INVESTIGATION OF THE RELATIONSHIP BETWEEN FRAILTY AND DEPENDENCY IN INDIVIDUALS LIVING IN A NURSING HOME
Bibliographic record
Abstract
The fragility that occurs with aging increases the risk of dependency. This study was conducted to determine the level of fragility in elderly individuals. The descriptive and cross-sectional study was conducted with 68 elderly people staying in nursing homes between 15.10.2019 and 30.02.2020. Data were collected through face-to-face interviews by the researcher using the Introductory Information Form, Edmonton Frail Scale and Barthel Index. 69.1% of the participants were female and the mean age was 77±10. The number of elderly with severe frailty was 22 (32.4%), and the number of those who were completely dependent was 23 (33.8%), and a statistically significant relationship was found between them (X2=19.55, p=0.00). The incidence of frailty was high in the elderly living in nursing homes. In parallel with the incidence of fragility, dependency levels were also found to be high. It is recommended to evaluate the elderly in terms of fragility in order to reduce their dependency levels.
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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 | 0.002 |
| 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) | 0.001 | 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".