Prevalence and factors associated with frailty among elderly residents in urban area: Casino Deportivo, 2020.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Frail older persons are prone to falls, disability, dependency, hospitalization and death. The aim is to determine the most up-to-date prevalence of frailty among older adults (OA) and to characterize risk factors related to frailty. A cross-sectional study recruiting participants from the family health records of CMF No 17, "Antonio Maceo" who were > 60 years and utilizing recorded functional assessment, calculating frailty status using the Cuban criteria of frailty and assessing for associations using chi-Square and multiple binary regression on SPSS version 27. Most of the 128 participants were female (64.1%), aged between 60-69 years (40.6%), had white skin color (84.4%), were university graduates (31.3%), retired (48.4%) and had chronic illness (group III, 77.3%). The prevalence of frailty status was 5.1% and was associated with older age, skin color, education level and "health status" group. We observed a low frailty prevalence rate which may reflect improved elderly care. The findings on frailty risk factors may prove vital in prevention, screening and treatment.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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 it