Statistical methods for the classification and risks for arterial hypertension

Gutiérrez H.Ó.C.; Gutiérrez M.M.C.; Gonzales C.Á.D.; Flores B.P.E. · TECHNO Review. International Technology, Science and Society Review / Revista Internacional de Tecnología, Ciencia y Sociedad (2022) · DOI: 10.37467/revtechno.v11.4399

Resumen

The objectives were to determine the factors associated with high blood pressure. To establish a relationship between the dependent variable hypertension and the independent variables Binary logistic regression taking hypertension as the dependent variable and the independent variables: cardiometabolic, sociocultural and sensory status. In conclusion, multiple linear and logistic regression established an association with age, diabetes, and anemia. The association between diabetes and hypertension has Chi-square Yates of 2.981 and a significance of 0.084< 0.10. The predictive confidence interval for systolic pressure of a person aged 83 years has been determined as: [105, 168]. © GKA Ediciones, authors.

Instituciones: Universidad Nacional de Trujillo; Universidad Nacional del Callao