Application of indoor gardening course in elderly people with mild cognitive impairment in pension institution
Bibliographic record
Abstract
ObjectiveTo explore the impact of indoor horticulture course on the cognitive function of elderly people with mild cognitive impairment in pension institution.MethodsFrom March 2024 to June 2024,80 elderly people with mild cognitive impairment in a pension institution in Guangzhou city were selected.Among them,40 elderly people in Park B were set as the control group,and the other 40 elderly people in Park A were set as the gardening group.The control group was given routine care in the park and participated in daily leisure activities.The gardening group attended 10⁃week indoor horticulture course on the basis of routine care.The scores of the Montreal Cognitive Assessment Scale(MoCA),Auditory Verbal Learning Test(AVLT),Verbal Fluency Test(VFT),Boston Naming Test(BNT),Shape Trails Test⁃A(STT⁃A),Shape Trails Test⁃B(STT⁃B),and Digital Span Test(DST) were compared between the two groups of elderly people with mild cognitive impairment before and after the intervention.ResultsAfter the intervention,the scores of MoCA, AVLT(immediate memory) and DST in the gardening group were higher than those in the control group,and all were statistically significant(all P<0.05).ConclusionsIndoor horticulture courses were helpful in enhancing the attention,memory and orientation of elderly people with mild cognitive impairment in pension institution.It could improve their overall cognitive function.It is an effective non⁃pharmaceutical intervention method to delay the progression of the elderly from mild cognitive impairment to dementia.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".