Association of Dietary Patterns with Cardiovascular and Kidney Phenotypes in an Uruguayan Population Cohort

Nutrients. 2021 Jun 27;13(7):2213. doi: 10.3390/nu13072213.

Abstract

The impact of habitual diet on chronic diseases has not been extensively characterized in South America. We aimed to identify major dietary patterns (DP) in an adult cohort in Uruguay (Genotype Phenotype and Environment of Hypertension Study-GEFA-HT-UY) and to assess associations with metabolic, anthropometric characteristics, and cardiovascular and kidney phenotypes. In a cross-sectional study (n = 294), DP were derived by the principal component analysis. Blood and urine parameters, anthropometrics, blood pressure, pulse wave velocity, and glomerular filtration rate were measured. Multivariable adjusted linear models and adjusted binary logistic regression were used. Three DP were identified (Meat, Prudent, Cereal and Mate) explaining 22.6% of total variance in food intake. The traditional Meat DP, characterized by red and barbecued meat, processed meat, bread, and soft drinks, was associated with worse blood lipid profile. Prudent DP, characterized by vegetables, fish, and nuts, and lower loads for bread and crackers, was associated with reduced risk of vitamin D deficiency. Cereal and Mate DP, was characterized by higher loads of cereals, bread, and crackers, and mate infusion, with higher odds of excessive body weight. No direct associations of dietary patterns with hypertension, arterial stiffness, chronic kidney disease, and nephrolithiasis were found in the studied population, nor by age categories or sex.

Keywords: cardiovascular phenotypes; dietary patterns; kidney phenotypes; population science; principal component analysis.

MeSH terms

  • Adult
  • Anthropometry
  • Blood Pressure
  • Carbonated Beverages
  • Cardiovascular System*
  • Cross-Sectional Studies
  • Diet*
  • Edible Grain
  • Feeding Behavior
  • Female
  • Humans
  • Hypertension
  • Kidney*
  • Male
  • Meat
  • Middle Aged
  • Phenotype*
  • Prospective Studies
  • Pulse Wave Analysis
  • South America
  • Vegetables