Effects of Gender Differences and Mutual Anthropometric Parameters Associated with Diabetes Risk in the Local General Residents

Abstract

We analyzed the anthropometric parameters affecting the onset of diabetes in the general population with hemoglobin (Hb) A1c as an index, and examined the relationship between gender differences and the measured parameters. In this study, body mass index (BMI), systolic blood pressure, diastolic blood pressure, visceral fat area, body fat percentage, muscle mass, bone density, young adult average value of bone density, HbA1c, and lipid levels were analyzed by sex. A multiple linear regression analysis using HbA1c as an objective variable on 255 subjects (94 men and 161 women) showed a significant positive correlation for age and BMI in both sexes. Moreover, diastolic blood pressure and LDL-cholesterol (LDL) levels were significantly negatively correlated in women. Furthermore, with HbA1c as the objective variable, a regression analysis was performed in which the interaction age or BMI and the other parameters was added to the model in both sexes. In men, the interaction between age and body fat percentage or visceral fat area was observed, and in women, the interaction between age and LDL levels was observed. A simple slope analysis of the interaction between men and visceral fat area and body fat percentage showed a positive correlation in both the elderly and younger groups, and an interaction between women and LDL showed a negative correlation in the elderly groups. These results indicate that age and BMI were involved in HbA1c elevation in both sexes.