ArticleBMC nutrition2023
Nutrient scoring for the DEGS1-FFQ - from food intake to nutrient intake.
Article in BMC nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diet Quality and Risk of SARS-CoV-2 Infection or COVID-19: A Systematic Review of Observational Studies.Advances in nutrition (Bethesda, Md.) · 2023Pooled it
- A physically and mentally active lifestyle relates to younger brain and cognitive age.GeroScience · 2026Article
- Disparities in fatigue levels and dietary habits between men and women with inflammatory bowel disease: a comparative analysis with a control cohort.European journal of nutrition · 2026Article
- Assessing Orthorexic Tendencies and Dietary Patterns: A Cross-Sectional Study of Orthorexia Nervosa and Dietary Patterns in Lithuania.Nutrients · 2026Article
- Interaction between air pollution and diet on cognitive function in schoolchildren.BMC public health · 2026Article
- Article
- Associations of nutritional habits, lifestyle, and demographic factors with mental health outcomes among university students in Lebanon: a cross-sectional study.BMC public health · 2025Article
- Breakfast frequency, lifestyle-related factors and their association with body weight status among Polish primary school children aged 10 to 12 years: results from a nationwide cross-sectional study.Nutrition journal · 2025Article
- Sex Differences Outweigh Dietary Factors in Food-Related Quality of Life in Patients with Inflammatory Bowel Disease.Nutrients · 2025Article
- Periodized carbohydrate intake influences metabolic flexibility and indices of running economy during endurance training in recreationally active males.Frontiers in nutrition · 2025Article
- Exploring Dietary- and Disease-Related Influences on Flatulence and Fecal Odor Perception in Inflammatory Bowel Disease.Journal of clinical medicine · 2024Article
- Article
- Effects of a 10-Week Exercise and Nutritional Intervention with Variable Dietary Carbohydrates and Glycaemic Indices on Substrate Metabolism, Glycogen Storage, and Endurance Performance in Men: A Randomized Controlled Trial.Sports medicine - open · 2024Article
- Changes in eating habits and lifestyle during the first year of the COVID-19 pandemic across metropolitan regions in Brazil and Germany: A survey-based cross-sectional study.Food science & nutrition · 2024Article
- A low-carbohydrate, high-fat diet leads to unfavorable changes in blood lipid profiles compared to carbohydrate-rich diets with different glycemic indices in recreationally active men.Frontiers in nutrition · 2024Article
- Assessing gender differences in food preferences and physical activity: a population-based survey.Frontiers in nutrition · 2024Article
- Effects of single plant-based vs. animal-based meals on satiety and mood in real-world smartphone-embedded studies.NPJ science of food · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWhile 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).
methodsTo 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 sample of individuals (n
resultsIn overweight adults (n = 61 (21 female), mean age 28.2 ± 6.5 years, BMI 27.4 ± 1.6 kg/m
conclusionWe provide an openly available tool to systematically assess nutrient intake, including fiber, based on self-report by a common German FFQ. The computed nutrient scores resembled overall plausible and reliable measures of nutrient intake given the known limitations of FFQs regarding over- or underreporting and suggest valid comparability when adjusting for energy intake. Our open code nutrient scoring can help to examine dietary intake in experimental studies, including dietary fiber, and can be readily adapted to other FFQs. Further validation of computed nutrients with biomarkers and nutrient-specific metabolites in serum, urine or feces will help to interpret self-reported dietary intake.
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