The relationship between oral frailty and cognitive function in elderly patients with chronic diseases: the chain-mediated effect of nutrition status and the inflammatory marker CRP
Bibliographic record
Abstract
PURPOSE: This study aims to investigate the mediating role of nutritional status and the inflammatory marker C-reactive protein (CRP) in the relationship between oral frailty and cognitive function in elderly patients with chronic diseases. METHODS: A cross-sectional design was employed, and From June to December 2024, patients aged ≥ 60 years with chronic diseases from three tertiary hospitals in Henan Province were selected using convenience sampling. Data were collected using questionnaires, including the general information questionnaire, the Oral Frailty Screening Index-8 (OFI-8), the Mini Nutritional Assessment Short Form, the Montreal Cognitive Assessment, and laboratory tests for CRP. Descriptive demographic analysis and Pearson correlation analysis were conducted using SPSS 26.0, and the model 6 in macro program Process 4.1 was employed to test the chain mediation effect. RESULTS: (1) Regression analysis showed that oral frailty had a significant direct impact on cognitive function (β = -0.154, P < 0.01), and nutritional status (β = 0.228, P < 0.001) and CRP (β = -0.200, P < 0.001) also had significant effects on cognitive function. (2) The results of the mediating effect analysis showed that the simple mediating effects of nutritional status and CRP between oral frailty and cognitive function were -0.088 (95% CI: -0.138 to -0.048) and -0.056(95% CI: -0.097 to -0.029), respectively, and the chain mediating effect was - 0.022 (95% CI: -0.040 to -0.010). CONCLUSION: This study found direct and chain-mediated effects of nutritional status and CRP between oral frailty and cognitive function. It suggests that cognitive function can be improved by early identification of oral frailty, improving nutritional status and reducing chronic inflammation levels to delay or even reverse the onset and progression of cognitive dysfunction in elderly patients with chronic diseases.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".