Evidence map›Paper›PMID 37630452›Full record

ArticleMicroorganisms2023

Ramen Consumption and Gut Microbiota Diversity in Japanese Women: Cross-Sectional Data from the NEXIS Cohort Study.

Jonguk Park, Hiroto Bushita, Ayatake Nakano, Ai Hara, Hiroshi M Ueno, Naoki Ozato, Koji Hosomi, Hitoshi Kawashima, Yi-An Chen, Attayeb Mohsen and 9 more

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 27% of its field
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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Food science & nutrition · 2026
    Article
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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

19 authors at 8 institutions in 1 country.

Jonguk ParkArtificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shinmachi, Settsu 566-0002, Osaka, Japan.ORCID 0000-0003-4872-385X
Hiroto BushitaInternational Life Sciences Institute (ILSI) Japan, Gobel Building 3-13-5, Morishita, Koto 135-0004, Tokyo, Japan.
Ayatake NakanoInternational Life Sciences Institute (ILSI) Japan, Gobel Building 3-13-5, Morishita, Koto 135-0004, Tokyo, Japan.
Ai HaraInternational Life Sciences Institute (ILSI) Japan, Gobel Building 3-13-5, Morishita, Koto 135-0004, Tokyo, Japan.
Hiroshi M UenoInternational Life Sciences Institute (ILSI) Japan, Gobel Building 3-13-5, Morishita, Koto 135-0004, Tokyo, Japan.ORCID 0000-0002-8293-9163
Naoki OzatoInternational Life Sciences Institute (ILSI) Japan, Gobel Building 3-13-5, Morishita, Koto 135-0004, Tokyo, Japan.ORCID 0000-0002-2038-4705
Koji HosomiLaboratory of Vaccine Materials and Laboratory of Gut Environmental System, Microbial Research Center for Health and Medicine, National Institutes of Biomedical Innovation, Health and Nutrition, 7-6-8 Saito-Asagi, Ibaraki 567-0085, Osaka, Japan.
Hitoshi KawashimaArtificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shinmachi, Settsu 566-0002, Osaka, Japan.ORCID 0000-0003-3612-4294
Yi-An ChenArtificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shinmachi, Settsu 566-0002, Osaka, Japan.ORCID 0000-0003-4936-8060
Attayeb MohsenArtificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shinmachi, Settsu 566-0002, Osaka, Japan.ORCID 0000-0003-0690-8012
Harumi OhnoDepartment of Physical Activity Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shinmachi, Settsu 566-0002, Osaka, Japan.
Kana KonishiDepartment of Physical Activity Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shinmachi, Settsu 566-0002, Osaka, Japan.
Kumpei TanisawaDepartment of Physical Activity Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shinmachi, Settsu 566-0002, Osaka, Japan.
Hinako NanriDepartment of Physical Activity Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shinmachi, Settsu 566-0002, Osaka, Japan.
Haruka MurakamiDepartment of Physical Activity Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shinmachi, Settsu 566-0002, Osaka, Japan.
Motohiko MiyachiDepartment of Physical Activity Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shinmachi, Settsu 566-0002, Osaka, Japan.ORCID 0000-0002-1146-0905
Jun KunisawaLaboratory of Vaccine Materials and Laboratory of Gut Environmental System, Microbial Research Center for Health and Medicine, National Institutes of Biomedical Innovation, Health and Nutrition, 7-6-8 Saito-Asagi, Ibaraki 567-0085, Osaka, Japan.
Kenji MizuguchiArtificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shinmachi, Settsu 566-0002, Osaka, Japan.ORCID 0000-0003-3021-7078
Michihiro ArakiArtificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shinmachi, Settsu 566-0002, Osaka, Japan.ORCID 0000-0002-6686-4018
National Institute of Biomedical Innovation, Health and Nutrition · JPLife Science Institute · JPWaseda University · JPKao Corporation (Japan) · JPKiryu University · JPKyoto University · JPRitsumeikan University · JPToyo University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A cross-sectional study involving 224 healthy Japanese adult females explored the relationship between ramen intake, gut microbiota diversity, and blood biochemistry. Using a stepwise regression model, ramen intake was inversely associated with gut microbiome alpha diversity after adjusting for related factors, including diets, Age, BMI, and stool habits (β = -0.018; r = -0.15 for Shannon index). The intake group of ramen was inversely associated with dietary nutrients and dietary fiber compared with the no-intake group of ramen. Sugar intake,

Indexed as

alpha diversitydietgut microbiotanutrientsramen

Identifiers

PMID37630452
PMCPMC10458504
OpenAlexW4385368415

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.