Evidence map›Paper›PMID 36832773›Full record

ArticleFoods (Basel, Switzerland)2023

Vitamin D Food Fortification Strategies on Population-Based Dietary Intake Data Using Mixed-Integer Programming.

Sayantan Sengupta, Tue Christensen, Gitte Ravn-Haren, Rikke Andersen

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

4 authors.

Sayantan SenguptaResearch Group for Risk Benefit, National Food Institute, Technical University of Demark, 2800 Kongens Lyngby, Denmark.ORCID 0000-0003-3820-495X
Tue ChristensenResearch Group for Nutrition, Sustainability and Health Promotion, National Food Institute, Technical University of Demark, 2800 Kongens Lyngby, Denmark.ORCID 0000-0001-7693-7359
Gitte Ravn-HarenResearch Group for Risk Benefit, National Food Institute, Technical University of Demark, 2800 Kongens Lyngby, Denmark.ORCID 0000-0002-4587-089X
Rikke AndersenResearch Group for Risk Benefit, National Food Institute, Technical University of Demark, 2800 Kongens Lyngby, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dietary vitamin D intake of the Danish population is low, and food fortification is a strategy to increase intake. This paper explores the possibility of vitamin D fortification on the current population food intake in Denmark, such that the population receives adequate amounts of vitamin D without having to change current dietary patterns. A mixed-integer programming approach is used to arrive at a solution for the optimal fortification required at each food group level so that the majority of the population receive the minimum intake of average requirement (AR) and do not exceed the tolerable upper intake level (UL). The method shows a significant increase in vitamin D intake compared to the current scenario, keeping a neutral approach towards preferences of one food group over others. The method can also be fine-tuned in different scenarios where certain food group preferences are known, which can be encoded into the model in the form of constraints.

Indexed as

dietary intake datafoodfortificationinteger programmingoptimizationvitamin D

Identifiers

PMID36832773
PMCPMC9955950

What OpenQuestion holds

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Registered trials

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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.