Association Between Glycated Hemoglobin and the Lipid Profile at the Central Yunnan Plateau: A Retrospective Study.

Abstract

Dyslipidemia commonly complicates type 2 diabetes mellitus, yet the relationship between glycosylated hemoglobin and blood lipid levels remains uncertain. This retrospective cross-sectional study included 27,158 participants from the People's Hospital of Yuxi. Statistical comparisons for continuous variables utilized analysis of variance (ANOVA), while chi-square analysis was employed for categorical variables. Boxplots assessed the concentration, dispersion, and deviation of total cholesterol (TC), triglycerides (TG), low-density lipoprotein (LDL-C), and high-density lipoprotein (HDL-C) distribution. A linear regression analysis examined the association between HbA1c and lipid profile, complemented by a fitting curve to visualize trends. Participants who developed diabetes exhibited higher age and elevated Body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), TC, TG, LDL-C, and FPG levels compared to those without diabetes (p < 0.001). Linear regression analysis demonstrated significant associations between HbA1c values and TC, TG, LDL-C, and HDL-C (p < 0.001). The plotted curve indicated that as TC, TG, and LDL levels increased, HbA1c levels rose, while HDL levels decreased. HbA1c was positively correlated with TC, TG, LDL-C, and negatively correlated with HDL-C in the population in the central Yunnan Plateau.