Evidence map›Paper›PMID 37111035›Full record

ArticleNutrients2023

Validation of Dietary Intake Estimated by Web-Based Dietary Assessment Methods and Usability Using Dietary Records or 24-h Dietary Recalls: A Scoping Review.

Utako Murai, Ryoko Tajima, Mai Matsumoto, Yoko Sato, Saki Horie, Aya Fujiwara, Emiko Koshida, Emiko Okada, Tomoko Sumikura, Tetsuji Yokoyama and 3 more

Abstract readScoping Review
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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
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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

13 authors.

Utako MuraiDepartment of Nutritional Epidemiology and Shokuiku, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Kento Innovation Park NK Building, 3-17 Shinmachi, Settsu City, Osaka 566-0002, Japan.
Ryoko TajimaDepartment of Nutritional Epidemiology and Shokuiku, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Kento Innovation Park NK Building, 3-17 Shinmachi, Settsu City, Osaka 566-0002, Japan.
Mai MatsumotoDepartment of Nutritional Epidemiology and Shokuiku, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Kento Innovation Park NK Building, 3-17 Shinmachi, Settsu City, Osaka 566-0002, Japan.
Yoko SatoDepartment of the Science of Living, Kyoritsu Women's Junior College, Tokyo 101-8437, Japan.
Saki HorieDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo 160-8582, Japan.
Aya FujiwaraDepartment of Nutritional Epidemiology and Shokuiku, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Kento Innovation Park NK Building, 3-17 Shinmachi, Settsu City, Osaka 566-0002, Japan.ORCID 0000-0001-9928-1946
Emiko KoshidaDepartment of Nutritional Epidemiology and Shokuiku, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Kento Innovation Park NK Building, 3-17 Shinmachi, Settsu City, Osaka 566-0002, Japan.
Emiko OkadaDepartment of Nutritional Epidemiology and Shokuiku, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Kento Innovation Park NK Building, 3-17 Shinmachi, Settsu City, Osaka 566-0002, Japan.ORCID 0000-0002-9345-0937
Tomoko SumikuraDepartment of Nutritional Epidemiology and Shokuiku, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Kento Innovation Park NK Building, 3-17 Shinmachi, Settsu City, Osaka 566-0002, Japan.ORCID 0009-0005-9921-4205
Tetsuji YokoyamaDepartment of Health Promotion, National Institute of Public Health, Wako 351-0197, Japan.
Midori IshikawaDepartment of Health Promotion, National Institute of Public Health, Wako 351-0197, Japan.ORCID 0000-0002-3451-5710
Kayo KurotaniFaculty of Food and Health Sciences, Showa Women's University, Tokyo 154-8533, Japan.ORCID 0000-0002-0109-6046
Hidemi TakimotoDepartment of Nutritional Epidemiology and Shokuiku, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Kento Innovation Park NK Building, 3-17 Shinmachi, Settsu City, Osaka 566-0002, Japan.ORCID 0000-0002-2751-8710

Funding

The basic research to secure and improve the quality of national health and nutrition surveys project 20FA1901
6 · The paper itself

Abstract

The goal was to summarize studies comparing the accuracy of web-based dietary assessments with those of conventional face-to-face or paper-based assessments using 24-h dietary recall or dietary record methods in the general population. Using two databases, mean differences and correlation coefficients (CCs) for intakes of energy, macronutrients, sodium, vegetables, and fruits were extracted from each study independently by the authors. We also collected information regarding usability from articles reporting this. From 17 articles included in this review, the mean dietary intake differences in the web-based dietary assessment compared to conventional methods, were -11.5-16.1% for energy, -12.1-14.9% for protein, -16.7-17.6% for fat, -10.8-8.0% for carbohydrates, -11.2-9.6% for sodium, -27.4-3.9% for vegetables, and -5.1-47.6% for fruits. The CC was 0.17-0.88 for energy, protein, fat, carbohydrates, and sodium, and 0.23-0.85 for vegetables and fruits. In three out of four studies reporting usability, more than half of the participants preferred the web-based dietary assessment. In conclusion, % difference and CC of dietary intake were acceptable in both web-based dietary records and 24-h dietary recalls. The findings from this review highlight the possibility of wide-spread application of the web-based dietary assessment in the future.

Indexed as

DietNutrition AssessmentCarbohydratesDiet RecordsEatingEnergy IntakeHumansInternetMental RecallReproducibility of ResultsVegetablesCarbohydratesdietary assessmentscoping reviewvalidity

Identifiers

PMID37111035
PMCPMC10141001

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.