Evidence map›Paper›PMID 39761102›Full record

ArticleJMIR formative research2025

Validation of Sleep Measurements of an Actigraphy Watch: Instrument Validation Study.

Mari Waki, Ryohei Nakada, Kayo Waki, Yuki Ban, Ryo Suzuki, Toshimasa Yamauchi, Masaomi Nangaku, Kazuhiko Ohe

Abstract readValidation Study
In one paragraph

Article in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

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

1 citing paper in PubMed.

  1. 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

8 authors.

Mari Waki *Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0009-0004-3610-4271
Ryohei Nakada *Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0009-0002-8430-875X
Kayo WakiDepartment of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0003-0046-2523
Yuki BanDepartment of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0009-0000-1873-8765
Ryo SuzukiDepartment of Diabetes, Metabolism and Endocrinology, Tokyo Medical University, Tokyo, Japan.ORCID 0000-0002-2965-6906
Toshimasa YamauchiDepartment of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0003-4827-6404
Masaomi NangakuDivision of Nephrology and Endocrinology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0001-7401-2934
Kazuhiko OheDepartment of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-4296-9536

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe iAide2 (Tokai) physical activity monitoring system includes diverse measurements and wireless features useful to researchers. The iAide2's sleep measurement capabilities have not been compared to validated sleep measurement standards in any published work.

objectiveWe aimed to assess the iAide2's sleep duration and total sleep time (TST) measurement performance and perform calibration if needed.

methodsWe performed free-living sleep monitoring in 6 convenience-sampled participants without known sleep disorders recruited from within the Waki DTx Laboratory at the Graduate School of Medicine, University of Tokyo. To assess free-living sleep, we validated the iAide2 against a second actigraph that was previously validated against polysomnography, the MotionWatch 8 (MW8; CamNtech Ltd). The participants wore both devices on the nondominant arm, with the MW8 closest to the hand, all day except when bathing. The MW8 and iAide2 assessments both used the MW8 EVENT-marker button to record bedtime and risetime. For the MW8, MotionWare Software (version 1.4.20; CamNtech Ltd) provided TST, and we calculated sleep duration from the sleep onset and sleep offset provided by the software. We used a similar process with the iAide2, using iAide2 software (version 7.0). We analyzed 64 nights and evaluated the agreement between the iAide2 and the MW8 for sleep duration and TST based on intraclass correlation coefficients (ICCs).

resultsThe absolute ICCs (2-way mixed effects, absolute agreement, single measurement) for sleep duration (0.69, 95% CI -0.07 to 0.91) and TST (0.56, 95% CI -0.07 to 0.82) were moderate. The consistency ICC (2-way mixed effects, consistency, single measurement) was excellent for sleep duration (0.91, 95% CI 0.86-0.95) and moderate for TST (0.78, 95% CI 0.67-0.86). We determined a simple calibration approach. After calibration, the ICCs improved to 0.96 (95% CI 0.94-0.98) for sleep duration and 0.82 (95% CI 0.71-0.88) for TST. The results were not sensitive to the specific participants included, with an ICC range of 0.96-0.97 for sleep duration and 0.79-0.87 for TST when applying our calibration equation to data removing one participant at a time and 0.96-0.97 for sleep duration and 0.79-0.86 for TST when recalibrating while removing one participant at a time.

conclusionsThe measurement errors of the uncalibrated iAide2 for both sleep duration and TST seem too large for them to be useful as absolute measurements, though they could be useful as relative measurements. The measurement errors after calibration are low, and the calibration approach is general and robust, validating the use of iAide2's sleep measurement functions alongside its other features in physical activity research.

Indexed as

ActigraphySleepAdultFemaleHumansMaleMiddle AgedPolysomnographyReproducibility of ResultsTime FactorsactigraphyiAide2Motion Watch 8sleeptotal sleep time

Identifiers

PMID39761102
PMCPMC11747538

What OpenQuestion holds

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Registered trials

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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.