Evidence map›Paper›PMID 41981659›Full record

ArticleBMC nutrition2026

Evaluation of the nutrient content of dishes by the dish-version nutrient profile model in Japanese adults: the NHNS 2019.

Chika Okada, Yuko Tousen, Jun Takebayashi, Katsushi Yoshita, Yoshiko Ishimi, Hidemi Takimoto

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Article in BMC nutrition, 2026. 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

6 authors.

Chika OkadaNational Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka Shinmachi,Settsu-shi, Osaka, 566-0002, Japan.
Yuko TousenNational Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka Shinmachi,Settsu-shi, Osaka, 566-0002, Japan.
Jun TakebayashiNational Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka Shinmachi,Settsu-shi, Osaka, 566-0002, Japan.
Katsushi YoshitaDepartment of Nutrition, Osaka Metropolitan University Graduate School of Human Life and Ecology, 2-1-132 Morinomiya, Joto-ku, Osaka, 558- 8585, Japan.
Yoshiko IshimiTokyo NODAI Research Institute, Tokyo University of Agriculture, 1-1-1 Sakuragaoka, Setagaya-ku, Tokyo, 156-8502, Japan.
Hidemi TakimotoNational Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka Shinmachi,Settsu-shi, Osaka, 566-0002, Japan. thidemi@nibn.go.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to evaluate the nutrient content of dishes in Japan by applying a newly developed nutrient profile model for Japanese dishes using nationwide dietary data.

methodsOf the 71,526 dishes consumed, 92% were classified based on the dish criteria of the Japanese Food Guide and its extensions. We assessed staple, main, side, mixed main and side dishes, and mixed dishes with staples. The dish assessment was calculated using the dish-version nutrient profile model, which involved scoring dishes using subtracting recommended nutrient points from restricted nutrient points, indicating that a lower score is healthier.

resultsThe overall score range for all dishes spanned from − 7 to 11 (10–90th percentile). By dish type, the score ranges were as follows: from − 1 to 9 (staple dishes), from − 8 to 9 (main dishes), from − 8 to 4 (side dishes), from − 2 to 20 (mixed dish of main and side), and 2–26 (mixed dish with staples).

conclusionsThe findings clarified the score distribution of dishes in Japan using the dish-version nutrient profile model, reflecting the Japanese dietary pattern. This score distribution, as a multi-factor rating system, may provide useful insights for future research and potential applications in dish-based nutritional evaluation.

Indexed as

Dietary patternsDish evaluationHealthy dietNutrient profile modelNutrition survey

Identifiers

PMID41981659
PMCPMC13196170

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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.