Association of Dietary Patterns Derived Using Reduced‐Rank Regression With Subclinical Cardiovascular Damage According to Generation and Sex in the STANISLAS Cohort
Résumé
BackgroundThe diet impact on cardiovascular(CV) diseases has been investigated widely, but the association between dietary patterns(DPs) and subclinical CV damage remains unclear. More informative DPs could be provided by considering metabolic syndrome(MetS) components as intermediate markersThis study aimed to identify DPs according to generation and sex using reduced-rank regression(RRR) with MetS components as intermediate markers, and assess their associations with intima-media thickness, left-ventricular mass (LV mass), and pulse-wave velocity (cfPWV) in an initially healthy population based family study. Methods and ResultsThis study included 1527 participants from the STANISLAS cohort fourth examination. DPs were derived using RRR according to generation (G1:age≥50years; G2:age<50years) and sex. Associations between DPs and CV damage were analyzed using multivariable linear regression models.Although identified DP were correlated between generations and sex, qualitative differences were observed: whereas only unhealthy DPs were found for both men generations, healthy DP were identified in G2(“fruity desserts”) and G1(“fiber and w3 oil”) women. The “alcohol”, “Fast food and Alcohol”, “Fried, processed and dairy products”, “meat, starch, sodas, and fat” DPs in G1, G2 men, and in G1, G2 women respectively, were associated with high LV mass[β (95% confidence interval): 0.23(0.10; 0.36); 0.76(0.00; 1.52); 1.71(0.16; 3.26) and 1.80(0.45; 3.14)]. The “alcohol” DP in G1 men was positively associated with cfPWV[0.22(0.09; 0.34)]. Conclusions The DPs that explain the maximum variation in MetS components had different associations with subclinical CV damage across generation and sex. Our results indicate that dietary recommendations should be tailored according to age and sex.
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