Background: Identification of population dietary patterns has been recommended by experts as a key to developing innovative and targeted nutrition interventions and achieving long-term dietary behavior changes for health promotion and chronic disease risk reduction. Essential in this task is the evaluation of methods to accurately identify these unique dietary patterns.
Objective: To evaluate the validity and test the performance of a method for classifying adult men and women into one of five a priori dietary patterns.
Socioeconomic position consistently predicts coronary heart disease; however, the biologic mechanisms that may mediate this association are not well understood. The objective of this study was to determine whether socioeconomic position (measured as educational level) is associated with inflammatory risk factors for coronary heart disease, including C-reactive protein, interleukin-6, soluble intercellular adhesion molecule-1, monocyte chemoattractant protein-1, and P-selectin. The study sample included 2,729 participants (53.
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