Gender Label-Based Analysis on the Causes of Diabetes in Internet Population

Abstract

This paper analyzes and investigates lifestyle, life quality, etc. of male and female Internet populations to find the factors that affect prevalence of diabetes among populations. Through factor analysis, it is concluded that male and female groups differ greatly inlifestyle, among which smoking frequency is a more prominent factor. By constructing a Logistic model of different genders according to the factor scores, importance of each influencing factor is analyzed, concluding that medical history factor is a significant factor among male group, while age, lifestyle factors, and BMI index are prominent factors among the female group. The factors influencing prevalence of the male and female groups include age, lifestyle and education level. It suggests that to alleviate the disease among the population, we should first focus on health of the middle-aged and elderly people. At the same time, we need raise people’s health awareness, popularize health knowledge, advocate concept of moderate exercise and diet control.