Association of Dietary Patterns Derived Using Reduced‐Rank Regression With Subclinical Cardiovascular Damage According to Generation and Sex in the STANISLAS Cohort

International audienceBackgroundThe 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