ArticleCurrent developments in nutrition2026
Calculation of Compound Intake Levels Using Integrated Food Compound Databases and Food Intake Data.
Article in Current developments in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Cleaning and using FooDB: a method for extracting compound information and applying FooDB in dietary cohort studies.MethodsX · 2025Article
- Food Compounds Associated With Disease Activity in Inflammatory Bowel Disease.Inflammatory bowel diseases · 2025Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Despite substantial research, the mechanisms through which food influences disease largely remain unclear. Analyzing cohort data at the level of food compounds (i.e. individual molecules present in foods) may reveal new insights, and as a first step, we previously integrated 3 food compound databases. Objectives: This study aimed to combine the integrated food compound databases with food intake data to estimate compound intake levels and evaluate their plausibility. Methods: We used food frequency questionnaire (FFQ) records from 135 adult patients with inflammatory bowel disease from University Medical Center Utrecht. Generic FFQ-based dietary data were translated into compound intake values. We dealt with differing compound values across the databases by applying a systematic prioritization strategy to obtain a single representative value per compound in each food item. Intake amounts of 770 compounds were calculated for all 135 subjects. For vitamins and minerals, plausibility was assessed by checking whether the p50 of our calculated intake fell within the p5 to p95 range of Dutch population intake data. For fatty acids and polyphenols, plausibility was assessed by evaluating whether percentile ranges overlapped with those reported in literature. Results: Our findings indicate that all p50 values of our calculated intake data fell within the p5 to p90 range of the Dutch population intake data for vitamins and minerals. For fatty acids and polyphenols, intake ranges overlapped with those reported in literature for all compounds, but showed more deviation, likely due to regional dietary differences and the absence of standardized population-based intake benchmarks. Conclusions: Our study provides a foundation for food-health research by offering plausible intake estimates for a wide range of dietary compounds derived from Dutch cohort data.
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