Risk Factors for Systolic Blood Pressure in Graduate Students in Academic Institution
Keywords:
systolic blood pressure, multiple regression analysis, linear regressionAbstract
The purpose of this research was to identify influential factors that associated with systolic blood pressure in human. Subjects were randomly sampled from graduate students in an academic institution in Bangkok, Thailand. The samples were between 22-37 years old. Questionnaires were used to gather personal and behavioral information from subjects. Subjects’ systolic blood pressures were measured using a blood pressure monitor. We conducted a multiple regression analysis to evaluate the relationship between risk factors and systolic blood pressure. The result indicated that average number of hours sleep, gender, and salt appetite significantly influenced systolic blood pressure. Our model can predict the systolic blood pressure with 83% accuracy.