Evidence map›Paper›PMID 39683534›Full record

ArticleNutrients2024

Validity of a Web-Based 24-Hour Dietary Recall of Energy and Nutrient Intakes in Japanese Adults.

Misako Nakadate, Shunichiro Kobayashi, Junko Ishihara, Ribeka Takachi, Shiori Sugawara, Yuchie Hoshina, Kumiko Kito, Ayaka Kotemori, Sachiko Maruya, Aoi Suzuki and 11 more

Abstract readValidation Study
In one paragraph

Article in Nutrients, 2024. 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. Article
  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

21 authors.

Misako NakadateSchool of Life and Environmental Science, Azabu University, 1-17-71 Fuchinobe, Chuo-ku, Sagamihara-shi 252-5201, Japan.ORCID 0000-0003-2488-734X
Shunichiro KobayashiGraduate School of Environmental Health, Azabu University, 1-17-71 Fuchinobe, Chuo-ku, Sagamihara-shi 252-5201, Japan.
Junko IshiharaSchool of Life and Environmental Science, Azabu University, 1-17-71 Fuchinobe, Chuo-ku, Sagamihara-shi 252-5201, Japan.ORCID 0000-0002-9516-5646
Ribeka TakachiDepartment of Food Science and Nutrition, Nara Women's University Graduate School of Humanities and Sciences, Kitauoyahigashimachi, Nara-shi 630-8506, Japan.
Shiori SugawaraDepartment of Health and Nutrition, Sendai Shirayuri Women's College, Honda-Cho, Izumi-ku, Sendai-shi 981-3107, Japan.
Yuchie HoshinaDepartment of Nutrition, Sendai Seiyo Gakuin College, 4-5-3, Chuo, Aoba-ku, Sendai-shi 980-0021, Japan.
Kumiko KitoGraduate School of Environmental Health, Azabu University, 1-17-71 Fuchinobe, Chuo-ku, Sagamihara-shi 252-5201, Japan.
Ayaka KotemoriSchool of Life and Environmental Science, Azabu University, 1-17-71 Fuchinobe, Chuo-ku, Sagamihara-shi 252-5201, Japan.ORCID 0000-0003-3954-8615
Sachiko MaruyaDepartment of Food Science and Nutrition, Nara Women's University Graduate School of Humanities and Sciences, Kitauoyahigashimachi, Nara-shi 630-8506, Japan.ORCID 0000-0003-4138-8008
Aoi SuzukiDepartment of Food Science and Nutrition, Nara Women's University Graduate School of Humanities and Sciences, Kitauoyahigashimachi, Nara-shi 630-8506, Japan.
Taku ObaraTohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai-shi 980-8573, Japan.ORCID 0000-0002-3674-1674
Mami IshikuroTohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai-shi 980-8573, Japan.
Fumihiko UenoTohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai-shi 980-8573, Japan.
Aoi NodaTohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai-shi 980-8573, Japan.
Misato AizawaGraduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai-shi 980-8575, Japan.
Ippei TakahashiGraduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai-shi 980-8575, Japan.
Yudai YonezawaTohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai-shi 980-8573, Japan.ORCID 0000-0001-8723-1626
Takahiro YamashitaTohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai-shi 980-8573, Japan.
Shigenori SuzukiDiet & Well-Being Research Institute, KAGOME Co., Ltd., 17 Nishitomiyama, Nasushiobara 329-2762, Japan.ORCID 0000-0002-3023-8023
Keiko MurakamiTohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai-shi 980-8573, Japan.ORCID 0000-0003-2103-4106
Shinichi KuriyamaTohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai-shi 980-8573, Japan.

Funding

Japan Agency for Medical Research and Development JP17km0105001Japan Agency for Medical Research and Development JP21tm0124005Japan Society for the Promotion of Science (JSPS) KAKENHI: 15H02906, 20H01615KAGOME CO., LTD. none
6 · The paper itself

Abstract

Recently, web-based dietary assessment tools for the targeted population have been developed and used to estimate the dietary intake level in several epidemiological studies. This study aimed to examine the validity of estimating energy and nutrient intake by the web-based 24 h dietary recall (Web24HR), which we developed for the Japanese population. Overall, 228 adults aged ≥20 years who agreed to participate were included. Web24HR was administered three times per person: twice within 3 weeks and once 3 months later. The data on 3-day weighed food records (WFR) at 3-month intervals in the four seasons were collected using the reference method. The intake of energy and nutrients between Web24HR and WFR were compared using Pearson's correlation coefficients and the Bland-Altman analysis. As results, the correlations were moderate for both men (median r = 0.51) and women (median r = 0.38) except for iodine, retinol, retinol equivalents, and β-tocopherol. The Bland-Altman method revealed that the bias in intake was within ±10% for most nutrients, except for cholesterol, iodine, vitamin C, and the water content, in both sexes. Additionally, monounsaturated fatty acids in men and β-cryptoxanthin in women exhibited an underestimation of more than 10%. In conclusion, the Web24HR intake assessment showed moderate correlations for most nutrients in both sexes. The bias in intake was within ±10% for most nutrients, but there were discrepancies for some nutrients. This tool's performance is comparable to Japan's standard dietary exposure assessment methods and will be helpful for future applications in epidemiological studies, though caution is needed for certain nutrient assessments.

Indexed as

DietDiet RecordsEnergy IntakeInternetNutrition AssessmentAdultAgedDiet SurveysEast Asian PeopleFemaleHumansJapanMaleMental RecallMiddle AgedNutrientsNutrients24 h dietary recalldietary assessment toolonline dietary assessmentvalidityweb-based dietary assessment

Identifiers

PMID39683534
PMCPMC11644516

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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.