Poor oral health predicts cognitive impairment in elders
Bibliographic record
Abstract
Abstract Background Tooth loss, periodontal disease, dementia, and Alzheimer’s disease share several risk factors in older adults. Several previous studies have reported positive associations between these dental problems and global cognitive defects. However, limited is known about the relationships among multiple dental/periodontal statuses and different cognitive domains. Method This six‐year (2011‐2017) cohort study includes 515 older adults (65+). Global cognition was assessed by Montreal cognitive assessment‐Taiwan version (MoCA‐T). For cognitive domains, we used logical memory tests (immediate and delayed theme and free recall) in Wechsler Memory Scale‐Third Edition (WMS‐III) to assess memory. Trail Making Test A and B was used to assess attention and executive function, respectively. Digit span‐forward and backward was used to evaluate attention and working memory/short‐term memory, respectively. Verbal fluency tests were used to assess category/semantic fluency. A Z‐score was calculated for each cognitive domain‐specific test according to baseline mean and standard deviation. Oral health status includes tooth defect (dental caries, tooth wear, cervical abrasion, retained root or crown fracture), periodontal health (disease severity from healthy periodontal status, gingivitis to periodontitis), and arch integrity (no tooth loss nor retained root or crown fracture). Generalized linear mixed models were used to assess the associations above adjust important covariates. Result At baseline, periodontitis was associated with poor performance in executive function [Trail Making Test A: b = ‐0.14, 95% confidence interval (CI) = ‐0.27 to ‐0.01]. The association between baseline severity of tooth defect and poor memory decreased (logical memory‐immediate theme recall: b = ‐0.05, 95% CI = ‐0.10 to ‐0.01); similarly finding was found for attention domain (digit span‐forward: b = ‐0.04, 95% CI = ‐0.07 to ‐0.001). At baseline, loss of arch integrity was associated with a better working memory/short‐term memory (digit span‐backward: β = 0.18, 95% CI = 0.01 to 0.36); as follow‐up time increased, this association decreased over six years (β = ‐0.04, 95% CI = ‐0.07 to ‐0.003). Conclusion Periodontitis, tooth defects, or arch integrity was associated with poor performance of cognitive domains (memory, attention, and executive function) over time. A oral health evaluation may serve as predictors of the preclinical phase of dementia in its upcoming years.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".