Evidence map›Paper›PMID 30577531›Full record

ArticleNutrients2018

The Glycaemic Index-Food-Frequency Questionnaire: Development and Validation of a Food Frequency Questionnaire Designed to Estimate the Dietary Intake of Glycaemic Index and Glycaemic Load: An Effort by the PREVIEW Consortium.

Elske M Brouwer-Brolsma, Agnes A M Berendsen, Diewertje Sluik, Anne M van de Wiel, Anne Raben, Jeanne H M de Vries, Jennie Brand-Miller, Edith J M Feskens

Abstract readValidation Study
In one paragraph

Article in Nutrients, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Nutritional strategies to attenuate postprandial glycemic response.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2022
    Review
  5. Article
  6. Article
  7. 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

8 authors.

Elske M Brouwer-BrolsmaDivision of Human Nutrition and Health, Wageningen University, 6700 AA Wageningen, The Netherlands. elske.brouwer-brolsma@wur.nl.ORCID 0000-0002-6829-5090
Agnes A M BerendsenDivision of Human Nutrition and Health, Wageningen University, 6700 AA Wageningen, The Netherlands. agnes.berendsen@wur.nl.ORCID 0000-0003-3459-0603
Diewertje SluikDivision of Human Nutrition and Health, Wageningen University, 6700 AA Wageningen, The Netherlands. diewertje.sluik@wur.nl.ORCID 0000-0001-6304-0913
Anne M van de WielDivision of Human Nutrition and Health, Wageningen University, 6700 AA Wageningen, The Netherlands. anne.vandewiel@wur.nl.
Anne RabenDepartment of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, DK-1958 Copenhagen, Denmark. ara@nexs.ku.dk.ORCID 0000-0001-5229-4491
Jeanne H M de VriesDivision of Human Nutrition and Health, Wageningen University, 6700 AA Wageningen, The Netherlands. jeanne.devries@wur.nl.
Jennie Brand-MillerCharles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney NSW 2006, Australia. jennie.brandmiller@sydney.edu.au.ORCID 0000-0002-6797-8754
Edith J M FeskensDivision of Human Nutrition and Health, Wageningen University, 6700 AA Wageningen, The Netherlands. edith.feskens@wur.nl.

Funding

EU 31 2057European Union Seventh Framework Programme (FP7/2007-2013) 312057Wageningen University naZonMw 115100007ZonMw 91110030ZonMw BBMRI-NL RP9ZonMw CP2011-38
6 · The paper itself

Abstract

Dietary glycaemic index (GI) and glycaemic load (GL) are indices used to quantify the effect of carbohydrate quality and quantity on postprandial glycaemia. GI/GL-health associations are widely studied but data on the validity of integrated GI/GL measurements are scarce. We evaluated the performance of a food-frequency questionnaire (FFQ) specifically developed to assess GI/GL. In total, 263 Dutch men and 212 women (aged 55 ± 11 years) completed a 58-item GI-FFQ, an 183-item general-FFQ and a 2-day 24 h-recall and donated blood for glycated haemoglobin (HbA1c) determination. The level of agreement between these methods was evaluated by (1) cross-classification, (2) correlations and (3) Bland and Altman plots. The three dietary assessment methods provided comparable mean intake estimates for total carbohydrates (range: 214⁻237 g/day), mono/disaccharides (100⁻107 g/day), polysaccharides (114⁻132 g/day), as well as bread, breakfast cereals, potatoes, pasta, rice, fruit, dairy, cakes/cookies and sweets. Mean (±SD) GI estimates were also comparable between the GI-FFQ (54 ± 3), general-FFQ (53 ± 4) and 24 h-recalls (53 ± 5). Mean (±SD) GI-FFQ GL (117 ± 37) was slightly lower than the general-FFQ GL (126 ± 38) and 24 h-recalls GL (127 ± 37). Classification of GI in quartiles was identical for the GI-FFQ and general-FFQ for 43% of the population (

Indexed as

Glycemic IndexGlycemic LoadAdultAgedDietDietary CarbohydratesDiet SurveysEatingFemaleGlycated HemoglobinHumansMaleMiddle AgedNetherlandsReproducibility of ResultsSurveys and QuestionnairesDietary CarbohydratesGlycated Hemoglobinhemoglobin A1c protein, human24 h-recallcarbohydratesdietary assessmentFFQglycaemic indexglycaemic loadvalidation

Identifiers

PMID30577531
PMCPMC6356369

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.