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 relationship of risk factors to the systolic blood pressure. The result indicated that average number of hours sleep per day, sex, and preference of salty food significantly influenced samples’ systolic blood pressure. Our model can predict the systolic blood pressure with 83% accuracy.