ArticleBMC cardiovascular disorders2021
The relationship between demographic features, anthropometric parameters, sleep duration, and physical activity with ECG parameters in Fasa Persian cohort study.
Article in BMC cardiovascular disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Multistage Electrocardiographic Profiling for Mental Stress-Induced Myocardial Ischemia in Women: A Prospective, Age-Matched Cohort Study in China.Circulation. Population health and outcomes · 2026Article
- Validation of a Demography-Based Adaptive QT Correction Formula Using Pediatric and Adult Datasets Acquired From Humans and Guinea Pigs.Circulation. Arrhythmia and electrophysiology · 2025Article
- The influence of gender and waist circumference in the association of body fat with cardiometabolic diseases.BMC nutrition · 2025Article
- Association of major and minor ECG abnormalities with traditional cardiovascular risk factors in the general population: a large scale study.Scientific reports · 2024Article
- Autonomous detection of myocarditis based on the fusion of improved quantum genetic algorithm and adaptive differential evolution optimization back propagation neural network.Health information science and systems · 2023Article
- Age and gender differences of basic electrocardiographic values and abnormalities in the general adult population; Tehran Cohort Study.BMC cardiovascular disorders · 2023Article
- Demographic and Methodological Heterogeneity in Electrocardiogram Signals From Guinea Pigs.Frontiers in physiology · 2022Article
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9 authors.
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Abstract
backgroundsCardiovascular Diseases (CVDs) are the first leading cause of death worldwide. The present study aimed to investigate the relationship between demographics, anthropometrics, sleep duration, physical activity, and ECG parameters in the Fasa Persian cohort study.
methodsIn this cross-sectional study, the basic information of 10,000 participants aged 35-70 years in the Fasa cohort study was used. The data used in this study included demographic data, main Electrocardiogram (ECG) parameters, anthropometric data, sleep duration, and physical activity. Data analysis was performed using t-test, chi-square, and linear regression model.
resultsBased on multivariate linear regression analysis results, increased age was significantly associated with all study parameters. Nevertheless, gender and body mass index showed no significant relationship with SV3 and PR. Wrist circumference, hip circumference and waist circumference significantly increased the mean values of the ECG parameters. However, sleep duration was not significantly associated with the ECG parameters. In addition, hypertension was major comorbidity, which was shown to increase the mean values of the ECG parameters.
conclusionSeveral factors affected the ECG parameters. Thus, to interpret ECGs, in addition to age and gender, anthropometric indices, physical activity, and previous history of comorbidities, such as hypertension and ischemic heart disease, should be taken into consideration.
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