Red Blood Cell Aggregation-Associated Dietary Pattern Predicts Hyperlipidemia and Metabolic Syndrome

作者: Pei Lin , Chun-Chao Chang , Kuo-Ching Yuan , Hsing-Jung Yeh , Sheng-Uei Fang

DOI: 10.3390/NU10081127

关键词:

摘要: Red blood cell (RBC) aggregation and iron status are interrelated strongly influenced by dietary factors, their alterations pose a great risk of dyslipidemia metabolic syndrome (MetS). Currently, RBC aggregation-related patterns remain unclear. This study investigated the that were associated with predictive effects on hyperlipidemia MetS. Anthropometric biochemical data food frequency questionnaires collected from 212 adults. Dietary derived using reduced rank regression 32 groups. Adjusted linear showed hepcidin, soluble CD163, serum transferrin saturation (%TS) independently predicted (all p < 0.01). Age-, sex-, log-transformed body mass index (BMI)-adjusted prevalence rate ratio (PRR) significant positive correlation between (p-trend 0.05). iron-related pattern scores (high consumption noodles deep-fried foods low intake steamed, boiled, raw food, dairy products, orange, red, purple vegetables, white light-green seafood, rice) also significantly 0.05) MetS = 0.01) after adjusting for age, sex, BMI. Our results may help dieticians develop strategies preventing

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