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- W4281703967 abstract "Abstract Objective and design: In this study, evaluation of the association of four dietary patterns with an array of biomarkers of systemic inflammation and lipid profile among 80 New Zealand postmenopausal women were conducted. Materials: Four dietary patterns were identified by principal component analysis (PCA) and plasma samples collected for inflammatory biomarkers and lipid profile measures. Results: There were negative correlations between intake of dietary fibre, soluble and insoluble non-starch polysaccharides (NSP), vitamin C and niacin and with almost all the inflammatory markers. Vegetables, tea/coffee and especially fruits were negatively correlated with the inflammatory biomarkers. High intake of Pattern 1 (potato, bread, and fruit pattern) was associated with a low risk of high IFN-α2, IFN-λ, IL-6 and IL-8 levels while a high intake of Pattern 3 (fast-food pattern) was associated high risk of IFN-α2 levels. Multiple linear regression showed a negative correlation between Pattern 2 (soups and vegetables pattern) and levels of CRP as well as ferritin. Positive association was observed between Pattern 3 (fast-food pattern) and CRP levels. Positive correlation was also observed between Pattern 2 and HDL and total cholesterol (TC) levels, Pattern 4 (meat and vegetables pattern) was however negatively correlated with TC, LDL and TC/HDL ratio. Conclusions: The result of this study reinforces the contribution and role of diet in modifying inflammation in postmenopausal women." @default.
- W4281703967 created "2022-06-13" @default.
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- W4281703967 date "2022-05-27" @default.
- W4281703967 modified "2023-10-18" @default.
- W4281703967 title "Associations between dietary patterns and an array of inflammation biomarkers and plasma lipid profile in postmenopausal women" @default.
- W4281703967 doi "https://doi.org/10.21203/rs.3.rs-1515566/v2" @default.
- W4281703967 hasPublicationYear "2022" @default.
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