16 · 2024: 14 · 2023: 19 · 2022: 10 · 2021: 24 · 2020: 22 · 2019: 20 · 2018: 10 · 2017: 4
FWCI
19.80
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Psychosomatic Research (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Ministry of Education (NRF-2013R1A1A2059105)
  • Ministry of Science, ICT and Future Planning (NRF-2011-0013991)
  • National Research Foundation of Korea
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
  • Health Sciences › Medicine › Physiology › Obstructive Sleep Apnea Research
  • Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
Keywords
wearable sleep trackers, insomnia, polysomnography, actigraphy, total sleep time, sleep efficiency, measurement accuracy
MeSH terms
Adolescent, Adult, Female, Humans, Sleep Initiation and Maintenance Disorders, Male, Middle Aged, Reproducibility of Results, Polysomnography, Young Adult, Actigraphy

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review