Evidence map›Paper›PMID 40365427›Full record

ArticleFrontiers in public health2025

Mediation of nutritional status between the number of teeth and depressive symptoms in multi-ethnic older adults from Western China.

Xin Tian, Xin Xia, Huixian Li, Yuexia Hu, Yuqing Xie, Xiuying Hu, Jirong Yue, Birong Dong, Bei Wu, Yanyan Wang

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. 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. Review
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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

10 authors.

Xin Tian *Healthcare Innovation Research Laboratory, West China School of Nursing & National Clinical Research Center for Geriatrics, Science and Technology Department, West China Hospital, Sichuan University, Chengdu, China.
Xin Xia *Department of Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Huixian Li *Healthcare Innovation Research Laboratory, West China School of Nursing & National Clinical Research Center for Geriatrics, Science and Technology Department, West China Hospital, Sichuan University, Chengdu, China.
Yuexia Hu *Healthcare Innovation Research Laboratory, West China School of Nursing & National Clinical Research Center for Geriatrics, Science and Technology Department, West China Hospital, Sichuan University, Chengdu, China.
Yuqing XieHealthcare Innovation Research Laboratory, West China School of Nursing & National Clinical Research Center for Geriatrics, Science and Technology Department, West China Hospital, Sichuan University, Chengdu, China.
Xiuying HuInnovation Center of Nursing Research and Nursing Key Laboratory of Sichuan Province, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China.
Jirong YueDepartment of Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Birong DongDepartment of Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Bei WuRory Meyers College of Nursing and NYU Aging Incubator, New York University, New York, NY, United States.
Yanyan WangHealthcare Innovation Research Laboratory, West China School of Nursing & National Clinical Research Center for Geriatrics, Science and Technology Department, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Depression is a prevalent issue among older adults, affecting the quality of life and overall health of individuals. This study aimed to investigate the role of nutritional status in mediating the number of teeth and depressive symptoms. Method: A prospective multi-ethnic baseline data of 6,632 adults aged 50 years and older was derived from the 2018 West China Health and Aging Trend study. Depressive symptoms were assessed using the 15-item Geriatric Depression Scale, and nutritional status was evaluated with the Mini Nutritional Assessment-Short Form. A multiple linear regression was performed to assess the associations among the number of teeth, nutritional status, and depressive symptoms. Mediation models and pathway analysis were employed to investigate the mediating role of nutritional status. Results: The sample comprised 18 ethnic groups from western China. The percentage of depressive symptoms among participants was 17.3%. Multiple linear regression indicated a significant correlation between the number of teeth and depressive symptoms. The association remained statistically significant (β = -0.089; 95% CI -0.158, -0.020) after adjusting for MNA-SF scores. Mediation analysis confirmed nutritional status partially mediated the relationship between the number of teeth and depressive symptoms (indirect effect estimate = -0.059; 95% CI -0.076, -0.044, direct effect estimate = -0.089; 95% CI -0.158, -0.020). Furthermore, structural equation model for pathway analysis verified the correlation between the number of teeth, nutritional status, and depressive symptoms ( Conclusion: Nutritional status partially mediated the association between the number of teeth and depressive symptoms, revealing significant direct and indirect effects. Early identification of nutritional deficits and the maintenance of oral health are essential for preventing depression in older adults.

Indexed as

DepressionEthnicityNutritional StatusAgedAged, 80 and overChinaFemaleGeriatric AssessmentHumansMaleMiddle AgedProspective Studiesdepressive symptomsmediation analysisnutritional statusolder adultsthe number of teeth

Identifiers

PMID40365427
PMCPMC12069046

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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.