Evidence map›Paper›PMID 39654949›Full record

ArticleFrontiers in cardiovascular medicine2024

25-year trajectories of physical activity and atrial fibrillation risk: results from the ARIC study.

Tongxin Wang, Xinyi Wang, Tao Zhang, Jie Zhang, Runmin Lai, Jiqian Zhang, Dan Ma, Yan Jia, Qiyu Liu, Qiuyi Li and 4 more

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2024. 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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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

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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

14 authors.

Tongxin Wang *National Clinical Research Center for Chinese Medicine Cardiology, China Academy of Chinese Medical Sciences, Xiyuan Hospital, Haidian, Beijing, China.
Xinyi Wang *National Clinical Research Center for Chinese Medicine Cardiology, China Academy of Chinese Medical Sciences, Xiyuan Hospital, Haidian, Beijing, China.
Tao ZhangHong Kong Baptist University School of Chinese Medicine, Hong Kong, China.
Jie ZhangNational Integrated Traditional and Western Medicine Center for Cardiovascular Disease, China-Japan Friendship Hospital, Beijing, China.
Runmin LaiNational Clinical Research Center for Chinese Medicine Cardiology, China Academy of Chinese Medical Sciences, Xiyuan Hospital, Haidian, Beijing, China.
Jiqian ZhangNational Clinical Research Center for Chinese Medicine Cardiology, China Academy of Chinese Medical Sciences, Xiyuan Hospital, Haidian, Beijing, China.
Dan MaNational Clinical Research Center for Chinese Medicine Cardiology, China Academy of Chinese Medical Sciences, Xiyuan Hospital, Haidian, Beijing, China.
Yan JiaGraduate School, Beijing University of Chinese Medicine, Beijing, China.
Qiyu LiuNational Clinical Research Center for Chinese Medicine Cardiology, China Academy of Chinese Medical Sciences, Xiyuan Hospital, Haidian, Beijing, China.
Qiuyi LiNational Clinical Research Center for Chinese Medicine Cardiology, China Academy of Chinese Medical Sciences, Xiyuan Hospital, Haidian, Beijing, China.
Jundi JiaNational Clinical Research Center for Chinese Medicine Cardiology, China Academy of Chinese Medical Sciences, Xiyuan Hospital, Haidian, Beijing, China.
Wende TianNational Clinical Research Center for Chinese Medicine Cardiology, China Academy of Chinese Medical Sciences, Xiyuan Hospital, Haidian, Beijing, China.
Jianqing JuNational Clinical Research Center for Chinese Medicine Cardiology, China Academy of Chinese Medical Sciences, Xiyuan Hospital, Haidian, Beijing, China.
Hao XuNational Clinical Research Center for Chinese Medicine Cardiology, China Academy of Chinese Medical Sciences, Xiyuan Hospital, Haidian, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The relationship between serial changes in physical activity and the risk of developing atrial fibrillation (AF) has been rarely studied. Objectives: To evaluate the association between changes in physical activity over time and the incidence of AF. Methods: A total of 11,828 participants without AF at baseline (visit 1: 1987-1989) from the ARIC Study were included. Physical activity was measured using the modified Baecke Physical Activity Questionnaire at three different visits between 1987 and 2013. Physical activity trajectories over 25 years were identified using latent class trajectory modeling. The primary outcome was the incidence of AF. Multivariable Cox hazard regression models were used to evaluate the relationship between physical activity trajectories and the incidence of AF. Results: Over a median follow-up of 24 years, 2,108 AF cases (17.8%) occurred. Four distinct physical activity trajectories were identified: light [ Conclusion: Maintaining moderate levels of physical activity is associated with a lower risk of AF, while a decrease in activity from moderate to light levels increases the risk. These findings highlight the importance of sustaining adequate physical activity levels for the prevention of AF.

Indexed as

atherosclerosis risk in communities studyatrial fibrillationlatent class trajectory modelingphysical activityrisk factor

Identifiers

PMID39654949
PMCPMC11626529

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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.