Evidence map›Paper›PMID 34444976›Full record

ReviewNutrients2021

Food Composition Databases: Does It Matter to Human Health?

Amélia Delgado, Manel Issaoui, Margarida C Vieira, Isabel Saraiva de Carvalho, Anthony Fardet

Abstract readReview
In one paragraph

Review in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

  1. Article
  2. Laboratory-Analyzed Nutrient Values Diverge from Database Estimates in Research-Specific Diets (Notably for Protein, Iron, Sodium).Journal of food composition and analysis : an official publication of the United Nations University, International Network of Food Data Systems · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Exploring Dietitians' Needs and Challenges in Food Data Literacy Training: A Mixed Methods Study.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2026
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Integrating Vision-Language Models for Accelerated High-Throughput Nutrition Screening.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Amélia DelgadoMediterranean Institute for Agriculture, Environment and Development, University of Algarve, 8005-139 Faro, Portugal.ORCID 0000-0002-8996-1822
Manel IssaouiDepartment of Biotechnology, Faculty of Science and Technology of Sidi Bouzid, University of Kairouan, Sidi Bouzid 9100, Tunisia.
Margarida C VieiraMediterranean Institute for Agriculture, Environment and Development, University of Algarve, 8005-139 Faro, Portugal.
Isabel Saraiva de CarvalhoMediterranean Institute for Agriculture, Environment and Development, University of Algarve, 8005-139 Faro, Portugal.ORCID 0000-0001-8057-3404
Anthony FardetUnité de Nutrition Humaine, INRAE, Route de Theix, 63122 Saint-Genès-Champanelle, France.ORCID 0000-0003-4972-9217

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Food provides humans with more than just energy and nutrients, addressing both vital needs and pleasure. Food habits are determined by a wide range of factors, from sensorial stimuli to beliefs and, once commanded by local and seasonal availability, are nowadays driven by marketing campaigns promoting unhealthy and non-sustainable foodstuffs. Top-down and bottom-up changes are transforming food systems, driven by policies on SDGs and by consumer's concerns about environmental and health impacts. Food quality, in terms of taste, safety, and nutritional value, is determined by its composition, described in food composition databases (FDBs). FDBs are then useful resources to agronomists, food and mechanical engineers, nutritionists, marketers, and others in their efforts to address at maximum human nutrient needs. In this work, we analyse some relevant food composition databases (viz., purpose, type of data, ease of access, regularity of updates), inspecting information on the health and environmental nexus, such as food origin, production mode as well as nutritional quality. The usefulness and limitations of food databases are discussed regarding what concerns sustainable diets, the food 'matrix effect', missing compounds, safe processing, and in guiding innovation in foods, as well as in shaping consumers' perceptions and food choices.

Indexed as

Databases, FactualData ManagementDietFoodNutritive ValueFeeding BehaviorFood SupplyHealth PromotionHumansSustainable Developmentfood datahealth promotionnational food composition databasesnatural substancesone healthsustainable foods

Identifiers

PMID34444976
PMCPMC8399939

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.