Evidence map›Paper›PMID 35502231›Full record

ArticleNature and science of sleep2022

Evaluation of Sleep Parameters and Sleep Staging (Slow Wave Sleep) in Athletes by Fitbit Alta HR, a Consumer Sleep Tracking Device.

Yu Kawasaki, Takatoshi Kasai, Yuko Sakurama, Akiko Sekiguchi, Eri Kitamura, Itsuki Midorikawa, Nanako Shiroshita, Fusae Kawana, Etsuko Ogasawara, Mari Kitade and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nature and science of sleep, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  5. Article
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  7. Observational
  8. Article
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  11. Social jet lag and morning blood pressure surge-central nervous system matters?Hypertension research : official journal of the Japanese Society of Hypertension · 2023
    Article
  12. Article
  13. Validation of Fitbit Inspire 2Nature and science of sleep · 2023
    Article
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

12 authors at 2 institutions in 1 country.

Yu KawasakiDepartment of Obstetrics and Gynecology, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID 0000-0002-1205-5477
Takatoshi KasaiDepartment of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID 0000-0001-5747-7668
Yuko SakuramaJapanese Center for Research on Women in Sport, Juntendo University, Tokyo, Japan.
Akiko SekiguchiJapanese Center for Research on Women in Sport, Juntendo University, Tokyo, Japan.
Eri KitamuraDepartment of Obstetrics and Gynecology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Itsuki MidorikawaAkita Northern Happinets, Akita, Japan.
Nanako ShiroshitaDepartment of Cardiovascular Management and Remote Monitoring, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Fusae KawanaCardiovascular Respiratory Sleep Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Etsuko OgasawaraJapanese Center for Research on Women in Sport, Juntendo University, Tokyo, Japan.ORCID 0000-0002-8503-4693
Mari KitadeDepartment of Obstetrics and Gynecology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Natsue KoikawaJapanese Center for Research on Women in Sport, Juntendo University, Tokyo, Japan.
Takao MatsudaDepartment of Gynecology, National Hospital Organization Nishi-Beppu National Hospital, Oita, Japan.
Juntendo University · JPNational Hospital Organization · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Sleep is an essential factor for athletes, and it is important to intervene in sleep to manage it. We need a device that can evaluate sleep easily and constantly. Consumer wearable devices can be useful tools for athletes. In order to use consumer wearable devices in clinical research, it is essential to conduct a validation study. Thus, we conducted a validation study to assess the Fitbit Alta HR Patients and Methods: Forty college athletes participated in the study. EEG was applied to participants simultaneously while wearing FBA. Results: Regarding sleep parameters, there was a strong correlation between the total sleep time (TST)-EEG and the TST-Fitbit (r = 0.83; p < 0.001). Regarding the sleep stages, there was a modest correlation between the N3 sleep-EEG and the N3 sleep-Fitbit (r = 0.68; p < 0.001). In addition, there was a strong correlation between the percentage of N3 sleep in between sleep onset and initial rapid eye movement sleep-EEG and those on Fitbit (r = 0.73; p < 0.001). Conclusion: These results demonstrate that FBA facilitates sleep monitoring and exhibits acceptable agreement with EEG. Therefore, FBA is a useful tool in athletes' sleep management.

Indexed as

athleteselectroencephalogramsleep monitoringwearable technology

Identifiers

PMID35502231
PMCPMC9056106
OpenAlexW4224929874

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.