 The study examined the factors associated with consumption day amounts of 38 food items in the German National Nutrition Survey too. The results showed that sex, age, smoking status, years of education, household net income, living status and employment status were all significant predictors of consumption day amounts. Coffee, juice, and tea had the highest number of selected determinants, while cabbage, tea, root vegetables, leafy vegetables, fruit vegetables, legumes, awful vegetable oils, and other fats had no determinants selected. The authors concluded that sex, age, and smoking status are the most relevant predictors of consumption day amounts and their impact should be further investigated when estimating usual dietary intake. This article was authored by Johanna Fries, Mihaila Preikopjextat, Torsten Heuer, and others.