Hypertension is multifactorial!

Background: Hypertension has been, worldwide, considered a multifactorial disease. This study aims to prove the multifactorial of hypertension and suggest a new line of research on improving stratification scores for risk identification for high blood pressure. Methods: This is a quantitative, an observational cross-sectional, descriptive and experimental. Statistical analysis was performed multivariate linear regression, the variables were adjusted step by step estimated using logistic regression to allow potential imbalance between blood pressure and the selected variable was considered the level of significance of p <0.05. Following the creation of seven models of adjustments to arrive at the eighth and final model. Results: Finding a result was to prove statistically that hypertension is a multifactorial disease, checking that all variables alone do not reach significance only in the constant array with p≤0,000. Conclusions: Creating arrays and risk profiles search assign different approaches of HA and not only drug therapy vision, noting that the creation of these profiles can open different avenues for prevention. Substantiating that the best way of applying the prevention and treatment of hypertension is based on changes in behavioral habits and life.