
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: April 13, 2025
Cardiovascular disease (CVD) remains the leading cause of mortality worldwide, particularly among older adults. Identifying modifiable dietary factors associated with CVD prevalence is essential for prevention. This cross-sectional study analyzed 7,341 adults aged ≥ 65 years from NHANES 2007-2018. was defined based on self-reported physician-diagnosed conditions, including coronary heart disease, failure, angina, attack, or stroke. A nutrient-wide association (NWAS) evaluated associations between 56 nutrients and using multivariable logistic regression. Dose-response relationships were assessed restricted cubic spline (RCS) models. Model discrimination receiver operating characteristic (ROC) analysis. Eight significantly after adjusting confounders correcting multiple comparisons: PUFAs 20:4 (OR 0.88, 95% CI 0.80-0.97, P = 0.024), 22:5 0.72, 0.56-0.92, 0.019), 22:6 0.92, 0.87-0.99, 0.032); total choline 0.96, 0.93-0.99, 0.024); cholesterol 0.89, 0.82-0.96, 0.037); protein 0.82, 0.76-0.89, 0.040); vitamin 0.95, 0.91-0.99, 0.045); sugars 0.97, 0.96-0.98, 0.049). Clustering analysis identified protective effects fat-soluble vitamins unsaturated fatty acids. The inclusion these improved model (P < 0.05). key clusters characterized their dose-response relationships. Integrating into predictive models enhances risk discrimination, providing actionable targets prevention strategies in
Language: Английский