Risk factors and Interaction analysis of Hypertension in People who were Overweight and obesity:Based on Machine Learning and Data Mining

Abstract

Objective To screen the independent risk factors of hypertension in People who were Overweight and obesity by Logistic regression and Decision tree model, and to analyze the two possible interactive risk factors by multiplying interaction scale and adding interaction scale.Methods 5098 People who were Overweight and obesity were selected as the research object. Firstly, Logistic regression and Decision tree model were used to screen the independent risk factors and possible interactive risk factors of hypertension in People who were Overweight and obesity. Finally, the multiplicative scale analysis and additive scale analysis were used to analyze the two possible interactive risk factors from the perspective of statistics and biology.Results Logistic regression showed that NAFLD, FPG, Age, TG, LDL-c, UA and Cr were positively correlated with overweight and obese hypertension, and GFR was negatively correlated with overweight and obese hypertension (P<0.05). The decision tree model suggests that Age, FPG and UA may interact. Multiplication scale analysis showed that FPG+UA, Age UA and Age+FPG had positive multiplication interaction (P<0.05, B≠0, OR > 1). Additive scale analysis shows that Age+UA single factor analysis and multi factor analysis have additive interaction, FPG+UA single factor analysis has additive interaction, multi factor analysis does not have additive interaction, and Age+FPG single factor analysis and multi factor analysis do not have additive interaction.Conclusion The independent risk factors of hypertension in People who were Overweight and obesity include NAFLD, FPG, Age, TG, LDL-c, UA and Cr. Age+UA has statistical and biological synergistic interaction, which can provide a reference for the study of the etiological interaction of hypertension in People who were Overweight and obesity.