Background: We analyzed the dietary patterns of Brazilian individuals with a self-declared diagnosis of chronic kidney disease (CKD) and explored associations with treatment modality.
Methods: Weekly consumption of 14 food intake markers was analyzed in 839 individuals from the 2013 Brazil National Health Survey with a self-declared diagnosis of CKD undergoing nondialysis (n = 480), dialysis (n = 48), or renal transplant (n = 17) treatment or no CKD treatment (n = 294). Dietary patterns were derived by exploratory factor analysis of food intake groups. Multiple linear regression models, adjusted by sociodemographic and geographical variables, were used to evaluate possible differences in dietary pattern scores between different CKD treatment groups.
Results: Two food patterns were identified: an "Unhealthy" pattern (red meat, sweet sugar beverages, alcoholic beverages, and sweets and a negative loading of chicken, excessive salt, and fish) and a "Healthy" pattern (raw and cooked vegetables, fruits, fresh fruit juice, and milk). The Unhealthy pattern was inversely associated with nondialysis and dialysis treatment (β: -0.20 (95% CI: -0.33; -0.06) and β: -0.80 (-1.16; -0.45), respectively) and the Healthy pattern was positively associated with renal transplant treatment (β: 0.32 (0.03; 0.62)).
Conclusions: Two dietary patterns were identified in Brazilian CKD individuals and these patterns were linked to CKD treatment modality.
Keywords: chronic kidney disease; dietary patterns; exploratory factor analysis; healthy dietary pattern; unhealthy dietary pattern.