Masticatory function and mortality among older adults living in long‐term care facilities in Brazil
Bibliographic record
Abstract
OBJECTIVE: To investigate the association between mortality and masticatory function in older adults living in long-term care facilities (LTCFs), controlling for demographic and health covariates. BACKGROUND: Poor oral health has been associated with mortality; however, no previous study investigated whether objective and self-reported poor masticatory function is a predictor of early mortality in LTCFs. MATERIALS AND METHODS: Baseline characteristics of 295 participants were collected, including age, sex, polypharmacy, mobility, activities of daily living, frailty, nutritional status, and objective (masticatory performance - chewing gum) and self-reported masticatory function. The participants were followed-up with for 4 years to record the mortality data. Cox regression models were run to analyse the data (α = .05). RESULTS: During the 4-year follow-up, 124 (42.0%) participants died. Older adults with poor masticatory performance (hazard ratio [HR] = 1.59, 95% confidence interval [95% CI] = 1.07-2.36) and those who self-reported masticatory dysfunction (HR = 1.48, 95% CI = 1.01-2.16) were at higher risk of early death than those with good mastication. However, in a multivariate model including both objective and self-reported masticatory function, only the objective measurement remained associated with early death (HR = 1.52, 95% CI = 1.02-2.27). CONCLUSION: Poor masticatory performance seems to be associated with early death in older adults living in LTCFs, but they may have shared risk factors accumulated throughout life that were not covered by the study period.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".