Protocol for an intergenerational randomized controlled trial to enhance physical activity in older adults at risk for Alzheimer's disease
Bibliographic record
Abstract
BACKGROUND: Physical inactivity is one of the most important modifiable risk factors for Alzheimer's disease in North America. Despite this, most older adults are physically inactive. It is currently unknown how to successfully motivate physical activity behavior in older adults at risk for Alzheimer's disease, and this knowledge is crucial for early and effective disease prevention. Prior research has shown that intergenerational social engagement and prosocial behaviours can enhance the health and well-being of older adults. OBJECTIVES: This manuscript describes the design of a randomized controlled trial that will test the efficacy of a behavioral intervention to enhance physical activity in older adults at risk for Alzheimer's disease. DESIGN/SETTING: This is a single-blinded, two-arm stratified randomized controlled trial that incorporates a hybrid efficacy and implementation design. Participants are randomized to an intervention or control condition in a 1:1 ratio and are stratified by a multimodal Alzheimer's disease risk score. All study visits are conducted remotely through videoconferencing. PARTICIPANTS: The study aims to recruit 60 older adults with a first-degree family history of Alzheimer's disease from the PREVENT-AD cohort and 30 younger adults who are paired with older adults in the intervention condition. INTERVENTION: Older participants in the intervention group will be paired with younger study partners and receive positive, daily messages over four weeks using a novel technology platform. The daily messages combine intergenerational social engagement (growing a virtual garden with a younger study partner) and prosocial goals (donations to charity after reaching step count goals). MEASUREMENTS: The primary outcome is change in step count compared to baseline measured using a wrist-worn triaxial accelerometer. Secondary outcomes include time spent physically active, mood, generativity, loneliness, and cognition. Target mechanisms (social support and generativity) of physical activity engagement will be examined. Ease of use, acceptability, and feasibility of the technology as well as barriers and facilitators of participation will be assessed. CONCLUSIONS: This research will advance our understanding of mechanisms and individual differences underlying successful physical activity engagement in older adults who are at risk for Alzheimer's disease. This knowledge will contribute to strategies for promoting health behaviours that can prevent the risk of Alzheimer's disease.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".