Evidence map›Paper›PMID 40396939›Full record

ArticleJACC. Asia2025

Association Between Modifiable Lifestyle Factors and Incident Cardiac Conduction Disease.

Jiwen Zhong, Rui Tang, Liuxin Li, Wei Zheng, Shuohua Chen, Jun Feng, Jingli Qu, Xi Wang, Yu Yin, Yu Yuan and 1 more

Abstract read
In one paragraph

Article in JACC. Asia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Jiwen ZhongZhuhai People's Hospital (Zhuhai Clinical Medical College of Jinan University), Zhuhai, Guangdong, China.
Rui TangDepartment of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (lncubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Liuxin LiGraduate School, North China University of Science and Technology, Tangshan, China.
Wei ZhengZhuhai People's Hospital (Zhuhai Clinical Medical College of Jinan University), Zhuhai, Guangdong, China.
Shuohua ChenDepartment of Cardiology, Kailuan General Hospital, Tangshan, China.
Jun FengZuhua Minzu Hospital, Tangshan, China.
Jingli QuDepartment of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (lncubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xi WangDepartment of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (lncubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yu YinDepartment of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (lncubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yu YuanDepartment of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (lncubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. Electronic address: yuyuan8hust@163.com.
Shouling WuDepartment of Cardiology, Kailuan General Hospital, Tangshan, China. Electronic address: drwusl@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe associations between modifiable lifestyles and cardiac conduction disease (CCD) are poorly studied.

objectivesThis study aimed to prospectively assess the association between modifiable lifestyle factors and incident CCD.

methodsA total of 89,377 participants (aged 18-90 years) free of CCD at baseline were enrolled in the Kailuan cohort. Lifestyle factors, including smoking, alcohol consumption, physical activity, sedentary behavior, and nighttime sleep duration, were collected to test the relations of both baseline and long-term lifestyle factors with incident CCD.

resultsDuring 1,226,634.1 person-years of follow-up (median: 14.1 years; Q1-Q3: 13.8-14.2 years), 3,723 CCD cases (3.04 per 1,000 person-years; 95% CI: 2.94-3.13 person-years) were identified. Compared with the participants who had healthy lifestyles at baseline, the adjusted HRs for participants who consumed alcohol ≥5 drinks per day, had sedentary behavior ≥4 hours per day, and had night sleep ≥9 hours per day were 1.16 (95% CI: 1.04-1.32), 1.12 (95% CI: 1.03-1.22), and 1.32 (95% CI: 1.02-1.68), respectively. Furthermore, compared with the participants adhered to long-term healthy lifestyles, the adjusted HRs for participants who chronically consumed alcohol ≥5 drinks per day, had sedentary behavior ≥4 hours per day, and had night sleep ≥9 hours per day were 2.16 (95% CI: 1.68-2.79), 1.77 (95% CI: 1.50-2.09), and 1.67 (95% CI: 1.25-2.24), respectively.

conclusionsThe study revealed excessive alcohol consumption, high sedentary behavior, and longer sleep duration were associated with higher risks of CCD in adults. The findings supported the beneficial impact of a low-risk lifestyle on the primary prevention of CCD.

Indexed as

cardiac alcohol consumptionconduction diseaselifestyle factorsnighttime sleep durationsedentary behavior

Identifiers

PMID40396939
PMCPMC12277195

What OpenQuestion holds

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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.