Effects of thematic art programs on cognitive function and depressive symptoms in older adults
Bibliographic record
Abstract
The rapid aging of the global population underscores the need to employ innovative strategies, such as creative aging, to address the accompanying opportunities and challenges. This study investigated the effects of a thematic art program on cognitive abilities and depressive symptoms in older adults. An 8-week art program was developed. Participants attended weekly 2-hour sessions that focuses on connections with life experiences and the link between music and color. The study recruited 40 older adults aged between 60 and 90 years. Among the recruited older adults, 31 completed the entire program. The adults were recruited from community care centers in Northern Taiwan. The Montreal Cognitive Assessment, Stroop Color and Word Test, and Geriatric Depression Scale were used to assess cognitive and depressive symptoms. Participatory program observations and follow-up interviews were conducted to cross-check the results. Significantly improved cognitive abilities (in the overall cognitive function, visuospatial/executive, and orientation domains), executive function, and selective attention were observed. Additionally, the participants reported significantly reduced depressive symptoms. The intervention maintained and improved the physical and mental health of the participants. The empirical results provide a practical reference for developing art programs for older adults.
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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 | 0.000 | 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) | 0.001 | 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".