Objectives: Diet, one of the main risk factors for both metabolic syndrome (MetS) and non-communicable diseases (NCDs), is a multidimensional feature whose complexity relies on the individual and contextual characteristics of foods. The aim of this study was to build a "diet model" and estimate its relationship with MetS components in two Argentinian populations.
Methods: This was a population-based cross-sectional study that assessed bio-socio-anthropometrical variables and dietary habits using food frequency questionnaires. Dietary patterns (DPs) were drawn out using exploratory factor analysis (EFA). A structural equation model (SEM) was used to explore and confirm theoretical and empirical relationships between DPs and the diet model. The association between individuals' adherence to DPs and MetS were assessed using a multiple logistic regression analysis. We selected two cities in central Argentina according to socio-eco-environmental characteristics. Participants included 493 men and women (1:1 ratio) from 35 to 65 y of age.
Results: We identified four DPs: traditional Argentine (TA; processed meats, meats and eggs, fats, starchy vegetables), prudent (Pr; vegetables, fruits, milk, and yogurt), alcohol and snacks (AS), and sweets (S; candies and sodas). TA and AS DPs were associated with increased waist circumference. The S DP showed a strong effect on hypertension. Moderate adherence to the TA DP was positively associated with dyslipidemia but negatively with hypertension whenever individuals did not adhere to the AS DP. TA was positively correlated to AS and S, but inversely with Pr.
Conclusion: This diet model integrated those food groups in an associative structure describing per se a synthesis of the Argentine dietary habits and their association with three of the five components of MetS.
Keywords: Chronic diseases; Dietary pattern; Nutrition; Population-based study; Structural equation model.
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