Comparison of ADL and Symptoms in Elders with Dementia according to Family Resiliency
Bibliographic record
Abstract
Purpose: The purpose of this study was to identify family resiliency, ADL in elders with dementia, and symptom for families with an elder with dementia. Method: The participants were 102 people who were caregivers to elders with dementia and who visited the out-patient department at S. hospital for follow up care. Data were collected from August to October 2003 using a questionnaire. The collected data were analyzed using descriptive statistics and t-test aided by the SPSS/PC. Result: Family resiliency for the whole sample was within normal limits but when the sample was quarter-divided by good and poor family resiliency, based on established cut-off scores, there were differences for some characteristics according to good/poor family resiliency. These differences were for perceived health state of caregivers (t=-2.78, p=.008), economic state of family (t=-3.34, p=.002), and ADL (t=-2.56, p=.014). Conclusion: Future research should focus on the way in which family resiliency can be enhanced and on the effects of interventions for those caregivers who report poor family resiliency.
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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 | 0.004 |
| 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 | 0.001 |
| 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".