Correlation of oral health and diet among institutionalized elderly people
Bibliographic record
Abstract
Oral health problems such as tooth loss, toothache and chewing complaints are contributing factors to malnutrition, especially among institutionalized elderly. Presence of difficulties in diet, as well as the increased health needs and the impaired health of the institutionalized elderly, the purpose of this research was established - to access the effect of the oral health on diet of institutionalized elderly people. This study was carried out in the period from April to August 2013, in the department “Mother Teresa”, part of Gerontology Institute “Thirteen November” - Skopje. Macedonia. The study covered a total number of 73 respondents who were older than 65 years. Subjects involved in the examined population during the examination were answering questions to identify the risk factors that are responsible for the effects of the chewing on the diet. A clinical examination was conducted in order to objectively notice the changes of the oral health. The average age of participants was 73.79 ± 6.92 years. Average time spent in the long-term care institution was 5 years and seven months. Most of the subjects has subjective filling that their own chewing do not satisfies adequate nutrition. Among one quarter of the subjects, the reason for not wearing prosthetic devices is inability to chew certain types of food. The average number of present (remaining) teeth was 5.81 ± 7.34. The percentage of elderly people with optimal oral health (20 or more teeth) is 4.11%. Average number of retained tooth roots is 0.69 ± 1.66 per subject. Main arithmetic values were calculated for gained data. This research has shown that the oral status of older people frequently affects their quality of life, and in particular, on the ability to eat several common types of foods.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".