Míriam Rodríguez-Monforte1, Emília Sánchez2, Francisco Barrio3, Bernardo Costa3, Gemma Flores-Mateo3,4. 1. Blanquerna School of Health Science, Facultat de Ciències de la Salut Blanquerna-Universitat Ramon Llull, Padilla, 326-332, 08025, Barcelona, Spain. miriamrm@blanquerna.url.edu. 2. Blanquerna School of Health Science, Facultat de Ciències de la Salut Blanquerna-Universitat Ramon Llull, Padilla, 326-332, 08025, Barcelona, Spain. 3. Unitat de Suport a la Recerca Tarragona-Reus, Grup d'Investigació en Prevenció de la Diabetis, Institut Universitari d'Investigació en Atenció Primària (IDIAP) Jordi Gol, Tarragona, Barcelona, Catalonia, Spain. 4. CIBERobn Physiopathology of Obesity and Nutrition, Institute of Health Carlos III (ISCIII), Madrid, Spain.
Abstract
PURPOSE: Lifestyle is linked to the risk of developing metabolic syndrome (MetS); however, its relationship with dietary patterns remains unclear. This systematic review and meta-analysis aims to analyse the association of a posteriori dietary patterns with the metabolic syndrome. METHODS: The PubMed, CINAHL and Scopus databases were searched for epidemiological studies of dietary patterns and MetS. The association between dietary patterns and MetS was estimated using a random-effects meta-analysis with 95 % confidence intervals (CIs). RESULTS: A total of 28 cross-sectional studies and three cohort studies were included in the meta-analysis. In a comparison of the highest to the lowest category of prudent/healthy dietary patterns, the pooled odds ratio (OR) for MetS was 0.83 (95 % CI 0.76, 0.90; P for heterogeneity =0.0; and I 2 = 72.1 %) in cross-sectional studies, and the pooled relative risk (RR) for MetS in cohort studies was 0.91 (95 % CI 0.68, 1.21; P for heterogeneity =0.005; I 2 = 81.1 %). The pooled OR for MetS in a comparison of the highest to the lowest category of Western dietary patterns was 1.28 (95 % CI 1.17, 1.40; P for heterogeneity =0.0; and I 2 = 72.0 %) in cross-sectional studies, and the RR was 0.96 (95 % CI 0.53, 1.73; P for heterogeneity =0.102; I 2 = 62.6 %) in cohort studies. CONCLUSIONS: The results from cross-sectional studies showed that a prudent/healthy pattern is associated with a lower prevalence of MetS, whereas a Western/unhealthy is associated with an increased risk for MetS. Additional prospective studies are needed to confirm the association between dietary patterns and MetS.
PURPOSE: Lifestyle is linked to the risk of developing metabolic syndrome (MetS); however, its relationship with dietary patterns remains unclear. This systematic review and meta-analysis aims to analyse the association of a posteriori dietary patterns with the metabolic syndrome. METHODS: The PubMed, CINAHL and Scopus databases were searched for epidemiological studies of dietary patterns and MetS. The association between dietary patterns and MetS was estimated using a random-effects meta-analysis with 95 % confidence intervals (CIs). RESULTS: A total of 28 cross-sectional studies and three cohort studies were included in the meta-analysis. In a comparison of the highest to the lowest category of prudent/healthy dietary patterns, the pooled odds ratio (OR) for MetS was 0.83 (95 % CI 0.76, 0.90; P for heterogeneity =0.0; and I 2 = 72.1 %) in cross-sectional studies, and the pooled relative risk (RR) for MetS in cohort studies was 0.91 (95 % CI 0.68, 1.21; P for heterogeneity =0.005; I 2 = 81.1 %). The pooled OR for MetS in a comparison of the highest to the lowest category of Western dietary patterns was 1.28 (95 % CI 1.17, 1.40; P for heterogeneity =0.0; and I 2 = 72.0 %) in cross-sectional studies, and the RR was 0.96 (95 % CI 0.53, 1.73; P for heterogeneity =0.102; I 2 = 62.6 %) in cohort studies. CONCLUSIONS: The results from cross-sectional studies showed that a prudent/healthy pattern is associated with a lower prevalence of MetS, whereas a Western/unhealthy is associated with an increased risk for MetS. Additional prospective studies are needed to confirm the association between dietary patterns and MetS.
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