The Correlation between Glycemic Parameters (FPG, Hba1c, and Insulin) and Anthropometric Parameters (BMI, WC, WHR, WHTR, BRI, and VAI) among Patients with Type 2 Diabetes Mellitus

The study examined the correlate between glycemic parameters (FPG, HBA1C, and INSULIN) and anthropometric parameters (BMI, WC, WHR, WHTR, BRI, AND VAI) among patients with type 2 diabetes mellitus. In carrying out this study comparative cross-sectional study was adopted. The study population consisted of one hundred (100) diagnosed type 2 diabetic patients and one hundred (100) apparently healthy, age- and sex-matched non-diabetic individuals who served as controls. All participants were aged between 30 and 70 years. Ten (10) mL of venous blood samples were collected from each participant after overnight fast using standard aseptic procedures and distributed into appropriate tubes for the determination of fasting plasma glucose (FPG), glycated hemoglobin (HbA1c), insulin, lipid profile, and oxidative stress markers. Serum and plasma were prepared by centrifugation at 3000 rpm for 10 minutes, while whole blood was used for selected analyses. The samples were analyzed using standard laboratory methods. Data obtained were analyzed using Statistical Package for Social Sciences (SPSS) version 25.0. The results revealed that fasting plasma glucose (FPG) had significant negative correlations with body mass index (BMI) (r = −0.216, p = 0.031) and waist-to-hip ratio (WHR) (r = −0.205, p = 0.041), while a significant positive correlation was observed between FPG and body roundness index (BRI) (r = 0.211, p = 0.035) among patients with type 2 diabetes mellitus. The study concluded that the observed relationships between glycaemic and anthropometric parameters indicate an association between glycaemic status and measures of body size and fat distribution among patients with type 2 diabetes mellitus. One of the recommendations made was that patients with type 2 diabetes mellitus should undergo regular assessment of FPG, HbA1c, and appropriate anthropometric parameters to facilitate effective monitoring of glycemic and metabolic status.