Social participation is associated with better functionality, health status and educational level in elderly women
Bibliographic record
Abstract
Social participation (SP) has been identified as a protective factor for healthy aging. The aim of this study was to examine characteristics associated with social participation in elderly women. They were allocated 125 older women (aged ≥ 60 years) from Requinoa, Chile into two groups according to the level of SP: socially active (SA) and socially non-active (SNA). Modified Health Assessment Questionnaire, handgrip strength, unipedal stance test, timed up and go test, mini-mental state examination, age-adjusted Charlson comorbidity index, and educational level were assessed. The results indicated that SA women presented lower disability (P<0.001) and better dynamic balance and muscle strength than their SNA peers (P< 0.03 for all). Women who were SA presented less comorbidities (P=0.002) and higher education (P=0.03) compared to SNA. In conclusion, elderly women who are socially active have better functionality, health status and higher educational level than socially non-active.
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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 | 0.000 |
| 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".