P1‐581: HOW DO WE BEST DELIVER EXERCISE TO PEOPLE WITH MCI AND DEMENTIA? A RANDOMIZED PARALLEL‐GROUP TRIAL
Bibliographic record
Abstract
Exercise benefits physical and cognitive function as well as functional abilities among people living with, or at risk for, dementia. While this group faces unique barriers to exercise such as memory impairment, attentional deficits, and apathy, there is little understanding of how best to help them exercise. This randomized parallel-group trial compares two exercise delivery options. We are currently enrolling adults (≥50 years) from two Canadian sites who are diagnosed with MCI or mild dementia (MoCA≥17 or MMSE≥22) who are safe to exercise, exercise ≤2x/wk, and have a care partner to support exercise uptake (target n=60). Otherwise, inclusion criteria are intentionally broad to reflect the spectrum of people seen in community/hospital memory clinics. Participants are randomly assigned to: 1) center-based exercise (CB); or 2) home-based exercise (HB). CB participants attend weekly 60min small-group exercise sessions, complemented by additional prescribed at-home exercise. HB participants also receive an exercise prescription and work with a certified exercise professional and their care partner to develop a plan for meeting the prescription from home. Monthly phone calls assess progress and challenges of HB participants and inform modification of the exercise prescription. The primary outcome is physical activity as assessed through accelerometery. Secondary outcomes include cognitive and physical function, functional abilities, and mood. We will determine the influence of person- and setting-specific factors on the primary outcome. Up to January 2018, we enrolled 28 people with MCI/early dementia (average [SD] age 75.5 [8.2] years and education of 15.0 [3.5] years; 18% female) who reported an average of 16min of moderate/vigorous exercise weekly. The 11 who declined to participate did so primarily due to lack of transportation or distance to the centre. Of 28 enrolled, 16 completed the study, 6 are in progress, and 6 withdrew. Baseline characteristics, progress, and challenges will be discussed. This study takes a pragmatic approach to evaluating the effectiveness of available exercise delivery options among people with MCI or early dementia. The study complements ongoing clinical trials regarding the efficacy of exercise and will inform strategies to implement emerging exercise recommendations in this group.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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".