Frailty syndrome among elderly and associated factors: comparison of two cities
Bibliographic record
Abstract
OBJECTIVE: to compare the frailty syndrome among elderly people living at home in two Brazilian cities and to identify factors related to sociodemographic and health-related variables. METHOD: population-based cross-sectional study with 480 elderly individuals from the cities of Ribeirão Preto/SP and João Pessoa/PB, with application of the Mini Mental State Examination instruments and the Edmonton Frailty, Geriatric Depression and Lawton and Brody scales. Descriptive analysis, Chi-square test, Fisher's test, Student's t-test, Spermann's correlation and Logistic regression were used. In all analyzes, the level of significance was set at p≤0.05. RESULTS: in relation to frailty, it was verified that living in Ribeirão Preto, presenting advanced age, low schooling, multiple chronic diseases, reduced cognitive status and functional capacity, besides depressive symptoms, are factors associated with the frailty syndrome, in both cities. CONCLUSION: we identified that the frailty syndrome in the elderly of both cities has a relation with the place where the elderly person lives, age, schooling, number of diseases, reduction of cognitive status, functional capacity and presence of symptoms depressive.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".