Mind-Fun Study: Feasibility of Square-stepping exercise in assisted living homes
Bibliographic record
Abstract
We proposed Square-stepping exercise (SSE) as a novel intervention in continuum care (CC) and long-term care (LTC) homes and conducted a pilot cluster randomized trial [2 SSE sites (2x/wk for 12-weeks) and 2 control sites]. Primary aim: to determine the feasibility of SSE via recruitment, attendance, and program fidelity. At baseline (V0) and post-intervention (V1) we assessed: cognition (Cambridge Brain Sciences), and mood and behaviour symptoms [participants with dementia (questionnaire)]. Participants (n=71) were 81.7 (SD 11.4) years old, and 75% female. Kinesiologists found SSE socially beneficial; however, there is limited feasibility as the overall attendance rate was 40.5%. SSE improved mood and behaviour symptom scores in participants with dementia (total, frequency, and severity), all F>1, p<0.05. No differences in cognition were seen. Further research is needed to determine the effectiveness of SSE on cognition; however, the feasibility is limited in diverse groups.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".