Analysis of Risk Factors for Hypertension

Abstract

With the increasing incidence of hypertension, it is particularly important to understand and prevent hypertension. To prevent hypertension, we need to know what factors may lead to its occurrence. This article aims to explore the influence of smoking, diabetes, BMI and other factors on hypertension. Through the analysis of the data provided by Kaggle website, the single factor and multi factor logistic regression analysis methods were used to study the impact of eight variables on hypertension, including gender, age, BMI, recent smoking status, daily smoking volume, diabetes, cholesterol level and heart rate. The results showed that in the univariate analysis, except for gender, all other factors were significantly correlated with hypertension. In this study, smoking was negatively correlated with hypertension, while other factors were positively correlated. However, in the multivariate analysis, smoking status, daily smoking and diabetes decreased significantly. In conclusion, diabetes and smoking still have an impact on hypertension, but this effect may not be so important. People should pay more attention to weight control, but smoking and diabetes also affect hypertension, and we should also pay attention to the impact of smoking and diabetes. For example, smoking will affect cardiovascular disease, and diabetes is still positively related to hypertension in this study.