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

BMC Cardiovascular Disorders

Sima Afrashteh¹  Alireza Mirahmadizadeh²  Azizallah Dehghan³  Mojtaba Farjam³  Maryam Kazemi³  Zahra Amiri⁴  Kiarash Roustai Geraylow⁵  Mehdi Sharafi⁶  Hossein Fatemian⁶ 

[1] Department of Public Health, School of Public Health, Bushehr University of Medical Sciences, Bushehr, Iran;Non-Communicable Diseases Research Center, Shiraz University of Medical Sciences, Shiraz, Iran;Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran;Noncommunicable Diseases Research Center, Hormozgan University of Medical Sciences, Hormozgan, Iran;Student Research Committee, Semnan University of Medical Sciences, Semnan, Iran;Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran;

关键词: Anthropometric parameters;    Sleep duration;    ECG parameters;    Cohort;   

DOI  :  10.1186/s12872-021-02394-8

来源: Springer

【 摘 要 】

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.

【 授权许可】

CC BY