RESUMO
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). DP were identified at baseline applying three statistical methods: Factor Analysis (FA), Treelet Transform (TT), and Reduced Rank Regression (RRR). The association between DP and adiposity indicators (weight, body mass index, waist circumference, body fat percentage and fat mass index) over the period of 8.2 years of follow-up was assessed by linear mixed-models. RESULTS: Convenience DP, marked by unhealthy food groups, was associated with higher adiposity over the follow-up period, regardless of the method applied. The DP identified by TT and marked by high consumption of rice and beans was associated with lower adiposity, whereas the similar DP identified by FA, but additionally characterised by consumption of poultry and red meat was associated with higher adiposity. Prudent DP, marked by plant-based food groups and fish, identified by FA was associated with lower adiposity across the median follow-up time. CONCLUSION: Applying different methods to identify DP showed that a convenience DP was associated with higher adiposity independent of the method applied. We also identified the nuances within adherence to a Brazilian traditional dietary pattern characterised by the consumption of rice and beans, that only when combined with reduced consumption of animal protein and unhealthy foods was associated with lower adiposity over time.
RESUMO
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. Scree plot, eigenvalues > 1 and interpretability were considered to retain the factors. CAC was measured using a computed tomography scanner and an electrocardiography-gated prospective Ca score examination and was categorised into three groups based on the CAC score: 0, 1-100 and >100 Agatston units. Multinomial regression models were conducted for dietary patterns and CAC severity categories. SETTING: Brazil, São Paulo, 2008-2010. PARTICIPANTS: Active and retired civil servants who lived in São Paulo and underwent a CAC exam were included (n 4025). RESULTS: Around 10 % of participants (294 men, 97 women) had a detectable CAC (>0), 6·5 % (182 men, 73 women) had a CAC of 1-100 and 3·5 % (110 men, 23 women) had a CAC > 100. Three dietary patterns were identified: convenience food, which was positively associated with atherosclerotic calcification; plant-based and dairy food, which showed no association with CAC; and the traditional Brazilian food pattern (rice, legumes and meats), which was inversely associated with atherosclerotic calcification. CONCLUSIONS: Our results showed that a dietary pattern consisting of traditional Brazilian foods could be important to reducing the risk of atherosclerotic calcification and prevent future cardiovascular events, whereas a convenience dietary pattern was positively associated with this outcome.
