| Dietary patterns and metabolic syndrome factors in a non-diabetic Italian population. | |
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MedLine Citation:
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PMID: 19144241 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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OBJECTIVE: To examine the relationship between dietary patterns and metabolic syndrome. DESIGN: Population-based cross-sectional study. The K-means clustering method was used to identify dietary patterns and logistic regression models were used to compare the adjusted prevalence rates of metabolic syndrome factors, stratifying by obesity status. SETTING: The 1992-3 Italian Bollate Eye Study, a population-based survey carried out in the town of Bollate (Milan), Italy. SUBJECTS: A total of 1052 non-diabetic Italian subjects, 527 men and 525 women, aged 42-74 years. RESULTS: Five dietary clusters were identified: common, animal products, starch, vegetal/fat and vitamin/fibre. After adjusting for potential confounders, the starch group showed the highest prevalence of metabolic syndrome (36%) followed by the animal products group (30%); the vitamin/fibre (20%) and vegetal/fat groups (19%) showed the lowest prevalence. The starch group had more dyslipidaemia (higher TAG and lower HDL cholesterol levels) and the animal products group had a higher prevalence of impaired fasting glucose. The vitamin/fibre group had the lowest prevalence of abdominal obesity. The beneficial effect of the vegetal/fat and vitamin/fibre dietary patterns seemed stronger among the obese. CONCLUSIONS: Our results confirm the deleterious effect of a very-low-fat, high-carbohydrate diet and also of high intakes of animal products. The consumption of a diet high in vegetal fats or rich in fruits and vegetables is associated with a healthier metabolic profile. Reducing obesity is essential to prevent metabolic syndrome, but even among the obese dietary habits are important for preserving healthy lipid and glycaemic profiles. |
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Authors:
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Maria Léa Corrêa Leite; Alfredo Nicolosi |
Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2009-01-15 |
Journal Detail:
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Title: Public health nutrition Volume: 12 ISSN: 1475-2727 ISO Abbreviation: Public Health Nutr Publication Date: 2009 Sep |
Date Detail:
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Created Date: 2009-08-06 Completed Date: 2009-11-09 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9808463 Medline TA: Public Health Nutr Country: England |
Other Details:
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Languages: eng Pagination: 1494-503 Citation Subset: IM |
Affiliation:
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Department of Epidemiology and Medical Informatics, Institute of Biomedical Technologies, National Research Council, Via Fratelli Cervi 93, 20090 Segrate, Milan, Italy. lea.correa@itb.cnr.it |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adult Aged Blood Glucose / analysis Cluster Analysis Cross-Sectional Studies Diet / classification, trends* Diet, Fat-Restricted Dietary Carbohydrates / administration & dosage, adverse effects, metabolism Dyslipidemias / blood, epidemiology, etiology* Female Humans Italy / epidemiology Logistic Models Male Meat Metabolic Syndrome X / blood, epidemiology, etiology* Middle Aged Obesity / blood, complications*, epidemiology Prevalence Risk Factors Starch / administration & dosage, adverse effects, metabolism Vegetables |
| Chemical | |
Reg. No./Substance:
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0/Blood Glucose; 0/Dietary Carbohydrates; 9005-25-8/Starch |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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