Nutrient scoring for the DEGS1-FFQ - from food intake to nutrient intake.

ABSTRACT:

Background

While necessary for studying dietary decision-making or public health, estimates of nutrient supply based on self-reported food intake are barely accessible or fully lacking and remain a challenge in human research. In particular, detailed information on dietary fiber is limited. In this study we introduce an automated openly available approach to assess self-reported nutrient intake for research purposes for a popular, validated German food frequency questionnaire (FFQ).

Methods

To this end, we i) developed and shared a code for assessing nutrients (carbohydrates, fat, protein, sugar, fiber, etc.) for 53 items of the quantitative, validated German DEGS1-FFQ questionnaire implementing expert-guided nutritional values of diverse sources with several raters. In a sa

SUBMITTER: Thieleking R 

PROVIDER: S-EPMC9837986 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature