Evidence map›Paper›PMID 42814647›Full record

ArticleJMIR cardio2026

Assessment of Wrist-Worn Activity Tracker Accuracy for Measuring Sedentary Behavior in Outpatients With Cardiovascular Disease: Validation Study.

Koichi Naito, Kazuhiro P Izawa, Noriaki Maeda, Yuya Kasai, Haruna Tani, Misaki Kondo, Hajime Iwama

Abstract readValidation Study
In one paragraph

Article in JMIR cardio, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Koichi NaitoDepartment of Physical Therapy, Faculty of Medical Science, Nagoya Aoi University, 3-40 Shioji-cho, Mizuho-ku, Nagoya, 4678610, Japan, 81 52-838-5026.ORCID http://orcid.org/0000-0002-5092-686X
Kazuhiro P IzawaDepartment of Health Sciences, Graduate School of Medicine, Kobe University, Kobe, Japan.ORCID http://orcid.org/0000-0001-7262-8903
Noriaki MaedaFaculty of Sport Sciences, Waseda University, Saitama, Japan.ORCID http://orcid.org/0000-0002-4447-8917
Yuya KasaiIwama Cardiovascular and Dental Clinic for Prevention and Care, Kitakatsuragi-gun, Japan.ORCID http://orcid.org/0009-0006-2673-7432
Haruna TaniSapplyM, Inc., Tokyo, Japan.ORCID http://orcid.org/0009-0003-2891-0110
Misaki KondoDepartment of Physical Therapy, Faculty of Medical Science, Nagoya Aoi University, 3-40 Shioji-cho, Mizuho-ku, Nagoya, 4678610, Japan, 81 52-838-5026.ORCID http://orcid.org/0009-0009-2071-5939
Hajime IwamaIwama Cardiovascular and Dental Clinic for Prevention and Care, Kitakatsuragi-gun, Japan.ORCID http://orcid.org/0009-0009-3689-736X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Wearable monitoring of sedentary behavior is increasingly used in digital cardiovascular care, but the validity of consumer-grade wrist-worn trackers in older patients with cardiac issues is unclear. Objective: This study aimed to evaluate the agreement between sedentary time measured by a consumer-grade wrist-worn tracker (Fitbit Inspire 3; Fitbit LLC) and a research-grade waist-worn accelerometer (ActiveStyle Pro HJA-750C; Omron Healthcare Co, Ltd) used as the comparator, in Japanese outpatients with cardiac issues under free-living conditions. Methods: Fifty-one outpatients with heart failure (28/51, 55%) or ischemic heart disease (23/51, 45%; mean age 78.4, SD 9.0 years; 25/51, 49% male) simultaneously wore both devices for 7 consecutive days. Sedentary time was assessed within a standardized 12-hour daytime window (9 AM to 9 PM) at 1-minute epochs. Agreement was examined using Pearson correlation, Bland-Altman analysis (after confirming normality of the paired differences), Lin concordance correlation coefficient (CCC), and Cohen kappa for distribution-based tertile classification. A constant bias correction was applied, with leave-one-out cross-validation (LOOCV) used as an internal-consistency check on the stability of the sample mean bias. Moderators of the bias were explored using multivariable regression. Results: Mean sedentary time within the 12-hour window was 497.9 (SD 86.5) minutes for the comparator and 559.9 (SD 84.3) minutes for the Fitbit. The devices were strongly correlated ( Conclusions: In older Japanese outpatients with cardiac issues, a consumer-grade wrist-worn tracker overestimated sedentary time by approximately 62 minutes within a standardized 12-hour daytime window compared with a waist-worn comparator, with fixed but no proportional bias. A simple constant correction markedly improved group-level concordance (cross-validated CCC≈0.90), supporting calibrated use of consumer wearables for scalable monitoring in ambulatory cardiac care. However, wide limits of agreement constrain individual-level precision, and the population-specific correction factor requires independent validation before transfer to other settings.

Indexed as

AccelerometryCardiovascular DiseasesFitness TrackersOutpatientsSedentary BehaviorWearable Electronic DevicesAgedAged, 80 and overFemaleHumansJapanMaleReproducibility of ResultsWristbland-altmancardiac rehabilitationconcordance correlation coefficientconsumer wearablefitbitsedentary behaviorvalidation studywearable devices

Identifiers

PMID42814647
PMCPMC13626074

What Socratic 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 Socratic graph.