Correlation of Combined Lipid Indices and Triglyceride-Glucose Index as Predictor of Insulin Resistance among Male Police Officers in East Java, Indonesia: A Cross-Sectional Study

Authors

  • Ken Christian Kawilarang Author
  • Meity Ardiana Author
  • Raditya Rizki Muhammad Author
  • Nadya Noor Mulya Putri Author
  • Muhammad Gilang Perdana Author
  • Anthony Martin Author
  • Andi Lestari Rahman Author

Keywords:

Triglyceride-Glucose Index, TyG, Combine Lipid Indices, Male Police Officer

Abstract

Police officers represent a special group with high occupational stress and elevated cardiovascular risk factors. Triglyceride-Glucose Index (TyG) is a marker associated with the resistance of insulin which demonstrated better diagnostic accuracy compared to other indicators. However, there has been limited study investigating the associations combine lipid indices and cardiovascular risk factors related to TyG in a large population of male police officers. From January to June 2024, In East Java Regional Police headquarters, a health screening test was performed on a large population of male police officers. The survey included a total of 2927 male police officers. Laboratory and clinical parameters were measured. The values of combine lipid indices: LCI (Lipoprotein Combine Index), Atherogenic Index/AI (Ratio NonHDL to HDL), Castelli Risk Index I/CRI I (ratio Total cholesterol to HDL), Castelli Risk Index II/CRI II (ratio LDL to HDL), conventional risk factors, lipid profiles, and blood inflammatory parameters were analyzed with TyG using SPSS Software. All participants (100%) of male police officers demonstrated elevated level of TyG as predictor of insulin resistance. There were significant correlations between Castelli Risk Index II (CRI II), Lipoprotein Combined Index (LCI). age, triglyceride, Fasting Glucose, and LDL with TyG. This study found significant associations between various clinical and laboratory parameters, including several combine lipid indices to TyG. New parameters included in this study should be considered as predictors of insulin resistance. Those parameters may also relate to other cardiovascular diseases (CVD).

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Published

2025-10-17