ArticleBMC geriatrics2022
Oral health and depressive symptoms among older adults in urban China: a moderated mediation model analysis.
Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 12 citations in OpenAlex.
- Oral Structural and Functional Impairment in Relation to Depressive Outcomes in Older Adults: A Systematic Review and Meta-Analysis of Observational Studies.Diseases (Basel, Switzerland) · 2026Review
- Association of oral frailty, social support, and technophobia with depressive symptoms in Chinese older adults with chronic diseases: a cross-sectional study.Scientific reports · 2026Article
- The association of oral health with anxiety symptoms among older adults in China: a cross-sectional study.BMC geriatrics · 2026Article
- Prediction of depressive symptoms in middle-aged and older adult hospitalized patients with chronic diseases: a multicenter study in Anhui, China using machine learning methods.Frontiers in public health · 2026Article
- Mediating role of malnutrition in the associations between oral frailty, food insecurity, and depression among rural older adults: an exploratory model-based analysis.Frontiers in public health · 2026Article
- Barriers to oral health management in inpatients with late-life depression: a qualitative study.BMC oral health · 2025Article
- Influence of oral health and social support on life satisfaction in Chilean older adults: evidence from a comprehensive factor analysis.Scientific reports · 2025Observational
- Community built environment attributes moderate the relationship between family support and depression among older adults in urban China.BMC geriatrics · 2025Article
- Association of social frailty, sarcopenia, and oral frailty with depressive symptoms in Chinese older adults: a cross-sectional study.BMC public health · 2025Article
- Dietary diversity and life satisfaction as mediators in the relationship between oral health and depression among older adults in china: a cross-sectional study.Frontiers in psychology · 2025Article
- Relationship between the number of lost teeth and the occurrence of depressive symptoms in middle-aged adults: a cross-sectional study.BMC oral health · 2024Article
- Research hotspots and trends of oral health in older adults from 2013 to 2023: A bibliometric and visual analysis.Heliyon · 2024Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study explored the association between oral health and depression occurs via daily dietary satisfaction as a mediator, and that body mass index could moderate the path between daily dietary satisfaction and depression.
methodsData for this research were derived from a community survey adopting quota sampling in the cities of Tianjin and Shijiazhuang in mainland China in 2020 (N = 781). The moderated mediation model was tested by using bootstrapping with resampling strategies, and the Johnson-Neyman technique was used to visualize the moderating effect of body mass index.
resultsA significant negative association between oral health and depression has been indicated (B = -0.22, SE = 0.11, 95%CI [- 0.44, - 0.01]), and dietary satisfaction partially mediated the relationship between oral health and depression (B = -0.04, SE = 0.02, 95%CI [- 0.09, - 0.002]). The path was moderated by body mass index, and the effect of dietary satisfaction on depression was much greater in people with relatively low body mass index.
conclusionsThis study present evidence for policymakers and researchers that strategies to enhance oral health and daily dietary satisfaction could be important for preventing depression in Chinese older adults, and especially for the relatively fitter older groups with lower body mass index.
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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.