A correlation analysis between TyG-derived indices and diabetes mellitus: based on the NHANES database

Area of Science:

• Metabolic Health
• Diabetes Mellitus Research
• Public Health

Background:

• Diabetes mellitus (DM) presents a significant global health challenge with increasing prevalence.
• The triglyceride-glucose (TyG) index is a recognized marker for insulin resistance and metabolic dysfunction.
• The combined predictive value of the TyG index with central obesity indicators for DM remains incompletely understood.

Purpose of the Study:

• To investigate the relationship between various TyG-derived indices and the risk of developing DM.
• To assess the predictive performance of these indices, particularly when combined with central obesity markers.
• To evaluate the robustness of these associations across different demographic subgroups.

Main Methods:

• Analysis of data from 10,729 participants in the NHANES database, including 1,984 with DM.
• Utilized weighted logistic regression to examine the association between five TyG-derived indices and DM.
• Employed Receiver Operating Characteristic (ROC) curve analysis to compare the predictive capabilities of different indicators.

Main Results:

• All examined TyG-derived indices demonstrated a significant positive association with DM risk.
• TyG-CI and TyG-WWI exhibited superior predictive performance (higher AUC values) compared to the standard TyG index.
• These enhanced indices maintained strong predictive power across gender and age strata, indicating high robustness.

Conclusions:

• TyG-derived indices incorporating central obesity indicators, particularly TyG-CI and TyG-WWI, are effective tools for predicting DM risk.
• These combined indices offer enhanced predictive capability over the standalone TyG index.
• The findings support the utility of TyG-CI and TyG-WWI in identifying individuals at higher risk for diabetes mellitus.