Figure 1.

Identifying healthy dietary biomarkers using linear regression models. Five metabolites are found to be positively associated with the health conscious food pattern (HCFP) independent of traditional cardiovascular risk factors and one metabolite to be negatively associated. The linear regression models between the HCFP and fasting metabolite levels were adjusted for age, sex, body mass index, fasting glucose, fasting low-density lipoprotein cholesterol, fasting high-density lipoprotein cholesterol, fasting triglycerides, systolic blood pressure, antihypertensive treatment, season for dietary sampling, alcohol intake and smoking status. Beta represents a quintile increase or decrease in the five quintile scaled HCFP per SD increment of a metabolite. The cut-off for significance (p=0.00044) was calculated using Bonferroni correction, n=2513.