Evidence map›Paper›PMID 42539383›Full record

ArticleFrontiers in nutrition2026

Fruit and vegetable consumption frequency and tooth-loss transitions across baseline dentition strata in older Chinese adults: a prospective cohort study.

Kan Xu, Xiaojuan Su, Wenqiang Lu, Ziqi Yang, Yihao Pei, Changjiang Wu, Yiming Mao, Fang Li, Ying Yuan

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Article in Frontiers in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Kan Xu *Department of Geriatrics, Zhongshan Hospital, Fudan University, Shanghai, China.
Xiaojuan Su *Department of Geriatrics, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China.
Wenqiang Lu *Department of Thoracic Surgery, Suzhou Kowloon Hospital, Shanghai Jiao Tong University School of Medicine, Suzhou, China.
Ziqi Yang *School of Stomatology, Medical College of Jinzhou Medical University, Jinzhou, China.
Yihao Pei *School of Stomatology, Medical College of Jinzhou Medical University, Jinzhou, China.
Changjiang WuDepartment of Intensive Care Unit, Suzhou Kowloon Hospital, Shanghai Jiao Tong University School of Medicine, Suzhou, China.
Yiming MaoDepartment of Thoracic Surgery, Suzhou Kowloon Hospital, Shanghai Jiao Tong University School of Medicine, Suzhou, China.
Fang LiDepartment of Geriatrics, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China.
Ying YuanDepartment of Geriatrics, Zhongshan Hospital, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Fruit and vegetable consumption is linked to oral health in later life, but whether consumption frequency is associated with subsequent tooth-loss transitions across baseline dentition stages remains unclear. We examined these associations in older Chinese adults. Methods: We used Chinese Longitudinal Healthy Longevity Survey data from 2008, 2011, 2014, and 2018. Participants aged ≥65 years were grouped by baseline dentition; the outcome was incident edentulism in the 1-19-teeth stratum and transition to fewer than 20 teeth in the 20-24 and 25-32-teeth strata. Models mutually adjusted fruit and vegetable consumption frequency. Target-population interpretation prioritised a full baseline-eligible cohort competing-outcome analysis treating death as a competing outcome; additional analyses addressed alternative exposure definitions, differential inclusion, and competing survival. Results: In the full baseline-eligible cohort competing-outcome analysis among participants with 1-19 baseline teeth, more frequent vegetable consumption showed an attenuated inverse association with incident edentulism after accounting for death as a competing outcome (HR 0.88, 95% CI 0.73-1.04). In the observed-outcome sample with follow-up tooth counts, the corresponding vegetable estimate was stronger (HR 0.83, 95% CI 0.69-0.99), whereas fruit consumption was not associated with incident edentulism (HR 0.97, 95% CI 0.86-1.09). Associations in the 20-24 and 25-32 baseline-teeth strata were weaker and less consistent. Conclusion: Among older Chinese adults with 1-19 baseline natural teeth, higher vegetable consumption frequency showed only a weak inverse association with incident edentulism when the full baseline-eligible cohort and competing death were considered, whereas fruit consumption remained near null. The stronger estimate from the observed-outcome sample may overstate the association in the target population and should not be interpreted as evidence of an independent protective effect.

Indexed as

Chinese Longitudinal Healthy Longevity Surveycohort studyedentulismfruit consumption frequencyolder adultsOral healthtooth lossvegetable consumption frequency

Identifiers

PMID42539383
PMCPMC13423628

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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.