Life satisfaction and health self-assessment of older adults assisted through home care
Bibliographic record
Abstract
OBJECTIVE: to identify sociodemographic and health characteristics according to age groups and to analyze the association between self-assessed health status and satisfaction with regular/bad life with sociodemographic characteristics, global functioning and falls of older adults linked to home care within the primary health care network. METHOD: cross-sectional study with 124 older adults, conducted using home interviews. A sociodemographic data and health status questionnaire was used, together with Barthel Index, Lawton Instrumental Activities of Daily Living Scale (IADL), the Mini-Mental State Examination, the Geriatric Depression Scale and the Timed Up and Go Test. Bivariate and multivariate analyses (Poisson regression) were applied. RESULTS: there was a predominance of female octogenarians. Self-assessment of regular/bad health was associated with mild (p=0.002) and severe (p<0.001) depressive symptoms. Satisfaction with regular/bad life was associated with fear of falling (p=0.019) and with mild (p<0.001) and severe (p<0.001) depressive symptoms. CONCLUSION: depressive symptoms were associated with a worse life satisfaction and health self-assessment.
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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 | 0.003 |
| 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) | 0.002 | 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".