Uncovering non-linear dietary predictors of cardiovascular disease risk in older adults with periodontitis: a cross-sectional analysis - PubMed
21 hours ago
- #periodontitis
- #dietary predictors
- #cardiovascular disease
- The study explores if periodontitis changes how diet affects CVD risk in older adults using data from NHANES and MPED.
- Machine learning models, especially XGBoost, showed high predictive accuracy with AUC-ROC of 0.854 and 0.889.
- Key protective factors identified include theobromine, lycopene, meat, whole grains, and sweets in older adults with periodontitis.
- External validation confirmed red meat and sweets reduce CVD risk, while green vegetables did not show significance in this group.
- Periodontitis inflammation may reverse dietary CVD risks, making higher meat and sugar intake protective in this context.