Waist Circumference-Triglyceride-Glucose Index as a Predictor of Central Obesity-Linked Dyslipidemia and Insulin Resistance: A Clinical Study of 50 Patients in Urban India

Background: Central obesity is strongly associated with insulin resistance and atherogenic dyslipidemia in urban Indian populations. The triglyceride–glucose (TyG) index and its waist-integrated derivative (TyG-WC) have emerged as simple surrogate markers of insulin resistance. Aim of the study was to evaluate the utility of TyGWC index in predicting insulin resistance and central obesity–linked dyslipidemia in a tertiary metabolic clinic setting. Material and Methods: This cross-sectional study included 50 centrally obese adults (waist circumference ≥90 cm in men, ≥80 cm in women). Anthropometric and fasting biochemical parameters (glucose, lipid profile, insulin, HbA1c) were assessed. TyG, TyG-WC, TG/HDL-C ratio, and HOMA-IR were calculated. Correlation and multivariable regression analyses were performed to determine predictors of HOMA-IR. Results: The mean age was 48.6 ± 10.8 years; 56% were male. The mean HOMA-IR was 5.6 ± 2.9, indicating a high prevalence of insulin resistance. TyG-WC showed strong correlation with HOMA-IR (r = 0.74, p < 0.001) and TG/HDL-C ratio (r = 0.81, p < 0.001). In regression analysis, TyG-WC was the strongest independent predictor of HOMA-IR (β = 0.52, p < 0.001), outperforming BMI and age. Conclusion: TyG-WC index is a strong and independent predictor of insulin resistance and central obesity–linked dyslipidemia in urban Indian adults. It represents a simple, inexpensive, and clinically applicable screening tool for identifying high-risk metabolic phenotypes in routine practice.