Evidence map›Paper›PMID 41560489›Full record

ArticleKorean circulation journal2026

Associations Between Accelerometer-Measured 24-Hour Movement Behaviors and Cardiac Conduction Disease in the UK Biobank Cohort.

Min Kim, Juntae Kim, Eunsun Jang, Daehoon Kim, Pil-Sung Yang, Boyoung Joung

Abstract read
In one paragraph

Article in Korean circulation journal, 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

6 authors.

Min Kim *Division of Cardiology, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-8132-9873
Juntae Kim *Division of Cardiology, Department of Internal Medicine, Dankook University College of Medicine, Cheonan, Korea.ORCID https://orcid.org/0009-0008-1327-1439
Eunsun JangDivision of Cardiology, Department of Internal Medicine, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-6991-4765
Daehoon KimDivision of Cardiology, Department of Internal Medicine, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-9736-450X
Pil-Sung YangDepartment of Internal Medicine, Graduate School, Yonsei University College of Medicine, Seoul, Korea. kskyps@naver.com.ORCID https://orcid.org/0000-0002-6552-1742
Boyoung JoungDivision of Cardiology, Department of Internal Medicine, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Korea. cby6908@yuhs.ac.ORCID https://orcid.org/0000-0001-9036-7225

Funding

Ministry of Health and Welfare RS-2023-00265440
6 · The paper itself

Abstract

BACKGROUND AND

objectivesDaily activity has a distinct hierarchy of movement behaviors. The association between 24-hour movement behaviors and cardiac conduction disease (CCD) remains unclear. We aimed to investigate the association between accelerometer-measured 24-hour movement behaviors and CCD risk.

methodsA total of 92,436 UK Biobank participants who wore wrist accelerometers for 7 consecutive days were included, with a median follow-up of 6.1 years. Multivariable Cox proportional hazards models were used to investigate the associations between 24-hour movement behaviors (sleep, sedentary behavior, light-intensity physical activity [LIPA], and moderate-to-vigorous intensity physical activity [MVPA]) and the risk of CCD. Compositional data analysis was performed to estimate the effects of reallocating time among 24-hour movement behaviors.

resultsAmong the 92,436 participants (median age 58 years; interquartile range, 50-63; 54% female), 1,442 developed incident CCD (2.58 per 1,000 person-years) during the follow-up. Greater sedentary behavior was associated with an increased risk of CCD (hazard ration [HR], 1.05; 95% confidence interval [CI], 1.02-1.08), whereas higher MVPA was associated with a lower risk (HR, 0.83; 95% CI, 0.75-0.92). Sleep duration and LIPA were not significantly associated with CCD risk. Reallocating 30 min/day to MVPA from other movement behaviors was associated with a 4% lower risk of CCD (HR, 0.96; 95% CI, 0.93-0.98). Conversely, reallocating 30 minutes/day to sedentary behavior was associated with a 3% increased risk (HR, 1.03; 95% CI, 1.01-1.05). Similar patterns were observed for specific CCD outcomes, including second- or third-degree atrioventricular block and pacemaker implantation.

conclusionsHigher volumes of MVPA were associated with a lower risk of CCD, whereas increased sedentary behavior was associated with higher risk, highlighting the importance of preventive activity patterns.

Indexed as

Cardiac conduction system diseasePhysical activitySedentary behaviorUK Biobank

Identifiers

PMID41560489
PMCPMC13017065

What Socratic holds

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LicenceCC BY-NC
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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.