Objective:

To evaluate the association between the TyG-WC index and the risk of diastolic dysfunction (DD) in a community-based population of middle-aged and older adults.

Approach:

• Study Design: Cross-sectional study involving 1,413 participants, assessing DD using age-stratified echocardiographic criteria.
• Statistical Analysis: Multivariable logistic regression and restricted cubic splines (RCS) were used to assess associations and dose-response relationships. Machine learning techniques, including LASSO regression and Random Forest models with SHAP, quantified the predictive contrib…

Key Findings:

• TyG-WC was independently associated with an increased risk of DD (OR = 1.002, 95% CI: 1.001-1.004, P < 0.001).
• High TyG-WC group (≥776.5) had a significantly higher risk of DD compared to the low group (OR = 1.656, 95% CI: 1.266-2.166, P < 0.001).
• RCS analysis confirmed a significant linear dose-response relationship (Poverall<0.001).
• The predictive model achieved an AUC of 0.687, indicating incremental value beyond traditional risk factors.
• Subgroup analyses showed significant interactions for hypertension and diabetes status.

Interpretation:

Limitations:

• Cross-sectional design limits causal inference.
• Findings may not be generalizable beyond the studied population.

Conclusion: