Literature DB >> 23141101

Cross-sectional associations between macronutrient intake and chronic kidney disease in a population at high cardiovascular risk.

Andrés Díaz-López1, Mònica Bulló, Josep Basora, Miguel Ángel Martínez-González, Marta Guasch-Ferré, Ramon Estruch, Julia Wärnberg, Lluís Serra-Majem, Fernando Arós, José Lapetra, Emilio Ros, Xavier Pintó, María Isabel Covas, Jordi Salas-Salvadó.   

Abstract

BACKGROUND & AIMS: The aim was to examine the associations between macronutrient intake and the prevalence of chronic kidney disease (CKD) or microalbuminuria (MiA) in individuals at high cardiovascular risk.
METHODS: Cross-sectional analyses conducted in 2123 nondiabetic individuals from the PREDIMED study. Dietary data were collected using a food-frequency questionnaire. Analysis of covariance was used to assess associations between quartiles of nutrient intake and estimated glomerular filtration rate (eGFR) or urinary albumin-to-creatinine ratio (ACR). The odds ratio (OR) for the presence of CKD or MiA according to quartiles of nutrient intake was assessed by logistic regression models.
RESULTS: Individuals in the highest quartile of n-6 polyunsaturated fatty acid (PUFA) intake showed lower average eGFR. Individuals in the top quartile of fiber intake had a decreased risk of CKD [OR: 0.68; 95% CI: 0.48-0.95]. Conversely, subjects in the highest quartile of n-6 PUFA intake showed an increased risk of CKD [OR: 1.44; 95% CI: 1.03-2.01]. No significant associations were found between the intake of other macronutrients and eGFR, urinary ACR or risk of CKD or MiA.
CONCLUSIONS: A high fiber intake was associated with a decreased risk of CKD, while a high n-6 PUFA intake was inversely associated with eGFR and directly associated with an increased risk of CKD.
Copyright © 2012 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

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Year:  2012        PMID: 23141101     DOI: 10.1016/j.clnu.2012.10.013

Source DB:  PubMed          Journal:  Clin Nutr        ISSN: 0261-5614            Impact factor:   7.324


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