Modeling on the Perfusion Index for the Students of the Statistics Department at the University of Rajshahi

Our research was to investigate the determinants of perfusion index (PI), which can get into the increase and decrease of PI and also build the model on PI as well as the relationship between PI and different study variables. PI, calculated using a pulse oximeter, shows the ratio of the pulsatile blood flow to the non-pulsatile blood flow or static blood in peripheral tissue. The information of PI, together with their preditors, was collected/measured from the students of Statistics at Rajshahi University, adapting the stratified random sampling through a questionnaire containing 52 questions. Weights, heights, pulse rate, diastolic blood pressure, systolic blood pressure, and perfusion index are recorded by respective measurement tools. Univariate analysis was used to determine significant determinants, and bivariate association and correlation can also be implied. It was found that there was a positive correlation between PI and diastolic blood pressure, PI and weight, PI and exercise time, and PI and eating mangoes. A statistically significant difference was detected between the PI of males and females and smokers and non-smokers (p<0.05). Also, a significant association (p<0.05) was found between blood pressure levels and classes of different PI. Finally, a model was created involving the most significant determinants: sex, smoking status, exercise time, and diastolic blood pressure. As the value of R2 is 0.759, there is a scope for further extension of this research, including the increase of sample size, study variables, and involvement of different age groups of people. PI is the indication of sound health, strength of heart, and way of detecting heart disease, so we should take necessary steps to facilitate exercise time and maintain a healthy life. We also have to eat a healthy diet to raise the perfusion index.