Body mass index (bmi) related changes of electrocardiogram (ecg) in young adult females

Authors:*Ruqaiya Hasan, Abdul Halim Salim Serafi1 and Aisha Azmat
Int J Biol Med Res. 2020; 11(2): 6990-6994  |  PDF File

Abstract

Abstract The association between body weight and health has received considerable attention and has major potential public health implications. Overweight and obesity are now a global epidemic, associated with increasing rates of non- communicable diseases. Due to lifestyle changes, Saudi Arabia now has one of the highest prevalence rates of overweight and obesity. In contrast, relatively little information is available about health risks including nutrient deficiencies, impaired immunity and female fertility issues of subjects with low body mass index (BMI). The present study aimed to explore the associations between BMI and early changes in ECG components in young adult females. The 100 female participants between 18 to 20 years of age were classified according to their BMI (kg/ m2) into underweight (UW), normal weight (N), overweight (OW) and obese (OB). The electrocardiogram (ECG) recorded for 5 minutes at supine position and a statistical comparison of mean values of different ECG components were carried out between N group and other groups. The UW group showed a significant (p˂0.05) increased mean heart rate (HR)(bpm) with smaller RR and larger QRS and QTc intervals (sec). OW group showed a significant (p˂0.05) higher mean P wave amplitude (mV). OB group subjects represented a significantly (p˂0.05) larger mean QRS, QTc and Tp – Te intervals (sec) with significant smaller mean T wave amplitude (mV). A significant weak positive correlation between BMI (kg/ m2) and heart rate variability (HRV) (m sec) was observed. Whereas, OB and OW groups showed a respective significant and insignificant increase of mean HRV when compared with N group. In conclusion, although the ECG components recorded from various categories of BMI are under normal ranges, still demonstrated significant variations in comparison to normal BMI group can be used as a prognostic tool to predict the future complications related to abnormal body weights.