The relationship between demographic features, anthropometric parameters, sleep hours, and physical activity and ECG parameters in Fasa Persian cohort study

Abstract

Backgrounds: Cardiovascular Diseases (CVDs) are the first leading cause of death worldwide. The present study aimed to investigate the relationship between demographics, anthropometrics, sleep time, and physical activity and ECG parameters in Fasa Persian cohort study. Methods: In this cross-sectional study, the basic information of 10,000 participants aged 35-70 years in Fasa cohort study was used. The information used in this study included demographic data, main Electrocardiogram (ECG) parameters, anthropometric data, sleep time, and physical activity. Data analysis was performed using t-test, chi-square, and linear regression model. Results: The findings of this study suggested that 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 time was not significantly associated with the ECG parameters. In addition, hypertension was a major comorbidity, which was shown to increase the mean values of the ECG parameters. Conclusion: A number of factors affected the ECG parameters. Thus, in order 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.