Evidence map›Paper›PMID 38140357›Full record

ArticleNutrients2023

Optimization of a Food List for Food Frequency Questionnaires Using Mixed Integer Linear Programming: A Proof of Concept Based on Data from the Second German National Nutrition Survey.

Julia Blaurock, Thorsten Heuer, Kurt Gedrich

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Julia BlaurockResearch Group Public Health Nutrition, ZIEL-Institute for Food & Health, Technical University of Munich, Weihenstephaner Berg 1, 85354 Freising, Germany.ORCID 0000-0001-9536-0866
Thorsten HeuerDepartment of Nutritional Behaviour, Max Rubner-Institut, Federal Research Institute of Nutrition and Food, Haid-und-Neu-Straße 9, 76131 Karlsruhe, Germany.ORCID 0000-0002-7272-7829
Kurt GedrichResearch Group Public Health Nutrition, ZIEL-Institute for Food & Health, Technical University of Munich, Weihenstephaner Berg 1, 85354 Freising, Germany.ORCID 0000-0001-7321-2555

Funding

Food Nutrition Security Cloud 863059
6 · The paper itself

Abstract

Food Frequency Questionnaires (FFQs) are important instruments to assess dietary intake in large epidemiological studies. To determine dietary intake correctly, food lists need to be adapted depending on the study aim and the target population. The present work compiles food lists for an FFQ with Mixed Integer Linear Programming (MILP) to minimize the number of foods in the food list. The optimized food lists were compared with the validated eNutri FFQ. The constraints of the MILP aimed to identify food items with a high nutrient coverage in a population and with a high interindividual variability. The optimization was based on data from the second German National Nutrition Survey. The resulting food lists were shorter than the one used in the validated eNutri FFQ.

Indexed as

DietProgramming, LinearDiet SurveysEnergy IntakeFoodNutrition SurveysReproducibility of ResultsSurveys and Questionnairesfood frequency questionnairemixed integer linear programmingnutrient intakenutrition surveys

Identifiers

PMID38140357
PMCPMC10745589

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.