Evidence map›Paper›PMID 41542883›Full record

ArticleCirculation reports2026

Wearable Device-Measured Physical Activity for Predicting Hospitalization-Associated Disability in Older Patients With Heart Failure.

Yosuke Yoshida, Satoshi Okayama, Daisuke Fujihara, Megumi Fukui, Midori Taniyama, Ayami Yamada, Naoki Doi, Runa Takahashi, Shingo Ogaki, Yumi Kondo and 14 more

Abstract read
In one paragraph

Article in Circulation reports, 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

24 authors.

Yosuke YoshidaDepartment of Rehabilitation, Nara Prefectural Seiwa Medical Center Nara Japan.
Satoshi OkayamaDepartment of Rehabilitation, Nara Prefectural Seiwa Medical Center Nara Japan.
Daisuke FujiharaDepartment of Rehabilitation, Nara Prefectural Seiwa Medical Center Nara Japan.
Megumi FukuiDepartment of Rehabilitation, Nara Prefectural Seiwa Medical Center Nara Japan.
Midori TaniyamaDepartment of Rehabilitation, Nara Prefectural Seiwa Medical Center Nara Japan.
Ayami YamadaDepartment of Rehabilitation, Nara Prefectural Seiwa Medical Center Nara Japan.
Naoki DoiDepartment of Rehabilitation, Nara Prefectural Seiwa Medical Center Nara Japan.
Runa TakahashiDepartment of Rehabilitation, Nara Prefectural Seiwa Medical Center Nara Japan.
Shingo OgakiDepartment of Rehabilitation, Nara Prefectural Seiwa Medical Center Nara Japan.
Yumi KondoDepartment of Cardiovascular Medicine, Nara Prefectural Seiwa Medical Center Nara Japan.
Tomohito InoueDepartment of Cardiovascular Medicine, Nara Prefectural Seiwa Medical Center Nara Japan.
Sho IshizukaDepartment of Cardiovascular Medicine, Nara Prefectural Seiwa Medical Center Nara Japan.
Rina OnishiDepartment of Cardiovascular Medicine, Nara Prefectural Seiwa Medical Center Nara Japan.
Mayu WatanabeDepartment of Critical Care Medicine, Nara Prefectural Seiwa Medical Center Nara Japan.
Satoharu HattoriDepartment of Cardiovascular Medicine, Nara Prefectural Seiwa Medical Center Nara Japan.
Atsushi IwaiDepartment of Cardiovascular Medicine, Nara Prefectural Seiwa Medical Center Nara Japan.
Daisuke KamonDepartment of Cardiovascular Medicine, Nara Prefectural Seiwa Medical Center Nara Japan.
Yutaka GoryoDepartment of Cardiovascular Medicine, Nara Prefectural Seiwa Medical Center Nara Japan.
Hajime FujimotoDepartment of Cardiovascular Medicine, Nara Prefectural Seiwa Medical Center Nara Japan.
Megumi SuzukiDepartment of Cardiovascular Medicine, Nara Prefectural Seiwa Medical Center Nara Japan.
Michitaka NakamuraDepartment of Critical Care Medicine, Nara Prefectural Seiwa Medical Center Nara Japan.
Makoto WatanabeDepartment of Cardiovascular Medicine, Nara Prefectural Seiwa Medical Center Nara Japan.
Naofumi DoiDepartment of Cardiovascular Medicine, Nara Prefectural Seiwa Medical Center Nara Japan.
Yoshihiko SaitoDepartment of Cardiovascular Medicine, Nara Prefectural Seiwa Medical Center Nara Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hospitalization-associated disability (HAD) is linked to poor post-discharge outcomes in older individuals with heart failure (HF). We investigated whether HAD could be predicted by physical activity measured using a wearable device. Methods and Results: We retrospectively analyzed data from 104 older individuals with HF whose physical activity was recorded for 3 consecutive days after initiating cardiac rehabilitation. Physical activity was categorized as sedentary behavior (≤1.5 metabolic equivalents [METs]), light-intensity physical activity (LPA; 1.6-2.9 METs), and moderate-to-vigorous physical activity (≥3.0 METs). HAD was observed in 31 (29.8%) individuals. LPA duration was significantly shorter in the HAD than non-HAD group (mean [±SD] 45.7±24.9 vs. 121.2±67.4 min/day; P<0.0001). In receiver operating characteristic curve analysis, the optimal LPA cut-off was 68 min/day, with 87.1% sensitivity and 80.8% specificity (area under the curve=0.888; P<0.0001). Conclusions: Physical activity measured using a wearable device may be useful in predicting HAD in older individuals with HF.

Indexed as

FrailtyHeart failureHospitalization-associated disabilityOlder agePhysical activity

Identifiers

PMID41542883
PMCPMC12782908

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LicenceCC BY-NC-ND
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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.