ArticleInternational journal of environmental research and public health2022
Association of Dietary Patterns with MRI Markers of Hepatic Inflammation and Fibrosis in the MAST4HEALTH Study.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Antioxidant enzymes, oxidative stress, and physiological aging markers in Drosophila melanogaster (Diptera: Drosophilidae): a systematic review with translational perspectives.Journal of insect science (Online) · 2026Pooled it
- Triterpenoids from Chios Mastiha Resin Against MASLD-A Molecular Docking Survey.Current issues in molecular biology · 2025Article
- Association between Dietary Patterns and Metabolic Syndrome Risk Factors: A Cross-Sectional Study of Christian Orthodox Church Fasters and Non-Fasters in Greece.Foods (Basel, Switzerland) · 2023Article
- Plasma Amino Acids in NAFLD Patients with Obesity Are Associated with Steatosis and Fibrosis: Results from the MAST4HEALTH Study.Metabolites · 2023Article
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Authors and funding
22 authors.
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Abstract
Whereas the etiology of non-alcoholic fatty liver disease (NAFLD) is complex, the role of nutrition as a causing and preventive factor is not fully explored. The aim of this study is to associate dietary patterns with magnetic resonance imaging (MRI) parameters in a European population (Greece, Italy, and Serbia) affected by NAFLD. For the first time, iron-corrected T1 (cT1), proton density fat fraction (PDFF), and the liver inflammation fibrosis score (LIF) were examined in relation to diet. A total of 97 obese patients with NAFLD from the MAST4HEALTH study were included in the analysis. A validated semi-quantitative food frequency questionnaire (FFQ) was used to assess the quality of diet and food combinations. Other variables investigated include anthropometric measurements, total type 2 diabetes risk, physical activity level (PAL), and smoking status. Principal component analysis (PCA) was performed to identify dietary patterns. Six dietary patterns were identified, namely "High-Sugar", "Prudent", "Western", "High-Fat and Salt", "Plant-Based", and "Low-Fat Dairy and Poultry". The "Western" pattern was positively associated with cT1 in the unadjusted model (beta: 0.020,
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