Evidence map›Paper›PMID 41729926›Full record

ArticlePloS one2026

Comparison of consumer-grade wearable devices with a research-grade instrument for measuring physical activity in a free-living setting.

Takuya Miwa, Kazuma Mii, Ryouichi Chatani, Yasuo Sugitani

Abstract readComparative Study
In one paragraph

Article in PloS one, 2026. 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

4 authors.

Takuya MiwaTranslational Research Division, Chugai Pharmaceutical Co., Ltd., Tokyo, Japan.ORCID https://orcid.org/0009-0001-9181-1604
Kazuma MiiClinical Development Division, Chugai Pharmaceutical Co., Ltd., Tokyo, Japan.
Ryouichi ChataniClinical Development Division, Chugai Pharmaceutical Co., Ltd., Tokyo, Japan.
Yasuo SugitaniClinical Development Division, Chugai Pharmaceutical Co., Ltd., Tokyo, Japan.ORCID https://orcid.org/0000-0003-2291-0323

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWearable accelerometer devices are now widely used in both research and daily life settings. This study aimed to compare the accuracy of three commercially available consumer-grade activity monitors with the medical-grade ActiGraph device in a free-living setting in Japan.

methodsThirty-six office workers were enrolled and provided with an ActiGraph. Data were analyzed from participants who also wore Apple Watch (n = 21), Fitbit (n = 22), and Oura Ring (n = 5) over a 3-week period. Step count, physical activity energy expenditure (PAEE), and moderate-to-vigorous physical activity (MVPA) data were collected from all devices. Data were analyzed using correlation coefficients, mean differences, and Bland-Altman plots.

resultsActiGraph data confirmed comparable physical activity levels across the participant subgroups, ensuring a valid basis for the subsequent inter-device comparisons. Step counts were largely consistent across devices, with Apple Watch and Oura Ring measurements within 10% of ActiGraph measurements (mean percentage differences 2.12% and -6.24%, respectively), while the Fitbit overestimated step count by 18.00%. MVPA showed greater variability, with Apple Watch and Oura Ring underestimating by 46.22% and 11.64% respectively, whereas the Fitbit showed minimal mean difference (0.62%). PAEE showed the largest discrepancies, with Apple Watch and Fitbit overestimating by 25.91% and 139.19% respectively, and Oura Ring underestimating by 16.87%. Correlation coefficients were strong for step counts (r = 0.84-0.92) but lower for MVPA and PAEE across all devices. Bland-Altman analysis revealed proportional bias in the Fitbit's PAEE and the Apple Watch's MVPA, with errors increasing at higher activity levels.

conclusionStep counts were largely consistent with the ActiGraph for most devices; however, the Fitbit showed a notable overestimation. However, the ability of those devices to accurately measure MVPA and PAEE appeared to be more limited, particularly at higher activity levels. These findings underscore that the selection of a consumer-grade wearable for research or clinical use must be carefully guided by the specific metric of interest. However, the findings for the Oura Ring should be interpreted with caution due to the small sample size.

Indexed as

AccelerometryActigraphyExerciseMonitoring, AmbulatoryWearable Electronic DevicesAdultEnergy MetabolismFemaleHumansJapanMaleMiddle Aged

Identifiers

PMID41729926
PMCPMC12928483

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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.