The Effects of a Therapeutic Recreation Program on Overall Well-being Among Older-adults with Alzheimer Disease and Their Care Partner
Bibliographic record
Abstract
Background: With the increased pressures that our aging population has on our country, this study looks at the effects that an 8 week Therapeutic Recreation infused program has on the well-being for both individuals with Alzheimer Disease and their Care Partner. Method: Sample of the study is from a single secondary data set. Sampling criteria for the study was individuals with early to mid-stage signs of Alzheimer Disease or other dementias and their Care Partner from across 6 different locations in Ontario, Canada. Pre and Post data from the Warwick-Edinburgh Mental Well-Being Scale was analyzed through a repeated measures ANOVA. Results: Care Partners indicated an increase in well-being slightly higher than that of the Persons With Dementia. This slight increase in well-being was not statistically significant for either the Care Partner or the Person’s with Dementia. Unexpected ANOVA findings revealed that there was a significant between-subject effect as Care Partners showed a higher overall level of well-being. This further emphasizes the importance for early intervention for Persons with Dementia. Conclusion: Overall this program is in the early stages of development. It is still believed that program modifications could facilitate a cost-effective intervention for communities.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.004 | 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".