Background: Dietary pattern (DP) analysis is a statistical method used to evaluate the comprehensive effect of the diet on health. The aim of the study was to assess the relationship between DPs derived in selected population of Lower Silesia and the prevalence of metabolic syndrome (MS) and its components.
Methods: Study group consisted of 1634 individuals enrolled in the Prospective Urban and Rural Epidemiological Study Poland. Dietary intake was estimated using the data from the Food Frequency Questionnaire. DPs were identified using principal component analysis. MS prevalence was evaluated based on the criteria accepted by International Diabetes Federation, American Heart Association and National Heart, Lung and Blood Institute in 2009.
Results: Three DPs were identified. The percentage of individuals with MS was lower in the upper quartile (Q) of the 'fruit & vegetables' DP in comparison with Q1 (40.4 vs. 48.9%). Inverse relationship was observed for 'Western' (Q4 vs. Q1: 50.7 vs. 40.8%) and 'traditional' DPs (51.0 vs. 38.3%). After adjusting for potential confounders, in Q4 of 'traditional' DP higher risk for central obesity was observed compared to Q1 (OR 1.52; 95% CI: 1.10-2.12). Individuals in Q3 of 'fruit & vegetables' DP had lower risk for raised blood pressure in comparison with the bottom Q (OR 0.54; 95% CI: 0.36-0.82).
Conclusions: DP analysis allows to evaluate the synergistic effect of the diet on the MS prevalence. 'Fruit & vegetables' DP, in contrast to 'Western' and 'traditional' DPs, was negatively associated with the prevalence of MS and its components in the study group.
© The Author(s) 2018. Published by Oxford University Press on behalf of the European Public Health Association.