Prevalência e fatores sociodemográficos associados à fragilidade em mulheres idosas
Bibliographic record
Abstract
"Estudo transversal, que objetivou de estimar a prevalência de fragilidade em mulheres idosas, residentes no município de João Pessoa, Paraíba, Brasil; e identificar possíveis associações entre a fragilidade e as variáveis sociodemográficas. A amostra foi composta por 166 idosas, entrevistadas nos domicílios, entre abril e junho de 2011. Para a coleta dos dados, utilizou-se instrumento estruturado com questões relativas às variáveis sociodemográficas e à Edmonton Frail Scale. A análise descritiva dos dados, realizada pelo programa SPSS 15.0, mostrou que a maioria das idosas (60,8%) evidenciava algum grau de fragilidade. Entre elas, 21,7% eram aparentemente vulneráveis, 23,5%, com fragilidade leve, 7,8%, moderada, e 7,8%, e grave. Verificou-se associação do fenômeno com idade, escolaridade e renda, condições sobre as quais os enfermeiros devem atuar com vistas à prevenção do evento."
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.007 |
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; both teacher heads agree on what is shown here.
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".