Confluence of Heart Rate and Body Mass Index - An Original Research

The heart rate variability (HRV) is a method of monitoring the difference between heartbeats with the help of Poincaré plots. There is a core relationship and dependency between the two variables such as heart rate variability and body mass index (BMI), in individuals, especially young adult females. The study cohesively finds several important key information through authentic evidence and literature review. Also, explores the different dimensions of these aspects in this study of the concept of physiology. The research had integrated randomised controlled trials as its selected research method, with purposive sampling applied for selection of 70 young adult female participants. The participants had been divided on a 50%-50% basis into a study group (N = 35 participants; 50% sample) and a control group (N = 35 participants; 50% sample). The findings had been evaluated under the variables of BMI and frequency domains and time domains of the HRV under correlation analysis, preceded by demographic and anthropometric evaluation of participant means. The findings of this research outline the mean participant age in study group and control at 23.57 ±33 and 23.46 ± 5.40 respectively, and noted the average BMI for study group and control group at 30.61 ± 4.42 kg/m² and 20.86 ± 3.32 kg/m² respectively. The findings also indicate the presence of a weak yet positive correlation between BMI as anthropometric variable and the no frequency parameter in heart rate variability frequency domain and SDNN parameter in time domain of HRV. In conclusion the research poses a need for increasing empirical research on the probability of weak positive correlation between BMI and HRV among young adult females under indication of sympathetic and autonomic nervous system evaluation.