Evidence map›Paper›PMID 27854276›Full record

ArticleNutrients2016

Development of a Web-Based 24-h Dietary Recall for a French-Canadian Population.

Simon Jacques, Simone Lemieux, Benoît Lamarche, Catherine Laramée, Louise Corneau, Annie Lapointe, Maude Tessier-Grenier, Julie Robitaille

Abstract read
In one paragraph

Article in Nutrients, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

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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.

Simon JacquesInstitute of Nutrition and Functional Foods, Laval University, 2440 Hochelaga Boulevard, Quebec City, QC G1V 0A6, Canada. simon.jacques.2@ulaval.ca.
Simone LemieuxInstitute of Nutrition and Functional Foods, Laval University, 2440 Hochelaga Boulevard, Quebec City, QC G1V 0A6, Canada. simone.lemieux@fsaa.ulaval.ca.
Benoît LamarcheInstitute of Nutrition and Functional Foods, Laval University, 2440 Hochelaga Boulevard, Quebec City, QC G1V 0A6, Canada. Benoit.Lamarche@fsaa.ulaval.ca.
Catherine LaraméeInstitute of Nutrition and Functional Foods, Laval University, 2440 Hochelaga Boulevard, Quebec City, QC G1V 0A6, Canada. Catherine.Laramee@fsaa.ulaval.ca.
Louise CorneauInstitute of Nutrition and Functional Foods, Laval University, 2440 Hochelaga Boulevard, Quebec City, QC G1V 0A6, Canada. Louise.Corneau@fsaa.ulaval.ca.
Annie LapointeInstitute of Nutrition and Functional Foods, Laval University, 2440 Hochelaga Boulevard, Quebec City, QC G1V 0A6, Canada. Annie.Lapointe@fsaa.ulaval.ca.
Maude Tessier-GrenierInstitute of Nutrition and Functional Foods, Laval University, 2440 Hochelaga Boulevard, Quebec City, QC G1V 0A6, Canada. maude.tessier-grenier.1@ulaval.ca.
Julie RobitailleInstitute of Nutrition and Functional Foods, Laval University, 2440 Hochelaga Boulevard, Quebec City, QC G1V 0A6, Canada. Julie.Robitaille@fsaa.ulaval.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Twenty-four-hour dietary recalls can provide high-quality dietary intake data, but are considered expensive, as they rely on trained professionals for both their administration and coding. The objective of this study was to develop an automated, self-administered web-based 24-h recall (R24W) for a French-Canadian population. The development of R24W was inspired by the United States Department of Agriculture (USDA) Automated Multiple-Pass Method. Questions about the context of meals/snacks were included. Toppings, sauces and spices frequently added to each food/dish were suggested systematically. A list of frequently forgotten food was also suggested. An interactive summary allows the respondent to track the progress of the questionnaire and to modify or remove food as needed. The R24W prototype was pre-tested for usability and functionality in a convenience sample of 29 subjects between the ages of 23 and 65 years, who had to complete one recall, as well as a satisfaction questionnaire. R24W includes a list of 2865 food items, distributed into 16 categories and 98 subcategories. A total of 687 recipes were created for mixed dishes, including 336 ethnic recipes. Pictures of food items illustrate up to eight servings per food item. The pre-test demonstrated that R24W is easy to complete and to understand. This new dietary assessment tool is a simple and inexpensive tool that will facilitate diet assessment of individuals in large-scale studies, but validation studies are needed prior to the utilization of the R24W.

Indexed as

Diet SurveysInternetAdolescentAdultAgedCanadaDietFemaleHumansMaleMental RecallMiddle AgedNutritional StatusNutrition AssessmentSoftware DesignSurveys and Questionnaires24-h dietary recallAutomated Multiple-Pass Methoddietary assessmentdietary intakehealthy eating indexMediterranean scoreweb application

Identifiers

PMID27854276
PMCPMC5133109

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.