Evidence map›Paper›PMID 40181941›Full record

ArticleFrontiers in nutrition2025

Association between dietary patterns and existing natural teeth in Chinese elderly: a national community-based study.

Deng Huang, Pan Ding, Chao Lin, Liuhong Tian, Xiaodan Kuang, Jiaming Fang, Shulei Chen, Rongxiu Ding

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

8 authors.

Deng HuangDepartment of Quality Management, Wenzhou People's Hospital, Wenzhou, Zhejiang, China.
Pan DingSchool of Mental Health, Wenzhou Medical University, Wenzhou, Zhejiang, China.
Chao LinDepartment of Clinical Laboratory, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Liuhong TianDepartment of Preventive Medicine, School of Public Health, Wenzhou Medical University, Wenzhou, China.
Xiaodan KuangDepartment of Preventive Medicine, School of Public Health, Wenzhou Medical University, Wenzhou, China.
Jiaming FangDepartment of Preventive Medicine, School of Public Health, Wenzhou Medical University, Wenzhou, China.
Shulei ChenDepartment of Preventive Medicine, School of Public Health, Wenzhou Medical University, Wenzhou, China.
Rongxiu DingSchool and Hospital of Stomatology, Wenzhou Medical University, Wenzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To promote healthy aging, we aimed to evaluate the independent and joint effects of protein, sugar-salt, and anti-inflammatory diets on existing natural teeth among the Chinese elderly, and further explore the mediating role of body mass index (BMI). Methods: Based on the 2017-2019 Chinese Longitudinal Healthy Longevity Survey (CLHLS), 11,608 participants aged 65 and above were recruited in this cross-sectional study. Protein, sugar-salt, and anti-inflammatory diets were measured via a simplified 13-item dietary frequency questionnaire (dietary frequency around age 60). Restricted cubic spline and multiple linear regression analyses evaluated associations between dietary patterns and existing natural teeth, and mediation analysis explored BMI's role. Results: Protein and anti-inflammatory diets were positively and linearly associated with existing natural teeth, while sugar-salt diets were negatively and linearly associated. Compared with the low dietary patterns (Q1), high protein and anti-inflammatory diets (Q4) were associated with a higher number of teeth ( Conclusion: Promoting high protein and anti-inflammatory diets and reducing sugar-salt intake in elderly individuals may reduce tooth loss, possibly partly mediated through overweight or obesity.

Indexed as

anti-inflammatory dietBMIChinese elderlyexisting natural teethprotein dietsugar-salt diet

Identifiers

PMID40181941
PMCPMC11966427

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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.