title: Determinants of consumption-day amounts applicable for the estimation of usual dietary intake with a short 24-h food list.
abstract: Next to the information on frequency of food consumption, information on consumption-day amounts is important to estimate usual dietary intake in epidemiological studies. Our objective was to identify determinants of consumption-day amounts to derive person-specific standard consumption-day amounts applicable for the estimation of usual dietary intake using separate sources to assesss information on consumption probability and amount consumed. 24-h Dietary recall data from the German National Nutrition Survey II (n= 8522; aged 20-80 years) conducted between 2005 and 2007 were analysed for determinants of consumption-day amounts of thirty-eight food and beverage groups using LASSO variable selection for linear mixed-effects models. Determinants included sex, age, BMI, smoking status, years of education, household net income, living status and employment status. Most often, sex, age and smoking status were selected as predictors for consumption-day amounts across thirty-eight food groups. In contrast, living with a partner, employment status and household net income were less frequently chosen. Overall, different determinants were of relevance for different food groups. The number of selected determinants ranged from eight for coffee and juice to zero for cabbage, tea, root vegetables, leafy vegetables, fruit vegetables, legumes, offal, vegetable oils, and other fats. For the estimation of usual dietary intake in a combined approach with a 24-h food list, person-specific standard consumption-day amounts could be used. Sex, age and smoking status were shown to be the most relevant predictors in our analysis. Their impact on the estimation of usual dietary intake needs to be evaluated in future studies.
authors.affiliation: Department of Nutrition and Food Sciences , Nutritional Epidemiology , University of Bonn , Endenicher Allee 11-13 , 53115 Bonn , Germany.
authors.forename: Johanna
authors.initials: J
authors.lastname: Freese
authors.affiliation: Institute for Medical Informatics and Biometry , TU-Dresden , Fetscherstr. 74 , 01307 Dresden , Germany.
authors.forename: Mihaela
authors.initials: M
authors.lastname: Pricop-Jeckstadt
authors.affiliation: Department of Nutritional Behaviour , Max Rubner-Institut , Federal Research Institute of Nutrition and Food , Haid-und-Neu-Str. 9 , 76131 Karlsruhe , Germany.
authors.forename: Thorsten
authors.initials: T
authors.lastname: Heuer
authors.affiliation: Department of Epidemiology , German Institute of Human Nutrition Potsdam-Rehbruecke , Arthur-Scheunert-Allee 114-116 , 14558 Nuthetal , Germany.
authors.forename: Matthias
authors.initials: M
authors.lastname: Clemens
authors.affiliation: Department of Epidemiology , German Institute of Human Nutrition Potsdam-Rehbruecke , Arthur-Scheunert-Allee 114-116 , 14558 Nuthetal , Germany.
authors.forename: Heiner
authors.initials: H
authors.lastname: Boeing
authors.affiliation: Department of Epidemiology , German Institute of Human Nutrition Potsdam-Rehbruecke , Arthur-Scheunert-Allee 114-116 , 14558 Nuthetal , Germany.
authors.forename: Sven
authors.initials: S
authors.lastname: Knüppel
authors.affiliation: Department of Nutrition and Food Sciences , Nutritional Epidemiology , University of Bonn , Endenicher Allee 11-13 , 53115 Bonn , Germany.
authors.forename: Ute
authors.initials: U
authors.lastname: Nöthlings
keywords: 24HDR, 24-h dietary recall; Dietary assessment; Large-scale settings; NVS II, German National Nutrition Survey II; Nutritional epidemiology; Statistical modelling; Usual dietary intake