Evidence map›Paper›PMID 41756197›Full record

ArticleJournal of oral microbiology2026

Association between diet quality and the oral microbiome in three US cohort studies.

Fangyu Li, Samuel Anyaso-Samuel, Yukiko Yano, Vicky C Chang, Xing Hua, Yunhu Wan, Casey L Dagnall, Kristine Jones, Belynda D Hicks, Amy Hutchinson and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of oral microbiology, 2026. 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. Review
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

20 authors.

Fangyu LiDivision of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Samuel Anyaso-SamuelDivision of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Yukiko YanoDivision of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Vicky C ChangDivision of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Xing HuaDivision of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Yunhu WanDivision of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Casey L DagnallDivision of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Kristine JonesDivision of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Belynda D HicksDivision of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Amy HutchinsonDivision of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Linda M LiaoDivision of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Wen-Yi HuangDivision of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Neal D FreedmanDivision of Cancer Control & Population Science, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Laura E Beane FreemanDivision of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Dale P SandlerEpidemiology Branch, Chronic Disease Epidemiology Group, National Institute for Environmental Health Science, National Institutes of Health, Research Triangle Park, NC, USA.
Christian C AbnetDivision of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Rashmi SinhaDivision of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.ORCID https://orcid.org/0000-0002-2466-7462
Jianxin ShiDivision of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.ORCID https://orcid.org/0000-0001-8606-4707
Erikka LoftfieldDivision of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Emily VogtmannDivision of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.ORCID https://orcid.org/0000-0003-1355-5593

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The oral microbiome has been associated with overall health, but the contribution of dietary habits to oral microbial composition is not well understood. Objective: We evaluated the association between diet quality (Healthy Eating Index [HEI] 2015) and the oral microbiome in the Agricultural Health Study, NIH-AARP Diet and Health Study, and Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial within 5,546 participants. Methods: Individual HEI components were scored from FFQ data and summed. Alpha and beta diversity and genus-level presence and relative abundance were estimated. The proportion of variability in the beta diversity matrices explained by diet quality and other covariates were calculated. Linear, logistic, and zero-inflated negative binomial regression models with adjustment for confounders were used and cohort-specific estimates were meta-analyzed. Results: Age explained the largest variability in beta diversity (Bray-Curtis), followed by smoking, education, and the HEI component for added sugar. Although overall diet quality was not associated with alpha diversity overall, the added sugar component was consistently inversely associated with alpha diversity. At the genus-level, most of the identified associations were with added sugar. Conclusions: Consumption of added sugars was consistently associated with oral microbial diversity and specific genera.

Indexed as

cancer riskcohort studyDiet qualityhealthy eating indexoral microbiome

Identifiers

PMID41756197
PMCPMC12934338

What OpenQuestion holds

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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.