Cor Vasa 2026, 68(2):150-156 | DOI: 10.33678/cor.2025.092
Association of Triglyceride-Glucose Index and Its Derived Parameters with Metabolic Syndrome in Indonesian Police Officers: A Cross-Sectional Study
- a Department of Cardiology and Vascular Medicine, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia
- b Department of Cardiology and Vascular Medicine, Dr. Soetomo General Academic Hospital, Surabaya, Indonesia
Background: The triglyceride-glucose (TyG) index and its derivatives, TyG-BMI, TyG-WC, and TyG-WHtR, have been linked to metabolic syndrome (MetS) in a number of populations and are known to be surrogate markers for insulin resistance. Their association value, however, can change among various racial and vocational groups.
Objective: To assess the relationship between metabolic syndrome and the triglyceride-glucose index and its related characteristics in Indonesian police officers.
Methods: 3,600 Indonesian police personnel between the ages of 33 and 70 were evaluated in this cross-sectional study (3,201 men and 399 women). The TyG index and its derivatives were computed using anthropometric data and fasting blood samples. The harmonized criteria (≥3 of 5 components) were used to define MetS. To ascertain correlations and discriminative capacities, investigations using receiver operating characteristic (ROC) curves and logistic regression were performed.
Results: Females had greater TyG-WHtR, while males had higher mean values for TyG, TyG-BMI, and TyG-WC. In multivariable models, there were no significant correlations between any of the indices and MetS (p > 0.05). Poor discriminative capacities were found by ROC analysis for TyG (AUC = 0.512), TyG-BMI (0.505), TyG-WC (0.518), and TyG-WHtR (0.519).
Conclusion: The TyG score and its variants did not significantly correlate with MetS in this cross-sectional study of Indonesian police officers, indicating that TyG-based indices may not be very useful in this particular occupational group. These results underline the necessity for population-specific validation and the evaluation of alternative risk markers.
Keywords: Insulin resistance, Metabolic syndrome, Occupational health, TyG index
Received: August 18, 2025; Revised: August 21, 2025; Accepted: September 1, 2025; Prepublished online: June 2, 2012; Published: May 20, 2026 Show citation
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