The Feasibility of Square-Stepping Exercise as a Universal Intervention for Older Adults with Chronic Disease to Improve Cognitive and Physical Function
Bibliographic record
Abstract
Square-stepping exercise (SSE) is a cognitive training program with a physical component. An instructor demonstrates a stepping pattern across a gridded mat and participants are required to memorize and repeat the patterns on their own. In community-dwelling older adults, SSE has demonstrated some benefits on global cognitive functioning (GCF), balance, functional fitness, and social interaction.\nAims: to investigate the feasibility and efficacy of SSE in varied populations and settings to improve mobility and cognition. Populations included older adults with: knee osteoarthritis (OA), type 2 diabetes mellitus (T2DM) and self-reported cognitive complaints (sCC), and those living in long-term care (LTC) and continuum care (CC) homes.\nMethods: We conducted 3 pilot randomized controlled trials ranging from 12- to 24-weeks of SSE. Feasibility was determined through recruitment and attendance. Participants were assessed on a host of cognitive, functional, and gait outcomes before and after SSE.\nResults: We found that SSE was not feasible in older adults with knee OA and results were inconclusive whether it effected mobility in this population. SSE demonstrated improvements in the planning domain in older adults with T2DM and sCC. However, attendance remained a challenge in this group due to high disease burden (i.e. appointments and illness), and therefore it was not feasible. In LTC and CC homes, SSE was not feasible because recruitment and attendance were low. However, we showed that adults living with dementia improved on mood and behaviour symptom scores.\nConclusions: Square-stepping exercise is not a feasible program as implemented in this thesis and SSE showed limited benefit to cognitive and mobility outcomes. These pilot studies demonstrated the challenges of feasibility in adults with diverse cognitive and mobility impairments. Future studies should focus on addressing recruitment and adherence strategies for chronic disease populations.
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| 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 | 0.001 | 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".