Evidence map›Paper›PMID 40407060›Full record

ArticleJournal of the American Heart Association2025

App-Recorded Daily Step Counts, Sex Differences, and Risk of Cardiovascular Outcomes Among Middle-Aged Population.

Yasuaki Takeji, Akihiro Nomura, Hayato Tada, Soichiro Usui, Kenji Sakata, Takahiro Tabuchi, Masayuki Takamura

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2025. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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.

Yasuaki TakejiDepartment of Cardiovascular Medicine Kanazawa University Graduate School of Medical Sciences Kanazawa Ishikawa Japan.ORCID 0000-0001-7101-0351
Akihiro NomuraDepartment of Cardiovascular Medicine Kanazawa University Graduate School of Medical Sciences Kanazawa Ishikawa Japan.ORCID 0000-0001-6647-8240
Hayato TadaDepartment of Cardiovascular Medicine Kanazawa University Graduate School of Medical Sciences Kanazawa Ishikawa Japan.ORCID 0000-0002-3357-1809
Soichiro UsuiDepartment of Cardiovascular Medicine Kanazawa University Graduate School of Medical Sciences Kanazawa Ishikawa Japan.ORCID 0000-0003-1752-8082
Kenji SakataDepartment of Cardiovascular Medicine Kanazawa University Graduate School of Medical Sciences Kanazawa Ishikawa Japan.
Takahiro TabuchiDivision of Epidemiology, School of Public Health, Graduate School of Medicine Tohoku University Sendai Miyagi Japan.ORCID 0000-0002-1050-3125
Masayuki TakamuraDepartment of Cardiovascular Medicine Kanazawa University Graduate School of Medical Sciences Kanazawa Ishikawa Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLimited data are available on sex-specific associations between daily step counts and cardiovascular events in middle-aged adults.

methodsThis study used the KenCoM Healthcare Database to evaluate sex-specific differences in cardiovascular event risk associated with daily step counts (DSC). The database incorporates DSC data from the KenCoM smartphone app, along with health checkup records and Japanese health insurance claims data. We recruited and enrolled participants using the KenCoM app, registering them in our database between January 2016 and September 2021. The primary outcome was the 5-year cumulative incidence of composite cardiovascular events, including myocardial infarction, stroke, angina pectoris, heart failure, and atrial fibrillation. We compared event rates across quintiles of DSC. The quintiles were defined as follows: Group 1 (<4000 steps/d), Group 2 (4000-5999 steps/d), Group 3 (6000-7999 steps/d), Group 4 (8000-9999 steps/d), and Group 5 (≥10 000 steps/d).

resultsThis study included 73 975 participants (55 612 men and 18 363 women) with a mean age of 44.1±10.1 years. The adjusted risk of 5-year cardiovascular events was significantly lower in Group 5 compared with Group 1 in the entire cohort (adjusted hazard ratio, 0.87 [95% CI, 0.77-0.98];

conclusionsThe highest DSC was associated with a lower risk of cardiovascular events compared with the lowest DSC in men, but not in women, within a middle-aged population.

Indexed as

Cardiovascular DiseasesExerciseMobile ApplicationsAdultDatabases, FactualFemaleHeart Disease Risk FactorsHumansIncidenceJapanMaleMiddle AgedRisk AssessmentRisk FactorsSex FactorsTime Factorscardiovascular diseasedaily step countsmHealth

Identifiers

PMID40407060
PMCPMC12229183

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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.