Evidence map›Paper›PMID 37432274›Full record

ArticleNutrients2023

Definition of a Dietary Pattern Expressing the Intake of Vegetables and Fruits and Its Association with Intestinal Microbiota.

Toshitaka Yamauchi, Naoko Koyama, Ayumi Hirai, Hiroyuki Suganuma, Shigenori Suzuki, Koichi Murashita, Tatsuya Mikami, Yoshinori Tamada, Noriaki Sato, Seiya Imoto and 2 more

Abstract read
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 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

12 authors.

Toshitaka YamauchiInnovation Division, KAGOME CO., LTD., 17 Nishitomiyama, Nasushiobara 329-2762, Japan.
Naoko KoyamaInnovation Division, KAGOME CO., LTD., 17 Nishitomiyama, Nasushiobara 329-2762, Japan.
Ayumi HiraiInnovation Division, KAGOME CO., LTD., 17 Nishitomiyama, Nasushiobara 329-2762, Japan.
Hiroyuki SuganumaInnovation Division, KAGOME CO., LTD., 17 Nishitomiyama, Nasushiobara 329-2762, Japan.ORCID 0000-0001-6596-9881
Shigenori SuzukiInnovation Division, KAGOME CO., LTD., 17 Nishitomiyama, Nasushiobara 329-2762, Japan.ORCID 0000-0002-3023-8023
Koichi MurashitaInnovation Center for Health Promotion, Hirosaki University Graduate School of Medicine, 5 Zaifu-cho, Hirosaki 036-8562, Japan.
Tatsuya MikamiInnovation Center for Health Promotion, Hirosaki University Graduate School of Medicine, 5 Zaifu-cho, Hirosaki 036-8562, Japan.ORCID 0000-0002-6657-6446
Yoshinori TamadaInnovation Center for Health Promotion, Hirosaki University Graduate School of Medicine, 5 Zaifu-cho, Hirosaki 036-8562, Japan.ORCID 0000-0003-3483-9712
Noriaki SatoHuman Genome Center, The Institute of Medical Science, The University of Tokyo, Shirokanedai, Minato-ku, Tokyo 108-8639, Japan.
Seiya ImotoHuman Genome Center, The Institute of Medical Science, The University of Tokyo, Shirokanedai, Minato-ku, Tokyo 108-8639, Japan.
Ken ItohDepartment of Vegetable Life Science, Hirosaki University Graduate School of Medicine, Hirosaki 036-8562, Japan.ORCID 0000-0002-5518-0729
Shigeyuki NakajiInnovation Center for Health Promotion, Hirosaki University Graduate School of Medicine, 5 Zaifu-cho, Hirosaki 036-8562, Japan.ORCID 0000-0002-4190-5151

Funding

Japan Science and Technology Agency JPMJCE1302
6 · The paper itself

Abstract

Daily dietary habits directly or indirectly influence the intestinal microbiota, and the resulting changes in its composition and metabolic activity alter the health conditions of the host. Although many studies have analyzed the association between individual nutrients/food items and intestinal microbiota, the assessment of the diet and intestinal microbiota from a macroscopic perspective has not yet been performed in Japan. Therefore, we focused on vegetables and fruits and aimed to identify dietary patterns of high intake of these foods and to examine their relationship with the intestinal microbiota. This cross-sectional study included 1019 healthy individuals aged ≥20 years in a rural area in northern Japan. Six dietary patterns were detected by factor analysis using the brief-type self-administered diet history questionnaire (BDHQ) data to identify the "vege pattern", which was the dietary pattern rich in vegetables and fruits. Permutational multivariate analysis of variance revealed changes in β-diversity according to dietary patterns. In multivariable-adjusted models, the adherence to the vege pattern was positively correlated with α-diversity. This is the first study to reveal a correlation between intestinal microbiota and dietary habits rich in vegetables and fruits in a rural area of Japan.

Indexed as

Gastrointestinal MicrobiomeVegetablesCross-Sectional StudiesDietFruitHumansdietary patternsdiversitymicrobiotanutrientsvegetables and fruits

Identifiers

PMID37432274
PMCPMC10181458

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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.