Beibei Luo, Wenbo Xu, Dan Ye, Xuejing Bai, Mengna Wu, Chunting Zhang, Rui Shi

Clinical Laboratory, People’s Hospital of Yuxi City, the Sixth Affiliated Hospital of Kunming Medical University, Yuxi City, Yunnan Province, 653100, People’s Republic of China

Correspondence: Wenbo Xu, Clinical Laboratory, People’s Hospital of Yuxi City, the Sixth Affiliated Hospital of Kunming Medical University, 21 Nieer Road, Yuxi City, Yunnan Province, 653100, People’s Republic of China, Email xwb103196@sina.com

Introduction: Dyslipidemia commonly complicates type 2 diabetes mellitus, yet the relationship between glycosylated hemoglobin and blood lipid levels remains uncertain.
Methods: 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.
Results: 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.
Conclusion: HbA1c was positively correlated with TC, TG, LDL-C, and negatively correlated with HDL-C in the population in the central Yunnan Plateau.

Keywords: dyslipidemia, HbA1c, lipid profile