Swallowing performance of elderly people and sociodemographic, cognitive and language factors
Bibliographic record
Abstract
PURPOSE: To analyze the correlation between swallowing, language and cognition performance and describe the sociodemographic data of elderly people without previous neurological disorders. METHODS: Analytical cross-sectional study, with non-probabilistic sample for convenience and data collection by telecall. The aspiration screening test (Yale Swallow Protocol) was used to identify and exclude elderly people at risk of aspiration. Then, sociodemographic data were collected, and instruments were applied: activity of daily living (IADLs), risk of dysphagia (EAT-10), cognitive screening (Mini Mental State Examination - MMSE) and language (Montreal-Toulouse Language Battery - MTL-Brazil). RESULTS: The sample consisted of 32 elderly people from the Federal District, with a mean age of 69.00±7.73 years and schooling of 10.00±5.60 years. The scores on the EAT-10, MMSE and MTL Battery instruments were altered in four, 22 and 26 elderly, respectively, indicating, in this case, risk of dysphagia, suggestion of cognitive alteration and language alteration. Regarding food, of the total sample, 13 seniors (40%) complained of needing modified food, as well as 10 of these also obtained MMSE scores suggestive of cognitive alteration. When comparing the groups with and without complaints and/or risk of dysphagia, there was no statistically significant difference in relation to sociodemographic, cognitive and language variables. Binary logistic regression models also showed no statistically significant results. CONCLUSION: The present study, when correlating the swallowing, language and cognition findings, did not obtain statistically significant results. It was observed that the elderly with swallowing complaints also showed results suggestive of cognitive and language changes in the tests performed, but there was no statistically significant difference in relation to the elderly without complaints or swallowing changes.
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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".