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Effect of dietary patterns on serum C-reactive protein level

Lee, Y; Kang, D; Lee, S-A

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Background and Aims: C-reactive protein (CRP) is a marker of inflammation which has been shown in multiple prospective epidemiological studies to predict the risk of cardiovascular disease and metabolic syndrome. Dietary patterns may influence the risk of diseases through the effects of CRP on inflammation. The aim of this study was to examine the relationship of dietary patterns with CRP in blood, taking into consideration gender and blood pressure.Methods and Results: The present cross-sectional analysis included 7574 participants from a large, population-based study of middle-aged Koreans. Four dietary patterns, including 'fruit', 'vegetable', 'meat' and 'coffee', were derived using factor analysis. Multiple linear regressions were used to evaluate the association between dietary patterns and CRP after adjusting for age, sex, education, waist circumference, smoke status and alcohol consumption. We found that the 'vegetable' pattern was inversely associated with CRP (Ptrend = 0.01). The adjusted mean CRP was 0.04 mg/dl lower (95% CI -0.07, -0.01) for subjects in the highest quartile of the 'vegetable' pattern compared with those in the lowest quartile. This inverse association was more pronounced in men with hypertensive blood; CRP concentrations across increasing quartile categories of the 'vegetable' pattern score were 0.1, 0.14, and 0.15 mg/dl reduction compared to the 1st quartile (the lowest quartile) (Ptrend = 0.04, Plinearity = 0.02).Conclusions: The inverse association of the 'vegetable' pattern with CRP was assessed, and the association appeared to be more predominant in men with hypertensive blood pressure.

Automatic Tags

Female; Male; Adult; Risk Factors; Energy Intake; Blood Pressure; Human; Fruit; Vegetables; Coffee; Cross Sectional Studies; Food Habits; Middle Age; Factor Analysis; Biological Markers -- Blood; Linear Regression; Inflammation -- Blood; C-Reactive Protein -- Metabolism; Hypertension -- Blood; Meat -- Analysis

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