Dietary patterns and adiposity over time - analysis of the ELSA-Brasil.

Purpose: Combining different statistical methods to identify dietary patterns (DP) may provide new insights on how diet is associated with adiposity. This study investigated the association of DP derived from three data-driven methods and adiposity indicators over time.

Methods: This study used data from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil).

Dietary patterns associated with subclinical atherosclerosis: a cross-sectional analysis of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) study.

Objective: To identify dietary patterns associated with subclinical atherosclerosis measured as coronary artery calcification (CAC).

Design: Cross-sectional analysis of data from the Brazilian Longitudinal Study of Adult Health. Dietary data were assessed using a FFQ, and a principal component factor analysis was used to derive the dietary patterns.