Evidence mapPaperPMID 41170486Full record

ArticleFrontiers in public health2025

Epidemiological patterns and occupational predictors of electrocardiographic abnormalities in seafarers: a multicenter health screening analysis.

Can Cui, Hui Zhu

Abstract readMulticenter Study
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

2 authors.

Can CuiDepartment of Health Medicine, General Hospital of The Yangtze River Shipping, Wuhan Brain Hospital, Wuhan, China.
Hui ZhuDepartment of Health Medicine, General Hospital of The Yangtze River Shipping, Wuhan Brain Hospital, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To analyze the results of seafarers' health checkups, to understand the physical health status of seafarers and the high incidence of diseases, and to investigate the factors related to the abnormalities of electrocardiograms (ECG) of seafarers, so as to provide theoretical basis for improving the health level of seafarers and formulating the health intervention plan for seafarers. Methods: 10,174 seafarers who underwent health checkups at the Yangtze River Shipping General Hospital from January 2024 to December 2024 were selected as the survey subjects, and clinical data such as their general conditions, ECG and other functional examinations, and biochemical indicators were extracted. SPSS 26.0 software was used for statistical analysis to understand the disease composition of seafarers' health checkups, and single-factor analysis and multifactor logistic regression analysis were used to explore the influencing factors of seafarers' abnormal ECG results. Results: Abnormal body mass index (BMI), abdominal obesity, refractive error, liver function abnormality, ECG abnormality, high blood pressure, high fasting blood glucose and other abnormalities were more common in the health checkup of seafarers. Among them, abnormal ECG is mainly classified into myocardial ischemia/infarction and arrhythmia. Fatty liver and urinary stones were common in ultrasound examination of seafarers over 40 years old. High blood pressure, high fasting blood glucose and smoking were risk factors for abnormal ECG results. Conclusion: Carrying out the health management of seafarers, strengthening the health education of seafarers with high prevalence of diseases, dynamically tracking the abnormal results of seafarers' physical examination, and increasing the prevention and control of cardiovascular diseases in seafarers' group can effectively improve the comprehensive health level of seafarers' group.

Indexed as

ElectrocardiographyMass ScreeningOccupational DiseasesShipsAdultChinaFemaleHealth StatusHumansMaleMiddle AgedRisk FactorsECG abnormalitieshealth managementmarine safetyrisk factorsseafarers

Identifiers

PMID41170486
PMCPMC12568659

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.